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  • Bug Triage

    In this blog post brain dump, I'll attempt to describe the process my team tries to follow when dealing with new bug reports (specifically, code defect reports). This is not official Microsoft policy, just the way we do things… if you do things differently and want to share, you can do so at the bottom in the comments (or on your blog).Feature Triage TeamA subset of the feature crew, the triage team (which has representations from the PM, Dev and QA disciplines), looks at all unassigned bugs at regular intervals. This can be weekly or daily (or other frequency) dependent on which part of the product cycle we are in and what the untriaged bug load looks like. They discuss each bug considering the evidence and make a decision of whether the bug goes from Not Yet Assigned to Assigned (plus the name of the DEV to fix this) or whether it goes from Active to Resolved (which means it gets assigned back to the requestor for closure or further debate if they were not present at the triage meeting). Close to critical milestones, the feature triage team needs to further justify bugs they take to additional higher-level triage teams.Bug Opened = Not Yet AssignedSomeone (typically an SDET from the QA team) creates the bug item (e.g. in TFS), ensuring they populate all the relevant fields including: Title, Description, Repro Steps (including the Actual Result at the end of the steps), attachments of code and/or screenshots, Build number that they observed the issue in, regression details if applicable, how it was found, if a test case exists or needs to be created etc. They also indicate their opinion on the Priority and Severity. The bug status is left as Not Yet Assigned."Issue" versus "Fix for issue"The solution to some bugs is easy to determine, e.g. "bug: the column name is misspelled". Obviously the fix is to correct the spelling – still, the triage team should be explicit and enter the correct spelling in the bug's Description. Note that a bad bug name here would be "bug: fix the spelling of the column" (it describes the solution, rather than the problem).Other solutions are trickier to establish, e.g. "bug: the column header is not accessible (can only be clicked on with the mouse, not reached via keyboard)". What is the correct solution here? The last thing to do is leave this undetermined and just assign it to a developer. The solution has to be entered in the description. Behind this type of a bug usually hides a spec defect or a new feature request.The person opening the bug should focus on describing the issue, rather than the solution. The person indicates what the fix is in their opinion by stating the Expected Result (immediately after stating the Actual Result). If they have a complex suggested solution, that should be split out in a separate part, but the triage team has the final say before assigning it. If the solution is lengthy/complicated to describe, the bug can be assigned to the PM. Note: the strict interpretation suggests that any bug with no clear, obvious solution is always a hole in the spec and should always go to the PM. This also ensures the spec gets updated.Not Yet Assigned - Not Yet Assigned (on someone else's plate)If the bug is observed in our feature, but the cause is actually another team, we change the Area Path (which is the way we identify teams in TFS) and leave it as Not Yet Assigned. The triage team may add more comments as appropriate including potentially changing the repro steps. In some cases, we may even resolve the bug in our area path and open a new bug in the area path of the other team.Even though there is no action on a dev on the team, the bug still needs to be tracked. One way of doing this is to implement some notification system that informs the team when the tracked bug changed status; another way is to occasionally run a global query (against all area paths) for bugs that have been opened by a member of the team and follow up with the current owners for stale bugs.Not Yet Assigned - ResolvedThis state transition can only be made by the Feature Triage Team.0. Sometimes the bug description is not clear and in that case it gets Resolved as More Information Needed, so the original requestor can provide it.After understanding what the bug item is about, the first decision is to determine whether it needs to go to a dev.1. If it is a known bug, it gets resolved as "Duplicate" and linked to the existing bug.2. If it is "By Design" it gets resolved as such, indicating that the triage team does not think this is a bug.3. If the bug does not repro on latest bits, it is resolved as "No Repro"4. The most painful: If it is decided that we cannot fix it for this release it gets resolved as "Postponed" or "Won't Fix". The former is typically due to resources and time constraints, while the latter is due to deciding that it is not important enough to consume our resources in any release (yes, not all bugs must be fixed!). For both cases, there are other factors that contribute to the decision such as: existence of a reasonable workaround, frequency we expect users to encounter the issue, dependencies on other team to offer a solution, whether it breaks a core scenario, whether it prohibits customer feedback on a major feature, is it a regression from a previous release, impact of the fix on other partner teams (e.g. User Education, User Experience, Localization/Globalization), whether this is the right fix, does the fix impact performance goals, and last but not least, severity of bug (e.g. loss of customer data, security threat, crash, hang). The bar for fixing a bug goes up as the release date approaches. The triage team becomes hardnosed about which bugs to take, while the developers are busy resolving assigned bugs thus everyone drives for Zero Bug Bounce (ZBB). ZBB is when you have 0 active bugs older than 48 hours.Not Yet Assigned - AssignedIf the bug is something we decide to fix in this release and the solution is known, then it is assigned to a DEV. This is either the developer that will do the work, or a Lead that can further assign it to one of his developer team based on a load balancing algorithm of their choosing.Sometimes, the triage team needs the dev to do some investigation work before deciding whether to take the fix; similarly, the checkin for the fix may be gated on code review by the triage team. In these cases, these instructions are provided in the comments section of the bug and when the developer is done they notify the triage team for final decision.Additionally, a Priority and Severity (from 0 to 4) has to be entered, e.g. a P0 means "drop anything you are doing and fix this now" whereas a P4 is something you get to after all P0,1,2,3 bugs are fixed.From a testing perspective, if the bug was found through ad-hoc testing or an external team, the decision is made whether test cases should be added to avoid future regressions. This is communicated to the QA team.Assigned - ResolvedWhen the developer receives the bug (they should be checking daily for new bugs on their plate looking at bugs in order of priority and from older to newer) they can send it back to triage if the information is not clear. Otherwise, they investigate the bug, setting the Sub Status to "Investigating"; if they cannot make progress, they set the Sub Status to "Blocked" and discuss this with triage or whoever else can help them get unblocked. Once they are unblocked, they set the Sub Status to "Working on Solution"; once they are code complete they send a code review request, setting the Sub Status to "Fix Available". After the iterative code review process is over and everyone is happy with the fix, the developer checks it in and changes the state of the bug from Active (and Assigned to them) to Resolved (and Assigned to someone else).The developer needs to ensure that when the status is changed to Resolved that it is assigned to a QA person. For example, maybe the PM opened the bug, but it should be a QA person that will verify the fix - the developer needs to manually change the assignee in that case. Typically the QA person will send an email to the original requestor notifying them that the fix is verified.Resolved - ??In all cases above, note that the final state was Resolved. What happens after that? The final step should be Closed. The bug is closed once the QA person verifying the fix is happy with it. If the person is not happy, then they change the state from Resolved to Active, thus sending it back to the developer. If the developer and QA person cannot reach agreement, then triage can be brought into it. An easy way to do that is change the status back to Not Yet Assigned with appropriate comments so the triage team can re-review.It is important to note that only QA can close a bug. That means that if the opener of the bug was a PM, when the bug gets resolved by the dev it may land on the PM's plate and after a quick review, the PM would re-assign to an SDET, which is the only role that can close bugs. One exception to this is if the person that filed the bug is external: in that case, we leave it Resolved and assigned to them and also send them a notification that they need to verify the fix. Another exception is if specialized developer knowledge is needed for verifying the bug fix (e.g. it was a refactoring suggestion bug typically not observable by the user) in which case it is fine to have a developer verify the fix, and ideally a different developer to the one that opened the bug.Other links on bug triageA quick search reveals that others have talked about this subject, e.g. here, here, here, here and here.Your take?If you have other best practices your team uses to deal with incoming bug reports, feel free to share in the comments below or on your blog. Comments about this post welcome at the original blog.

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  • Using a "white list" for extracting terms for Text Mining, Part 2

    - by [email protected]
    In my last post, we set the groundwork for extracting specific tokens from a white list using a CTXRULE index. In this post, we will populate a table with the extracted tokens and produce a case table suitable for clustering with Oracle Data Mining. Our corpus of documents will be stored in a database table that is defined as create table documents(id NUMBER, text VARCHAR2(4000)); However, any suitable Oracle Text-accepted data type can be used for the text. We then create a table to contain the extracted tokens. The id column contains the unique identifier (or case id) of the document. The token column contains the extracted token. Note that a given document many have many tokens, so there will be one row per token for a given document. create table extracted_tokens (id NUMBER, token VARCHAR2(4000)); The next step is to iterate over the documents and extract the matching tokens using the index and insert them into our token table. We use the MATCHES function for matching the query_string from my_thesaurus_rules with the text. DECLARE     cursor c2 is       select id, text       from documents; BEGIN     for r_c2 in c2 loop        insert into extracted_tokens          select r_c2.id id, main_term token          from my_thesaurus_rules          where matches(query_string,                        r_c2.text)>0;     end loop; END; Now that we have the tokens, we can compute the term frequency - inverse document frequency (TF-IDF) for each token of each document. create table extracted_tokens_tfidf as   with num_docs as (select count(distinct id) doc_cnt                     from extracted_tokens),        tf       as (select a.id, a.token,                            a.token_cnt/b.num_tokens token_freq                     from                        (select id, token, count(*) token_cnt                        from extracted_tokens                        group by id, token) a,                       (select id, count(*) num_tokens                        from extracted_tokens                        group by id) b                     where a.id=b.id),        doc_freq as (select token, count(*) overall_token_cnt                     from extracted_tokens                     group by token)   select tf.id, tf.token,          token_freq * ln(doc_cnt/df.overall_token_cnt) tf_idf   from num_docs,        tf,        doc_freq df   where df.token=tf.token; From the WITH clause, the num_docs query simply counts the number of documents in the corpus. The tf query computes the term (token) frequency by computing the number of times each token appears in a document and divides that by the number of tokens found in the document. The doc_req query counts the number of times the token appears overall in the corpus. In the SELECT clause, we compute the tf_idf. Next, we create the nested table required to produce one record per case, where a case corresponds to an individual document. Here, we COLLECT all the tokens for a given document into the nested column extracted_tokens_tfidf_1. CREATE TABLE extracted_tokens_tfidf_nt              NESTED TABLE extracted_tokens_tfidf_1                  STORE AS extracted_tokens_tfidf_tab AS              select id,                     cast(collect(DM_NESTED_NUMERICAL(token,tf_idf)) as DM_NESTED_NUMERICALS) extracted_tokens_tfidf_1              from extracted_tokens_tfidf              group by id;   To build the clustering model, we create a settings table and then insert the various settings. Most notable are the number of clusters (20), using cosine distance which is better for text, turning off auto data preparation since the values are ready for mining, the number of iterations (20) to get a better model, and the split criterion of size for clusters that are roughly balanced in number of cases assigned. CREATE TABLE km_settings (setting_name  VARCHAR2(30), setting_value VARCHAR2(30)); BEGIN  INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.clus_num_clusters, 20);  INSERT INTO km_settings (setting_name, setting_value)     VALUES (dbms_data_mining.kmns_distance, dbms_data_mining.kmns_cosine);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.prep_auto,dbms_data_mining.prep_auto_off);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_iterations,20);   INSERT INTO km_settings (setting_name, setting_value) VALUES     VALUES (dbms_data_mining.kmns_split_criterion,dbms_data_mining.kmns_size);   COMMIT; END; With this in place, we can now build the clustering model. BEGIN     DBMS_DATA_MINING.CREATE_MODEL(     model_name          => 'TEXT_CLUSTERING_MODEL',     mining_function     => dbms_data_mining.clustering,     data_table_name     => 'extracted_tokens_tfidf_nt',     case_id_column_name => 'id',     settings_table_name => 'km_settings'); END;To generate cluster names from this model, check out my earlier post on that topic.

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  • 202 blog articles

    - by mprove
    All my blog articles under blogs.oracle.com since August 2005: 202 blog articles Apr 2012 blogs.oracle.com design patch Mar 2012 Interaction 12 - Critique Mar 2012 Typing. Clicking. Dancing. Feb 2012 Desktop Mobility in Hospitals with Oracle VDI /video Feb 2012 Interaction 12 in Dublin - Highlights of Day 3 Feb 2012 Interaction 12 in Dublin - Highlights of Day 2 Feb 2012 Interaction 12 in Dublin - Highlights of Day 1 Feb 2012 Shit Interaction Designers Say Feb 2012 Tips'n'Tricks for WebCenter #3: How to display custom page titles in Spaces Jan 2012 Tips'n'Tricks for WebCenter #2: How to create an Admin menu in Spaces and save a lot of time Jan 2012 Tips'n'Tricks for WebCenter #1: How to apply custom resources in Spaces Jan 2012 Merry XMas and a Happy 2012! Dec 2011 One Year Oracle SocialChat - The Movie Nov 2011 Frank Ludolph's Last Working Day Nov 2011 Hans Rosling at TED Oct 2011 200 Countries x 200 Years Oct 2011 Blog Aggregation for Desktop Virtualization Oct 2011 Oracle VDI at OOW 2011 Sep 2011 Design for Conversations & Conversations for Design Sep 2011 All Oracle UX Blogs Aug 2011 Farewell Loriot Aug 2011 Oracle VDI 3.3 Overview Aug 2011 Sutherland's Closing Remarks at HyperKult Aug 2011 Surface and Subface Aug 2011 Back to Childhood in UI Design Jul 2011 The Art of Engineering and The Engineering of Art Jul 2011 Oracle VDI Seminar - June-30 Jun 2011 SGD White Paper May 2011 TEDxHamburg Live Feed May 2011 Oracle VDI in 3 Minutes May 2011 Space Ship Earth 2011 May 2011 blog moving times Apr 2011 Frozen tag cloud Apr 2011 Oracle: Hardware Software Complete in 1953 Apr 2011 Interaction Design with Wireframes Apr 2011 A guide to closing down a project Feb 2011 Oracle VDI 3.2.2 Jan 2011 free VDI charts Jan 2011 Sun Founders Panel 2006 Dec 2010 Sutherland on Leadership Dec 2010 SocialChat: Efficiency of E20 Dec 2010 ALWAYS ON Desktop Virtualization Nov 2010 12,000 Desktops at JavaOne Nov 2010 SocialChat on Sharing Best Practices Oct 2010 Globe of Visitors Oct 2010 SocialChat about the Next Big Thing Oct 2010 Oracle VDI UX Story - Wireframes Oct 2010 What's a PC anyway? Oct 2010 SocialChat on Getting Things Done Oct 2010 SocialChat on Infoglut Oct 2010 IT Twenty Twenty Oct 2010 Desktop Virtualization Webcasts from OOW Oct 2010 Oracle VDI 3.2 Overview Sep 2010 Blog Usability Top 7 Sep 2010 100 and counting Aug 2010 Oracle'izing the VDI Blogs Aug 2010 SocialChat on Apple Aug 2010 SocialChat on Video Conferencing Aug 2010 Oracle VDI 3.2 - Features and Screenshots Aug 2010 SocialChat: Don't stop making waves Aug 2010 SocialChat: Giving Back to the Community Aug 2010 SocialChat on Learning in Meetings Aug 2010 iPAD's Natural User Interface Jul 2010 Last day for Sun Microsystems GmbH Jun 2010 SirValUse Celebration Snippets Jun 2010 10 years SirValUse - Happy Birthday! Jun 2010 Wim on Virtualization May 2010 New Home for Oracle VDI Apr 2010 Renaissance Slide Sorter Comments Apr 2010 Unboxing Sun Ray 3 Plus Apr 2010 Desktop Virtualisierung mit Sun VDI 3.1 Apr 2010 Blog Relaunch Mar 2010 Social Messaging Slides from CeBIT Mar 2010 Social Messaging Talk at CeBIT Feb 2010 Welcome Oracle Jan 2010 My last presentation at Sun Jan 2010 Ivan Sutherland on Leadership Jan 2010 Learning French with Sun VDI Jan 2010 Learning Danish with Sun Ray Jan 2010 VDI workshop in Nieuwegein Jan 2010 Happy New Year 2010 Jan 2010 On Creating Slides Dec 2009 Best VDI Ever Nov 2009 How to store the Big Bang Nov 2009 Social Enterprise Tools. Beipiel Sun. Nov 2009 Nov-19 Nov 2009 PDF and ODF links on your blog Nov 2009 Q&A on VDI and MySQL Cluster Nov 2009 Zürich next week: Swiss Intranet Summit 09 Nov 2009 Designing for a Sustainable World - World Usabiltiy Day, Nov-12 Nov 2009 How to export a desktop from VDI 3 Nov 2009 Virtualisation Roadshow in the UK Nov 2009 Project Wonderland at EDUCAUSE 09 Nov 2009 VDI Roadshow in Dublin, Nov-26, 2009 Nov 2009 Sun VDI at EDUCAUSE 09 Nov 2009 Sun VDI 3.1 Architecture and New Features Oct 2009 VDI 3.1 is Early-Access Sep 2009 Virtualization for MySQL on VMware Sep 2009 Silpion & 13. Stock Sommerparty Sep 2009 Sun Ray and VMware View 3.1.1 2009-08-31 New Set of Sun Ray Status Icons 2009-08-25 Virtualizing the VDI Core? 2009-08-23 World Usability Day Hamburg 2009 - CfP 2009-07-16 Rising Sun 2009-07-15 featuring twittermeme 2009-06-19 ISC09 Student Party on June-20 /Hamburg 2009-06-18 Before and behind the curtain of JavaOne 2009-06-09 20k desktops at JavaOne 2009-06-01 sweet microblogging 2009-05-25 VDI 3 - Why you need 3 VDI hosts and what you can do about that? 2009-05-21 IA Konferenz 2009 2009-05-20 Sun VDI 3 UX Story - Power of the Web 2009-05-06 Planet of Sun and Oracle User Experience Design 2009-04-22 Sun VDI 3 UX Story - User Research 2009-04-08 Sun VDI 3 UX Story - Concept Workshops 2009-04-06 Localized documentation for Sun Ray Connector for VMware View Manager 1.1 2009-04-03 Sun VDI 3 Press Release 2009-03-25 Sun VDI 3 launches today! 2009-03-25 Sun Ray Connector for VMware View Manager 1.1 Update 2009-03-11 desktop virtualization wiki relaunch 2009-03-06 VDI 3 at CeBIT hall 6, booth E36 2009-03-02 Keyboard layout problems with Sun Ray Connector for VMware VDM 2009-02-23 wikis.sun.com tips & tricks 2009-02-23 Sun VDI 3 is in Early Access 2009-02-09 VirtualCenter unable to decrypt passwords 2009-02-02 Sun & VMware Desktop Training 2009-01-30 VDI at next09? 2009-01-16 Sun VDI: How to use virtual machines with multiple network adapters 2009-01-07 Sun Ray and VMware View 2009-01-07 Hamburg World Usability Day 2008 - Webcasts 2009-01-06 Sun Ray Connector for VMware VDM slides 2008-12-15 mother of all demos 2008-12-08 Build your own Thumper 2008-12-03 Troubleshooting Sun Ray Connector for VMware VDM 2008-12-02 My Roller Tag Cloud 2008-11-28 Sun Ray Connector: SSL connection to VDM 2008-11-25 Setting up SSL and Sun Ray Connector for VMware VDM 2008-11-13 Inspiration for Today and Tomorrow 2008-10-23 Sun Ray Connector for VMware VDM released 2008-10-14 From Sketchpad to ILoveSketch 2008-10-09 Desktop Virtualization on Xing 2008-10-06 User Experience Forum on Xing 2008-10-06 Sun Ray Connector for VMware VDM certified 2008-09-17 Virtual Clouds over Las Vegas 2008-09-14 Bill Verplank sketches metaphors 2008-09-04 End of Early Access - Sun Ray Connector for VMware 2008-08-27 Early Access: Sun Ray Connector for VMware Virtual Desktop Manager 2008-08-12 Sun Virtual Desktop Connector - Insides on Recycling Part 2 2008-07-20 Sun Virtual Desktop Connector - Insides on Recycling Part 3 2008-07-20 Sun Virtual Desktop Connector - Insides on Recycling 2008-07-20 lost in wiki space 2008-07-07 Evolution of the Desktop 2008-06-17 Virtual Desktop Webcast 2008-06-16 Woodstock 2008-06-16 What's a Desktop PC anyway? 2008-06-09 Virtual-T-Box 2008-06-05 Virtualization Glossary 2008-05-06 Five User Experience Principles 2008-04-25 Virtualization News Feed 2008-04-21 Acetylcholinesterase - Second Season 2008-04-18 Acetylcholinesterase - End of Signal 2007-12-31 Produkt-Management ist... 2007-10-22 Usability Verbände, Verteiler und Netzwerke. 2007-10-02 The Meaning is the Message 2007-09-28 Visualization Methods 2007-09-10 Inhouse und Open Source Projekte – Usability verankern und Synergien nutzen 2007-09-03 Der Schwabe Darth Vader entdeckt das Virale Marketing 2007-08-29 Dick Hardt 3.0 on Identity 2.0 2007-08-27 quality of written text depends on the tool 2007-07-27 podcasts for reboot9 2007-06-04 It is the user's itch that need to be scratched 2007-05-25 A duel at reboot9 2007-05-14 Taxonomien und Folksonomien - Tagging als neues HCI-Element 2007-05-10 Dueling Interaction Models of Personal-Computing and Web-Computing 2007-03-01 22.März: Weizenbaum. Rebel at Work. /Filmpremiere Hamburg 2007-02-25 Bruce Sterling at UbiComp 2006 /webcast 2006-11-12 FSOSS 2006 /webcasts 2006-11-10 Highway 101 2006-11-09 User Experience Roundtable Hamburg: EuroGEL 2006 2006-11-08 Douglas Adams' Hyperland (BBC 1990) 2006-10-08 Taxonomien und Folksonomien – Tagging als neues HCI-Element 2006-09-13 Usability im Unternehmen 2006-09-13 Doug does HyperScope 2006-08-26 TED Talks and TechTalks 2006-08-21 Kai Krause über seine Freundschaft zu Douglas Adams 2006-07-20 Rebel At Work: Film Portrait on Weizenbaum 2006-07-04 Gabriele Fischer, mp3 2006-06-07 Dick Hardt at ETech 06 2006-06-05 Weinberger: From Control to Conversation 2006-04-16 Eye Tracking at User Experience Roundtable Hamburg 2006-04-14 dropping knowledge 2006-04-09 GEL 2005 2006-03-13 slide photos of reboot7 2006-03-04 Dick Hardt on Identity 2.0 2006-02-28 User Experience Newsletter #13: Versioning 2006-02-03 Ester Dyson on Choice and Happyness 2006-02-02 Requirements-Engineering im Spannungsfeld von Individual- und Produktsoftware 2006-01-15 User Experience Newsletter #12: Intuition Quiz 2005-11-30 User Experience und Requirements-Engineering für Software-Projekte 2005-10-31 Ivan Sutherland on "Research and Fun" 2005-10-18 Ars Electronica / Mensch und Computer 2005 2005-09-14 60 Jahre nach Memex: Über die Unvereinbarkeit von Desktop- und Web-Paradigma 2005-08-31 reboot 7 2005-06-30

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  • Migrating from SQL Trace to Extended Events

    - by extended_events
    In SQL Server codenamed “Denali” we are moving our diagnostic tracing capabilities forward by building a system on top of Extended Events. With every new system you face the specter of migration which is always a bit of a hassle. I’m obviously motivated to see everyone move their diagnostic tracing systems over to the new extended events based system, so I wanted to make sure we lowered the bar for the migration process to help ease your trials. In my initial post on Denali CTP 1 I described a couple tables that we created that will help map the existing SQL Trace Event Classes to the equivalent Extended Events events. In this post I’ll describe the tables in a bit more details, explain the relationship between the SQL Trace objects (Event Class & Column) and Extended Event objects (Events & Actions) and at the end provide some sample code for a managed stored procedure that will take an existing SQL Trace session (eg. a trace that you can see in sys.Traces) and converts it into event session DDL. Can you relate? In some ways, SQL Trace and Extended Events is kind of like the Standard and Metric measuring systems in the United States. If you spend too much time trying to figure out how to convert between the two it will probably make your head hurt. It’s often better to just use the new system without trying to translate between the two. That said, people like to relate new things to the things they’re comfortable with, so, with some trepidation, I will now explain how these two systems are related to each other. First, some terms… SQL Trace is made up of Event Classes and Columns. The Event Class occurs as the result of some activity in the database engine, for example, SQL:Batch Completed fires when a batch has completed executing on the server. Each Event Class can have any number of Columns associated with it and those Columns contain the data that is interesting about the Event Class, such as the duration or database name. In Extended Events we have objects named Events, EventData field and Actions. The Event (some people call this an xEvent but I’ll stick with Event) is equivalent to the Event Class in SQL Trace since it is the thing that occurs as the result of some activity taking place in the server. An  EventData field (from now on I’ll just refer to these as fields) is a piece of information that is highly correlated with the event and is always included as part of the schema of an Event. An Action is something that can be associated with any Event and it will cause some additional “action” to occur when ever the parent Event occurs. Actions can do a number of different things for example, there are Actions that collect additional data and, take memory dumps. When mapping SQL Trace onto Extended Events, Columns are covered by a combination of both fields and Actions. Knowing exactly where a Column is covered by a field and where it is covered by an Action is a bit of an art, so we created the mapping tables to make you an Artist without the years of practice. Let me draw you a map. Event Mapping The table dbo.trace_xe_event_map exists in the master database with the following structure: Column_name Type trace_event_id smallint package_name nvarchar xe_event_name nvarchar By joining this table sys.trace_events using trace_event_id and to the sys.dm_xe_objects using xe_event_name you can get a fair amount of information about how Event Classes are related to Events. The most basic query this lends itself to is to match an Event Class with the corresponding Event. SELECT     t.trace_event_id,     t.name [event_class],     e.package_name,     e.xe_event_name FROM sys.trace_events t INNER JOIN dbo.trace_xe_event_map e     ON t.trace_event_id = e.trace_event_id There are a couple things you’ll notice as you peruse the output of this query: For the most part, the names of Events are fairly close to the original Event Class; eg. SP:CacheMiss == sp_cache_miss, and so on. We’ve mostly stuck to a one to one mapping between Event Classes and Events, but there are a few cases where we have combined when it made sense. For example, Data File Auto Grow, Log File Auto Grow, Data File Auto Shrink & Log File Auto Shrink are now all covered by a single event named database_file_size_change. This just seemed like a “smarter” implementation for this type of event, you can get all the same information from this single event (grow/shrink, Data/Log, Auto/Manual growth) without having multiple different events. You can use Predicates if you want to limit the output to just one of the original Event Class measures. There are some Event Classes that did not make the cut and were not migrated. These fall into two categories; there were a few Event Classes that had been deprecated, or that just did not make sense, so we didn’t migrate them. (You won’t find an Event related to mounting a tape – sorry.) The second class is bigger; with rare exception, we did not migrate any of the Event Classes that were related to Security Auditing using SQL Trace. We introduced the SQL Audit feature in SQL Server 2008 and that will be the compliance and auditing feature going forward. Doing this is a very deliberate decision to support separation of duties for DBAs. There are separate permissions required for SQL Audit and Extended Events tracing so you can assign these tasks to different people if you choose. (If you’re wondering, the permission for Extended Events is ALTER ANY EVENT SESSION, which is covered by CONTROL SERVER.) Action Mapping The table dbo.trace_xe_action_map exists in the master database with the following structure: Column_name Type trace_column_id smallint package_name nvarchar xe_action_name nvarchar You can find more details by joining this to sys.trace_columns on the trace_column_id field. SELECT     c.trace_column_id,     c.name [column_name],     a.package_name,     a.xe_action_name FROM sys.trace_columns c INNER JOIN    dbo.trace_xe_action_map a     ON c.trace_column_id = a.trace_column_id If you examine this list, you’ll notice that there are relatively few Actions that map to SQL Trace Columns given the number of Columns that exist. This is not because we forgot to migrate all the Columns, but because much of the data for individual Event Classes is included as part of the EventData fields of the equivalent Events so there is no need to specify them as Actions. Putting it all together If you’ve spent a bunch of time figuring out the inner workings of SQL Trace, and who hasn’t, then you probably know that the typically set of Columns you find associated with any given Event Class in SQL Profiler is not fix, but is determine by the contents of the table sys.trace_event_bindings. We’ve used this table along with the mapping tables to produce a list of Event + Action combinations that duplicate the SQL Profiler Event Class definitions using the following query, which you can also find in the Books Online topic How To: View the Extended Events Equivalents to SQL Trace Event Classes. USE MASTER; GO SELECT DISTINCT    tb.trace_event_id,    te.name AS 'Event Class',    em.package_name AS 'Package',    em.xe_event_name AS 'XEvent Name',    tb.trace_column_id,    tc.name AS 'SQL Trace Column',    am.xe_action_name as 'Extended Events action' FROM (sys.trace_events te LEFT OUTER JOIN dbo.trace_xe_event_map em    ON te.trace_event_id = em.trace_event_id) LEFT OUTER JOIN sys.trace_event_bindings tb    ON em.trace_event_id = tb.trace_event_id LEFT OUTER JOIN sys.trace_columns tc    ON tb.trace_column_id = tc.trace_column_id LEFT OUTER JOIN dbo.trace_xe_action_map am    ON tc.trace_column_id = am.trace_column_id ORDER BY te.name, tc.name As you might imagine, it’s also possible to map an existing trace definition to the equivalent event session by judicious use of fn_trace_geteventinfo joined with the two mapping tables. This query extracts the list of Events and Actions equivalent to the trace with ID = 1, which is most likely the Default Trace. You can find this query, along with a set of other queries and steps required to migrate your existing traces over to Extended Events in the Books Online topic How to: Convert an Existing SQL Trace Script to an Extended Events Session. USE MASTER; GO DECLARE @trace_id int SET @trace_id = 1 SELECT DISTINCT el.eventid, em.package_name, em.xe_event_name AS 'event'    , el.columnid, ec.xe_action_name AS 'action' FROM (sys.fn_trace_geteventinfo(@trace_id) AS el    LEFT OUTER JOIN dbo.trace_xe_event_map AS em       ON el.eventid = em.trace_event_id) LEFT OUTER JOIN dbo.trace_xe_action_map AS ec    ON el.columnid = ec.trace_column_id WHERE em.xe_event_name IS NOT NULL AND ec.xe_action_name IS NOT NULL You’ll notice in the output that the list doesn’t include any of the security audit Event Classes, as I wrote earlier, those were not migrated. But wait…there’s more! If this were an infomercial there’d by some obnoxious guy next to me blogging “Well Mike…that’s pretty neat, but I’m sure you can do more. Can’t you make it even easier to migrate from SQL Trace?”  Needless to say, I’d blog back, in an overly excited way, “You bet I can' obnoxious blogger side-kick!” What I’ve got for you here is a Extended Events Team Blog only special – this tool will not be sold in any store; it’s a special offer for those of you reading the blog. I’ve wrapped all the logic of pulling the configuration information out of an existing trace and and building the Extended Events DDL statement into a handy, dandy CLR stored procedure. Once you load the assembly and register the procedure you just supply the trace id (from sys.traces) and provide a name for the event session. Run the procedure and out pops the DDL required to create an equivalent session. Any aspects of the trace that could not be duplicated are included in comments within the DDL output. This procedure does not actually create the event session – you need to copy the DDL out of the message tab and put it into a new query window to do that. It also requires an existing trace (but it doesn’t have to be running) to evaluate; there is no functionality to parse t-sql scripts. I’m not going to spend a bunch of time explaining the code here – the code is pretty well commented and hopefully easy to follow. If not, you can always post comments or hit the feedback button to send us some mail. Sample code: TraceToExtendedEventDDL   Installing the procedure Just in case you’re not familiar with installing CLR procedures…once you’ve compile the assembly you can load it using a script like this: -- Context to master USE master GO -- Create the assembly from a shared location. CREATE ASSEMBLY TraceToXESessionConverter FROM 'C:\Temp\TraceToXEventSessionConverter.dll' WITH PERMISSION_SET = SAFE GO -- Create a stored procedure from the assembly. CREATE PROCEDURE CreateEventSessionFromTrace @trace_id int, @session_name nvarchar(max) AS EXTERNAL NAME TraceToXESessionConverter.StoredProcedures.ConvertTraceToExtendedEvent GO Enjoy! -Mike

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  • Listing common SQL Code Smells.

    - by Phil Factor
    Once you’ve done a number of SQL Code-reviews, you’ll know those signs in the code that all might not be well. These ’Code Smells’ are coding styles that don’t directly cause a bug, but are indicators that all is not well with the code. . Kent Beck and Massimo Arnoldi seem to have coined the phrase in the "OnceAndOnlyOnce" page of www.C2.com, where Kent also said that code "wants to be simple". Bad Smells in Code was an essay by Kent Beck and Martin Fowler, published as Chapter 3 of the book ‘Refactoring: Improving the Design of Existing Code’ (ISBN 978-0201485677) Although there are generic code-smells, SQL has its own particular coding habits that will alert the programmer to the need to re-factor what has been written. See Exploring Smelly Code   and Code Deodorants for Code Smells by Nick Harrison for a grounding in Code Smells in C# I’ve always been tempted by the idea of automating a preliminary code-review for SQL. It would be so useful to trawl through code and pick up the various problems, much like the classic ‘Lint’ did for C, and how the Code Metrics plug-in for .NET Reflector by Jonathan 'Peli' de Halleux is used for finding Code Smells in .NET code. The problem is that few of the standard procedural code smells are relevant to SQL, and we need an agreed list of code smells. Merrilll Aldrich made a grand start last year in his blog Top 10 T-SQL Code Smells.However, I'd like to make a start by discovering if there is a general opinion amongst Database developers what the most important SQL Smells are. One can be a bit defensive about code smells. I will cheerfully write very long stored procedures, even though they are frowned on. I’ll use dynamic SQL occasionally. You can only use them as an aid for your own judgment and it is fine to ‘sign them off’ as being appropriate in particular circumstances. Also, whole classes of ‘code smells’ may be irrelevant for a particular database. The use of proprietary SQL, for example, is only a ‘code smell’ if there is a chance that the database will have to be ported to another RDBMS. The use of dynamic SQL is a risk only with certain security models. As the saying goes,  a CodeSmell is a hint of possible bad practice to a pragmatist, but a sure sign of bad practice to a purist. Plamen Ratchev’s wonderful article Ten Common SQL Programming Mistakes lists some of these ‘code smells’ along with out-and-out mistakes, but there are more. The use of nested transactions, for example, isn’t entirely incorrect, even though the database engine ignores all but the outermost: but it does flag up the possibility that the programmer thinks that nested transactions are supported. If anything requires some sort of general agreement, the definition of code smells is one. I’m therefore going to make this Blog ‘dynamic, in that, if anyone twitters a suggestion with a #SQLCodeSmells tag (or sends me a twitter) I’ll update the list here. If you add a comment to the blog with a suggestion of what should be added or removed, I’ll do my best to oblige. In other words, I’ll try to keep this blog up to date. The name against each 'smell' is the name of the person who Twittered me, commented about or who has written about the 'smell'. it does not imply that they were the first ever to think of the smell! Use of deprecated syntax such as *= (Dave Howard) Denormalisation that requires the shredding of the contents of columns. (Merrill Aldrich) Contrived interfaces Use of deprecated datatypes such as TEXT/NTEXT (Dave Howard) Datatype mis-matches in predicates that rely on implicit conversion.(Plamen Ratchev) Using Correlated subqueries instead of a join   (Dave_Levy/ Plamen Ratchev) The use of Hints in queries, especially NOLOCK (Dave Howard /Mike Reigler) Few or No comments. Use of functions in a WHERE clause. (Anil Das) Overuse of scalar UDFs (Dave Howard, Plamen Ratchev) Excessive ‘overloading’ of routines. The use of Exec xp_cmdShell (Merrill Aldrich) Excessive use of brackets. (Dave Levy) Lack of the use of a semicolon to terminate statements Use of non-SARGable functions on indexed columns in predicates (Plamen Ratchev) Duplicated code, or strikingly similar code. Misuse of SELECT * (Plamen Ratchev) Overuse of Cursors (Everyone. Special mention to Dave Levy & Adrian Hills) Overuse of CLR routines when not necessary (Sam Stange) Same column name in different tables with different datatypes. (Ian Stirk) Use of ‘broken’ functions such as ‘ISNUMERIC’ without additional checks. Excessive use of the WHILE loop (Merrill Aldrich) INSERT ... EXEC (Merrill Aldrich) The use of stored procedures where a view is sufficient (Merrill Aldrich) Not using two-part object names (Merrill Aldrich) Using INSERT INTO without specifying the columns and their order (Merrill Aldrich) Full outer joins even when they are not needed. (Plamen Ratchev) Huge stored procedures (hundreds/thousands of lines). Stored procedures that can produce different columns, or order of columns in their results, depending on the inputs. Code that is never used. Complex and nested conditionals WHILE (not done) loops without an error exit. Variable name same as the Datatype Vague identifiers. Storing complex data  or list in a character map, bitmap or XML field User procedures with sp_ prefix (Aaron Bertrand)Views that reference views that reference views that reference views (Aaron Bertrand) Inappropriate use of sql_variant (Neil Hambly) Errors with identity scope using SCOPE_IDENTITY @@IDENTITY or IDENT_CURRENT (Neil Hambly, Aaron Bertrand) Schemas that involve multiple dated copies of the same table instead of partitions (Matt Whitfield-Atlantis UK) Scalar UDFs that do data lookups (poor man's join) (Matt Whitfield-Atlantis UK) Code that allows SQL Injection (Mladen Prajdic) Tables without clustered indexes (Matt Whitfield-Atlantis UK) Use of "SELECT DISTINCT" to mask a join problem (Nick Harrison) Multiple stored procedures with nearly identical implementation. (Nick Harrison) Excessive column aliasing may point to a problem or it could be a mapping implementation. (Nick Harrison) Joining "too many" tables in a query. (Nick Harrison) Stored procedure returning more than one record set. (Nick Harrison) A NOT LIKE condition (Nick Harrison) excessive "OR" conditions. (Nick Harrison) User procedures with sp_ prefix (Aaron Bertrand) Views that reference views that reference views that reference views (Aaron Bertrand) sp_OACreate or anything related to it (Bill Fellows) Prefixing names with tbl_, vw_, fn_, and usp_ ('tibbling') (Jeremiah Peschka) Aliases that go a,b,c,d,e... (Dave Levy/Diane McNurlan) Overweight Queries (e.g. 4 inner joins, 8 left joins, 4 derived tables, 10 subqueries, 8 clustered GUIDs, 2 UDFs, 6 case statements = 1 query) (Robert L Davis) Order by 3,2 (Dave Levy) MultiStatement Table functions which are then filtered 'Sel * from Udf() where Udf.Col = Something' (Dave Ballantyne) running a SQL 2008 system in SQL 2000 compatibility mode(John Stafford)

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  • Understanding LINQ to SQL (11) Performance

    - by Dixin
    [LINQ via C# series] LINQ to SQL has a lot of great features like strong typing query compilation deferred execution declarative paradigm etc., which are very productive. Of course, these cannot be free, and one price is the performance. O/R mapping overhead Because LINQ to SQL is based on O/R mapping, one obvious overhead is, data changing usually requires data retrieving:private static void UpdateProductUnitPrice(int id, decimal unitPrice) { using (NorthwindDataContext database = new NorthwindDataContext()) { Product product = database.Products.Single(item => item.ProductID == id); // SELECT... product.UnitPrice = unitPrice; // UPDATE... database.SubmitChanges(); } } Before updating an entity, that entity has to be retrieved by an extra SELECT query. This is slower than direct data update via ADO.NET:private static void UpdateProductUnitPrice(int id, decimal unitPrice) { using (SqlConnection connection = new SqlConnection( "Data Source=localhost;Initial Catalog=Northwind;Integrated Security=True")) using (SqlCommand command = new SqlCommand( @"UPDATE [dbo].[Products] SET [UnitPrice] = @UnitPrice WHERE [ProductID] = @ProductID", connection)) { command.Parameters.Add("@ProductID", SqlDbType.Int).Value = id; command.Parameters.Add("@UnitPrice", SqlDbType.Money).Value = unitPrice; connection.Open(); command.Transaction = connection.BeginTransaction(); command.ExecuteNonQuery(); // UPDATE... command.Transaction.Commit(); } } The above imperative code specifies the “how to do” details with better performance. For the same reason, some articles from Internet insist that, when updating data via LINQ to SQL, the above declarative code should be replaced by:private static void UpdateProductUnitPrice(int id, decimal unitPrice) { using (NorthwindDataContext database = new NorthwindDataContext()) { database.ExecuteCommand( "UPDATE [dbo].[Products] SET [UnitPrice] = {0} WHERE [ProductID] = {1}", id, unitPrice); } } Or just create a stored procedure:CREATE PROCEDURE [dbo].[UpdateProductUnitPrice] ( @ProductID INT, @UnitPrice MONEY ) AS BEGIN BEGIN TRANSACTION UPDATE [dbo].[Products] SET [UnitPrice] = @UnitPrice WHERE [ProductID] = @ProductID COMMIT TRANSACTION END and map it as a method of NorthwindDataContext (explained in this post):private static void UpdateProductUnitPrice(int id, decimal unitPrice) { using (NorthwindDataContext database = new NorthwindDataContext()) { database.UpdateProductUnitPrice(id, unitPrice); } } As a normal trade off for O/R mapping, a decision has to be made between performance overhead and programming productivity according to the case. In a developer’s perspective, if O/R mapping is chosen, I consistently choose the declarative LINQ code, unless this kind of overhead is unacceptable. Data retrieving overhead After talking about the O/R mapping specific issue. Now look into the LINQ to SQL specific issues, for example, performance in the data retrieving process. The previous post has explained that the SQL translating and executing is complex. Actually, the LINQ to SQL pipeline is similar to the compiler pipeline. It consists of about 15 steps to translate an C# expression tree to SQL statement, which can be categorized as: Convert: Invoke SqlProvider.BuildQuery() to convert the tree of Expression nodes into a tree of SqlNode nodes; Bind: Used visitor pattern to figure out the meanings of names according to the mapping info, like a property for a column, etc.; Flatten: Figure out the hierarchy of the query; Rewrite: for SQL Server 2000, if needed Reduce: Remove the unnecessary information from the tree. Parameterize Format: Generate the SQL statement string; Parameterize: Figure out the parameters, for example, a reference to a local variable should be a parameter in SQL; Materialize: Executes the reader and convert the result back into typed objects. So for each data retrieving, even for data retrieving which looks simple: private static Product[] RetrieveProducts(int productId) { using (NorthwindDataContext database = new NorthwindDataContext()) { return database.Products.Where(product => product.ProductID == productId) .ToArray(); } } LINQ to SQL goes through above steps to translate and execute the query. Fortunately, there is a built-in way to cache the translated query. Compiled query When such a LINQ to SQL query is executed repeatedly, The CompiledQuery can be used to translate query for one time, and execute for multiple times:internal static class CompiledQueries { private static readonly Func<NorthwindDataContext, int, Product[]> _retrieveProducts = CompiledQuery.Compile((NorthwindDataContext database, int productId) => database.Products.Where(product => product.ProductID == productId).ToArray()); internal static Product[] RetrieveProducts( this NorthwindDataContext database, int productId) { return _retrieveProducts(database, productId); } } The new version of RetrieveProducts() gets better performance, because only when _retrieveProducts is first time invoked, it internally invokes SqlProvider.Compile() to translate the query expression. And it also uses lock to make sure translating once in multi-threading scenarios. Static SQL / stored procedures without translating Another way to avoid the translating overhead is to use static SQL or stored procedures, just as the above examples. Because this is a functional programming series, this article not dive into. For the details, Scott Guthrie already has some excellent articles: LINQ to SQL (Part 6: Retrieving Data Using Stored Procedures) LINQ to SQL (Part 7: Updating our Database using Stored Procedures) LINQ to SQL (Part 8: Executing Custom SQL Expressions) Data changing overhead By looking into the data updating process, it also needs a lot of work: Begins transaction Processes the changes (ChangeProcessor) Walks through the objects to identify the changes Determines the order of the changes Executes the changings LINQ queries may be needed to execute the changings, like the first example in this article, an object needs to be retrieved before changed, then the above whole process of data retrieving will be went through If there is user customization, it will be executed, for example, a table’s INSERT / UPDATE / DELETE can be customized in the O/R designer It is important to keep these overhead in mind. Bulk deleting / updating Another thing to be aware is the bulk deleting:private static void DeleteProducts(int categoryId) { using (NorthwindDataContext database = new NorthwindDataContext()) { database.Products.DeleteAllOnSubmit( database.Products.Where(product => product.CategoryID == categoryId)); database.SubmitChanges(); } } The expected SQL should be like:BEGIN TRANSACTION exec sp_executesql N'DELETE FROM [dbo].[Products] AS [t0] WHERE [t0].[CategoryID] = @p0',N'@p0 int',@p0=9 COMMIT TRANSACTION Hoverer, as fore mentioned, the actual SQL is to retrieving the entities, and then delete them one by one:-- Retrieves the entities to be deleted: exec sp_executesql N'SELECT [t0].[ProductID], [t0].[ProductName], [t0].[SupplierID], [t0].[CategoryID], [t0].[QuantityPerUnit], [t0].[UnitPrice], [t0].[UnitsInStock], [t0].[UnitsOnOrder], [t0].[ReorderLevel], [t0].[Discontinued] FROM [dbo].[Products] AS [t0] WHERE [t0].[CategoryID] = @p0',N'@p0 int',@p0=9 -- Deletes the retrieved entities one by one: BEGIN TRANSACTION exec sp_executesql N'DELETE FROM [dbo].[Products] WHERE ([ProductID] = @p0) AND ([ProductName] = @p1) AND ([SupplierID] IS NULL) AND ([CategoryID] = @p2) AND ([QuantityPerUnit] IS NULL) AND ([UnitPrice] = @p3) AND ([UnitsInStock] = @p4) AND ([UnitsOnOrder] = @p5) AND ([ReorderLevel] = @p6) AND (NOT ([Discontinued] = 1))',N'@p0 int,@p1 nvarchar(4000),@p2 int,@p3 money,@p4 smallint,@p5 smallint,@p6 smallint',@p0=78,@p1=N'Optimus Prime',@p2=9,@p3=$0.0000,@p4=0,@p5=0,@p6=0 exec sp_executesql N'DELETE FROM [dbo].[Products] WHERE ([ProductID] = @p0) AND ([ProductName] = @p1) AND ([SupplierID] IS NULL) AND ([CategoryID] = @p2) AND ([QuantityPerUnit] IS NULL) AND ([UnitPrice] = @p3) AND ([UnitsInStock] = @p4) AND ([UnitsOnOrder] = @p5) AND ([ReorderLevel] = @p6) AND (NOT ([Discontinued] = 1))',N'@p0 int,@p1 nvarchar(4000),@p2 int,@p3 money,@p4 smallint,@p5 smallint,@p6 smallint',@p0=79,@p1=N'Bumble Bee',@p2=9,@p3=$0.0000,@p4=0,@p5=0,@p6=0 -- ... COMMIT TRANSACTION And the same to the bulk updating. This is really not effective and need to be aware. Here is already some solutions from the Internet, like this one. The idea is wrap the above SELECT statement into a INNER JOIN:exec sp_executesql N'DELETE [dbo].[Products] FROM [dbo].[Products] AS [j0] INNER JOIN ( SELECT [t0].[ProductID], [t0].[ProductName], [t0].[SupplierID], [t0].[CategoryID], [t0].[QuantityPerUnit], [t0].[UnitPrice], [t0].[UnitsInStock], [t0].[UnitsOnOrder], [t0].[ReorderLevel], [t0].[Discontinued] FROM [dbo].[Products] AS [t0] WHERE [t0].[CategoryID] = @p0) AS [j1] ON ([j0].[ProductID] = [j1].[[Products])', -- The Primary Key N'@p0 int',@p0=9 Query plan overhead The last thing is about the SQL Server query plan. Before .NET 4.0, LINQ to SQL has an issue (not sure if it is a bug). LINQ to SQL internally uses ADO.NET, but it does not set the SqlParameter.Size for a variable-length argument, like argument of NVARCHAR type, etc. So for two queries with the same SQL but different argument length:using (NorthwindDataContext database = new NorthwindDataContext()) { database.Products.Where(product => product.ProductName == "A") .Select(product => product.ProductID).ToArray(); // The same SQL and argument type, different argument length. database.Products.Where(product => product.ProductName == "AA") .Select(product => product.ProductID).ToArray(); } Pay attention to the argument length in the translated SQL:exec sp_executesql N'SELECT [t0].[ProductID] FROM [dbo].[Products] AS [t0] WHERE [t0].[ProductName] = @p0',N'@p0 nvarchar(1)',@p0=N'A' exec sp_executesql N'SELECT [t0].[ProductID] FROM [dbo].[Products] AS [t0] WHERE [t0].[ProductName] = @p0',N'@p0 nvarchar(2)',@p0=N'AA' Here is the overhead: The first query’s query plan cache is not reused by the second one:SELECT sys.syscacheobjects.cacheobjtype, sys.dm_exec_cached_plans.usecounts, sys.syscacheobjects.[sql] FROM sys.syscacheobjects INNER JOIN sys.dm_exec_cached_plans ON sys.syscacheobjects.bucketid = sys.dm_exec_cached_plans.bucketid; They actually use different query plans. Again, pay attention to the argument length in the [sql] column (@p0 nvarchar(2) / @p0 nvarchar(1)). Fortunately, in .NET 4.0 this is fixed:internal static class SqlTypeSystem { private abstract class ProviderBase : TypeSystemProvider { protected int? GetLargestDeclarableSize(SqlType declaredType) { SqlDbType sqlDbType = declaredType.SqlDbType; if (sqlDbType <= SqlDbType.Image) { switch (sqlDbType) { case SqlDbType.Binary: case SqlDbType.Image: return 8000; } return null; } if (sqlDbType == SqlDbType.NVarChar) { return 4000; // Max length for NVARCHAR. } if (sqlDbType != SqlDbType.VarChar) { return null; } return 8000; } } } In this above example, the translated SQL becomes:exec sp_executesql N'SELECT [t0].[ProductID] FROM [dbo].[Products] AS [t0] WHERE [t0].[ProductName] = @p0',N'@p0 nvarchar(4000)',@p0=N'A' exec sp_executesql N'SELECT [t0].[ProductID] FROM [dbo].[Products] AS [t0] WHERE [t0].[ProductName] = @p0',N'@p0 nvarchar(4000)',@p0=N'AA' So that they reuses the same query plan cache: Now the [usecounts] column is 2.

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  • CodePlex Daily Summary for Wednesday, April 07, 2010

    CodePlex Daily Summary for Wednesday, April 07, 2010New ProjectsAStar.net: AStar.net is a project for compute the A* path finding algorithm. It expose classes and interface that can be used for all purpose with multi-threa...Auto Complete for MOSS 2007: Auto Complete for MOSS 2007 (WSS 3.0) makes it easier for all user to fill list of nessesary string in the field. AutoPoco: AutoPoco is a framework with the purpose of fluently building test data from Plain Old CLR ObjectsBlueProject: BlueProjectColor Picker for MOSS 2007: Color picker for MOSS 2007 (WSS 3.0) makes it easier for some user to choose color in the field. ComBrowser2: ComBrowser2DCommunication: Communication Components and Software By Delphi On Windows.DirST: Allows one to replicate a DIRectory STructure without copying files. Written in C#.Discussion column for MOSS 2007: Discussion column for MOSS 2007/ (WSS 3.0) is a field column for different type lists such as Custom List, Document Library, Issue Tracking, not on...Effect Custom Tool for Visual Studio: Effect Custom Tool for Visual Studio is a visual studio 2008 extension that helps you generate c# classes from effect (*.fx) files for use with Xna...Energon: Energon is a framework to create and run software energy consumption tests. Requires a couple of PC with a TCP connections, a phidgets ammeter and ...Fiansa: Proyecto FiansaFirstSpark: FirstSpark is a sample Spark View Engine projectISOM: Internetowy System Obsługi Magisterek La Carta Mas Alta: La Carta Mas Alta is an open source card game totally written in PHP and HTML. This cross-platform and cross-browser game was tested under BeOS, Li...Near forums - ASP.NET MVC forum engine: Open source SEO friendly ASP.NET MVC forum engine. Features: Navigation in forums, topics and tags; login with Facebook Connect and Single sign-on;...PEC: Still editingPowershell Zip Export/Import Cmdlet Module: Powershellzip is a powershell module with a set of Cmdlets for zip file export, import and processingProgress bar for MOSS 2007: Progress bar for MOSS 2007 (WSS 3.0) makes it easier for some user to display progress in the field in percent (0-100%). SharePoint Accelerators: This project delivers a number of SharePoint accelerators that make your every-day SharePoint life easier.Shweet: SharePoint 2010 Team Messaging built with Pex: Shweet is a simple SharePoint Foundation 2010 application that allows teams to do messaging and subscriptions in the style similar to twitter. De...SilverlightEncoder: Video and audio encoder for Silverlight 4 Out-of-BrowserStarMath: Static Array Math Library: While there are already countless math libraries for performing common matrix/array functions, StarMath is distinguished by its simplicity and flex...StringToNumber: StringToNumber is a .NET library for parsing numbers in their written form into their numeric equivalent. It's developed in C#. It was created to...SubstitutionITIS: <project name="Substitution" language="c-sharp" to="myschool" whatdo="manageSubstitutionTeachers" />TamTam.SharePoint2010.LinkedIn: SP2010 and LinkedIn working togetherThink And Explore: Think my own wayusenet-o-matic: small mobile optimised webscript to search various NZB sources like newzbin and NZBmatrix and send donwloads to your SABnzbd server. Valid HTML5 Templates for VisualStudio: This project will host valid HTML templates for Visual Studio. The primary focus however will be on the newer standard HTML5 and Visual Studio 2010XSS Attack: This tool will simulate an attack on your database and update up to 5000 rows in every table and replace your strings in your database with random ...Yazgelistir Beta: Yazgelistir'in beta sitesiNew ReleasesAStar.net: AStar.net 1.0 downloads: AStar.net 1.0 downloadsAvalaible downloads:Astar.net dll - Runtime library ready to be included in a project. Astar.net source project - The Visu...AutoPoco: 0.1 - Initial Release: This is the initial release, changes pending, lots left to do, check it out though!Bag of Tricks: Bag of Tricks - WPF - Libraries and Sample App: Here is a drop of the Bag of Tricks. It targets the 3.5 Client Profile.Boxee Launcher: Boxee Launcher 1.0.1.4: Taskbar will now be hiddenDesignit Umbraco Newsletter Package: ver 1.0.0 beta1: Please remember this is a beta version. If you have any problems or issues, don't hesitate to use the issue tracker and/or forum on this site. Ple...Effect Custom Tool for Visual Studio: Effect Custom Tool for Visual Studio 2008: Effect Custom Tool for Visual Studio is a visual studio 2008 extension that helps you generate c# classes from effect (*.fx) files for use with Xna...Fluent Ribbon Control Suite: Fluent Ribbon Control Suite 1.1: Fluent Ribbon Control Suite 1.1 Includes: Fluent.dll (with .pdb and .xml) Showcase Application Samples Foundation (Tabs, Groups, Contextual Tab...GsGrid: gsgrid 1.6.5: gsgrid 1.6.5Home Access Plus+: v3.2.5.2: v3.2.5.1 Release Change Log: Attempt to fix Domain Admin Lookup box File Changes: ~/bin/CHS Extranet.dll ~/bin/CHS Extranet.pdbHulu Launcher: Hulu Launcher 1.0.1.4: Will now hide taskbar.Icarus Scene Engine: Icarus Professional 2 Alpha 2a v 1.10.404.936: Alpha release 2 of Icarus Professional. This release includes: IcarusX: The ActiveX-based browser control for rendering IPX projects online. Icaru...kdar: KDAR 0.0.19: KDAR - Kernel Debugger Anti Rootkit - thread start notifier routine check added - registry callback сheck added - NDIS6 checks added - some bug i...Mobile Device Browser File: Mobile Device Browser File (2010-04-07): The Mobile Browser Definition File contains definitions for individual mobile devices and browsers. At run time, ASP.NET uses the information in th...MvcContrib: a Codeplex Foundation project: Portable Area Template: Use this Visual Studio 2008 Project template to create new portable areas. Drop this file in your Documents\Visual Studio 2008\Templates\ProjectTe...Office Apps: 0.8.8: new ui for Document.Viewer bug fix'sProtoforma | Tactica Adversa: Skilful 0.3.4.477: RC1ROOT Builder: ROOT Builder 1.41: Simplifies building of ROOT on the windows platform by generating a Visual Studio C make project that will build and run (and debug ROOT). See Inst...SharePoint Accelerators: Search AutoComplete for SharePoint Lists: Search AutoComplete for SharePoint List is a Web Part that allows you to search contents of a SharePoint. Search is interactive and offers you resu...SharePoint Labs: SPLab4002A-FRA-Level100: SPLab4002A-FRA-Level100 This SharePoint Lab will teach you the 2nd best practice you should apply when writing code with the SharePoint API. Lab La...SharePoint Labs: SPLab4003A-FRA-Level100: SPLab4003A-FRA-Level100 This SharePoint Lab will teach you the 3rd best practice you should apply when writing code with the SharePoint API. Lab La...SQL Compact data and schema script utility: Version 3.0: This release contains 4 downloadable files: - SSMS 2008 scripting add-in - SQL Server 2005/2008 command line utility to generate a script with sch...StarMath: Static Array Math Library: StarMath Source Files: The source file package includes the main library StarMath.dll (and it's source files), and an example exe project to invoke commands from StarMath.stefvanhooijdonk.com: Powershell Solution Install Script: Powershell Example script to install a SP2010 Solution, which actually waits for the Retraction and Deployment jobs.TamTam.SharePoint2010.LinkedIn: 0.0.0.1: How to use/install Small instruction to use this code/solution step 1 Add the Farm Solution to your SP2010 installation step 2 Go to the MySite H...usenet-o-matic: V 0.2: supports Newzbin and NZBmatrix as index sources and SABnzbd as download serverVCC: Latest build, v2.1.30406.0: Automatic drop of latest buildVisual Studio DSite: E-Z Image To PDF Converter Beta: This simple little program can convert all common image formats into pdfs and can even encrypt the pdf with an encrpytion key.Web and Load Test Plugins for Visual Studio Team Test: Release 2.0: Release 2.0 is targeted at VS 2010. VS 2010 exposes major new extensibility points: 1) Recorder plugins enable you to do custom correlations and o...Wicked Compression ASP.NET HTTP Module: WickedCompressionModule 4.0 Alpha: New Features, New Enhancements! - Visual Studio 2010 Projects! - Support for ASP.NET 2.0, 3.5, and 4.0 - AJAX Support for ASP.NET 3.5 and 4.0 - Bu...x5s - test encodings and character transformations to find XSS hotspots: x5s v1.0.0 beta: This is the v1.0 beta release of x5s. All feedback welcome in planning for the next release. 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Open Source online shop e-commerce solution.RawrFacebook Developer ToolkitShweet: SharePoint 2010 Team Messaging built with Pexpatterns & practices – Enterprise LibraryNcqrs Framework - The CQRS framework for .NETjQuery Library for SharePoint Web ServicesIonics Isapi Rewrite FilterAcadsys

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  • SQL SERVER – Weekly Series – Memory Lane – #033

    - by Pinal Dave
    Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Spatial Database Definition and Research Documents Here is the definition from Wikipedia about spatial database : A spatial database is a database that is optimized to store and query data related to objects in space, including points, lines and polygons. While typical databases can understand various numeric and character types of data, additional functionality needs to be added for databases to process spatial data types. Select Only Date Part From DateTime – Best Practice A very common question which I receive is how to only get Date or Time part from datetime value. In this blog post I explain the same in very simple words. T-SQL Paging Query Technique Comparison (OVER and ROW_NUMBER()) – CTE vs. Derived Table I have received few emails and comments about my post SQL SERVER – T-SQL Paging Query Technique Comparison – SQL 2000 vs SQL 2005. The main question was is this can be done using CTE? Absolutely! What about Performance? It is identical! Please refer above mentioned article for the history of paging. SQL SERVER – Cannot resolve collation conflict for equal to operation One of the very first error I ever encountered in my career was to resolve this conflict. I have blogged about it and I have realized that many others like me who are facing this error. LEN and DATALENGTH of NULL Simple Example Here is the question for you what is the LEN of NULL value? Well it is very easy – just read the blog. Recovery Models and Selection Very simple and easy explanation of the Database Backup Recovery Model and how to select the best option for you. Explanation SQL SERVER Hash Join Hash join gives best performance when two more join tables are joined and at-least one of them have no index or is not sorted. It is also expected that smaller of the either of table can be read in memory completely (though not necessary). Easy Sequence of SELECT FROM JOIN WHERE GROUP BY HAVING ORDER BY SELECT yourcolumns FROM tablenames JOIN tablenames WHERE condition GROUP BY yourcolumns HAVING aggregatecolumn condition ORDER BY yourcolumns NorthWind Database or AdventureWorks Database – Samples Databases In this blog post we learn how to install Northwind database. I also shared the source where one can download this database as that is used in many examples on MSDN help files. sp_HelpText for sp_HelpText – Puzzle A simple quick puzzle – do you know the answer of it? If not, go ahead and read the blog. 2008 SQL SERVER – 2008 – Step By Step Installation Guide With Images When SQL Server 2008 was newly introduced lots of people had no clue how to install SQL Server 2008 and the amount of the question which I used to receive were so much. I wrote this blog post with the spirit that this will help all the newbies to install SQL Server 2008 with the help of images. Still today this blog post has been bible for all of the people who are confused with SQL Server installation. Inline Variable Assignment I loved this feature. I have always wanted this feature to be present in SQL Server. The last time when I met developers from Microsoft SQL Server, I had talked about this feature. I think this feature saves some time but make the code more readable. Introduction to Policy Management – Enforcing Rules on SQL Server If our company policy is to create all the Stored Procedure with prefix ‘usp’ that developers should be just prevented to create Stored Procedure with any other prefix. Let us see a small tutorial how to create conditions and policy which will prevent any future SP to be created with any other prefix. 2009 Performance Counters from System Views – By Kevin Mckenna Many of you are not aware of this fact that access to performance information is readily available in SQL Server and that too without querying performance counters using a custom application or via perfmon. Till now, this fact has remained undisclosed but through this post I would like to explain you can easily access SQL Server performance counter information. Without putting much effort you will come across the system viewsys.dm_os_performance_counters. As the name suggests, this provides you easy access to the SQL Server performance counter information that is passed on to perfmon, but you can get at it via tsql. Customize Toolbar – Remove Debug Button from Toolbar I was fond of SQL Server Debugger feature in SQL Server 2000. To my utter disappointment, this feature was withdrawn from SQL Server 2005. The button of the debugger is similar to a play button and is used to run debugging commands of Visual Studio. Because of this reason, it gets very much infuriating for developers when they are developing on both – Visual Studio and SSMS. Let us now see how we can remove debugging button from SQL Server Management Studio. Effect of Normalization on Index and Performance A very interesting conversation which started from twitter. If you want to read one link this is the link I encourage you to read it. SSMS Feature – Multi-server Queries Using SQL Server Management Studio (SSMS) DBAs can now query multiple servers from one window. It is quite common for DBAs with large amount of servers to maintain and gather information from multiple SQL Servers and create report. This feature is a blessing for the DBAs, as they can now assemble all the information instantaneously without going anywhere. Query Optimizer Hint ROBUST PLAN – Question to You “ROBUST PLAN” is a kind of query hint which works quite differently than other hints. It does not improve join or force any indexes to use; it just makes sure that a query does not crash due to over the limit size of row. Let me elaborate upon it in the blog post. 2010 Do you really know the difference between various date functions available in SQL Server 2012? Here is a three part story where we explored the same with examples: Fastest Way to Restore the Database Difference Between DATETIME and DATETIME2 Difference Between DATETIME and DATETIME2 – WITH GETDATE Shrinking NDF and MDF Files – Readers’ Opinion Shrinking Database always creates performance degradation and increases fragmentation in the database. I suggest that you keep that in mind before you start reading the following comment. If you are going to say Shrinking Database is bad and evil, here I am saying it first and loud. Now, the comment of Imran is written while keeping in mind only the process showing how the Shrinking Database Operation works. Imran has already explained his understanding and requests further explanation. I have removed the Best Practices section from Imran’s comments, as there are a few corrections. 2011 Solution – Puzzle – SELECT * vs SELECT COUNT(*) This is very interesting question and I am very confident that not every one knows the answer to this question. Let me ask you again – Which will be faster SELECT* or SELECT COUNT (*) or do you think this is apples and oranges comparison. 2012 Service Broker and CAP_CPU_PERCENT – Limiting SQL Server Instances to CPU Usage In SQL Server 2012 there are a few enhancements with regards to SQL Server Resource Governor. One of the enhancement is how the resources are allocated. Let me explain you with examples. Let us understand the entire discussion with the help of three different examples. Finding Size of a Columnstore Index Using DMVs One of the very common question I often see is need of the list of columnstore index along with their size and corresponding table name. I quickly re-wrote a script using DMVs sys.indexes and sys.dm_db_partition_stats. This script gives the size of the columnstore index on disk only. I am sure there will be advanced script to retrieve details related to components associated with the columnstore index. However, I believe following script is sufficient to start getting an idea of columnstore index size. Developer Training Resources and Summary Roundup Developer Training - Importance and Significance - Part 1 In this part we discussed the importance of training in the real world. The most important and valuable resource any company is its employee. Employees who have been well-trained will be better at their jobs and produce a better product.  An employee who is well trained obviously knows more about their job and all the technical aspects. I have a very high opinion about training employees and it is the most important task. Developer Training – Employee Morals and Ethics – Part 2 In this part we discussed the most crucial components of training. Often employees are expecting the company to pay for their training and the company expresses no interest in training the employee. Quite often training expenses are the real issue for both the employee and employer. Developer Training – Difficult Questions and Alternative Perspective - Part 3 This part was the most difficult to write as I tried to address a few difficult questions and answers. Training is such a sensitive issue that many developers when not receiving chance for training think about leaving the organization. Developer Training – Various Options for Developer Training – Part 4 In this part I tried to explore a few methods and options for training. The generic feedback I received on this blog post was short and I should have explored each of the subject of the training in details. I believe there are two big buckets of training 1) Instructor Lead Training and 2) Self Lead Training. Developer Training – A Conclusive Summary- Part 5 There is no better motivation than a personal desire to learn new technology. Honestly there is nothing more personal learning. That “change is the only constant” and “adapt & overcome” are the essential lessons of life. One cannot stop the learning and resist the change. In the IT industry “ego of knowing all” and the “resistance to change” are the most challenging issues. A Quick Look at Logging and Ideas around Logging Question: What is the first thing comes to your mind when you hear the word “Logging”? Strange enough I got a different answer every single time. Let me just list what answer I got from my friends. Let us go over them one by one. Beginning Performance Tuning with SQL Server Execution Plan Solution of Puzzle – Swap Value of Column Without Case Statement Earlier this week I asked a question where I asked how to Swap Values of the column without using CASE Statement. Read here: SQL SERVER – A Puzzle – Swap Value of Column Without Case Statement. I have proposed 3 different solutions in the blog posts itself. I had requested the help of the community to come up with alternate solutions and honestly I am stunned and amazed by the qualified entries. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • So…is it a Seek or a Scan?

    - by Paul White
    You’re probably most familiar with the terms ‘Seek’ and ‘Scan’ from the graphical plans produced by SQL Server Management Studio (SSMS).  The image to the left shows the most common ones, with the three types of scan at the top, followed by four types of seek.  You might look to the SSMS tool-tip descriptions to explain the differences between them: Not hugely helpful are they?  Both mention scans and ranges (nothing about seeks) and the Index Seek description implies that it will not scan the index entirely (which isn’t necessarily true). Recall also yesterday’s post where we saw two Clustered Index Seek operations doing very different things.  The first Seek performed 63 single-row seeking operations; and the second performed a ‘Range Scan’ (more on those later in this post).  I hope you agree that those were two very different operations, and perhaps you are wondering why there aren’t different graphical plan icons for Range Scans and Seeks?  I have often wondered about that, and the first person to mention it after yesterday’s post was Erin Stellato (twitter | blog): Before we go on to make sense of all this, let’s look at another example of how SQL Server confusingly mixes the terms ‘Scan’ and ‘Seek’ in different contexts.  The diagram below shows a very simple heap table with two columns, one of which is the non-clustered Primary Key, and the other has a non-unique non-clustered index defined on it.  The right hand side of the diagram shows a simple query, it’s associated query plan, and a couple of extracts from the SSMS tool-tip and Properties windows. Notice the ‘scan direction’ entry in the Properties window snippet.  Is this a seek or a scan?  The different references to Scans and Seeks are even more pronounced in the XML plan output that the graphical plan is based on.  This fragment is what lies behind the single Index Seek icon shown above: You’ll find the same confusing references to Seeks and Scans throughout the product and its documentation. Making Sense of Seeks Let’s forget all about scans for a moment, and think purely about seeks.  Loosely speaking, a seek is the process of navigating an index B-tree to find a particular index record, most often at the leaf level.  A seek starts at the root and navigates down through the levels of the index to find the point of interest: Singleton Lookups The simplest sort of seek predicate performs this traversal to find (at most) a single record.  This is the case when we search for a single value using a unique index and an equality predicate.  It should be readily apparent that this type of search will either find one record, or none at all.  This operation is known as a singleton lookup.  Given the example table from before, the following query is an example of a singleton lookup seek: Sadly, there’s nothing in the graphical plan or XML output to show that this is a singleton lookup – you have to infer it from the fact that this is a single-value equality seek on a unique index.  The other common examples of a singleton lookup are bookmark lookups – both the RID and Key Lookup forms are singleton lookups (an RID lookup finds a single record in a heap from the unique row locator, and a Key Lookup does much the same thing on a clustered table).  If you happen to run your query with STATISTICS IO ON, you will notice that ‘Scan Count’ is always zero for a singleton lookup. Range Scans The other type of seek predicate is a ‘seek plus range scan’, which I will refer to simply as a range scan.  The seek operation makes an initial descent into the index structure to find the first leaf row that qualifies, and then performs a range scan (either backwards or forwards in the index) until it reaches the end of the scan range. The ability of a range scan to proceed in either direction comes about because index pages at the same level are connected by a doubly-linked list – each page has a pointer to the previous page (in logical key order) as well as a pointer to the following page.  The doubly-linked list is represented by the green and red dotted arrows in the index diagram presented earlier.  One subtle (but important) point is that the notion of a ‘forward’ or ‘backward’ scan applies to the logical key order defined when the index was built.  In the present case, the non-clustered primary key index was created as follows: CREATE TABLE dbo.Example ( key_col INTEGER NOT NULL, data INTEGER NOT NULL, CONSTRAINT [PK dbo.Example key_col] PRIMARY KEY NONCLUSTERED (key_col ASC) ) ; Notice that the primary key index specifies an ascending sort order for the single key column.  This means that a forward scan of the index will retrieve keys in ascending order, while a backward scan would retrieve keys in descending key order.  If the index had been created instead on key_col DESC, a forward scan would retrieve keys in descending order, and a backward scan would return keys in ascending order. A range scan seek predicate may have a Start condition, an End condition, or both.  Where one is missing, the scan starts (or ends) at one extreme end of the index, depending on the scan direction.  Some examples might help clarify that: the following diagram shows four queries, each of which performs a single seek against a column holding every integer from 1 to 100 inclusive.  The results from each query are shown in the blue columns, and relevant attributes from the Properties window appear on the right: Query 1 specifies that all key_col values less than 5 should be returned in ascending order.  The query plan achieves this by seeking to the start of the index leaf (there is no explicit starting value) and scanning forward until the End condition (key_col < 5) is no longer satisfied (SQL Server knows it can stop looking as soon as it finds a key_col value that isn’t less than 5 because all later index entries are guaranteed to sort higher). Query 2 asks for key_col values greater than 95, in descending order.  SQL Server returns these results by seeking to the end of the index, and scanning backwards (in descending key order) until it comes across a row that isn’t greater than 95.  Sharp-eyed readers may notice that the end-of-scan condition is shown as a Start range value.  This is a bug in the XML show plan which bubbles up to the Properties window – when a backward scan is performed, the roles of the Start and End values are reversed, but the plan does not reflect that.  Oh well. Query 3 looks for key_col values that are greater than or equal to 10, and less than 15, in ascending order.  This time, SQL Server seeks to the first index record that matches the Start condition (key_col >= 10) and then scans forward through the leaf pages until the End condition (key_col < 15) is no longer met. Query 4 performs much the same sort of operation as Query 3, but requests the output in descending order.  Again, we have to mentally reverse the Start and End conditions because of the bug, but otherwise the process is the same as always: SQL Server finds the highest-sorting record that meets the condition ‘key_col < 25’ and scans backward until ‘key_col >= 20’ is no longer true. One final point to note: seek operations always have the Ordered: True attribute.  This means that the operator always produces rows in a sorted order, either ascending or descending depending on how the index was defined, and whether the scan part of the operation is forward or backward.  You cannot rely on this sort order in your queries of course (you must always specify an ORDER BY clause if order is important) but SQL Server can make use of the sort order internally.  In the four queries above, the query optimizer was able to avoid an explicit Sort operator to honour the ORDER BY clause, for example. Multiple Seek Predicates As we saw yesterday, a single index seek plan operator can contain one or more seek predicates.  These seek predicates can either be all singleton seeks or all range scans – SQL Server does not mix them.  For example, you might expect the following query to contain two seek predicates, a singleton seek to find the single record in the unique index where key_col = 10, and a range scan to find the key_col values between 15 and 20: SELECT key_col FROM dbo.Example WHERE key_col = 10 OR key_col BETWEEN 15 AND 20 ORDER BY key_col ASC ; In fact, SQL Server transforms the singleton seek (key_col = 10) to the equivalent range scan, Start:[key_col >= 10], End:[key_col <= 10].  This allows both range scans to be evaluated by a single seek operator.  To be clear, this query results in two range scans: one from 10 to 10, and one from 15 to 20. Final Thoughts That’s it for today – tomorrow we’ll look at monitoring singleton lookups and range scans, and I’ll show you a seek on a heap table. Yes, a seek.  On a heap.  Not an index! If you would like to run the queries in this post for yourself, there’s a script below.  Thanks for reading! IF OBJECT_ID(N'dbo.Example', N'U') IS NOT NULL BEGIN DROP TABLE dbo.Example; END ; -- Test table is a heap -- Non-clustered primary key on 'key_col' CREATE TABLE dbo.Example ( key_col INTEGER NOT NULL, data INTEGER NOT NULL, CONSTRAINT [PK dbo.Example key_col] PRIMARY KEY NONCLUSTERED (key_col) ) ; -- Non-unique non-clustered index on the 'data' column CREATE NONCLUSTERED INDEX [IX dbo.Example data] ON dbo.Example (data) ; -- Add 100 rows INSERT dbo.Example WITH (TABLOCKX) ( key_col, data ) SELECT key_col = V.number, data = V.number FROM master.dbo.spt_values AS V WHERE V.[type] = N'P' AND V.number BETWEEN 1 AND 100 ; -- ================ -- Singleton lookup -- ================ ; -- Single value equality seek in a unique index -- Scan count = 0 when STATISTIS IO is ON -- Check the XML SHOWPLAN SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col = 32 ; -- =========== -- Range Scans -- =========== ; -- Query 1 SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col <= 5 ORDER BY E.key_col ASC ; -- Query 2 SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col > 95 ORDER BY E.key_col DESC ; -- Query 3 SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col >= 10 AND E.key_col < 15 ORDER BY E.key_col ASC ; -- Query 4 SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col >= 20 AND E.key_col < 25 ORDER BY E.key_col DESC ; -- Final query (singleton + range = 2 range scans) SELECT E.key_col FROM dbo.Example AS E WHERE E.key_col = 10 OR E.key_col BETWEEN 15 AND 20 ORDER BY E.key_col ASC ; -- === TIDY UP === DROP TABLE dbo.Example; © 2011 Paul White email: [email protected] twitter: @SQL_Kiwi

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  • SQL SERVER – Import CSV into Database – Transferring File Content into a Database Table using CSVexpress

    - by pinaldave
    One of the most common data integration tasks I run into is a desire to move data from a file into a database table.  Generally the user is familiar with his data, the structure of the file, and the database table, but is unfamiliar with data integration tools and therefore views this task as something that is difficult.  What these users really need is a point and click approach that minimizes the learning curve for the data integration tool.  This is what CSVexpress (www.CSVexpress.com) is all about!  It is based on expressor Studio, a data integration tool I’ve been reviewing over the last several months. With CSVexpress, moving data between data sources can be as simple as providing the database connection details, describing the structure of the incoming and outgoing data and then connecting two pre-programmed operators.   There’s no need to learn the intricacies of the data integration tool or to write code.  Let’s look at an example. Suppose I have a comma separated value data file with data similar to the following, which is a listing of terminated employees that includes their hiring and termination date, department, job description, and final salary. EMP_ID,STRT_DATE,END_DATE,JOB_ID,DEPT_ID,SALARY 102,13-JAN-93,24-JUL-98 17:00,Programmer,60,"$85,000" 101,21-SEP-89,27-OCT-93 17:00,Account Representative,110,"$65,000" 103,28-OCT-93,15-MAR-97 17:00,Account Manager,110,"$75,000" 304,17-FEB-96,19-DEC-99 17:00,Marketing,20,"$45,000" 333,24-MAR-98,31-DEC-99 17:00,Data Entry Clerk,50,"$35,000" 100,17-SEP-87,17-JUN-93 17:00,Administrative Assistant,90,"$40,000" 334,24-MAR-98,31-DEC-98 17:00,Sales Representative,80,"$40,000" 400,01-JAN-99,31-DEC-99 17:00,Sales Manager,80,"$55,000" Notice the concise format used for the date values, the fact that the termination date includes both date and time information, and that the salary is clearly identified as money by the dollar sign and digit grouping.  In moving this data to a database table I want to express the dates using a format that includes the century since it’s obvious that this listing could include employees who left the company in both the 20th and 21st centuries, and I want the salary to be stored as a decimal value without the currency symbol and grouping character.  Most data integration tools would require coding within a transformation operation to effect these changes, but not expressor Studio.  Directives for these modifications are included in the description of the incoming data. Besides starting the expressor Studio tool and opening a project, the first step is to create connection artifacts, which describe to expressor where data is stored.  For this example, two connection artifacts are required: a file connection, which encapsulates the file system location of my file; and a database connection, which encapsulates the database connection information.  With expressor Studio, I use wizards to create these artifacts. First click New Connection > File Connection in the Home tab of expressor Studio’s ribbon bar, which starts the File Connection wizard.  In the first window, I enter the path to the directory that contains the input file.  Note that the file connection artifact only specifies the file system location, not the name of the file. Then I click Next and enter a meaningful name for this connection artifact; clicking Finish closes the wizard and saves the artifact. To create the Database Connection artifact, I must know the location of, or instance name, of the target database and have the credentials of an account with sufficient privileges to write to the target table.  To use expressor Studio’s features to the fullest, this account should also have the authority to create a table. I click the New Connection > Database Connection in the Home tab of expressor Studio’s ribbon bar, which starts the Database Connection wizard.  expressor Studio includes high-performance drivers for many relational database management systems, so I can simply make a selection from the “Supplied database drivers” drop down control.  If my desired RDBMS isn’t listed, I can optionally use an existing ODBC DSN by selecting the “Existing DSN” radio button. In the following window, I enter the connection details.  With Microsoft SQL Server, I may choose to use Windows Authentication rather than rather than account credentials.  After clicking Next, I enter a meaningful name for this connection artifact and clicking Finish closes the wizard and saves the artifact. Now I create a schema artifact, which describes the structure of the file data.  When expressor reads a file, all data fields are typed as strings.  In some use cases this may be exactly what is needed and there is no need to edit the schema artifact.  But in this example, editing the schema artifact will be used to specify how the data should be transformed; that is, reformat the dates to include century designations, change the employee and job ID’s to integers, and convert the salary to a decimal value. Again a wizard is used to create the schema artifact.  I click New Schema > Delimited Schema in the Home tab of expressor Studio’s ribbon bar, which starts the Database Connection wizard.  In the first window, I click Get Data from File, which then displays a listing of the file connections in the project.  When I click on the file connection I previously created, a browse window opens to this file system location; I then select the file and click Open, which imports 10 lines from the file into the wizard. I now view the file’s content and confirm that the appropriate delimiter characters are selected in the “Field Delimiter” and “Record Delimiter” drop down controls; then I click Next. Since the input file includes a header row, I can easily indicate that fields in the file should be identified through the corresponding header value by clicking “Set All Names from Selected Row. “ Alternatively, I could enter a different identifier into the Field Details > Name text box.  I click Next and enter a meaningful name for this schema artifact; clicking Finish closes the wizard and saves the artifact. Now I open the schema artifact in the schema editor.  When I first view the schema’s content, I note that the types of all attributes in the Semantic Type (the right-hand panel) are strings and that the attribute names are the same as the field names in the data file.  To change an attribute’s name and type, I highlight the attribute and click Edit in the Attributes grouping on the Schema > Edit tab of the editor’s ribbon bar.  This opens the Edit Attribute window; I can change the attribute name and select the desired type from the “Data type” drop down control.  In this example, I change the name of each attribute to the name of the corresponding database table column (EmployeeID, StartingDate, TerminationDate, JobDescription, DepartmentID, and FinalSalary).  Then for the EmployeeID and DepartmentID attributes, I select Integer as the data type, for the StartingDate and TerminationDate attributes, I select Datetime as the data type, and for the FinalSalary attribute, I select the Decimal type. But I can do much more in the schema editor.  For the datetime attributes, I can set a constraint that ensures that the data adheres to some predetermined specifications; a starting date must be later than January 1, 1980 (the date on which the company began operations) and a termination date must be earlier than 11:59 PM on December 31, 1999.  I simply select the appropriate constraint and enter the value (1980-01-01 00:00 as the starting date and 1999-12-31 11:59 as the termination date). As a last step in setting up these datetime conversions, I edit the mapping, describing the format of each datetime type in the source file. I highlight the mapping line for the StartingDate attribute and click Edit Mapping in the Mappings grouping on the Schema > Edit tab of the editor’s ribbon bar.  This opens the Edit Mapping window in which I either enter, or select, a format that describes how the datetime values are represented in the file.  Note the use of Y01 as the syntax for the year.  This syntax is the indicator to expressor Studio to derive the century by setting any year later than 01 to the 20th century and any year before 01 to the 21st century.  As each datetime value is read from the file, the year values are transformed into century and year values. For the TerminationDate attribute, my format also indicates that the datetime value includes hours and minutes. And now to the Salary attribute. I open its mapping and in the Edit Mapping window select the Currency tab and the “Use currency” check box.  This indicates that the file data will include the dollar sign (or in Europe the Pound or Euro sign), which should be removed. And on the Grouping tab, I select the “Use grouping” checkbox and enter 3 into the “Group size” text box, a comma into the “Grouping character” text box, and a decimal point into the “Decimal separator” character text box. These entries allow the string to be properly converted into a decimal value. By making these entries into the schema that describes my input file, I’ve specified how I want the data transformed prior to writing to the database table and completely removed the requirement for coding within the data integration application itself. Assembling the data integration application is simple.  Onto the canvas I drag the Read File and Write Table operators, connecting the output of the Read File operator to the input of the Write Table operator. Next, I select the Read File operator and its Properties panel opens on the right-hand side of expressor Studio.  For each property, I can select an appropriate entry from the corresponding drop down control.  Clicking on the button to the right of the “File name” text box opens the file system location specified in the file connection artifact, allowing me to select the appropriate input file.  I indicate also that the first row in the file, the header row, should be skipped, and that any record that fails one of the datetime constraints should be skipped. I then select the Write Table operator and in its Properties panel specify the database connection, normal for the “Mode,” and the “Truncate” and “Create Missing Table” options.  If my target table does not yet exist, expressor will create the table using the information encapsulated in the schema artifact assigned to the operator. The last task needed to complete the application is to create the schema artifact used by the Write Table operator.  This is extremely easy as another wizard is capable of using the schema artifact assigned to the Read Table operator to create a schema artifact for the Write Table operator.  In the Write Table Properties panel, I click the drop down control to the right of the “Schema” property and select “New Table Schema from Upstream Output…” from the drop down menu. The wizard first displays the table description and in its second screen asks me to select the database connection artifact that specifies the RDBMS in which the target table will exist.  The wizard then connects to the RDBMS and retrieves a list of database schemas from which I make a selection.  The fourth screen gives me the opportunity to fine tune the table’s description.  In this example, I set the width of the JobDescription column to a maximum of 40 characters and select money as the type of the LastSalary column.  I also provide the name for the table. This completes development of the application.  The entire application was created through the use of wizards and the required data transformations specified through simple constraints and specifications rather than through coding.  To develop this application, I only needed a basic understanding of expressor Studio, a level of expertise that can be gained by working through a few introductory tutorials.  expressor Studio is as close to a point and click data integration tool as one could want and I urge you to try this product if you have a need to move data between files or from files to database tables. Check out CSVexpress in more detail.  It offers a few basic video tutorials and a preview of expressor Studio 3.5, which will support the reading and writing of data into Salesforce.com. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • Caching NHibernate Named Queries

    - by TStewartDev
    I recently started a new job and one of my first tasks was to implement a "popular products" design. The parameters were that it be done with NHibernate and be cached for 24 hours at a time because the query will be pretty taxing and the results do not need to be constantly up to date. This ended up being tougher than it sounds. The database schema meant a minimum of four joins with filtering and ordering criteria. I decided to use a stored procedure rather than letting NHibernate create the SQL for me. Here is a summary of what I learned (even if I didn't ultimately use all of it): You can't, at the time of this writing, use Fluent NHibernate to configure SQL named queries or imports You can return persistent entities from a stored procedure and there are a couple ways to do that You can populate POCOs using the results of a stored procedure, but it isn't quite as obvious You can reuse your named query result mapping other places (avoid duplication) Caching your query results is not at all obvious Testing to see if your cache is working is a pain NHibernate does a lot of things right. Having unified, up-to-date, comprehensive, and easy-to-find documentation is not one of them. By the way, if you're new to this, I'll use the terms "named query" and "stored procedure" (from NHibernate's perspective) fairly interchangeably. Technically, a named query can execute any SQL, not just a stored procedure, and a stored procedure doesn't have to be executed from a named query, but for reusability, it seems to me like the best practice. If you're here, chances are good you're looking for answers to a similar problem. You don't want to read about the path, you just want the result. So, here's how to get this thing going. The Stored Procedure NHibernate has some guidelines when using stored procedures. For Microsoft SQL Server, you have to return a result set. The scalar value that the stored procedure returns is ignored as are any result sets after the first. Other than that, it's nothing special. CREATE PROCEDURE GetPopularProducts @StartDate DATETIME, @MaxResults INT AS BEGIN SELECT [ProductId], [ProductName], [ImageUrl] FROM SomeTableWithJoinsEtc END The Result Class - PopularProduct You have two options to transport your query results to your view (or wherever is the final destination): you can populate an existing mapped entity class in your model, or you can create a new entity class. If you go with the existing model, the advantage is that the query will act as a loader and you'll get full proxied access to the domain model. However, this can be a disadvantage if you require access to the related entities that aren't loaded by your results. For example, my PopularProduct has image references. Unless I tie them into the query (thus making it even more complicated and expensive to run), they'll have to be loaded on access, requiring more trips to the database. Since we're trying to avoid trips to the database by using a second-level cache, we should use the second option, which is to create a separate entity for results. This approach is (I believe) in the spirit of the Command-Query Separation principle, and it allows us to flatten our data and optimize our report-generation process from data source to view. public class PopularProduct { public virtual int ProductId { get; set; } public virtual string ProductName { get; set; } public virtual string ImageUrl { get; set; } } The NHibernate Mappings (hbm) Next up, we need to let NHibernate know about the query and where the results will go. Below is the markup for the PopularProduct class. Notice that I'm using the <resultset> element and that it has a name attribute. The name allows us to drop this into our query map and any others, giving us reusability. Also notice the <import> element which lets NHibernate know about our entity class. <?xml version="1.0" encoding="utf-8" ?> <hibernate-mapping xmlns="urn:nhibernate-mapping-2.2"> <import class="PopularProduct, Infrastructure.NHibernate, Version=1.0.0.0"/> <resultset name="PopularProductResultSet"> <return-scalar column="ProductId" type="System.Int32"/> <return-scalar column="ProductName" type="System.String"/> <return-scalar column="ImageUrl" type="System.String"/> </resultset> </hibernate-mapping>  And now the PopularProductsMap: <?xml version="1.0" encoding="utf-8" ?> <hibernate-mapping xmlns="urn:nhibernate-mapping-2.2"> <sql-query name="GetPopularProducts" resultset-ref="PopularProductResultSet" cacheable="true" cache-mode="normal"> <query-param name="StartDate" type="System.DateTime" /> <query-param name="MaxResults" type="System.Int32" /> exec GetPopularProducts @StartDate = :StartDate, @MaxResults = :MaxResults </sql-query> </hibernate-mapping>  The two most important things to notice here are the resultset-ref attribute, which links in our resultset mapping, and the cacheable attribute. The Query Class – PopularProductsQuery So far, this has been fairly obvious if you're familiar with NHibernate. This next part, maybe not so much. You can implement your query however you want to; for me, I wanted a self-encapsulated Query class, so here's what it looks like: public class PopularProductsQuery : IPopularProductsQuery { private static readonly IResultTransformer ResultTransformer; private readonly ISessionBuilder _sessionBuilder;   static PopularProductsQuery() { ResultTransformer = Transformers.AliasToBean<PopularProduct>(); }   public PopularProductsQuery(ISessionBuilder sessionBuilder) { _sessionBuilder = sessionBuilder; }   public IList<PopularProduct> GetPopularProducts(DateTime startDate, int maxResults) { var session = _sessionBuilder.GetSession(); var popularProducts = session .GetNamedQuery("GetPopularProducts") .SetCacheable(true) .SetCacheRegion("PopularProductsCacheRegion") .SetCacheMode(CacheMode.Normal) .SetReadOnly(true) .SetResultTransformer(ResultTransformer) .SetParameter("StartDate", startDate.Date) .SetParameter("MaxResults", maxResults) .List<PopularProduct>();   return popularProducts; } }  Okay, so let's look at each line of the query execution. The first, GetNamedQuery, matches up with our NHibernate mapping for the sql-query. Next, we set it as cacheable (this is probably redundant since our mapping also specified it, but it can't hurt, right?). Then we set the cache region which we'll get to in the next section. Set the cache mode (optional, I believe), and my cache is read-only, so I set that as well. The result transformer is very important. This tells NHibernate how to transform your query results into a non-persistent entity. You can see I've defined ResultTransformer in the static constructor using the AliasToBean transformer. The name is obviously leftover from Java/Hibernate. Finally, set your parameters and then call a result method which will execute the query. Because this is set to cached, you execute this statement every time you run the query and NHibernate will know based on your parameters whether to use its cached version or a fresh version. The Configuration – hibernate.cfg.xml and Web.config You need to explicitly enable second-level caching in your hibernate configuration: <hibernate-configuration xmlns="urn:nhibernate-configuration-2.2"> <session-factory> [...] <property name="dialect">NHibernate.Dialect.MsSql2005Dialect</property> <property name="cache.provider_class">NHibernate.Caches.SysCache.SysCacheProvider,NHibernate.Caches.SysCache</property> <property name="cache.use_query_cache">true</property> <property name="cache.use_second_level_cache">true</property> [...] </session-factory> </hibernate-configuration> Both properties "use_query_cache" and "use_second_level_cache" are necessary. As this is for a web deployement, we're using SysCache which relies on ASP.NET's caching. Be aware of this if you're not deploying to the web! You'll have to use a different cache provider. We also need to tell our cache provider (in this cache, SysCache) about our caching region: <syscache> <cache region="PopularProductsCacheRegion" expiration="86400" priority="5" /> </syscache> Here I've set the cache to be valid for 24 hours. This XML snippet goes in your Web.config (or in a separate file referenced by Web.config, which helps keep things tidy). The Payoff That should be it! At this point, your queries should run once against the database for a given set of parameters and then use the cache thereafter until it expires. You can, of course, adjust settings to work in your particular environment. Testing Testing your application to ensure it is using the cache is a pain, but if you're like me, you want to know that it's actually working. It's a bit involved, though, so I'll create a separate post for it if comments indicate there is interest.

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  • Conversion of BizTalk Projects to Use the New WCF-SAP Adaptor

    - by Geordie
    We are in the process of upgrading our BizTalk Environment from BizTalk 2006 R2 to BizTalk 2010. The SAP adaptor in BizTalk 2010 is an all new and more powerful WCF-SAP adaptor. When my colleagues tested out the new adaptor they discovered that the format of the data extracted from SAP was not identical to the old adaptor. This is not a big deal if the structure of the messages from SAP is simple. In this case we were receiving the delivery and invoice iDocs. Both these structures are complex especially the delivery document. Over the past few years I have tweaked the delivery mapping to remove bugs from original mapping. The idea of redoing these maps did not appeal and due to the current work load was not even an option. I opted for a rather crude alternative of pulling in the iDoc in the new typed format and then adding a static map at the start of the orchestration to convert the data to the old schema.  Note WCF-SAP data formats (on the binding tab of the configuration dialog box is the ‘RecieiveIdocFormat’ field): Typed:  Returns a XML document with the hierarchy represented in XML and all fields being represented by XML tags. RFC: Returns an XML document with the hierarchy represented in XML but the iDoc lines in flat file format. String: This returns the iDoc in a format that is closest to the original flat file format but is still wrapped with some top level XML tags. The files also contained some strange characters at the end of each line. I started with the invoice document and it was quite straight forward to add the mapping but this is where my problems started. The orchestrations for these documents are dynamic and so require the identity of the partner to be able to correctly configure the orchestration. The partner identity is in the EDI_DC40 segment of the iDoc. In the old project the RECPRN node of the segment was promoted. The code to set a variable to the partner ID was now failing. After lot of head scratching I discovered the problem was due to the addition of Namespaces to the fields in the EDI_DC40 segment. To overcome this I needed to use an xPath query with a Namespace Manager. This had to be done in custom code. I now tried to repeat the process with the delivery document. Unfortunately when we tried to get sample typed data from SAP an exception was thrown. The adapter "WCF-SAP" raised an error message. Details "Microsoft.ServiceModel.Channels.Common.XmlReaderGenerationException: The segment or group definition E2EDKA1001 was not found in the IDoc metadata. The UniqueId of the IDoc type is: IDOCTYP/3/DESADV01/ZASNEXT1/640. For Receive operations, the SAP adapter does not support unreleased segments.   Our guess is that when the WCF-SAP adaptor tries to down load the data it retrieves a data schema from SAP. For some reason the schema does not match the data. This may be due to the version of SAP we are running or due to a customization. Either way resolving this problem did not look easy. When doing some research on this problem I found an article showing me how to get the data from SAP using the WCF-SAP adaptor without any XML tags. http://blogs.msdn.com/b/adapters/archive/2007/10/05/receiving-idocs-getting-the-raw-idoc-data.aspx Reproduction of Mustansir blog: Since the WCF based SAP Adapter is ... well, WCF based, all data flowing in and out of the adapter is encapsulated within a SOAP message. Which means there are those pesky xml tags all over the place. If you want to receive an Idoc from SAP, you can receive it in "Typed" format (in which case each column in each segment of the idoc appears within its own xml tag), or you can receive it in "String" format (in which case there are just 2 xml tags at the top, the raw xml data in string/flat file format, and the 2 closing xml tags). In "String" format, an incoming idoc (for ORDERS05, containing 5 data records) would look like: <ReceiveIdoc ><idocData>EDI_DC40 8000000000001064985620 E2EDK01005 800000000000106498500000100000001 E2EDK14 8000000000001064985000002000000020111000 E2EDK14 8000000000001064985000003000000020081000 E2EDK14 80000000000010649850000040000000200710 E2EDK14 80000000000010649850000050000000200600</idocData></ReceiveIdoc> (I have trimmed part of the control record so that it fits cleanly here on one line). Now, you're only interested in the IDOC data, and don't care much for the XML tags. It isn't that difficult to write your own pipeline component, or even some logic in the orchestration to remove the tags, right? Well, you don't need to write any extra code at all - the WCF Adapter can help you here! During the configuration of your one-way Receive Location using WCF-Custom, navigate to the Messages tab. Under the section "Inbound BizTalk Messge Body", select the "Path" radio button, and: (a) Enter the body path expression as: /*[local-name()='ReceiveIdoc']/*[local-name()='idocData'] (b) Choose "String" for the Node Encoding. What we've done is, used an XPATH to pull out the value of the "idocData" node from the XML. Your Receive Location will now emit text containing only the idoc data. You can at this point, for example, put the Flat File Pipeline component to convert the flat text into a different xml format based on some other schema you already have, and receive your version of the xml formatted message in your orchestration.   This was potentially a much easier solution than adding the static maps to the orchestrations and overcame the issue with ‘Typed’ delivery documents. Not quite so fast… Note: When I followed Mustansir’s blog the characters at the end of each line disappeared. After configuring the adaptor and passing the iDoc data into the original flat file receive pipelines I was receiving exceptions. There was a failure executing the receive pipeline: "PAPINETPipelines.DeliveryFlatFileReceive, CustomerIntegration2.PAPINET.Pipelines, Version=1.0.0.0, Culture=neutral, PublicKeyToken=4ca3635fbf092bbb" Source: "Pipeline " Receive Port: "recSAP_Delivery" URI: "D:\CustomerIntegration2\SAP\Delivery\*.xml" Reason: An error occurred when parsing the incoming document: "Unexpected data found while looking for: 'Z2EDPZ7' The current definition being parsed is E2EDP07GRP. The stream offset where the error occured is 8859. The line number where the error occured is 23. The column where the error occured is 0.". Although the new flat file looked the same as the old one there was a differences. In the original file all lines in the document were exactly 1064 character long. In the new file all lines were truncated to the last alphanumeric character. The final piece of the puzzle was to add a custom pipeline component to pad all the lines to 1064 characters. This component was added to the decode node of the custom delivery and invoice flat file disassembler pipelines. Execute method of the custom pipeline component: public IBaseMessage Execute(IPipelineContext pc, IBaseMessage inmsg) { //Convert Stream to a string Stream s = null; IBaseMessagePart bodyPart = inmsg.BodyPart;   // NOTE inmsg.BodyPart.Data is implemented only as a setter in the http adapter API and a //getter and setter for the file adapter. Use GetOriginalDataStream to get data instead. if (bodyPart != null) s = bodyPart.GetOriginalDataStream();   string newMsg = string.Empty; string strLine; try { StreamReader sr = new StreamReader(s); strLine = sr.ReadLine(); while (strLine != null) { //Execute padding code if (strLine != null) strLine = strLine.PadRight(1064, ' ') + "\r\n"; newMsg += strLine; strLine = sr.ReadLine(); } sr.Close(); } catch (IOException ex) { throw new Exception("Error occured trying to pad the message to 1064 charactors"); }   //Convert back to stream and set to Data property inmsg.BodyPart.Data = new MemoryStream(Encoding.UTF8.GetBytes(newMsg)); ; //reset the position of the stream to zero inmsg.BodyPart.Data.Position = 0; return inmsg; }

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  • CodePlex Daily Summary for Tuesday, July 03, 2012

    CodePlex Daily Summary for Tuesday, July 03, 2012Popular ReleasesMini SQL Query: Mini SQL Query: Just a bug fix release for when the connections try to refresh after an edit. Make sure you read the http://pksoftware.net/Content/MiniSqlQuery/Help/MiniSqlQueryQuickStart.docx for an introduction.Microsoft Ajax Minifier: Microsoft Ajax Minifier 4.58: Fix for Issue #18296: provide "ALL" value to the -ignore switch to ignore all error and warning messages. Fix for issue #18293: if encountering EOF before a function declaration or expression is properly closed, throw an appropriate error and don't crash. Adjust the variable-renaming algorithm so it's very specific when renaming variables with the same number of references so a single source file ends up with the same minified names on different platforms. add the ability to specify kno...LogExpert: 1.4 build 4566: This release for the 1.4 version line contains various fixes which have been made some times ago. Until now these fixes were only available in the 1.5 alpha versions. It also contains a fix for: 710. Column finder (press F8 to show) Terminal server issues: Multiple sessions with same user should work now Settings Export/Import available via Settings Dialog still incomple (e.g. tab colors are not saved) maybe I change the file format one day no command line support yet (for importin...DynamicToSql: DynamicToSql 1.0.0 (beta): 1.0.0 beta versionCommonLibrary.NET: CommonLibrary.NET 0.9.8.5 - Final Release: A collection of very reusable code and components in C# 4.0 ranging from ActiveRecord, Csv, Command Line Parsing, Configuration, Holiday Calendars, Logging, Authentication, and much more. FluentscriptCommonLibrary.NET 0.9.8 contains a scripting language called FluentScript. Releases notes for FluentScript located at http://fluentscript.codeplex.com/wikipage?action=Edit&title=Release%20Notes&referringTitle=Documentation Fluentscript - 0.9.8.5 - Final ReleaseApplication: FluentScript Versio...SharePoint 2010 Metro UI: SharePoint 2010 Metro UI8: Please review the documentation link for how to install. Installation takes some basic knowledge of how to upload and edit SharePoint Artifact files. Please view the discussions tab for ongoing FAQsBack-Propagation Neural Networks Simulation: Back-Propagation Neural Networks Simulation: This is the first release application for Back-Propagation Neural Networks Simulation. It is required .NET Framework 4.0. Check this to use http://backpronn.codeplex.comnopCommerce. Open source shopping cart (ASP.NET MVC): nopcommerce 2.60: Highlight features & improvements: • Significant performance optimization. • Use AJAX for adding products to the cart. • New flyout mini-shopping cart. • Auto complete suggestions for product searching. • Full-Text support. • EU cookie law support. To see the full list of fixes and changes please visit the release notes page (http://www.nopCommerce.com/releasenotes.aspx).THE NVL Maker: The NVL Maker Ver 3.51: http://download.codeplex.com/Download?ProjectName=nvlmaker&DownloadId=371510 ????:http://115.com/file/beoef05k#THE-NVL-Maker-ver3.51-sim.7z ????:http://www.mediafire.com/file/6tqdwj9jr6eb9qj/THENVLMakerver3.51tra.7z ======================================== ???? ======================================== 3.51 beta ???: ·?????????????????????? ·?????????,?????????0,?????????????????????? ·??????????????????????????? ·?????????????TJS????(EXP??) ·??4:3???,???????????????,??????????? ·?????????...????: ????2.0.3: 1、???????????。 2、????????。 3、????????????。 4、bug??,????。Generic enumeration: Enumeration.zip: Generic enumeration dll with a test console application.Apworks: Apworks (v2.5.4563.21309, 30JUN2012): Installation Prerequisites: 1. Microsoft .NET Framework 4.0 SP1 2. Microsoft Visual Studio 2010 SP1 3. Other required libraries & assemblies are now included in the installation package so no more prerequisites needed Functional Updates: 1. Refactor the identity field of the IEntity interface from 'Id' to 'ID' 2. Changed the MySql Storage to use the MySql NetConnector version 6.4.4. 3. Implemented the paging support for the repositories. 4. Added the Eager Loading Property specification t...AssaultCube Reloaded: 2.5 Intrepid: Linux has Ubuntu 11.10 32-bit precompiled binaries and Ubuntu 10.10 64-bit precompiled binaries, but you can compile your own as it also contains the source. If you are using Mac or other operating systems, download the Linux package. Try to compile it. If it fails, download a virtual machine. The server pack is ready for both Windows and Linux, but you might need to compile your own for Linux (source included) You should delete /home/config/saved.cfg to reset binds/other stuff If you us...WallSwitch: WallSwitch 1.0.4: Version 1.0.4 Changes: Changes in previous version broke hotkey support; fixed this. When minimizing the window to tray, if there are unsaved changes, then prompt to save first. When changing the path on a folder location, reset the file list. Fixed app not shutting down properly when closed externally. Improved installer to shut down app instead of requiring reboot. Clear History action now clears all history, rather than just the current theme.List Form Manipulation Framework (LFMF) for SharePoint 2010: LFMF v1.1: Added new SPFieldIO field type to reference filenamesSystem.Net.FtpClient: API Reference 2012.06.29: Updated with new file listing example as well as any API changes since the last release.Magelia WebStore Open-source Ecommerce software: Magelia WebStore 2.0: User Right Licensing ContentType version 2.0.267.1Designing Windows 8 Applications with C# and XAML: Chapters 1 - 7 Release Preview: Source code for all examples from Chapters 1 - 7 for the Release PreviewSQL Server FineBuild: Version 3.1.0: Top SQL Server FineBuild Version 3.1.0This is the stable version of FineBuild for SQL Server 2012, 2008 R2, 2008 and 2005 Documentation FineBuild Wiki containing details of the FineBuild process Known Issues Limitations with this release FineBuild V3.1.0 Release Contents List of changes included in this release Please DonateFineBuild is free, but please donate what you think FineBuild is worth as everything goes to charity. Tearfund is one of the UK's leading relief and de...EasySL: RapidSL V2: Rewrite RapidSL UI Framework, Using Silverlight 5.0 EF4.1 Code First Ria Service SP2 + Lastest Silverlight Toolkit.New Projects2DoTasks: This is a simple Dnn Module for Project/Tasks/time management. I hope you all found it useful.AOPify: AOPify lightweight fluent AOP framework that provides basic AOP features both before,after,onerror etc with fluent syntax..Capacitacion: This is my first Project - mvillasecoCLFiling: Client filing with search functionsContoso University MVC NTier: This is first version reference application for ASP.NET MVC NTier.DynamicToSql: DynamicToSql is a lightweight API that maps dynamically typed entities to a database and vice versa. It works against any database that has ADO.NET drivers.Enlightener: Deobfuscator target at Confuser. Child project of http://netdeob0.codeplex.com/Excel Adjacency List to Dot: Excel add-in to generate graphs in GraphViz dot file format from an adjacency list in Excel.FFXIV Job Bar: This is a little utility to help with Job changes in FFXIV. Gallery: A simple javascript/jquery based image gallery. Just include the Gallery.js and jquery in your html page.Grocery Droid: Transfer your P.C. designed shopping list to androidLOCOL: Locol is a internet medium to provide local information and services to district local residents.Meter: Log communal meters dataNthDownload: NthDownload is yet another attempt at a download manager.Paginacion de un objeto en un gridview: Como paginar un objeto con multiples resultados en un gridviewRunman game: "Runman" is port of "Pac-Man" game writing on C# and XNASB01: Project will be a startup for a warehouse management and easy to extend by any developer. Plug n play kind of setup.SC2Ranks API: A .NET 4.0 SC2Ranks APISharePoint 2010 Cookie Approval Control: If you need to comply with EU cookie law this control displays a message to each user that cookies are in use on the site and allows them to accept the messageSharePoint Advanced Visibility Options: Advanced Visibility Options - is an extension to SharePoint providing configurable List Field Iterator with PowerShell scripts.smtools2: Add-on tools for Service MonsterSparqube Picture Column Lite for SharePoint 2010: Sparqube Picture Column Lite is simple component for uploading and displaying images in SharePoint 2010 lists.SpudloFizzBuzz: This project is part of a job application process.SwiftMVVM: An extremely fast, easily refactorable implementation of INotifyPropertyChanged/ing, using dynamic proxy generation, as well as a robust change tracking engine.ZPL Converter: ZPL Converter converts Zune Playlists (.ZPL) easily and fast into other playlist formats, e.g. '.M3U' or '.PLS'.

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  • Spooling in SQL execution plans

    - by Rob Farley
    Sewing has never been my thing. I barely even know the terminology, and when discussing this with American friends, I even found out that half the words that Americans use are different to the words that English and Australian people use. That said – let’s talk about spools! In particular, the Spool operators that you find in some SQL execution plans. This post is for T-SQL Tuesday, hosted this month by me! I’ve chosen to write about spools because they seem to get a bad rap (even in my song I used the line “There’s spooling from a CTE, they’ve got recursion needlessly”). I figured it was worth covering some of what spools are about, and hopefully explain why they are remarkably necessary, and generally very useful. If you have a look at the Books Online page about Plan Operators, at http://msdn.microsoft.com/en-us/library/ms191158.aspx, and do a search for the word ‘spool’, you’ll notice it says there are 46 matches. 46! Yeah, that’s what I thought too... Spooling is mentioned in several operators: Eager Spool, Lazy Spool, Index Spool (sometimes called a Nonclustered Index Spool), Row Count Spool, Spool, Table Spool, and Window Spool (oh, and Cache, which is a special kind of spool for a single row, but as it isn’t used in SQL 2012, I won’t describe it any further here). Spool, Table Spool, Index Spool, Window Spool and Row Count Spool are all physical operators, whereas Eager Spool and Lazy Spool are logical operators, describing the way that the other spools work. For example, you might see a Table Spool which is either Eager or Lazy. A Window Spool can actually act as both, as I’ll mention in a moment. In sewing, cotton is put onto a spool to make it more useful. You might buy it in bulk on a cone, but if you’re going to be using a sewing machine, then you quite probably want to have it on a spool or bobbin, which allows it to be used in a more effective way. This is the picture that I want you to think about in relation to your data. I’m sure you use spools every time you use your sewing machine. I know I do. I can’t think of a time when I’ve got out my sewing machine to do some sewing and haven’t used a spool. However, I often run SQL queries that don’t use spools. You see, the data that is consumed by my query is typically in a useful state without a spool. It’s like I can just sew with my cotton despite it not being on a spool! Many of my favourite features in T-SQL do like to use spools though. This looks like a very similar query to before, but includes an OVER clause to return a column telling me the number of rows in my data set. I’ll describe what’s going on in a few paragraphs’ time. So what does a Spool operator actually do? The spool operator consumes a set of data, and stores it in a temporary structure, in the tempdb database. This structure is typically either a Table (ie, a heap), or an Index (ie, a b-tree). If no data is actually needed from it, then it could also be a Row Count spool, which only stores the number of rows that the spool operator consumes. A Window Spool is another option if the data being consumed is tightly linked to windows of data, such as when the ROWS/RANGE clause of the OVER clause is being used. You could maybe think about the type of spool being like whether the cotton is going onto a small bobbin to fit in the base of the sewing machine, or whether it’s a larger spool for the top. A Table or Index Spool is either Eager or Lazy in nature. Eager and Lazy are Logical operators, which talk more about the behaviour, rather than the physical operation. If I’m sewing, I can either be all enthusiastic and get all my cotton onto the spool before I start, or I can do it as I need it. “Lazy” might not the be the best word to describe a person – in the SQL world it describes the idea of either fetching all the rows to build up the whole spool when the operator is called (Eager), or populating the spool only as it’s needed (Lazy). Window Spools are both physical and logical. They’re eager on a per-window basis, but lazy between windows. And when is it needed? The way I see it, spools are needed for two reasons. 1 – When data is going to be needed AGAIN. 2 – When data needs to be kept away from the original source. If you’re someone that writes long stored procedures, you are probably quite aware of the second scenario. I see plenty of stored procedures being written this way – where the query writer populates a temporary table, so that they can make updates to it without risking the original table. SQL does this too. Imagine I’m updating my contact list, and some of my changes move data to later in the book. If I’m not careful, I might update the same row a second time (or even enter an infinite loop, updating it over and over). A spool can make sure that I don’t, by using a copy of the data. This problem is known as the Halloween Effect (not because it’s spooky, but because it was discovered in late October one year). As I’m sure you can imagine, the kind of spool you’d need to protect against the Halloween Effect would be eager, because if you’re only handling one row at a time, then you’re not providing the protection... An eager spool will block the flow of data, waiting until it has fetched all the data before serving it up to the operator that called it. In the query below I’m forcing the Query Optimizer to use an index which would be upset if the Name column values got changed, and we see that before any data is fetched, a spool is created to load the data into. This doesn’t stop the index being maintained, but it does mean that the index is protected from the changes that are being done. There are plenty of times, though, when you need data repeatedly. Consider the query I put above. A simple join, but then counting the number of rows that came through. The way that this has executed (be it ideal or not), is to ask that a Table Spool be populated. That’s the Table Spool operator on the top row. That spool can produce the same set of rows repeatedly. This is the behaviour that we see in the bottom half of the plan. In the bottom half of the plan, we see that the a join is being done between the rows that are being sourced from the spool – one being aggregated and one not – producing the columns that we need for the query. Table v Index When considering whether to use a Table Spool or an Index Spool, the question that the Query Optimizer needs to answer is whether there is sufficient benefit to storing the data in a b-tree. The idea of having data in indexes is great, but of course there is a cost to maintaining them. Here we’re creating a temporary structure for data, and there is a cost associated with populating each row into its correct position according to a b-tree, as opposed to simply adding it to the end of the list of rows in a heap. Using a b-tree could even result in page-splits as the b-tree is populated, so there had better be a reason to use that kind of structure. That all depends on how the data is going to be used in other parts of the plan. If you’ve ever thought that you could use a temporary index for a particular query, well this is it – and the Query Optimizer can do that if it thinks it’s worthwhile. It’s worth noting that just because a Spool is populated using an Index Spool, it can still be fetched using a Table Spool. The details about whether or not a Spool used as a source shows as a Table Spool or an Index Spool is more about whether a Seek predicate is used, rather than on the underlying structure. Recursive CTE I’ve already shown you an example of spooling when the OVER clause is used. You might see them being used whenever you have data that is needed multiple times, and CTEs are quite common here. With the definition of a set of data described in a CTE, if the query writer is leveraging this by referring to the CTE multiple times, and there’s no simplification to be leveraged, a spool could theoretically be used to avoid reapplying the CTE’s logic. Annoyingly, this doesn’t happen. Consider this query, which really looks like it’s using the same data twice. I’m creating a set of data (which is completely deterministic, by the way), and then joining it back to itself. There seems to be no reason why it shouldn’t use a spool for the set described by the CTE, but it doesn’t. On the other hand, if we don’t pull as many columns back, we might see a very different plan. You see, CTEs, like all sub-queries, are simplified out to figure out the best way of executing the whole query. My example is somewhat contrived, and although there are plenty of cases when it’s nice to give the Query Optimizer hints about how to execute queries, it usually doesn’t do a bad job, even without spooling (and you can always use a temporary table). When recursion is used, though, spooling should be expected. Consider what we’re asking for in a recursive CTE. We’re telling the system to construct a set of data using an initial query, and then use set as a source for another query, piping this back into the same set and back around. It’s very much a spool. The analogy of cotton is long gone here, as the idea of having a continual loop of cotton feeding onto a spool and off again doesn’t quite fit, but that’s what we have here. Data is being fed onto the spool, and getting pulled out a second time when the spool is used as a source. (This query is running on AdventureWorks, which has a ManagerID column in HumanResources.Employee, not AdventureWorks2012) The Index Spool operator is sucking rows into it – lazily. It has to be lazy, because at the start, there’s only one row to be had. However, as rows get populated onto the spool, the Table Spool operator on the right can return rows when asked, ending up with more rows (potentially) getting back onto the spool, ready for the next round. (The Assert operator is merely checking to see if we’ve reached the MAXRECURSION point – it vanishes if you use OPTION (MAXRECURSION 0), which you can try yourself if you like). Spools are useful. Don’t lose sight of that. Every time you use temporary tables or table variables in a stored procedure, you’re essentially doing the same – don’t get upset at the Query Optimizer for doing so, even if you think the spool looks like an expensive part of the query. I hope you’re enjoying this T-SQL Tuesday. Why not head over to my post that is hosting it this month to read about some other plan operators? At some point I’ll write a summary post – once I have you should find a comment below pointing at it. @rob_farley

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  • ASP.NET WebAPI Security 5: JavaScript Clients

    - by Your DisplayName here!
    All samples I showed in my last post were in C#. Christian contributed another client sample in some strange language that is supposed to work well in browsers ;) JavaScript client scenarios There are two fundamental scenarios when it comes to JavaScript clients. The most common is probably that the JS code is originating from the same web application that also contains the web APIs. Think a web page that does some AJAX style callbacks to an API that belongs to that web app – Validation, data access etc. come to mind. Single page apps often fall in that category. The good news here is that this scenario just works. The typical course of events is that the user first logs on to the web application – which will result in an authentication cookie of some sort. That cookie will get round-tripped with your AJAX calls and ASP.NET does its magic to establish a client identity context. Since WebAPI inherits the security context from its (web) host, the client identity is also available here. The other fundamental scenario is JavaScript code *not* running in the context of the WebAPI hosting application. This is more or less just like a normal desktop client – either running in the browser, or if you think of Windows 8 Metro style apps as “real” desktop apps. In that scenario we do exactly the same as the samples did in my last post – obtain a token, then use it to call the service. Obtaining a token from IdentityServer’s resource owner credential OAuth2 endpoint could look like this: thinktectureIdentityModel.BrokeredAuthentication = function (stsEndpointAddress, scope) {     this.stsEndpointAddress = stsEndpointAddress;     this.scope = scope; }; thinktectureIdentityModel.BrokeredAuthentication.prototype = function () {     getIdpToken = function (un, pw, callback) {         $.ajax({             type: 'POST',             cache: false,             url: this.stsEndpointAddress,             data: { grant_type: "password", username: un, password: pw, scope: this.scope },             success: function (result) {                 callback(result.access_token);             },             error: function (error) {                 if (error.status == 401) {                     alert('Unauthorized');                 }                 else {                     alert('Error calling STS: ' + error.responseText);                 }             }         });     };     createAuthenticationHeader = function (token) {         var tok = 'IdSrv ' + token;         return tok;     };     return {         getIdpToken: getIdpToken,         createAuthenticationHeader: createAuthenticationHeader     }; } (); Calling the service with the requested token could look like this: function getIdentityClaimsFromService() {     authHeader = authN.createAuthenticationHeader(token);     $.ajax({         type: 'GET',         cache: false,         url: serviceEndpoint,         beforeSend: function (req) {             req.setRequestHeader('Authorization', authHeader);         },         success: function (result) {              $.each(result.Claims, function (key, val) {                 $('#claims').append($('<li>' + val.Value + '</li>'))             });         },         error: function (error) {             alert('Error: ' + error.responseText);         }     }); I updated the github repository, you can can play around with the code yourself.

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  • Web Site Performance and Assembly Versioning

    - by capgpilk
    I originally wanted to write this post in one, but there is quite a large amount of information which can be broken down into different areas, so I am going to publish it in three posts. Minification and Concatination of JavaScript and CSS Files – this post Versioning Combined Files Using Subversion – published shortly Versioning Combined Files Using Mercurial – published shortly Website Performance There are many ways to improve web site performance, two areas are reducing the amount of data that is served up from the web server and reducing the number of files that are requested. Here I will outline the process of minimizing and concatenating your javascript and css files automatically at build time of your visual studio web site/ application. To edit the project file in Visual Studio, you need to first unload it by right clicking the project in Solution Explorer. I prefer to do this in a third party tool such as Notepad++ and save it there forcing VS to reload it each time I make a change as the whole process in Visual Studio can be a bit tedious. Now you have the project file, you will notice that it is an MSBuild project file. I am going to use a fantastic utility from Microsoft called Ajax Minifier. This tool minifies both javascript and css. 1. Import the tasks for AjaxMin choosing the location you installed to. I keep all third party utilities in a Tools directory within my solution structure and source control. This way I know I can get the entire solution from source control without worrying about what other tools I need to get the project to build locally. 1: <Import Project="..\Tools\MicrosoftAjaxMinifier\AjaxMin.tasks" /> 2. Now create ItemGroups for all your js and css files like this. Separating out your non minified files and minified files. This can go in the AfterBuild container. 1: <Target Name="AfterBuild"> 2:  3: <!-- Javascript files that need minimizing --> 4: <ItemGroup> 5: <JSMin Include="Scripts\jqModal.js" /> 6: <JSMin Include="Scripts\jquery.jcarousel.js" /> 7: <JSMin Include="Scripts\shadowbox.js" /> 8: </ItemGroup> 9: <!-- CSS files that need minimizing --> 10: <ItemGroup> 11: <CSSMin Include="Content\Site.css" /> 12: <CSSMin Include="Content\themes\base\jquery-ui.css" /> 13: <CSSMin Include="Content\shadowbox.css" /> 14: </ItemGroup>   1: <!-- Javascript files to combine --> 2: <ItemGroup> 3: <JSCat Include="Scripts\jqModal.min.js" /> 4: <JSCat Include="Scripts\jquery.jcarousel.min.js" /> 5: <JSCat Include="Scripts\shadowbox.min.js" /> 6: </ItemGroup> 7: <!-- CSS files to combine --> 8: <ItemGroup> 9: <CSSCat Include="Content\Site.min.css" /> 10: <CSSCat Include="Content\themes\base\jquery-ui.min.css" /> 11: <CSSCat Include="Content\shadowbox.min.css" /> 12: </ItemGroup>   3. Call AjaxMin to do the crunching. 1: <Message Text="Minimizing JS and CSS Files..." Importance="High" /> 2: <AjaxMin JsSourceFiles="@(JSMin)" JsSourceExtensionPattern="\.js$" 3: JsTargetExtension=".min.js" JsEvalTreatment="MakeImmediateSafe" 4: CssSourceFiles="@(CSSMin)" CssSourceExtensionPattern="\.css$" 5: CssTargetExtension=".min.css" /> This will create the *.min.css and *.min.js files in the same directory the original files were. 4. Now concatenate the minified files into one for javascript and another for css. Here we write out the files with a default file name. In later posts I will cover versioning these files the same as your project assembly again to help performance. 1: <Message Text="Concat JS Files..." Importance="High" /> 2: <ReadLinesFromFile File="%(JSCat.Identity)"> 3: <Output TaskParameter="Lines" ItemName="JSLinesSite" /> 4: </ReadLinesFromFile> 5: <WriteLinestoFile File="Scripts\site-script.combined.min.js" Lines="@(JSLinesSite)" 6: Overwrite="true" /> 7: <Message Text="Concat CSS Files..." Importance="High" /> 8: <ReadLinesFromFile File="%(CSSCat.Identity)"> 9: <Output TaskParameter="Lines" ItemName="CSSLinesSite" /> 10: </ReadLinesFromFile> 11: <WriteLinestoFile File="Content\site-style.combined.min.css" Lines="@(CSSLinesSite)" 12: Overwrite="true" /> 5. Save the project file, if you have Visual Studio open it will ask you to reload the project. You can now run a build and these minified and combined files will be created automatically. 6. Finally reference these minified combined files in your web page. In the next two posts I will cover versioning these files to match your assembly.

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  • Developing a SQL Server Function in a Test-Harness.

    - by Phil Factor
    /* Many times, it is a lot quicker to take some pain up-front and make a proper development/test harness for a routine (function or procedure) rather than think ‘I’m feeling lucky today!’. Then, you keep code and harness together from then on. Every time you run the build script, it runs the test harness too.  The advantage is that, if the test harness persists, then it is much less likely that someone, probably ‘you-in-the-future’  unintentionally breaks the code. If you store the actual code for the procedure as well as the test harness, then it is likely that any bugs in functionality will break the build rather than to introduce subtle bugs later on that could even slip through testing and get into production.   This is just an example of what I mean.   Imagine we had a database that was storing addresses with embedded UK postcodes. We really wouldn’t want that. Instead, we might want the postcode in one column and the address in another. In effect, we’d want to extract the entire postcode string and place it in another column. This might be part of a table refactoring or int could easily be part of a process of importing addresses from another system. We could easily decide to do this with a function that takes in a table as its parameter, and produces a table as its output. This is all very well, but we’d need to work on it, and test it when you make an alteration. By its very nature, a routine like this either works very well or horribly, but there is every chance that you might introduce subtle errors by fidding with it, and if young Thomas, the rather cocky developer who has just joined touches it, it is bound to break.     right, we drop the function we’re developing and re-create it. This is so we avoid the problem of having to change CREATE to ALTER when working on it. */ IF EXISTS(SELECT * FROM sys.objects WHERE name LIKE ‘ExtractPostcode’                                      and schema_name(schema_ID)=‘Dbo’)     DROP FUNCTION dbo.ExtractPostcode GO   /* we drop the user-defined table type and recreate it */ IF EXISTS(SELECT * FROM sys.types WHERE name LIKE ‘AddressesWithPostCodes’                                    and schema_name(schema_ID)=‘Dbo’)   DROP TYPE dbo.AddressesWithPostCodes GO /* we drop the user defined table type and recreate it */ IF EXISTS(SELECT * FROM sys.types WHERE name LIKE ‘OutputFormat’                                    and schema_name(schema_ID)=‘Dbo’)   DROP TYPE dbo.OutputFormat GO   /* and now create the table type that we can use to pass the addresses to the function */ CREATE TYPE AddressesWithPostCodes AS TABLE ( AddressWithPostcode_ID INT IDENTITY PRIMARY KEY, –because they work better that way! Address_ID INT NOT NULL, –the address we are fixing TheAddress VARCHAR(100) NOT NULL –The actual address ) GO CREATE TYPE OutputFormat AS TABLE (   Address_ID INT PRIMARY KEY, –the address we are fixing   TheAddress VARCHAR(1000) NULL, –The actual address   ThePostCode VARCHAR(105) NOT NULL – The Postcode )   GO CREATE FUNCTION ExtractPostcode(@AddressesWithPostCodes AddressesWithPostCodes READONLY)  /** summary:   > This Table-valued function takes a table type as a parameter, containing a table of addresses along with their integer IDs. Each address has an embedded postcode somewhere in it but not consistently in a particular place. The routine takes out the postcode and puts it in its own column, passing back a table where theinteger key is accompanied by the address without the (first) postcode and the postcode. If no postcode, then the address is returned unchanged and the postcode will be a blank string Author: Phil Factor Revision: 1.3 date: 20 May 2014 example:      – code: returns:   > Table of  Address_ID, TheAddress and ThePostCode. **/     RETURNS @FixedAddresses TABLE   (   Address_ID INT, –the address we are fixing   TheAddress VARCHAR(1000) NULL, –The actual address   ThePostCode VARCHAR(105) NOT NULL – The Postcode   ) AS – body of the function BEGIN DECLARE @BlankRange VARCHAR(10) SELECT  @BlankRange = CHAR(0)+‘- ‘+CHAR(160) INSERT INTO @FixedAddresses(Address_ID, TheAddress, ThePostCode) SELECT Address_ID,          CASE WHEN start>0 THEN REPLACE(STUFF([Theaddress],start,matchlength,”),‘  ‘,‘ ‘)             ELSE TheAddress END            AS TheAddress,        CASE WHEN Start>0 THEN SUBSTRING([Theaddress],start,matchlength-1) ELSE ” END AS ThePostCode FROM (–we have a derived table with the results we need for the chopping SELECT MAX(PATINDEX([matched],‘ ‘+[Theaddress] collate SQL_Latin1_General_CP850_Bin)) AS start,         MAX( CASE WHEN PATINDEX([matched],‘ ‘+[Theaddress] collate SQL_Latin1_General_CP850_Bin)>0 THEN TheLength ELSE 0 END) AS matchlength,        MAX(TheAddress) AS TheAddress,        Address_ID FROM (SELECT –first the match, then the length. There are three possible valid matches         ‘%['+@BlankRange+'][A-Z][0-9] [0-9][A-Z][A-Z]%’, 7 –seven character postcode       UNION ALL SELECT ‘%['+@BlankRange+'][A-Z][A-Z0-9][A-Z0-9] [0-9][A-Z][A-Z]%’, 8       UNION ALL SELECT ‘%['+@BlankRange+'][A-Z][A-Z][A-Z0-9][A-Z0-9] [0-9][A-Z][A-Z]%’, 9)      AS f(Matched,TheLength) CROSS JOIN  @AddressesWithPostCodes GROUP BY [address_ID] ) WORK; RETURN END GO ——————————-end of the function————————   IF NOT EXISTS (SELECT * FROM sys.objects WHERE name LIKE ‘ExtractPostcode’)   BEGIN   RAISERROR (‘There was an error creating the function.’,16,1)   RETURN   END   /* now the job is only half done because we need to make sure that it works. So we now load our sample data, making sure that for each Sample, we have what we actually think the output should be. */ DECLARE @InputTable AddressesWithPostCodes INSERT INTO  @InputTable(Address_ID,TheAddress) VALUES(1,’14 Mason mews, Awkward Hill, Bibury, Cirencester, GL7 5NH’), (2,’5 Binney St      Abbey Ward    Buckinghamshire      HP11 2AX UK’), (3,‘BH6 3BE 8 Moor street, East Southbourne and Tuckton W     Bournemouth UK’), (4,’505 Exeter Rd,   DN36 5RP Hawerby cum BeesbyLincolnshire UK’), (5,”), (6,’9472 Lind St,    Desborough    Northamptonshire NN14 2GH  NN14 3GH UK’), (7,’7457 Cowl St, #70      Bargate Ward  Southampton   SO14 3TY UK’), (8,”’The Pippins”, 20 Gloucester Pl, Chirton Ward,   Tyne & Wear   NE29 7AD UK’), (9,’929 Augustine lane,    Staple Hill Ward     South Gloucestershire      BS16 4LL UK’), (10,’45 Bradfield road, Parwich   Derbyshire    DE6 1QN UK’), (11,’63A Northampton St,   Wilmington    Kent   DA2 7PP UK’), (12,’5 Hygeia avenue,      Loundsley Green WardDerbyshire    S40 4LY UK’), (13,’2150 Morley St,Dee Ward      Dumfries and Galloway      DG8 7DE UK’), (14,’24 Bolton St,   Broxburn, Uphall and Winchburg    West Lothian  EH52 5TL UK’), (15,’4 Forrest St,   Weston-Super-Mare    North Somerset       BS23 3HG UK’), (16,’89 Noon St,     Carbrooke     Norfolk       IP25 6JQ UK’), (17,’99 Guthrie St,  New Milton    Hampshire     BH25 5DF UK’), (18,’7 Richmond St,  Parkham       Devon  EX39 5DJ UK’), (19,’9165 laburnum St,     Darnall Ward  Yorkshire, South     S4 7WN UK’)   Declare @OutputTable  OutputFormat  –the table of what we think the correct results should be Declare @IncorrectRows OutputFormat –done for error reporting   –here is the table of what we think the output should be, along with a few edge cases. INSERT INTO  @OutputTable(Address_ID,TheAddress, ThePostcode)     VALUES         (1, ’14 Mason mews, Awkward Hill, Bibury, Cirencester, ‘,‘GL7 5NH’),         (2, ’5 Binney St   Abbey Ward    Buckinghamshire      UK’,‘HP11 2AX’),         (3, ’8 Moor street, East Southbourne and Tuckton W    Bournemouth UK’,‘BH6 3BE’),         (4, ’505 Exeter Rd,Hawerby cum Beesby   Lincolnshire UK’,‘DN36 5RP’),         (5, ”,”),         (6, ’9472 Lind St,Desborough    Northamptonshire NN14 3GH UK’,‘NN14 2GH’),         (7, ’7457 Cowl St, #70    Bargate Ward  Southampton   UK’,‘SO14 3TY’),         (8, ”’The Pippins”, 20 Gloucester Pl, Chirton Ward,Tyne & Wear   UK’,‘NE29 7AD’),         (9, ’929 Augustine lane,  Staple Hill Ward     South Gloucestershire      UK’,‘BS16 4LL’),         (10, ’45 Bradfield road, ParwichDerbyshire    UK’,‘DE6 1QN’),         (11, ’63A Northampton St,Wilmington    Kent   UK’,‘DA2 7PP’),         (12, ’5 Hygeia avenue,    Loundsley Green WardDerbyshire    UK’,‘S40 4LY’),         (13, ’2150 Morley St,     Dee Ward      Dumfries and Galloway      UK’,‘DG8 7DE’),         (14, ’24 Bolton St,Broxburn, Uphall and Winchburg    West Lothian  UK’,‘EH52 5TL’),         (15, ’4 Forrest St,Weston-Super-Mare    North Somerset       UK’,‘BS23 3HG’),         (16, ’89 Noon St,  Carbrooke     Norfolk       UK’,‘IP25 6JQ’),         (17, ’99 Guthrie St,      New Milton    Hampshire     UK’,‘BH25 5DF’),         (18, ’7 Richmond St,      Parkham       Devon  UK’,‘EX39 5DJ’),         (19, ’9165 laburnum St,   Darnall Ward  Yorkshire, South     UK’,‘S4 7WN’)       insert into @IncorrectRows(Address_ID,TheAddress, ThePostcode)        SELECT Address_ID,TheAddress,ThePostCode FROM dbo.ExtractPostcode(@InputTable)       EXCEPT     SELECT Address_ID,TheAddress,ThePostCode FROM @outputTable; If @@RowCount>0        Begin        PRINT ‘The following rows gave ‘;     SELECT Address_ID,TheAddress,ThePostCode FROM @IncorrectRows        RAISERROR (‘These rows gave unexpected results.’,16,1);     end   /* For tear-down, we drop the user defined table type */ IF EXISTS(SELECT * FROM sys.types WHERE name LIKE ‘OutputFormat’                                    and schema_name(schema_ID)=‘Dbo’)   DROP TYPE dbo.OutputFormat GO /* once this is working, the development work turns from a chore into a delight and one ends up hitting execute so much more often to catch mistakes as soon as possible. It also prevents a wildly-broken routine getting into a build! */

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  • Solving Big Problems with Oracle R Enterprise, Part II

    - by dbayard
    Part II – Solving Big Problems with Oracle R Enterprise In the first post in this series (see https://blogs.oracle.com/R/entry/solving_big_problems_with_oracle), we showed how you can use R to perform historical rate of return calculations against investment data sourced from a spreadsheet.  We demonstrated the calculations against sample data for a small set of accounts.  While this worked fine, in the real-world the problem is much bigger because the amount of data is much bigger.  So much bigger that our approach in the previous post won’t scale to meet the real-world needs. From our previous post, here are the challenges we need to conquer: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In this post, we will show how we moved from sample data environment to working with full-scale data.  This post is based on actual work we did for a financial services customer during a recent proof-of-concept. Getting started with the Database At this point, we have some sample data and our IRR function.  We were at a similar point in our customer proof-of-concept exercise- we had sample data but we did not have the full customer data yet.  So our database was empty.  But, this was easily rectified by leveraging the transparency features of Oracle R Enterprise (see https://blogs.oracle.com/R/entry/analyzing_big_data_using_the).  The following code shows how we took our sample data SimpleMWRRData and easily turned it into a new Oracle database table called IRR_DATA via ore.create().  The code also shows how we can access the database table IRR_DATA as if it was a normal R data.frame named IRR_DATA. If we go to sql*plus, we can also check out our new IRR_DATA table: At this point, we now have our sample data loaded in the database as a normal Oracle table called IRR_DATA.  So, we now proceeded to test our R function working with database data. As our first test, we retrieved the data from a single account from the IRR_DATA table, pull it into local R memory, then call our IRR function.  This worked.  No SQL coding required! Going from Crawling to Walking Now that we have shown using our R code with database-resident data for a single account, we wanted to experiment with doing this for multiple accounts.  In other words, we wanted to implement the split-apply-combine technique we discussed in our first post in this series.  Fortunately, Oracle R Enterprise provides a very scalable way to do this with a function called ore.groupApply().  You can read more about ore.groupApply() here: https://blogs.oracle.com/R/entry/analyzing_big_data_using_the1 Here is an example of how we ask ORE to take our IRR_DATA table in the database, split it by the ACCOUNT column, apply a function that calls our SimpleMWRR() calculation, and then combine the results. (If you are following along at home, be sure to have installed our myIRR package on your database server via  “R CMD INSTALL myIRR”). The interesting thing about ore.groupApply is that the calculation is not actually performed in my desktop R environment from which I am running.  What actually happens is that ore.groupApply uses the Oracle database to perform the work.  And the Oracle database is what actually splits the IRR_DATA table by ACCOUNT.  Then the Oracle database takes the data for each account and sends it to an embedded R engine running on the database server to apply our R function.  Then the Oracle database combines all the individual results from the calls to the R function. This is significant because now the embedded R engine only needs to deal with the data for a single account at a time.  Regardless of whether we have 20 accounts or 1 million accounts or more, the R engine that performs the calculation does not care.  Given that normal R has a finite amount of memory to hold data, the ore.groupApply approach overcomes the R memory scalability problem since we only need to fit the data from a single account in R memory (not all of the data for all of the accounts). Additionally, the IRR_DATA does not need to be sent from the database to my desktop R program.  Even though I am invoking ore.groupApply from my desktop R program, because the actual SimpleMWRR calculation is run by the embedded R engine on the database server, the IRR_DATA does not need to leave the database server- this is both a performance benefit because network transmission of large amounts of data take time and a security benefit because it is harder to protect private data once you start shipping around your intranet. Another benefit, which we will discuss in a few paragraphs, is the ability to leverage Oracle database parallelism to run these calculations for dozens of accounts at once. From Walking to Running ore.groupApply is rather nice, but it still has the drawback that I run this from a desktop R instance.  This is not ideal for integrating into typical operational processes like nightly data warehouse refreshes or monthly statement generation.  But, this is not an issue for ORE.  Oracle R Enterprise lets us run this from the database using regular SQL, which is easily integrated into standard operations.  That is extremely exciting and the way we actually did these calculations in the customer proof. As part of Oracle R Enterprise, it provides a SQL equivalent to ore.groupApply which it refers to as “rqGroupEval”.  To use rqGroupEval via SQL, there is a bit of simple setup needed.  Basically, the Oracle Database needs to know the structure of the input table and the grouping column, which we are able to define using the database’s pipeline table function mechanisms. Here is the setup script: At this point, our initial setup of rqGroupEval is done for the IRR_DATA table.  The next step is to define our R function to the database.  We do that via a call to ORE’s rqScriptCreate. Now we can test it.  The SQL you use to run rqGroupEval uses the Oracle database pipeline table function syntax.  The first argument to irr_dataGroupEval is a cursor defining our input.  You can add additional where clauses and subqueries to this cursor as appropriate.  The second argument is any additional inputs to the R function.  The third argument is the text of a dummy select statement.  The dummy select statement is used by the database to identify the columns and datatypes to expect the R function to return.  The fourth argument is the column of the input table to split/group by.  The final argument is the name of the R function as you defined it when you called rqScriptCreate(). The Real-World Results In our real customer proof-of-concept, we had more sophisticated calculation requirements than shown in this simplified blog example.  For instance, we had to perform the rate of return calculations for 5 separate time periods, so the R code was enhanced to do so.  In addition, some accounts needed a time-weighted rate of return to be calculated, so we extended our approach and added an R function to do that.  And finally, there were also a few more real-world data irregularities that we needed to account for, so we added logic to our R functions to deal with those exceptions.  For the full-scale customer test, we loaded the customer data onto a Half-Rack Exadata X2-2 Database Machine.  As our half-rack had 48 physical cores (and 96 threads if you consider hyperthreading), we wanted to take advantage of that CPU horsepower to speed up our calculations.  To do so with ORE, it is as simple as leveraging the Oracle Database Parallel Query features.  Let’s look at the SQL used in the customer proof: Notice that we use a parallel hint on the cursor that is the input to our rqGroupEval function.  That is all we need to do to enable Oracle to use parallel R engines. Here are a few screenshots of what this SQL looked like in the Real-Time SQL Monitor when we ran this during the proof of concept (hint: you might need to right-click on these images to be able to view the images full-screen to see the entire image): From the above, you can notice a few things (numbers 1 thru 5 below correspond with highlighted numbers on the images above.  You may need to right click on the above images and view the images full-screen to see the entire image): The SQL completed in 110 seconds (1.8minutes) We calculated rate of returns for 5 time periods for each of 911k accounts (the number of actual rows returned by the IRRSTAGEGROUPEVAL operation) We accessed 103m rows of detailed cash flow/market value data (the number of actual rows returned by the IRR_STAGE2 operation) We ran with 72 degrees of parallelism spread across 4 database servers Most of our 110seconds was spent in the “External Procedure call” event On average, we performed 8,200 executions of our R function per second (110s/911k accounts) On average, each execution was passed 110 rows of data (103m detail rows/911k accounts) On average, we did 41,000 single time period rate of return calculations per second (each of the 8,200 executions of our R function did rate of return calculations for 5 time periods) On average, we processed over 900,000 rows of database data in R per second (103m detail rows/110s) R + Oracle R Enterprise: Best of R + Best of Oracle Database This blog post series started by describing a real customer problem: how to perform a lot of calculations on a lot of data in a short period of time.  While standard R proved to be a very good fit for writing the necessary calculations, the challenge of working with a lot of data in a short period of time remained. This blog post series showed how Oracle R Enterprise enables R to be used in conjunction with the Oracle Database to overcome the data volume and performance issues (as well as simplifying the operations and security issues).  It also showed that we could calculate 5 time periods of rate of returns for almost a million individual accounts in less than 2 minutes. In a future post, we will take the same R function and show how Oracle R Connector for Hadoop can be used in the Hadoop world.  In that next post, instead of having our data in an Oracle database, our data will live in Hadoop and we will how to use the Oracle R Connector for Hadoop and other Oracle Big Data Connectors to move data between Hadoop, R, and the Oracle Database easily.

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  • CodePlex Daily Summary for Wednesday, August 15, 2012

    CodePlex Daily Summary for Wednesday, August 15, 2012Popular ReleasesTFS Workbench: TFS Workbench v2.2.0.10: Compiled installers for TFS Workbench 2.2.0.10 Bug Fix Fixed bug that stopped the change workspace action from working.MoltenMercury: MoltenMercury 1.0 beta 1: This is initial implementation of the MoltenMercury with everything running but not throughoutly tested. Release contains a zip file with program binaries and a zip file containing resources. Before using please create a new directory named data in the same directory with program executables and extract DefaultCharacter zip file in there. If you have ???????????, you can simply place executables into the same directory with the program mentioned above. MoltenMercury supports character resour...SharePoint Column & View Permission: SharePoint Column and View Permission v1.0: Version 1.0 of this project. If you will find any bugs please let me know at enti@zoznam.sk or post your findings in Issue TrackerSPListViewFilter: Version 1.6: Layout selection: http://blog.vitalyzhukov.ru/imagelibrary/120815/Settings_Layouts.pngConsoleHoster: ConsoleHoster Version 1.2: Cleanup some logging UI impreovements: Fixed the bug with _ character in project-name Fixed the bug with tab close button to be X style Fixed the style of search content bar Fixed the bug with disappearing Edit project window Moved the Clear History button to the taskbar and added also a menu item Changed the QC button to CH Applied project colors to tab headersMicrosoft Ajax Minifier: Microsoft Ajax Minifier 4.60: Allow for CSS3 grid-column and grid-row repeat syntax. Provide option for -analyze scope-report output to be in XML for easier programmatic processing; also allow for report to be saved to a separate output file.Diablo III Drop Statistics Service: 1.0: Client OnlyClosedXML - The easy way to OpenXML: ClosedXML 0.67.2: v0.67.2 Fix when copying conditional formats with relative formulas v0.67.1 Misc fixes to the conditional formats v0.67.0 Conditional formats now accept formulas. Major performance improvement when opening files with merged ranges. Misc fixes.Umbraco CMS: Umbraco 4.8.1: Whats newBug fixes: Fixed: When upgrading to 4.8.0, the database upgrade didn't run Update: unfortunately, upgrading with SQLCE is problematic, there's a workaround here: http://bit.ly/TEmMJN The changes to the <imaging> section in umbracoSettings.config caused errors when you didn't apply them during the upgrade. Defaults will now be used if any keys are missing Scheduled unpublishes now only unpublishes nodes set to published rather than newest Work item: 30937 - Fixed problem with Fi...MySqlBackup.NET - MySQL Backup Solution for C#, VB.NET, ASP.NET: MySqlBackup.NET 1.4.4 Beta: MySqlBackup.NET 1.4.4 beta Fix bug: If the target database's default character set is not UTF8, UTF8 character will be encoded wrongly during Import. Now, database default character set will be recorded into Dump File at line of "SET NAMES". During import(restore), MySqlBackup will again detect and use the target database default character char set. MySqlBackup.NET 1.4.2 beta Fix bug: MySqlConnection is not closed when AutoCloseConnection set to true after Export or Import completed/halted. M...patterns & practices - Unity: Unity 3.0 for .NET 4.5 and WinRT - Preview: The Unity 3.0.1208.0 Preview enables Unity to work on .NET 4.5 with both the WinRT and desktop profiles. This is an updated version of the port after the .NET Framework 4.5 and Windows 8 have RTM'ed. Please see the Release Notes Providing feedback Post your feedback on the Unity forum Submit and vote on new features for Unity on our Uservoice site.LiteBlog (MVC): LiteBlog 1.31: Features of this release Windows8 styled UI Namespace and code refactoring Resolved the deployment issues in the previous release Added documentation Help file Help file is HTML based built using SandCastle Help file works in all browsers except IE10Self-Tracking Entity Generator for WPF and Silverlight: Self-Tracking Entity Generator v 2.0.0 for VS11: Self-Tracking Entity Generator for WPF and Silverlight v 2.0.0 for Entity Framework 5.0 and Visual Studio 2012Coding4Fun Tools: Coding4Fun.Phone.Toolkit v1.6.0: New Stuff ImageTile Control - think People Tile MicrophoneRecorder - Coding4Fun.Phone.Audio GzipWebClient - Coding4Fun.Phone.Net Serialize - Coding4Fun.Phone.Storage this is code I've written countless times. JSON.net is another alternative ChatBubbleTextBox - Added in Hint TimeSpan languages added: Pl Bug Fixes RoundToggleButton - Enable Visual State not being respected OpacityToggleButton - Enable Visual State not being respected Prompts VS Crash fix for IsPrompt=true More...AssaultCube Reloaded: 2.5.2 Unnamed: Linux has Ubuntu 11.10 32-bit precompiled binaries and Ubuntu 10.10 64-bit precompiled binaries, but you can compile your own as it also contains the source. If you are using Mac or other operating systems, please wait while we try to pack it. Try to compile it. If it fails, download a virtual machine. The server pack is ready for both Windows and Linux, but you might need to compile your own for Linux (source included) Added 3rd person Added mario jumps Fixed nextprimary code exploit ...NPOI: NPOI 2.0: New features a. Implement OpenXml4Net (same as System.Packaging from Microsoft). It supports both .NET 2.0 and .NET 4.0 b. Excel 2007 read/write library (NPOI.XSSF) c. Word 2007 read/write library(NPOI.XWPF) d. NPOI.SS namespace becomes the interface shared between XSSF and HSSF e. Load xlsx template and save as new xlsx file (partially supported) f. Diagonal line in cell both in xls and xlsx g. Support isRightToLeft and setRightToLeft on the common spreadsheet Sheet interface, as per existin...BugNET Issue Tracker: BugNET 1.1: This release includes bug fixes from the 1.0 release for email notifications, RSS feeds, and several other issues. Please see the change log for a full list of changes. http://support.bugnetproject.com/Projects/ReleaseNotes.aspx?pid=1&m=76 Upgrade Notes The following changes to the web.config in the profile section have occurred: Removed <add name="NotificationTypes" type="String" defaultValue="Email" customProviderData="NotificationTypes;nvarchar;255" />Added <add name="ReceiveEmailNotifi...????: ????2.0.5: 1、?????????????。RiP-Ripper & PG-Ripper: PG-Ripper 1.4.01: changes NEW: Added Support for Clipboard Function in Mono Version NEW: Added Support for "ImgBox.com" links FIXED: "PixHub.eu" links FIXED: "ImgChili.com" links FIXED: Kitty-Kats Forum loginPlayer Framework by Microsoft: Player Framework for Windows 8 (Preview 5): Support for Smooth Streaming SDK beta 2 Support for live playback New bitrate meter and SD/HD indicators Auto smooth streaming track restriction for snapped mode to conserve bandwidth New "Go Live" button and SeekToLive API Support for offset start times Support for Live position unique from end time Support for multiple audio streams (smooth and progressive content) Improved intellisense in JS version Support for Windows 8 RTM ADDITIONAL DOWNLOADSSmooth Streaming Client SD...New ProjectsA Java Open Platform: A Java Open PlatformAutomation Tools: noneAzManPermissions: Allows AzMan (Authorization Manager) operation permission checks declaratively and imperatively. It can connect to AzMan stores directly or through a service.Configuration Manager 2012 Automation: Configuration Manager 2012 Automation is a powershell project to help perform the basic implementation of a CM12 infrastructure...Dynamicweb Blog Engine 2012: A simple blog engine built on Dynamicweb.E Lixo: Projeto E_LIXOEasy Windows Service Manager: Easy Windows Service Manager (ewsm) is a desktop utility that enables the easily management of Windows services. flexwork: A Flex Pluggable Extension FrameworkGit On Codeplex: Just trying git on CodePlexGT.BlogBox: Blogsite-Webtemplate for SharePoint 2010gvPoco: gvPoco is a .NET class library for the Google Visualization Charts API. IAllenSoft: IAllenSoft is a silverlight control library, which originates from some idea. Its target is to improve development productivity for silverlight projects. ListNetRanker: ListNetRanker is a listwise ranker based on machine learning. Given documents and query's feature set, ListNetRanker will rank these documents by ranking score.lvyao: stillMetro Tic-Tac-Toe: Tic-Tac-Toe is a Windows 8 developed using MonoGame for Windows 8. The intent of this code is to help XNA developers with porting their XNA apps to Windows 8myProject: my private code Nintemulator: Nintemulator is a work in progress multi-system emulator. Plans for emulated systems are NES, SNES, GB/GBC, GBA.Picnic Game: Picnic Game is a 2D game written in Small Basic. The objective is to get the pizza to the basket before you get stung or time runs out.Picnic Level Editor: Picnic Game is a 2D 3rd person game where you are an ant, and you have to gather the pizza and bring it to the basket before you get stung by a bee.ResCom: ResCom is a community response system for Windows Phone 8Scalable Object Persistence (SOP) Framework: Scalable object persistence (SOP) framework. RDBMS "index" like performance and scale on data Stores but without the unnecessary baggage, fine grained control.self-balancing-avl-tree: Self balancing AVL tree with Concat and Split operations.SEMS(synthetical evaluation management system): that's itsergionadal-mvc: Mvc para sistemas AndroidTFS Test Plan Builder: TFS Test plan builder is a tool to assis users of Microst Test Manager to build new test plans then moving from sprint to sprint or release to release The Excel Library: DExcelLibrary is a project that allows you to load and display "any" excel file given a specificaction of with areas/grids to loadTimePunch Metro Wpf Library: This library contains WPF controls and MVVM Implementation to create touch optimized applications in the new Windows 8 UI style formerly known as "Metro". UniPie: UniPie is a system wide pie menu system for sending key-mouse button combinations to certain applications. It can also convert one combo to another.xref: This is an extension of the classic FizzBuzz problem.ZombieRPG: Basic Zombie RPG game made using Game Maker??????: ZHJP

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  • My vertex shader doesn't affect texture coords or diffuse info but works for position

    - by tina nyaa
    I am new to 3D and DirectX - in the past I have only used abstractions for 2D drawing. Over the past month I've been studying really hard and I'm trying to modify and adapt some of the shaders as part of my personal 'study project'. Below I have a shader, modified from one of the Microsoft samples. I set diffuse and tex0 vertex shader outputs to zero, but my model still shows the full texture and lighting as if I hadn't changed the values from the vertex buffer. Changing the position of the model works, but nothing else. Why is this? // // Skinned Mesh Effect file // Copyright (c) 2000-2002 Microsoft Corporation. All rights reserved. // float4 lhtDir = {0.0f, 0.0f, -1.0f, 1.0f}; //light Direction float4 lightDiffuse = {0.6f, 0.6f, 0.6f, 1.0f}; // Light Diffuse float4 MaterialAmbient : MATERIALAMBIENT = {0.1f, 0.1f, 0.1f, 1.0f}; float4 MaterialDiffuse : MATERIALDIFFUSE = {0.8f, 0.8f, 0.8f, 1.0f}; // Matrix Pallette static const int MAX_MATRICES = 100; float4x3 mWorldMatrixArray[MAX_MATRICES] : WORLDMATRIXARRAY; float4x4 mViewProj : VIEWPROJECTION; /////////////////////////////////////////////////////// struct VS_INPUT { float4 Pos : POSITION; float4 BlendWeights : BLENDWEIGHT; float4 BlendIndices : BLENDINDICES; float3 Normal : NORMAL; float3 Tex0 : TEXCOORD0; }; struct VS_OUTPUT { float4 Pos : POSITION; float4 Diffuse : COLOR; float2 Tex0 : TEXCOORD0; }; float3 Diffuse(float3 Normal) { float CosTheta; // N.L Clamped CosTheta = max(0.0f, dot(Normal, lhtDir.xyz)); // propogate scalar result to vector return (CosTheta); } VS_OUTPUT VShade(VS_INPUT i, uniform int NumBones) { VS_OUTPUT o; float3 Pos = 0.0f; float3 Normal = 0.0f; float LastWeight = 0.0f; // Compensate for lack of UBYTE4 on Geforce3 int4 IndexVector = D3DCOLORtoUBYTE4(i.BlendIndices); // cast the vectors to arrays for use in the for loop below float BlendWeightsArray[4] = (float[4])i.BlendWeights; int IndexArray[4] = (int[4])IndexVector; // calculate the pos/normal using the "normal" weights // and accumulate the weights to calculate the last weight for (int iBone = 0; iBone < NumBones-1; iBone++) { LastWeight = LastWeight + BlendWeightsArray[iBone]; Pos += mul(i.Pos, mWorldMatrixArray[IndexArray[iBone]]) * BlendWeightsArray[iBone]; Normal += mul(i.Normal, mWorldMatrixArray[IndexArray[iBone]]) * BlendWeightsArray[iBone]; } LastWeight = 1.0f - LastWeight; // Now that we have the calculated weight, add in the final influence Pos += (mul(i.Pos, mWorldMatrixArray[IndexArray[NumBones-1]]) * LastWeight); Normal += (mul(i.Normal, mWorldMatrixArray[IndexArray[NumBones-1]]) * LastWeight); // transform position from world space into view and then projection space //o.Pos = mul(float4(Pos.xyz, 1.0f), mViewProj); o.Pos = mul(float4(Pos.xyz, 1.0f), mViewProj); o.Diffuse.x = 0.0f; o.Diffuse.y = 0.0f; o.Diffuse.z = 0.0f; o.Diffuse.w = 0.0f; o.Tex0 = float2(0,0); return o; } technique t0 { pass p0 { VertexShader = compile vs_3_0 VShade(4); } } I am currently using the SlimDX .NET wrapper around DirectX, but the API is extremely similar: public void Draw() { var device = vertexBuffer.Device; device.Clear(ClearFlags.Target | ClearFlags.ZBuffer, Color.White, 1.0f, 0); device.SetRenderState(RenderState.Lighting, true); device.SetRenderState(RenderState.DitherEnable, true); device.SetRenderState(RenderState.ZEnable, true); device.SetRenderState(RenderState.CullMode, Cull.Counterclockwise); device.SetRenderState(RenderState.NormalizeNormals, true); device.SetSamplerState(0, SamplerState.MagFilter, TextureFilter.Anisotropic); device.SetSamplerState(0, SamplerState.MinFilter, TextureFilter.Anisotropic); device.SetTransform(TransformState.World, Matrix.Identity * Matrix.Translation(0, -50, 0)); device.SetTransform(TransformState.View, Matrix.LookAtLH(new Vector3(-200, 0, 0), Vector3.Zero, Vector3.UnitY)); device.SetTransform(TransformState.Projection, Matrix.PerspectiveFovLH((float)Math.PI / 4, (float)device.Viewport.Width / device.Viewport.Height, 10, 10000000)); var material = new Material(); material.Ambient = material.Diffuse = material.Emissive = material.Specular = new Color4(Color.White); material.Power = 1f; device.SetStreamSource(0, vertexBuffer, 0, vertexSize); device.VertexDeclaration = vertexDeclaration; device.Indices = indexBuffer; device.Material = material; device.SetTexture(0, texture); var param = effect.GetParameter(null, "mWorldMatrixArray"); var boneWorldTransforms = bones.OrderedBones.OrderBy(x => x.Id).Select(x => x.CombinedTransformation).ToArray(); effect.SetValue(param, boneWorldTransforms); effect.SetValue(effect.GetParameter(null, "mViewProj"), Matrix.Identity);// Matrix.PerspectiveFovLH((float)Math.PI / 4, (float)device.Viewport.Width / device.Viewport.Height, 10, 10000000)); effect.SetValue(effect.GetParameter(null, "MaterialDiffuse"), material.Diffuse); effect.SetValue(effect.GetParameter(null, "MaterialAmbient"), material.Ambient); effect.Technique = effect.GetTechnique(0); var passes = effect.Begin(FX.DoNotSaveState); for (var i = 0; i < passes; i++) { effect.BeginPass(i); device.DrawIndexedPrimitives(PrimitiveType.TriangleList, 0, 0, skin.Vertices.Length, 0, skin.Indicies.Length / 3); effect.EndPass(); } effect.End(); } Again, I set diffuse and tex0 vertex shader outputs to zero, but my model still shows the full texture and lighting as if I hadn't changed the values from the vertex buffer. Changing the position of the model works, but nothing else. Why is this? Also, whatever I set in the bone transformation matrices doesn't seem to have an effect on my model. If I set every bone transformation to a zero matrix, the model still shows up as if nothing had happened, but changing the Pos field in shader output makes the model disappear. I don't understand why I'm getting this kind of behaviour. Thank you!

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  • Developing Schema Compare for Oracle (Part 2): Dependencies

    - by Simon Cooper
    In developing Schema Compare for Oracle, one of the issues we came across was the size of the databases. As detailed in my last blog post, we had to allow schema pre-filtering due to the number of objects in a standard Oracle database. Unfortunately, this leads to some quite tricky situations regarding object dependencies. This post explains how we deal with these dependencies. 1. Cross-schema dependencies Say, in the following database, you're populating SchemaA, and synchronizing SchemaA.Table1: SOURCE   TARGET CREATE TABLE SchemaA.Table1 ( Col1 NUMBER REFERENCES SchemaB.Table1(Col1));   CREATE TABLE SchemaA.Table1 ( Col1 VARCHAR2(100) REFERENCES SchemaB.Table1(Col1)); CREATE TABLE SchemaB.Table1 ( Col1 NUMBER PRIMARY KEY);   CREATE TABLE SchemaB.Table1 ( Col1 VARCHAR2(100) PRIMARY KEY); We need to do a rebuild of SchemaA.Table1 to change Col1 from a VARCHAR2(100) to a NUMBER. This consists of: Creating a table with the new schema Inserting data from the old table to the new table, with appropriate conversion functions (in this case, TO_NUMBER) Dropping the old table Rename new table to same name as old table Unfortunately, in this situation, the rebuild will fail at step 1, as we're trying to create a NUMBER column with a foreign key reference to a VARCHAR2(100) column. As we're only populating SchemaA, the naive implementation of the object population prefiltering (sticking a WHERE owner = 'SCHEMAA' on all the data dictionary queries) will generate an incorrect sync script. What we actually have to do is: Drop foreign key constraint on SchemaA.Table1 Rebuild SchemaB.Table1 Rebuild SchemaA.Table1, adding the foreign key constraint to the new table This means that in order to generate a correct synchronization script for SchemaA.Table1 we have to know what SchemaB.Table1 is, and that it also needs to be rebuilt to successfully rebuild SchemaA.Table1. SchemaB isn't the schema that the user wants to synchronize, but we still have to load the table and column information for SchemaB.Table1 the same way as any table in SchemaA. Fortunately, Oracle provides (mostly) complete dependency information in the dictionary views. Before we actually read the information on all the tables and columns in the database, we can get dependency information on all the objects that are either pointed at by objects in the schemas we’re populating, or point to objects in the schemas we’re populating (think about what would happen if SchemaB was being explicitly populated instead), with a suitable query on all_constraints (for foreign key relationships) and all_dependencies (for most other types of dependencies eg a function using another function). The extra objects found can then be included in the actual object population, and the sync wizard then has enough information to figure out the right thing to do when we get to actually synchronize the objects. Unfortunately, this isn’t enough. 2. Dependency chains The solution above will only get the immediate dependencies of objects in populated schemas. What if there’s a chain of dependencies? A.tbl1 -> B.tbl1 -> C.tbl1 -> D.tbl1 If we’re only populating SchemaA, the implementation above will only include B.tbl1 in the dependent objects list, whereas we might need to know about C.tbl1 and D.tbl1 as well, in order to ensure a modification on A.tbl1 can succeed. What we actually need is a graph traversal on the dependency graph that all_dependencies represents. Fortunately, we don’t have to read all the database dependency information from the server and run the graph traversal on the client computer, as Oracle provides a method of doing this in SQL – CONNECT BY. So, we can put all the dependencies we want to include together in big bag with UNION ALL, then run a SELECT ... CONNECT BY on it, starting with objects in the schema we’re populating. We should end up with all the objects that might be affected by modifications in the initial schema we’re populating. Good solution? Well, no. For one thing, it’s sloooooow. all_dependencies, on my test databases, has got over 110,000 rows in it, and the entire query, for which Oracle was creating a temporary table to hold the big bag of graph edges, was often taking upwards of two minutes. This is too long, and would only get worse for large databases. But it had some more fundamental problems than just performance. 3. Comparison dependencies Consider the following schema: SOURCE   TARGET CREATE TABLE SchemaA.Table1 ( Col1 NUMBER REFERENCES SchemaB.Table1(col1));   CREATE TABLE SchemaA.Table1 ( Col1 VARCHAR2(100)); CREATE TABLE SchemaB.Table1 ( Col1 NUMBER PRIMARY KEY);   CREATE TABLE SchemaB.Table1 ( Col1 VARCHAR2(100)); What will happen if we used the dependency algorithm above on the source & target database? Well, SchemaA.Table1 has a foreign key reference to SchemaB.Table1, so that will be included in the source database population. On the target, SchemaA.Table1 has no such reference. Therefore SchemaB.Table1 will not be included in the target database population. In the resulting comparison of the two objects models, what you will end up with is: SOURCE  TARGET SchemaA.Table1 -> SchemaA.Table1 SchemaB.Table1 -> (no object exists) When this comparison is synchronized, we will see that SchemaB.Table1 does not exist, so we will try the following sequence of actions: Create SchemaB.Table1 Rebuild SchemaA.Table1, with foreign key to SchemaB.Table1 Oops. Because the dependencies are only followed within a single database, we’ve tried to create an object that already exists. To fix this we can include any objects found as dependencies in the source or target databases in the object population of both databases. SchemaB.Table1 will then be included in the target database population, and we won’t try and create objects that already exist. All good? Well, consider the following schema (again, only explicitly populating SchemaA, and synchronizing SchemaA.Table1): SOURCE   TARGET CREATE TABLE SchemaA.Table1 ( Col1 NUMBER REFERENCES SchemaB.Table1(col1));   CREATE TABLE SchemaA.Table1 ( Col1 VARCHAR2(100)); CREATE TABLE SchemaB.Table1 ( Col1 NUMBER PRIMARY KEY);   CREATE TABLE SchemaB.Table1 ( Col1 VARCHAR2(100) PRIMARY KEY); CREATE TABLE SchemaC.Table1 ( Col1 NUMBER);   CREATE TABLE SchemaC.Table1 ( Col1 VARCHAR2(100) REFERENCES SchemaB.Table1); Although we’re now including SchemaB.Table1 on both sides of the comparison, there’s a third table (SchemaC.Table1) that we don’t know about that will cause the rebuild of SchemaB.Table1 to fail if we try and synchronize SchemaA.Table1. That’s because we’re only running the dependency query on the schemas we’re explicitly populating; to solve this issue, we would have to run the dependency query again, but this time starting the graph traversal from the objects found in the other database. Furthermore, this dependency chain could be arbitrarily extended.This leads us to the following algorithm for finding all the dependencies of a comparison: Find initial dependencies of schemas the user has selected to compare on the source and target Include these objects in both the source and target object populations Run the dependency query on the source, starting with the objects found as dependents on the target, and vice versa Repeat 2 & 3 until no more objects are found For the schema above, this will result in the following sequence of actions: Find initial dependenciesSchemaA.Table1 -> SchemaB.Table1 found on sourceNo objects found on target Include objects in both source and targetSchemaB.Table1 included in source and target Run dependency query, starting with found objectsNo objects to start with on sourceSchemaB.Table1 -> SchemaC.Table1 found on target Include objects in both source and targetSchemaC.Table1 included in source and target Run dependency query on found objectsNo objects found in sourceNo objects to start with in target Stop This will ensure that we include all the necessary objects to make any synchronization work. However, there is still the issue of query performance; the CONNECT BY on the entire database dependency graph is still too slow. After much sitting down and drawing complicated diagrams, we decided to move the graph traversal algorithm from the server onto the client (which turned out to run much faster on the client than on the server); and to ensure we don’t read the entire dependency graph onto the client we also pull the graph across in bits – we start off with dependency edges involving schemas selected for explicit population, and whenever the graph traversal comes across a dependency reference to a schema we don’t yet know about a thunk is hit that pulls in the dependency information for that schema from the database. We continue passing more dependent objects back and forth between the source and target until no more dependency references are found. This gives us the list of all the extra objects to populate in the source and target, and object population can then proceed. 4. Object blacklists and fast dependencies When we tested this solution, we were puzzled in that in some of our databases most of the system schemas (WMSYS, ORDSYS, EXFSYS, XDB, etc) were being pulled in, and this was increasing the database registration and comparison time quite significantly. After debugging, we discovered that the culprits were database tables that used one of the Oracle PL/SQL types (eg the SDO_GEOMETRY spatial type). These were creating a dependency chain from the database tables we were populating to the system schemas, and hence pulling in most of the system objects in that schema. To solve this we introduced blacklists of objects we wouldn’t follow any dependency chain through. As well as the Oracle-supplied PL/SQL types (MDSYS.SDO_GEOMETRY, ORDSYS.SI_COLOR, among others) we also decided to blacklist the entire PUBLIC and SYS schemas, as any references to those would likely lead to a blow up in the dependency graph that would massively increase the database registration time, and could result in the client running out of memory. Even with these improvements, each dependency query was taking upwards of a minute. We discovered from Oracle execution plans that there were some columns, with dependency information we required, that were querying system tables with no indexes on them! To cut a long story short, running the following query: SELECT * FROM all_tab_cols WHERE data_type_owner = ‘XDB’; results in a full table scan of the SYS.COL$ system table! This single clause was responsible for over half the execution time of the dependency query. Hence, the ‘Ignore slow dependencies’ option was born – not querying this and a couple of similar clauses to drastically speed up the dependency query execution time, at the expense of producing incorrect sync scripts in rare edge cases. Needless to say, along with the sync script action ordering, the dependency code in the database registration is one of the most complicated and most rewritten parts of the Schema Compare for Oracle engine. The beta of Schema Compare for Oracle is out now; if you find a bug in it, please do tell us so we can get it fixed!

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  • how to define a field of view for the entire map for shadow?

    - by Mehdi Bugnard
    I recently added "Shadow Mapping" in my XNA games to include shadows. I followed the nice and famous tutorial from "Riemers" : http://www.riemers.net/eng/Tutorials/XNA/Csharp/Series3/Shadow_map.php . This code work nice and I can see my source of light and shadow. But the problem is that my light source does not match the field of view that I created. I want the light covers the entire map of my game. I don't know why , but the light only affect 2-3 cubes of my map. ScreenShot: (the emission of light illuminates only 2-3 blocks and not the full map) Here is my code i create the fieldOfView for LightviewProjection Matrix: Vector3 lightDir = new Vector3(10, 52, 10); lightPos = new Vector3(10, 52, 10); Matrix lightsView = Matrix.CreateLookAt(lightPos, new Vector3(105, 50, 105), new Vector3(0, 1, 0)); Matrix lightsProjection = Matrix.CreatePerspectiveFieldOfView(MathHelper.PiOver2, 1f, 20f, 1000f); lightsViewProjectionMatrix = lightsView * lightsProjection; As you can see , my nearPlane and FarPlane are set to 20f and 100f . So i don't know why the light stop after 2 cubes. it's should be bigger Here is set the value to my custom effect HLSL in the shader file /* SHADOW VALUE */ effectWorld.Parameters["LightDirection"].SetValue(lightDir); effectWorld.Parameters["xLightsWorldViewProjection"].SetValue(Matrix.Identity * .lightsViewProjectionMatrix); effectWorld.Parameters["xWorldViewProjection"].SetValue(Matrix.Identity * arcadia.camera.View * arcadia.camera.Projection); effectWorld.Parameters["xLightPower"].SetValue(1f); effectWorld.Parameters["xAmbient"].SetValue(0.3f); Here is my custom HLSL shader effect file "*.fx" // This sample uses a simple Lambert lighting model. float3 LightDirection = normalize(float3(-1, -1, -1)); float3 DiffuseLight = 1.25; float3 AmbientLight = 0.25; uniform const float3 DiffuseColor = 1; uniform const float Alpha = 1; uniform const float3 EmissiveColor = 0; uniform const float3 SpecularColor = 1; uniform const float SpecularPower = 16; uniform const float3 EyePosition; // FOG attribut uniform const float FogEnabled ; uniform const float FogStart ; uniform const float FogEnd ; uniform const float3 FogColor ; float3 cameraPos : CAMERAPOS; texture Texture; sampler Sampler = sampler_state { Texture = (Texture); magfilter = LINEAR; minfilter = LINEAR; mipfilter = LINEAR; AddressU = mirror; AddressV = mirror; }; texture xShadowMap; sampler ShadowMapSampler = sampler_state { Texture = <xShadowMap>; magfilter = LINEAR; minfilter = LINEAR; mipfilter = LINEAR; AddressU = clamp; AddressV = clamp; }; /* *************** */ /* SHADOW MAP CODE */ /* *************** */ struct SMapVertexToPixel { float4 Position : POSITION; float4 Position2D : TEXCOORD0; }; struct SMapPixelToFrame { float4 Color : COLOR0; }; struct SSceneVertexToPixel { float4 Position : POSITION; float4 Pos2DAsSeenByLight : TEXCOORD0; float2 TexCoords : TEXCOORD1; float3 Normal : TEXCOORD2; float4 Position3D : TEXCOORD3; }; struct SScenePixelToFrame { float4 Color : COLOR0; }; float DotProduct(float3 lightPos, float3 pos3D, float3 normal) { float3 lightDir = normalize(pos3D - lightPos); return dot(-lightDir, normal); } SSceneVertexToPixel ShadowedSceneVertexShader(float4 inPos : POSITION, float2 inTexCoords : TEXCOORD0, float3 inNormal : NORMAL) { SSceneVertexToPixel Output = (SSceneVertexToPixel)0; Output.Position = mul(inPos, xWorldViewProjection); Output.Pos2DAsSeenByLight = mul(inPos, xLightsWorldViewProjection); Output.Normal = normalize(mul(inNormal, (float3x3)World)); Output.Position3D = mul(inPos, World); Output.TexCoords = inTexCoords; return Output; } SScenePixelToFrame ShadowedScenePixelShader(SSceneVertexToPixel PSIn) { SScenePixelToFrame Output = (SScenePixelToFrame)0; float2 ProjectedTexCoords; ProjectedTexCoords[0] = PSIn.Pos2DAsSeenByLight.x / PSIn.Pos2DAsSeenByLight.w / 2.0f + 0.5f; ProjectedTexCoords[1] = -PSIn.Pos2DAsSeenByLight.y / PSIn.Pos2DAsSeenByLight.w / 2.0f + 0.5f; float diffuseLightingFactor = 0; if ((saturate(ProjectedTexCoords).x == ProjectedTexCoords.x) && (saturate(ProjectedTexCoords).y == ProjectedTexCoords.y)) { float depthStoredInShadowMap = tex2D(ShadowMapSampler, ProjectedTexCoords).r; float realDistance = PSIn.Pos2DAsSeenByLight.z / PSIn.Pos2DAsSeenByLight.w; if ((realDistance - 1.0f / 100.0f) <= depthStoredInShadowMap) { diffuseLightingFactor = DotProduct(xLightPos, PSIn.Position3D, PSIn.Normal); diffuseLightingFactor = saturate(diffuseLightingFactor); diffuseLightingFactor *= xLightPower; } } float4 baseColor = tex2D(Sampler, PSIn.TexCoords); Output.Color = baseColor*(diffuseLightingFactor + xAmbient); return Output; } SMapVertexToPixel ShadowMapVertexShader(float4 inPos : POSITION) { SMapVertexToPixel Output = (SMapVertexToPixel)0; Output.Position = mul(inPos, xLightsWorldViewProjection); Output.Position2D = Output.Position; return Output; } SMapPixelToFrame ShadowMapPixelShader(SMapVertexToPixel PSIn) { SMapPixelToFrame Output = (SMapPixelToFrame)0; Output.Color = PSIn.Position2D.z / PSIn.Position2D.w; return Output; } /* ******************* */ /* END SHADOW MAP CODE */ /* ******************* */ / For rendering without instancing. technique ShadowMap { pass Pass0 { VertexShader = compile vs_2_0 ShadowMapVertexShader(); PixelShader = compile ps_2_0 ShadowMapPixelShader(); } } technique ShadowedScene { /* pass Pass0 { VertexShader = compile vs_2_0 VSBasicTx(); PixelShader = compile ps_2_0 PSBasicTx(); } */ pass Pass1 { VertexShader = compile vs_2_0 ShadowedSceneVertexShader(); PixelShader = compile ps_2_0 ShadowedScenePixelShader(); } } technique SimpleFog { pass Pass0 { VertexShader = compile vs_2_0 VSBasicTx(); PixelShader = compile ps_2_0 PSBasicTx(); } } I edited my fx file , for show you only information and functions about the shadow ;-)

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  • Redirecting to a dynamic page

    - by binarydev
    I have a page displaying blog posts (latest_posts.php) and another page that display single blog posts (blog.php) . I intend to link the image title in latest_posts.php so that it redirects to blog.php where it would display the particular post that was clicked. latest_posts.php: <!-- Header --> <h2 class="underline"> <span>What&#039;s new</span> <span></span> </h2> <!-- /Header --> <!-- Posts list --> <ul class="post-list post-list-1"> <?php /* Fetches Date/Time, Post Content and title */ include 'dbconnect.php'; $sql = "SELECT * FROM wp_posts"; $res = mysql_query($sql); while ( $row = mysql_fetch_array($res) ) { ?> <!-- Post #1 --> <li class="clear-fix"> <!-- Date --> <div class="post-list-date"> <div class="post-date-box"> <?php //Timestamp broken down to show accordingly $timestamp = $row['post_date']; $datetime = new DateTime($timestamp); $date = $datetime->format("d"); $month = $datetime->format("M"); ?> <h3> <?php echo $date; ?> </h3> <span> <?php echo $month; ?> </span> </div> </div> <!-- /Date --> <!-- Image + comments count --> <div class="post-list-image"> <!-- Image --> <div class="image image-overlay-url image-fancybox-url"> <a href="post.php" class="preloader-image"> <?php echo '<img src="', $row['image'], '" alt="' , $row['post_title'] , '\'s Blog Image" />'; ?> </a> </div> <!-- /Image --> </div> <!-- /Image + comments count --> <!-- Content --> <div class="post-list-content"> <div> <!-- Header --> <h4> <a href="post.php? . $row['ID'] . "> <?php echo $row['post_title']; ?> </a> </h4> <!-- /Header --> <!-- Excerpt --> <p> <?php echo $row ['post_content']; }?> </p> <!-- /Excerpt --> </div> </div> <!-- /Content --> </li> <!-- /Post #1 --> </ul> <!-- /Posts list --> <a href="blog.php" class="button-browse">Browse All Posts</a> </div> <?php require_once('include/twitter_user_timeline.php'); ?> blog.php: <?php require_once('include/header.php'); ?> <body class="blog"> <?php require_once('include/navigation_bar_blog.php'); ?> <div class="blog"> <div class="main"> <!-- Header --> <h2 class="underline"> <span>What&#039;s new</span> <span></span> </h2> <!-- /Header --> <!-- Layout 66x33 --> <div class="layout-p-66x33 clear-fix"> <!-- Left column --> <!-- <div class="column-left"> --> <!-- Posts list --> <ul class="post-list post-list-2"> <?php /* Fetches Date/Time, Post Content and title with Pagination */ include 'dbconnect.php'; //sets to default page if(empty($_GET['pn'])){ $page=1; } else { $page = $_GET['pn']; } // Index of the page $index = ($page-1)*3; $sql = "SELECT * FROM `wp_posts` ORDER BY `post_date` DESC LIMIT " . $index . " ,3"; $res = mysql_query($sql); //Loops through the values while ( $row = mysql_fetch_array($res) ) { ?> <!-- Post #1 --> <li class="clear-fix"> <!-- Date --> <div class="post-list-date"> <div class="post-date-box"> <?php //Timestamp broken down to show accordingly $timestamp = $row['post_date']; $datetime = new DateTime($timestamp); $date = $datetime->format("d"); $month = $datetime->format("M"); ?> <h3> <?php echo $date; ?> </h3> <span> <?php echo $month; ?> </span> </div> </div> <!-- /Date --> <!-- Image + comments count --> <div class="post-list-image"> <!-- Image --> <div class="image image-overlay-url image-fancybox-url"> <a href="post.php" class="preloader-image"> <?php echo '<img src="', $row['image'], '" alt="' , $row['post_title'] , '\'s Blog Image" />'; ?> </a> </div> <!-- /Image --> </div> <!-- /Image + comments count --> <!-- Content --> <div class="post-list-content"> <div> <?php $id = $_GET['ID']; $post = lookup_post_somehow($id); if($post) { // render post } else { echo 'blog post not found..'; } ?> <!-- Header --> <h4> <a href="post.php"> <?php echo $row['post_title']; ?> </a> </h4> <!-- /Header --> <!-- Excerpt --> <p> <?php echo $row ['post_content']; ?> </p> <!-- /Excerpt --> </div> </div> <!-- /Content --> </li> <!-- /Post #1 --> <?php } // close while loop ?> </ul> <!-- /Posts list --> <div><!-- Pagination --> <ul class="blog-pagination clear-fix"> <?php //Count the number of rows $numberofrows = mysql_query("SELECT COUNT(ID) FROM `wp_posts`"); //Do ciel() to round the result according to number of posts $postsperpage = 4; $numOfPages = ceil($numberofrows / $postsperpage); for($i=1; $i < $numOfPages; $i++) { //echos links for each page $paginationDisplay = '<li><a href="blog.php?pn=' . $i . '">' . $i . '</a></li>'; echo $paginationDisplay; } ?> <!-- <li><a href="#" class="selected">1</a></li> <li><a href="#">2</a></li> <li><a href="#">3</a></li> <li><a href="#">4</a></li> --> </ul> </div><!-- /Pagination --> <!-- /div> --> <!-- Left column --> </div> <!-- /Layout 66x33 --> </div> </div> <?php require_once('include/twitter_user_timeline.php'); ?> <?php require_once('include/footer_blog.php'); ?> How do I render?

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  • Auto-hydrate your objects with ADO.NET

    - by Jake Rutherford
    Recently while writing the monotonous code for pulling data out of a DataReader to hydrate some objects in an application I suddenly wondered "is this really necessary?" You've probably asked yourself the same question, and many of you have: - Used a code generator - Used a ORM such as Entity Framework - Wrote the code anyway because you like busy work     In most of the cases I've dealt with when making a call to a stored procedure the column names match up with the properties of the object I am hydrating. Sure that isn't always the case, but most of the time it's 1 to 1 mapping.  Given that fact I whipped up the following method of hydrating my objects without having write all of the code. First I'll show the code, and then explain what it is doing.      /// <summary>     /// Abstract base class for all Shared objects.     /// </summary>     /// <typeparam name="T"></typeparam>     [Serializable, DataContract(Name = "{0}SharedBase")]     public abstract class SharedBase<T> where T : SharedBase<T>     {         private static List<PropertyInfo> cachedProperties;         /// <summary>         /// Hydrates derived class with values from record.         /// </summary>         /// <param name="dataRecord"></param>         /// <param name="instance"></param>         public static void Hydrate(IDataRecord dataRecord, T instance)         {             var instanceType = instance.GetType();                         //Caching properties to avoid repeated calls to GetProperties.             //Noticable performance gains when processing same types repeatedly.             if (cachedProperties == null)             {                 cachedProperties = instanceType.GetProperties().ToList();             }                         foreach (var property in cachedProperties)             {                 if (!dataRecord.ColumnExists(property.Name)) continue;                 var ordinal = dataRecord.GetOrdinal(property.Name);                 var isNullable = property.PropertyType.IsGenericType &&                                  property.PropertyType.GetGenericTypeDefinition() == typeof (Nullable<>);                 var isNull = dataRecord.IsDBNull(ordinal);                 var propertyType = property.PropertyType;                 if (isNullable)                 {                     if (!string.IsNullOrEmpty(propertyType.FullName))                     {                         var nullableType = Type.GetType(propertyType.FullName);                         propertyType = nullableType != null ? nullableType.GetGenericArguments()[0] : propertyType;                     }                 }                 switch (Type.GetTypeCode(propertyType))                 {                     case TypeCode.Int32:                         property.SetValue(instance,                                           (isNullable && isNull) ? (int?) null : dataRecord.GetInt32(ordinal), null);                         break;                     case TypeCode.Double:                         property.SetValue(instance,                                           (isNullable && isNull) ? (double?) null : dataRecord.GetDouble(ordinal),                                           null);                         break;                     case TypeCode.Boolean:                         property.SetValue(instance,                                           (isNullable && isNull) ? (bool?) null : dataRecord.GetBoolean(ordinal),                                           null);                         break;                     case TypeCode.String:                         property.SetValue(instance, (isNullable && isNull) ? null : isNull ? null : dataRecord.GetString(ordinal),                                           null);                         break;                     case TypeCode.Int16:                         property.SetValue(instance,                                           (isNullable && isNull) ? (int?) null : dataRecord.GetInt16(ordinal), null);                         break;                     case TypeCode.DateTime:                         property.SetValue(instance,                                           (isNullable && isNull)                                               ? (DateTime?) null                                               : dataRecord.GetDateTime(ordinal), null);                         break;                 }             }         }     }   Here is a class which utilizes the above: [Serializable] [DataContract] public class foo : SharedBase<foo> {     [DataMember]     public int? ID { get; set; }     [DataMember]     public string Name { get; set; }     [DataMember]     public string Description { get; set; }     [DataMember]     public string Subject { get; set; }     [DataMember]     public string Body { get; set; }            public foo(IDataRecord record)     {         Hydrate(record, this);                }     public foo() {} }   Explanation: - Class foo inherits from SharedBase specifying itself as the type. (NOTE SharedBase is abstract here in the event we want to provide additional methods which could be overridden by the instance class) public class foo : SharedBase<foo> - One of the foo class constructors accepts a data record which then calls the Hydrate method on SharedBase passing in the record and itself. public foo(IDataRecord record) {      Hydrate(record, this); } - Hydrate method on SharedBase will use reflection on the object passed in to determine its properties. At the same time, it will effectively cache these properties to avoid repeated expensive reflection calls public static void Hydrate(IDataRecord dataRecord, T instance) {      var instanceType = instance.GetType();      //Caching properties to avoid repeated calls to GetProperties.      //Noticable performance gains when processing same types repeatedly.      if (cachedProperties == null)      {           cachedProperties = instanceType.GetProperties().ToList();      } . . . - Hydrate method on SharedBase will iterate each property on the object and determine if a column with matching name exists in data record foreach (var property in cachedProperties) {      if (!dataRecord.ColumnExists(property.Name)) continue;      var ordinal = dataRecord.GetOrdinal(property.Name); . . . NOTE: ColumnExists is an extension method I put on IDataRecord which I’ll include at the end of this post. - Hydrate method will determine if the property is nullable and whether the value in the corresponding column of the data record has a null value var isNullable = property.PropertyType.IsGenericType && property.PropertyType.GetGenericTypeDefinition() == typeof (Nullable<>); var isNull = dataRecord.IsDBNull(ordinal); var propertyType = property.PropertyType; . . .  - If Hydrate method determines the property is nullable it will determine the underlying type and set propertyType accordingly - Hydrate method will set the value of the property based upon the propertyType   That’s it!!!   The magic here is in a few places. First, you may have noticed the following: public abstract class SharedBase<T> where T : SharedBase<T> This says that SharedBase can be created with any type and that for each type it will have it’s own instance. This is important because of the static members within SharedBase. We want this behavior because we are caching the properties for each type. If we did not handle things in this way only 1 type could be cached at a time, or, we’d need to create a collection that allows us to cache the properties for each type = not very elegant.   Second, in the constructor for foo you may have noticed this (literally): public foo(IDataRecord record) {      Hydrate(record, this); } I wanted the code for auto-hydrating to be as simple as possible. At first I wasn’t quite sure how I could call Hydrate on SharedBase within an instance of the class and pass in the instance itself. Fortunately simply passing in “this” does the trick. I wasn’t sure it would work until I tried it out, and fortunately it did.   So, to actually use this feature when utilizing ADO.NET you’d do something like the following:        public List<foo> GetFoo(int? fooId)         {             List<foo> fooList;             const string uspName = "usp_GetFoo";             using (var conn = new SqlConnection(_dbConnection))             using (var cmd = new SqlCommand(uspName, conn))             {                 cmd.CommandType = CommandType.StoredProcedure;                 cmd.Parameters.Add(new SqlParameter("@FooID", SqlDbType.Int)                                        {Direction = ParameterDirection.Input, Value = fooId});                 conn.Open();                 using (var dr = cmd.ExecuteReader())                 {                     fooList= (from row in dr.Cast<DbDataRecord>()                                             select                                                 new foo(row)                                            ).ToList();                 }             }             return fooList;         }   Nice! Instead of having line after line manually assigning values from data record to an object you simply create a new instance and pass in the data record. Note that there are certainly instances where columns returned from stored procedure do not always match up with property names. In this scenario you can still use the above method and simply do your manual assignments afterward.

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  • CodePlex Daily Summary for Friday, August 31, 2012

    CodePlex Daily Summary for Friday, August 31, 2012Popular ReleasesStartComp: Beta Release 1.0.0: Beta Release 1 Featured Content Bing-Search has been removed Window anchor implemented The listview can now be configured to be shown in details view or tile view through the context menu The listview now allows sorting through the context menu The view, sort order and sort column are now saved for each repository The listview now shows the background image in the lower right The listview now shows a background image for the user defined repositories Added a "Tell-A-Friend" bu...SharePoint Column & View Permission: SharePoint Column and View Permission v1.2: Version 1.2 of this project. If you will find any bugs please let me know at enti@zoznam.sk or post your findings in Issue TrackerDotNetNuke® Form and List: 06.00.04: DotNetNuke Form and List 06.00.04 Don't forget to backup your installation before upgrade. Changes in 06.00.04 Fix: Sql Scripts for 6.003 missed object qualifiers within stored procedures Fix: added missing resource "cmdCancel.Text" in form.ascx.resx Changes in 06.00.03 Fix: MakeThumbnail was broken if the application pool was configured to .Net 4 Change: Data is now stored in nvarchar(max) instead of ntext Changes in 06.00.02 The scripts are now compatible with SQL Azure, tested in a ne...DotNetNuke Translator: 01.00.00 Beta: First release of the project.Audio Pitch & Shift: Audio Pitch And Shift 5.1.0.2: fixed several issues with streaming modeUrlPager: UrlPager 1.2: Fixed bug in which url parameters will lost after paging; ????????url???bug;EntLib.com????????: EntLib.com???????? v3.0: EntLib eCommerce Solution ???Microsoft .Net Framework?????????????????????。Coevery - Free CRM: Coevery 1.0.0.24: Add a sample database, and installation instructions.NicAudio: NicAudio 2.0.6: ac3,dts Solved some initialization issues with no-linear decode.ExpressProfiler: Initial release of ExpressProfiler v1.2: This is initial release of ExpressProfilerNabu Library: 2012-08-29, 14: .Net Framework 4.0, .Net Framework 4.5 Debug and Release builds.Math.NET Numerics: Math.NET Numerics v2.2.1: Major linear algebra rework since v2.1, now available on Codeplex as well (previous versions were only available via NuGet). Since v2.2.0: Student-T density more robust for very large degrees of freedom Sparse Kronecker product much more efficient (now leverages sparsity) Direct access to raw matrix storage implementations for advanced extensibility Now also separate package for signed core library with a strong name (we dropped strong names in v2.2.0) Also available as NuGet packages...Microsoft SQL Server Product Samples: Database: AdventureWorks Databases – 2012, 2008R2 and 2008: About this release This release consolidates AdventureWorks databases for SQL Server 2012, 2008R2 and 2008 versions to one page. Each zip file contains an mdf database file and ldf log file. This should make it easier to find and download AdventureWorks databases since all OLTP versions are on one page. There are no database schema changes. For each release of the product, there is a light-weight and full version of the AdventureWorks sample database. The light-weight version is denoted by ...DotNetNuke® Blog: 05.00.00: Version 5.0.0 - Final This version of the module requires DotNetNuke Core 6.2 or greater. FYI: Developers should be aware that the module uses Visual Studio 2010 only. Release Highlights: Corrected blog comment sorting problem. 20228 - Integrated with the core Journal API. 20789, 21988 - wired in fix submitted by J Sheely around blank author names. 20210 - Updated manifest to 5.0 format (from 3.0). Automated packaging and made project structure more inline with other DotNetNuke m...Christoc's DotNetNuke Module Development Template: DotNetNuke Project Templates V1.1 for VS2012: This release is specifically for Visual Studio 2012 Support, distributed through the Visual Studio Extensions gallery at http://visualstudiogallery.msdn.microsoft.com/ After you build in Release mode the installable packages (source/install) can be found in the INSTALL folder now, within your module's folder, not the packages folder anymore Check out the blog post for all of the details about this release. http://www.dotnetnuke.com/Resources/Blogs/EntryId/3471/New-Visual-Studio-2012-Projec...Home Access Plus+: v8.0: v8.0828.1800 RELEASE CHANGED TO BETA Any issues, please log them on http://www.edugeek.net/forums/home-access-plus/ This is full release, NO upgrade ZIP will be provided as most files require replacing. To upgrade from a previous version, delete everything but your AppData folder, extract all but the AppData folder and run your HAP+ install Documentation is supplied in the Web Zip The Quota Services require executing a script to register the service, this can be found in there install di...Phalanger - The PHP Language Compiler for the .NET Framework: 3.0.0.3406 (September 2012): New features: Extended ReflectionClass libxml error handling, constants DateTime::modify(), DateTime::getOffset() TreatWarningsAsErrors MSBuild option OnlyPrecompiledCode configuration option; allows to use only compiled code Fixes: ArgsAware exception fix accessing .NET properties bug fix ASP.NET session handler fix for OutOfProc mode DateTime methods (WordPress posting fix) Phalanger Tools for Visual Studio: Visual Studio 2010 & 2012 New debugger engine, PHP-like debugging ...MabiCommerce: MabiCommerce 1.0.1: What's NewSetup now creates shortcuts Fix spelling errors Minor enhancement to the Map window.ScintillaNET: ScintillaNET 2.5.2: This release has been built from the 2.5 branch. Version 2.5.2 is functionally identical to the 2.5.1 release but also includes the XML documentation comments file generated by Visual Studio. It is not 100% comprehensive but it will give you Visual Studio IntelliSense for a large part of the API. Just make sure the ScintillaNET.xml file is in the same folder as the ScintillaNET.dll reference you're using in your projects. (The XML file does not need to be distributed with your application)....BlackJumboDog: Ver5.7.1: 2012.08.25 Ver5.7.1 (1)?????·?????LING?????????????? (2)SMTP???(????)????、?????\?????????????????????New ProjectsAbcLibrary: A Library of methods and class types used for ABCAprendendo Windows 8: Não foi feito nada ainda...Auto fill template generator (word): This program was designed to help the automate generation of files using keywords.ClarkTestCodePlex2: clark test Code Razor: This tools translates Razor files to code. This allows the Razor views to be compiled and shared across projects.Contrib.Mod.ChangePassword: It is an evil module that abuses users rights and lets you change anyone's password.CurrentConsumption: CurrentConsumptionDbSettings - An API to store settings in a database: This stores settings in an OleDb/Sql database using an API similar to ApplicationSettingsBase. Settings vary by app, version, user.JCI prototipos: summaryMemberAdminService: This is a test projectMeteor Rendering Engine: The Meteor rendering engine is developed in C# with XNA 4.0, and provides various rendering outputs for 3D scenes.Mod.Colorbox: Orchard module for Mod.ColorboxMogulTestProject1: papaMogulTestTRY: papaosmm: this is a sample test projectServer Survey: Server Survey ScriptShops' Cloud: This project is a Cloud Platform for Mini Shops' Daily Management.Simple Grocery 5: This is a very simple application to help me (or you) out setting up a grocery list and use it on the food market using ALL smart phones or tablets.Tikun Korim: Community site to help people learn to read in Sefer Torah. This project is going to use ASP.NET MVC 4 and as much as open source project as we can. TreeCreeper: TreeCreeper programs (Spatial and NonSpatial) support the taxonomic analysis of species assemblagesVisual Studio Icon Patcher: Visual Studio Icon Patcher allows you to update Visual Studio 2012 with the Solution Explorer icons from Visual Studio 2010.WPT Generator: WPT Generator HTML5 , Google API 3.0, Javascript and CSS 3.0 Web Application for generating a WPT file (Ozi Explorer Format).

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