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  • How to switch sql-2005 Select Case When T-sql Naming?

    - by soe
    select (Case Remark01 When 'l1' then type1 when 'l2' then type2 end) AS [?] --Remark .....want to switch name in here from mytable Example .... select (Case level When 'l1' then type1 ('l1' mean check constant string) when 'l2' then type2(('l2' mean check constant string)) end) AS (Case when 'l1' then [type01] Else [type02]) from mytable select level,type1,type2 from mytable I using two program this mytable one program is want to show menu only type1 only one program is want to show menu only type2 only I using one view using two program..

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  • help with t-sql data aggregation

    - by stackoverflowuser
    Based on the following table Area S1 S2 S3 S4 -------------------- A1 5 10 20 0 A2 11 19 15 20 A3 0 0 0 20 I want to generate an output that will give the number of columns not having "0". So the output would be Area S1 S2 S3 S4 Count ------------------------- A1 5 10 20 0 3 A2 11 19 15 20 4 A3 0 0 0 20 1

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  • how to get result from this data.

    - by Shantanu Gupta
    I want to compute result from this table. I want quantity 1 - quantity2 as another column in the table shown below. this table has more such records I am trying to query but not been able to get result. select * from v order by is_active desc, transaction_id desc PK_GUEST_ITEM_ID FK_GUEST_ID QUANTITY TRANSACTION_ID IS_ACTIVE ---------------- -------------------- ---------------------- -------------------- ----------- 12963 559 82000 795 1 12988 559 79000 794 0 12987 559 76000 793 0 12986 559 73000 792 0 12985 559 70000 791 0 12984 559 67000 790 0 12983 559 64000 789 0 12982 559 61000 788 0 12981 559 58000 787 0 12980 559 55000 786 0 12979 559 52000 785 0 12978 559 49000 784 0 12977 559 46000 783 0 12976 559 43000 782 0 I want another column that will contain the subtraction of two quantities . DESIRED RESULT SHOULD BE SOMETHING LIKE THIS PK_GUEST_ITEM_ID FK_GUEST_ID QUANTITY Result TRANSACTION_ID IS_ACTIVE ---------------- -------------------- ---------------------- -------------------- ----------- 12963 559 82000 3000 795 1 12988 559 79000 3000 794 0 12987 559 76000 3000 793 0 12986 559 73000 3000 792 0 12985 559 70000 3000 791 0 12984 559 67000 3000 790 0 12983 559 64000 3000 789 0 12982 559 61000 3000 788 0 12981 559 58000 3000 787 0 12980 559 55000 3000 786 0 12979 559 52000 3000 785 0 12978 559 49000 3000 784 0 12977 559 46000 3000 783 0 12976 559 43000 NULL 782 0

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  • t-sql getting leaf nodes

    - by stackoverflowuser
    Based on following table (I have kept spaces between the rows for clarity) Path ----------- \node1\node2\node3 \node1\node2\node3\node5 \node1\node6\node3 \node1\node4\node3 \node1\node4\node3\node7 \node1\node4\node3\node8 \node1\node4\node3\node9 \node1\node4\node3\node9\node10 I want to get all the paths containing leaf node. So for instance, following will be considered leaf nodes for path \node1\node4\node3 \node1\node4\node3\node7 \node1\node4\node3\node8 \node1\node4\node3\node9\node10 The following will be the output: Output --------------------------- \node1\node2\node3\node5 \node1\node6\node3 \node1\node4\node3\node7 \node1\node4\node3\node8 \node1\node4\node3\node9\node10 Pls. suggest. Thanks.

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  • How to realize this in Transact SQL ( SQL Server 2008 )

    - by David
    I just want an update trigger like this postgresql version... It seems to me there is no NEW. and OLD. in MSSQL? CREATE OR REPLACE FUNCTION "public"."ts_create" () RETURNS trigger AS DECLARE BEGIN NEW.ctime := now(); RETURN NEW; END; Googled already, but nothing to be found unfortunately... Ideas?

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  • Conversion failed when converting the varchar value to data type int

    - by desi
    *I have a varchar(1000) column declared as field that contains all numbers, as shown below. And I want to execute the following script. I need this to work please Declare @PostalCode varchar(1000)=0 set @PostalCode ='7005036,7004168,7002314,7001188,6998955' Select hl.* From CountryLocation cl INNER JOIN refPostalCodes pc ON pc.PostalCode = hl.PostalCode where pc.Postalcode in (@PostalCode) and pc.notDeleted = 1

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  • Big Data Appliance X4-2 Release Announcement

    - by Jean-Pierre Dijcks
    Today we are announcing the release of the 3rd generation Big Data Appliance. Read the Press Release here. Software Focus The focus for this 3rd generation of Big Data Appliance is: Comprehensive and Open - Big Data Appliance now includes all Cloudera Software, including Back-up and Disaster Recovery (BDR), Search, Impala, Navigator as well as the previously included components (like CDH, HBase and Cloudera Manager) and Oracle NoSQL Database (CE or EE). Lower TCO then DIY Hadoop Systems Simplified Operations while providing an open platform for the organization Comprehensive security including the new Audit Vault and Database Firewall software, Apache Sentry and Kerberos configured out-of-the-box Hardware Update A good place to start is to quickly review the hardware differences (no price changes!). On a per node basis the following is a comparison between old and new (X3-2) hardware: Big Data Appliance X3-2 Big Data Appliance X4-2 CPU 2 x 8-Core Intel® Xeon® E5-2660 (2.2 GHz) 2 x 8-Core Intel® Xeon® E5-2650 V2 (2.6 GHz) Memory 64GB 64GB Disk 12 x 3TB High Capacity SAS 12 x 4TB High Capacity SAS InfiniBand 40Gb/sec 40Gb/sec Ethernet 10Gb/sec 10Gb/sec For all the details on the environmentals and other useful information, review the data sheet for Big Data Appliance X4-2. The larger disks give BDA X4-2 33% more capacity over the previous generation while adding faster CPUs. Memory for BDA is expandable to 512 GB per node and can be done on a per-node basis, for example for NameNodes or for HBase region servers, or for NoSQL Database nodes. Software Details More details in terms of software and the current versions (note BDA follows a three monthly update cycle for Cloudera and other software): Big Data Appliance 2.2 Software Stack Big Data Appliance 2.3 Software Stack Linux Oracle Linux 5.8 with UEK 1 Oracle Linux 6.4 with UEK 2 JDK JDK 6 JDK 7 Cloudera CDH CDH 4.3 CDH 4.4 Cloudera Manager CM 4.6 CM 4.7 And like we said at the beginning it is important to understand that all other Cloudera components are now included in the price of Oracle Big Data Appliance. They are fully supported by Oracle and available for all BDA customers. For more information: Big Data Appliance Data Sheet Big Data Connectors Data Sheet Oracle NoSQL Database Data Sheet (CE | EE) Oracle Advanced Analytics Data Sheet

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  • Review: Data Modeling 101

    I just recently read “Data Modeling 101”by Scott W. Ambler where he gave an overview of fundamental data modeling skills. I think this article was excellent for anyone who was just starting to learn or refresh their skills in regards to the modeling of data.  Scott defines data modeling as the act of exploring data oriented structures.  He goes on to explain about how data models are actually used by defining three different types of models. Types of Data Models Conceptual Data Model  Logical Data Model (LDMs) Physical Data Model(PDMs) He further expands on modeling by exploring common data modeling notations because there are no industry standards for the practice of data modeling. Scott then defines how to actually model data by expanding on entities, attributes, identities, and relationships which are the basic building blocks of data models. In addition he discusses the value of normalization for redundancy and demoralization for performance. Finally, he discuss ways in which Developers and DBAs can become better data modelers through the use of practice, and seeking guidance from more experienced data modelers.

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  • HTML5 data-* (custom data attribute)

    - by Renso
    Goal: Store custom data with the data attribute on any DOM element and retrieve it. Previously under HTML4 we used to use classes to store custom data, something to the affect of <input class="account void limit-5000 over-4999" /> and then have to parse the data out of the class In a book published by Peter-Paul Koch in 2007, ppk on JavaScript, he explains why and how to use custom attributes to make data more accessible to JavaScript, using name-value pairs. Accessing a custom attribute account-limit=5000 is much easier and more intuitive than trying to parse it out of a class, Plus, what if the class name for example "color-5" has a representative class definition in a CSS stylesheet that hides it away or worse some JavaScript plugin that automatically adds 5000 to it, or something crazy like that, just because it is a valid class name. As you can see there are quite a few reasons why using classes is a bad design and why it was important to define custom data attributes in HTML5. Syntax: You define the data attribute by simply prefixing any data item you want to store with any HTML element with "data-". For example to store our customers account data with a hidden input element: <input type="hidden" data-account="void" data-limit=5000 data-over=4999  /> How to access the data: account  -     element.dataset.account limit    -     element.dataset.limit You can also access it by using the more traditional get/setAttribute method or if using jQuery $('#element').attr('data-account','void') Browser support: All except for IE. There is an IE hack around this at http://gist.github.com/362081. Special Note: Be AWARE, do not use upper-case when defining your data elements as it is all converted to lower-case when reading it, so: data-myAccount="A1234" will not be found when you read it with: element.dataset.myAccount Use only lowercase when reading so this will work: element.dataset.myaccount

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  • Master Data Management – A Foundation for Big Data Analysis

    - by Manouj Tahiliani
    While Master Data Management has crossed the proverbial chasm and is on its way to becoming mainstream, businesses are being hammered by a new megatrend called Big Data. Big Data is characterized by massive volumes, its high frequency, the variety of less structured data sources such as email, sensors, smart meters, social networks, and Weblogs, and the need to analyze vast amounts of data to determine value to improve upon management decisions. Businesses that have embraced MDM to get a single, enriched and unified view of Master data by resolving semantic discrepancies and augmenting the explicit master data information from within the enterprise with implicit data from outside the enterprise like social profiles will have a leg up in embracing Big Data solutions. This is especially true for large and medium-sized businesses in industries like Retail, Communications, Financial Services, etc that would find it very challenging to get comprehensive analytical coverage and derive long-term success without resolving the limitations of the heterogeneous topology that leads to disparate, fragmented and incomplete master data. For analytical success from Big Data or in other words ROI from Big Data Investments, businesses need to acquire, organize and analyze the deluge of data to make better decisions. There will need to be a coexistence of structured and unstructured data and to maintain a tight link between the two to extract maximum insights. MDM is the catalyst that helps maintain that tight linkage by providing an understanding about the identity, characteristics of Persons, Companies, Products, Suppliers, etc. associated with the Big Data and thereby help accelerate ROI. In my next post I will discuss about patterns for co-existing Big Data Solutions and MDM. Feel free to provide comments and thoughts on above as well as Integration or Architectural patterns.

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  • How to Assure an Effective Data Model

    As a general rule in my opinion the effectiveness of a data model can be directly related to the accuracy and complexity of a project’s requirements. For example there is no need to work on very detailed data models when the details surrounding a specific data model have not been defined or even clarified. Developing data models when the clarity of project requirements is limited tends to introduce designed issues because the proper details to create an effective data model are not even known. One way to avoid this issue is to create data models that correspond to the complexity of the existing project requirements so that when requirements are updated then new data models can be created based any new discoveries regarding requirements on a fine grain level.  This allows for data models to be composed of general entities to be created initially when a project’s requirements are very vague and then the entities are refined as new and more substantial requirements are defined or redefined. This promotes communication amongst all stakeholders within a project as they go through the process of defining and finalizing project requirements.In addition, here are some general tips that can be applied to projects in regards to data modeling.Initially model all data generally and slowly reactor the data model as new requirements and business constraints are applied to a project.Ensure that data modelers have the proper tools and training they need to design a data model accurately.Create a common location for all project documents so that everyone will be able to review a project’s data models along with any other project documentation.All data models should follow a clear naming schema that tells readers the intended purpose for the data and how it is going to be applied within a project.

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  • Introducing Microsoft SQL Server 2008 R2 - Business Intelligence Samples

    - by smisner
    On April 14, 2010, Microsoft Press (blog | twitter) released my latest book, co-authored with Ross Mistry (twitter), as a free ebook download - Introducing Microsoft SQL Server 2008 R2. As the title implies, this ebook is an introduction to the latest SQL Server release. Although you'll find a comprehensive review of the product's features in this book, you will not find the step-by-step details that are typical in my other books. For those readers who are interested in a more interactive learning experience, I have created two samples file for download: IntroSQLServer2008R2Samples project Sales Analysis workbook Here's a recap of the business intelligence chapters and the samples I used to generate the screen shots by chapter: Chapter 6: Scalable Data Warehousing covers a new edition of SQL Server, Parallel Data Warehouse. Understandably, Microsoft did not ship me the software and hardware to set up my own Parallel Data Warehouse environment for testing purposes and consequently you won't see any screenshots in this chapter. I received a lot of information and a lot of help from the product team during the development of this chapter to ensure its technical accuracy. Chapter 7: Master Data Services is a new component in SQL Server. After you install Master Data Services (MDS), which is a separate installation from SQL Server although it's found on the same media, you can install sample models to explore (which is what I did to create screenshots for the book). To do this, you deploying packages found at \Program Files\Microsoft SQL Server\Master Data Services\Samples\Packages. You will first need to use the Configuration Manager (in the Microsoft SQL Server 2008 R2\Master Data Services program group) to create a database and a Web application for MDS. Then when you launch the application, you'll see a Getting Started page which has a Deploy Sample Data link that you can use to deploy any of the sample packages. Chapter 8: Complex Event Processing is an introduction to another new component, StreamInsight. This topic was way too large to cover in-depth in a single chapter, so I focused on information such as architecture, development models, and an overview of the key sections of code you'll need to develop for your own applications. StreamInsight is an engine that operates on data in-flight and as such has no user interface that I could include in the book as screenshots. The November CTP version of SQL Server 2008 R2 included code samples as part of the installation, but these are not the official samples that will eventually be available in Codeplex. At the time of this writing, the samples are not yet published. Chapter 9: Reporting Services Enhancements provides an overview of all the changes to Reporting Services in SQL Server 2008 R2, and there are many! In previous posts, I shared more details than you'll find in the book about new functions (Lookup, MultiLookup, and LookupSet), properties for page numbering, and the new global variable RenderFormat. I will confess that I didn't use actual data in the book for my discussion on the Lookup functions, but I did create real reports for the blog posts and will upload those separately. For the other screenshots and examples in the book, I have created the IntroSQLServer2008R2Samples project for you to download. To preview these reports in Business Intelligence Development Studio, you must have the AdventureWorksDW2008R2 database installed, and you must download and install SQL Server 2008 R2. For the map report, you must execute the PopulationData.sql script that I included in the samples file to add a table to the AdventureWorksDW2008R2 database. The IntroSQLServer2008R2Samples project includes the following files: 01_AggregateOfAggregates.rdl to illustrate the use of embedded aggregate functions 02_RenderFormatAndPaging.rdl to illustrate the use of page break properties (Disabled, ResetPageNumber), the PageName property, and the RenderFormat global variable 03_DataSynchronization.rdl to illustrate the use of the DomainScope property 04_TextboxOrientation.rdl to illustrate the use of the WritingMode property 05_DataBar.rdl 06_Sparklines.rdl 07_Indicators.rdl 08_Map.rdl to illustrate a simple analytical map that uses color to show population counts by state PopulationData.sql to provide the data necessary for the map report Chapter 10: Self-Service Analysis with PowerPivot introduces two new components to the Microsoft BI stack, PowerPivot for Excel and PowerPivot for SharePoint, which you can learn more about at the PowerPivot site. To produce the screenshots for this chapter, I created the Sales Analysis workbook which you can download (although you must have Excel 2010 and the PowerPivot for Excel add-in installed to explore it fully). It's a rather simple workbook because space in the book did not permit a complete exploration of all the wonderful things you can do with PowerPivot. I used a tutorial that was available with the CTP version as a basis for the report so it might look familiar if you've already started learning about PowerPivot. In future posts, I'll continue exploring the new features in greater detail. If there's any special requests, please let me know! Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Support for 15,000 Partitions in SQL Server 2008 SP2 and SQL Server 2008 R2 SP1

    In SQL Server 2008 and SQL Server 2008 R2, the number of partitions on tables and indexes is limited to 1,000. This paper discusses how SQL Server 2008 SP2 and SQL Server 2008 R2 SP1 address this limitation by providing an option to increase the limit to 15,000 partitions. It describes how support for 15,000 partitions can be enabled and disabled on a database. It also talks about performance characteristics, certain limitations associated with this support, known issues, and their workarounds. This support is targeted to enterprise customers and ISVs with large-scale decision support or data warehouse requirements. The Future of SQL Server MonitoringMonitor wherever, whenever with Red Gate's SQL Monitor. See it live in action now.

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  • Data-tier Applications in SQL Server 2008 R2

    - by BuckWoody
    I had the privilege of presenting to the Adelaide SQL Server User Group in Australia last evening, and I covered the Data Access Component (DAC) and the Utility Control Point (UCP) from SQL Server 2008 R2. Here are some links from that presentation:   Whitepaper: http://msdn.microsoft.com/en-us/library/ff381683.aspx Tutorials: http://msdn.microsoft.com/en-us/library/ee210554(SQL.105).aspx From Visual Studio: http://msdn.microsoft.com/en-us/library/dd193245(VS.100).aspx Restrictions and capabilities by Edition: http://msdn.microsoft.com/en-us/library/cc645993(SQL.105).aspx    Glen Berry's Blog entry on scripts for UCP/DAC: http://www.sqlservercentral.com/blogs/glennberry/archive/2010/05/19/sql-server-utility-script-from-24-hours-of-pass.aspx    Objects supported by a DAC: http://msdn.microsoft.com/en-us/library/ee210549(SQL.105).aspx   Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Is reliance on parametrized queries the only way to protect against SQL injection?

    - by Chris Walton
    All I have seen on SQL injection attacks seems to suggest that parametrized queries, particularly ones in stored procedures, are the only way to protect against such attacks. While I was working (back in the Dark Ages) stored procedures were viewed as poor practice, mainly because they were seen as less maintainable; less testable; highly coupled; and locked a system into one vendor; (this question covers some other reasons). Although when I was working, projects were virtually unaware of the possibility of such attacks; various rules were adopted to secure the database against corruption of various sorts. These rules can be summarised as: No client/application had direct access to the database tables. All accesses to all tables were through views (and all the updates to the base tables were done through triggers). All data items had a domain specified. No data item was permitted to be nullable - this had implications that had the DBAs grinding their teeth on occasion; but was enforced. Roles and permissions were set up appropriately - for instance, a restricted role to give only views the right to change the data. So is a set of (enforced) rules such as this (though not necessarily this particular set) an appropriate alternative to parametrized queries in preventing SQL injection attacks? If not, why not? Can a database be secured against such attacks by database (only) specific measures? EDIT Emphasis of the question changed slightly, in the light of the initial responses received. Base question unchanged. EDIT2 The approach of relying on paramaterized queries seems to be only a peripheral step in defense against attacks on systems. It seems to me that more fundamental defenses are both desirable, and may render reliance on such queries not necessary, or less critical, even to defend specifically against injection attacks. The approach implicit in my question was based on "armouring" the database and I had no idea whether it was a viable option. Further research has suggested that there are such approaches. I have found the following sources that provide some pointers to this type of approach: http://database-programmer.blogspot.com http://thehelsinkideclaration.blogspot.com The principle features I have taken from these sources is: An extensive data dictionary, combined with an extensive security data dictionary Generation of triggers, queries and constraints from the data dictionary Minimize Code and maximize data While the answers I have had so far are very useful and point out difficulties arising from disregarding paramaterized queries, ultimately they do not answer my original question(s) (now emphasised in bold).

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  • Data-tier Applications in SQL Server 2008 R2

    - by BuckWoody
    I had the privilege of presenting to the Adelaide SQL Server User Group in Australia last evening, and I covered the Data Access Component (DAC) and the Utility Control Point (UCP) from SQL Server 2008 R2. Here are some links from that presentation:   Whitepaper: http://msdn.microsoft.com/en-us/library/ff381683.aspx Tutorials: http://msdn.microsoft.com/en-us/library/ee210554(SQL.105).aspx From Visual Studio: http://msdn.microsoft.com/en-us/library/dd193245(VS.100).aspx Restrictions and capabilities by Edition: http://msdn.microsoft.com/en-us/library/cc645993(SQL.105).aspx    Glen Berry's Blog entry on scripts for UCP/DAC: http://www.sqlservercentral.com/blogs/glennberry/archive/2010/05/19/sql-server-utility-script-from-24-hours-of-pass.aspx    Objects supported by a DAC: http://msdn.microsoft.com/en-us/library/ee210549(SQL.105).aspx   Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • SQL Developer at Oracle Open World 2012

    - by thatjeffsmith
    We have a lot going on in San Francisco this fall. One of the most personal exciting bits, for what will be my 4th or 5th Open World, is that this will be my FIRST as a member of Team Oracle. I’ve presented once before, but most years it was just me pressing flesh at the vendor booths. After 3-4 days of standing and talking, you’re ready to just go home and not do anything for a few weeks. This time I’ll have a chance to walk around and talk with our users and get a good idea of what’s working and what’s not. Of course it will be a great opportunity for you to find us and get to know your SQL Developer team! 3.4 miles across and back – thanks Ashley for signing me up for the run! This year is going to be a bit crazy. Work wise I’ll be presenting twice, working a booth, and proctoring several of our Hands-On Labs. The fun parts will be equally crazy though – running across the Bay Bridge (I don’t run), swimming the Bay (I don’t swim), having my wife fly out on Wednesday for the concert, and then our first WhiskyFest on Friday (I do drink whisky though.) But back to work – let’s talk about EVERYTHING you can expect from the SQL Developer team. Booth Hours We’ll have 2 ‘demo pods’ in the Exhibition Hall over at Moscone South. Look for the farm of Oracle booths, we’ll be there under the signs that say ‘SQL Developer.’ There will be several people on hand, mostly developers (yes, they still count as people), who can answer your questions or demo the latest features. Come by and say ‘Hi!’, and let us know what you like and what you think we can do better. Seriously. Monday 10AM – 6PM Tuesday 9:45AM – 6PM Wednesday 9:45AM – 4PM Presentations Stop by for an hour, pull up a chair, sit back and soak in all the SQL Developer goodness. You’ll only have to suffer my bad jokes for two of the presentations, so please at least try to come to the other ones. We’ll be talking about data modeling, migrations, source control, and new features in versions 3.1 and 3.2 of SQL Developer and SQL Developer Data Modeler. Day Time Event Monday 10:454:45 What’s New in SQL Developer Why Move to Oracle Application Express Listener Tueday 10:1511:455:00 Using Subversion in Oracle SQL Developer Data Modeler Oracle SQL Developer Tips & Tricks Database Design with Oracle SQL Developer Data Modeler Wednesday 11:453:30 Migrating Third-Party Databases and Applications to Oracle Exadata 11g Enterprise Options and Management Packs for Developers Hands On Labs (HOLs) The Hands On Labs allow you to come into a classroom environment, sit down at a computer, and run through some exercises. We’ll provide the hardware, software, and training materials. It’s self-paced, but we’ll have several helpers walking around to answer questions and chat up any SQL Developer or database topic that comes to mind. If your employer is sending you to Open World for all that great training, the HOLs are a great opportunity to capitalize on that. They are only 60 minutes each, so you don’t have to worry about burning out. And there’s no homework! Of course, if you do want to take the labs home with you, many are already available via the Developer Day Hands-On Database Applications Developer Lab. You will need your own computer for those, but we’ll take care of the rest. Wednesday PL/SQL Development and Unit Testing with Oracle SQL Developer 10:15 Performance Tuning with Oracle SQL Developer 11:45 Thursday The Soup to Nuts of Data Modeling with Oracle SQL Developer Data Modeler 11:15 Some Parting Advice Always wanted to meet your favorite Oracle authors, speakers, and thought-leaders? Don’t be shy, walk right up to them and introduce yourself. Normal social rules still apply, but at the conference everyone is open and up for meeting and talking with attendees. Just understand if there’s a line that you might only get a minute or two. It’s a LONG conference though, so you’ll have plenty of time to catch up with everyone. If you’re going to be around on Tuesday evening, head on over to the OTN Lounge from 4:30 to 6:30 and hang out for our Tweet Meet. That’s right, all the Oracle nerds on Twitter will be there in one place. Be sure to put your Twitter handle on your name tag so we know who you are!

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  • How to Automate your Database Documentation

    - by Jonathan Hickford
    In my previous post, “Automating Deployments with SQL Compare command line” I looked at how teams can automate the deployment and post deployment validation of SQL Server databases using the command line versions of Red Gate tools. In this post I’m looking at another use for the command line tools, namely using them to generate up-to-date documentation with every database change. There are many reasons why up-to-date documentation is valuable. For example when somebody new has to work on or administer a database for the first time, or when a new database comes into service. Having database documentation reduces the risks of making incorrect decisions when making changes. Documentation is very useful to business intelligence analysts when writing reports, for example in SSRS. There are a couple of great examples talking about why up to date documentation is valuable on this site:  Database Documentation – Lands of Trolls: Why and How? and Database Documentation Using SQL Doc. The short answer is that it can save you time and reduce risk when you need that most! SQL Doc is a fast simple tool that automatically generates database documentation. It can create documents in HTML, Word or pdf files. The documentation contains information about object definitions and dependencies, along with any other information you want to associate with each object. The SQL Doc GUI, which is included in Red Gate’s SQL Developer Bundle and SQL Toolbelt, allows you to add additional notes to objects, and customise which objects are shown in the docs.  These settings can be saved as a .sqldoc project file. The SQL Doc command line can use this project file to automatically update the documentation every time the database is changed, ensuring that documentation that is always up to date. The simplest way to keep documentation up to date is probably to use a scheduled task to run a script every day. However if you have a source controlled database, or are using a Continuous Integration (CI) server or a build server, it may make more sense to use that instead. If  you’re using SQL Source Control or SSDT Database Projects to help version control your database, you can automatically update the documentation after each change is made to the source control repository that contains your database. To get this automation in place,  you can use the functionality of a Continuous Integration (CI) server, which can trigger commands to run when a source control repository has changed. A CI server will also capture and save the documentation that is created as an artifact, so you can always find the exact documentation for a specific version of the database. This forms an always up to date data dictionary. If you don’t already have a CI server in place there are several you can use, such as the free open source Jenkins or the free starter editions of TeamCity. I won’t cover setting these up in this article, but there is information about using CI servers for automating database tasks on the Red Gate Database Delivery webpage. You may be interested in Red Gate’s SQL CI utility (part of the SQL Automation Pack) which is an easy way to update a database with the latest changes from source control. The PowerShell example below shows how to create the documentation from a database. That database might be your integration database or a shared development database that is always up to date with the latest changes. $serverName = "server\instance" $databaseName = "databaseName" # If you want to document multiple databases use a comma separated list $userName = "username" $password = "password" # Path to SQLDoc.exe $SQLDocPath = "C:\Program Files (x86)\Red Gate\SQL Doc 3\SQLDoc.exe" $arguments = @( "/server:$($serverName)", "/database:$($databaseName)", "/username:$($userName)", "/password:$($password)", "/filetype:html", "/outputfolder:.", # "/project:$args[0]", # If you already have a .sqldoc project file you can pass it as an argument to this script. Values in the project will be overridden with any options set on the command line "/name:$databaseName Report", "/copyrightauthor:$([Environment]::UserName)" ) write-host $arguments & $SQLDocPath $arguments There are several options you can set on the command line to vary how your documentation is created. For example, you can document multiple databases or exclude certain types of objects. In the example above, we set the name of the report to match the database name, and use the current Windows user as the documentation author. For more examples of how you can customise the report from the command line please see the SQL Doc command line documentation If you already have a .sqldoc project file, or wish to further customise the report by including or excluding specific objects, you can use this project on the command line. Any settings you specify on the command line will override the defaults in the project. For details of what you can customise in the project please see the SQL Doc project documentation. In the example above, the line to use a project is commented out, but you can uncomment this line and then pass a path to a .sqldoc project file as an argument to this script.  Conclusion Keeping documentation about your databases up to date is very easy to set up using SQL Doc and PowerShell. By using a CI server to run this process you can trigger the documentation to be run on every change to a source controlled database, and keep historic documentation available. If you are considering more advanced database automation, e.g. database unit testing, change script generation, deploying to large numbers of targets and backup/verification, please email me at [email protected] for further script samples or if you have any questions.

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  • Welcome Oracle Data Integration 12c: Simplified, Future-Ready Solutions with Extreme Performance

    - by Irem Radzik
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 The big day for the Oracle Data Integration team has finally arrived! It is my honor to introduce you to Oracle Data Integration 12c. Today we announced the general availability of 12c release for Oracle’s key data integration products: Oracle Data Integrator 12c and Oracle GoldenGate 12c. The new release delivers extreme performance, increase IT productivity, and simplify deployment, while helping IT organizations to keep pace with new data-oriented technology trends including cloud computing, big data analytics, real-time business intelligence. With the 12c release Oracle becomes the new leader in the data integration and replication technologies as no other vendor offers such a complete set of data integration capabilities for pervasive, continuous access to trusted data across Oracle platforms as well as third-party systems and applications. Oracle Data Integration 12c release addresses data-driven organizations’ critical and evolving data integration requirements under 3 key themes: Future-Ready Solutions Extreme Performance Fast Time-to-Value       There are many new features that support these key differentiators for Oracle Data Integrator 12c and for Oracle GoldenGate 12c. In this first 12c blog post, I will highlight only a few:·Future-Ready Solutions to Support Current and Emerging Initiatives: Oracle Data Integration offer robust and reliable solutions for key technology trends including cloud computing, big data analytics, real-time business intelligence and continuous data availability. Via the tight integration with Oracle’s database, middleware, and application offerings Oracle Data Integration will continue to support the new features and capabilities right away as these products evolve and provide advance features. E    Extreme Performance: Both GoldenGate and Data Integrator are known for their high performance. The new release widens the gap even further against competition. Oracle GoldenGate 12c’s Integrated Delivery feature enables higher throughput via a special application programming interface into Oracle Database. As mentioned in the press release, customers already report up to 5X higher performance compared to earlier versions of GoldenGate. Oracle Data Integrator 12c introduces parallelism that significantly increases its performance as well. Fast Time-to-Value via Higher IT Productivity and Simplified Solutions:  Oracle Data Integrator 12c’s new flow-based declarative UI brings superior developer productivity, ease of use, and ultimately fast time to market for end users.  It also gives the ability to seamlessly reuse mapping logic speeds development.Oracle GoldenGate 12c ‘s Integrated Delivery feature automatically optimally tunes the process, saving time while improving performance. This is just a quick glimpse into Oracle Data Integrator 12c and Oracle GoldenGate 12c. On November 12th we will reveal much more about the new release in our video webcast "Introducing 12c for Oracle Data Integration". Our customer and partner speakers, including SolarWorld, BT, Rittman Mead will join us in launching the new release. Please join us at this free event to learn more from our executives about the 12c release, hear our customers’ perspectives on the new features, and ask your questions to our experts in the live Q&A. Also, please continue to follow our blogs, tweets, and Facebook updates as we unveil more about the new features of the latest release. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • MSSQL: Copying data from one database to another

    - by DigiMortal
    I have database that has data imported from another server using import and export wizard of SQL Server Management Studio. There is also empty database with same tables but it also has primary keys, foreign keys and indexes. How to get data from first database to another? Here is the description of my crusade. And believe me – it is not nice one. Bugs in import and export wizard There is some awful bugs in import and export wizard that makes data imports and exports possible only on very limited manner: wizard is not able to analyze foreign keys, wizard wants to create tables always, whatever you say in settings. The result is faulty and useless package. Now let’s go step by step and make things work in our scenario. Database There are two databases. Let’s name them like this: PLAIN – contains data imported from remote server (no indexes, no keys, no nothing, just plain dumb data) CORRECT – empty database with same structure as remote database (indexes, keys and everything else but no data) Our goal is to get data from PLAIN to CORRECT. 1. Create import and export package In this point we will create faulty SSIS package using SQL Server Management Studio. Run import and export wizard and let it create SSIS package that reads data from CORRECT and writes it to, let’s say, CORRECT-2. Make sure you enable identity insert. Make sure there are no views selected. Make sure you don’t let package to create tables (you can miss this step because it wants to create tables anyway). Save package to SSIS. 2. Modify import and export package Now let’s clean up the package and remove all faulty crap. Connect SQL Server Management Studio to SSIS instance. Select the package you just saved and export it to your hard disc. Run Business Intelligence Studio. Create new SSIS project (DON’T MISS THIS STEP). Add package from disc as existing item to project and open it. Move to Control Flow page do one of following: Remove all preparation SQL-tasks and connect Data Flow tasks. Modify all preparation SQL-tasks so the existence of tables is checked before table is created (yes, you have to do it manually). Add new Execute-SQL task as first task in control flow: Open task properties. Assign destination connection as connection to use. Insert the following SQL as command:   EXEC sp_MSForEachTable 'ALTER TABLE ? NOCHECK CONSTRAINT ALL' GO   EXEC sp_MSForEachTable 'DELETE FROM ?' GO   Save task. Add new Execute-SQL task as last task in control flow: Open task properties. Assign destination connection as connection to use. Insert the following SQL as command:   EXEC sp_MSForEachTable 'ALTER TABLE ? CHECK CONSTRAINT ALL' GO   Save task Now connect first Execute-SQL task with first Data Flow task and last Data Flow task with second Execute-SQL task. Now move to Package Explorer tab and change connections under Connection Managers folder. Make source connection to use database PLAIN. Make destination connection to use database CORRECT. Save package and rebuilt the project. Update package using SQL Server Management Studio. Some hints: Make sure you take the package from solution folder because it is saved there now. Don’t overwrite existing package. Use numeric suffix and let Management Studio to create a new version of package. Now you are done with your package. Run it to test it and clean out all the errors you find. TRUNCATE vs DELETE You can see that I used DELETE FROM instead of TRUNCATE. Why? Because TRUNCATE has some nasty limits (taken from MSDN): “You cannot use TRUNCATE TABLE on a table referenced by a FOREIGN KEY constraint; instead, use DELETE statement without a WHERE clause. Because TRUNCATE TABLE is not logged, it cannot activate a trigger. TRUNCATE TABLE may not be used on tables participating in an indexed view.” As I am not sure what tables you have and how they are used I provided here the solution that should work for all scenarios. If you need better performance then in some cases you can use TRUNCATE table instead of DELETE. Conclusion My conclusion is bitter this time although I am very positive guy. It is A.D. 2010 and still we have to write stupid hacks for simple things. Simple tools that existed before are long gone and we have to live mysterious bloatware that is our only choice when using default tools. If you take a look at the length of this posting and the count of steps I had to do for one easy thing you should treat it as a signal that something has went wrong in last years. Although I got my job done I would be still more happy if out of box tools are more intelligent one day. References T-SQL Trick for Deleting All Data in Your Database (Mauro Cardarelli) TRUNCATE TABLE (MSDN Library) Error Handling in SQL 2000 – a Background (Erland Sommarskog) Disable/Enable Foreign Key and Check constraints in SQL Server (Decipher)

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  • Best practice to query data from MS SQL Server in C Sharp?

    - by Bruno
    What is the best way to query data from a MS SQL Server in C Sharp? I know that it is not good practice to have an SQL query in the code. Is the best way to create a stored procedure and call it from C Sharp with parameters? using (var conn = new SqlConnection(connStr)) using (var command = new SqlCommand("StoredProc", conn) { CommandType = CommandType.StoredProcedure }) { conn.Open(); command.ExecuteNonQuery(); conn.Close(); }

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  • Integrating Nagios with a ticketing system/incident mnagement system

    - by sektor
    Is there a free ticketing system/incident management system which will help me in achieving the following? 1) If a service goes down then Nagios alerts the on-duty staff and pushes the status to some backend or DB as a ticket, say the initial status is "New". 2) The on-duty staff logs in through a frontend and acknowledges the new ticket by marking it as "In progress", so now the status of the ticket changes from "New" to "In progress". 3) If even after "n" number of minutes no person from on-duty staff has changed the ticket status to "In progress" then Nagios alerts the next level of contacts. Although if the on-duty staff has acknowledged the ticket then there is no need to alert the next level. 4) When the service comes up Nagios closes the ticket by marking it "Closed" Now I already have Nagios monitoring set up and currently it alerts by sending text messages and mails, what I'm looking for is some framework which only escalates the issue(alerts the second level) if the first level(on-duty staff) fails to respond to the initial alert. By "responding to the alert" I mean, the on-duty staff can login via some frontend and basically change the status to something like "Acknowledged" or "In progress".

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  • The best, in the West

    - by Fatherjack
    As many of you know, I run the SQL South West user group and we are currently in full flow preparing to stage the UK’s second SQL Saturday. The SQL Saturday spotlight is going to fall on Exeter in March 2013. We have full-day session on Friday 8th with some truly amazing speakers giving their insights and experience into some vital areas of working with SQL Server: Dave Ballantyne and Dave Morrison – TSQL and internals Christian Bolton and Gavin Payne – Mission critical data platforms on Windows Server 2012 Denny Cherry – SQL Server Security André Kamman – Powershell 3.0 for SQL Server Administrators and Developers Mladen Prajdic – From SQL Traces to Extended Events – The next big switch. A number of people have claimed that the choice is too good and they’d have trouble selecting just one session to attend. I can see how this is a problem but hope that they make their minds up quickly. The venue is a bespoke conference suite in the centre of Exeter but has limited capacity so we are working on a first-come first-served basis. All the session details and booking and travel information can be found on our user group website. The Saturday will be a day of free, 50 minute sessions on all aspects SQL Server from almost 30 different speakers. If you would like to submit a session then get a move on as submissions close on 8th January 2013 (That’s less than a month away). We are really interested in getting new speakers started so we have a lightning talk session where you can come along and give a small talk (anywhere from 5 to 15 minutes long) about anything connected with SQL Server as a way to introduce you to what it’s like to be a speaker at an event. Details on registering to attend and to submit a session (Lightning talks need to be submitted too please) can be found on our SQL Saturday pages. This is going to be the biggest and best bespoke SQL Server conference to ever take place this far South West in the UK and we aim to give everyone who comes to either day a real experience of the South West so we have a few surprises for you on the day.

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  • Idea to develop a caching server between IIS and SQL Server

    - by John
    I work on a few high traffic websites that all share the same database and that are all heavily database driven. Our SQL server is max-ed out and, although we have already implemented many changes that have helped but the server is still working too hard. We employ some caching in our website but the type of queries we use negate using SQL dependency caching. We tried SQL replication to try and kind of load balance but that didn't prove very successful because the replication process is quite demanding on the servers too and it needed to be done frequently as it is important that data is up to date. We do use a Varnish web caching server (Linux based) to take a bit of the load off both the web and database server but as a lot of the sites are customised based on the user we can only do so much. Anyway, the reason for this question... Varnish gave me an idea for a possible application that might help in this situation. Just like Varnish sits between a web browser and the web server and caches response from the web server, I was wondering about the possibility of creating something that sits between the web server and the database server. Imagine that all SQL queries go through this SQL caching server. If it's a first time query then it will get recorded, and the result requested from the SQL server and stored locally on the cache server. If it's a repeat request within a set time then the result gets retrieved from the local copy without the query being sent to the SQL server. The caching server could also take advantage of SQL dependency caching notifications. This seems like a good idea in theory. There's still the same amount of data moving back and forward from the web server, but the SQL server is relieved of the work of processing the repeat queries. I wonder about how difficult it would be to build a service that sort of emulates requests and responses from SQL server, whether SQL server's own caching is doing enough of this already that this wouldn't be a benefit, or even if someone has done this before and I haven't found it? I would welcome any feedback or any references to any relevant projects.

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  • [Silverlight] Suggestion – Move INotifyCollectionChanged from System.Windows.dll to System.dll

    - by Benjamin Roux
    I just submitted a suggestion on Microsoft Connect to move the INotifyCollectionChanged from System.Windows.dll to System.dll. You can review it here: https://connect.microsoft.com/VisualStudio/feedback/details/560184/move-inotifycollectionchanged-from-system-windows-dll-to-system-dll Here’s the reason why I suggest that. Actually I wanted to take advantages of the new feature of Silverlight/Visual Studio 2010 for sharing assemblies (see http://blogs.msdn.com/clrteam/archive/2009/12/01/sharing-silverlight-assemblies-with-net-apps.aspx). Everything went fine until I try to share a custom collection (with custom business logic) implementing INotifyCollectionChanged. This modification has been made in the .NET Framework 4 (see https://connect.microsoft.com/VisualStudio/feedback/details/488607/move-inotifycollectionchanged-to-system-dll) so maybe it could be done in Silverlight too. If you think this is justifiable you can vote for it.

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