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  • MySQL Cluster 7.3 Labs Release – Foreign Keys Are In!

    - by Mat Keep
    0 0 1 1097 6254 Homework 52 14 7337 14.0 Normal 0 false false false EN-US JA X-NONE /* 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-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary (aka TL/DR): Support for Foreign Key constraints has been one of the most requested feature enhancements for MySQL Cluster. We are therefore extremely excited to announce that Foreign Keys are part of the first Labs Release of MySQL Cluster 7.3 – available for download, evaluation and feedback now! (Select the mysql-cluster-7.3-labs-June-2012 build) In this blog, I will attempt to discuss the design rationale, implementation, configuration and steps to get started in evaluating the first MySQL Cluster 7.3 Labs Release. Pace of Innovation It was only a couple of months ago that we announced the General Availability (GA) of MySQL Cluster 7.2, delivering 1 billion Queries per Minute, with 70x higher cross-shard JOIN performance, Memcached NoSQL key-value API and cross-data center replication.  This release has been a huge hit, with downloads and deployments quickly reaching record levels. The announcement of the first MySQL Cluster 7.3 Early Access lab release at today's MySQL Innovation Day event demonstrates the continued pace in Cluster development, and provides an opportunity for the community to evaluate and feedback on new features they want to see. What’s the Plan for MySQL Cluster 7.3? Well, Foreign Keys, as you may have gathered by now (!), and this is the focus of this first Labs Release. As with MySQL Cluster 7.2, we plan to publish a series of preview releases for 7.3 that will incrementally add new candidate features for a final GA release (subject to usual safe harbor statement below*), including: - New NoSQL APIs; - Features to automate the configuration and provisioning of multi-node clusters, on premise or in the cloud; - Performance and scalability enhancements; - Taking advantage of features in the latest MySQL 5.x Server GA. Design Rationale MySQL Cluster is designed as a “Not-Only-SQL” database. It combines attributes that enable users to blend the best of both relational and NoSQL technologies into solutions that deliver web scalability with 99.999% availability and real-time performance, including: Concurrent NoSQL and SQL access to the database; Auto-sharding with simple scale-out across commodity hardware; Multi-master replication with failover and recovery both within and across data centers; Shared-nothing architecture with no single point of failure; Online scaling and schema changes; ACID compliance and support for complex queries, across shards. Native support for Foreign Key constraints enables users to extend the benefits of MySQL Cluster into a broader range of use-cases, including: - Packaged applications in areas such as eCommerce and Web Content Management that prescribe databases with Foreign Key support. - In-house developments benefiting from Foreign Key constraints to simplify data models and eliminate the additional application logic needed to maintain data consistency and integrity between tables. Implementation The Foreign Key functionality is implemented directly within MySQL Cluster’s data nodes, allowing any client API accessing the cluster to benefit from them – whether using SQL or one of the NoSQL interfaces (Memcached, C++, Java, JPA or HTTP/REST.) The core referential actions defined in the SQL:2003 standard are implemented: CASCADE RESTRICT NO ACTION SET NULL In addition, the MySQL Cluster implementation supports the online adding and dropping of Foreign Keys, ensuring the Cluster continues to serve both read and write requests during the operation. An important difference to note with the Foreign Key implementation in InnoDB is that MySQL Cluster does not support the updating of Primary Keys from within the Data Nodes themselves - instead the UPDATE is emulated with a DELETE followed by an INSERT operation. Therefore an UPDATE operation will return an error if the parent reference is using a Primary Key, unless using CASCADE action, in which case the delete operation will result in the corresponding rows in the child table being deleted. The Engineering team plans to change this behavior in a subsequent preview release. Also note that when using InnoDB "NO ACTION" is identical to "RESTRICT". In the case of MySQL Cluster “NO ACTION” means “deferred check”, i.e. the constraint is checked before commit, allowing user-defined triggers to automatically make changes in order to satisfy the Foreign Key constraints. Configuration There is nothing special you have to do here – Foreign Key constraint checking is enabled by default. If you intend to migrate existing tables from another database or storage engine, for example from InnoDB, there are a couple of best practices to observe: 1. Analyze the structure of the Foreign Key graph and run the ALTER TABLE ENGINE=NDB in the correct sequence to ensure constraints are enforced 2. Alternatively drop the Foreign Key constraints prior to the import process and then recreate when complete. Getting Started Read this blog for a demonstration of using Foreign Keys with MySQL Cluster.  You can download MySQL Cluster 7.3 Labs Release with Foreign Keys today - (select the mysql-cluster-7.3-labs-June-2012 build) If you are new to MySQL Cluster, the Getting Started guide will walk you through installing an evaluation cluster on a singe host (these guides reflect MySQL Cluster 7.2, but apply equally well to 7.3) Post any questions to the MySQL Cluster forum where our Engineering team will attempt to assist you. Post any bugs you find to the MySQL bug tracking system (select MySQL Cluster from the Category drop-down menu) And if you have any feedback, please post them to the Comments section of this blog. Summary MySQL Cluster 7.2 is the GA, production-ready release of MySQL Cluster. This first Labs Release of MySQL Cluster 7.3 gives you the opportunity to preview and evaluate future developments in the MySQL Cluster database, and we are very excited to be able to share that with you. Let us know how you get along with MySQL Cluster 7.3, and other features that you want to see in future releases. * Safe Harbor Statement This information is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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  • ORA-06502: PL/SQL: numeric or value error: character string buffer too small with Oracle aggregate f

    - by Tunde
    Good day gurus, I have a script that populates tables on a regular basis that crashed and gave the above error. The strange thing is that it has been running for close to 3 months on the production system with no problems and suddenly crashed last week. There has not been any changes on the tables as far as I know. Has anyone encountered something like this before? I believe it has something to do with the aggregate functions I'm implementing in it; but it worked initially. please; kindly find attached the part of the script I've developed into a procedure that I reckon gives the error. CREATE OR REPLACE PROCEDURE V1 IS --DECLARE v_a VARCHAR2(4000); v_b VARCHAR2(4000); v_c VARCHAR2(4000); v_d VARCHAR2(4000); v_e VARCHAR2(4000); v_f VARCHAR2(4000); v_g VARCHAR2(4000); v_h VARCHAR2(4000); v_i VARCHAR2(4000); v_j VARCHAR2(4000); v_k VARCHAR2(4000); v_l VARCHAR2(4000); v_m VARCHAR2(4000); v_n NUMBER(10); v_o VARCHAR2(4000); -- -- Procedure that populates DEMO table BEGIN -- Delete all from the DEMO table DELETE FROM DEMO; -- Populate fields in DEMO from DEMOV1 INSERT INTO DEMO(ID, D_ID, CTR_ID, C_ID, DT_NAM, TP, BYR, ENY, ONG, SUMM, DTW, REV, LD, MD, STAT, CRD) SELECT ID, D_ID, CTR_ID, C_ID, DT_NAM, TP, TO_NUMBER(TO_CHAR(BYR,'YYYY')), TO_NUMBER(TO_CHAR(NVL(ENY,SYSDATE),'YYYY')), CASE WHEN ENY IS NULL THEN 'Y' ELSE 'N' END, SUMMARY, DTW, REV, LD, MD, '1', SYSDATE FROM DEMOV1; -- LOOP THROUGH DEMO TABLE FOR j IN (SELECT ID, CTR_ID, C_ID FROM DEMO) LOOP Select semic_concat(TXTDESC) INTO v_a From GEOT WHERE ID = j.ID; SELECT COUNT(*) INTO v_n FROM MERP M, PROJ P WHERE M.MID = P.COD AND ID = j.ID AND PROAC IS NULL; IF (v_n > 0) THEN Select semic_concat(PRO) INTO v_b FROM MERP M, PROJ P WHERE M.MID = P.COD AND ID = j.ID; ELSE Select semic_concat(PRO || '(' || PROAC || ')' ) INTO v_b FROM MERP M, PROJ P WHERE M.MID = P.COD AND ID = j.ID; END IF; Select semic_concat(VOCNAME('P02',COD)) INTO v_c From PAR WHERE ID = j.ID; Select semic_concat(VOCNAME('L05',COD)) INTO v_d From INST WHERE ID = j.ID; Select semic_concat(NVL(AUTHOR,'Anon') ||' ('||to_char(PUB,'YYYY')||') '||TITLE||', '||EDT) INTO v_e From REFE WHERE ID = j.ID; Select semic_concat(NAM) INTO v_f FROM EDM E, EDO EO WHERE E.EDMID = EO.EDOID AND ID = j.ID; Select semic_concat(VOCNAME('L08', COD)) INTO v_g FROM AVA WHERE ID = j.ID; SELECT or_concat(NAM) INTO v_o FROM CON WHERE ID = j.ID AND NAM = 'Unknown'; IF (v_o = 'Unknown') THEN Select or_concat(JOBTITLE || ' (' || EMAIL || ')') INTO v_h FROM CON WHERE ID = j.ID; ELSE Select or_concat(NAM || ' (' || EMAIL || ')') INTO v_h FROM CON WHERE ID = j.ID; END IF; Select commaencap_concat(COD) INTO v_i FROM PAR WHERE ID = j.ID; IF (v_i = ',') THEN v_i := null; ELSE Select commaencap_concat(COD) INTO v_i FROM PAR WHERE ID = j.ID; END IF; Select commaencap_concat(COD) INTO v_j FROM INST WHERE ID = j.ID; IF (v_j = ',') THEN v_j := null; ELSE Select commaencap_concat(COD) INTO v_j FROM INST WHERE ID = j.ID; END IF; Select commaencap_concat(COD) INTO v_k FROM SAR WHERE ID = j.ID; IF (v_k = ',') THEN v_k := null; ELSE Select commaencap_concat(COD) INTO v_k FROM SAR WHERE ID = j.ID; END IF; Select commaencap_concat(CONID) INTO v_l FROM CON WHERE ID = j.ID; IF (v_l = ',') THEN v_l := null; ELSE Select commaencap_concat(CONID) INTO v_l FROM CON WHERE ID = j.ID; END IF; Select commaencap_concat(PROID) INTO v_m FROM PRO WHERE ID = j.ID; IF (v_m = ',') THEN v_m := null; ELSE Select commaencap_concat(PROID) INTO v_m FROM PRO WHERE ID = j.ID; END IF; -- UPDATE DEMO TABLE UPDATE DEMO SET GEOC = v_a, PRO = v_b, PAR = v_c, INS = v_d, REFER = v_e, ORGR = v_f, AVAY = v_g, CON = v_h, DTH = v_i, INST = v_j, SA = v_k, CC = v_l, EDPR = v_m, CTR = (SELECT NAM FROM EDM WHERE EDMID = j.CTR_ID), COLL = (SELECT NAM FROM EDM WHERE EDMID = j.C_ID) WHERE ID = j.ID; END LOOP; END V1; / The aggregate functions, commaencap_concat (encapsulates with a comma), or_concat (concats with an or) and semic_concat(concats with a semi-colon). the remaining tables used are all linked to the main table DEMO. I have checked the column sizes and there seems to be no problem. I tried executing the SELECT statements alone and they give the same error without populating the tables. Any clues? Many thanks for your anticipated support.

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  • MySQL for Excel 1.1.3 has been released

    - by Javier Treviño
    The MySQL Windows Experience Team is proud to announce the release of MySQL for Excel version 1.1.3, the  latest addition to the MySQL Installer for Windows. MySQL for Excel is an application plug-in enabling data analysts to very easily access and manipulate MySQL data within Microsoft Excel. It enables you to directly work with a MySQL database from within Microsoft Excel so you can easily do tasks such as: Importing MySQL Data into Excel Exporting Excel data directly into MySQL to a new or existing table Editing MySQL data directly within Excel MySQL for Excel is installed using the MySQL Installer for Windows. The MySQL installer comes in 2 versions   Full (150 MB) which includes a complete set of MySQL products with their binaries included in the download Web (1.5 MB - a network install) which will just pull MySQL for Excel over the web and install it when run.   You can download MySQL Installer from our official Downloads page at http://dev.mysql.com/downloads/installer/. MySQL for Excel 1.1.3 introduces the following features:   Upon saving a Workbook containing Worksheets in Edit Mode, the user is asked if he wants to exit the Edit Mode on all Worksheets before their parent Workbook is saved so the Worksheets are saved unprotected, otherwise the Worksheets will remain protected and the users will be able to unprotect them later retrieving the passkeys from the application log after closing MySQL for Excel. Added background coloring to the column names header row of an Import Data operation to have the same look as the one in an Edit Data operation (i.e. gray-ish background). Connection passwords can be stored securely just like MySQL Workbench does and these secured passwords are shared with Workbench in the same way connections are. Changed the way the MySQL for Excel ribbon toggle button works, instead of just showing or hiding the add-in it actually opens and closes it. Added a connection test before any operation against the database (schema creation, data import, append, export or edition) so the operation dialog is not shown and a friendlier error message is shown.   Also this release contains the following bug fixes:   Added a check on every connection test for an expired password, if the password has been expired a dialog is now shown to the user to reset the password. Bug #17354118 - DON'T HANDLE EXPIRED PASSWORDS Added code to escape text values to be imported to an Excel worksheet that start with an equals sign so Excel does not treat those values as formulas that will fail evaluation. This is an option turned on by default that can be turned off by users if they wish to import values to be treated as Excel formulas. Bug #17354102 - ERROR IMPORTING TEXT VALUES TO EXCEL STARTING WITH AN EQUALS SIGN Added code to properly check the reason for a failing connection, if it's a failing password the user gets a dialog to retry the connection with a different password until the connection succeeds, a connection error not related to the password is thrown or the user cancels. If the failing connection is not related to a bad password an error message is shown to the users indicating the reason of the failure. Bug #16239007 - CONNECTIONS TO MYSQL SERVICES NOT RUNNING DISPLAY A WRONG PASSWORD ERROR MESSAGE Added global options dialog that can be accessed from the Schema Selection and DB Object Selection panels where the timeouts for the connection to the DB Server and for the query commands can be changed from their default values (15 seconds for the connection timeout and 30 seconds for the query timeout). MySQL Bug #68732, Bug #17191646 - QUERY TIMEOUT CANNOT BE ADJUSTED IN MYSQL FOR EXCEL Changed the Varchar(65,535) data type shown in the Export Data data type combo box to Text since the maximum row size is 65,535 bytes and any autodetected column data type with a length greater than 4,000 should be set to Text actually for the table to be created successfully. MySQL Bug #69779, Bug #17191633 - EXPORT FAILS FOR EXCEL FILES CONTAINING > 4000 CHARACTERS OF TEXT PER CELL Removed code that was replacing all spaces typed by the user in an overriden data type for a new column in an Export Data operation, also improved the data type detection code to flag as invalid data types with parenthesis but without any text inside or where the contents inside the parenthesis are not valid for the specific data type. Bug #17260260 - EXPORT DATA SET TYPE NOT WORKING WITH MEMBER VALUES CONTAINING SPACES Added support for the year data type with a length of 2 or 4 and a validation that valid values are integers between 1901-2155 (for 4-digit years) or between 0-99 (for 2-digit years). Bug #17259915 - EXPORT DATA YEAR DATA TYPE NOT RECOGNIZED IF DECLARED WITH A DISPLAY WIDTH) Fixed code for Export Data operations where users overrode the data type for columns typing Text in the data type combobox, which is a valid data type but was not recognized as such. Bug #17259490 - EXPORT DATA TEXT DATA TYPE NOT RECOGNIZED AS A VALID DATA TYPE Changed the location of the registry where the MySQL for Excel add-in is installed to HKEY_LOCAL_MACHINE instead of HKEY_CURRENT_USER so the add-in is accessible by all users and not only to the user that installed it. For this to work with Excel 2007 a hotfix may be required (see http://support.microsoft.com/kb/976477). MySQL Bug #68746, Bug #16675992 - EXCEL-ADD-IN IS ONLY INSTALLED FOR USER ACCOUNT THAT THE INSTALLATION RUNS UNDER Added support for Excel 2013 Single Document Interface, now that Excel 2013 creates 1 window per workbook also the Excel Add-In maintains an independent custom task pane in each window. MySQL Bug #68792, Bug #17272087 - MYSQL FOR EXCEL SIDEBAR DOES NOT APPEAR IN EXCEL 2013 (WITH WORKAROUND) Included the latest MySQL Utility with a code fix for the COM exception thrown when attempting to open Workbench in the Manage Connections window. Bug #17258966 - MYSQL WORKBENCH NOT OPENED BY CLICKING MANAGE CONNECTIONS HOTLABEL Fixed code for Append Data operations that was not applying a calculated automatic mapping correctly when the source and target tables had different number of columns, some columns with the same name but some of those lying on column indexes beyond the limit of the other source/target table. MySQL Bug #69220, Bug #17278349 - APPEND DOESN'T AUTOMATICALLY DETECT EXCEL COL HEADER WITH SAME NAME AS SQL FIELD Fixed some code for Edit Data operations that was escaping special characters twice (during edition in Excel and then upon sending the query to the MySQL server). MySQL Bug #68669, Bug #17271693 - A BACKSLASH IS INSERTED BEFORE AN APOSTROPHE EDITING TABLE WITH MYSQL FOR EXCEL Upgraded MySQL Utility with latest version that encapsulates dialog base classes and introduces more classes to handle Workbench connections, and removed these from the Excel project. Bug #16500331 - CAN'T DELETE CONNECTIONS CREATED WITHIN ADDIN You can access the MySQL for Excel documentation at http://dev.mysql.com/doc/refman/5.6/en/mysql-for-excel.html You can find our team’s blog at http://blogs.oracle.com/MySQLOnWindows. You can also post questions on our MySQL for Excel forum found at http://forums.mysql.com/. Enjoy and thanks for the support!

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  • Guide to MySQL & NoSQL, Webinar Q&A

    - by Mat Keep
    0 0 1 959 5469 Homework 45 12 6416 14.0 Normal 0 false false false EN-US JA X-NONE /* 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-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Yesterday we ran a webinar discussing the demands of next generation web services and how blending the best of relational and NoSQL technologies enables developers and architects to deliver the agility, performance and availability needed to be successful. Attendees posted a number of great questions to the MySQL developers, serving to provide additional insights into areas like auto-sharding and cross-shard JOINs, replication, performance, client libraries, etc. So I thought it would be useful to post those below, for the benefit of those unable to attend the webinar. Before getting to the Q&A, there are a couple of other resources that maybe useful to those looking at NoSQL capabilities within MySQL: - On-Demand webinar (coming soon!) - Slides used during the webinar - Guide to MySQL and NoSQL whitepaper  - MySQL Cluster demo, including NoSQL interfaces, auto-sharing, high availability, etc.  So here is the Q&A from the event  Q. Where does MySQL Cluster fit in to the CAP theorem? A. MySQL Cluster is flexible. A single Cluster will prefer consistency over availability in the presence of network partitions. A pair of Clusters can be configured to prefer availability over consistency. A full explanation can be found on the MySQL Cluster & CAP Theorem blog post.  Q. Can you configure the number of replicas? (the slide used a replication factor of 1) Yes. A cluster is configured by an .ini file. The option NoOfReplicas sets the number of originals and replicas: 1 = no data redundancy, 2 = one copy etc. Usually there's no benefit in setting it >2. Q. Interestingly most (if not all) of the NoSQL databases recommend having 3 copies of data (the replication factor).    Yes, with configurable quorum based Reads and writes. MySQL Cluster does not need a quorum of replicas online to provide service. Systems that require a quorum need > 2 replicas to be able to tolerate a single failure. Additionally, many NoSQL systems take liberal inspiration from the original GFS paper which described a 3 replica configuration. MySQL Cluster avoids the need for a quorum by using a lightweight arbitrator. You can configure more than 2 replicas, but this is a tradeoff between incrementally improved availability, and linearly increased cost. Q. Can you have cross node group JOINS? Wouldn't that run into the risk of flooding the network? MySQL Cluster 7.2 supports cross nodegroup joins. A full cross-join can require a large amount of data transfer, which may bottleneck on network bandwidth. However, for more selective joins, typically seen with OLTP and light analytic applications, cross node-group joins give a great performance boost and network bandwidth saving over having the MySQL Server perform the join. Q. Are the details of the benchmark available anywhere? According to my calculations it results in approx. 350k ops/sec per processor which is the largest number I've seen lately The details are linked from Mikael Ronstrom's blog The benchmark uses a benchmarking tool we call flexAsynch which runs parallel asynchronous transactions. It involved 100 byte reads, of 25 columns each. Regarding the per-processor ops/s, MySQL Cluster is particularly efficient in terms of throughput/node. It uses lock-free minimal copy message passing internally, and maximizes ID cache reuse. Note also that these are in-memory tables, there is no need to read anything from disk. Q. Is access control (like table) planned to be supported for NoSQL access mode? Currently we have not seen much need for full SQL-like access control (which has always been overkill for web apps and telco apps). So we have no plans, though especially with memcached it is certainly possible to turn-on connection-level access control. But specifically table level controls are not planned. Q. How is the performance of memcached APi with MySQL against memcached+MySQL or any other Object Cache like Ecache with MySQL DB? With the memcache API we generally see a memcached response in less than 1 ms. and a small cluster with one memcached server can handle tens of thousands of operations per second. Q. Can .NET can access MemcachedAPI? Yes, just use a .Net memcache client such as the enyim or BeIT memcache libraries. Q. Is the row level locking applicable when you update a column through memcached API? An update that comes through memcached uses a row lock and then releases it immediately. Memcached operations like "INCREMENT" are actually pushed down to the data nodes. In most cases the locks are not even held long enough for a network round trip. Q. Has anyone published an example using something like PHP? I am assuming that you just use the PHP memcached extension to hook into the memcached API. Is that correct? Not that I'm aware of but absolutely you can use it with php or any of the other drivers Q. For beginner we need more examples. Take a look here for a fully worked example Q. Can I access MySQL using Cobol (Open Cobol) or C and if so where can I find the coding libraries etc? A. There is a cobol implementation that works well with MySQL, but I do not think it is Open Cobol. Also there is a MySQL C client library that is a standard part of every mysql distribution Q. Is there a place to go to find help when testing and/implementing the NoSQL access? If using Cluster then you can use the [email protected] alias or post on the MySQL Cluster forum Q. Are there any white papers on this?  Yes - there is more detail in the MySQL Guide to NoSQL whitepaper If you have further questions, please don’t hesitate to use the comments below!

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  • SQL University: What and why of database refactoring

    - by Mladen Prajdic
    This is a post for a great idea called SQL University started by Jorge Segarra also famously known as SqlChicken on Twitter. It’s a collection of blog posts on different database related topics contributed by several smart people all over the world. So this week is mine and we’ll be talking about database testing and refactoring. In 3 posts we’ll cover: SQLU part 1 - What and why of database testing SQLU part 2 - What and why of database refactoring SQLU part 3 - Tools of the trade This is a second part of the series and in it we’ll take a look at what database refactoring is and why do it. Why refactor a database To know why refactor we first have to know what refactoring actually is. Code refactoring is a process where we change module internals in a way that does not change that module’s input/output behavior. For successful refactoring there is one crucial thing we absolutely must have: Tests. Automated unit tests are the only guarantee we have that we haven’t broken the input/output behavior before refactoring. If you haven’t go back ad read my post on the matter. Then start writing them. Next thing you need is a code module. Those are views, UDFs and stored procedures. By having direct table access we can kiss fast and sweet refactoring good bye. One more point to have a database abstraction layer. And no, ORM’s don’t fall into that category. But also know that refactoring is NOT adding new functionality to your code. Many have fallen into this trap. Don’t be one of them and resist the lure of the dark side. And it’s a strong lure. We developers in general love to add new stuff to our code, but hate fixing our own mistakes or changing existing code for no apparent reason. To be a good refactorer one needs discipline and focus. Now we know that refactoring is all about changing inner workings of existing code. This can be due to performance optimizations, changing internal code workflows or some other reason. This is a typical black box scenario to the outside world. If we upgrade the car engine it still has to drive on the road (preferably faster) and not fly (no matter how cool that would be). Also be aware that white box tests will break when we refactor. What to refactor in a database Refactoring databases doesn’t happen that often but when it does it can include a lot of stuff. Let us look at a few common cases. Adding or removing database schema objects Adding, removing or changing table columns in any way, adding constraints, keys, etc… All of these can be counted as internal changes not visible to the data consumer. But each of these carries a potential input/output behavior change. Dropping a column can result in views not working anymore or stored procedure logic crashing. Adding a unique constraint shows duplicated data that shouldn’t exist. Foreign keys break a truncate table command executed from an application that runs once a month. All these scenarios are very real and can happen. With the proper database abstraction layer fully covered with black box tests we can make sure something like that does not happen (hopefully at all). Changing physical structures Physical structures include heaps, indexes and partitions. We can pretty much add or remove those without changing the data returned by the database. But the performance can be affected. So here we use our performance tests. We do have them, right? Just by adding a single index we can achieve orders of magnitude performance improvement. Won’t that make users happy? But what if that index causes our write operations to crawl to a stop. again we have to test this. There are a lot of things to think about and have tests for. Without tests we can’t do successful refactoring! Fixing bad code We all have some bad code in our systems. We usually refer to that code as code smell as they violate good coding practices. Examples of such code smells are SQL injection, use of SELECT *, scalar UDFs or cursors, etc… Each of those is huge code smell and can result in major code changes. Take SELECT * from example. If we remove a column from a table the client using that SELECT * statement won’t have a clue about that until it runs. Then it will gracefully crash and burn. Not to mention the widely unknown SELECT * view refresh problem that Tomas LaRock (@SQLRockstar on Twitter) and Colin Stasiuk (@BenchmarkIT on Twitter) talk about in detail. Go read about it, it’s informative. Refactoring this includes replacing the * with column names and most likely change to application using the database. Breaking apart huge stored procedures Have you ever seen seen a stored procedure that was 2000 lines long? I have. It’s not pretty. It hurts the eyes and sucks the will to live the next 10 minutes. They are a maintenance nightmare and turn into things no one dares to touch. I’m willing to bet that 100% of time they don’t have a single test on them. Large stored procedures (and functions) are a clear sign that they contain business logic. General opinion on good database coding practices says that business logic has no business in the database. That’s the applications part. Refactoring such behemoths requires writing lots of edge case tests for the stored procedure input/output behavior and then start to refactor it. First we split the logic inside into smaller parts like new stored procedures and UDFs. Those then get called from the master stored procedure. Once we’ve successfully modularized the database code it’s best to transfer that logic into the applications consuming it. This only leaves the stored procedure with common data manipulation logic. Of course this isn’t always possible so having a plethora of performance and behavior unit tests is absolutely necessary to confirm we’ve actually improved the codebase in some way.   Refactoring is not a popular chore amongst developers or managers. The former don’t like fixing old code, the latter can’t see the financial benefit. Remember how we talked about being lousy at estimating future costs in the previous post? But there comes a time when it must be done. Hopefully I’ve given you some ideas how to get started. In the last post of the series we’ll take a look at the tools to use and an example of testing and refactoring.

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  • Automating deployments with the SQL Compare command line

    - by Jonathan Hickford
    In my previous article, “Five Tips to Get Your Organisation Releasing Software Frequently” I looked at how teams can automate processes to speed up release frequency. In this post, I’m looking specifically at automating deployments using the SQL Compare command line. SQL Compare compares SQL Server schemas and deploys the differences. It works very effectively in scenarios where only one deployment target is required – source and target databases are specified, compared, and a change script is automatically generated and applied. But if multiple targets exist, and pressure to increase the frequency of releases builds, this solution quickly becomes unwieldy.   This is where SQL Compare’s command line comes into its own. I’ve put together a PowerShell script that loops through the Servers table and pulls out the server and database, these are then passed to sqlcompare.exe to be used as target parameters. In the example the source database is a scripts folder, a folder structure of scripted-out database objects used by both SQL Source Control and SQL Compare. The script can easily be adapted to use schema snapshots.     -- Create a DeploymentTargets database and a Servers table CREATE DATABASE DeploymentTargets GO USE DeploymentTargets GO CREATE TABLE [dbo].[Servers]( [id] [int] IDENTITY(1,1) NOT NULL, [serverName] [nvarchar](50) NULL, [environment] [nvarchar](50) NULL, [databaseName] [nvarchar](50) NULL, CONSTRAINT [PK_Servers] PRIMARY KEY CLUSTERED ([id] ASC) ) GO -- Now insert your target server and database details INSERT INTO dbo.Servers ( serverName , environment , databaseName) VALUES ( N'myserverinstance' , N'myenvironment1' , N'mydb1') INSERT INTO dbo.Servers ( serverName , environment , databaseName) VALUES ( N'myserverinstance' , N'myenvironment2' , N'mydb2') Here’s the PowerShell script you can adapt for yourself as well. # We're holding the server names and database names that we want to deploy to in a database table. # We need to connect to that server to read these details $serverName = "" $databaseName = "DeploymentTargets" $authentication = "Integrated Security=SSPI" #$authentication = "User Id=xxx;PWD=xxx" # If you are using database authentication instead of Windows authentication. # Path to the scripts folder we want to deploy to the databases $scriptsPath = "SimpleTalk" # Path to SQLCompare.exe $SQLComparePath = "C:\Program Files (x86)\Red Gate\SQL Compare 10\sqlcompare.exe" # Create SQL connection string, and connection $ServerConnectionString = "Data Source=$serverName;Initial Catalog=$databaseName;$authentication" $ServerConnection = new-object system.data.SqlClient.SqlConnection($ServerConnectionString); # Create a Dataset to hold the DataTable $dataSet = new-object "System.Data.DataSet" "ServerList" # Create a query $query = "SET NOCOUNT ON;" $query += "SELECT serverName, environment, databaseName " $query += "FROM dbo.Servers; " # Create a DataAdapter to populate the DataSet with the results $dataAdapter = new-object "System.Data.SqlClient.SqlDataAdapter" ($query, $ServerConnection) $dataAdapter.Fill($dataSet) | Out-Null # Close the connection $ServerConnection.Close() # Populate the DataTable $dataTable = new-object "System.Data.DataTable" "Servers" $dataTable = $dataSet.Tables[0] #For every row in the DataTable $dataTable | FOREACH-OBJECT { "Server Name: $($_.serverName)" "Database Name: $($_.databaseName)" "Environment: $($_.environment)" # Compare the scripts folder to the database and synchronize the database to match # NB. Have set SQL Compare to abort on medium level warnings. $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/AbortOnWarnings:Medium") # + @("/sync" ) # Commented out the 'sync' parameter for safety, write-host $arguments & $SQLComparePath $arguments "Exit Code: $LASTEXITCODE" # Some interesting variations # Check that every database matches a folder. # For example this might be a pre-deployment step to validate everything is at the same baseline state. # Or a post deployment script to validate the deployment worked. # An exit code of 0 means the databases are identical. # # $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/Assertidentical") # Generate a report of the difference between the folder and each database. Generate a SQL update script for each database. # For example use this after the above to generate upgrade scripts for each database # Examine the warnings and the HTML diff report to understand how the script will change objects # #$arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/ScriptFile:update_$($_.environment+"_"+$_.databaseName).sql", "/report:update_$($_.environment+"_"+$_.databaseName).html" , "/reportType:Interactive", "/showWarnings", "/include:Identical") } It’s worth noting that the above example generates the deployment scripts dynamically. This approach should be problem-free for the vast majority of changes, but it is still good practice to review and test a pre-generated deployment script prior to deployment. An alternative approach would be to pre-generate a single deployment script using SQL Compare, and run this en masse to multiple targets programmatically using sqlcmd, or using a tool like SQL Multi Script.  You can use the /ScriptFile, /report, and /showWarnings flags to generate change scripts, difference reports and any warnings.  See the commented out example in the PowerShell: #$arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/ScriptFile:update_$($_.environment+"_"+$_.databaseName).sql", "/report:update_$($_.environment+"_"+$_.databaseName).html" , "/reportType:Interactive", "/showWarnings", "/include:Identical") There is a drawback of running a pre-generated deployment script; it assumes that a given database target hasn’t drifted from its expected state. Often there are (rightly or wrongly) many individuals within an organization who have permissions to alter the production database, and changes can therefore be made outside of the prescribed development processes. The consequence is that at deployment time, the applied script has been validated against a target that no longer represents reality. The solution here would be to add a check for drift prior to running the deployment script. This is achieved by using sqlcompare.exe to compare the target against the expected schema snapshot using the /Assertidentical flag. Should this return any differences (sqlcompare.exe Exit Code 79), a drift report is outputted instead of executing the deployment script.  See the commented out example. # $arguments = @("/scripts1:$($scriptsPath)", "/server2:$($_.serverName)", "/database2:$($_.databaseName)", "/Assertidentical") Any checks and processes that should be undertaken prior to a manual deployment, should also be happen during an automated deployment. You might think about triggering backups prior to deployment – even better, automate the verification of the backup too.   You can use SQL Compare’s command line interface along with PowerShell to automate multiple actions and checks that you need in your deployment process. Automation is a practical solution where multiple targets and a higher release cadence come into play. As we know, with great power comes great responsibility – responsibility to ensure that the necessary checks are made so deployments remain trouble-free.  (The code sample supplied in this post automates the simple dynamic deployment case – if you are considering more advanced automation, e.g. the drift checks, 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 further questions)

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  • JQuery Mobile Code Snippets 1

    - by Yousef_Jadallah
     I want to share with you some important codes that you may need during JQuery Mobile development.These codes are tested on Alpha 4 version. Beta 1 has been released before two days, Therefore I will test them in my current project and let you know if there is any changes : Normal 0 false false false EN-US X-NONE AR-SA /* 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; 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:Arial; mso-bidi-theme-font:minor-bidi;}    Normal 0 false false false EN-US X-NONE AR-SA /* 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; 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:Arial; mso-bidi-theme-font:minor-bidi;} Show and hide back button in your Application    $(document).bind("mobileinit", function () {           $.mobile.page.prototype.options.addBackBtn = true;        });     Customizing the back button text $(document).bind("mobileinit", function () {$.mobile.page.prototype.options.backBtnText = "previous";});       Hide "Close button" for dialog programatically:   $('[data-role=dialog]div[id="YourDiaogdivID"]').live('pagecreate', function (event) {     $("a[data-icon='delete']").hide();          });  Change Select option element index:      var myselect = $("select#foo");       myselect[0].selectedIndex = 0; //The new index        myselect.selectmenu("refresh"); //uset this line of code after any updating on the select element      Change Select optoin elemetn text value:    $("select#foo").parent().contents().children('.ui-btn-text').text('Your Text Here');    Refreshing a checkbox    $("select#foo").parent().contents().children('.ui-btn-text').text('Your Text Here');     Hide select option element  $('#foo').parent().hide();     Hide and Show Page Loading Message :  $.mobile.pageLoading(); //Show $.mobile.pageLoading(true); //hide            overriding $.mobile.loadingMessage  $(document).bind("mobileinit", function () {    $.mobile.loadingMessage = 'My Loading Message';    });    Hide and Show jQuery-Mobile-Themed-DatePicker    $(".ui-datepicker").hide();  $(".ui-datepicker").show();       Build your Custom Loading Message :           $('#CustomeLoadingMessage').hide();//Hide the div               $('# CustomeLoadingMessage').ajaxStart(function () {                $(this).show();            });             $('# CustomeLoadingMessage').ajaxStop(function () {                $(this).hide();            });   I wil publish other important codes soon.Hope that helps.

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  • TGIF: Engagement Wrap-up

    - by Michael Snow
    We've had a very busy week here at Oracle and as we build up to Oracle OpenWorld starting in less than 10 days - it doesn't look like things will be slowing down. Engagement is definitely in the air this week. Our friend, John Mancini published a great article entitled: "The World of Engagement" on his Digital Landfill blog yesterday and we hosted a great webcast with R "Ray" Wang from Constellation Research yesterday on the "9 C's of Engagement". 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} I wanted to wrap-up the week with some key takeaways from our webcast yesterday with Ray Wang. If you missed the webcast yesterday, fear not - it is now available  On-Demand. We'll leave you this week with lots of questions about how to navigate these churning waters of engagement. Stay tuned to the Oracle WebCenter Social Business Thought Leaders Webcast Series as we fuel this dialogue. 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Company Culture Does company support a culture of putting customer satisfaction ahead of profits? Does culture promote creativity and cross functional employee collaboration? Does culture accept different views of multi-generational workforce? Does culture promote employee training and skills development Does culture support upward mobility and long term retention? Does culture support work-life balance? Does the culture provide rewards for employee for outstanding customer support? Channels What are the current primary channels for customer communications? What do you think will be the primary channels in two years? Is company developing support model for emerging channels? Do all channels consistently deliver the same level of customer support? Do you know the cost per transaction across all channels? Do you engage customers proactively across multiple channels? Do all channels have access to the same customer information? Community Does company extend customer support into virtual communities of interest? Does company facilitate educating users through its virtual communities? Does company mine its customer’s experience into useful data? Does company increase the value for customers through using data to deliver new products and services? Does company support two way interactions with its customers through communities of interest? Does company actively support social CRM, online communities and social media markets? Credibility Does company market its trustworthiness through external certificates such as business licenses, BBB certificates or other validations? Does company promote trust through customer testimonials and case studies on ethical business practices? Does company promote truthful market campaigns Does company make it easy for customers to complain? Does company build its reputation for standing behind its products with guarantees for satisfaction? Does company protect its customer data with high security measures> Content What sources do you use to create customer content? Does company mine social media and blogs for customer content? How does your company sort, store and retain its customer content? How frequently does content get updated? What external sources do you use for customer content? How many responses are typically received from a knowledge management system inquiry? Does your company use customer content to design and develop new product and services? Context Does your company market to customers in clusters or individually? Does your company customize its messages and personalize them to specific needs of each individual customer? Does your company store customer data based on their past behaviors, purchases, sentiment analysis and current activities? Does your company manage customer context according to channels used? For example identify personal use channels versus business channels? What is your frequency of collecting customer activities across various touch points? How is your customer data stored and analyzed? Is contextual data used for future customer outreach? Cadence Which channels does your company measure-web site visits, phone calls, IVR, store visits, face to face, social media? Does company make effective use of cross channel marketing to promote more frequent customer engagement? Does your company rate the patterns relevant for your product or service and monitor usage against this pattern? Does your company measure the frequency of both online and offline channels? Does your company apply metrics to the frequency of customer engagements with product or services revenues? Does your company consolidate data for customer engagement across various channels for a complete view of its customer? Catalyst Does company offer coupon discounts? Does company have a customer loyalty program or a VIP membership program? Does company mine customer data to target specific groups of buyers? Do internal employees serve as ambassadors for customer programs? Does company drive loyalty through social media loyalty programs? Does company build rewards based on using loyalty data? Does company offer an employee incentive program to drive customer loyalty?

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  • Possible SWITCH Optimization in DAX – #powerpivot #dax #tabular

    - by Marco Russo (SQLBI)
    In one of the Advanced DAX Workshop I taught this year, I had an interesting discussion about how to optimize a SWITCH statement (which could be frequently used checking a slicer, like in the Parameter Table pattern). Let’s start with the problem. What happen when you have such a statement? Sales :=     SWITCH (         VALUES ( Period[Period] ),         "Current", [Internet Total Sales],         "MTD", [MTD Sales],         "QTD", [QTD Sales],         "YTD", [YTD Sales],          BLANK ()     ) The SWITCH statement is in reality just syntax sugar for a nested IF statement. When you place such a measure in a pivot table, for every cell of the pivot table the IF options are evaluated. In order to optimize performance, the DAX engine usually does not compute cell-by-cell, but tries to compute the values in bulk-mode. However, if a measure contains an IF statement, every cell might have a different execution path, so the current implementation might evaluate all the possible IF branches in bulk-mode, so that for every cell the result from one of the branches will be already available in a pre-calculated dataset. The price for that could be high. If you consider the previous Sales measure, the YTD Sales measure could be evaluated for all the cells where it’s not required, and also when YTD is not selected at all in a Pivot Table. The actual optimization made by the DAX engine could be different in every build, and I expect newer builds of Tabular and Power Pivot to be better than older ones. However, we still don’t live in an ideal world, so it could be better trying to help the engine finding a better execution plan. One student (Niek de Wit) proposed this approach: Selection := IF (     HASONEVALUE ( Period[Period] ),     VALUES ( Period[Period] ) ) Sales := CALCULATE (     [Internet Total Sales],     FILTER (         VALUES ( 'Internet Sales'[Order Quantity] ),         'Internet Sales'[Order Quantity]             = IF (                 [Selection] = "Current",                 'Internet Sales'[Order Quantity],                 -1             )     ) )     + CALCULATE (         [MTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "MTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     )     + CALCULATE (         [QTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "QTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     )     + CALCULATE (         [YTD Sales],         FILTER (             VALUES ( 'Internet Sales'[Order Quantity] ),             'Internet Sales'[Order Quantity]                 = IF (                     [Selection] = "YTD",                     'Internet Sales'[Order Quantity],                     -1                 )         )     ) At first sight, you might think it’s impossible that this approach could be faster. However, if you examine with the profiler what happens, there is a different story. Every original IF’s execution branch is now a separate CALCULATE statement, which applies a filter that does not execute the required measure calculation if the result of the FILTER is empty. I used the ‘Internet Sales’[Order Quantity] column in this example just because in Adventure Works it has only one value (every row has 1): in the real world, you should use a column that has a very low number of distinct values, or use a column that has always the same value for every row (so it will be compressed very well!). Because the value –1 is never used in this column, the IF comparison in the filter discharge all the values iterated in the filter if the selection does not match with the desired value. I hope to have time in the future to write a longer article about this optimization technique, but in the meantime I’ve seen this optimization has been useful in many other implementations. Please write your feedback if you find scenarios (in both Power Pivot and Tabular) where you obtain performance improvements using this technique!

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  • Iterate through all form fields within a specified DIV tag.

    - by user344255
    I need to be able to iterate through all the form fields within a specified DIV tag. Basically, any given DIV tag can have multiple form fields (which is easy enough to parse through), but it can also any number of tables or even additional DIV tags (adding additional levels of hierarchical layering). I've written a basic function that goes through each of the direct descendants of the parent node (in this case, the DIV tag) and it clears out its value. This part works fine. The problem is getting it to parse children when children (grandchildren) of their own. It winds up getting caught up in an infinite loop. In this case, I need be able to find all the form fields within DIV tag "panSomePanel", which will include some direct children (txtTextField1), but also some grandchildren who are within nested TABLE objects and/or nested DIV tags (radRadioButton, DESC_txtTextArea). Here is a sample DIV and its contents: <DIV id="panSomePanel"> <INPUT name="txtTextField1" type="text" id="txtTextField1" size="10"/><BR><BR> <TABLE id="tblRadioButtons" border="0"> <TR> <TD> <INPUT id="radRadioButton_0" type="radio" name="radRadioButton" value="1" /><LABEL for="radRadioButton_0">Value 1</LABEL> </TD> <TD> <INPUT id="radRadioButton_5" type="radio" name="radRadioButton" value="23" /><LABEL for="radRadioButton_5">Value 23</LABEL> </TD> </TR> <TR> <TD> <INPUT id="radRadioButton_1" type="radio" name="radRadioButton" value="2" /><LABEL for="radRadioButton_1">Value 2</LABEL> </TD> <TD> <INPUT id="radRadioButton_6" type="radio" name="radRadioButton" value="24" /><LABEL for="radRadioButton_6">Value 24</LABEL> </TD> </TR> <TR> <TD> <INPUT id="radRadioButton_2" type="radio" name="radRadioButton" value="3" /><LABEL for="radRadioButton_2">Value 3</LABEL> </TD> <TD> <INPUT id="radRadioButton_7" type="radio" name="radRadioButton" value="25" /><LABEL for="radRadioButton_7">Value 25</LABEL> </TD> </TR> <TR> <TD> <INPUT id="radRadioButton_3" type="radio" name="radRadioButton" value="21" /><LABEL for="radRadioButton_3">Value 21</LABEL> </TD> <TD> <INPUT id="radRadioButton_8" type="radio" name="radRadioButton" value="4" /><LABEL for="radRadioButton_8">Value 4</LABEL> </TD> </TR> <TR> <TD> <INPUT id="radRadioButton_4" type="radio" name="radRadioButton" value="22" /><LABEL for="radRadioButton_4">Value 22</LABEL> </TD> </TR> </TABLE> <DIV id="panAnotherPanel"><BR> <TABLE cellpadding="0" cellspacing="0" border="0" style="display:inline;vertical-align:top;"> <TR> <TD valign="top"> <TEXTAREA name="DESC:txtTextArea" rows="3" cols="48" id="DESC_txtTextArea"></TEXTAREA>&nbsp; </TD> <TD valign="top"><SPAN id="DESC_lblCharCount" style="font-size:8pt;"></SPAN> </TD> </TR> </TABLE> </DIV> </DIV> Here is the function I've written: function clearChildren(node) { var child; if (node.childNodes.length > 0) { child= node.firstChild; } while(child) { if (child.type == "text") { alert(child.id); child.value = ""; } else if (child.type == "checkbox") { child.checked = false; } else if (child.type == "radio") { alert(child.id); child.checked = false; } else if (child.type == "textarea") { child.innerText = ""; } //alert(child.childNodes.length); if (child.childNodes.length > 0) { var grandchild = child.firstChild; while (grandchild) { clearChildren(grandchild); } grandchild = grandchild.nextSibling; } child = child.nextSibling; } }

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  • Execution plan warnings–The final chapter

    - by Dave Ballantyne
    In my previous posts (here and here), I showed examples of some of the execution plan warnings that have been added to SQL Server 2012.  There is one other warning that is of interest to me : “Unmatched Indexes”. Firstly, how do I know this is the final one ?  The plan is an XML document, right ? So that means that it can have an accompanying XSD.  As an XSD is a schema definition, we can poke around inside it to find interesting things that *could* be in the final XML file. The showplan schema is stored in the folder Microsoft SQL Server\110\Tools\Binn\schemas\sqlserver\2004\07\showplan and by comparing schemas over releases you can get a really good idea of any new functionality that has been added. Here is the section of the Sql Server 2012 showplan schema that has been interesting me so far : <xsd:complexType name="AffectingConvertWarningType"> <xsd:annotation> <xsd:documentation>Warning information for plan-affecting type conversion</xsd:documentation> </xsd:annotation> <xsd:sequence> <!-- Additional information may go here when available --> </xsd:sequence> <xsd:attribute name="ConvertIssue" use="required"> <xsd:simpleType> <xsd:restriction base="xsd:string"> <xsd:enumeration value="Cardinality Estimate" /> <xsd:enumeration value="Seek Plan" /> <!-- to be extended here --> </xsd:restriction> </xsd:simpleType> </xsd:attribute> <xsd:attribute name="Expression" type ="xsd:string" use="required" /></xsd:complexType><xsd:complexType name="WarningsType"> <xsd:annotation> <xsd:documentation>List of all possible iterator or query specific warnings (e.g. hash spilling, no join predicate)</xsd:documentation> </xsd:annotation> <xsd:choice minOccurs="1" maxOccurs="unbounded"> <xsd:element name="ColumnsWithNoStatistics" type="shp:ColumnReferenceListType" minOccurs="0" maxOccurs="1" /> <xsd:element name="SpillToTempDb" type="shp:SpillToTempDbType" minOccurs="0" maxOccurs="unbounded" /> <xsd:element name="Wait" type="shp:WaitWarningType" minOccurs="0" maxOccurs="unbounded" /> <xsd:element name="PlanAffectingConvert" type="shp:AffectingConvertWarningType" minOccurs="0" maxOccurs="unbounded" /> </xsd:choice> <xsd:attribute name="NoJoinPredicate" type="xsd:boolean" use="optional" /> <xsd:attribute name="SpatialGuess" type="xsd:boolean" use="optional" /> <xsd:attribute name="UnmatchedIndexes" type="xsd:boolean" use="optional" /> <xsd:attribute name="FullUpdateForOnlineIndexBuild" type="xsd:boolean" use="optional" /></xsd:complexType> I especially like the “to be extended here” comment,  high hopes that we will see more of these in the future.   So “Unmatched Indexes” was a warning that I couldn’t get and many thanks must go to Fabiano Amorim (b|t) for showing me the way.   Filtered indexes were introduced in Sql Server 2008 and are really useful if you only need to index only a portion of the data within a table.  However,  if your SQL code uses a variable as a predicate on the filtered data that matches the filtered condition, then the filtered index cannot be used as, naturally,  the value in the variable may ( and probably will ) change and therefore will need to read data outside the index.  As an aside,  you could use option(recompile) here , in which case the optimizer will build a plan specific to the variable values and use the filtered index,  but that can bring about other problems.   To demonstrate this warning, we need to generate some test data :   DROP TABLE #TestTab1GOCREATE TABLE #TestTab1 (Col1 Int not null, Col2 Char(7500) not null, Quantity Int not null)GOINSERT INTO #TestTab1 VALUES (1,1,1),(1,2,5),(1,2,10),(1,3,20), (2,1,101),(2,2,105),(2,2,110),(2,3,120)GO and then add a filtered index CREATE INDEX ixFilter ON #TestTab1 (Col1)WHERE Quantity = 122 Now if we execute SELECT COUNT(*) FROM #TestTab1 WHERE Quantity = 122 We will see the filtered index being scanned But if we parameterize the query DECLARE @i INT = 122SELECT COUNT(*) FROM #TestTab1 WHERE Quantity = @i The plan is very different a table scan, as the value of the variable used in the predicate can change at run time, and also we see the familiar warning triangle. If we now look at the properties pane, we will see two pieces of information “Warnings” and “UnmatchedIndexes”. So, handily, we are being told which filtered index is not being used due to parameterization.

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  • Refactoring an ERB Template to Haml

    - by Liam McLennan
    ERB is the default view templating system used by Ruby on Rails. Haml is an alternative templating system that uses whitespace to represent document structure. The example from the haml website shows the following equivalent markup: Haml ERB #profile .left.column #date= print_date #address= current_user.address .right.column #email= current_user.email #bio= current_user.bio <div id="profile"> <div class="left column"> <div id="date"><%= print_date %></div> <div id="address"><%= current_user.address %></div> </div> <div class="right column"> <div id="email"><%= current_user.email %></div> <div id="bio"><%= current_user.bio %></div> </div> </div> I like haml because it is concise and the significant whitespace makes it easy to see the structure at a glance. This post is about a ruby project but nhaml makes haml available for asp.net MVC also. The ERB Template Today I spent some time refactoring an ERB template to Haml. The template is called list.html.erb and its purpose is to render a list of tweets (twitter messages). <style> form { float: left; } </style> <h1>Tweets</h1> <table> <thead><tr><th></th><th>System</th><th>Human</th><th></th></tr></thead> <% @tweets.each do |tweet| %> <tr> <td><%= h(tweet['text']) %></td> <td><%= h(tweet['system_classification']) %></td> <td><%= h(tweet['human_classification']) %></td> <td><form action="/tweet/rate" method="post"> <%= token_tag %> <input type="submit" value="Positive"/> <input type="hidden" value="<%= tweet['id']%>" name="id" /> <input type="hidden" value="positive" name="rating" /> </form> <form action="/tweet/rate" method="post"> <%= token_tag %> <input type="submit" value="Neutral"/> <input type="hidden" value="<%= tweet['id']%>" name="id" /> <input type="hidden" value="neutral" name="rating" /> </form> <form action="/tweet/rate" method="post"> <%= token_tag %> <input type="submit" value="Negative"/> <input type="hidden" value="<%= tweet['id']%>" name="id" /> <input type="hidden" value="negative" name="rating" /> </form> </td> </tr> <% end %> </table> Haml Template: Take 1 My first step was to convert this page to a Haml template in place. Directly translating the ERB template to Haml resulted in: list.haml %style form {float: left;} %h1 Tweets %table %thead %tr %th %th System %th Human %th %tbody - @tweets.each do |tweet| %tr %td= tweet['text'] %td= tweet['system_classification'] %td= tweet['human_classification'] %td %form{ :action=>"/tweet/rate", :method=>"post"} = token_tag <input type="submit" value="Positive"/> <input type="hidden" value="positive" name="rating" /> %input{ :type=>"hidden", :value => tweet['id']} %form{ :action=>"/tweet/rate", :method=>"post"} = token_tag <input type="submit" value="Neutral"/> <input type="hidden" value="neutral" name="rating" /> %input{ :type=>"hidden", :value => tweet['id']} %form{ :action=>"/tweet/rate", :method=>"post"} = token_tag <input type="submit" value="Negative"/> <input type="hidden" value="negative" name="rating" /> %input{ :type=>"hidden", :value => tweet['id']} end I like this better already but I can go further. Haml Template: Take 2 The haml documentation says to avoid using iterators so I introduced a partial template (_tweet.haml) as the template to render a single tweet. _tweet.haml %tr %td= tweet['text'] %td= tweet['system_classification'] %td= tweet['human_classification'] %td %form{ :action=>"/tweet/rate", :method=>"post"} = token_tag <input type="submit" value="Positive"/> <input type="hidden" value="positive" name="rating" /> %input{ :type=>"hidden", :value => tweet['id']} %form{ :action=>"/tweet/rate", :method=>"post"} = token_tag <input type="submit" value="Neutral"/> <input type="hidden" value="neutral" name="rating" /> %input{ :type=>"hidden", :value => tweet['id']} %form{ :action=>"/tweet/rate", :method=>"post"} = token_tag <input type="submit" value="Negative"/> <input type="hidden" value="negative" name="rating" /> %input{ :type=>"hidden", :value => tweet['id']} and the list template is simplified to: list.haml %style form {float: left;} %h1 Tweets %table     %thead         %tr             %th             %th System             %th Human             %th     %tbody         = render(:partial => "tweet", :collection => @tweets) That is definitely an improvement, but then I noticed that _tweet.haml contains three form tags that are nearly identical.   Haml Template: Take 3 My first attempt, later aborted, was to use a helper to remove the duplication. A much better solution is to use another partial.  _rate_button.haml %form{ :action=>"/tweet/rate", :method=>"post"} = token_tag %input{ :type => "submit", :value => rate_button[:rating].capitalize } %input{ :type => "hidden", :value => rate_button[:rating], :name => 'rating' } %input{ :type => "hidden", :value => rate_button[:id], :name => 'id' } and the tweet template is now simpler: _tweet.haml %tr %td= tweet['text'] %td= tweet['system_classification'] %td= tweet['human_classification'] %td = render( :partial => 'rate_button', :object => {:rating=>'positive', :id=> tweet['id']}) = render( :partial => 'rate_button', :object => {:rating=>'neutral', :id=> tweet['id']}) = render( :partial => 'rate_button', :object => {:rating=>'negative', :id=> tweet['id']}) list.haml remains unchanged. Summary I am extremely happy with the switch. No doubt there are further improvements that I can make, but I feel like what I have now is clean and well factored.

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  • Drop down select to change a second drop down select automatically

    - by zvzej
    I have a webpage where I have a form with several areas to input text and two drop down select options countries is the first one and depending in witch country is chosen the second should display the estates for that country to choose. my page connects to my db from where it gets the countries and estates.... I have a table with the country names and one table for each country estates. so all I'm trying to do is making it change the states to choose from automatically depending witch country got selected with out summiting the form since that enters a new entry to another table in my db. I seen that using javascript is the way to go but can't get it to work in my case since I don't want to be sent to another page or summit the form. here is part of my code any help will be greatly appreciated. Thanks $paissql = "SELECT * FROM Paises_table"; $paisresult = mysql_query($paissql); ?> <script language="text/javascript"> function showMe(str) { <? $estadosql = "SELECT * FROM ".str."_table"; $estadoresult = mysql_query($estadosql); ?> } </script> <TABLE BORDER="2" CELLPADDING="2" CELLSPACING="2" ALIGN="CENTER"> <form action="<?php echo $_SERVER['PHP_SELF']?>" method=POST> <TR><th> id </th> <td><?php echo $row_to_edit['id']?></td> </TR> <TR><th>Nombre:</th><td><input type="TEXT" name=Nombre value="<?php echo $row_to_edit['Id_Nombre']?>" SIZE="100"></td></TR> </td></TR> <TR><th>Pais:</th><td> <select name=Pais onchange="showMe(this.value);" > <? while($rowp = mysql_fetch_array($paisresult)) { $pais = $rowp['Name']; ?> <option value=<?php echo $pais; ?> <?php if($row_to_edit['Pais']==$pais) { echo ' selected="true"';} ?> ><?php echo $pais; ?> </option> <? } ?> </select></td></TR> <TR><th>Estado:</th><td> <select name=Estado > <? while($rowe = mysql_fetch_array($estadoresult)) { $estado = $rowe['Estado']; ?> <option value=<?php echo $estado; ?> <?php if($row_to_edit['Estado']==$estado) { echo ' selected="true"';} ?> ><?php echo $estado; ?></option> <? } ?> <TR><th>Ciudad:</th><td><input type="TEXT" name=Ciudad value="<?php echo $row_to_edit['Ciudad']?>" SIZE="100"></td></TR> <TR><th>Website:</th><td><input type="TEXT" name=website value="<?php echo $row_to_edit['website']?>" SIZE="100"></td></TR> <TR><td> </td> <td> <input type="HIDDEN" name="id" value="<?php echo $edit_id?>"> Para agregar preciona aqui: <input type="SUBMIT" name="ACTION" value="AGREGAR"> </td> </TR> </form> </TABLE> <BR> <BR>

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  • PROBLEM: PHP strip_tags & multi-dimensional array form parameter

    - by Tunji Gbadamosi
    I'm having problems stripping the tags from the textual inputs retrieved from my form so as to do something with them in checkout.php. The input is stored in a multi-dimensional array. Here's my form: echo '<form name="choose" action="checkout.php" method="post" onsubmit="return validate_second_form(this);">'; echo '<input type="hidden" name="hidden_value" value="'.$no_guests.'" />'; if($no_guests >= 1){ echo '<div class="volunteer">'; echo '<fieldset>'; echo '<legend>Volunteer:</legend>'; echo '<label>Table:</label>'; echo '<select name="volunteer_table">'; foreach($tables as $t){ echo '<option>'.$t.'</option>'; } echo '</select><br><br>'; echo '<label>Seat number:</label>'; echo '<select name="volunteer_seat">'; foreach($seats as $seat){ echo '<option>'.$seat.'</option>'; } echo '</select><br><br>'; //echo '<br>'; echo '</fieldset>'; echo '</div>'; for($i=0;$i<$no_guests;$i++){ $guest = "guest_".$i; echo '<div class="'.$guest.'">'; echo '<fieldset>'; echo '<legend>Guest '.$i.':</legend>'; echo '<label>First Name:</label>'; echo '<input type="text" name="guest['.$i.']['.$first_name.']" id="fn'.$i.'">'; echo '<label>Surname:</label>'; echo '<input type="text" name="guest['.$i.']['.$surname.']" id="surname'.$i.'"><br><br>'; echo '<label>Date of Birth:</label> <br>'; echo '<label>Day:</label>'; echo '<select name="guest['.$i.'][dob_day]">'; for($j=1;$j<32;$j++){ echo"<option value='$j'>$j</option>"; } echo '</select>'; echo '<label>Month:</label>'; echo '<select name="guest['.$i.'][dob_month]">'; for($j=0;$j<sizeof($month);$j++){ $value = ($j + 1); echo"<option value='$value'>$month[$j]</option>"; } echo '</select>'; echo '<label>Year:</label>'; echo '<select name="guest['.$i.'][dob_year]">'; for($j=1900;$j<$year_limit;$j++){ echo"<option value='$j'>$j</option>"; } echo '</select> <br><br>'; echo '<label>Sex:</label>'; echo '<select name="guest['.$i.']['.$sex.']">'; echo '<option>Female</option>'; echo '<option>Male</option>'; echo '</select><br><br>'; echo '<label>Table:</label>'; echo '<select name="guest['.$i.']['.$table.']">'; foreach($tables as $t){ echo '<option>'.$t.'</option>'; } echo '</select><br><br>'; echo '<label>Seat number:</label>'; echo '<select name="guest['.$i.']['.$seat_no.']">'; foreach($seats as $seat){ echo '<option>'.$seat.'</option>'; } echo '</select><br><br>'; //echo '<br>'; echo '</fieldset>'; echo '</div>'; } } else{ echo '<div id="volunteer">'; echo '<fieldset>'; echo '<legend>Volunteer:</legend>'; echo '<label>Table:</label>'; echo '<select name="volunteer['.$table.']">'; foreach($tables as $t){ echo '<option>'.$t.'</option>'; } echo '</select><br><br>'; echo '<label>Seat number:</label>'; echo '<select name="volunteer['.$seat_no.']">'; foreach($seats as $seat){ echo '<option>'.$seat.'</option>'; } echo '</select><br><br>'; //echo '<br>'; echo '</fieldset>'; echo '</div>'; } echo '<input type="submit" value="Submit form">'; echo '</form>'; here's checkout.php: if(isset($_POST['guest'])){ foreach($_POST['guest'] as $guest){ $guest['first_name'] = strip_tags($guest['first_name']); $guest['surname'] = strip_tags($guest['surname']); } //$_SESSION['guest'] = $guests; }

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  • Saving image from Gallery to db - Coursor IllegalStateException

    - by MyWay
    I want to save to db some strings with image. Image can be taken from gallery or user can set the sample one. In the other activity I have a listview which should present the rows with image and name. I'm facing so long this problem. It occurs when I wanna display listview with the image from gallery, If the sample image is saved in the row everything works ok. My problem is similar to this one: how to save image taken from camera and show it to listview - crashes with "IllegalStateException" but I can't find there the solution for me My table in db looks like this: public static final String KEY_ID = "_id"; public static final String ID_DETAILS = "INTEGER PRIMARY KEY AUTOINCREMENT"; public static final int ID_COLUMN = 0; public static final String KEY_NAME = "name"; public static final String NAME_DETAILS = "TEXT NOT NULL"; public static final int NAME_COLUMN = 1; public static final String KEY_DESCRIPTION = "description"; public static final String DESCRIPTION_DETAILS = "TEXT"; public static final int DESCRIPTION_COLUMN = 2; public static final String KEY_IMAGE ="image" ; public static final String IMAGE_DETAILS = "BLOP"; public static final int IMAGE_COLUMN = 3; //method which create our table private static final String CREATE_PRODUCTLIST_IN_DB = "CREATE TABLE " + DB_TABLE + "( " + KEY_ID + " " + ID_DETAILS + ", " + KEY_NAME + " " + NAME_DETAILS + ", " + KEY_DESCRIPTION + " " + DESCRIPTION_DETAILS + ", " + KEY_IMAGE +" " + IMAGE_DETAILS + ");"; inserting statement: public long insertToProductList(String name, String description, byte[] image) { ContentValues value = new ContentValues(); // get the id of column and value value.put(KEY_NAME, name); value.put(KEY_DESCRIPTION, description); value.put(KEY_IMAGE, image); // put into db return db.insert(DB_TABLE, null, value); } Button which add the picture and onActivityResult method which saves the image and put it into the imageview public void AddPicture(View v) { // creating specified intent which have to get data Intent intent = new Intent(Intent.ACTION_PICK); // From where we want choose our pictures intent.setType("image/*"); startActivityForResult(intent, PICK_IMAGE); } @Override protected void onActivityResult(int requestCode, int resultCode, Intent data) { // TODO Auto-generated method stub super.onActivityResult(requestCode, resultCode, data); // if identification code match to the intent, //if yes we know that is our picture, if(requestCode ==PICK_IMAGE ) { // check if the data comes with intent if(data!= null) { Uri chosenImage = data.getData(); String[] filePathColumn = {MediaStore.Images.Media.DATA}; Cursor cursor = getContentResolver().query(chosenImage, filePathColumn, null, null, null); cursor.moveToFirst(); int columnIndex = cursor.getColumnIndex(filePathColumn[0]); String filePat = cursor.getString(columnIndex); cursor.close(); ImageOfProduct = BitmapFactory.decodeFile(filePat); if(ImageOfProduct!=null) { picture.setImageBitmap(ImageOfProduct); } messageDisplayer("got picture, isn't null " + IdOfPicture); } } } Then the code which converts bitmap to byte[] public byte[] bitmapToByteConvert(Bitmap bit ) { // stream of data getted for compressed bitmap ByteArrayOutputStream gettedData = new ByteArrayOutputStream(); // compressing method bit.compress(CompressFormat.PNG, 0, gettedData); // our byte array return gettedData.toByteArray(); } The method which put data to the row: byte[] image=null; // if the name isn't put to the editView if(name.getText().toString().trim().length()== 0) { messageDisplayer("At least you need to type name of product if you want add it to the DB "); } else{ String desc = description.getText().toString(); if(description.getText().toString().trim().length()==0) { messageDisplayer("the description is set as none"); desc = "none"; } DB.open(); if(ImageOfProduct!= null){ image = bitmapToByteConvert(ImageOfProduct); messageDisplayer("image isn't null"); } else { BitmapDrawable drawable = (BitmapDrawable) picture.getDrawable(); image = bitmapToByteConvert(drawable.getBitmap()); } if(image.length>0 && image!=null) { messageDisplayer(Integer.toString(image.length)); } DB.insertToProductList(name.getText().toString(), desc, image ); DB.close(); messageDisplayer("well done you add the product"); finish(); You can see that I'm checking here the length of array to be sure that I don't send empty one. And here is the place where Error appears imo, this code is from activity which presents the listview with data taken from db private void LoadOurLayoutListWithInfo() { // firstly wee need to open connection with db db= new sqliteDB(getApplicationContext()); db.open(); // creating our custom adaprer, the specification of it will be typed // in our own class (MyArrayAdapter) which will be created below ArrayAdapter<ProductFromTable> customAdapter = new MyArrayAdapter(); //get the info from whole table tablecursor = db.getAllColumns(); if(tablecursor != null) { startManagingCursor(tablecursor); tablecursor.moveToFirst(); } // now we moving all info from tablecursor to ourlist if(tablecursor != null && tablecursor.moveToFirst()) { do{ // taking info from row in table int id = tablecursor.getInt(sqliteDB.ID_COLUMN); String name= tablecursor.getString(sqliteDB.NAME_COLUMN); String description= tablecursor.getString(sqliteDB.DESCRIPTION_COLUMN); byte[] image= tablecursor.getBlob(3); tablefromDB.add(new ProductFromTable(id,name,description,image)); // moving until we didn't find last row }while(tablecursor.moveToNext()); } listView = (ListView) findViewById(R.id.tagwriter_listoftags); //as description says // setAdapter = The ListAdapter which is responsible for maintaining //the data backing this list and for producing a view to represent //an item in that data set. listView.setAdapter(customAdapter); } I put the info from row tho objects which are stored in list. I read tones of question but I can't find any solution for me. Everything works when I put the sample image ( which is stored in app res folder ). Thx for any advice

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  • PHP Export Date range

    - by menormedia
    I have a working database export to xls but I need it to export a particular date range based on the 'closed' date. (See code below). For example, I'd like it to export all 'closed' dates for last month and/or this month (Range: Sept 1, 2012 to Sept 30, 2012 or Oct 1, 2012 to Oct 31, 2012) <?PHP //EDIT YOUR MySQL Connection Info: $DB_Server = "localhost"; //your MySQL Server $DB_Username = "root"; //your MySQL User Name $DB_Password = ""; //your MySQL Password $DB_DBName = "ost_helpdesk"; //your MySQL Database Name $DB_TBLName = "ost_ticket"; //your MySQL Table Name //$DB_TBLName, $DB_DBName, may also be commented out & passed to the browser //as parameters in a query string, so that this code may be easily reused for //any MySQL table or any MySQL database on your server //DEFINE SQL QUERY: //edit this to suit your needs $sql = "Select ticketID, name, company, subject, closed from $DB_TBLName ORDER BY closed DESC"; //Optional: print out title to top of Excel or Word file with Timestamp //for when file was generated: //set $Use_Titel = 1 to generate title, 0 not to use title $Use_Title = 1; //define date for title: EDIT this to create the time-format you need $now_date = DATE('m-d-Y'); //define title for .doc or .xls file: EDIT this if you want $title = "MDT Database Dump For Table $DB_TBLName from Database $DB_DBName on $now_date"; /* Leave the connection info below as it is: just edit the above. (Editing of code past this point recommended only for advanced users.) */ //create MySQL connection $Connect = @MYSQL_CONNECT($DB_Server, $DB_Username, $DB_Password) or DIE("Couldn't connect to MySQL:<br>" . MYSQL_ERROR() . "<br>" . MYSQL_ERRNO()); //select database $Db = @MYSQL_SELECT_DB($DB_DBName, $Connect) or DIE("Couldn't select database:<br>" . MYSQL_ERROR(). "<br>" . MYSQL_ERRNO()); //execute query $result = @MYSQL_QUERY($sql,$Connect) or DIE("Couldn't execute query:<br>" . MYSQL_ERROR(). "<br>" . MYSQL_ERRNO()); //if this parameter is included ($w=1), file returned will be in word format ('.doc') //if parameter is not included, file returned will be in excel format ('.xls') IF (ISSET($w) && ($w==1)) { $file_type = "msword"; $file_ending = "doc"; }ELSE { $file_type = "vnd.ms-excel"; $file_ending = "xls"; } //header info for browser: determines file type ('.doc' or '.xls') HEADER("Content-Type: application/$file_type"); HEADER("Content-Disposition: attachment; filename=MDT_DB_$now_date.$file_ending"); HEADER("Pragma: no-cache"); HEADER("Expires: 0"); /* Start of Formatting for Word or Excel */ IF (ISSET($w) && ($w==1)) //check for $w again { /* FORMATTING FOR WORD DOCUMENTS ('.doc') */ //create title with timestamp: IF ($Use_Title == 1) { ECHO("$title\n\n"); } //define separator (defines columns in excel & tabs in word) $sep = "\n"; //new line character WHILE($row = MYSQL_FETCH_ROW($result)) { //set_time_limit(60); // HaRa $schema_insert = ""; FOR($j=0; $j<mysql_num_fields($result);$j++) { //define field names $field_name = MYSQL_FIELD_NAME($result,$j); //will show name of fields $schema_insert .= "$field_name:\t"; IF(!ISSET($row[$j])) { $schema_insert .= "NULL".$sep; } ELSEIF ($row[$j] != "") { $schema_insert .= "$row[$j]".$sep; } ELSE { $schema_insert .= "".$sep; } } $schema_insert = STR_REPLACE($sep."$", "", $schema_insert); $schema_insert .= "\t"; PRINT(TRIM($schema_insert)); //end of each mysql row //creates line to separate data from each MySQL table row PRINT "\n----------------------------------------------------\n"; } }ELSE{ /* FORMATTING FOR EXCEL DOCUMENTS ('.xls') */ //create title with timestamp: IF ($Use_Title == 1) { ECHO("$title\n"); } //define separator (defines columns in excel & tabs in word) $sep = "\t"; //tabbed character //start of printing column names as names of MySQL fields FOR ($i = 0; $i < MYSQL_NUM_FIELDS($result); $i++) { ECHO MYSQL_FIELD_NAME($result,$i) . "\t"; } PRINT("\n"); //end of printing column names //start while loop to get data WHILE($row = MYSQL_FETCH_ROW($result)) { //set_time_limit(60); // HaRa $schema_insert = ""; FOR($j=0; $j<mysql_num_fields($result);$j++) { IF(!ISSET($row[$j])) $schema_insert .= "NULL".$sep; ELSEIF ($row[$j] != "") $schema_insert .= "$row[$j]".$sep; ELSE $schema_insert .= "".$sep; } $schema_insert = STR_REPLACE($sep."$", "", $schema_insert); //this corrects output in excel when table fields contain \n or \r //these two characters are now replaced with a space $schema_insert = PREG_REPLACE("/\r\n|\n\r|\n|\r/", " ", $schema_insert); $schema_insert .= "\t"; PRINT(TRIM($schema_insert)); PRINT "\n"; } } ?>

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  • Send mail to multiple recipient

    - by Ahmad Maslan
    Hi, i have already research on using the mail() to send to multiple recipient's but i just cant get it to work. What im trying to do is, for every order that i have, order 1,2,3, each having their own email addresses, when i change their order status from pending to confirm, the mail() will use that id to refer to the db table and send the email of those 3 orders. But for my case, it mailed just the latest order which is order 3. This is the form that i use to change the order status. <form action="results-action" method="post" enctype="multipart/form-data"> <fieldset> <table id ="table_id" class="display"> <thead> <tr><td><h2>Pending Order</h2></td></tr> <tr> <th scope="col">Order ID</th> <th scope="col"> </th> <th scope="col">Name</th> <th scope="col">Address</th> <th scope="col">Product Name</th> <th scope="col">Produt Quantity</th> <th scope="col">Price</th> <th scope="col">Order status</th> </tr> </thead> <tbody> <?php while ($row = mysqli_fetch_array($result)) { ?> <tr> <td><input type="text" value='<?=$row['virtuemart_order_id']?>' name="orderid" id="virtuemart_order_id"></td> <td><input type="hidden" value='<?=$row['virtuemart_product_id']?>' name="productid" id="virtuemart_product_id"></td> <td><?=$row['first_name']?></td> <td><?=$row['address_1']?></td> <td><?=$row['order_item_name']?></td> <td><?=$row['product_quantity']?></td> <td><?=$row['product_final_price'] ?></td> <td><select name='change[<?=$row['virtuemart_order_id']?>]'> <option value='C'> Confirmed</option> <option value='X'> Cancelled</option></select></td> </tr> <?php } ?> </tbody> </table> </fieldset> <fieldset> <table> <tr> <td><input type="submit" value="Update status" name="update status"> </td> </tr> </table> </fieldset> </form> This is the php, using the order id from the form to select the email addresses. <?php $orderid = $_POST['orderid']; // build SQL statement to select email addresses $query3 = "SELECT email from ruj3d_virtuemart_order_userinfos where virtuemart_order_id = '$orderid'"; // execute SQL statement $result3 = mysqli_query($link, $query3) or die(mysqli_error($link)); $subject = "Order confirmed by Home and decor"; $message = "Hello! This is a message to inform that your order has been confirmed"; $from = "[email protected]"; $headers = "From: $from"; while($row3 = mysqli_fetch_array($result3)){ $addresses[] = $row3['email']; } $to = implode(",", $addresses); mail($to, $subject, $message, $headers); ?>

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  • How to give position zero of spinner a prompt value?

    - by Eugene H
    The database is then transferring the data to a spinner which I want to leave position 0 blank so I can add a item to the spinner with no value making it look like a prompt. I have been going at it all day. FAil after Fail MainActivity public class MainActivity extends Activity { Button AddBtn; EditText et; EditText cal; Spinner spn; SQLController SQLcon; ProgressDialog PD; @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); AddBtn = (Button) findViewById(R.id.addbtn_id); et = (EditText) findViewById(R.id.et_id); cal = (EditText) findViewById(R.id.et_cal); spn = (Spinner) findViewById(R.id.spinner_id); spn.setOnItemSelectedListener(new OnItemSelectedListenerWrapper( new OnItemSelectedListener() { @Override public void onItemSelected(AdapterView<?> parent, View view, int pos, long id) { SQLcon.open(); Cursor c = SQLcon.readData(); if (c.moveToPosition(pos)) { String name = c.getString(c .getColumnIndex(DBhelper.MEMBER_NAME)); String calories = c.getString(c .getColumnIndex(DBhelper.KEY_CALORIES)); et.setText(name); cal.setText(calories); } SQLcon.close(); // closing database } @Override public void onNothingSelected(AdapterView<?> parent) { // TODO Auto-generated method stub } })); SQLcon = new SQLController(this); // opening database SQLcon.open(); loadtospinner(); AddBtn.setOnClickListener(new OnClickListener() { @Override public void onClick(View v) { new MyAsync().execute(); } }); } public void loadtospinner() { ArrayList<String> al = new ArrayList<String>(); Cursor c = SQLcon.readData(); c.moveToFirst(); while (!c.isAfterLast()) { String name = c.getString(c.getColumnIndex(DBhelper.MEMBER_NAME)); String calories = c.getString(c .getColumnIndex(DBhelper.KEY_CALORIES)); al.add(name + ", Calories: " + calories); c.moveToNext(); } ArrayAdapter<String> aa1 = new ArrayAdapter<String>( getApplicationContext(), android.R.layout.simple_spinner_item, al); spn.setAdapter(aa1); // closing database SQLcon.close(); } private class MyAsync extends AsyncTask<Void, Void, Void> { @Override protected void onPreExecute() { super.onPreExecute(); PD = new ProgressDialog(MainActivity.this); PD.setTitle("Please Wait.."); PD.setMessage("Loading..."); PD.setCancelable(false); PD.show(); } @Override protected Void doInBackground(Void... params) { String name = et.getText().toString(); String calories = cal.getText().toString(); // opening database SQLcon.open(); // insert data into table SQLcon.insertData(name, calories); return null; } @Override protected void onPostExecute(Void result) { super.onPostExecute(result); loadtospinner(); PD.dismiss(); } } } DataBase public class SQLController { private DBhelper dbhelper; private Context ourcontext; private SQLiteDatabase database; public SQLController(Context c) { ourcontext = c; } public SQLController open() throws SQLException { dbhelper = new DBhelper(ourcontext); database = dbhelper.getWritableDatabase(); return this; } public void close() { dbhelper.close(); } public void insertData(String name, String calories) { ContentValues cv = new ContentValues(); cv.put(DBhelper.MEMBER_NAME, name); cv.put(DBhelper.KEY_CALORIES, calories); database.insert(DBhelper.TABLE_MEMBER, null, cv); } public Cursor readData() { String[] allColumns = new String[] { DBhelper.MEMBER_ID, DBhelper.MEMBER_NAME, DBhelper.KEY_CALORIES }; Cursor c = database.query(DBhelper.TABLE_MEMBER, allColumns, null, null, null, null, null); if (c != null) { c.moveToFirst(); } return c; } } Helper public class DBhelper extends SQLiteOpenHelper { // TABLE INFORMATTION public static final String TABLE_MEMBER = "member"; public static final String MEMBER_ID = "_id"; public static final String MEMBER_NAME = "name"; public static final String KEY_CALORIES = "calories"; // DATABASE INFORMATION static final String DB_NAME = "MEMBER.DB"; static final int DB_VERSION = 2; // TABLE CREATION STATEMENT private static final String CREATE_TABLE = "create table " + TABLE_MEMBER + "(" + MEMBER_ID + " INTEGER PRIMARY KEY AUTOINCREMENT, " + MEMBER_NAME + " TEXT NOT NULL," + KEY_CALORIES + " INT NOT NULL);"; public DBhelper(Context context) { super(context, DB_NAME, null, DB_VERSION); } @Override public void onCreate(SQLiteDatabase db) { db.execSQL(CREATE_TABLE); } @Override public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) { // TODO Auto-generated method stub db.execSQL("DROP TABLE IF EXISTS " + TABLE_MEMBER); onCreate(db); } }

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  • ???? ????? ????? ?????? ????? 10.2.0.4

    - by gadi.chen
    Normal 0 false false false EN-US X-NONE HE /* 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} DBA's ?????? ?????? ???? ??? ????? ??? ?????? ???? ????? ????? ??? ?????. ??? ????? ???? ????? ???? ??????? 30-Apr-2011  ???? ???? ?????? ????? ???? ??????? 10.2.0.4. ?????? ????? EBS ?? ????? ????? ????? ????? ??? ??? ???? ????? ?????? extended support, ???? ???? 11.5.10.2 ??? ???? ? 01-Dec-2011 . ) ????? ?????? ????  Minimum Baseline For Extended Support ????? ?????: 883202.1) ???? ????? ????? ?????? ?????? ?? ????? ????? ????? ????????? ???? ?? :   # ATG.RUP6 # Forms6i Patchset 19 # JRE 1.6.0_03       ???? ???? ?????? EBS ?? ????? ?????? ?????? ????? ???? ?????? ?? ,?? ??? ????? ?? ???? ??????.   ????? ???? 10.2.0.4 ?? ???? ?patches ????? ????  30-Apr-2011 . ???? ????  patches ????? ?? ????? ????? 10.2.0.5   .   ???? ????? EBS ????? 3 ?????? ?????? ?? ???: 1.      ????? ????? 11.2.0.2 - ??? ???? ????? ??????? ?????? ??? EBS ??????? 11i   ? R12 2.      ????? ????? 11.1.0.7 -  ??? ???? ????? ?????? ????? ????? 11.1 ??? ?????. 3.      ?????/????? patch 10.2.0.5 -   ???? ????? ?????? ????? ?????? ????? 10gR2 . v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false false EN-US X-NONE HE /* 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";}   ?????? ??????? ???? ??????:     http://blogs.oracle.com/stevenChan/2011/01/ecs_10gr2_10204.html On Database Patching and Support: A Primer for E-Business Suite Users Oracle Database 10.2 End of Premier Support -- Frequently Asked Questions (Note 1130327.1)        

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  • ANY way to consolidate this code?

    - by JM4
    I am building a PHP registration form which takes the following fields for up to 20 athletes: First Name Middle Initial Last Name Federation Number Address City State Zip DOB SSN Phone Email I am only through 7 of the fields for each fighter and my php file is very large (over 40kb). Is there ANY way to consolidate this code at all? I am also having to validate the information on each field (as I said - 20 athletes x 12 fields = 240 validations on a single page). If I can send any further code let me know! <form id="Form" action="<?php $_SERVER['PHP_SELF']; ?>" method="post" name="Form" onsubmit="return Enroll_Form_Validator(this)"> <p class="title">Your Fighters' Information</p> <p>Please complete the following fields with your <span style="color:red;"> Fighters' Information</span> to continue your enrollment.</p> <br /> <?php // if $errors is not empty, the form must have failed one or more validation // tests. Loop through each and display them on the page for the user if (!empty($errors)) { echo "<div class='error'>Please fix the following errors:\n<ul>"; foreach ($errors as $error) echo "<li>$error</li>\n"; echo "</ul></div>"; } ?> <?php if ($_SESSION['Num_Fighters'] > "0") { ?> <table class="demoTable"> <tr> <td>First Name: </td> <td><input type="text" name="F1FirstName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F1FirstName']; ?>" /></td> </tr> <tr> <td>Middle Initial: </td> <td><input type="text" name="F1MI" size="2" maxlength="1" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F1MI']; ?>" /></td> </tr> <tr> <td>Last Name: </td> <td><input type="text" name="F1LastName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F1LastName']; ?>" /></td> </tr> <tr> <td>Federation No: </td> <td><input type="text" name="F1FedNum" maxlength="10" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1FedNum']; ?>" /></td> </tr> <tr> <td>SSN: </td> <td><input type="text" name="F1SSN1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1SSN1']; ?>" /> - <input type="text" name="F1SSN2" size="2" maxlength="2" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1SSN2']; ?>" /> - <input type="text" name="F1SSN3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1SSN3']; ?>" /> </td> </tr> <tr> <td>Date of Birth</td> <td> <select name="F1DOB1"> <option value="">Month</option> <?php for ($i=1; $i<=12; $i++) { echo "<option value='$i'"; if ($fields["F1DOB1"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F1DOB2"> <option value="">Day</option> <?php for ($i=1; $i<=31; $i++) { echo "<option value='$i'"; if ($fields["F1DOB2"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F1DOB3"> <option value="">Year</option> <?php for ($i=date('Y'); $i>=1900; $i--) { echo "<option value='$i'"; if ($fields["F1DOB3"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> </td> </tr> <tr> <td>Address: </td> <td><input type="text" name="F1Address" value="<?php echo $fields['F1Address']; ?>" /></td> </tr> <tr> <td>City: </td> <td><input type="text" name="F1City" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F1City']; ?>" /></td> </tr> <tr> <td>State: </td> <td><select name="F1State"><option value="">Choose a State</option><?php showOptionsDrop($states_arr, null, true); ?></select></td> </tr> <tr> <td>Zip Code: </td> <td><input type="text" name="F1Zip" size="6" maxlength="5" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1Zip']; ?>" /></td> </tr> <tr> <td>Contact Telephone No: </td> <td>( <input type="text" name="F1Phone1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1Phone1']; ?>" /> ) <input type="text" name="F1Phone2" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1Phone2']; ?>" /> - <input type="text" name="F1Phone3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1Phone3']; ?>" /> </td> </tr> <tr> <td>Email:</td> <td><input type="text" name="F1Email" value="<?php echo $fields['F1Email']; ?>" /></td> </tr> </table> <?php } ?> <br /> <?php if ($_SESSION['Num_Fighters'] > "1") { ?> <table class="demoTable"> <tr> <td>First Name: </td> <td><input type="text" name="F2FirstName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F2FirstName']; ?>" /></td> </tr> <tr> <td>Middle Initial: </td> <td><input type="text" name="F2MI" size="2" maxlength="1" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F2MI']; ?>" /></td> </tr> <tr> <td>Last Name: </td> <td><input type="text" name="F2LastName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F2LastName']; ?>" /></td> </tr> <tr> <td>Federation No: </td> <td><input type="text" name="F2FedNum" maxlength="10" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2FedNum']; ?>" /></td> </tr> <tr> <td>SSN: </td> <td><input type="text" name="F2SSN1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2SSN1']; ?>" /> - <input type="text" name="F2SSN2" size="2" maxlength="2" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2SSN2']; ?>" /> - <input type="text" name="F2SSN3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2SSN3']; ?>" /> </td> </tr> <tr> <td>Date of Birth</td> <td> <select name="F2DOB1"> <option value="">Month</option> <?php for ($i=1; $i<=12; $i++) { echo "<option value='$i'"; if ($fields["F2DOB1"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F2DOB2"> <option value="">Day</option> <?php for ($i=1; $i<=31; $i++) { echo "<option value='$i'"; if ($fields["F2DOB2"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F2DOB3"> <option value="">Year</option> <?php for ($i=date('Y'); $i>=1900; $i--) { echo "<option value='$i'"; if ($fields["F2DOB3"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> </td> </tr> <tr> <td>Address: </td> <td><input type="text" name="F2Address" value="<?php echo $fields['F2Address']; ?>" /></td> </tr> <tr> <td>City: </td> <td><input type="text" name="F2City" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F2City']; ?>" /></td> </tr> <tr> <td>State: </td> <td><select name="F2State"><option value="">Choose a State</option><?php showOptionsDrop($states_arr, null, true); ?></select></td> </tr> <tr> <td>Zip Code: </td> <td><input type="text" name="F2Zip" size="6" maxlength="5" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2Zip']; ?>" /></td> </tr> <tr> <td>Contact Telephone No: </td> <td>( <input type="text" name="F2Phone1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2Phone1']; ?>" /> ) <input type="text" name="F2Phone2" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2Phone2']; ?>" /> - <input type="text" name="F2Phone3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2Phone3']; ?>" /> </td> </tr> <tr> <td>Email:</td> <td><input type="text" name="F2Email" value="<?php echo $fields['F2Email']; ?>" /></td> </tr> </table> <?php } ?> <br /> <?php if ($_SESSION['Num_Fighters'] > "2") { ?> <table class="demoTable"> <tr> <td>First Name: </td> <td><input type="text" name="F3FirstName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F3FirstName']; ?>" /></td> </tr> <tr> <td>Middle Initial: </td> <td><input type="text" name="F3MI" size="2" maxlength="1" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F3MI']; ?>" /></td> </tr> <tr> <td>Last Name: </td> <td><input type="text" name="F3LastName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F3LastName']; ?>" /></td> </tr> <tr> <td>Federation No: </td> <td><input type="text" name="F3FedNum" maxlength="10" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3FedNum']; ?>" /></td> </tr> <tr> <td>SSN: </td> <td><input type="text" name="F3SSN1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3SSN1']; ?>" /> - <input type="text" name="F3SSN2" size="2" maxlength="2" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3SSN2']; ?>" /> - <input type="text" name="F3SSN3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3SSN3']; ?>" /> </td> </tr> <tr> <td>Date of Birth</td> <td> <select name="F3DOB1"> <option value="">Month</option> <?php for ($i=1; $i<=12; $i++) { echo "<option value='$i'"; if ($fields["F3DOB1"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F3DOB2"> <option value="">Day</option> <?php for ($i=1; $i<=31; $i++) { echo "<option value='$i'"; if ($fields["F3DOB2"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F3DOB3"> <option value="">Year</option> <?php for ($i=date('Y'); $i>=1900; $i--) { echo "<option value='$i'"; if ($fields["F3DOB3"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> </td> </tr> <tr> <td>Address: </td> <td><input type="text" name="F3Address" value="<?php echo $fields['F3Address']; ?>" /></td> </tr> <tr> <td>City: </td> <td><input type="text" name="F3City" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F3City']; ?>" /></td> </tr> <tr> <td>State: </td> <td><select name="F3State"><option value="">Choose a State</option><?php showOptionsDrop($states_arr, null, true); ?></select></td> </tr> <tr> <td>Zip Code: </td> <td><input type="text" name="F3Zip" size="6" maxlength="5" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3Zip']; ?>" /></td> </tr> <tr> <td>Contact Telephone No: </td> <td>( <input type="text" name="F3Phone1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3Phone1']; ?>" /> ) <input type="text" name="F3Phone2" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3Phone2']; ?>" /> - <input type="text" name="F3Phone3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3Phone3']; ?>" /> </td> </tr> <tr> <td>Email:</td> <td><input type="text" name="F3Email" value="<?php echo $fields['F3Email']; ?>" /></td> </tr> </table> <?php } ?> <br /> <?php if ($_SESSION['Num_Fighters'] > "3") { ?> <table class="demoTable"> <tr> <td>First Name: </td> <td><input type="text" name="F4FirstName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F4FirstName']; ?>" /></td> </tr> <tr> <td>Middle Initial: </td> <td><input type="text" name="F4MI" size="2" maxlength="1" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F4MI']; ?>" /></td> </tr> <tr> <td>Last Name: </td> <td><input type="text" name="F4LastName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F4LastName']; ?>" /></td> </tr> <tr> <td>Federation No: </td> <td><input type="text" name="F4FedNum" maxlength="10" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4FedNum']; ?>" /></td> </tr> <tr> <td>SSN: </td> <td><input type="text" name="F4SSN1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4SSN1']; ?>" /> - <input type="text" name="F4SSN2" size="2" maxlength="2" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4SSN2']; ?>" /> - <input type="text" name="F4SSN3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4SSN3']; ?>" /> </td> </tr> <tr> <td>Date of Birth</td> <td> <select name="F4DOB1"> <option value="">Month</option> <?php for ($i=1; $i<=12; $i++) { echo "<option value='$i'"; if ($fields["F4DOB1"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F4DOB2"> <option value="">Day</option> <?php for ($i=1; $i<=31; $i++) { echo "<option value='$i'"; if ($fields["F4DOB2"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F4DOB3"> <option value="">Year</option> <?php for ($i=date('Y'); $i>=1900; $i--) { echo "<option value='$i'"; if ($fields["F4DOB3"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> </td> </tr> <tr> <td>Address: </td> <td><input type="text" name="F4Address" value="<?php echo $fields['F4Address']; ?>" /></td> </tr> <tr> <td>City: </td> <td><input type="text" name="F4City" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F4City']; ?>" /></td> </tr> <tr> <td>State: </td> <td><select name="F4State"><option value="">Choose a State</option><?php showOptionsDrop($states_arr, null, true); ?></select></td> </tr> <tr> <td>Zip Code: </td> <td><input type="text" name="F4Zip" size="6" maxlength="5" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4Zip']; ?>" /></td> </tr> <tr> <td>Contact Telephone No: </td> <td>( <input type="text" name="F4Phone1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4Phone1']; ?>" /> ) <input type="text" name="F4Phone2" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4Phone2']; ?>" /> - <input type="text" name="F4Phone3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4Phone3']; ?>" /> </td> </tr> <tr> <td>Email:</td> <td><input type="text" name="F4Email" value="<?php echo $fields['F4Email']; ?>" /></td> </tr> </table> <?php } ?> <div align="right"><input class="enrbutton" type="submit" name="submit" value="Continue" /></div> </form> This only goes through 4 athletes and I need it to capture 20. Any ideas? I am forced to keep all 200+ elements in SESSION assuming somebody enrolls 20 athletes.

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  • Challenge 19 – An Explanation of a Query

    - by Dave Ballantyne
    I have received a number of requests for an explanation of my winning query of TSQL Challenge 19. This involved traversing a hierarchy of employees and rolling a count of orders from subordinates up to superiors. The first concept I shall address is the hierarchyId , which is constructed within the CTE called cteTree.   cteTree is a recursive cte that will expand the parent-child hierarchy of the personnel in the table @emp.  One useful feature with a recursive cte is that data can be ‘passed’ from the parent to the child data.  The hierarchyId column is similar to the hierarchyId data type that was introduced in SQL Server 2008 and represents the position of the person within the organisation. Let us start with a simplistic example Albert manages Bob and Eddie.  Bob manages Carl and Dave. The hierarchyId will represent each person’s position in this relationship in a single field.  In this simple example we could append the userID together into a varchar field as detailed below. This will enable us to select a branch of the tree by filtering using Where hierarchyId  ‘1,2%’ to select Bob and all his subordinates.  Naturally, this is not comprehensive enough to provide a full solution, but as opposed to concatenating the Id’s together into a varchar datatyped column, we can apply the same theory to a varbinary.  By CASTing the ID’s into a datatype of varbinary(4) ,4 is used as 4 bytes of data are used to store an integer and building a hierarchyId  from those.  For example: The important point to bear in mind for later in the query is that the binary data generated is 'byte order comparable'. ie We can ORDER a dataset with it and the resulting data, will be in the order required. Now, would probably be a good time to download the example file and, after the cte ‘cteTree’, uncomment the line ‘select * from cteTree’.  Mark this and all prior code and execute.  This will show you how this theory directly relates to the actual challenge data.  The only deviation from the above, is that instead of using the ID of an employee, I have used the row_number() ranking function to order each level by LastName,Firstname.  This enables me to order by the HierarchyId in the final result set so that the result set is in the required order. Your output should be something like the below.  Notice also the ‘Level’ Column that contains the depth that the employee is within the tree.  I would encourage you to ‘play’ with the query, change the order in the row_number() or the length of the cast in the hierarchyId to see how that effects the outcome.  The next cte, ‘cteTreeWithOrderCount’, is a join between cteTree and the @ord table, and COUNT’s the number of orders per employee.  A LEFT JOIN is employed here to account for the occasion where an employee has made no sales.   Executing a ‘Select * from cteTreeWithOrderCount’ will return the result set as below.  The order here is unimportant as this is only a staging point of the data and only the final result set in a cte chain needs an Order by clause, unless TOP is utilised. cteExplode joins the above result set to the tally table (Nums) for Level Occurances.  So, if level is 2 then 2 rows are required.  This is done to expand the dataset, to create a new column (PathInc), which is the (n+1) integers contained within the heirarchyid.  For example, with the data for Robert King as given above, the below 3 rows will be returned. From this you can see that the pathinc column now contains the values for Andrew Fuller and Steven Buchanan who are Robert King’s superiors within the tree.    Finally cteSumUp, sums the orders for each person and their subordinates using the PathInc generated above, and the final select does the final simple mathematics and filters to restrict the result set to only the ‘original’ row per employee.

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  • Text Expansion Awareness for UX Designers: Points to Consider

    - by ultan o'broin
    Awareness of translated text expansion dynamics is important for enterprise applications UX designers (I am assuming all source text for translation is in English, though apps development can takes place in other natural languages too). This consideration goes beyond the standard 'character multiplication' rule and must take into account the avoidance of other layout tricks that a designer might be tempted to try. Follow these guidelines. For general text expansion, remember the simple rule that the shorter the word is in the English, the longer it will need to be in English. See the examples provided by Richard Ishida of the W3C and you'll get the idea. So, forget the 30 percent or one inch minimum expansion rule of the old Forms days. Unfortunately remembering convoluted text expansion rules, based as a percentage of the US English character count can be tough going. Try these: Up to 10 characters: 100 to 200% 11 to 20 characters: 80 to 100% 21 to 30 characters: 60 to 80% 31 to 50 characters: 40 to 60% 51 to 70 characters: 31 to 40% Over 70 characters: 30% (Source: IBM) So it might be easier to remember a rule that if your English text is less than 20 characters then allow it to double in length (200 percent), and then after that assume an increase by half the length of the text (50%). (Bear in mind that ADF can apply truncation rules on some components in English too). (If your text is stored in a database, developers must make sure the table column widths can accommodate the expansion of your text when translated based on byte size for the translated character and not numbers of characters. Use Unicode. One character does not equal one byte in the multilingual enterprise apps world.) Rely on a graceful transformation of translated text. Let all pages to resize dynamically so the text wraps and flow naturally. ADF pages supports this already. Think websites. Don't hard-code alignments. Use Start and End properties on components and not Left or Right. Don't force alignments of components on the page by using texts of a certain length as spacers. Use proper label positioning and anchoring in ADF components or other technologies. Remember that an increase in text length means an increase in vertical space too when pages are resized. So don't hard-code vertical heights for any text areas. Don't be tempted to manually create text or printed reports this way either. They cannot be translated successfully, and are very difficult to maintain in English. Use XML, HTML, RTF and so on. Check out what Oracle BI Publisher offers. Don't force wrapping by using tricks such as /n or /t characters or HTML BR tags or forced page breaks. Once the text is translated the alignment will be destroyed. The position of the breaking character or tag would need to be moved anyway, or even removed. When creating tables, then use table components. Don't use manually created tables that reply on word length to maintain column and row alignment. For example, don't use codeblock elements in HTML; use the proper table elements instead. Once translated, the alignment of manually formatted tabular data is destroyed. Finally, if there is a space restriction, then don't use made-up acronyms, abbreviations or some form of daft text speak to save space. Besides being incomprehensible in English, they may need full translations of the shortened words, even if they can be figured out. Use approved or industry standard acronyms according to the UX style rules, not as a space-saving device. Restricted Real Estate on Mobile Devices On mobile devices real estate is limited. Using shortened text is fine once it is comprehensible. Users in the mobile space prefer brevity too, as they are on the go, performing three-minute tasks, with no time to read lengthy texts. Using fragments and lightning up on unnecessary articles and getting straight to the point with imperative forms of verbs makes sense both on real estate and user experience grounds.

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  • Inequality joins, Asynchronous transformations and Lookups : SSIS

    - by jamiet
    It is pretty much accepted by SQL Server Integration Services (SSIS) developers that synchronous transformations are generally quicker than asynchronous transformations (for a description of synchronous and asynchronous transformations go read Asynchronous and synchronous data flow components). Notice I said “generally” and not “always”; there are circumstances where using asynchronous transformations can be beneficial and in this blog post I’ll demonstrate such a scenario, one that is pretty common when building data warehouses. Imagine I have a [Customer] dimension table that manages information about all of my customers as a slowly-changing dimension. If that is a type 2 slowly changing dimension then you will likely have multiple rows per customer in that table. Furthermore you might also have datetime fields that indicate the effective time period of each member record. Here is such a table that contains data for four dimension members {Terry, Max, Henry, Horace}: Notice that we have multiple records per customer and that the [SCDStartDate] of a record is equivalent to the [SCDEndDate] of the record that preceded it (if there was one). (Note that I am on record as saying I am not a fan of this technique of storing an [SCDEndDate] but for the purposes of clarity I have included it here.) Anyway, the idea here is that we will have some incoming data containing [CustomerName] & [EffectiveDate] and we need to use those values to lookup [Customer].[CustomerId]. The logic will be: Lookup a [CustomerId] WHERE [CustomerName]=[CustomerName] AND [SCDStartDate] <= [EffectiveDate] AND [EffectiveDate] <= [SCDEndDate] The conventional approach to this would be to use a full cached lookup but that isn’t an option here because we are using inequality conditions. The obvious next step then is to use a non-cached lookup which enables us to change the SQL statement to use inequality operators: Let’s take a look at the dataflow: Notice these are all synchronous components. This approach works just fine however it does have the limitation that it has to issue a SQL statement against your lookup set for every row thus we can expect the execution time of our dataflow to increase linearly in line with the number of rows in our dataflow; that’s not good. OK, that’s the obvious method. Let’s now look at a different way of achieving this using an asynchronous Merge Join transform coupled with a Conditional Split. I’ve shown it post-execution so that I can include the row counts which help to illustrate what is going on here: Notice that there are more rows output from our Merge Join component than on the input. That is because we are joining on [CustomerName] and, as we know, we have multiple records per [CustomerName] in our lookup set. Notice also that there are two asynchronous components in here (the Sort and the Merge Join). I have embedded a video below that compares the execution times for each of these two methods. The video is just over 8minutes long. View on Vimeo  For those that can’t be bothered watching the video I’ll tell you the results here. The dataflow that used the Lookup transform took 36 seconds whereas the dataflow that used the Merge Join took less than two seconds. An illustration in case it is needed: Pretty conclusive proof that in some scenarios it may be quicker to use an asynchronous component than a synchronous one. Your mileage may of course vary. The scenario outlined here is analogous to performance tuning procedural SQL that uses cursors. It is common to eliminate cursors by converting them to set-based operations and that is effectively what we have done here. Our non-cached lookup is performing a discrete operation for every single row of data, exactly like a cursor does. By eliminating this cursor-in-disguise we have dramatically sped up our dataflow. I hope all of that proves useful. You can download the package that I demonstrated in the video from my SkyDrive at http://cid-550f681dad532637.skydrive.live.com/self.aspx/Public/BlogShare/20100514/20100514%20Lookups%20and%20Merge%20Joins.zip Comments are welcome as always. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • OWB 11gR2 - Find and Search Metadata in Designer

    - by David Allan
    Here are some tools and techniques for finding objects, specifically in the design repository. There are ways of navigating and collating objects that are useful for day to day development and build-time usage - this includes features out of the box and utilities constructed on top. There are a variety of techniques to navigate and find objects in the repository, the first 3 are out of the box, the 4th is an expert utility. Navigating by the tree, grouping by project and module - ok if you are aware of the exact module/folder that objects reside in. The structure panel is a useful way of finding parts of an object, especially when large rather than using the canvas. In large scale projects it helps to have accelerators (either find or collections below). Advanced find to search by name - 11gR2 included a find capability specifically for large scale projects. There were improvements in both the tree search and the object editors (including highlighting in mapping for example). So you can now do regular expression based search and quickly navigate to objects within a repository. Collections - logically organize your objects into virtual folders by shortcutting the actual objects. This is useful for a range of things since all the OWB services operate on collections too (export/import, validation, deployment). See the post here for new collection functionality in 11gR2. Reports for searching by type, updated on, updated by etc. Useful for activities such as periodic incremental actions (deploy all mappings changed in the past week). The report style view is useful since I can quickly see who changed what and when. You can see all the audit details for objects within each objects property inspector, but its useful to just get all objects changed today or example, all objects changed since my last build etc. This utility combines both UI extensions via experts and the public views on the repository. In the figure to the right you see the contextual option 'Object Search' which invokes the utility, you can see I have quite a number of modules within my project. Figure out all the potential objects which have been changed is not simple. The utility is an expert which provides this kind of search capability. The utility provides a report of the objects in the design repository which satisfy some filter criteria. The type of criteria includes; objects updated in the last n days optionally filter the objects updated by user filter the user by project and by type (table/mappings etc.) The search dialog appears with these options, you can multi-select the object types, so for example you can select TABLE and MAPPING. Its also possible to search across projects if need be. If you have multiple users using the repository you can define the OWB user name in the 'Updated by' property to restrict the report to just that user also. Finally there is a search name that will be used for some of the options such as building a collection - this name is used for the collection to be built. In the example I have done, I've just searched my project for all process flows and mappings that users have updated in the last 7 days. The results of the query are returned in a table containing the object names, types, full path and audit details. The columns are sort-able, you can sort the results by name, type, path etc. One of the cool things here, is that you can then perform operations on these objects - such as edit them, export single selection or entire results to MDL, create a collection from the results (now you have a saved set of references in the repository, you could do deploy/export etc.), create a deployment script from the results...or even add in your own ideas! You see from this that you can do bulk operations on sets of objects based on search results. So for example selecting the 'Build Collection' option creates a collection with all of the objects from my search, you can subsequently deploy/generate/maintain this collection of objects. Under the hood of the expert if just basic OMB commands from the product and the use of the public views on the design repository. You can see how easy it is to build up macro-like capabilities that will help you do day-to-day as well as build like tasks on sets of objects.

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  • List of all states from COMPOSITE_INSTANCE, CUBE_INSTANCE, DLV_MESSAGE tables

    - by Deepak Arora
    In many of my engagements I get asked repeatedly about the states of the composites in 11g and how to decipher them, especially when we are troubleshooting issues around purging. I have compiled a list of all the states from the COMPOSITE_INSTANCE, CUBE_INSTANCE, DLV_MESSAGE and MEDIATOR_INSTANCE tables. These are the primary tables that are used when using BPEL composites and how they are used with the ECID.  Composite State Values COMPOSITE_INSTANCE States State Description 0 Running 1 Completed 2 Running with faults 3 Completed with faults 4 Running with recovery required 5 Completed with recovery required 6 Running with faults and recovery required 7 Completed with faults and recovery required 8 Running with suspended 9 Completed with suspended 10 Running with faults and suspended 11 Completed with faults and suspended 12 Running with recovery required and suspended 13 Completed with recovery required and suspended 14 Running with faults, recovery required, and suspended 15 Completed with faults, recovery required, and suspended 16 Running with terminated 17 Completed with terminated 18 Running with faults and terminated 19 Completed with faults and terminated 20 Running with recovery required and terminated 21 Completed with recovery required and terminated 22 Running with faults, recovery required, and terminated 23 Completed with faults, recovery required, and terminated 24 Running with suspended and terminated 25 Completed with suspended and terminated 26 Running with faulted, suspended, and terminated 27 Completed with faulted, suspended, and terminated 28 Running with recovery required, suspended, and terminated 29 Completed with recovery required, suspended, and terminated 30 Running with faulted, recovery required, suspended, and terminated 31 Completed with faulted, recovery required, suspended, and terminated 32 Unknown 64 - Normal 0 false false false EN-CA X-NONE X-NONE MicrosoftInternetExplorer4 /* 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:0in; mso-para-margin-bottom:.0001pt; 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-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Any value in the range of 32 to 63 indicates that the composite instance state has not been enabled, but the instance state is updated for faults, aborts, etc. CUBE_INSTANCE States State Description 0 STATE_INITIATED 1 STATE_OPEN_RUNNING 2 STATE_OPEN_SUSPENDED 3 STATE_OPEN_FAULTED 4 STATE_CLOSED_PENDING_CANCEL 5 STATE_CLOSED_COMPLETED 6 STATE_CLOSED_FAULTED 7 STATE_CLOSED_CANCELLED 8 STATE_CLOSED_ABORTED 9 STATE_CLOSED_STALE 10 STATE_CLOSED_ROLLED_BACK DLV_MESSAGE States State Description 0 STATE_UNRESOLVED 1 STATE_RESOLVED 2 STATE_HANDLED 3 STATE_CANCELLED 4 STATE_MAX_RECOVERED Since now in 11g the Invoke_Messages table is not there so to distinguish between a new message (Invoke) and callback (DLV) and there is DLV_TYPE column that defines the type of message: DLV_TYPE States State Description 1 Invoke Message 2 DLV Message MEDIATOR_INSTANCE STATE Description  0  No faults but there still might be running instances  1  At least one case is aborted by user  2  At least one case is faulted (non-recoverable)  3  At least one case is faulted and one case is aborted  4  At least one case is in recovery required state  5 At least one case is in recovery required state and at least one is aborted  6 At least one case is in recovery required state and at least one is faulted  7 At least one case is in recovery required state, one faulted and one aborted  >=8 and < 16  Running >= 16   Stale In my next blog posting I will walk through the lifecycle of a BPEL process using the above states for the following use cases: - New BPEL process - initial Receive activity - Callback BPEL process - mid-level Receive activity As always comments and questions welcome! Deepak

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