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• Oracle HRMS API – Create or Update Employee Phone

  - by PRajkumar

  API --  hr_phone_api.create_or_update_phone   Example -- DECLARE        ln_phone_id                              PER_PHONES.PHONE_ID%TYPE;        ln_object_version_number    PER_PHONES.OBJECT_VERSION_NUMBER%TYPE; BEGIN    -- Create or Update Employee Phone Detail    -- -----------------------------------------------------------     hr_phone_api.create_or_update_phone     (   -- Input data elements         -- -----------------------------         p_date_from                             => TO_DATE('13-JUN-2011'),         p_phone_type                          => 'W1',         p_phone_number                   => '9999999',         p_parent_id                              => 32979,         p_parent_table                         => 'PER_ALL_PEOPLE_F',         p_effective_date                       => TO_DATE('13-JUN-2011'),         -- Output data elements         -- --------------------------------         p_phone_id                              => ln_phone_id,         p_object_version_number    => ln_object_version_number      );    COMMIT; EXCEPTION       WHEN OTHERS THEN                     ROLLBACK;                      dbms_output.put_line(SQLERRM); END; / SHOW ERR;  

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• Oracle HRMS API – Delete Employee Element Entry

  - by PRajkumar

  API --  pay_element_entry_api.delete_element_entry    Example -- Consider Employee has Element Entry "Bonus". Lets try to Delete Element Entry "Bonus" using delete API     DECLARE       ld_effective_start_date            DATE;       ld_effective_end_date             DATE;       lb_delete_warning                   BOOLEAN;       ln_object_version_number    PAY_ELEMENT_ENTRIES_F.OBJECT_VERSION_NUMBER%TYPE := 1; BEGIN       -- Delete Element Entry       -- -------------------------------         pay_element_entry_api.delete_element_entry         (    -- Input data elements              -- ------------------------------              p_datetrack_delete_mode    => 'DELETE',              p_effective_date                      => TO_DATE('23-JUNE-2011'),              p_element_entry_id               => 118557,              -- Output data elements              -- --------------------------------              p_object_version_number   => ln_object_version_number,              p_effective_start_date           => ld_effective_start_date,              p_effective_end_date            => ld_effective_end_date,              p_delete_warning                  => lb_delete_warning         );    COMMIT; EXCEPTION         WHEN OTHERS THEN                           ROLLBACK;                           dbms_output.put_line(SQLERRM); END; / SHOW ERR;  

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• How to Create Views for All Tables with Oracle SQL Developer

  - by thatjeffsmith

  Got this question over the weekend via a friend and Oracle ACE Director, so I thought I would share the answer here. If you want to quickly generate DDL to create VIEWs for all the tables in your system, the easiest way to do that with SQL Developer is to create a data model. Wait, why would I want to do this? StackOverflow has a few things to say on this subject… So, start with importing a data dictionary. Step One: Open of Create a Model In SQL Developer, go to View – Data Modeler – Browser. Then in the browser panel, expand your design and create a new Relational Model. Step Two: Import your Data Dictionary This is a fancy way of saying, ‘suck objects out of the database into my model’ This will open a wizard to connect, select your schema(s), objects, etc. Once they’re in your model, you’re ready to cook with gas I’m using HR (Human Resources) for this example. You should end up with something that looks like this. Our favorite HR model Now we’re ready to generate the views! Step Three: Auto-generate the Views Go to Tools – Data Modeler – Table to View Wizard. I don’t want all my tables included, and I want to change the naming standard Decide if you want to change the default generated view names By default the views will be created as ‘V_TABLE_NAME.’ If you don’t like the ‘V_’ you can enter your own. You also can reference the object and model name with variables as shown in the screenshot above. I’m going to go with something a little more personal. The views are the little green boxes in the diagram Can’t find your views? They should be grouped together in your diagram. Don’t forget to use the Navigator to easily find and navigate to those model diagram objects! Step Four: Generate the DDL Ok, let’s use the Generate DDL button on the toolbar. Un-check everything but your views If you used a prefix, take advantage of that to create a filter. You might have existing views in your model that you don’t want to include, right? Once you click ‘OK’ the DDL will be generated. -- Generated by Oracle SQL Developer Data Modeler 4.0.0.825 -- at: 2013-11-04 10:26:39 EST -- site: Oracle Database 11g -- type: Oracle Database 11g CREATE OR REPLACE VIEW HR.TJS_BLOG_COUNTRIES ( COUNTRY_ID , COUNTRY_NAME , REGION_ID ) AS SELECT COUNTRY_ID , COUNTRY_NAME , REGION_ID FROM HR.COUNTRIES ; CREATE OR REPLACE VIEW HR.TJS_BLOG_EMPLOYEES ( EMPLOYEE_ID , FIRST_NAME , LAST_NAME , EMAIL , PHONE_NUMBER , HIRE_DATE , JOB_ID , SALARY , COMMISSION_PCT , MANAGER_ID , DEPARTMENT_ID ) AS SELECT EMPLOYEE_ID , FIRST_NAME , LAST_NAME , EMAIL , PHONE_NUMBER , HIRE_DATE , JOB_ID , SALARY , COMMISSION_PCT , MANAGER_ID , DEPARTMENT_ID FROM HR.EMPLOYEES ; CREATE OR REPLACE VIEW HR.TJS_BLOG_JOBS ( JOB_ID , JOB_TITLE , MIN_SALARY , MAX_SALARY ) AS SELECT JOB_ID , JOB_TITLE , MIN_SALARY , MAX_SALARY FROM HR.JOBS ; CREATE OR REPLACE VIEW HR.TJS_BLOG_JOB_HISTORY ( EMPLOYEE_ID , START_DATE , END_DATE , JOB_ID , DEPARTMENT_ID ) AS SELECT EMPLOYEE_ID , START_DATE , END_DATE , JOB_ID , DEPARTMENT_ID FROM HR.JOB_HISTORY ; CREATE OR REPLACE VIEW HR.TJS_BLOG_LOCATIONS ( LOCATION_ID , STREET_ADDRESS , POSTAL_CODE , CITY , STATE_PROVINCE , COUNTRY_ID ) AS SELECT LOCATION_ID , STREET_ADDRESS , POSTAL_CODE , CITY , STATE_PROVINCE , COUNTRY_ID FROM HR.LOCATIONS ; CREATE OR REPLACE VIEW HR.TJS_BLOG_REGIONS ( REGION_ID , REGION_NAME ) AS SELECT REGION_ID , REGION_NAME FROM HR.REGIONS ; -- Oracle SQL Developer Data Modeler Summary Report: -- -- CREATE TABLE 0 -- CREATE INDEX 0 -- ALTER TABLE 0 -- CREATE VIEW 6 -- CREATE PACKAGE 0 -- CREATE PACKAGE BODY 0 -- CREATE PROCEDURE 0 -- CREATE FUNCTION 0 -- CREATE TRIGGER 0 -- ALTER TRIGGER 0 -- CREATE COLLECTION TYPE 0 -- CREATE STRUCTURED TYPE 0 -- CREATE STRUCTURED TYPE BODY 0 -- CREATE CLUSTER 0 -- CREATE CONTEXT 0 -- CREATE DATABASE 0 -- CREATE DIMENSION 0 -- CREATE DIRECTORY 0 -- CREATE DISK GROUP 0 -- CREATE ROLE 0 -- CREATE ROLLBACK SEGMENT 0 -- CREATE SEQUENCE 0 -- CREATE MATERIALIZED VIEW 0 -- CREATE SYNONYM 0 -- CREATE TABLESPACE 0 -- CREATE USER 0 -- -- DROP TABLESPACE 0 -- DROP DATABASE 0 -- -- REDACTION POLICY 0 -- -- ERRORS 0 -- WARNINGS 0 You can then choose to save this to a file or not. This has a few steps, but as the number of tables in your system increases, so does the amount of time this feature can save you!

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• SQL SERVER – Puzzle – Statistics are not Updated but are Created Once

  - by pinaldave

  After having excellent response to my quiz – Why SELECT * throws an error but SELECT COUNT(*) does not?I have decided to ask another puzzling question to all of you. I am running this test on SQL Server 2008 R2. Here is the quick scenario about my setup. Create Table Insert 1000 Records Check the Statistics Now insert 10 times more 10,000 indexes Check the Statistics – it will be NOT updated Note: Auto Update Statistics and Auto Create Statistics for database is TRUE Expected Result – Statistics should be updated – SQL SERVER – When are Statistics Updated – What triggers Statistics to Update Now the question is why the statistics are not updated? The common answer is – we can update the statistics ourselves using UPDATE STATISTICS TableName WITH FULLSCAN, ALL However, the solution I am looking is where statistics should be updated automatically based on algorithm mentioned here. Now the solution is to ____________________. Vinod Kumar is not allowed to take participate over here as he is the one who has helped me to build this puzzle. I will publish the solution on next week. Please leave a comment and if your comment consist valid answer, I will publish with due credit. Here is the script to reproduce the scenario which I mentioned. -- Execution Plans Difference -- Create Sample Database CREATE DATABASE SampleDB GO USE SampleDB GO -- Create Table CREATE TABLE ExecTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Insert One Thousand Records -- INSERT 1 INSERT INTO ExecTable (ID,FirstName,LastName,City) SELECT TOP 1000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Display statistics of the table - none listed sp_helpstats N'ExecTable', 'ALL' GO -- Select Statement SELECT FirstName, LastName, City FROM ExecTable WHERE City  = 'New York' GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Replace your Statistics over here -- NOTE: Replace your _WA_Sys with stats from above query DBCC SHOW_STATISTICS('ExecTable', _WA_Sys_00000004_7D78A4E7); GO -------------------------------------------------------------- -- Round 2 -- Insert Ten Thousand Records -- INSERT 2 INSERT INTO ExecTable (ID,FirstName,LastName,City) SELECT TOP 10000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%20 = 1 THEN 'New York' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 5 THEN 'San Marino' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 3 THEN 'Los Angeles' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 7 THEN 'La Cinega' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 13 THEN 'San Diego' WHEN  ROW_NUMBER() OVER (ORDER BY a.name)%20 = 17 THEN 'Las Vegas' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Select Statement SELECT FirstName, LastName, City FROM ExecTable WHERE City  = 'New York' GO -- Display statistics of the table sp_helpstats N'ExecTable', 'ALL' GO -- Replace your Statistics over here -- NOTE: Replace your _WA_Sys with stats from above query DBCC SHOW_STATISTICS('ExecTable', _WA_Sys_00000004_7D78A4E7); GO -- You will notice that Statistics are still updated with 1000 rows -- Clean up Database DROP TABLE ExecTable GO USE MASTER GO ALTER DATABASE SampleDB SET SINGLE_USER WITH ROLLBACK IMMEDIATE; GO DROP DATABASE SampleDB GO Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Statistics, Statistics

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• Algorithm for querying linearly through a non-linear list of questions

  - by JoshLeaves

  For a multiplayers trivia game, I need to supply my users with a new quizz in a desired subject (Science, Maths, Litt. and such) at the start of every game. I've generated about 5K quizzes for each subject and filled my database with them. So my 'Quizzes' database looks like this: |ID |Subject |Question +-----+------------+---------------------------------- | 23 |Science | What's water? | 42 |Maths | What's 2+2? | 99 |Litt. | Who wrote "Pride and Prejudice"? | 123 |Litt. | Who wrote "On The Road"? | 146 |Maths | What's 2*2? | 599 |Science | You know what's cool? |1042 |Maths | What's the Fibonacci Sequence? |1056 |Maths | What's 42? And so on... (Much more detailed/complex but I'll keep the exemple simple) As you can see, due to technical constraints (MongoDB), my IDs are not linear but I can use them as an increasing suite. So far, my algorithm to ensure two users get a new quizz when they play together is the following: // Take the last played quizzes by P1 and P2 var q_one = player_one.getLastPlayedQuizz('Maths'); var q_two = player_two.getLastPlayedQuizz('Maths'); // If both of them never played in the subject, return first quizz in the list if ((q_one == NULL) && (q_two == NULL)) return QuizzDB.findOne({subject: 'Maths'}); // If one of them never played, play the next quizz for the other player // This quizz is found by asking for the first quizz in the desired subject where // the ID is greater than the last played quizz's ID (if the last played quizz ID // is 42, this will return 146 following the above example database) if (q_one == NULL) return QuizzDB.findOne({subject: 'Maths', ID > q_two}); if (q_two == NULL) return QuizzDB.findOne({subject: 'Maths', ID > q_one}); // And if both of them have a lastPlayedQuizz, we return the next quizz for the // player whose lastPlayedQuizz got the higher ID if (q_one > q_two) return QuizzDB.findOne({subject: 'Maths', ID > q_one}); else return QuizzDB.findOne({subject: 'Maths', ID > q_two}); Now here comes the real problem: Once I get to the end of my database (let's say, P1's last played quizz in 'Maths' is 1056, P2's is 146 and P3 is 1042), following my algorithm, P1's ID is the highest so I ask for the next question in 'Maths' where ID is superior to 1056. There is nothing, so I roll back to the beginning of my quizz list (with a random skipper to avoid having the first question always show up). P1 and P2's last played will then be 42 and they will start fresh from the beginning of the list. However, if P1 (42) plays against P3 (1042), the resulting ID will be 1056...which P1 already played two games ago. Basically, players who just "rolled back" to the beginning of the list will be brought back to the end of the list by players who still haven't rolled back. The rollback WILL happen in the end, but it'll take time and there'll be a "bottleneck" at the beginning and at the end. Thus my question: What would be the best algorith to avoid this bottleneck and ensure players don't get stuck endlessly on the same quizzes? Also bear in mind that I've got some technical constraints: I can't get a random question in a subject (ie: no "QuizzDB.findOne({subject: 'Maths'}).skip(random());"). It's cool to skip on one to twenty records, but the MongoDB documentation warns against skipping too many documents. I would like to avoid building an array of every quizz played by each player and find the next non-played in the database with a $nin. Thanks for your help

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• Is SugarCRM really adequate for custom development (or adequate at all)? [closed]

  - by dukeofgaming

  Have you used SugarCRM for custom development successfully?, if so, have you done it programmatically or through the Module Builder? Were you successful? If not, why? I used SugarCRM for a project about two years ago, I ran into errors from the very installation, having to hack the actual installation file to deploy the software in the server and other erros that I can't recall now. Two years after, I'm picking it up for a project once again. I'm feeling like I should have developed the whole thing from scratch myself. Some examples: I couldn't install it in the server (again). I had to install it locally, then copy the files and database over to the server and manually edit the config file. Constantly getting deployment errors from the module builder. One reason is SugarCRM keeps creating a record in the upgrade_history table for a file that does not exist, I keep deleting such record and it keeps coming back corrupt. I get other deployment errors, but have not figured them out. then I have to rollback all files and database to try again. I deleted a custom module with relationships, the relationships stayed in the other modules and cannot be deleted anymore, PHP warnings all over the place. Quick create for custom modules does not appear, hack needed. Its whole cache directory is a joke, permanent data/files are stored there. The module builder interface disappears required fields. Edit the wrong thing, module builder won't deploy again, then pray Quick Repair and/or Rebuild Relationships do the trick. My impression of SugarCRM now is that, regardless of its pretty exterior and apparent functionality, it is a very low quality piece of software. This even scared me more: http://amplicate.com/hate/sugarcrm; a quote: I wis this info had been available when I tried to implement it 2 years ago... I searched high and low and the only info I found was positive. Yes, it's a piece of crap. The community edition was full of bugs... nothing worked. Essentially I got fired for implementing it. I'm glad though, because now I work for myself, am much happier and make more money... so, I should really thank SugarCRM for sucking so much I guess! I figured that perhaps some of you have had similar experiences, and have either sticked with SugarCRM or moved on to another solution. I'm very interested in knowing what your resolutions were -or your current situations are- to make up my own mind, since the project I'm working on is long term and I'm feeling SugarCRM will be more an obstacle than an aid. After further failed attempts to continue using this software I continued to stumble upon dead-ends when using the module editor, I could only recover from this errors by using version control. We are now moving on to a custom implementation using Symfony; perhaps if we were using it with its out-of-the-box modules we would have sticked with it.

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• SQL SERVER – How to Roll Back SQL Server Database Changes

  - by Pinal Dave

  In a perfect scenario, no unexpected and unplanned changes occur. There are no unpleasant surprises, no inadvertent changes. However, even with all precautions and testing, there is sometimes a need to revert a structure or data change. One of the methods that can be used in this situation is to use an older database backup that has the records or database object structure you want to revert to. For this method, you have to have the adequate full database backup and a tool that will help you with comparison and synchronization is preferred. In this article, we will focus on another method: rolling back the changes. This can be done by using: An option in SQL Server Management Studio T-SQL, or ApexSQL Log The first two solutions have been described in this article The disadvantages of these methods are that you have to know when exactly the change you want to revert happened and that all transactions on the database executed in a specific time range are rolled back – the ones you want to undo and the ones you don’t. How to easily roll back SQL Server database changes using ApexSQL Log? The biggest challenge is to roll back just specific changes, not all changes that happened in a specific time range. While SQL Server Management Studio option and T-SQL read and roll forward all transactions in the transaction log files, I will show you a solution that finds and scripts only the specific changes that match your criteria. Therefore, you don’t need to worry about all other database changes that you don’t want to roll back. ApexSQL Log is a SQL Server disaster recovery tool that reads transaction logs and provides a wide range of filters that enable you to easily rollback only specific data changes. First, connect to the online database where you want to roll back the changes. Once you select the database, ApexSQL Log will show its recovery model. Note that changes can be rolled back even for a database in the Simple recovery model, when no database and transaction log backups are available. However, ApexSQL Log achieves best results when the database is in the Full recovery model and you have a chain of subsequent transaction log backups, back to the moment when the change occurred. In this example, we will use only the online transaction log. In the next step, use filters to read only the transactions that happened in a specific time range. To remove noise, it’s recommended to use as many filters as possible. Besides filtering by the time of the transaction, ApexSQL Log can filter by the operation type: Table name: As well as transaction state (committed, aborted, running, and unknown), name of the user who committed the change, specific field values, server process IDs, and transaction description. You can select only the tables affected by the changes you want to roll back. However, if you’re not certain which tables were affected, you can leave them all selected and once the results are shown in the main grid, analyze them to find the ones you to roll back. When you set the filters, you can select how to present the results. ApexSQL Log can automatically create undo or redo scripts, export the transactions into an XML, HTML, CSV, SQL, or SQL Bulk file, and create a batch file that you can use for unattended transaction log reading. In this example, I will open the results in the grid, as I want to analyze them before rolling back the transactions. The results contain information about the transaction, as well as who and when made it. For UPDATEs, ApexSQL Log shows both old and new values, so you can easily see what has happened. To create an UNDO script that rolls back the changes, select the transactions you want to roll back and click Create undo script in the menu. For the DELETE statement selected in the screenshot above, the undo script is: INSERT INTO [Sales].[PersonCreditCard] ([BusinessEntityID], [CreditCardID], [ModifiedDate]) VALUES (297, 8010, '20050901 00:00:00.000') When it comes to rolling back database changes, ApexSQL Log has a big advantage, as it rolls back only specific transactions, while leaving all other transactions that occurred at the same time range intact. That makes ApexSQL Log a good solution for rolling back inadvertent data and schema changes on your SQL Server databases. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: ApexSQL

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• PECL OCI8 2.0 Production Release Announcement

  - by cj

  The PHP OCI8 2.0.6 extension for Oracle Database is now "production" status. The source code is available on PECL. This can be used immediately to update your OCI8 extension in PHP 5.2 and later versions. The extension compiles with Oracle 10.2 or later client libraries. Oracle's standard cross-version database connectivity applies. OCI8 2.0 and PHP 5.5.5 RPMs for Oracle and Red Hat Linux are available from oss.oracle.com. Windows DLLs are available on PECL for PHP 5.3, PHP 5.4 and PHP 5.5. OCI8 2.0 source code will also be automatically included in the next major version of PHP. New Functionality Oracle Database 12c Implicit Result Set support. IRS's make it easy to pass query results back from stored PL/SQL procedures or anonymous PL/SQL blocks. Individual IRS statement resources, each corresponding to a single query, can be obtained with the new function oci_get_implicit_resultset(). These 'child' statement resources can be passed to any oci_fetch_* function. See Using PHP and Oracle Database 12c Implicit Result Sets and the PHP Manual: oci_get_implicit_resultset(). DTrace Dynamic Trace static probes. This well respected DTrace tracing framework is available on a number of platforms, including Oracle Linux. PHP OCI8 static user-space probes can be enabled with PHP's --enable-dtrace configuration option. See Using PHP DTrace on Oracle Linux. Documentation is also available in the PHP Manual OCI8 and DTrace Dynamic Tracing Improved Functionality Using oci_execute($s, OCI_NO_AUTO_COMMIT) for a SELECT no longer unnecessarily initiates an internal ROLLBACK during connection close. This can improve overall scalability by reducing "round trips" between PHP and the database. Changed Functionality PHP OCI8 2.0's minimum pre-requisites are now PHP 5.2 and Oracle client library 10.2. Later versions of both are usable and, in fact, recommended. Use the older PHP OCI8 1.4.10 extension when using PHP 4.3.9 through to PHP 5.1.x, or when only Oracle Database 9.2 client libraries are available. oci_set_*($connection, ...) meta data setting call error handling is fixed so that oci_error($connection) works for these calls. Note: The old, deprecated function aliases like ocilogon still exist but are not recommended for new applications. Phpinfo() Changes Some cosmetic changes were made to the output of php --ri oci8 and the phpinfo() function. The oci8.event and oci8.connection_class values are now shown only when the Oracle client libraries support the respective functionality. Connection statistics are now in a separate phpinfo() table. Temporary LOB and Collection support status lines in phpinfo() output were removed. These two features have always been enabled since 2007. Oci_internal_debug() Changes The oci_internal_debug() function is now a no-op. Use PHP's --enable-dtrace functionality with DTrace or SystemTap instead. References OCI8 Extension source code and Windows DLLs http://pecl.php.net/package/oci8 Oracle Linux RPMs oss.oracle.com PHP Manual for OCI8 OCI8 and DTrace Dynamic Tracing Oracle OpenWorld Conference paper What's New in Oracle Database 12c for PHP

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• Is there a theory for "transactional" sequences of failing and no-fail actions?

  - by Ross Bencina

  My question is about writing transaction-like functions that execute sequences of actions, some of which may fail. It is related to the general C++ principle "destructors can't throw," no-fail property, and maybe also with multi-phase transactions or exception safety. However, I'm thinking about it in language-neutral terms. My concern is with correctly designing error handling in C++ functions that must be reliable. I would like to know what the concepts below are called so that I can learn more about them. I'm sorry that I can't ask the question more directly. Since I don't know this area I have provided an example to explain my question. The question is at the end. Here goes: Consider a sequence of steps or actions executed sequentially, where actions belong to one of two classes: those that always succeed, and those that may fail. In the examples below: S stands for an action that always succeeds (called "no-fail" in some settings). F stands for an action that may fail (for example, it might fail to allocate memory or do I/O that could fail). Consider a sequences of actions (executed sequentially from left to right): S->S->S->S Since each action in the sequence above succeeds, the whole sequence succeeds. On the other hand, the following sequence may fail because the last action may fail: S->S->S->F So, claim: a sequence has the no-fail (S) property if and only if all of its actions are no-fail. Now, I'm interested in action sequences that form "atomic transactions", with "failure atomicity," i.e. where either the whole sequence completes successfully, or there is no effect. I.e. if some action fails, the earlier ones must be rolled back. This requires that any successfully executed actions prior to a failing action must always be able to be rolled back. Consider the sequence: S->S->S->F S<-S<-S In the example above, the first row is the forward path of the transaction, and the second row are inverse actions (executed from right to left) that can be used to roll back if the final top row actions fails. It seems to me that for a transaction to support failure atomicity, the following invariant must hold: Claim: To support failure atomicity (either completion or complete roll-back on failure) all actions preceding the latest failable (F) action on the forward path (marked * in the example below) must have no-fail (S) inverses. The following is an example of a sequence that supports failure atomicity: * S->F->F->F S<-S<-S Further, if we want the transaction to be able to attempt cancellation mid-way through, but still guarantee either full completion or full rollback then we need the following property: Claim: To support failure atomicity and cancellation mid-way through execution, in the face of errors in the inverse (cancellation) path, all actions following the earliest failable (F) inverse on the reverse path (marked *) must be no-fail (S). F->F->F->S->S S<-S<-F<-F * I believe that these two conditions guarantee that an abortable/cancelable transaction will never get "stuck". My questions are: What is the study and theory of these properties called? are my claims correct? and what else is there to know? UPDATE 1: Updated terminology: what I previously called "robustness" is called atomicity in the database literature. UPDATE 2: Added explicit reference to failure atomicity, which seems to be a thing.

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• MySQL Connector/Net 6.6.2 has been released

  - by fernando

  MySQL Connector/Net 6.6.2, a new version of the all-managed .NET driver for MySQL has been released.  This is the first of two beta releases intended to introduce users to the new features in the release.  This release is feature complete it should be stable enough for users to understand the new features and how we expect them to work.  As is the case with all non-GA releases, it should not be used in any production environment.  It is appropriate for use with MySQL server versions 5.0-5.6 It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.6 version of MySQL Connector/Net brings the following new features:   * Stored routine debugging   * Entity Framework 4.3 Code First support   * Pluggable authentication (now third parties can plug new authentications mechanisms into the driver).   * Full Visual Studio 2012 support: everything from Server Explorer to Intellisense & the Stored Routine debugger. Stored Procedure Debugging ------------------------------------------- We are very excited to introduce stored procedure debugging into our Visual Studio integration.  It works in a very intuitive manner by simply clicking 'Debug Routine' from Server Explorer. You can debug stored routines, functions & triggers. Some of the new features in this release include:   * Besides normal breakpoints, you can define conditional & pass count breakpoints.   * Now the debugger editor shows colorizing.   * Now you can change the values of locals in a function scope (previously caused deadlock due to functions executing within their own transaction).   * Now you can also debug triggers for 'replace' sql statements.   * In general anything related to locals, watches, breakpoints, stepping & call stack should work in a similar way to the C#'s Visual Studio debugger. Some limitations remains, due to the current debugger architecture:   * Some MySQL functions cannot be debugged currently (get_lock, release_lock, begin, commit, rollback, set transaction level)..   * Only one debug session may be active on a given server. The Debugger is feature complete at this point. We look forward to your feedback. Documentation ------------------------------------- The documentation is still being developed and will be readily available soon (before Beta 2).  You can view current Connector/Net documentation at http://dev.mysql.com/doc/refman/5.5/en/connector-net.html You can find our team blog at http://blogs.oracle.com/MySQLOnWindows. You can also post questions on our forums at http://forums.mysql.com/. Enjoy and thanks for the support! 

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• Add/ End Date Responsibility For Oracle FND User

  - by PRajkumar

  API - fnd_user_pkg.addresp Example -- -- ------------------------------------------------------------------------- -- Add/ End Date Responsibility to Oracle FND User -- ------------------------------------------------------------------------- DECLARE     lc_user_name                        VARCHAR2(100)    := 'PRAJ_TEST';     lc_resp_appl_short_name   VARCHAR2(100)    := 'FND';     lc_responsibility_key          VARCHAR2(100)    := 'APPLICATION_DEVELOPER';     lc_security_group_key        VARCHAR2(100)    := 'STANDARD';     ld_resp_start_date                DATE                        := TO_DATE('25-JUN-2012');     ld_resp_end_date                 DATE                        := NULL; BEGIN      fnd_user_pkg.addresp      (   username           => lc_user_name,         resp_app             => lc_resp_appl_short_name,         resp_key             => lc_responsibility_key,         security_group  => lc_security_group_key,         description         => NULL,         start_date           => ld_resp_start_date,         end_date            => ld_resp_end_date     );  COMMIT; EXCEPTION             WHEN OTHERS THEN                         ROLLBACK;                         DBMS_OUTPUT.PUT_LINE(SQLERRM); END; / SHOW ERR;  

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• innobackupex - after restoring - quit without updating PID file

  - by clarkk

  After restoring a backup the server can't start.. restoring # tar -izxf /var/www/bak/db/2013-11-10-1437_mysql.tar.gz -C /var/www/bak/db_import # innobackupex --use-memory=1G --apply-log /var/www/bak/db_import # service mysql stop # mv /var/lib/mysql /var/lib/mysql-old # mkdir /var/lib/mysql # innobackupex --copy-back /var/www/bak/db_import # chown -R mysql:mysql /var/lib/mysql # service mysql start error log 131110 21:24:20 mysqld_safe Starting mysqld daemon with databases from /var/lib/mysql 2013-11-10 21:24:21 0 [Warning] TIMESTAMP with implicit DEFAULT value is deprecated. Please use --explicit_defaults_for_timestamp server option (see documentation for more details). 2013-11-10 21:24:21 6194 [Warning] Using pre 5.5 semantics to load error messages from /opt/mysql/server-5.6/share/english/. 2013-11-10 21:24:21 6194 [Warning] If this is not intended, refer to the documentation for valid usage of --lc-messages-dir and --language parameters. 2013-11-10 21:24:21 6194 [Note] Plugin 'FEDERATED' is disabled. /usr/local/mysql/bin/mysqld: Table 'mysql.plugin' doesn't exist 2013-11-10 21:24:21 6194 [ERROR] Can't open the mysql.plugin table. Please run mysql_upgrade to create it. 2013-11-10 21:24:21 6194 [Note] InnoDB: The InnoDB memory heap is disabled 2013-11-10 21:24:21 6194 [Note] InnoDB: Mutexes and rw_locks use GCC atomic builtins 2013-11-10 21:24:21 6194 [Note] InnoDB: Compressed tables use zlib 1.2.3 2013-11-10 21:24:21 6194 [Note] InnoDB: Using Linux native AIO 2013-11-10 21:24:21 6194 [Note] InnoDB: Not using CPU crc32 instructions 2013-11-10 21:24:21 6194 [Note] InnoDB: Initializing buffer pool, size = 128.0M 2013-11-10 21:24:21 6194 [Note] InnoDB: Completed initialization of buffer pool 2013-11-10 21:24:21 6194 [Note] InnoDB: Highest supported file format is Barracuda. 2013-11-10 21:24:22 6194 [Note] InnoDB: 128 rollback segment(s) are active. 2013-11-10 21:24:22 6194 [Note] InnoDB: Waiting for purge to start 2013-11-10 21:24:22 6194 [Note] InnoDB: 5.6.12 started; log sequence number 636992658 2013-11-10 21:24:22 6194 [Note] Server hostname (bind-address): '127.0.0.1'; port: 3306 2013-11-10 21:24:22 6194 [Note] - '127.0.0.1' resolves to '127.0.0.1'; 2013-11-10 21:24:22 6194 [Note] Server socket created on IP: '127.0.0.1'. 2013-11-10 21:24:22 6194 [ERROR] Fatal error: Can't open and lock privilege tables: Table 'mysql.user' doesn't exist 131110 21:24:22 mysqld_safe mysqld from pid file /var/run/mysqld/mysqld.pid ended mysql_upgrade /opt/mysql/server-5.6/bin/mysql_upgrade -u root -pxxxxx -P 3308 Warning: Using a password on the command line interface can be insecure. Looking for 'mysql' as: /opt/mysql/server-5.6/bin/mysql Looking for 'mysqlcheck' as: /opt/mysql/server-5.6/bin/mysqlcheck FATAL ERROR: Upgrade failed

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• Setting up a home server - what to use? (ZFS vs btrfs, BSD vs Linux, misc other requirements)

  - by monch1962

  I need to get all our home content off individual machines and onto a central server. What I'd like to have is the metaphorical "server under the stairs". Stuff we need: expandable storage. I want to be able to add extra disc as we go along, with minimal maintenance required. Currently we've got about 3Tb of files we need to host, and that's likely to grow by another Tb every 6-12 months based on recent history. I need to be able to add additional disc with minimal pain needs to store all the media (i.e. photos, video, music) we have, and run services to serve the various devices we have in the house to playback (e.g. DAAP so we can play stuff through iTunes, ccxstream so we can play stuff over XBMC). DAAP and ccxstream are needed now, but we also need to support new standards as they emerge (so a closed-box solution isn't going to work) RAID 5, or something broadly equivalent (e.g. RAID-Z) BitTorrent client ssh, NFS, Samba access snapshot capability (as in ZFS), so we can snapshot individual file systems regularly and rollback when my kids delete their school assignments the day before they're due... ability to recover quickly from power outages (it's not unusual for us to have power outages that last longer than our UPS' batteries) FOSS software a modern distributed version control system running on the box, such as Mercurial Stuff I'd like to have on the server, but can live without: PVR capability, so I could record TV to the box Web server. We currently run a small Web server on a very old box, and I'd ideally like to turn the old box off and move the content to the new server just to save some electricity Nagios + mrtg I've been looking at using a EEE Box as the server, primarily because I can get them cheap and they don't consume much power. The choice of OS and file system is more difficult, from what I've found: I've got most experience with various Linux distros, but am happy to use another Unix FreeBSD and OpenSolaris seem to be the best choices for hosting ZFS OpenSolaris' hardware support is nowhere near as good as e.g. Ubuntu btrfs, while looking very good, doesn't seem ready for prime-time yet ZFS doesn't let you (easily?) add new discs to a RAID5 or RAID-Z reading around, it seems that ZFS is a bit short of tools for recovering lost data At the moment, I'm leaning towards running FreeNAS+ZFS, but I'm concerned about the requirement to be able to add new disc on a fairly regular basis to an existing RAID-Z. Can anyone provide some recommendations, or share experiences? Thanks in advance

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• Setting up a home server - what to use? (ZFS vs btrfs, BSD vs Linux, misc other requirements)

  - by monch1962

  I need to get all our home content off individual machines and onto a central server. What I'd like to have is the metaphorical "server under the stairs". Stuff we need: expandable storage. I want to be able to add extra disc as we go along, with minimal maintenance required. Currently we've got about 3Tb of files we need to host, and that's likely to grow by another Tb every 6-12 months based on recent history. I need to be able to add additional disc with minimal pain needs to store all the media (i.e. photos, video, music) we have, and run services to serve the various devices we have in the house to playback (e.g. DAAP so we can play stuff through iTunes, ccxstream so we can play stuff over XBMC). DAAP and ccxstream are needed now, but we also need to support new standards as they emerge (so a closed-box solution isn't going to work) RAID 5, or something broadly equivalent (e.g. RAID-Z) BitTorrent client ssh, NFS, Samba access snapshot capability (as in ZFS), so we can snapshot individual file systems regularly and rollback when my kids delete their school assignments the day before they're due... ability to recover quickly from power outages (it's not unusual for us to have power outages that last longer than our UPS' batteries) FOSS software a modern distributed version control system running on the box, such as Mercurial Stuff I'd like to have on the server, but can live without: PVR capability, so I could record TV to the box Web server. We currently run a small Web server on a very old box, and I'd ideally like to turn the old box off and move the content to the new server just to save some electricity Nagios + mrtg I've been looking at using a EEE Box as the server, primarily because I can get them cheap and they don't consume much power. The choice of OS and file system is more difficult, from what I've found: I've got most experience with various Linux distros, but am happy to use another Unix FreeBSD and OpenSolaris seem to be the best choices for hosting ZFS OpenSolaris' hardware support is nowhere near as good as e.g. Ubuntu btrfs, while looking very good, doesn't seem ready for prime-time yet ZFS doesn't let you (easily?) add new discs to a RAID5 or RAID-Z reading around, it seems that ZFS is a bit short of tools for recovering lost data At the moment, I'm leaning towards running FreeNAS+ZFS, but I'm concerned about the requirement to be able to add new disc on a fairly regular basis to an existing RAID-Z. Can anyone provide some recommendations, or share experiences? Thanks in advance

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• Setting up a home server - what to use? (ZFS vs btrfs, BSD vs Linux, misc other requirements)

  - by monch1962

  I need to get all our home content off individual machines and onto a central server. What I'd like to have is the metaphorical "server under the stairs". Stuff we need: expandable storage. I want to be able to add extra disc as we go along, with minimal maintenance required. Currently we've got about 3Tb of files we need to host, and that's likely to grow by another Tb every 6-12 months based on recent history. I need to be able to add additional disc with minimal pain needs to store all the media (i.e. photos, video, music) we have, and run services to serve the various devices we have in the house to playback (e.g. DAAP so we can play stuff through iTunes, ccxstream so we can play stuff over XBMC). DAAP and ccxstream are needed now, but we also need to support new standards as they emerge (so a closed-box solution isn't going to work) RAID 5, or something broadly equivalent (e.g. RAID-Z) BitTorrent client ssh, NFS, Samba access snapshot capability (as in ZFS), so we can snapshot individual file systems regularly and rollback when my kids delete their school assignments the day before they're due... ability to recover quickly from power outages (it's not unusual for us to have power outages that last longer than our UPS' batteries) FOSS software a modern distributed version control system running on the box, such as Mercurial Stuff I'd like to have on the server, but can live without: PVR capability, so I could record TV to the box Web server. We currently run a small Web server on a very old box, and I'd ideally like to turn the old box off and move the content to the new server just to save some electricity Nagios + mrtg I've been looking at using a EEE Box as the server, primarily because I can get them cheap and they don't consume much power. The choice of OS and file system is more difficult, from what I've found: I've got most experience with various Linux distros, but am happy to use another Unix FreeBSD and OpenSolaris seem to be the best choices for hosting ZFS OpenSolaris' hardware support is nowhere near as good as e.g. Ubuntu btrfs, while looking very good, doesn't seem ready for prime-time yet ZFS doesn't let you (easily?) add new discs to a RAID5 or RAID-Z reading around, it seems that ZFS is a bit short of tools for recovering lost data At the moment, I'm leaning towards running FreeNAS+ZFS, but I'm concerned about the requirement to be able to add new disc on a fairly regular basis to an existing RAID-Z. Can anyone provide some recommendations, or share experiences? Thanks in advance

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• Oracle HRMS API – Create or Update Employee Salary

  - by PRajkumar

  API --  hr_maintain_proposal_api.cre_or_upd_salary_proposal   Note - Salary Basis is required to be assigned to employee assignment before to run Salary Proposal API Example --   DECLARE     lb_inv_next_sal_date_warning      BOOLEAN;     lb_proposed_salary_warning         BOOLEAN;     lb_approved_warning                       BOOLEAN;     lb_payroll_warning                            BOOLEAN;     ln_pay_proposal_id                           NUMBER;     ln_object_version_number                NUMBER; BEGIN    -- Create or Upadte Employee Salary Proposal    -- ----------------------------------------------------------------     hr_maintain_proposal_api.cre_or_upd_salary_proposal     (    -- Input data elements          -- ------------------------------          p_business_group_id                   => fnd_profile.value('PER_BUSINESS_GROUP_ID'),          p_assignment_id                            => 33561,          p_change_date                                => TO_DATE('13-JUN-2011'),          p_proposed_salary_n                   => 1000,          p_approved                                      => 'Y',          -- Output data elements          -- --------------------------------          p_pay_proposal_id                       => ln_pay_proposal_id,          p_object_version_number           => ln_object_version_number,            p_inv_next_sal_date_warning  => lb_inv_next_sal_date_warning,          p_proposed_salary_warning     => lb_proposed_salary_warning,          p_approved_warning                   => lb_approved_warning,          p_payroll_warning                        => lb_payroll_warning     );    COMMIT; EXCEPTION        WHEN OTHERS THEN                           ROLLBACK;                           dbms_output.put_line(SQLERRM); END; / SHOW ERR;  

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• Adopting DBVCS

  - by Wes McClure

  Identify early adopters Pick a small project with a small(ish) team.  This can be a legacy application or a green-field application. Strive to find a team of early adopters that will be eager to try something new. Get the team on board! Research Research the tool(s) that you want to use.  Some tools provide all of the features you would need while some only provide a slice of the pie.  DBVCS requires the ability to manage a set of change scripts that update a database from one version to the next.  Ideally a tool can track database versions and automatically apply updates.  The change script generation process can be manual, but having diff tools available to automatically generate it can really reduce the overhead to adoption.  Finally, an automated tool to generate a script file per database object is an added bonus as your version control system can quickly identify what was changed in a commit (add/del/modify), just like with code changes. Don’t settle on just one tool, identify several.  Then work with the team to evaluate the tools.  Have the team do some tests of the following scenarios with each tool: Baseline an existing database: can the migration tool work with legacy databases?  Caution: most migration platforms do not support baselines or have poor support, especially the fad of fluent APIs. Add/drop tables Add/drop procedures/functions/views Alter tables (rename columns, add columns, remove columns) Massage data – migrations sometimes involve changing data types that cannot be implicitly casted and require you to decide how the data is explicitly cast to the new type.  This is a requirement for a migrations platform.  Think about a case where you might want to combine fields, or move a field from one table to another, you wouldn’t want to lose the data. Run the tool via the command line.  If you cannot automate the tool in Continuous Integration what is the point? Create a copy of a database on demand. Backup/restore databases locally. Let the team give feedback and decide together, what tool they would like to try out. My recommendation at this point would be to include TSqlMigrations and RoundHouse as SQL based migration platforms.  In general I would recommend staying away from the fluent platforms as they often lack baseline capabilities and add overhead to learn a new API when SQL is already a very well known DSL.  Code migrations often get messy with procedures/views/functions as these have to be created with SQL and aren’t cross platform anyways.  IMO stick to SQL based migrations. Reconciling Production If your project is a legacy application, you will need to reconcile the current state of production with your development databases.  Find changes in production and bring them down to development, even if they are old and need to be removed.  Once complete, produce a baseline of either dev or prod as they are now in sync.  Commit this to your VCS of choice. Add whatever schema changes tracking mechanism your tool requires to your development database.  This often requires adding a table to track the schema version of that database.  Your tool should support doing this for you.  You can add this table to production when you do your next release. Script out any changes currently in dev.  Remove production artifacts that you brought down during reconciliation.  Add change scripts for any outstanding changes in dev since the last production release.  Commit these to your repository.   Say No to Shared Dev DBs Simply put, you wouldn’t dream of sharing a code checkout, why would you share a development database?  If you have a shared dev database, back it up, distribute the backups and take the shared version offline (including the dev db server once all projects are using DB VCS).  Doing DB VCS with a shared database is bound to cause problems as people won’t be able to easily script out their own changes from those that others are working on.   First prod release Copy prod to your beta/testing environment.  Add the schema changes table (or mechanism) and do a test run of your changes.  If successful you can schedule this to be run on production.   Evaluation After your first release, evaluate the pain points of the process.  Try to find tools or modifications to existing tools to help fix them.  Don’t leave stones unturned, iteratively evolve your tools and practices to make the process as seamless as possible.  This is why I suggest open source alternatives.  Nothing is set in stone, a good example was adding transactional support to TSqlMigrations.  We ran into situations where an update would break a database, so I added a feature to do transactional updates and rollback on errors!  Another good example is generating change scripts.  We have been manually making these for months now.  I found an open source project called Open DB Diff and integrated this with TSqlMigrations.  These were things we just accepted at the time when we began adopting our tool set.  Once we became comfortable with the base functionality, it was time to start automating more of the process.  Just like anything else with development, never be afraid to try to find tools to make your job easier!   Enjoy -Wes

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• Troubleshooting Application Timeouts in SQL Server

  - by Tara Kizer

  I recently received the following email from a blog reader: "We are having an OLTP database instance, using SQL Server 2005 with little to moderate traffic (10-20 requests/min). There are also bulk imports that occur at regular intervals in this DB and the import duration ranges between 10secs to 1 min, depending on the data size. Intermittently (2-3 times in a week), we face an issue, where queries get timed out (default of 30 secs set in application). On analyzing, we found two stored procedures, having queries with multiple table joins inside them of taking a long time (5-10 mins) in getting executed, when ideally the execution duration ranges between 5-10 secs. Execution plan of the same displayed Clustered Index Scan happening instead of Clustered Index Seek. All required Indexes are found to be present and Index fragmentation is also minimal as we Rebuild Indexes regularly alongwith Updating Statistics. With no other alternate options occuring to us, we restarted SQL server and thereafter the performance was back on track. But sometimes it was still giving timeout errors for some hits and so we also restarted IIS and that stopped the problem as of now." Rather than respond directly to the blog reader, I thought it would be more interesting to share my thoughts on this issue in a blog. There are a few things that I can think of that could cause abnormal timeouts: Blocking Bad plan in cache Outdated statistics Hardware bottleneck To determine if blocking is the issue, we can easily run sp_who/sp_who2 or a query directly on sysprocesses (select * from master..sysprocesses where blocking <> 0).  If blocking is present and consistent, then you'll need to determine whether or not to kill the parent blocking process.  Killing a process will cause the transaction to rollback, so you need to proceed with caution.  Killing the parent blocking process is only a temporary solution, so you'll need to do more thorough analysis to figure out why the blocking was present.  You should look into missing indexes and perhaps consider changing the database's isolation level to READ_COMMITTED_SNAPSHOT. The blog reader mentions that the execution plan shows a clustered index scan when a clustered index seek is normal for the stored procedure.  A clustered index scan might have been chosen either because that is what is in cache already or because of out of date statistics.  The blog reader mentions that bulk imports occur at regular intervals, so outdated statistics is definitely something that could cause this issue.  The blog reader may need to update statistics after imports are done if the imports are changing a lot of data (greater than 10%).  If the statistics are good, then the query optimizer might have chosen to scan rather than seek in a previous execution because the scan was determined to be less costly due to the value of an input parameter.  If this parameter value is rare, then its execution plan in cache is what we call a bad plan.  You want the best plan in cache for the most frequent parameter values.  If a bad plan is a recurring problem on your system, then you should consider rewriting the stored procedure.  You might want to break up the code into multiple stored procedures so that each can have a different execution plan in cache. To remove a bad plan from cache, you can recompile the stored procedure.  An alternative method is to run DBCC FREEPROCACHE which drops the procedure cache.  It is better to recompile stored procedures rather than dropping the procedure cache as dropping the procedure cache affects all plans in cache rather than just the ones that were bad, so there will be a temporary performance penalty until the plans are loaded into cache again. To determine if there is a hardware bottleneck occurring such as slow I/O or high CPU utilization, you will need to run Performance Monitor on the database server.  Hopefully you already have a baseline of the server so you know what is normal and what is not.  Be on the lookout for I/O requests taking longer than 12 milliseconds and CPU utilization over 90%.  The servers that I support typically are under 30% CPU utilization, but your baseline could be higher and be within a normal range. If restarting the SQL Server service fixes the problem, then the problem was most likely due to blocking or a bad plan in the procedure cache.  Rather than restarting the SQL Server service, which causes downtime, the blog reader should instead analyze the above mentioned things.  Proceed with caution when restarting the SQL Server service as all transactions that have not completed will be rolled back at startup.  This crash recovery process could take longer than normal if there was a long-running transaction running when the service was stopped.  Until the crash recovery process is completed on the database, it is unavailable to your applications. If restarting IIS fixes the problem, then the problem might not have been inside SQL Server.  Prior to taking this step, you should do analysis of the above mentioned things. If you can think of other reasons why the blog reader is facing this issue a few times a week, I'd love to hear your thoughts via a blog comment.

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• top tweets WebLogic Partner Community – March 2012

  - by JuergenKress

  Send us your tweets @wlscommunity #WebLogicCommunity and follow us on twitter http://twitter.com/wlscommunity PeterPaul ? RT @JDeveloper: EJB 3 Deployment guide for WebLogic Server Version: 10.3.4.0 dlvr.it/1J5VcV Andrejus Baranovskis ?Open ADF PopUp on Page Load fb.me/1Rx9LP3oW Sten Vesterli ? RT @OracleBlogs: Using the Oracle E-Business Suite SDK for Java on ADF Applications ow.ly/1hVKbB <- Neat! No more WS calls Java Buddy ?JavaFX 2.0: Example of MediaPlay java-buddy.blogspot.com/2012/03/javafx… Georges Saab Build improvements coming to #openJDK for #jdk8 mail.openjdk.java.net/pipermail/buil… NetBeans Team Share your #Java experience! JavaOne 2012 India call for papers: ow.ly/9xYg0 GlassFish ? GlassFish 3.1.2 Screencasts & Videos – bit.ly/zmQjn2 chriscmuir ?G+: New blog post: ADF Runtimes vs WLS versions as of JDeveloper 11.1.1.6.0 – bit.ly/y8tkgJ Michael Heinrichs New article: Creating a Sprite Animation with JavaFX blog.netopyr.com/2012/03/09/cre… Oracle WebLogic ? #WebLogic Devcast Webinar Series for March: Enterprise Java Scale Out, JPA, Distributed Grid Data Cache bit.ly/zeUXEV #Coherence Andrejus Baranovskis ?Extending Application Module for ADF BC Proxy User DB Connection fb.me/Bj1hLUqm OTNArchBeat ? Oracle Fusion Middleware on JDK 7 | Mark Nelson bit.ly/w7IroZ OTNArchBeat ? Java Champion Jonas Bonér Explains the Akka Platform bit.ly/x2GbXm Adam Bien ? (Java) FX Experience Tools–Feels Like Native Mac App: FX Experience Tools application comes with a native Mac O… bit.ly/waHF3H GlassFish ? GlassFish new recruit and Eclipse integration progress – bit.ly/y5eEkk JDeveloper & ADF Prototyping ADF Libraries dlvr.it/1Hhnw0 Eric Elzinga ?Oracle Fusion Middleware on JDK 7, bit.ly/xkphFQ ADF EMG ? Working with ADF in Arabic, Hebrew or other right-to-left-written language? Oracle UX asks for your help. groups.google.com/forum/?fromgro… Java ? A simple #JavaFX Login Form with a TRON like effect ow.ly/9n9AG JDeveloper & ADF ? Logging in Oracle ADF Applications dlvr.it/1HZhcX OTNArchBeat ? Oracle Cloud Conference: dates and locations worldwide bit.ly/ywXydR UK Oracle User Group ? Simon Haslam, ACE Director present on #WebLogic for DBAs at #oug_ire2012 j.mp/zG6vz3 @oraclewebcenter @oracleace #dublin Steven Davelaar ? Working with ADF and not a member of ADF EMG? You miss lots of valuable info, join now! sites.google.com/site/oracleemg… Simon Haslam @MaciejGruszka: Oracle plans to provide Forms & Reports plug-in for OVAB next year to help deployment. #ukoug MW SIG GlassFish ? Introducing JSR 357: Social Media API – bit.ly/yC8vez JAX London ? Are you coming to Java EE workshops by @AdamBien at JAX Days? Save £100 by registering today. #jaxdays #javaee jaxdays.com WebLogic Community ?Welcome to our Munich WebLogic 12c Bootcamp in Munich! If you also want to attend a training register for the Community oracle.com/partners/goto/… chriscmuir ? My first webcast for Oracle! (be kind) Basing ADF Business Component View Objects on More that one Entity Object bit.ly/ArKija OTNArchBeat ? Oracle Weblogic Server 12c is available on Oracle Solaris 11 (SPARC and x86) bit.ly/xE3TLg JDeveloper & ADF ? Basing ADF Business Component View Objects on More that one Entity Object – YouTube dlvr.it/1H93Qr OTNArchBeat ? Application-Driven Virtualization with Oracle Virtual Assembly Builder | Ronen Kofman bit.ly/wF1C1N Oracle WebLogic ? Steve Button’s blog: WebLogic Server Singleton Services ow.ly/1hOu4U Barbara Ann May ?@oracledevtools: New update: #NetBeans IDE 7.1.1, with support for #GlassFish 3.1.2 bit.ly/mOLcQd #java #developer OTNArchBeat ? Using Coherence with JDeveloper: bit.ly/AkoEQb WebLogic Community ? WebLogic Partner Community Newsletter February 2012 wp.me/p1LMIb-f3 GlassFish ? GlassFish 3.1.2 – new Podcast episode : bit.ly/wc6oBE Frank Nimphius ?Cool! Open JDeveloper 11.1.1.5, go help–>check for updates. First thing shown is that 11.1.1.6 is available. Never miss a new release Adam Bien ?5 Minutes (Video) With Java EE …Or With NetBeans + GlassFish: This screencast covers a 5-minute development of a… bit.ly/xkOJMf WebLogic Community ? Free Oracle WebLogic Certification Application Grid Implementation Specialist wp.me/p1LMIb-eT OTNArchBeat ?Oracle Coherence: First Steps Using Clusters and Basic API Usage | Ricardo Ferreira bit.ly/yYQ3Wz GlassFish ? JMS 2.0 Early Draft is here – bit.ly/ygT1VN OTNArchBeat ? Exalogic Networking Part 2 | The Old Toxophilist bit.ly/xuYMIi OTNArchBeat ?New Release: GlassFish Server 3.1.2. Read All About It! | Paul Davies bit.ly/AtlGxo Oracle WebLogic ?OTN Virtual Developer Day: #WebLogic 12c & #Coherence ost-conference on-demand page live with bonus #Virtualbox lab – bit.ly/xUy6BJ Oracle WebLogic ? Steve Button’s blog: WebLogic Server 11g (10.3.6) Documentation ow.ly/1hJgUB Lucas Jellema ? Just published an article on the AMIS blog: technology.amis.nl/2012/03/adf-11… ADF 11g – programmatically sorting rich table columns. Java Certification ? New Course! Learn how to create mobile applications using Java ME: bit.ly/xZj1Jh Simon Haslam ? @MaciejGruszka WebLogic 12c can run against 11g domain config without changes …and can rollback to 11. #ukoug MW SIG Justin Kestelyn ? Learn Advanced ADF, free and online bit.ly/wEKSRc WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: twitter,WebLogic,WebLogic Community,OPN,Oracle,Jürgen Kress,WebLogic 12c

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• Oracle Delivers Latest Release of Oracle Enterprise Manager 12c

  - by Scott McNeil

  Richer Service Catalog for Database and Middleware as a Service; Enhanced Database and Middleware Management Help Drive Enterprise-Scale Private Cloud Adoption News Summary IT organizations are adopting private clouds as a stepping-stone to business-driven, self-service IT. Successful implementations hinge on the ability to efficiently deploy and manage cloud services at enterprise scale. Having a complete cloud management solution integrated with an enterprise-class technology stack is a fundamental requirement for IT. Oracle Enterprise Manager 12c Release 4 meets that requirement by helping businesses become more agile and responsive, while reducing cost, complexity, and risk. News Facts Oracle Enterprise Manager 12c Release 4, available today, lets organizations rapidly adopt Oracle-based, enterprise-scale private clouds. New capabilities provide advanced technology stack management, secure database administration, and enterprise service governance, enabling Oracle customers and partners to maximize database and application performance and drive innovation using self-service IT platforms. The enhancements have been driven by customers and the growing Oracle Enterprise Manager Ecosystem, comprised of more than 750 Oracle PartnerNetwork (OPN) Specialized partners. Oracle and its partners and customers have built over 140 plug-ins and connectors for Oracle Enterprise Manager. Watch the video highlights. Automation for Broader Cloud Services Oracle Enterprise Manager 12c Release 4 allows for a rapid enterprise-wide adoption of database, middleware and infrastructure services in the private cloud, driven by an enhanced API-enabled service catalog. The release features “push button” style provisioning of complete environments such as SOA and Oracle Active Data Guard, and fast data cloning that enables rapid deployment and testing of enterprise applications. Out-of-the-box capabilities to detect data and configuration vulnerabilities provide enhanced cloud service governance along with greater operational control through a flexible and extensible showback mechanism. Enhanced Database Management A new performance warehouse enables predictive database diagnostics and trend analysis and helps identify database problems before they occur. New enterprise data-governance capabilities enhance security by helping systematically discover and protect sensitive data. Step-by-step orchestration of upgrades with the ability to rollback changes enables faster adoption of Oracle Database 12c. Expanded Fusion Middleware Management A new consolidated view of Oracle Fusion Middleware 12c deployments with a guided management capability lets administrators apply best management practices to diverse middleware environments and identify performance issues quickly. A Java VM Diagnostics as a Service feature allows governed access to diagnostics data for IT workers across multiple disciplines for accelerated DevOps resolutions of defects and performance optimization. New automated provisioning for SOA lets middleware administrators perform mass SOA provisioning with ease. Superior Enterprise-Grade Management Private roles and preferred credentials have been added to Oracle Enterprise Manager to provide additional fine-grained security for organizations with complex access control requirements. A new security console provides a single point of control for managing the security of Oracle Enterprise Manager environments. Support for the latest industry standard SNMP v3 protocol, including encryption, enables more secure heterogeneous management. “Smart monitoring” adapts to observed environmental changes and adds self-management capabilities to help Oracle Enterprise Manager run at peak performance, while demanding less IT supervision. Supporting Quotes “Lawrence Livermore National Laboratory has a strong tradition of technology breakthroughs and leadership. As a member of Oracle’s Customer Advisory Board for Oracle Enterprise Manager, we have consistently provided feedback and guidance in the areas of enterprise-scale cloud, self-diagnosability, and secure administration for the product,” said Tim Frazier, CIO, NIF and Photon Sciences, Lawrence Livermore National Laboratory. “We intend to take advantage of the Release 4 features that support enterprise-scale availability and fine-grained security capabilities for private cloud deployments.” “IDC's most recent CloudTrack survey shows that most enterprises plan to adopt hybrid cloud architectures over the next three years,” said Mary Johnston Turner, Research Vice President, Enterprise System Management Software, IDC. “These organizations plan to deploy a wide range of workloads into cloud environments including mission critical database and middleware services that require high levels of fault tolerance and disaster recovery. Such capabilities were traditionally custom configured for each application but cloud offers the possibility to incorporate such properties within the service definition, enabling organizations to adopt cloud without compromise. With the latest release of Oracle Enterprise Manager 12c, Oracle is providing customers with an out-of-the-box experience for delivering highly-resilient cloud services for databases and applications.” “Since its inception, Oracle has been leading the way in innovative, scalable and high performance solutions for the enterprise. With this release of Oracle Enterprise Manager, we are extending this leadership by providing enterprise-scale capabilities for planning, delivering, and managing private clouds. We call this ‘zero-to-cloud – accelerated.’ These enhancements help our customers to expedite their adoption of cloud computing and prepares them for the next generation of self-service IT,” said Prakash Ramamurthy, senior vice president of Systems and Cloud Management at Oracle. Supporting Resources Oracle Enterprise Manager 12c Video: Cerner Delivers High Performance Private Cloud Video: BIAS Achieves Outstanding Results with Private Cloud Press Release Stay Connected: Twitter | Facebook | YouTube | Linkedin | Newsletter Download the Oracle Enterprise Manager 12c Mobile app

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• InnoDB Compression Improvements in MySQL 5.6

  - by Inaam Rana

  MySQL 5.6 comes with significant improvements for the compression support inside InnoDB. The enhancements that we'll talk about in this piece are also a good example of community contributions. The work on these was conceived, implemented and contributed by the engineers at Facebook. Before we plunge into the details let us familiarize ourselves with some of the key concepts surrounding InnoDB compression. In InnoDB compressed pages are fixed size. Supported sizes are 1, 2, 4, 8 and 16K. The compressed page size is specified at table creation time. InnoDB uses zlib for compression. InnoDB buffer pool will attempt to cache compressed pages like normal pages. However, whenever a page is actively used by a transaction, we'll always have the uncompressed version of the page as well i.e.: we can have a page in the buffer pool in compressed only form or in a state where we have both the compressed page and uncompressed version but we'll never have a page in uncompressed only form. On-disk we'll always only have the compressed page. When both compressed and uncompressed images are present in the buffer pool they are always kept in sync i.e.: changes are applied to both atomically. Recompression happens when changes are made to the compressed data. In order to minimize recompressions InnoDB maintains a modification log within a compressed page. This is the extra space available in the page after compression and it is used to log modifications to the compressed data thus avoiding recompressions. DELETE (and ROLLBACK of DELETE) and purge can be performed without recompressing the page. This is because the delete-mark bit and the system fields DB_TRX_ID and DB_ROLL_PTR are stored in uncompressed format on the compressed page. A record can be purged by shuffling entries in the compressed page directory. This can also be useful for updates of indexed columns, because UPDATE of a key is mapped to INSERT+DELETE+purge. A compression failure happens when we attempt to recompress a page and it does not fit in the fixed size. In such case, we first try to reorganize the page and attempt to recompress and if that fails as well then we split the page into two and recompress both pages. Now lets talk about the three major improvements that we made in MySQL 5.6.Logging of Compressed Page Images:InnoDB used to log entire compressed data on the page to the redo logs when recompression happens. This was an extra safety measure to guard against the rare case where an attempt is made to do recovery using a different zlib version from the one that was used before the crash. Because recovery is a page level operation in InnoDB we have to be sure that all recompress attempts must succeed without causing a btree page split. However, writing entire compressed data images to the redo log files not only makes the operation heavy duty but can also adversely affect flushing activity. This happens because redo space is used in a circular fashion and when we generate much more than normal redo we fill up the space much more quickly and in order to reuse the redo space we have to flush the corresponding dirty pages from the buffer pool.Starting with MySQL 5.6 a new global configuration parameter innodb_log_compressed_pages. The default value is true which is same as the current behavior. If you are sure that you are not going to attempt to recover from a crash using a different version of zlib then you should set this parameter to false. This is a dynamic parameter.Compression Level:You can now set the compression level that zlib should choose to compress the data. The global parameter is innodb_compression_level - the default value is 6 (the zlib default) and allowed values are 1 to 9. Again the parameter is dynamic i.e.: you can change it on the fly.Dynamic Padding to Reduce Compression Failures:Compression failures are expensive in terms of CPU. We go through the hoops of recompress, failure, reorganize, recompress, failure and finally page split. At the same time, how often we encounter compression failure depends largely on the compressibility of the data. In MySQL 5.6, courtesy of Facebook engineers, we have an adaptive algorithm based on per-index statistics that we gather about compression operations. The idea is that if a certain index/table is experiencing too many compression failures then we should try to pack the 16K uncompressed version of the page less densely i.e.: we let some space in the 16K page go unused in an attempt that the recompression won't end up in a failure. In other words, we dynamically keep adding 'pad' to the 16K page till we get compression failures within an agreeable range. It works the other way as well, that is we'll keep removing the pad if failure rate is fairly low. To tune the padding effort two configuration variables are exposed. innodb_compression_failure_threshold_pct: default 5, range 0 - 100,dynamic, implies the percentage of compress ops to fail before we start using to padding. Value 0 has a special meaning of disabling the padding. innodb_compression_pad_pct_max: default 50, range 0 - 75, dynamic, the  maximum percentage of uncompressed data page that can be reserved as pad.

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• MySQL Connector/Net 6.6.3 Beta 2 has been released

  - by fernando

  MySQL Connector/Net 6.6.3, a new version of the all-managed .NET driver for MySQL has been released.  This is the second of two beta releases intended to introduce users to the new features in the release. This release is feature complete it should be stable enough for users to understand the new features and how we expect them to work.  As is the case with all non-GA releases, it should not be used in any production environment.  It is appropriate for use with MySQL server versions 5.0-5.6. It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.6 version of MySQL Connector/Net brings the following new features:   * Stored routine debugging   * Entity Framework 4.3 Code First support   * Pluggable authentication (now third parties can plug new authentications mechanisms into the driver).   * Full Visual Studio 2012 support: everything from Server Explorer to Intellisense&   the Stored Routine debugger. Stored Procedure Debugging ------------------------------------------- We are very excited to introduce stored procedure debugging into our Visual Studio integration.  It works in a very intuitive manner by simply clicking 'Debug Routine' from Server Explorer. You can debug stored routines, functions&   triggers. These release contains fixes specific of the debugger as well as other fixes specific of other areas of Connector/NET:   * Added feature to define initial values for InOut stored procedure arguments.   * Debugger: Fixed Visual Studio locked connection after debugging a routine.   * Fix for bug Cannot Create an Entity with a Key of Type String (MySQL bug #65289, Oracle bug #14540202).   * Fix for bug "CacheServerProperties can cause 'Packet too large' error". MySQL Bug #66578 Orabug #14593547.   * Fix for handling unnamed parameter in MySQLCommand. This fix allows the mysqlcommand to handle parameters without requiring naming (e.g. INSERT INTO Test (id,name) VALUES (?, ?) ) (MySQL Bug #66060, Oracle bug #14499549).   * Fixed end of line issue when debugging a routine.   * Added validation to avoid overwriting a routine backup file when it hasn't changed.   * Fixed inheritance on Entity Framework Code First scenarios. (MySql bug #63920 and Oracle bug #13582335).   * Fixed "Trying to customize column precision in Code First does not work" (MySql bug #65001, Oracle bug #14469048).   * Fixed bug ASP.NET Membership database fails on MySql database UTF32 (MySQL bug #65144, Oracle bug #14495292).   * Fix for MySqlCommand.LastInsertedId holding only 32 bit values (MySql bug #65452, Oracle bug #14171960).   * Fixed "Decimal type should have digits at right of decimal point", now default is 2, and user's changes in     EDM designer are recognized (MySql bug #65127, Oracle bug #14474342).   * Fix for NullReferenceException when saving an uninitialized row in Entity Framework (MySql bug #66066, Oracle bug #14479715).   * Fix for error when calling RoleProvider.RemoveUserFromRole(): causes an exception due to a wrong table being used (MySql bug #65805, Oracle bug #14405338).   * Fix for "Memory Leak on MySql.Data.MySqlClient.MySqlCommand", too many MemoryStream's instances created (MySql bug #65696, Oracle bug #14468204).   * Added ANTLR attribution notice (Oracle bug #14379162).   * Fix for debugger failing when having a routine with an if-elseif-else.   * Also the programming interface for authentication plugins has been redefined. Some limitations remains, due to the current debugger architecture:   * Some MySQL functions cannot be debugged currently (get_lock, release_lock, begin, commit, rollback, set transaction level)..   * Only one debug session may be active on a given server. The Debugger is feature complete at this point. We look forward to your feedback. Documentation ------------------------------------- You can view current Connector/Net documentation at http://dev.mysql.com/doc/refman/5.5/en/connector-net.html You can find our team blog at http://blogs.oracle.com/MySQLOnWindows. You can also post questions on our forums at http://forums.mysql.com/. Enjoy and thanks for the support!

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• Database Rebuild

  - by Robert May

  I promised I’d have a simpler mechanism for rebuilding the database.  Below is a complete MSBuild targets file for rebuilding the database from scratch.  I don’t know if I’ve explained the rational for this.  The reason why you’d WANT to do this is so that each developer has a clean version of the database on their local machine.  This also includes the continuous integration environment.  Basically, you can do whatever you want to the database without fear, and in a minute or two, have a completely rebuilt database structure. DBDeploy (including the KTSC build task for dbdeploy) is used in this script to do change tracking on the database itself.  The MSBuild ExtensionPack is used in this target file.  You can get an MSBuild DBDeploy task here. There are two database scripts that you’ll see below.  First is the task for creating an admin (dbo) user in the system.  This script looks like the following: USE [master] GO If not Exists (select Name from sys.sql_logins where name = '$(User)') BEGIN CREATE LOGIN [$(User)] WITH PASSWORD=N'$(Password)', DEFAULT_DATABASE=[$(DatabaseName)], CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF END GO EXEC master..sp_addsrvrolemember @loginame = N'$(User)', @rolename = N'sysadmin' GO USE [$(DatabaseName)] GO CREATE USER [$(User)] FOR LOGIN [$(User)] GO ALTER USER [$(User)] WITH DEFAULT_SCHEMA=[dbo] GO EXEC sp_addrolemember N'db_owner', N'$(User)' GO The second creates the changelog table.  This script can also be found in the dbdeploy.net install\scripts directory. CREATE TABLE changelog ( change_number INTEGER NOT NULL, delta_set VARCHAR(10) NOT NULL, start_dt DATETIME NOT NULL, complete_dt DATETIME NULL, applied_by VARCHAR(100) NOT NULL, description VARCHAR(500) NOT NULL ) GO ALTER TABLE changelog ADD CONSTRAINT Pkchangelog PRIMARY KEY (change_number, delta_set) GO Finally, Here’s the targets file. <Projectxmlns="http://schemas.microsoft.com/developer/msbuild/2003" ToolsVersion="4.0" DefaultTargets="Update">   <PropertyGroup>     <DatabaseName>TestDatabase</DatabaseName>     <Server>localhost</Server>     <ScriptDirectory>.\Scripts</ScriptDirectory>     <RebuildDirectory>.\Rebuild</RebuildDirectory>     <TestDataDirectory>.\TestData</TestDataDirectory>     <DbDeploy>.\DBDeploy</DbDeploy>     <User>TestUser</User>     <Password>TestPassword</Password>     <BCP>bcp</BCP>     <BCPOptions>-S$(Server) -U$(User) -P$(Password) -N -E -k</BCPOptions>     <OutputFileName>dbDeploy-output.sql</OutputFileName>     <UndoFileName>dbDeploy-output-undo.sql</UndoFileName>     <LastChangeToApply>99999</LastChangeToApply>   </PropertyGroup>     <ImportProject="$(MSBuildExtensionsPath)\ExtensionPack\4.0\MSBuild.ExtensionPack.tasks"/>   <UsingTask TaskName="Ktsc.Build.DBDeploy" AssemblyFile="$(DbDeploy)\Ktsc.Build.dll"/>   <ItemGroup>     <VariableInclude="DatabaseName">       <Value>$(DatabaseName)</Value>     </Variable>     <VariableInclude="Server">       <Value>$(Server)</Value>     </Variable>     <VariableInclude="User">       <Value>$(User)</Value>     </Variable>     <VariableInclude="Password">       <Value>$(Password)</Value>     </Variable>   </ItemGroup>     <TargetName="Rebuild">     <!--Take the database offline to disconnect any users. Requires that the current user is an admin of the sql server machine.-->     <MSBuild.ExtensionPack.SqlServer.SqlCmd Variables="@(Variable)" Database="$(DatabaseName)" TaskAction="Execute" CommandLineQuery ="ALTER DATABASE $(DatabaseName) SET OFFLINE WITH ROLLBACK IMMEDIATE"/>         <!--Bring it back online.  If you don't, the database files won't be deleted.-->     <MSBuild.ExtensionPack.Sql2008.DatabaseTaskAction="SetOnline" DatabaseItem="$(DatabaseName)"/>     <!--Delete the database, removing the existing files.-->     <MSBuild.ExtensionPack.Sql2008.DatabaseTaskAction="Delete" DatabaseItem="$(DatabaseName)"/>     <!--Create the new database in the default database path location.-->     <MSBuild.ExtensionPack.Sql2008.DatabaseTaskAction="Create" DatabaseItem="$(DatabaseName)" Force="True"/>         <!--Create admin user-->     <MSBuild.ExtensionPack.SqlServer.SqlCmd TaskAction="Execute" Server="(local)" Database="$(DatabaseName)" InputFiles="$(RebuildDirectory)\0002 Create Admin User.sql" Variables="@(Variable)" />     <!--Create the dbdeploy changelog.-->     <MSBuild.ExtensionPack.SqlServer.SqlCmd TaskAction="Execute" Server="(local)" Database="$(DatabaseName)" LogOn="$(User)" Password="$(Password)" InputFiles="$(RebuildDirectory)\0003 Create Changelog.sql" Variables="@(Variable)" />     <CallTarget Targets="Update;ImportData"/>     </Target>    <TargetName="Update" DependsOnTargets="CreateUpdateScript">     <MSBuild.ExtensionPack.SqlServer.SqlCmd TaskAction="Execute" Server="(local)" Database="$(DatabaseName)" LogOn="$(User)" Password="$(Password)" InputFiles="$(OutputFileName)" Variables="@(Variable)" />   </Target>   <TargetName="CreateUpdateScript">     <ktsc.Build.DBDeploy DbType="mssql"                                        DbConnection="User=$(User);Password=$(Password);Data Source=$(Server);Initial Catalog=$(DatabaseName);"                                        Dir="$(ScriptDirectory)"                                        OutputFile="..\$(OutputFileName)"                                        UndoOutputFile="..\$(UndoFileName)"                                        LastChangeToApply="$(LastChangeToApply)"/>   </Target>     <TargetName="ImportData">     <ItemGroup>       <TestData Include="$(TestDataDirectory)\*.dat"/>     </ItemGroup>     <ExecCommand="$(BCP) $(DatabaseName).dbo.%(TestData.Filename) in&quot;%(TestData.Identity)&quot;$(BCPOptions)"/>   </Target> </Project> Technorati Tags: MSBuild

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• Coherence Data Guarantees for Data Reads - Basic Terminology

  - by jpurdy

  When integrating Coherence into applications, each application has its own set of requirements with respect to data integrity guarantees. Developers often describe these requirements using expressions like "avoiding dirty reads" or "making sure that updates are transactional", but we often find that even in a small group of people, there may be a wide range of opinions as to what these terms mean. This may simply be due to a lack of familiarity, but given that Coherence sits at an intersection of several (mostly) unrelated fields, it may be a matter of conflicting vocabularies (e.g. "consistency" is similar but different in transaction processing versus multi-threaded programming). Since almost all data read consistency issues are related to the concept of concurrency, it is helpful to start with a definition of that, or rather what it means for two operations to be concurrent. Rather than implying that they occur "at the same time", concurrency is a slightly weaker statement -- it simply means that it can't be proven that one event precedes (or follows) the other. As an example, in a Coherence application, if two client members mutate two different cache entries sitting on two different cache servers at roughly the same time, it is likely that one update will precede the other by a significant amount of time (say 0.1ms). However, since there is no guarantee that all four members have their clocks perfectly synchronized, and there is no way to precisely measure the time it takes to send a given message between any two members (that have differing clocks), we consider these to be concurrent operations since we can not (easily) prove otherwise. So this leads to a question that we hear quite frequently: "Are the contents of the near cache always synchronized with the underlying distributed cache?". It's easy to see that if an update on a cache server results in a message being sent to each near cache, and then that near cache being updated that there is a window where the contents are different. However, this is irrelevant, since even if the application reads directly from the distributed cache, another thread update the cache before the read is returned to the application. Even if no other member modifies a cache entry prior to the local near cache entry being updated (and subsequently read), the purpose of reading a cache entry is to do something with the result, usually either displaying for consumption by a human, or by updating the entry based on the current state of the entry. In the former case, it's clear that if the data is updated faster than a human can perceive, then there is no problem (and in many cases this can be relaxed even further). For the latter case, the application must assume that the value might potentially be updated before it has a chance to update it. This almost aways the case with read-only caches, and the solution is the traditional optimistic transaction pattern, which requires the application to explicitly state what assumptions it made about the old value of the cache entry. If the application doesn't want to bother stating those assumptions, it is free to lock the cache entry prior to reading it, ensuring that no other threads will mutate the entry, a pessimistic approach. The optimistic approach relies on what is sometimes called a "fuzzy read". In other words, the application assumes that the read should be correct, but it also acknowledges that it might not be. (I use the qualifier "sometimes" because in some writings, "fuzzy read" indicates the situation where the application actually sees an original value and then later sees an updated value within the same transaction -- however, both definitions are roughly equivalent from an application design perspective). If the read is not correct it is called a "stale read". Going back to the definition of concurrency, it may seem difficult to precisely define a stale read, but the practical way of detecting a stale read is that is will cause the encompassing transaction to roll back if it tries to update that value. The pessimistic approach relies on a "coherent read", a guarantee that the value returned is not only the same as the primary copy of that value, but also that it will remain that way. In most cases this can be used interchangeably with "repeatable read" (though that term has additional implications when used in the context of a database system). In none of cases above is it possible for the application to perform a "dirty read". A dirty read occurs when the application reads a piece of data that was never committed. In practice the only way this can occur is with multi-phase updates such as transactions, where a value may be temporarily update but then withdrawn when a transaction is rolled back. If another thread sees that value prior to the rollback, it is a dirty read. If an application uses optimistic transactions, dirty reads will merely result in a lack of forward progress (this is actually one of the main risks of dirty reads -- they can be chained and potentially cause cascading rollbacks). The concepts of dirty reads, fuzzy reads, stale reads and coherent reads are able to describe the vast majority of requirements that we see in the field. However, the important thing is to define the terms used to define requirements. A quick web search for each of the terms in this article will show multiple meanings, so I've selected what are generally the most common variations, but it never hurts to state each definition explicitly if they are critical to the success of a project (many applications have sufficiently loose requirements that precise terminology can be avoided).

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• Oracle HRMS API – Create Employee Address

  - by PRajkumar

  API - hr_person_address_api.create_person_address Example --   DECLARE     ln_address_id                           PER_ADDRESSES.ADDRESS_ID%TYPE;     ln_object_version_number    PER_ADDRESSES.OBJECT_VERSION_NUMBER%TYPE; BEGIN    -- Create Employee Address    -- --------------------------------------     hr_person_address_api.create_person_address     (     -- Input data elements           -- ------------------------------           p_effective_date                    => TO_DATE('08-JUN-2011'),           p_person_id                           => 32979,           p_primary_flag                     => 'Y',           p_style                                     => 'US',           p_date_from                           => TO_DATE('08-JUN-2011'),           p_address_line1                   => '50 Main Street',           p_address_line2                   => NULL,           p_town_or_city                     => 'White Plains',           p_region_1                              => 'Westchester',           p_region_2                              => 'NY',           p_postal_code                        => 10601,           p_country                                => 'US',           -- Output data elements           -- --------------------------------           p_address_id                          => ln_address_id,           p_object_version_number   => ln_object_version_number    );    COMMIT; EXCEPTION        WHEN OTHERS THEN                        ROLLBACK;                        dbms_output.put_line(SQLERRM); END; / SHOW ERR;    

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