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How to deploy jBPM 3.2.2 console on Oracle 10g iAS

- by Balint Pato

Hi! Does anybody have experience regarding deployment of the jBPM Administration Console on Oracle 10g iAS? I successfully deployed it using an .ear, security mappings working, I can even login to the console, Hibernate finds the JNDI datasource but it cannot find the TransactionManager. I see no log, only the exception thrown in the jsf page: Can anybody help me? The hibernate.cfg.xml file now looks like this: <?xml version='1.0' encoding='utf-8'?> <!DOCTYPE hibernate-configuration PUBLIC "-//Hibernate/Hibernate Configuration DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-configuration-3.0.dtd"> <hibernate-configuration> <session-factory>  <property name="hibernate.dialect">org.hibernate.dialect.Oracle9Dialect</property>  <property name="hibernate.cache.provider_class">org.hibernate.cache.HashtableCacheProvider</property>  <property name="hibernate.connection.datasource">java:/JbpmDS</property>   <property name="hibernate.transaction.factory_class">org.hibernate.transaction.JTATransactionFactory</property>     <property name="hibernate.show_sql">true</property> <property name="hibernate.format_sql">true</property> <property name="hibernate.use_sql_comments">true</property> <--==== logging properties (end) -->         <mapping resource="org/jbpm/graph/action/Script.hbm.xml"/>        <mapping resource="org/jbpm/identity/User.hbm.xml"/> <mapping resource="org/jbpm/identity/Group.hbm.xml"/> <mapping resource="org/jbpm/identity/Membership.hbm.xml"/>         <mapping resource="org/jbpm/db/hibernate.queries.hbm.xml" />  <mapping resource="org/jbpm/graph/action/MailAction.hbm.xml"/>  <mapping resource="org/jbpm/graph/def/ProcessDefinition.hbm.xml"/> <mapping resource="org/jbpm/graph/def/Node.hbm.xml"/> <mapping resource="org/jbpm/graph/def/Transition.hbm.xml"/> <mapping resource="org/jbpm/graph/def/Event.hbm.xml"/> <mapping resource="org/jbpm/graph/def/Action.hbm.xml"/> <mapping resource="org/jbpm/graph/def/SuperState.hbm.xml"/> <mapping resource="org/jbpm/graph/def/ExceptionHandler.hbm.xml"/> <mapping resource="org/jbpm/instantiation/Delegation.hbm.xml"/>  <mapping resource="org/jbpm/graph/node/StartState.hbm.xml"/> <mapping resource="org/jbpm/graph/node/EndState.hbm.xml"/> <mapping resource="org/jbpm/graph/node/ProcessState.hbm.xml"/> <mapping resource="org/jbpm/graph/node/Decision.hbm.xml"/> <mapping resource="org/jbpm/graph/node/Fork.hbm.xml"/> <mapping resource="org/jbpm/graph/node/Join.hbm.xml"/> <mapping resource="org/jbpm/graph/node/MailNode.hbm.xml"/> <mapping resource="org/jbpm/graph/node/State.hbm.xml"/> <mapping resource="org/jbpm/graph/node/TaskNode.hbm.xml"/>  <mapping resource="org/jbpm/context/def/ContextDefinition.hbm.xml"/> <mapping resource="org/jbpm/context/def/VariableAccess.hbm.xml"/>  <mapping resource="org/jbpm/taskmgmt/def/TaskMgmtDefinition.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/def/Swimlane.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/def/Task.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/def/TaskController.hbm.xml"/>  <mapping resource="org/jbpm/module/def/ModuleDefinition.hbm.xml"/>  <mapping resource="org/jbpm/bytes/ByteArray.hbm.xml"/>  <mapping resource="org/jbpm/file/def/FileDefinition.hbm.xml"/>  <mapping resource="org/jbpm/scheduler/def/CreateTimerAction.hbm.xml"/> <mapping resource="org/jbpm/scheduler/def/CancelTimerAction.hbm.xml"/>  <mapping resource="org/jbpm/graph/exe/Comment.hbm.xml"/> <mapping resource="org/jbpm/graph/exe/ProcessInstance.hbm.xml"/> <mapping resource="org/jbpm/graph/exe/Token.hbm.xml"/> <mapping resource="org/jbpm/graph/exe/RuntimeAction.hbm.xml"/>  <mapping resource="org/jbpm/module/exe/ModuleInstance.hbm.xml"/>  <mapping resource="org/jbpm/context/exe/ContextInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/TokenVariableMap.hbm.xml"/> <mapping resource="org/jbpm/context/exe/VariableInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/ByteArrayInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/DateInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/DoubleInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/HibernateLongInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/HibernateStringInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/LongInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/NullInstance.hbm.xml"/> <mapping resource="org/jbpm/context/exe/variableinstance/StringInstance.hbm.xml"/>  <mapping resource="org/jbpm/job/Job.hbm.xml"/> <mapping resource="org/jbpm/job/Timer.hbm.xml"/> <mapping resource="org/jbpm/job/ExecuteNodeJob.hbm.xml"/> <mapping resource="org/jbpm/job/ExecuteActionJob.hbm.xml"/>  <mapping resource="org/jbpm/taskmgmt/exe/TaskMgmtInstance.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/exe/TaskInstance.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/exe/PooledActor.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/exe/SwimlaneInstance.hbm.xml"/>  <mapping resource="org/jbpm/logging/log/ProcessLog.hbm.xml"/> <mapping resource="org/jbpm/logging/log/MessageLog.hbm.xml"/> <mapping resource="org/jbpm/logging/log/CompositeLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/ActionLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/NodeLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/ProcessInstanceCreateLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/ProcessInstanceEndLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/ProcessStateLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/SignalLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/TokenCreateLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/TokenEndLog.hbm.xml"/> <mapping resource="org/jbpm/graph/log/TransitionLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/VariableLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/VariableCreateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/VariableDeleteLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/VariableUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/ByteArrayUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/DateUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/DoubleUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/HibernateLongUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/HibernateStringUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/LongUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/context/log/variableinstance/StringUpdateLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/TaskLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/TaskCreateLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/TaskAssignLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/TaskEndLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/SwimlaneLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/SwimlaneCreateLog.hbm.xml"/> <mapping resource="org/jbpm/taskmgmt/log/SwimlaneAssignLog.hbm.xml"/> </session-factory> </hibernate-configuration> ---- edit --- I have already tried the hibernate.transaction.manager_lookup_class to set to the JBoss version (org.hibernate.transaction.JBossTransactionManagerLookup) it did not work...well it's not that suprising...I'll try now: org.hibernate.transaction.OC4JTransactionManagerLookup I tried with CMT instead of JTA, but it didn't work also.

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In SQL Server, how can I separate a large number of tsql statement into batches?

- by Yousui

Hi guys, In SQL Server, how can I separate a large number of tsql statement into batches? Should I use the GO statement in stored procedures or functions? Should I use the GO statement in explicit transaction management situation(between BEGIN TRANSACTION and ROLLBACK TRANSACTION or COMMIT TRANSACTION)? Are there some best practice about this topic? Great thanks in advance.

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DBTransaction Rollback throws

- by pdiddy

Looking into the documentation it says that the Rollback method can throw when the transaction is not in pending state (after begin transaction and before commit transaction). I can't seem to find a way to check whether the transaction can be rollback or not. There isn't a state property either.

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SQL Server Table Polling by Multiple Subscribers

- by Daniel Hester

Background Designing Stored Procedures that are safe for multiple subscribers (to call simultaneously) can be challenging. For example let’s say that you want multiple worker processes to poll a shared work queue that’s encapsulated as a SQL Table. This is a common scenario and through experience you’ll find that you want to use Table Hints to prevent unwanted locking when performing simultaneous queries on the same table. There are three table hints to consider: NOLOCK, READPAST and UPDLOCK. Both NOLOCK and READPAST table hints allow you to SELECT from a table without placing a LOCK on that table. However, SELECTs with the READPAST hint will ignore any records that are locked due to being updated/inserted (or otherwise “dirty”), whereas a SELECT with NOLOCK ignores all locks including dirty reads. For the initial update of the flag (that marks the record as available for subscription) I don’t use the NOLOCK Table Hint because I want to be sensitive to the “active” records in the table and I want to exclude them. I use an Update Lock (UPDLOCK) in conjunction with a WHERE clause that uses a sub-select with a READPAST Table Hint in order to explicitly lock the records I’m updating (UPDLOCK) but not place a lock on the table when selecting the records that I’m going to update (READPAST). UPDATES should be allowed to lock the rows affected because we’re probably changing a flag on a record so that it is not included in a SELECT from another subscriber. On the UPDATE statement we should explicitly use the UPDLOCK to guard against lock escalation. A SELECT to check for the next record(s) to process can result in a shared read lock being held by more than one subscriber polling the shared work queue (SQL table). It is expected that more than one worker process (or server) might try to process the same new record(s) at the same time. When each process then tries to obtain the update lock, none of them can because another process has a shared read lock in place. Thus without the UPDLOCK hint the result would be a lock escalation deadlock; however with the UPDLOCK hint this condition is mitigated against. Note that using the READPAST table hint requires that you also set the ISOLATION LEVEL of the transaction to be READ COMMITTED (rather than the default of SERIALIZABLE). Guidance In the Stored Procedure that returns records to the multiple subscribers: Perform the UPDATE first. Change the flag that makes the record available to subscribers. Additionally, you may want to update a LastUpdated datetime field in order to be able to check for records that “got stuck” in an intermediate state or for other auditing purposes. In the UPDATE statement use the (UPDLOCK) Table Hint on the UPDATE statement to prevent lock escalation. In the UPDATE statement also use a WHERE Clause that uses a sub-select with a (READPAST) Table Hint to select the records that you’re going to update. In the UPDATE statement use the OUTPUT clause in conjunction with a Temporary Table to isolate the record(s) that you’ve just updated and intend to return to the subscriber. This is the fastest way to update the record(s) and to get the records’ identifiers within the same operation. Finally do a set-based SELECT on the main Table (using the Temporary Table to identify the records in the set) with either a READPAST or NOLOCK table hint. Use NOLOCK if there are other processes (besides the multiple subscribers) that might be changing the data that you want to return to the multiple subscribers; or use READPAST if you're sure there are no other processes (besides the multiple subscribers) that might be updating column data in the table for other purposes (e.g. changes to a person’s last name). NOLOCK is generally the better fit in this part of the scenario. See the following as an example: CREATE PROCEDURE [dbo].[usp_NewCustomersSelect] AS BEGIN -- OVERRIDE THE DEFAULT ISOLATION LEVEL SET TRANSACTION ISOLATION LEVEL READ COMMITTED -- SET NOCOUNT ON SET NOCOUNT ON -- DECLARE TEMP TABLE -- Note that this example uses CustomerId as an identifier; -- you could just use the Identity column Id if that’s all you need. DECLARE @CustomersTempTable TABLE ( CustomerId NVARCHAR(255) ) -- PERFORM UPDATE FIRST -- [Customers] is the name of the table -- [Id] is the Identity Column on the table -- [CustomerId] is the business document key used to identify the -- record globally, i.e. in other systems or across SQL tables -- [Status] is INT or BIT field (if the status is a binary state) -- [LastUpdated] is a datetime field used to record the time of the -- last update UPDATE [Customers] WITH (UPDLOCK) SET [Status] = 1, [LastUpdated] = GETDATE() OUTPUT [INSERTED].[CustomerId] INTO @CustomersTempTable WHERE ([Id] = (SELECT TOP 100 [Id] FROM [Customers] WITH (READPAST) WHERE ([Status] = 0) ORDER BY [Id] ASC)) -- PERFORM SELECT FROM ENTITY TABLE SELECT [C].[CustomerId], [C].[FirstName], [C].[LastName], [C].[Address1], [C].[Address2], [C].[City], [C].[State], [C].[Zip], [C].[ShippingMethod], [C].[Id] FROM [Customers] AS [C] WITH (NOLOCK), @CustomersTempTable AS [TEMP] WHERE ([C].[CustomerId] = [TEMP].[CustomerId]) END In a system that has been designed to have multiple status values for records that need to be processed in the Work Queue it is necessary to have a “Watch Dog” process by which “stale” records in intermediate states (such as “In Progress”) are detected, i.e. a [Status] of 0 = New or Unprocessed; a [Status] of 1 = In Progress; a [Status] of 2 = Processed; etc.. Thus, if you have a business rule that states that the application should only process new records if all of the old records have been processed successfully (or marked as an error), then it will be necessary to build a monitoring process to detect stalled or stale records in the Work Queue, hence the use of the LastUpdated column in the example above. The Status field along with the LastUpdated field can be used as the criteria to detect stalled / stale records. It is possible to put this watchdog logic into the stored procedure above, but I would recommend making it a separate monitoring function. In writing the stored procedure that checks for stale records I would recommend using the same kind of lock semantics as suggested above. The example below looks for records that have been in the “In Progress” state ([Status] = 1) for greater than 60 seconds: CREATE PROCEDURE [dbo].[usp_NewCustomersWatchDog] AS BEGIN -- TO OVERRIDE THE DEFAULT ISOLATION LEVEL SET TRANSACTION ISOLATION LEVEL READ COMMITTED -- SET NOCOUNT ON SET NOCOUNT ON DECLARE @MaxWait int; SET @MaxWait = 60 IF EXISTS (SELECT 1 FROM [dbo].[Customers] WITH (READPAST) WHERE ([Status] = 1) AND (DATEDIFF(s, [LastUpdated], GETDATE()) > @MaxWait)) BEGIN SELECT 1 AS [IsWatchDogError] END ELSE BEGIN SELECT 0 AS [IsWatchDogError] END END Downloads The zip file below contains two SQL scripts: one to create a sample database with the above stored procedures and one to populate the sample database with 10,000 sample records. I am very grateful to Red-Gate software for their excellent SQL Data Generator tool which enabled me to create these sample records in no time at all. References http://msdn.microsoft.com/en-us/library/ms187373.aspx http://www.techrepublic.com/article/using-nolock-and-readpast-table-hints-in-sql-server/6185492 http://geekswithblogs.net/gwiele/archive/2004/11/25/15974.aspx http://grounding.co.za/blogs/romiko/archive/2009/03/09/biztalk-sql-receive-location-deadlocks-dirty-reads-and-isolation-levels.aspx

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Deletes that Split Pages and Forwarded Ghosts

- by Paul White

Can DELETE operations cause pages to split? Yes. It sounds counter-intuitive on the face of it; deleting rows frees up space on a page, and page splitting occurs when a page needs additional space. Nevertheless, there are circumstances when deleting rows causes them to expand before they can be deleted. The mechanism at work here is row versioning (extract from Books Online below): Isolation Levels The relationship between row-versioning isolation levels (the first bullet point) and page splits is...(read more)

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Help! The log file for database 'tempdb' is full. Back up the transaction log for the database to fr

- by michael.lukatchik

We're running SQL Server 2000. In our database, we have an "Orders" table with approximately 750,000 rows. We can perform simple SELECT statements on this table. However, when we want to run a query like SELECT TOP 100 * FROM Orders ORDER BY Date_Ordered DESC, we receive the following message: Error: 9002, Severity: 17, State: 6 The log file for database 'tempdb' is full. Back up the transaction log for the database to free up some log space. We have other tables in our database which are similar in size of the amount of records that are in the tables (i.e. 700,000 records). On these tables, we can run any queries we'd like and we never receive a message about 'tempdb being full'. To resolve this, we've backed up our database, shrunk the actual database and also shrunk the database and files in the tempdb system database, but this hasn't resolved the issue. The size of our log file is set to autogrow. We're not sure where to go next. Are there any ideas why we still might be receiving this message? Error: 9002, Severity: 17, State: 6 The log file for database 'tempdb' is full. Back up the transaction log for the database to free up some log space.

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Wicket, Spring and Hibernate - Testing with Unitils - Error: Table not found in statement [select re

- by John

Hi there. I've been following a tutorial and a sample application, namely 5 Days of Wicket - Writing the tests: http://www.mysticcoders.com/blog/2009/03/10/5-days-of-wicket-writing-the-tests/ I've set up my own little project with a simple shoutbox that saves messages to a database. I then wanted to set up a couple of tests that would make sure that if a message is stored in the database, the retrieved object would contain the exact same data. Upon running mvn test all my tests fail. The exception has been pasted in the first code box underneath. I've noticed that even though my unitils.properties says to use the 'hdqldb'-dialect, this message is still output in the console window when starting the tests: INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect. I've added the entire dump from the console as well at the bottom of this post (which goes on for miles and miles :-)). Upon running mvn test all my tests fail, and the exception is: Caused by: java.sql.SQLException: Table not found in statement [select relname from pg_class] at org.hsqldb.jdbc.Util.sqlException(Unknown Source) at org.hsqldb.jdbc.jdbcStatement.fetchResult(Unknown Source) at org.hsqldb.jdbc.jdbcStatement.executeQuery(Unknown Source) at org.apache.commons.dbcp.DelegatingStatement.executeQuery(DelegatingStatement.java:188) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.initSequences(DatabaseMetadata.java:151) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.(DatabaseMetadata.java:69) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.(DatabaseMetadata.java:62) at org.springframework.orm.hibernate3.LocalSessionFactoryBean$3.doInHibernate(LocalSessionFactoryBean.java:958) at org.springframework.orm.hibernate3.HibernateTemplate.doExecute(HibernateTemplate.java:419) ... 49 more I've set up my unitils.properties file like so: database.driverClassName=org.hsqldb.jdbcDriver database.url=jdbc:hsqldb:mem:PUBLIC database.userName=sa database.password= database.dialect=hsqldb database.schemaNames=PUBLIC My abstract IntegrationTest class: @SpringApplicationContext({"/com/upbeat/shoutbox/spring/applicationContext.xml", "applicationContext-test.xml"}) public abstract class AbstractIntegrationTest extends UnitilsJUnit4 { private ApplicationContext applicationContext; } applicationContext-test.xml: <?xml version="1.0" encoding="UTF-8"? <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd" <bean id="dataSource" class="org.unitils.database.UnitilsDataSourceFactoryBean"/ </beans and finally, one of the test classes: package com.upbeat.shoutbox.web; import org.apache.wicket.spring.injection.annot.test.AnnotApplicationContextMock; import org.apache.wicket.util.tester.WicketTester; import org.junit.Before; import org.junit.Test; import org.unitils.spring.annotation.SpringBeanByType; import com.upbeat.shoutbox.HomePage; import com.upbeat.shoutbox.integrations.AbstractIntegrationTest; import com.upbeat.shoutbox.persistence.ShoutItemDao; import com.upbeat.shoutbox.services.ShoutService; public class TestHomePage extends AbstractIntegrationTest { @SpringBeanByType private ShoutService svc; @SpringBeanByType private ShoutItemDao dao; protected WicketTester tester; @Before public void setUp() { AnnotApplicationContextMock appctx = new AnnotApplicationContextMock(); appctx.putBean("shoutItemDao", dao); appctx.putBean("shoutService", svc); tester = new WicketTester(); } @Test public void testRenderMyPage() { //start and render the test page tester.startPage(HomePage.class); //assert rendered page class tester.assertRenderedPage(HomePage.class); //assert rendered label component tester.assertLabel("message", "If you see this message wicket is properly configured and running"); } } Dump from console when running mvn test: [INFO] Scanning for projects... [INFO] ------------------------------------------------------------------------ [INFO] Building shoutbox [INFO] task-segment: [test] [INFO] ------------------------------------------------------------------------ [INFO] [resources:resources {execution: default-resources}] [WARNING] File encoding has not been set, using platform encoding Cp1252, i.e. build is platform dependent! [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 3 resources [INFO] Copying 4 resources [INFO] [compiler:compile {execution: default-compile}] [INFO] Nothing to compile - all classes are up to date [INFO] [resources:testResources {execution: default-testResources}] [WARNING] File encoding has not been set, using platform encoding Cp1252, i.e. build is platform dependent! [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 2 resources [INFO] [compiler:testCompile {execution: default-testCompile}] [INFO] Nothing to compile - all classes are up to date [INFO] [surefire:test {execution: default-test}] [INFO] Surefire report directory: F:\Projects\shoutbox\target\surefire-reports INFO - ConfigurationLoader - Loaded main configuration file unitils-default.properties from classpath. INFO - ConfigurationLoader - Loaded custom configuration file unitils.properties from classpath. INFO - ConfigurationLoader - No local configuration file unitils-local.properties found. ------------------------------------------------------- T E S T S ------------------------------------------------------- Running com.upbeat.shoutbox.web.TestViewShoutsPage Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.02 sec INFO - Version - Hibernate Annotations 3.4.0.GA INFO - Environment - Hibernate 3.3.0.SP1 INFO - Environment - hibernate.properties not found INFO - Environment - Bytecode provider name : javassist INFO - Environment - using JDK 1.4 java.sql.Timestamp handling INFO - Version - Hibernate Commons Annotations 3.1.0.GA INFO - AnnotationBinder - Binding entity from annotated class: com.upbeat.shoutbox.models.ShoutItem INFO - QueryBinder - Binding Named query: item.getById = from ShoutItem item where item.id = :id INFO - QueryBinder - Binding Named query: item.find = from ShoutItem item order by item.timestamp desc INFO - QueryBinder - Binding Named query: item.count = select count(item) from ShoutItem item INFO - EntityBinder - Bind entity com.upbeat.shoutbox.models.ShoutItem on table SHOUT_ITEMS INFO - AnnotationConfiguration - Hibernate Validator not found: ignoring INFO - notationSessionFactoryBean - Building new Hibernate SessionFactory INFO - earchEventListenerRegister - Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. INFO - ConnectionProviderFactory - Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider INFO - SettingsFactory - RDBMS: HSQL Database Engine, version: 1.8.0 INFO - SettingsFactory - JDBC driver: HSQL Database Engine Driver, version: 1.8.0 INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - TransactionFactoryFactory - Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory INFO - actionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) INFO - SettingsFactory - Automatic flush during beforeCompletion(): disabled INFO - SettingsFactory - Automatic session close at end of transaction: disabled INFO - SettingsFactory - JDBC batch size: 1000 INFO - SettingsFactory - JDBC batch updates for versioned data: disabled INFO - SettingsFactory - Scrollable result sets: enabled INFO - SettingsFactory - JDBC3 getGeneratedKeys(): disabled INFO - SettingsFactory - Connection release mode: auto INFO - SettingsFactory - Default batch fetch size: 1 INFO - SettingsFactory - Generate SQL with comments: disabled INFO - SettingsFactory - Order SQL updates by primary key: disabled INFO - SettingsFactory - Order SQL inserts for batching: disabled INFO - SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory INFO - ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory INFO - SettingsFactory - Query language substitutions: {} INFO - SettingsFactory - JPA-QL strict compliance: disabled INFO - SettingsFactory - Second-level cache: enabled INFO - SettingsFactory - Query cache: enabled INFO - SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge INFO - FactoryCacheProviderBridge - Cache provider: org.hibernate.cache.HashtableCacheProvider INFO - SettingsFactory - Optimize cache for minimal puts: disabled INFO - SettingsFactory - Structured second-level cache entries: disabled INFO - SettingsFactory - Query cache factory: org.hibernate.cache.StandardQueryCacheFactory INFO - SettingsFactory - Echoing all SQL to stdout INFO - SettingsFactory - Statistics: disabled INFO - SettingsFactory - Deleted entity synthetic identifier rollback: disabled INFO - SettingsFactory - Default entity-mode: pojo INFO - SettingsFactory - Named query checking : enabled INFO - SessionFactoryImpl - building session factory INFO - essionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured INFO - UpdateTimestampsCache - starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache INFO - StandardQueryCache - starting query cache at region: org.hibernate.cache.StandardQueryCache INFO - notationSessionFactoryBean - Updating database schema for Hibernate SessionFactory INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [org/springframework/jdbc/support/sql-error-codes.xml] INFO - SQLErrorCodesFactory - SQLErrorCodes loaded: [DB2, Derby, H2, HSQL, Informix, MS-SQL, MySQL, Oracle, PostgreSQL, Sybase] INFO - DefaultListableBeanFactory - Destroying singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@3e0ebb: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy INFO - sPathXmlApplicationContext - Refreshing org.springframework.context.support.ClassPathXmlApplicationContext@a8e586: display name [org.springframework.context.support.ClassPathXmlApplicationContext@a8e586]; startup date [Tue May 04 18:19:58 CEST 2010]; root of context hierarchy INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [com/upbeat/shoutbox/spring/applicationContext.xml] INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [applicationContext-test.xml] INFO - DefaultListableBeanFactory - Overriding bean definition for bean 'dataSource': replacing [Generic bean: class [org.apache.commons.dbcp.BasicDataSource]; scope=singleton; abstract=false; lazyInit=false; autowireMode=0; dependencyCheck=0; autowireCandidate=true; primary=false; factoryBeanName=null; factoryMethodName=null; initMethodName=null; destroyMethodName=close; defined in class path resource [com/upbeat/shoutbox/spring/applicationContext.xml]] with [Generic bean: class [org.unitils.database.UnitilsDataSourceFactoryBean]; scope=singleton; abstract=false; lazyInit=false; autowireMode=0; dependencyCheck=0; autowireCandidate=true; primary=false; factoryBeanName=null; factoryMethodName=null; initMethodName=null; destroyMethodName=null; defined in class path resource [applicationContext-test.xml]] INFO - sPathXmlApplicationContext - Bean factory for application context [org.springframework.context.support.ClassPathXmlApplicationContext@a8e586]: org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1 INFO - pertyPlaceholderConfigurer - Loading properties file from class path resource [application.properties] INFO - DefaultListableBeanFactory - Pre-instantiating singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy INFO - AnnotationBinder - Binding entity from annotated class: com.upbeat.shoutbox.models.ShoutItem INFO - QueryBinder - Binding Named query: item.getById = from ShoutItem item where item.id = :id INFO - QueryBinder - Binding Named query: item.find = from ShoutItem item order by item.timestamp desc INFO - QueryBinder - Binding Named query: item.count = select count(item) from ShoutItem item INFO - EntityBinder - Bind entity com.upbeat.shoutbox.models.ShoutItem on table SHOUT_ITEMS INFO - AnnotationConfiguration - Hibernate Validator not found: ignoring INFO - notationSessionFactoryBean - Building new Hibernate SessionFactory INFO - earchEventListenerRegister - Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. INFO - ConnectionProviderFactory - Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider INFO - SettingsFactory - RDBMS: HSQL Database Engine, version: 1.8.0 INFO - SettingsFactory - JDBC driver: HSQL Database Engine Driver, version: 1.8.0 INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - TransactionFactoryFactory - Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory INFO - actionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) INFO - SettingsFactory - Automatic flush during beforeCompletion(): disabled INFO - SettingsFactory - Automatic session close at end of transaction: disabled INFO - SettingsFactory - JDBC batch size: 1000 INFO - SettingsFactory - JDBC batch updates for versioned data: disabled INFO - SettingsFactory - Scrollable result sets: enabled INFO - SettingsFactory - JDBC3 getGeneratedKeys(): disabled INFO - SettingsFactory - Connection release mode: auto INFO - SettingsFactory - Default batch fetch size: 1 INFO - SettingsFactory - Generate SQL with comments: disabled INFO - SettingsFactory - Order SQL updates by primary key: disabled INFO - SettingsFactory - Order SQL inserts for batching: disabled INFO - SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory INFO - ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory INFO - SettingsFactory - Query language substitutions: {} INFO - SettingsFactory - JPA-QL strict compliance: disabled INFO - SettingsFactory - Second-level cache: enabled INFO - SettingsFactory - Query cache: enabled INFO - SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge INFO - FactoryCacheProviderBridge - Cache provider: org.hibernate.cache.HashtableCacheProvider INFO - SettingsFactory - Optimize cache for minimal puts: disabled INFO - SettingsFactory - Structured second-level cache entries: disabled INFO - SettingsFactory - Query cache factory: org.hibernate.cache.StandardQueryCacheFactory INFO - SettingsFactory - Echoing all SQL to stdout INFO - SettingsFactory - Statistics: disabled INFO - SettingsFactory - Deleted entity synthetic identifier rollback: disabled INFO - SettingsFactory - Default entity-mode: pojo INFO - SettingsFactory - Named query checking : enabled INFO - SessionFactoryImpl - building session factory INFO - essionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured INFO - UpdateTimestampsCache - starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache INFO - StandardQueryCache - starting query cache at region: org.hibernate.cache.StandardQueryCache INFO - notationSessionFactoryBean - Updating database schema for Hibernate SessionFactory INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - DefaultListableBeanFactory - Destroying singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 1.34 sec <<< FAILURE! Running com.upbeat.shoutbox.integrations.ShoutItemIntegrationTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0 sec <<< FAILURE! Running com.upbeat.shoutbox.mocks.ShoutServiceTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.01 sec <<< FAILURE! Results : Tests in error: initializationError(com.upbeat.shoutbox.web.TestViewShoutsPage) testRenderMyPage(com.upbeat.shoutbox.web.TestHomePage) initializationError(com.upbeat.shoutbox.integrations.ShoutItemIntegrationTest) initializationError(com.upbeat.shoutbox.mocks.ShoutServiceTest) Tests run: 4, Failures: 0, Errors: 4, Skipped: 0 [INFO] ------------------------------------------------------------------------ [ERROR] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] There are test failures. Please refer to F:\Projects\shoutbox\target\surefire-reports for the individual test results. [INFO] ------------------------------------------------------------------------ [INFO] For more information, run Maven with the -e switch [INFO] ------------------------------------------------------------------------ [INFO] Total time: 3 seconds [INFO] Finished at: Tue May 04 18:19:58 CEST 2010 [INFO] Final Memory: 13M/31M [INFO] ------------------------------------------------------------------------ Any help is greatly appreciated.

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Understanding LINQ to SQL (11) Performance

- by Dixin

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

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Neo4j OutOfMemory problem

- by Edward83

Hi! This is my source code of Main.java. It was grabbed from neo4j-apoc-1.0 examples. The goal of modification to store 1M records of 2 nodes and 1 relation: package javaapplication2; import org.neo4j.graphdb.GraphDatabaseService; import org.neo4j.graphdb.Node; import org.neo4j.graphdb.RelationshipType; import org.neo4j.graphdb.Transaction; import org.neo4j.kernel.EmbeddedGraphDatabase; public class Main { private static final String DB_PATH = "neo4j-store-1M"; private static final String NAME_KEY = "name"; private static enum ExampleRelationshipTypes implements RelationshipType { EXAMPLE } public static void main(String[] args) { GraphDatabaseService graphDb = null; try { System.out.println( "Init database..." ); graphDb = new EmbeddedGraphDatabase( DB_PATH ); registerShutdownHook( graphDb ); System.out.println( "Start of creating database..." ); int valIndex = 0; for(int i=0; i<1000; ++i) { for(int j=0; j<1000; ++j) { Transaction tx = graphDb.beginTx(); try { Node firstNode = graphDb.createNode(); firstNode.setProperty( NAME_KEY, "Hello" + valIndex ); Node secondNode = graphDb.createNode(); secondNode.setProperty( NAME_KEY, "World" + valIndex ); firstNode.createRelationshipTo( secondNode, ExampleRelationshipTypes.EXAMPLE ); tx.success(); ++valIndex; } finally { tx.finish(); } } } System.out.println("Ok, client processing finished!"); } finally { System.out.println( "Shutting down database ..." ); graphDb.shutdown(); } } private static void registerShutdownHook( final GraphDatabaseService graphDb ) { // Registers a shutdown hook for the Neo4j instance so that it // shuts down nicely when the VM exits (even if you "Ctrl-C" the // running example before it's completed) Runtime.getRuntime().addShutdownHook( new Thread() { @Override public void run() { graphDb.shutdown(); } } ); } } After a few iterations (around 150K) I got error message: "java.lang.OutOfMemoryError: Java heap space at java.nio.HeapByteBuffer.(HeapByteBuffer.java:39) at java.nio.ByteBuffer.allocate(ByteBuffer.java:312) at org.neo4j.kernel.impl.nioneo.store.PlainPersistenceWindow.(PlainPersistenceWindow.java:30) at org.neo4j.kernel.impl.nioneo.store.PersistenceWindowPool.allocateNewWindow(PersistenceWindowPool.java:534) at org.neo4j.kernel.impl.nioneo.store.PersistenceWindowPool.refreshBricks(PersistenceWindowPool.java:430) at org.neo4j.kernel.impl.nioneo.store.PersistenceWindowPool.acquire(PersistenceWindowPool.java:122) at org.neo4j.kernel.impl.nioneo.store.CommonAbstractStore.acquireWindow(CommonAbstractStore.java:459) at org.neo4j.kernel.impl.nioneo.store.AbstractDynamicStore.updateRecord(AbstractDynamicStore.java:240) at org.neo4j.kernel.impl.nioneo.store.PropertyStore.updateRecord(PropertyStore.java:209) at org.neo4j.kernel.impl.nioneo.xa.Command$PropertyCommand.execute(Command.java:513) at org.neo4j.kernel.impl.nioneo.xa.NeoTransaction.doCommit(NeoTransaction.java:443) at org.neo4j.kernel.impl.transaction.xaframework.XaTransaction.commit(XaTransaction.java:316) at org.neo4j.kernel.impl.transaction.xaframework.XaResourceManager.commit(XaResourceManager.java:399) at org.neo4j.kernel.impl.transaction.xaframework.XaResourceHelpImpl.commit(XaResourceHelpImpl.java:64) at org.neo4j.kernel.impl.transaction.TransactionImpl.doCommit(TransactionImpl.java:514) at org.neo4j.kernel.impl.transaction.TxManager.commit(TxManager.java:571) at org.neo4j.kernel.impl.transaction.TxManager.commit(TxManager.java:543) at org.neo4j.kernel.impl.transaction.TransactionImpl.commit(TransactionImpl.java:102) at org.neo4j.kernel.EmbeddedGraphDbImpl$TransactionImpl.finish(EmbeddedGraphDbImpl.java:329) at javaapplication2.Main.main(Main.java:62) 28.05.2010 9:52:14 org.neo4j.kernel.impl.nioneo.store.PersistenceWindowPool logWarn WARNING: [neo4j-store-1M\neostore.propertystore.db.strings] Unable to allocate direct buffer" Guys! Help me plzzz, what I did wrong, how can I repair it? Tested on platform Windows XP 32bit SP3. Maybe solution within creation custom configuration? thnx 4 every advice!

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.Net opening and clossing database connections

- by Dan

I currently designed the data access portion of our framework so that every time a business object needed to interact with the database it would have to open a connection, invoke the data access layer (to execute the query), and then close the connection. Then if it needed to run in a transaction it would open the connection, begin the transaction, invoke the data access layer (to execute the query) and then commit the transaction, close the transaction, and finally close the connection. I did it this way with the mindset of open late and close early...but what if I needed to call other BO's to submit data in a single transaction? Is there a better way to handle opening and closing connections as well as working with transactions? I'm a rookie at architecting applications so I hope I'm not doing this wrong...any help is appreciated.

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Atomikos with Hibernate will exhaust db connections

- by peter

I am testing an application (Spring 2.5, Hibernate 3.5.0 Beta, Atomikos 3.6.2, and Postgreql 8.4.2) with the configuration for the DAO listed below. The problem that I see is that the pool of 10 connections with the dataSource gets exhausted after the 10's transaction. I know 'hibernate.connection.release_mode' has no effect unless the session is obtained with openSession rather then using a contextual session. I am wandering if anyone has found a way to instruct atomikos code to release connections after any transaction. Thank you Peter <bean id="dataSource" class="com.atomikos.jdbc.AtomikosDataSourceBean" init-method="init" destroy-method="close"> <property name="uniqueResourceName"><value>XADBMS</value></property> <property name="xaDataSourceClassName"> <value>org.postgresql.xa.PGXADataSource</value> </property> <property name="xaProperties"> <props> <prop key="databaseName">${jdbc.name}</prop> <prop key="serverName">${jdbc.server}</prop> <prop key="portNumber">${jdbc.port}</prop> <prop key="user">${jdbc.username}</prop> <prop key="password">${jdbc.password}</prop> </props> </property> <property name="poolSize"><value>10</value></property> </bean> <bean id="sessionFactory" class="org.springframework.orm.hibernate3.LocalSessionFactoryBean"> <property name="dataSource"> <ref bean="dataSource" /> </property> <property name="mappingResources"> <list> <value>Abc.hbm.xml</value> </list> </property> <property name="hibernateProperties"> <props> <prop key="hibernate.dialect">org.hibernate.dialect.PostgreSQLDialect</prop> <prop key="hibernate.show_sql">on</prop> <prop key="hibernate.format_sql">true</prop> <prop key="hibernate.connection.isolation">3</prop> <prop key="hibernate.current_session_context_class">jta</prop> <prop key="hibernate.transaction.factory_class">org.hibernate.transaction.JTATransactionFactory</prop> <prop key="hibernate.transaction.manager_lookup_class">com.atomikos.icatch.jta.hibernate3.TransactionManagerLookup</prop> <prop key="hibernate.connection.release_mode">auto</prop> <prop key="hibernate.current_session_context_class">org.hibernate.context.JTASessionContext</prop> <prop key="hibernate.transaction.auto_close_session">true</prop> </props> </property> </bean>  <bean id="userTransactionService" class="com.atomikos.icatch.config.UserTransactionServiceImp" init-method="init" destroy-method="shutdownForce"> <constructor-arg> <props> <prop key="com.atomikos.icatch.service"> com.atomikos.icatch.standalone.UserTransactionServiceFactory </prop> </props> </constructor-arg> </bean>  <bean id="AtomikosTransactionManager" class="com.atomikos.icatch.jta.UserTransactionManager" init-method="init" destroy-method="close" depends-on="userTransactionService"> <property name="forceShutdown" value="false" /> </bean>  <bean id="AtomikosUserTransaction" class="com.atomikos.icatch.jta.UserTransactionImp" depends-on="userTransactionService"> <property name="transactionTimeout" value="300" /> </bean>  <bean id="txManager" class="org.springframework.transaction.jta.JtaTransactionManager" depends-on="userTransactionService"> <property name="transactionManager" ref="AtomikosTransactionManager" /> <property name="userTransaction" ref="AtomikosUserTransaction" /> </bean>  <tx:advice id="txAdvice" transaction-manager="txManager"> <tx:attributes>  <tx:method name="get*" read-only="true" propagation="REQUIRED"/>  <tx:method name="*" propagation="REQUIRED"/> </tx:attributes> </tx:advice> <aop:config> <aop:advisor pointcut="execution(* *.*.AbcDao.*(..))" advice-ref="txAdvice"/> </aop:config>  <bean id="abcDao" class="test.dao.impl.HibernateAbcDao" scope="singleton"> <property name="sessionFactory" ref="sessionFactory"/> </bean>

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Simple MySQL Query taking 45 seconds (Gets a record and its "latest" child record)

- by Brian Lacy

I have a query which gets a customer and the latest transaction for that customer. Currently this query takes over 45 seconds for 1000 records. This is especially problematic because the script itself may need to be executed as frequently as once per minute! I believe using subqueries may be the answer, but I've had trouble constructing it to actually give me the results I need. SELECT customer.CustID, customer.leadid, customer.Email, customer.FirstName, customer.LastName, transaction.*, MAX(transaction.TransDate) AS LastTransDate FROM customer INNER JOIN transaction ON transaction.CustID = customer.CustID WHERE customer.Email = '".$email."' GROUP BY customer.CustID ORDER BY LastTransDate LIMIT 1000 I really need to get this figured out ASAP. Any help would be greatly appreciated!

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.Net opening and closing database connections

- by Dan

I designed the data access portion of our framework so that every time a business object needs to interact with the database it would have to open a connection, invoke the data access layer (to execute the query), and then close the connection. Then if it needed to run in a transaction it would open the connection, begin the transaction, invoke the data access layer (to execute the query) and then commit the transaction, close the transaction, and finally close the connection. I did it this way with the mindset of open late and close early... but what if I needed to call other BO's to submit data in a single transaction? Is there a better way to handle opening and closing connections as well as working with transactions? I'm a rookie in designing application architecture so I hope I'm not doing this wrongly... any help is appreciated.

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Multiple Table Joins to Improve Performance?

- by EdenMachine

If I have a table structure like this: Transaction [TransID, ...] Document [DocID, TransID, ...] Signer [SignerID, ...] Signature [SigID, DocID, SignerID, ...] And the business logic is like this: Transactions can have multiple documents Documents can have multiple signatures And the same signer can have multiple signatures in multiple documents within the same transaction So, now to my actual question: If I wanted to find all the documents in a particular transaction, would it be better, performance-wise, if I also stored the TransID and the DocID in the Signer table as well so I have smaller joins. Otherwise, I'd have to join through the Signature Document Transaction Documents to get all the documents in the transaction for that signer. I think it's really messy to have that many relationships in the Signer table though and it doesn't seem "correct" to do it that way (also seems like an update nightmare) but I can see that it might be better performance for direct joins. Thoughts? TIA!

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INSERT SELECT Statement and Rollback SQL

- by Juan Perez

Im Working on a creation of a query who uses INSERT SELECT statement using MS SQL Server 2008: INSERT INTO TABLE1 (col1, col2) SELECT col1, col2 FROM TABLE2 Right now the excecution of this query is inside a transaction: Pseudocode: try { begin transaction; query; commit; } catch { rollback; } If TABLE2 has around 40m of rows, at the moment of making the insert on the TABLE1, if there is an error in the middle of the INSERT, will the INSERT SELECT statement make a rollback itself or I need to use a transaction to preserve data integrity? It is necessary to use a transaction? or SQL SERVER it self uses a transaction for this type of sentences.

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Do you know of a C dictionary that supports COW transactions?

- by Tim Post

I'm looking for a key - value dictionary library written in C that supports a theoretically unlimited number of cheap transactions. I'd like to have one dictionary in memory, with hundreds of threads starting transactions, possibly modifying the dictionary, ending (completing) the transaction or potentially aborting the transaction. Only 50% of the time will these threads actually modify the dictionary. Most dictionary transaction implementations that I've seen copy always, instead of copying on write, whenever a transaction is started. Given the expected size ( 1GB) of the dictionary, I'm hoping to find something that COWs only when something is actually changed during a transaction. I'm also hoping for something that is packaged by most major GNU/Linux distributions. Any suggestions or links are very much appreciated.

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Does the order of the columns in a SELECT statement make a difference?

- by Frank Computer

This question was inspired by a previous question posted on SO, "Does the order of the WHERE clause make a differnece?". Would it improve a SELECT statement's performance if the the columns used in the WHERE section are placed at the begining of the SELECT statement? example: SELECT customer.id, transaction.id, transaction.efective_date, transaction.a, [...] FROM customer, transaction WHERE customer.id = transaction.id; I do know that limiting the list of columns to only the needed ones in a SELECT statement improves performance as opposed to using SELECT * because the current list is smaller.

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SqlCE Flush Interval - Will the default setting lead to corruption?

- by NormD

SqlCE has a parameter set on the Connect String called Flush Interval. It is defined as: The interval time (in seconds) before all committed transactions are flushed to disk. If not specified, the default value is 10. I thought that a committed transaction, by definition, is a transaction that has been flushed to disk, specifically the database file. If a transaction is only stored in RAM then cannot the transaction be easily lost? I thought that transactions were first written to a log file and then applied to the database file itself, so perhaps this parameter could mean the time to wait until the transaction log is applied to the database file? I would have thought that this parameter should be 0.

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SQL – Quick Start with Admin Sections of NuoDB – Manage NuoDB Database

- by Pinal Dave

In the yesterday’s blog post we have seen that it is extremely easy to install the NuoDB database on your local machine. Now that the application is properly set up, let us explore NuoDB a bit more and get you familiar with the how it works and what the important areas of the NuoDB are that you should learn. As we have already installed NuoDB, now we will quickly start with two of the important areas in NuoDB: 1) Admin and 2) Explorer. In this blog post I will explore how the Admin Section of the NuoDB Console works. In the next blog post we will learn how the Explorer Section works. Let us go to the NuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the following screen: On this screen you can see a big Start QuickStart button. Click on the button and it will bring you to following screen. On this screen you will find very important information about Domain and Database Settings. It is our habit that we do not read what is written on the screen and keep on clicking on continue without reading. While we are familiar with most wizards, we can often miss the very important message on the screen. Please note the information of Domain Settings and Database Settings from the following screen before clicking on Create Database. Domain Settings User: quickstart Password: quickstart Database Settings User: dba Password: goalie Database: test Schema: HOCKEY Once you click on the Create Database button it will immediately start creating sample database. First, it will start a Storage Manager and right after that it will start a Transaction Engine. Once the engine is up, it will Create a Schema and Sample Data. On the success of the creating the sample database it will show the following screen. Now is the time where we can explore the NuoDB Admin or NuoDB Explorer. If you click on Admin, it will first show following login screen. Enter for the username “domain” and for the password “bird”. Alternatively you can enter “quickstart” twice for username and password. It works as too. Once you enter into the Admin Section, on the left side you can see information about NuoDB and Admin Console and on the right side you can see the domain overview area. From this Administrative section you can do any of the following tasks: Create a view of the entire domain Add and remove databases Start and stop NuoDB Transaction Engines and Storage Managers Monitor transaction across all the NuoDB databases On the right side of the Admin Section we can see various information about a particular NuoDB domain. You can quickly view various alerts, find out information about the number of host machines that are provisioned for the domain, and see the number of databases and processes that are running in the domain. If you click on the “1 host” link you will be able to see various processes, CPU usage and other information. In the Processes Section you can see that there are two different types of processes. The first process (where you can see the floppy drive icon) represents a running Storage Manager process and the second process a running Transaction Engine process. You can click on the links for the Storage Manager and Transaction Engine to see further statistical details right down to the last byte of the data. There are various charts available for analysis as well. I think the product is quite mature and the user can add different monitor charts to the Admin section. Additionally, the Admin section is the place where you can create and manage new databases. I hope today’s tutorial gives you enough confidence that you can try out NuoDB and checkout various administrative activities with the database. I am personally impressed with their dashboard related to various counters. For more information about how the NuoDB architecture works and what a Storage Manager or Transaction Engine does, check out this short video with NuoDB CTO Seth Proctor: In the next blog post, we will try out the Explorer section of NuoDB, which allows us to run SQL queries and write SQL code. Meanwhile, I strongly suggest you download and install NuoDB and get yourself familiar with the product. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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SQL analytical mash-ups deliver real-time WOW! for big data

- by KLaker

One of the overlooked capabilities of SQL as an analysis engine, because we all just take it for granted, is that you can mix and match analytical features to create some amazing mash-ups. As we move into the exciting world of big data these mash-ups can really deliver those "wow, I never knew that" moments. While Java is an incredibly flexible and powerful framework for managing big data there are some significant challenges in using Java and MapReduce to drive your analysis to create these "wow" discoveries. One of these "wow" moments was demonstrated at this year's OpenWorld during Andy Mendelsohn's general keynote session. Here is the scenario - we are looking for fraudulent activities in our big data stream and in this case we identifying potentially fraudulent activities by looking for specific patterns. We using geospatial tagging of each transaction so we can create a real-time fraud-map for our business users. Where we start to move towards a "wow" moment is to extend this basic use of spatial and pattern matching, as shown in the above dashboard screen, to incorporate spatial analytics within the SQL pattern matching clause. This will allow us to compute the distance between transactions. Apologies for the quality of this screenshot….hopefully below you see where we have extended our SQL pattern matching clause to use location of each transaction and to calculate the distance between each transaction: This allows us to compare the time of the last transaction with the time of the current transaction and see if the distance between the two points is possible given the time frame. Obviously if I buy something in Florida from my favourite bike store (may be a new carbon saddle for my Trek) and then 5 minutes later the system sees my credit card details being used in Arizona there is high probability that this transaction in Arizona is actually fraudulent (I am fast on my Trek but not that fast!) and we can flag this up in real-time on our dashboard: In this post I have used the term "real-time" a couple of times and this is an important point and one of the key reasons why SQL really is the only language to use if you want to analyse big data. One of the most important questions that comes up in every big data project is: how do we do analysis? Many enlightened customers are now realising that using Java-MapReduce to deliver analysis does not result in "wow" moments. These "wow" moments only come with SQL because it is offers a much richer environment, it is simpler to use and it is faster - which makes it possible to deliver real-time "Wow!". Below is a slide from Andy's session showing the results of a comparison of Java-MapReduce vs. SQL pattern matching to deliver our "wow" moment during our live demo. You can watch our analytical mash-up "Wow" demo that compares the power of 12c SQL pattern matching + spatial analytics vs. Java-MapReduce here: You can get more information about SQL Pattern Matching on our SQL Analytics home page on OTN, see here http://www.oracle.com/technetwork/database/bi-datawarehousing/sql-analytics-index-1984365.html. You can get more information about our spatial analytics here: http://www.oracle.com/technetwork/database-options/spatialandgraph/overview/index.html If you would like to watch the full Database 12c OOW presentation see here: http://medianetwork.oracle.com/video/player/2686974264001

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Hibernate + PostgreSQL : relation does not exist - SQL Error: 0, SQLState: 42P01

- by tommy599

Hello, I am having some problems trying to work with PostgreSQL and Hibernate, more specifically, the issue mentioned in the title. I've been searching the net for a few hours now but none of the found solutions worked for me. I am using Eclipse Java EE IDE for Web Developers. Build id: 20090920-1017 with HibernateTools, Hibernate 3, PostgreSQL 8.4.3 on Ubuntu 9.10. Here are the relevant files: Message.class package hello; public class Message { private Long id; private String text; public Message() { } public Long getId() { return id; } public void setId(Long id) { this.id = id; } public String getText() { return text; } public void setText(String text) { this.text = text; } } Message.hbm.xml <?xml version="1.0"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd"> <hibernate-mapping package="hello"> <class name="Message" table="public.messages"> <id name="id" column="id"> <generator class="assigned"/> </id> <property name="text" column="messagetext"/> </class> </hibernate-mapping> hibernate.cfg.xml <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE hibernate-configuration PUBLIC "-//Hibernate/Hibernate Configuration DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-configuration-3.0.dtd"> <hibernate-configuration> <session-factory> <property name="hibernate.connection.driver_class">org.postgresql.Driver</property> <property name="hibernate.connection.password">bar</property> <property name="hibernate.connection.url">jdbc:postgresql:postgres/tommy</property> <property name="hibernate.connection.username">foo</property> <property name="hibernate.dialect">org.hibernate.dialect.PostgreSQLDialect</property> <property name="show_sql">true</property> <property name="log4j.logger.org.hibernate.type">DEBUG</property> <mapping resource="hello/Message.hbm.xml"/> </session-factory> </hibernate-configuration> Main package hello; import org.hibernate.Session; import org.hibernate.SessionFactory; import org.hibernate.Transaction; import org.hibernate.cfg.Configuration; public class App { public static void main(String[] args) { SessionFactory sessionFactory = new Configuration().configure() .buildSessionFactory(); Message message = new Message(); message.setText("Hello Cruel World"); message.setId(2L); Session session = null; Transaction transaction = null; try { session = sessionFactory.openSession(); transaction = session.beginTransaction(); session.save(message); } catch (Exception e) { System.out.println("Exception attemtping to Add message: " + e.getMessage()); } finally { if (session != null && session.isOpen()) { if (transaction != null) transaction.commit(); session.flush(); session.close(); } } } } Table structure: foo=# \d messages Table "public.messages" Column | Type | Modifiers -------------+---------+----------- id | integer | messagetext | text | Eclipse console output when I run it Apr 28, 2010 11:13:53 PM org.hibernate.cfg.Environment <clinit> INFO: Hibernate 3.5.1-Final Apr 28, 2010 11:13:53 PM org.hibernate.cfg.Environment <clinit> INFO: hibernate.properties not found Apr 28, 2010 11:13:53 PM org.hibernate.cfg.Environment buildBytecodeProvider INFO: Bytecode provider name : javassist Apr 28, 2010 11:13:53 PM org.hibernate.cfg.Environment <clinit> INFO: using JDK 1.4 java.sql.Timestamp handling Apr 28, 2010 11:13:53 PM org.hibernate.cfg.Configuration configure INFO: configuring from resource: /hibernate.cfg.xml Apr 28, 2010 11:13:53 PM org.hibernate.cfg.Configuration getConfigurationInputStream INFO: Configuration resource: /hibernate.cfg.xml Apr 28, 2010 11:13:53 PM org.hibernate.cfg.Configuration addResource INFO: Reading mappings from resource : hello/Message.hbm.xml Apr 28, 2010 11:13:54 PM org.hibernate.cfg.HbmBinder bindRootPersistentClassCommonValues INFO: Mapping class: hello.Message -> public.messages Apr 28, 2010 11:13:54 PM org.hibernate.cfg.Configuration doConfigure INFO: Configured SessionFactory: null Apr 28, 2010 11:13:54 PM org.hibernate.connection.DriverManagerConnectionProvider configure INFO: Using Hibernate built-in connection pool (not for production use!) Apr 28, 2010 11:13:54 PM org.hibernate.connection.DriverManagerConnectionProvider configure INFO: Hibernate connection pool size: 20 Apr 28, 2010 11:13:54 PM org.hibernate.connection.DriverManagerConnectionProvider configure INFO: autocommit mode: false Apr 28, 2010 11:13:54 PM org.hibernate.connection.DriverManagerConnectionProvider configure INFO: using driver: org.postgresql.Driver at URL: jdbc:postgresql:postgres/tommy Apr 28, 2010 11:13:54 PM org.hibernate.connection.DriverManagerConnectionProvider configure INFO: connection properties: {user=foo, password=****} Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: RDBMS: PostgreSQL, version: 8.4.3 Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: JDBC driver: PostgreSQL Native Driver, version: PostgreSQL 8.4 JDBC4 (build 701) Apr 28, 2010 11:13:54 PM org.hibernate.dialect.Dialect <init> INFO: Using dialect: org.hibernate.dialect.PostgreSQLDialect Apr 28, 2010 11:13:54 PM org.hibernate.engine.jdbc.JdbcSupportLoader useContextualLobCreation INFO: Disabling contextual LOB creation as createClob() method threw error : java.lang.reflect.InvocationTargetException Apr 28, 2010 11:13:54 PM org.hibernate.transaction.TransactionFactoryFactory buildTransactionFactory INFO: Using default transaction strategy (direct JDBC transactions) Apr 28, 2010 11:13:54 PM org.hibernate.transaction.TransactionManagerLookupFactory getTransactionManagerLookup INFO: No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Automatic flush during beforeCompletion(): disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Automatic session close at end of transaction: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: JDBC batch size: 15 Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: JDBC batch updates for versioned data: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Scrollable result sets: enabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: JDBC3 getGeneratedKeys(): enabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Connection release mode: auto Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Default batch fetch size: 1 Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Generate SQL with comments: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Order SQL updates by primary key: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Order SQL inserts for batching: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory createQueryTranslatorFactory INFO: Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory Apr 28, 2010 11:13:54 PM org.hibernate.hql.ast.ASTQueryTranslatorFactory <init> INFO: Using ASTQueryTranslatorFactory Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Query language substitutions: {} Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: JPA-QL strict compliance: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Second-level cache: enabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Query cache: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory createRegionFactory INFO: Cache region factory : org.hibernate.cache.impl.NoCachingRegionFactory Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Optimize cache for minimal puts: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Structured second-level cache entries: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Echoing all SQL to stdout Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Statistics: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Deleted entity synthetic identifier rollback: disabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Default entity-mode: pojo Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Named query checking : enabled Apr 28, 2010 11:13:54 PM org.hibernate.cfg.SettingsFactory buildSettings INFO: Check Nullability in Core (should be disabled when Bean Validation is on): enabled Apr 28, 2010 11:13:54 PM org.hibernate.impl.SessionFactoryImpl <init> INFO: building session factory Apr 28, 2010 11:13:55 PM org.hibernate.impl.SessionFactoryObjectFactory addInstance INFO: Not binding factory to JNDI, no JNDI name configured Hibernate: insert into public.messages (messagetext, id) values (?, ?) Apr 28, 2010 11:13:55 PM org.hibernate.util.JDBCExceptionReporter logExceptions WARNING: SQL Error: 0, SQLState: 42P01 Apr 28, 2010 11:13:55 PM org.hibernate.util.JDBCExceptionReporter logExceptions SEVERE: Batch entry 0 insert into public.messages (messagetext, id) values ('Hello Cruel World', '2') was aborted. Call getNextException to see the cause. Apr 28, 2010 11:13:55 PM org.hibernate.util.JDBCExceptionReporter logExceptions WARNING: SQL Error: 0, SQLState: 42P01 Apr 28, 2010 11:13:55 PM org.hibernate.util.JDBCExceptionReporter logExceptions SEVERE: ERROR: relation "public.messages" does not exist Position: 13 Apr 28, 2010 11:13:55 PM org.hibernate.event.def.AbstractFlushingEventListener performExecutions SEVERE: Could not synchronize database state with session org.hibernate.exception.SQLGrammarException: Could not execute JDBC batch update at org.hibernate.exception.SQLStateConverter.convert(SQLStateConverter.java:92) at org.hibernate.exception.JDBCExceptionHelper.convert(JDBCExceptionHelper.java:66) at org.hibernate.jdbc.AbstractBatcher.executeBatch(AbstractBatcher.java:275) at org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:263) at org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:179) at org.hibernate.event.def.AbstractFlushingEventListener.performExecutions(AbstractFlushingEventListener.java:321) at org.hibernate.event.def.DefaultFlushEventListener.onFlush(DefaultFlushEventListener.java:51) at org.hibernate.impl.SessionImpl.flush(SessionImpl.java:1206) at org.hibernate.impl.SessionImpl.managedFlush(SessionImpl.java:375) at org.hibernate.transaction.JDBCTransaction.commit(JDBCTransaction.java:137) at hello.App.main(App.java:31) Caused by: java.sql.BatchUpdateException: Batch entry 0 insert into public.messages (messagetext, id) values ('Hello Cruel World', '2') was aborted. Call getNextException to see the cause. at org.postgresql.jdbc2.AbstractJdbc2Statement$BatchResultHandler.handleError(AbstractJdbc2Statement.java:2569) at org.postgresql.core.v3.QueryExecutorImpl$1.handleError(QueryExecutorImpl.java:459) at org.postgresql.core.v3.QueryExecutorImpl.processResults(QueryExecutorImpl.java:1796) at org.postgresql.core.v3.QueryExecutorImpl.execute(QueryExecutorImpl.java:407) at org.postgresql.jdbc2.AbstractJdbc2Statement.executeBatch(AbstractJdbc2Statement.java:2708) at org.hibernate.jdbc.BatchingBatcher.doExecuteBatch(BatchingBatcher.java:70) at org.hibernate.jdbc.AbstractBatcher.executeBatch(AbstractBatcher.java:268) ... 8 more Exception in thread "main" org.hibernate.exception.SQLGrammarException: Could not execute JDBC batch update at org.hibernate.exception.SQLStateConverter.convert(SQLStateConverter.java:92) at org.hibernate.exception.JDBCExceptionHelper.convert(JDBCExceptionHelper.java:66) at org.hibernate.jdbc.AbstractBatcher.executeBatch(AbstractBatcher.java:275) at org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:263) at org.hibernate.engine.ActionQueue.executeActions(ActionQueue.java:179) at org.hibernate.event.def.AbstractFlushingEventListener.performExecutions(AbstractFlushingEventListener.java:321) at org.hibernate.event.def.DefaultFlushEventListener.onFlush(DefaultFlushEventListener.java:51) at org.hibernate.impl.SessionImpl.flush(SessionImpl.java:1206) at org.hibernate.impl.SessionImpl.managedFlush(SessionImpl.java:375) at org.hibernate.transaction.JDBCTransaction.commit(JDBCTransaction.java:137) at hello.App.main(App.java:31) Caused by: java.sql.BatchUpdateException: Batch entry 0 insert into public.messages (messagetext, id) values ('Hello Cruel World', '2') was aborted. Call getNextException to see the cause. at org.postgresql.jdbc2.AbstractJdbc2Statement$BatchResultHandler.handleError(AbstractJdbc2Statement.java:2569) at org.postgresql.core.v3.QueryExecutorImpl$1.handleError(QueryExecutorImpl.java:459) at org.postgresql.core.v3.QueryExecutorImpl.processResults(QueryExecutorImpl.java:1796) at org.postgresql.core.v3.QueryExecutorImpl.execute(QueryExecutorImpl.java:407) at org.postgresql.jdbc2.AbstractJdbc2Statement.executeBatch(AbstractJdbc2Statement.java:2708) at org.hibernate.jdbc.BatchingBatcher.doExecuteBatch(BatchingBatcher.java:70) at org.hibernate.jdbc.AbstractBatcher.executeBatch(AbstractBatcher.java:268) ... 8 more PostgreSQL log file 2010-04-28 23:13:55 EEST LOG: execute S_1: BEGIN 2010-04-28 23:13:55 EEST ERROR: relation "public.messages" does not exist at character 13 2010-04-28 23:13:55 EEST STATEMENT: insert into public.messages (messagetext, id) values ($1, $2) 2010-04-28 23:13:55 EEST LOG: unexpected EOF on client connection If I copy/paste the query into the postgre command line and put the values in and ; after it, it works. Everything is lowercase, so I don't think that it's that issue. If I switch to MySQL, the same code same project (I only change driver,URL, authentication), it works. In Eclipse Datasource Explorer, I can ping the DB and it succeeds. Weird thing is that I can't see the tables from there either. It expands the public schema but it doesn't expand the tables. Could it be some permission issue? Thanks!

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quartz throws deadlocks under load

- by Khandelwal

We are using Quartz with Spring and our configuration is throwing deadlocks when quartz has more than 1 thread configured. I'm starting to believe that it's because we don't have our quartz configured correctly with Spring, but I can't find enough documentation on how to configure the two to play nicely. We are running on both Windows and Linux environments - pointing at MSSQL and Oracle DBs. With both OS, using either DB, we can throw the following deadlock errors... We're consistently throwing these deadlock errors. We run under heavy load, inserting hundreds of quartz triggers in a matter of minutes. 2010-03-17 18:52:31,737 [] [] ERROR [DFScheduler_Worker-42] core.ErrorLogger core.ErrorLogger (QuartzScheduler.java:2185) - An error occured while marking executed job complete. job= 'BPM.6e41a6567f0000020100362a51dc7a50' org.quartz.JobPersistenceException: Couldn't remove trigger: Transaction (Process ID 87) was deadlocked on lock resources with another process and has been chosen as the deadlock victim. Rerun the transaction. [See nested exception: com.microsoft.sqlserver.jdbc.SQLServerException: Transaction (Process ID 87) was deadlocked on lock resources with another process and has been chosen as the deadlock victim. Rerun the transaction.] at org.quartz.impl.jdbcjobstore.JobStoreSupport.removeTrigger(JobStoreSupport.java:1469)at org.quartz.impl.jdbcjobstore.JobStoreSupport.triggeredJobComplete(JobStoreSupport.java:2978)at org.quartz.impl.jdbcjobstore.JobStoreSupport$39.execute(JobStoreSupport.java:2962) at org.quartz.impl.jdbcjobstore.JobStoreSupport$41.execute(JobStoreSupport.java:3713)at org.quartz.impl.jdbcjobstore.JobStoreSupport.executeInNonManagedTXLock(JobStoreSupport.java:3747) at org.quartz.impl.jdbcjobstore.JobStoreSupport.executeInNonManagedTXLock(JobStoreSupport.java:3709)at org.quartz.impl.jdbcjobstore.JobStoreSupport.triggeredJobComplete(JobStoreSupport.java:2958)at org.quartz.core.QuartzScheduler.notifyJobStoreJobComplete(QuartzScheduler.java:1727)at org.quartz.core.JobRunShell.run(JobRunShell.java:273) at org.quartz.simpl.SimpleThreadPool$WorkerThread.run(SimpleThreadPool.java:534) Caused by: com.microsoft.sqlserver.jdbc.SQLServerException: Transaction (Process ID 87) was deadlocked on lock resources with another process and has been chosen as the deadlock victim. Rerun the transaction. at com.microsoft.sqlserver.jdbc.SQLServerException.makeFromDatabaseError(Unknown Source at com.microsoft.sqlserver.jdbc.SQLServerStatement.getNextResult(Unknown Source) at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.doExecutePreparedStatement(Unknown Source) at ... org.quartz.impl.jdbcjobstore.StdJDBCDelegate.deleteSimpleTrigger(StdJDBCDelegate.java:1820) at org.quartz.impl.jdbcjobstore.JobStoreSupport.deleteTriggerAndChildren(JobStoreSupport.java:1345 at org.quartz.impl.jdbcjobstore.JobStoreSupport.removeTrigger(JobStoreSupport.java:1453 ... 9 more

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RESTful idempotence

- by DutrowLLC

I'm designing a RESTful web service utilizing ROA(Resource oriented architecture). I'm trying to work out an efficient way to guarantee idempotence for PUT requests that create new resources in cases that the server designates the resource key. From my understanding, the traditional approach is to create a type of transaction resource such as /CREATE_PERSON. The the client-server interaction for creating a new person resource would be in two parts: Step 1: Get unique transaction id for creating the new PERSON resource::: **Client request:** GET /CREATE_PERSON **Server response:** 200 OK transaction-id:"as8yfasiob" Step 2: Create the new person resource in a request guaranteed to be unique by using the transaction id::: **Client request** PUT /CREATE_PERSON/{transaction_id} first_name="Big bubba" **Server response** 201 Created // (If the request is a duplicate, it would send this PersonKey="398u4nsdf" // same response without creating a new resource. It // would perhaps send an error response if the was used // on a transaction id non-duplicate request, but I have // control over the client, so I can guarantee that this // won't happen) The problem that I see with this approach is that it requires sending two requests to the server in order to do to single operation of creating a new PERSON resource. This creates a performance issues increasing the chance that the user will be waiting around for the client to complete their request. I've been trying to hash out ideas for eliminating the first step such as pre-sending transaction-id's with each request, but most of my ideas have other issues or involve sacrificing the statelessness of the application. Is there a way to do this?

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Relational database data explorer / visualization?

- by Ian Boyd

Is there a tool that can let one browse relational data as a graph of connected nodes? For example, i'm faced with trying to cleanse some anomolous data. i can start with two offending rows. In this particular example, the TransactionID should, by business rules, be unique to the table, but i find a transaction that violates that rule: SELECT * FROM LCTTrans WHERE TransactionID = 1075048 LCTID TransactionID ========= ============= 4358 1075048 4359 1075048 2 row(s) affected But really what i want to begin to hunt down all the related data, to try to see which is right. So this hypothetical software would start by showing me these two rows: Next, i want to see that transaction that is linked into this table: Now that transaction points to an MAL, so show me that: Now lets add those two LCTs, that the transaction is "on". A transaction can be on only one LCT, yet this one is pointing to two: Okay computer, both of those LCTs point to an MAL and the transaction that created them, show me those: Those last two transactions, they also point at an MAL, and they themselves point to an LCT, show me those: Okay, now are there any entries in LCTTrans that point to LCTs 4358 or 4359?... And so on, and so on. Now i did all this manually, running single selects, copying and pasting uniqueidentifier keys and converting them into friendly id numbers so i could easily see the relationships. Is there software that can do this?

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CakePHP belongsTo relationship with a variable 'model' field.

- by gomezuk

I've got a problem with a belongsTo relationship in CakePHP. I've got an "Action" model that uses the "actions" table and belongs to one of two other models, either "Transaction" or "Tag". The idea being that whenever a user completes a transaction or adds a tag, the action model is created to keep a log of it. I've got that part working, whenever a Transaction or Tag is saved, the aftersave() method also adds an Action record. The problem comes when I try to do a find('all') on the Action model, the related Transaction or Tag record is not being returned. actions: id model model_id created I thought I could use the "conditions" parameter in the belongsTo relationship like this: <?php class Action extends AppModel { var $name = 'Action'; var $actsAs = array('Containable'); var $belongsTo = array( 'Transaction' => array( 'foreignKey' => 'model_id', 'conditions' => array("Action.model"=>"Transaction") ), 'User' => array( 'fields' => array('User.username') ), 'Recommendation' => array( 'conditions' => array("Action.model"=>"Recommendation"), 'foreignKey' => 'model_id' ) ); } ?> But that doesn't work. Am I missing something here, are my relationships wrong (I suspect so)? After Googling this problem I cam across something called Polymorphic Behaviour but I'm not sure this will help me.

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