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Cannot Call Commit When Using Distributed Transactions Hibernate


What is exactly meant by a "data set"? weblogic-ra.xml). Caused by java.sql.SQLException: Cannot call commit when using distributed transactions. ". Accept & Close Sign In Create Account Search among 980,000 solutions Search Your bugs help others We want to create amazing apps without being stopped by crashes. http://electrictricycle.net/cannot-call/cannot-call-commit-when-using-distributed-transactions.html

Is it acceptable to ask an unknown professor for help in a related field during his office hours? I do that and got other error "Cannot call Connection.commit in distributed transaction". Working with Transactions in Oracle SOA Suite Invoking a Secured Webservice from a BPEL 11g proc... A simple MulipleDataSourceTests class just inserts data into two data sources and then uses the Spring integration support features to roll back the transaction, as shown in Listing 1:Listing 1.

Cannot Call Connection.commit In Distributed Transaction Weblogic

It's better to let Spring manage transactions for you than to use APIs such as JTA or Hibernate or JDBC directly to do tx mgt. This article includes a sample application (the atomikos-db project) that illustrates this configuration. All commenting, posting, registration services have been turned off. Seems like you are using a mixed strategy of Local and JTA transactions.

Broken down into a timeline, a successful interaction goes something like this:Start messaging transactionReceive messageStart database transactionUpdate databaseCommit database transactionCommit messaging transactionIf a database error such as a constraint violation occurred Messaging-middleware systems need to store their data somewhere, often in a relational database. The data source was configured to use an XA driver. 1. You may need to change your datasource to point to a connection pool that does not use XA drivers.

Any experts can give us some advice? can somebody please help me out with the solution ASAP ? Redis module speeds Spark-powered machine learning The newly released Redis-ML component for the popular in-memory data store accelerates machine learning...