atomikos

Spring boot + Spring Data JPA + Atomikos + Multiple databases configuration

瘦欲@ 提交于 2019-12-03 04:27:16
问题 With this configuration (MainConfig.java): import javax.transaction.TransactionManager; import javax.transaction.UserTransaction; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.ComponentScan; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.DependsOn; import org.springframework.orm.jpa.JpaVendorAdapter; import org.springframework.orm.jpa.vendor.Database; import org.springframework.orm

Spring boot + Spring Data JPA + Atomikos + Multiple databases configuration

匿名 (未验证) 提交于 2019-12-03 02:45:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: With this configuration (MainConfig.java): import javax.transaction.TransactionManager; import javax.transaction.UserTransaction; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.ComponentScan; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.DependsOn; import org.springframework.orm.jpa.JpaVendorAdapter; import org.springframework.orm.jpa.vendor.Database; import org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter; import org

Atomikos vs JOTM vs Bitronix vs? [closed]

匿名 (未验证) 提交于 2019-12-03 01:49:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: I am new to JTA and it's underlying transaction managers. Can anyone explain the pros/cons of each of these? Feel free to add others I didn't list in title. Also, don't the major applications servers (WebSphere, JBoss, Glassfish) have their own JTA compliant transaction manager? In those environments, would you still use these third party implementations? 回答1: I am new to JTA and it's underlying transaction managers. Can anyone explain the pros/cons of each of these? Feel free to add others I didn't list in title. Standalone transaction

WebSphere MQ and Atomikos - Messages Lost on process termination

匿名 (未验证) 提交于 2019-12-03 01:20:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 由 翻译 强力驱动 问题: My app (a spring message listener) reads from a queue and writes to the database in a single transaction. I use Atomikos to provide the XA transaction behaviour. When the app is abruptly terminated with kill statements for example, I see messages are lost. Is there any specific configuration I need to use? Should the queues be persistent? Currently the queues are non-persistent. My MQ version is v7.1. Spring config for listener container looks like: <bean id = "listenerContainer" class = "com.miax.test.TestListenerMDPImpl" autowire

Spring boot + Spring Data JPA + Atomikos + Multiple databases configuration

假装没事ソ 提交于 2019-12-02 17:41:56
With this configuration (MainConfig.java): import javax.transaction.TransactionManager; import javax.transaction.UserTransaction; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.ComponentScan; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.DependsOn; import org.springframework.orm.jpa.JpaVendorAdapter; import org.springframework.orm.jpa.vendor.Database; import org.springframework.orm.jpa.vendor.HibernateJpaVendorAdapter; import org.springframework.transaction.PlatformTransactionManager

Issue with configuring Atomikos on a Spring Boot / Spring Batch application

丶灬走出姿态 提交于 2019-12-02 01:56:39
问题 I am trying to get Atomikos to work with my Spring Boot/Spring Batch application. Here is are the relevant portions of my code: Datasource config: @Configuration public class DatasourceConfiguration extends AbstractCloudConfig { @Bean @Qualifier("batch_database") public DataSource batchDatasource() { return connectionFactory().dataSource("batch_database"); } @Bean public PlatformTransactionManager transactionManager(){ return new JtaTransactionManager(); } @Bean public TaskConfigurer

Issue with configuring Atomikos on a Spring Boot / Spring Batch application

*爱你&永不变心* 提交于 2019-12-01 20:58:21
I am trying to get Atomikos to work with my Spring Boot/Spring Batch application. Here is are the relevant portions of my code: Datasource config: @Configuration public class DatasourceConfiguration extends AbstractCloudConfig { @Bean @Qualifier("batch_database") public DataSource batchDatasource() { return connectionFactory().dataSource("batch_database"); } @Bean public PlatformTransactionManager transactionManager(){ return new JtaTransactionManager(); } @Bean public TaskConfigurer configurer(){ return new DefaultTaskConfigurer(batchDatasource()); } } Atomikos auto-config dependency: compile

change jta transaction timeout from default to custom

霸气de小男生 提交于 2019-12-01 06:43:49
I am using Atomikos for JTA transaction. I have following setting for JTA: UserTransactionImp userTransactionImp = new UserTransactionImp(); userTransactionImp.setTransactionTimeout(900); but when my code perform JTA transaction, then if it takes more than 5 minutes (which is default value) then it throws exception: Caused by: com.atomikos.icatch.RollbackException: Prepare: NO vote at com.atomikos.icatch.imp.ActiveStateHandler.prepare(ActiveStateHandler.java:231) at com.atomikos.icatch.imp.CoordinatorImp.prepare(CoordinatorImp.java:681) at com.atomikos.icatch.imp.CoordinatorImp.terminate

分布式事务解决方案

て烟熏妆下的殇ゞ 提交于 2019-11-29 07:50:49
第一阶段:预提交 第二阶段:回滚或者提交事务 --------------------------------------------------------- 简介:atomikos https://www.jianshu.com/p/86b4ab4f2d18 atomikos原理: 补偿机制:中间过渡状态,然后提交状态 其他方案: 消息方案 来源: https://my.oschina.net/u/3915790/blog/3103276

Performance tuning of Distributed ( XA ) transaction - How?

巧了我就是萌 提交于 2019-11-28 14:18:38
In relation to another post of mine , I realized that there is more we can say on stackoverflow in relation to the Distributed, XA transactions and its internals. Common opinion is that distributed transactions are slow. What are the XA transactions internals and how can we tune them ? First lets put some common vocabulary. We have two or more parties Transaction Coordinator this is where our business logic resides. This is the side that orchestrates the distributed transaction. Transaction Participant (XAResource) this can be any Dababase supporting distributed transactions or some other