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    <hr> <ul> <li><em>What i dont find is this? From where is this "run.id" coming from</em></li> </ul> <h2>JobParameters</h2> <p>This is just a parameter that <em>you</em> pass to jobParameters. Usually a different <code>run.id</code> (a conventional name) for each instance is used because the framework has no way of knowing what changes to the JobParameters make it the "next" job instance.</p> <p>You can pass this "run.id" to the jobParameters as:</p> <pre><code>new JobParametersBuilder().addLong("run.id", 1L).toJobParameters() </code></pre> <p>take a look at the <code>JobParametersIncrementer</code>'s <a href="https://docs.spring.io/spring-batch/reference/htmlsingle/index.html#JobParametersIncrementer" rel="nofollow noreferrer">documentation</a> for more details.</p> <hr> <ul> <li><em>how do I pass a common id between the step listener and reader so that each thread will have its own set of records to process</em></li> </ul> <h2>Don't</h2> <p>This is quite a dangerous route, since many participants in a Step (e.g. readers and writers) are stateful, and if the state is not segregated by thread, then those components are not usable in a multi-threaded Step. In particular most of the off-the-shelf readers and writers from Spring Batch are not designed for multi-threaded use.</p> <h2>Partitioning</h2> <p>I would recommend to use <a href="https://docs.spring.io/spring-batch/reference/htmlsingle/index.html#partitioning" rel="nofollow noreferrer">Partitioning</a>. It is a lot simpler than it seems, and you can still <strong>utilize multiple threads for it</strong>. Take a look at the sample batch jobs that use <a href="https://github.com/spring-projects/spring-batch/tree/master/spring-batch-samples#partitioning-sample" rel="nofollow noreferrer">partitioning</a>, which comes from "Spring Batch samples" is there to:</p> <p><em>show multi-threaded step execution using the PartitionHandler SPI. The example uses a TaskExecutorPartitionHandler to spread the work of reading some files <strong>acrosss multiple threads</strong>, with one Step execution per thread. The key components are the PartitionStep and the MultiResourcePartitioner which is responsible for dividing up the work. Notice that the readers and writers in the Step that is being partitioned are step-scoped, so that their state does not get shared across threads of execution.</em></p>
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    1. COThank You.. Your answer was really up to the mark.
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