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Lijie Wang closed FLINK-26330. ------------------------------ > Test Adaptive Batch Scheduler manually > -------------------------------------- > > Key: FLINK-26330 > URL: https://issues.apache.org/jira/browse/FLINK-26330 > Project: Flink > Issue Type: Sub-task > Components: Runtime / Coordination > Reporter: Lijie Wang > Assignee: Niklas Semmler > Priority: Blocker > Labels: release-testing > Fix For: 1.15.0 > > > Documentation: [https://github.com/apache/flink/pull/18757] > Run DataStream / SQL batch jobs with Adaptive Batch Scheduler and verifiy: > 1. Whether the automatically decided parallelism is correct > 2. Whether the job result is correct > > *For example:* > {code:java} > final Configuration configuration = new Configuration(); > configuration.set( > JobManagerOptions.SCHEDULER, > JobManagerOptions.SchedulerType.AdaptiveBatch); > configuration.setInteger( > JobManagerOptions.ADAPTIVE_BATCH_SCHEDULER_MAX_PARALLELISM, 4); > configuration.set( > JobManagerOptions.ADAPTIVE_BATCH_SCHEDULER_DATA_VOLUME_PER_TASK, > MemorySize.parse("8kb")); > configuration.setInteger("parallelism.default", -1); > final StreamExecutionEnvironment env = > StreamExecutionEnvironment.createLocalEnvironment(configuration); > env.setRuntimeMode(RuntimeExecutionMode.BATCH); > env.fromSequence(0, 1000).setParallelism(1) > .keyBy(num -> num % 10) > .sum(0) > .addSink(new PrintSinkFunction<>()); > env.execute(); {code} > You can run above job and check: > > 1. The parallelism of "Keyed Aggregation -> Sink: Unnamed" should be 3. > Jobmanager logs show following logs: > {code:java} > Parallelism of JobVertex: Keyed Aggregation -> Sink: Unnamed > (20ba6b65f97481d5570070de90e4e791) is decided to be 3. {code} > 2. The job result should be: > {code:java} > 50500 > 49600 > 49700 > 49800 > 49900 > 50000 > 50100 > 50200 > 50300 > 50400 {code} > > You can change the amout of data produced by source and config options of > adaptive batch scheduler according your wishes. -- This message was sent by Atlassian Jira (v8.20.1#820001)