[
https://issues.apache.org/jira/browse/BEAM-11172?focusedWorklogId=509791&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-509791
]
ASF GitHub Bot logged work on BEAM-11172:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 10/Nov/20 16:11
Start Date: 10/Nov/20 16:11
Worklog Time Spent: 10m
Work Description: aromanenko-dev commented on a change in pull request
#13282:
URL: https://github.com/apache/beam/pull/13282#discussion_r520677337
##########
File path: .test-infra/jenkins/job_PerformanceTests_KafkaIO_IT.groovy
##########
@@ -61,14 +61,38 @@ job(jobName) {
autoscalingAlgorithm : 'NONE'
]
+ Map runnerV2SdfWrapperPipelineOptions = pipelineOptions + [
+ kafkaTopic : 'beam-runnerv2',
+ bigQueryTable : 'kafkaioit_results_sdf_wrapper',
+ influxMeasurement : 'kafkaioit_results_sdf_wrapper',
+ experiments :
'beam_fn_api,use_runner_v2,use_unified_worker',
+ ]
+
+ Map runnerV2SdfPipelineOptions = pipelineOptions + [
+ kafkaTopic : 'beam-sdf',
+ bigQueryTable : 'kafkaioit_results_runner_v2',
+ influxMeasurement : 'kafkaioit_results_runner_v2',
+ experiments :
'beam_fn_api,use_runner_v2,use_unified_worker,use_sdf_kafka_read',
+ ]
+
steps {
gradle {
rootBuildScriptDir(common.checkoutDir)
common.setGradleSwitches(delegate)
switches("--info")
-
switches("-DintegrationTestPipelineOptions=\'${common.joinOptionsWithNestedJsonValues(pipelineOptions)}\'")
+
switches("-DintegrationTestPipelineOptions=\'${common.joinOptionsWithNestedJsonValues(runnerV2SdfWrapperPipelineOptions)}\'")
+ switches("-DintegrationTestRunner=dataflow")
+ switches("-Dexperiment=use_runner_v2")
Review comment:
What actually "runner v2" is?
##########
File path:
sdks/java/io/kafka/src/test/java/org/apache/beam/sdk/io/kafka/KafkaIOIT.java
##########
@@ -115,6 +122,43 @@ public static void setup() throws IOException {
.get();
}
+ @Test
+ public void testKafkaIOWithRunnerV2() throws IOException {
+ writePipeline
+ .apply("Generate records", Read.from(new
SyntheticBoundedSource(sourceOptions)))
+ .apply("Measure write time", ParDo.of(new TimeMonitor<>(NAMESPACE,
WRITE_TIME_METRIC_NAME)))
+ .apply("Write to Kafka", writeToKafka());
+
+ readPipeline.getOptions().as(Options.class).setStreaming(true);
+ PCollection<Integer> elementCount =
+ readPipeline
+ .apply("Read from Runner V2 Kafka", readFromKafka())
+ .apply(
+ "Measure read time", ParDo.of(new TimeMonitor<>(NAMESPACE,
READ_TIME_METRIC_NAME)))
+ .apply("Map records to strings", MapElements.via(new
MapKafkaRecordsToStrings()))
+ .apply(
+ "Keyed by empty key",
+ MapElements.into(new TypeDescriptor<KV<byte[], String>>() {})
+ .via(element -> KV.of(new byte[0], element)))
+ .apply(
+ "Counting elements", ParDo.of(new
CountingElementFn(options.getNumberOfRecords())));
Review comment:
Why not to use metrics for counting?
##########
File path:
sdks/java/io/kafka/src/main/java/org/apache/beam/sdk/io/kafka/ReadFromKafkaDoFn.java
##########
@@ -407,4 +408,13 @@ public double getTotalSize(double numRecords) {
return avgRecordSize.get() * numRecords / (1 + avgRecordGap.get());
}
}
+
+ private static Instant ensureTimestampWithinBounds(Instant timestamp) {
Review comment:
Why do we need this function? Is it possible to have a timestamp out of
window bounds?
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Issue Time Tracking
-------------------
Worklog Id: (was: 509791)
Time Spent: 2h 40m (was: 2.5h)
> Set up Java Kafka performance test with runner v2
> -------------------------------------------------
>
> Key: BEAM-11172
> URL: https://issues.apache.org/jira/browse/BEAM-11172
> Project: Beam
> Issue Type: Test
> Components: io-java-kafka, testing
> Reporter: Boyuan Zhang
> Assignee: Boyuan Zhang
> Priority: P2
> Time Spent: 2h 40m
> Remaining Estimate: 0h
>
> Currently we have KafkaIO performance test with dataflow batch java
> production worker. We want to test it with runner v2 + SDF implementation in
> streaming as well.
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