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RocMarshal wants to merge 2 commits into from
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Flink 41061 drafted #122

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[FLINK-41061] Reduce adaptive benchmark sleep frequency
AlexYinHan Oct 22, 2026
d5ef80f
drafted
RocMarshal Oct 26, 2026
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33 changes: 28 additions & 5 deletions src/main/java/org/apache/flink/benchmark/AdaptivePartitionThroughputBenchmark.java
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Original file line number Diff line number Diff line change
Expand Up @@ -28,16 +28,39 @@
import org.apache.flink.streaming.api.functions.sink.v2.DiscardingSink;

import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Measurement;
import org.openjdk.jmh.annotations.OperationsPerInvocation;
import org.openjdk.jmh.annotations.OutputTimeUnit;
import org.openjdk.jmh.annotations.Param;
import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Warmup;
import org.openjdk.jmh.runner.Runner;
import org.openjdk.jmh.runner.RunnerException;
import org.openjdk.jmh.runner.options.Options;
import org.openjdk.jmh.runner.options.OptionsBuilder;
import org.openjdk.jmh.runner.options.VerboseMode;

import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static org.openjdk.jmh.annotations.Mode.Throughput;
import static org.openjdk.jmh.annotations.Scope.Thread;

@State(Thread)
@OutputTimeUnit(MILLISECONDS)
@BenchmarkMode(Throughput)
@Fork(
value = 2,
jvmArgsAppend = {
"-Djava.rmi.server.hostname=127.0.0.1",
"-Dcom.sun.management.jmxremote.authenticate=false",
"-Dcom.sun.management.jmxremote.ssl=false",
"-Dcom.sun.management.jmxremote.ssl"
})
@Warmup(iterations = 4)
@Measurement(iterations = 8)
@OperationsPerInvocation(value = AdaptivePartitionThroughputBenchmark.RECORDS_PER_INVOCATION)
public class AdaptivePartitionThroughputBenchmark extends BenchmarkBase {
public class AdaptivePartitionThroughputBenchmark {
public static final int RECORDS_PER_INVOCATION = 150_000;
private static final long CHECKPOINT_INTERVAL_MS = 100;

Expand Down Expand Up @@ -76,9 +99,9 @@ public void mapRebalanceMapRescaleMapSink(InputBenchmarkFlinkEnvironmentContext
DataStreamSource<Long> source = sourceType.source(env, RECORDS_PER_INVOCATION);
source.map(new MultiplyByTwo())
.rebalance()
.map(new SkewableHigherMultiply(1, 0, 5))
.map(new SkewableHigherMultiply(1, 300, 0, 5))
.rescale()
.map(new SkewableHigherMultiply(1, 0, 5))
.map(new SkewableHigherMultiply(1, 300, 0, 5))
.sinkTo(new DiscardingSink<>());

env.execute();
Expand All @@ -92,8 +115,8 @@ private void configAdaptivePartitioner(StreamExecutionEnvironment env) {
NettyShuffleEnvironmentOptions.ADAPTIVE_PARTITIONER_MAX_TRAVERSE_SIZE,
adaptivePartitionerMaxTraverseSize);
config.setString("restart-strategy", "fixed-delay");
config.setString("restart-strategy.fixed-delay.attempts", "15000000");
config.setString("restart-strategy.fixed-delay.delay", "3s");
config.setString("restart-strategy.fixed-delay.attempts", "150");
config.setString("restart-strategy.fixed-delay.delay", "2s");
env.configure(config);
}

Expand Down
18 changes: 13 additions & 5 deletions src/main/java/org/apache/flink/benchmark/functions/SkewableHigherMultiply.java
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Original file line number Diff line number Diff line change
Expand Up @@ -26,25 +26,33 @@

public class SkewableHigherMultiply extends RichMapFunction<Long, Long> {

private final int additionalCostMillisPerRecord;
private final int additionalCostMillisPerBatch;
private final int recordsPerBatch;
private int numRecordsForCurrentBatch;
private final Set<Integer> expectedSkewedSubTasksIndexes;

public SkewableHigherMultiply(
int additionalCostMillisPerRecord, Integer... expectedSkewedSubTasksIndexes) {
this.additionalCostMillisPerRecord = additionalCostMillisPerRecord;
int additionalCostMillisPerBatch,
int recordsPerBatch,
Integer... expectedSkewedSubTasksIndexes) {
this.additionalCostMillisPerBatch = additionalCostMillisPerBatch;
this.recordsPerBatch = recordsPerBatch;
this.expectedSkewedSubTasksIndexes =
new HashSet<>(Arrays.asList(expectedSkewedSubTasksIndexes));
}

@Override
public Long map(Long value) throws Exception {
double base = value * 2.0d;
if (additionalCostMillisPerRecord <= 0) {
if (additionalCostMillisPerBatch <= 0) {
return (long) base;
} else {
if (expectedSkewedSubTasksIndexes.contains(
getRuntimeContext().getTaskInfo().getIndexOfThisSubtask())) {
Thread.sleep(additionalCostMillisPerRecord);
if (++numRecordsForCurrentBatch == recordsPerBatch) {
numRecordsForCurrentBatch = 0;
Thread.sleep(additionalCostMillisPerBatch);
}
}
return (long) base;
}
Expand Down
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