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[FLINK-38613][tests] Force number of splits in UnalignedCheckpointRescaleWithMixedExchangesITCase #27635

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Merged
rkhachatryan merged 1 commit into from
Feb 27, 2026
Merged

[FLINK-38613][tests] Force number of splits in UnalignedCheckpointRescaleWithMixedExchangesITCase #27635

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38 changes: 36 additions & 2 deletions ...-datagen/src/main/java/org/apache/flink/connector/datagen/source/DataGeneratorSource.java
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Original file line number Diff line number Diff line change
Expand Up @@ -142,16 +142,50 @@ public DataGeneratorSource(
rateLimiterStrategy, ExecutionConfig.ClosureCleanerLevel.RECURSIVE, true);
}

/**
* Instantiates a new {@code DataGeneratorSource}.
*
* @param generatorFunction The {@code GeneratorFunction} function.
* @param numberSource The number source.
* @param rateLimiterStrategy The strategy for rate limiting.
* @param typeInfo The type of the produced data points.
*/
public DataGeneratorSource(
GeneratorFunction<Long, OUT> generatorFunction,
NumberSequenceSource numberSource,
RateLimiterStrategy rateLimiterStrategy,
TypeInformation<OUT> typeInfo) {
this(
new GeneratorSourceReaderFactory<>(generatorFunction, rateLimiterStrategy),
generatorFunction,
typeInfo,
numberSource);
ClosureCleaner.clean(
rateLimiterStrategy, ExecutionConfig.ClosureCleanerLevel.RECURSIVE, true);
}

DataGeneratorSource(
SourceReaderFactory<OUT, NumberSequenceSplit> sourceReaderFactory,
GeneratorFunction<Long, OUT> generatorFunction,
long count,
TypeInformation<OUT> typeInfo) {
this(
sourceReaderFactory,
generatorFunction,
typeInfo,
// a noop source (0 elements) is used in Table tests
new NumberSequenceSource(0, count > 0 ? count - 1 : 0));
}

DataGeneratorSource(
SourceReaderFactory<OUT, NumberSequenceSplit> sourceReaderFactory,
GeneratorFunction<Long, OUT> generatorFunction,
TypeInformation<OUT> typeInfo,
NumberSequenceSource numberSource) {
this.sourceReaderFactory = checkNotNull(sourceReaderFactory);
this.generatorFunction = checkNotNull(generatorFunction);
this.typeInfo = checkNotNull(typeInfo);
long to = count > 0 ? count - 1 : 0; // a noop source (0 elements) is used in Table tests
this.numberSource = new NumberSequenceSource(0, to);
this.numberSource = numberSource;
ClosureCleaner.clean(
generatorFunction, ExecutionConfig.ClosureCleanerLevel.RECURSIVE, true);
ClosureCleaner.clean(
Expand Down
79 changes: 23 additions & 56 deletions ...g/apache/flink/test/checkpointing/UnalignedCheckpointRescaleWithMixedExchangesITCase.java
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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,7 @@
import org.apache.flink.api.common.JobStatus;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.typeinfo.Types;
import org.apache.flink.api.connector.source.lib.NumberSequenceSource;
import org.apache.flink.api.connector.source.util.ratelimit.RateLimiterStrategy;
import org.apache.flink.api.java.functions.KeySelector;
import org.apache.flink.configuration.CheckpointingOptions;
Expand Down Expand Up @@ -171,16 +172,10 @@ private StreamExecutionEnvironment getUnalignedCheckpointEnv(@Nullable String re
}

private static JobClient createMultiOutputDAG(StreamExecutionEnvironment env) throws Exception {
DataGeneratorSource<Long> source =
new DataGeneratorSource<>(
index -> index,
Long.MAX_VALUE,
RateLimiterStrategy.perSecond(5000),
Types.LONG);

int sourceParallelism = getRandomParallelism();
DataStream<Long> sourceStream =
env.fromSource(source, WatermarkStrategy.noWatermarks(), "Data Generator")
env.fromSource(createSource(), WatermarkStrategy.noWatermarks(), "Data Generator")
.setParallelism(sourceParallelism);

sourceStream
Expand Down Expand Up @@ -208,25 +203,13 @@ private static JobClient createMultiOutputDAG(StreamExecutionEnvironment env) th

private static JobClient createMultiInputDAG(StreamExecutionEnvironment env) throws Exception {
int source1Parallelism = getRandomParallelism();
DataGeneratorSource<Long> source1 =
new DataGeneratorSource<>(
index -> index,
Long.MAX_VALUE,
RateLimiterStrategy.perSecond(5000),
Types.LONG);
DataStream<Long> sourceStream1 =
env.fromSource(source1, WatermarkStrategy.noWatermarks(), "Source 1")
env.fromSource(createSource(), WatermarkStrategy.noWatermarks(), "Source 1")
.setParallelism(source1Parallelism);

int source2Parallelism = getRandomParallelism();
DataGeneratorSource<Long> source2 =
new DataGeneratorSource<>(
index -> index,
Long.MAX_VALUE,
RateLimiterStrategy.perSecond(5000),
Types.LONG);
DataStream<Long> sourceStream2 =
env.fromSource(source2, WatermarkStrategy.noWatermarks(), "Source 2")
env.fromSource(createSource(), WatermarkStrategy.noWatermarks(), "Source 2")
.setParallelism(source2Parallelism);

// Keep the same parallelism to ensure the ForwardPartitioner will be used.
Expand All @@ -245,16 +228,10 @@ private static JobClient createMultiInputDAG(StreamExecutionEnvironment env) thr

private static JobClient createRescalePartitionerDAG(StreamExecutionEnvironment env)
throws Exception {
DataGeneratorSource<Long> source =
new DataGeneratorSource<>(
index -> index,
Long.MAX_VALUE,
RateLimiterStrategy.perSecond(5000),
Types.LONG);

int sourceParallelism = getRandomParallelism();
DataStream<Long> sourceStream =
env.fromSource(source, WatermarkStrategy.noWatermarks(), "Data Generator")
env.fromSource(createSource(), WatermarkStrategy.noWatermarks(), "Data Generator")
.setParallelism(sourceParallelism);

sourceStream
Expand Down Expand Up @@ -284,25 +261,13 @@ private static JobClient createMixedComplexityDAG(StreamExecutionEnvironment env
throws Exception {
// Multi-input part
int source1Parallelism = getRandomParallelism();
DataGeneratorSource<Long> source1 =
new DataGeneratorSource<>(
index -> index,
Long.MAX_VALUE,
RateLimiterStrategy.perSecond(5000),
Types.LONG);
DataStream<Long> sourceStream1 =
env.fromSource(source1, WatermarkStrategy.noWatermarks(), "Source 1")
env.fromSource(createSource(), WatermarkStrategy.noWatermarks(), "Source 1")
.setParallelism(source1Parallelism);

int source2Parallelism = getRandomParallelism();
DataGeneratorSource<Long> source2 =
new DataGeneratorSource<>(
index -> index,
Long.MAX_VALUE,
RateLimiterStrategy.perSecond(5000),
Types.LONG);
DataStream<Long> sourceStream2 =
env.fromSource(source2, WatermarkStrategy.noWatermarks(), "Source 2")
env.fromSource(createSource(), WatermarkStrategy.noWatermarks(), "Source 2")
.setParallelism(source2Parallelism);

// Keep the same parallelism to ensure the ForwardPartitioner will be used.
Expand Down Expand Up @@ -349,27 +314,15 @@ private static JobClient createMixedComplexityDAG(StreamExecutionEnvironment env
private static JobClient createPartEmptyHashExchangeDAG(StreamExecutionEnvironment env)
throws Exception {
int source1Parallelism = getRandomParallelism();
DataGeneratorSource<Long> source1 =
new DataGeneratorSource<>(
index -> index,
Long.MAX_VALUE,
RateLimiterStrategy.perSecond(5000),
Types.LONG);
DataStream<Long> sourceStream1 =
env.fromSource(source1, WatermarkStrategy.noWatermarks(), "Source 1")
env.fromSource(createSource(), WatermarkStrategy.noWatermarks(), "Source 1")
.setParallelism(source1Parallelism);

int source2Parallelism = getRandomParallelism();
DataGeneratorSource<Long> source2 =
new DataGeneratorSource<>(
index -> index,
Long.MAX_VALUE,
RateLimiterStrategy.perSecond(5000),
Types.LONG);

// Filter all records to simulate empty state exchange
DataStream<Long> sourceStream2 =
env.fromSource(source2, WatermarkStrategy.noWatermarks(), "Source 2")
env.fromSource(createSource(), WatermarkStrategy.noWatermarks(), "Source 2")
.setParallelism(source2Parallelism)
.filter(value -> false)
.setParallelism(source2Parallelism);
Expand All @@ -392,6 +345,20 @@ private static int getRandomParallelism() {
return RANDOM.nextInt(MAX_SLOTS) + 1;
}

private static DataGeneratorSource<Long> createSource() {
return new DataGeneratorSource<>(
index -> index,
new NumberSequenceSource(0, Long.MAX_VALUE - 1) {
@Override
protected List<NumberSequenceSplit> splitNumberRange(
long from, long to, int numSplitsIgnored) {
return super.splitNumberRange(from, to, MAX_SLOTS);
}
},
RateLimiterStrategy.perSecond(5000),
Types.LONG) {};
}

/** A simple CoMapFunction that sleeps for 1ms for each element. */
private static class SleepingCoMap implements CoMapFunction<Long, Long, Long> {
@Override
Expand Down