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[flink] Optimize the partitioning for multi-table CDC between write t…
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50 changes: 50 additions & 0 deletions
50
.../src/main/java/org/apache/paimon/flink/sink/cdc/MultiTableCommittableChannelComputer.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,50 @@ | ||
| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package org.apache.paimon.flink.sink.cdc; | ||
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| import org.apache.paimon.flink.sink.ChannelComputer; | ||
| import org.apache.paimon.flink.sink.MultiTableCommittable; | ||
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| import java.util.Objects; | ||
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| /** {@link ChannelComputer} for {@link MultiTableCommittable}. */ | ||
| public class MultiTableCommittableChannelComputer | ||
| implements ChannelComputer<MultiTableCommittable> { | ||
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| private static final long serialVersionUID = 1L; | ||
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| private transient int numChannels; | ||
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| @Override | ||
| public void setup(int numChannels) { | ||
| this.numChannels = numChannels; | ||
| } | ||
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| @Override | ||
| public int channel(MultiTableCommittable multiTableCommittable) { | ||
| return Math.floorMod( | ||
| Objects.hash(multiTableCommittable.getDatabase(), multiTableCommittable.getTable()), | ||
| numChannels); | ||
| } | ||
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| @Override | ||
| public String toString() { | ||
| return "shuffle by table"; | ||
| } | ||
| } |
84 changes: 84 additions & 0 deletions
84
...-flink-cdc/src/test/java/org/apache/paimon/flink/sink/cdc/FlinkCdcMultiTableSinkTest.java
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,84 @@ | ||
| /* | ||
| * Licensed to the Apache Software Foundation (ASF) under one | ||
| * or more contributor license agreements. See the NOTICE file | ||
| * distributed with this work for additional information | ||
| * regarding copyright ownership. The ASF licenses this file | ||
| * to you under the Apache License, Version 2.0 (the | ||
| * "License"); you may not use this file except in compliance | ||
| * with the License. You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| package org.apache.paimon.flink.sink.cdc; | ||
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| import org.apache.paimon.flink.FlinkCatalogFactory; | ||
| import org.apache.paimon.flink.FlinkConnectorOptions; | ||
| import org.apache.paimon.options.Options; | ||
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| import org.apache.flink.streaming.api.datastream.DataStreamSink; | ||
| import org.apache.flink.streaming.api.datastream.DataStreamSource; | ||
| import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; | ||
| import org.apache.flink.streaming.api.functions.source.ParallelSourceFunction; | ||
| import org.apache.flink.streaming.api.transformations.LegacySinkTransformation; | ||
| import org.apache.flink.streaming.api.transformations.OneInputTransformation; | ||
| import org.apache.flink.streaming.api.transformations.PartitionTransformation; | ||
| import org.junit.jupiter.api.Test; | ||
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| import java.util.Collections; | ||
| import java.util.concurrent.ThreadLocalRandom; | ||
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| import static org.assertj.core.api.Assertions.assertThat; | ||
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| /** Test for {@link FlinkCdcMultiTableSink}. */ | ||
| public class FlinkCdcMultiTableSinkTest { | ||
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| @Test | ||
| public void testTransformationParallelism() { | ||
| StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); | ||
| env.setParallelism(8); | ||
| int inputParallelism = ThreadLocalRandom.current().nextInt(8) + 1; | ||
| DataStreamSource<CdcMultiplexRecord> input = | ||
| env.addSource( | ||
| new ParallelSourceFunction<CdcMultiplexRecord>() { | ||
| @Override | ||
| public void run(SourceContext<CdcMultiplexRecord> ctx) {} | ||
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| @Override | ||
| public void cancel() {} | ||
| }) | ||
| .setParallelism(inputParallelism); | ||
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| FlinkCdcMultiTableSink sink = | ||
| new FlinkCdcMultiTableSink( | ||
| () -> FlinkCatalogFactory.createPaimonCatalog(new Options()), | ||
| FlinkConnectorOptions.SINK_COMMITTER_CPU.defaultValue(), | ||
| null); | ||
| DataStreamSink<?> dataStreamSink = sink.sinkFrom(input, Collections.emptyMap()); | ||
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| // check the transformation graph | ||
| LegacySinkTransformation<?> end = | ||
| (LegacySinkTransformation<?>) dataStreamSink.getTransformation(); | ||
| assertThat(end.getName()).isEqualTo("end"); | ||
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| OneInputTransformation<?, ?> committer = | ||
| (OneInputTransformation<?, ?>) end.getInputs().get(0); | ||
| assertThat(committer.getName()).isEqualTo("Multiplex Global Committer"); | ||
| assertThat(committer.getParallelism()).isEqualTo(inputParallelism); | ||
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| PartitionTransformation<?> partitioner = | ||
| (PartitionTransformation<?>) committer.getInputs().get(0); | ||
| assertThat(partitioner.getParallelism()).isEqualTo(inputParallelism); | ||
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| OneInputTransformation<?, ?> writer = | ||
| (OneInputTransformation<?, ?>) partitioner.getInputs().get(0); | ||
| assertThat(writer.getName()).isEqualTo("CDC MultiplexWriter"); | ||
| assertThat(writer.getParallelism()).isEqualTo(inputParallelism); | ||
| } | ||
| } |
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