org.apache.paimon.flink.sink.FlinkStreamPartitioner Maven / Gradle / Ivy
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package org.apache.paimon.flink.sink;
import org.apache.paimon.table.sink.ChannelComputer;
import org.apache.flink.runtime.io.network.api.writer.SubtaskStateMapper;
import org.apache.flink.runtime.plugable.SerializationDelegate;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.transformations.PartitionTransformation;
import org.apache.flink.streaming.runtime.partitioner.RebalancePartitioner;
import org.apache.flink.streaming.runtime.partitioner.StreamPartitioner;
import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
/** A {@link StreamPartitioner} which wraps a {@link ChannelComputer}. */
public class FlinkStreamPartitioner extends StreamPartitioner {
private final ChannelComputer channelComputer;
public FlinkStreamPartitioner(ChannelComputer channelComputer) {
this.channelComputer = channelComputer;
}
@Override
public void setup(int numberOfChannels) {
super.setup(numberOfChannels);
channelComputer.setup(numberOfChannels);
}
@Override
public int selectChannel(SerializationDelegate> record) {
return channelComputer.channel(record.getInstance().getValue());
}
@Override
public StreamPartitioner copy() {
return this;
}
@Override
public SubtaskStateMapper getDownstreamSubtaskStateMapper() {
return SubtaskStateMapper.FULL;
}
@Override
public boolean isPointwise() {
return false;
}
@Override
public String toString() {
return channelComputer.toString();
}
public static DataStream partition(
DataStream input, ChannelComputer channelComputer, Integer parallelism) {
FlinkStreamPartitioner partitioner = new FlinkStreamPartitioner<>(channelComputer);
PartitionTransformation partitioned =
new PartitionTransformation<>(input.getTransformation(), partitioner);
if (parallelism != null) {
partitioned.setParallelism(parallelism);
}
return new DataStream<>(input.getExecutionEnvironment(), partitioned);
}
public static DataStream rebalance(DataStream input, Integer parallelism) {
RebalancePartitioner partitioner = new RebalancePartitioner<>();
PartitionTransformation partitioned =
new PartitionTransformation<>(input.getTransformation(), partitioner);
if (parallelism != null) {
partitioned.setParallelism(parallelism);
}
return new DataStream<>(input.getExecutionEnvironment(), partitioned);
}
}
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