org.apache.paimon.flink.sink.RowDataChannelComputer Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.paimon.flink.sink;
import org.apache.paimon.data.BinaryRow;
import org.apache.paimon.data.InternalRow;
import org.apache.paimon.schema.TableSchema;
import org.apache.paimon.table.sink.ChannelComputer;
import org.apache.paimon.table.sink.FixedBucketRowKeyExtractor;
import org.apache.paimon.table.sink.KeyAndBucketExtractor;
/** {@link ChannelComputer} for {@link InternalRow}. */
public class RowDataChannelComputer implements ChannelComputer {
private static final long serialVersionUID = 1L;
private final TableSchema schema;
private final boolean hasLogSink;
private transient int numChannels;
private transient KeyAndBucketExtractor extractor;
public RowDataChannelComputer(TableSchema schema, boolean hasLogSink) {
this.schema = schema;
this.hasLogSink = hasLogSink;
}
@Override
public void setup(int numChannels) {
this.numChannels = numChannels;
this.extractor = new FixedBucketRowKeyExtractor(schema);
}
@Override
public int channel(InternalRow record) {
extractor.setRecord(record);
return channel(extractor.partition(), extractor.bucket());
}
public int channel(BinaryRow partition, int bucket) {
// log sinks like Kafka only consider bucket and don't care about partition
// so same bucket, even from different partition, must go to the same channel
return hasLogSink
? ChannelComputer.select(bucket, numChannels)
: ChannelComputer.select(partition, bucket, numChannels);
}
@Override
public String toString() {
return "shuffle by bucket";
}
}
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