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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.hudi.metadata;
import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.common.util.StringUtils;
import org.apache.hudi.common.util.ValidationUtils;
import org.apache.hudi.table.BulkInsertPartitioner;
import org.apache.spark.Partitioner;
import org.apache.spark.api.java.JavaRDD;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.List;
import scala.Tuple2;
/**
* A {@code BulkInsertPartitioner} implementation for Metadata Table to improve performance of initialization of metadata
* table partition when a very large number of records are inserted.
*
* This partitioner requires the records to be already tagged with location.
*/
public class SparkHoodieMetadataBulkInsertPartitioner implements BulkInsertPartitioner> {
final int numPartitions;
public SparkHoodieMetadataBulkInsertPartitioner(int numPartitions) {
this.numPartitions = numPartitions;
}
private class FileGroupPartitioner extends Partitioner {
@Override
public int getPartition(Object key) {
return ((Tuple2)key)._1;
}
@Override
public int numPartitions() {
return numPartitions;
}
}
// FileIDs for the various partitions
private List fileIDPfxs;
/**
* Partition the records by their location. The number of partitions is determined by the number of MDT fileGroups being udpated rather than the
* specific value of outputSparkPartitions.
*/
@Override
public JavaRDD repartitionRecords(JavaRDD records, int outputSparkPartitions) {
Comparator> keyComparator =
(Comparator> & Serializable)(t1, t2) -> t1._2.compareTo(t2._2);
// Partition the records by their file group
JavaRDD partitionedRDD = records
// key by . The file group index is used to partition and the record key is used to sort within the partition.
.keyBy(r -> {
int fileGroupIndex = HoodieTableMetadataUtil.getFileGroupIndexFromFileId(r.getCurrentLocation().getFileId());
return new Tuple2<>(fileGroupIndex, r.getRecordKey());
})
.repartitionAndSortWithinPartitions(new FileGroupPartitioner(), keyComparator)
.map(t -> t._2);
fileIDPfxs = partitionedRDD.mapPartitions(recordItr -> {
// Due to partitioning, all record in the partition should have same fileID. So we only can get the fileID prefix from the first record.
List fileIds = new ArrayList<>(1);
if (recordItr.hasNext()) {
HoodieRecord record = recordItr.next();
final String fileID = HoodieTableMetadataUtil.getFileGroupPrefix(record.getCurrentLocation().getFileId());
fileIds.add(fileID);
} else {
// FileGroupPartitioner returns a fixed number of partition as part of numPartitions(). In the special case that recordsRDD has fewer
// records than fileGroupCount, some of these partitions (corresponding to fileGroups) will not have any data.
// But we still need to return a fileID for use within {@code BulkInsertMapFunction}
fileIds.add(StringUtils.EMPTY_STRING);
}
return fileIds.iterator();
}, true).collect();
ValidationUtils.checkArgument(partitionedRDD.getNumPartitions() == fileIDPfxs.size(),
String.format("Generated fileIDPfxs (%d) are lesser in size than the partitions %d", fileIDPfxs.size(), partitionedRDD.getNumPartitions()));
return partitionedRDD;
}
@Override
public boolean arePartitionRecordsSorted() {
return true;
}
@Override
public String getFileIdPfx(int partitionId) {
return fileIDPfxs.get(partitionId);
}
}
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