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package org.apache.hudi.execution.bulkinsert;

import org.apache.hudi.common.model.HoodieRecord;
import org.apache.hudi.config.HoodieWriteConfig;
import org.apache.hudi.exception.HoodieException;
import org.apache.hudi.table.BulkInsertPartitioner;

import org.apache.spark.sql.Column;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;

import static org.apache.hudi.execution.bulkinsert.BulkInsertSortMode.PARTITION_PATH_REPARTITION;

/**
 * A built-in partitioner that does the following for input rows for bulk insert operation
 * 

* - For physically partitioned table, repartition the input rows based on the partition path, * limiting the shuffle parallelism to specified `outputSparkPartitions` *

* - For physically non-partitioned table, simply does coalesce for the input rows with * `outputSparkPartitions` *

* Corresponding to the {@code BulkInsertSortMode.PARTITION_PATH_REPARTITION} mode. */ public class PartitionPathRepartitionPartitionerWithRows implements BulkInsertPartitioner> { private final boolean isTablePartitioned; private final boolean shouldPopulateMetaFields; public PartitionPathRepartitionPartitionerWithRows(boolean isTablePartitioned, HoodieWriteConfig config) { this.isTablePartitioned = isTablePartitioned; this.shouldPopulateMetaFields = config.populateMetaFields(); } @Override public Dataset repartitionRecords(Dataset rows, int outputSparkPartitions) { if (!shouldPopulateMetaFields) { throw new HoodieException(PARTITION_PATH_REPARTITION.name() + " mode requires meta-fields to be enabled"); } if (isTablePartitioned) { return rows.repartition(outputSparkPartitions, new Column(HoodieRecord.PARTITION_PATH_METADATA_FIELD)); } return rows.coalesce(outputSparkPartitions); } @Override public boolean arePartitionRecordsSorted() { return false; } }





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