nsivabalan commented on a change in pull request #2049: URL: https://github.com/apache/hudi/pull/2049#discussion_r637392697
########## File path: hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/execution/bulkinsert/GlobalSortPartitionerWithRows.java ########## @@ -0,0 +1,45 @@ +/* + * 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. + */ + +package org.apache.hudi.execution.bulkinsert; + +import org.apache.hudi.common.model.HoodieRecord; +import org.apache.hudi.table.BulkInsertPartitioner; + +import org.apache.spark.sql.Dataset; +import org.apache.spark.sql.Row; +import org.apache.spark.sql.functions; + +/** + * A built-in partitioner that does global sorting for the input Rows across partitions after repartition for bulk insert operation, corresponding to the {@code BulkInsertSortMode.GLOBAL_SORT} mode. + */ +public class GlobalSortPartitionerWithRows implements BulkInsertPartitioner<Dataset<Row>> { + + @Override + public Dataset<Row> repartitionRecords(Dataset<Row> rows, int outputSparkPartitions) { + // Now, sort the records and line them up nicely for loading. + // Let's use "partitionPath + key" as the sort key. + return rows.sort(functions.col(HoodieRecord.PARTITION_PATH_METADATA_FIELD), functions.col(HoodieRecord.RECORD_KEY_METADATA_FIELD)) Review comment: I see, thanks for bringing it up. wanted to avoid the shuffle and hence thought will rely on coalesce. let me see if there is something we could do. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
