yihua commented on a change in pull request #1149: [WIP] [HUDI-472] Introduce configurations and new modes of sorting for bulk_insert URL: https://github.com/apache/incubator-hudi/pull/1149#discussion_r362275524
########## File path: hudi-client/src/main/java/org/apache/hudi/func/bulkinsert/RDDPartitionLocalSortPartitioner.java ########## @@ -0,0 +1,44 @@ +/* + * 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.func.bulkinsert; + +import org.apache.hudi.common.model.HoodieRecord; +import org.apache.hudi.common.model.HoodieRecordPayload; +import org.apache.spark.HashPartitioner; +import org.apache.spark.api.java.JavaRDD; +import scala.Tuple2; + +public class RDDPartitionLocalSortPartitioner<T extends HoodieRecordPayload> + extends BulkInsertInternalPartitioner<T> { + + @Override + public JavaRDD<HoodieRecord<T>> repartitionRecords(JavaRDD<HoodieRecord<T>> records, + int outputSparkPartitions) { + return records.mapToPair(record -> + new Tuple2<>( + String.format("%s+%s", record.getPartitionPath(), record.getRecordKey()), record)) + .repartitionAndSortWithinPartitions(new HashPartitioner(outputSparkPartitions)) Review comment: Yes, `RangePartitioner` is actually what I'm trying to look for. For this specific Partitioner, it tries to avoid shuffling to speed up the bulk insert but may introduce overlapping ranges. will check the side effects of this. ---------------------------------------------------------------- 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: us...@infra.apache.org With regards, Apache Git Services
