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/*
* 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.table;
/**
* Repartition input records into at least expected number of output spark partitions. It should give below guarantees -
* Output spark partition will have records from only one hoodie partition. - Average records per output spark
* partitions should be almost equal to (#inputRecords / #outputSparkPartitions) to avoid possible skews.
*/
public interface BulkInsertPartitioner<I> {
/**
* Repartitions the input records into at least expected number of output spark partitions.
*
* @param records Input Hoodie records
* @param outputSparkPartitions Expected number of output partitions
* @return
*/
I repartitionRecords(I records, int outputSparkPartitions);
/**
* @return {@code true} if the records within a RDD partition are sorted; {@code false} otherwise.
*/
boolean arePartitionRecordsSorted();
}