/**
* 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.hadoop.hive.ql.exec.spark;
import java.text.NumberFormat;
import org.apache.hadoop.mapred.JobConf;
import org.apache.spark.TaskContext;
import org.apache.spark.api.java.function.PairFlatMapFunction;
public abstract class HivePairFlatMapFunction<T, K, V> implements PairFlatMapFunction<T, K, V> {
private final NumberFormat taskIdFormat = NumberFormat.getInstance();
private final NumberFormat stageIdFormat = NumberFormat.getInstance();
{
taskIdFormat.setGroupingUsed(false);
taskIdFormat.setMinimumIntegerDigits(6);
stageIdFormat.setGroupingUsed(false);
stageIdFormat.setMinimumIntegerDigits(4);
}
protected transient JobConf jobConf;
protected SparkReporter sparkReporter;
private byte[] buffer;
public HivePairFlatMapFunction(byte[] buffer, SparkReporter sparkReporter) {
this.buffer = buffer;
this.sparkReporter = sparkReporter;
}
protected void initJobConf() {
if (jobConf == null) {
jobConf = KryoSerializer.deserializeJobConf(this.buffer);
SmallTableCache.initialize(jobConf);
setupMRLegacyConfigs();
}
}
protected abstract boolean isMap();
// Some Hive features depends on several MR configuration legacy, build and add
// these configuration to JobConf here.
private void setupMRLegacyConfigs() {
StringBuilder taskAttemptIdBuilder = new StringBuilder("attempt_");
taskAttemptIdBuilder.append(System.currentTimeMillis())
.append("_")
.append(stageIdFormat.format(TaskContext.get().stageId()))
.append("_");
if (isMap()) {
taskAttemptIdBuilder.append("m_");
} else {
taskAttemptIdBuilder.append("r_");
}
// Hive requires this TaskAttemptId to be unique. MR's TaskAttemptId is composed
// of "attempt_timestamp_jobNum_m/r_taskNum_attemptNum". The counterpart for
// Spark should be "attempt_timestamp_stageNum_m/r_partitionId_attemptNum".
// When there're multiple attempts for a task, Hive will rely on the partitionId
// to figure out if the data are duplicate or not when collecting the final outputs
// (see org.apache.hadoop.hive.ql.exec.Utils.removeTempOrDuplicateFiles)
taskAttemptIdBuilder.append(taskIdFormat.format(TaskContext.get().partitionId()))
.append("_").append(TaskContext.get().attemptNumber());
String taskAttemptIdStr = taskAttemptIdBuilder.toString();
jobConf.set("mapred.task.id", taskAttemptIdStr);
jobConf.set("mapreduce.task.attempt.id", taskAttemptIdStr);
jobConf.setInt("mapred.task.partition", TaskContext.get().partitionId());
}
}