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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.hcatalog.utils;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.Random;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.util.GenericOptionsParser;
import org.apache.hcatalog.common.HCatConstants;
import org.apache.hcatalog.data.DefaultHCatRecord;
import org.apache.hcatalog.data.HCatRecord;
import org.apache.hcatalog.data.schema.HCatSchema;
import org.apache.hcatalog.mapreduce.HCatInputFormat;
import org.apache.hcatalog.mapreduce.HCatOutputFormat;
import org.apache.hcatalog.mapreduce.InputJobInfo;
import org.apache.hcatalog.mapreduce.OutputJobInfo;
/**
* This is a map reduce test for testing hcat which goes against the "complex"
* table and writes to "complex_nopart_empty_initially" table. It reads data from complex which
* is an unpartitioned table and stores the data as-is into complex_empty_initially table
* (which is also unpartitioned)
*
* Usage: hadoop jar testudf.jar storecomplex <serveruri> <-libjars hive-hcat jar>
The hcat jar location should be specified as file://<full path to jar>
*/
public class StoreComplex {
private static final String COMPLEX_TABLE_NAME = "complex";
private static final String COMPLEX_NOPART_EMPTY_INITIALLY_TABLE_NAME = "complex_nopart_empty_initially";
public static class ComplexMapper
extends Mapper<WritableComparable, HCatRecord, WritableComparable, HCatRecord> {
@Override
protected void map(WritableComparable key, HCatRecord value,
org.apache.hadoop.mapreduce.Mapper<WritableComparable, HCatRecord,
WritableComparable, HCatRecord>.Context context)
throws IOException, InterruptedException {
// just write out the value as-is
context.write(new IntWritable(0), value);
}
}
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
args = new GenericOptionsParser(conf, args).getRemainingArgs();
String[] otherArgs = new String[1];
int j = 0;
for (int i = 0; i < args.length; i++) {
if (args[i].equals("-libjars")) {
// generic options parser doesn't seem to work!
conf.set("tmpjars", args[i + 1]);
i = i + 1; // skip it , the for loop will skip its value
} else {
otherArgs[j++] = args[i];
}
}
if (otherArgs.length != 1) {
usage();
}
String serverUri = otherArgs[0];
String tableName = COMPLEX_TABLE_NAME;
String dbName = "default";
Map<String, String> outputPartitionKvps = new HashMap<String, String>();
String outputTableName = null;
outputTableName = COMPLEX_NOPART_EMPTY_INITIALLY_TABLE_NAME;
// test with null or empty randomly
if (new Random().nextInt(2) == 0) {
System.err.println("INFO: output partition keys set to null for writing");
outputPartitionKvps = null;
}
String principalID = System.getProperty(HCatConstants.HCAT_METASTORE_PRINCIPAL);
if (principalID != null)
conf.set(HCatConstants.HCAT_METASTORE_PRINCIPAL, principalID);
Job job = new Job(conf, "storecomplex");
// initialize HCatInputFormat
HCatInputFormat.setInput(job, InputJobInfo.create(
dbName, tableName, null));
// initialize HCatOutputFormat
HCatOutputFormat.setOutput(job, OutputJobInfo.create(
dbName, outputTableName, outputPartitionKvps));
HCatSchema s = HCatInputFormat.getTableSchema(job);
HCatOutputFormat.setSchema(job, s);
job.setInputFormatClass(HCatInputFormat.class);
job.setOutputFormatClass(HCatOutputFormat.class);
job.setJarByClass(StoreComplex.class);
job.setMapperClass(ComplexMapper.class);
job.setOutputKeyClass(IntWritable.class);
job.setOutputValueClass(DefaultHCatRecord.class);
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
/**
*
*/
private static void usage() {
System.err.println("Usage: hadoop jar testudf.jar storecomplex <serveruri> <-libjars hive-hcat jar>\n" +
"The hcat jar location should be specified as file://<full path to jar>\n");
System.exit(2);
}
}