/**
* 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.ArrayList;
import java.util.HashMap;
import java.util.List;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
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.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
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.data.schema.HCatFieldSchema;
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 writing to partitioned tables.
* table. It performs a group by on the first column and a SUM operation on the
* other columns. This is to simulate a typical operation in a map reduce
* program to test that hcat hands the right data to the map reduce program
*
* Usage: hadoop jar org.apache.hcatalog.utils.HBaseReadWrite -libjars
* <hcat_jar> * <serveruri> <input_tablename> <output_tablename> [filter]
* If filter is given it will be provided as the partition to write to.
*/
public class WriteTextPartitioned extends Configured implements Tool {
static String filter = null;
public static class Map 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 {
String name = (String) value.get(0);
int age = (Integer) value.get(1);
String ds = (String) value.get(3);
HCatRecord record = (filter == null ? new DefaultHCatRecord(3) : new DefaultHCatRecord(2));
record.set(0, name);
record.set(1, age);
if (filter == null) record.set(2, ds);
context.write(null, record);
}
}
public int run(String[] args) throws Exception {
Configuration conf = getConf();
args = new GenericOptionsParser(conf, args).getRemainingArgs();
String serverUri = args[0];
String inputTableName = args[1];
String outputTableName = args[2];
if (args.length > 3) filter = args[3];
String dbName = null;
String principalID = System
.getProperty(HCatConstants.HCAT_METASTORE_PRINCIPAL);
if (principalID != null)
conf.set(HCatConstants.HCAT_METASTORE_PRINCIPAL, principalID);
Job job = new Job(conf, "WriteTextPartitioned");
HCatInputFormat.setInput(job, InputJobInfo.create(dbName,
inputTableName, filter));
// initialize HCatOutputFormat
job.setInputFormatClass(HCatInputFormat.class);
job.setJarByClass(WriteTextPartitioned.class);
job.setMapperClass(Map.class);
job.setOutputKeyClass(WritableComparable.class);
job.setOutputValueClass(DefaultHCatRecord.class);
job.setNumReduceTasks(0);
java.util.Map<String, String> partitionVals = null;
if (filter != null) {
String[] s = filter.split("=");
String val = s[1].replace('"', ' ').trim();
partitionVals = new HashMap<String, String>(1);
partitionVals.put(s[0], val);
}
HCatOutputFormat.setOutput(job, OutputJobInfo.create(dbName,
outputTableName, partitionVals));
HCatSchema s = HCatInputFormat.getTableSchema(job);
// Build the schema for this table, which is slightly different than the
// schema for the input table
List<HCatFieldSchema> fss = new ArrayList<HCatFieldSchema>(3);
fss.add(s.get(0));
fss.add(s.get(1));
fss.add(s.get(3));
HCatOutputFormat.setSchema(job, new HCatSchema(fss));
job.setOutputFormatClass(HCatOutputFormat.class);
return (job.waitForCompletion(true) ? 0 : 1);
}
public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new WriteTextPartitioned(), args);
System.exit(exitCode);
}
}