/**
* 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.zebra.mapred;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.Map;
import java.util.TreeMap;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.Mapper;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reducer;
import org.apache.hadoop.mapred.Reporter;
import org.apache.hadoop.mapred.TextInputFormat;
import org.apache.hadoop.zebra.mapred.BasicTableOutputFormat;
import org.apache.hadoop.zebra.mapred.TestBasicTableIOFormatLocalFS.InvIndex;
import org.apache.hadoop.zebra.parser.ParseException;
import org.apache.hadoop.zebra.types.SortInfo;
import org.apache.hadoop.zebra.schema.*;
import org.apache.hadoop.zebra.types.TypesUtils;
import org.apache.hadoop.zebra.types.*;
import org.apache.pig.backend.executionengine.ExecException;
import org.apache.pig.data.DataBag;
import org.apache.pig.data.DefaultTuple;
import org.apache.pig.data.Tuple;
/**
* This is a sample a complete MR sample code for Table. It doens't contain
* 'read' part. But, it should be similar and easier to write. Refer to test
* cases in the same directory.
*
* Assume the input files contain rows of word and count, separated by a space:
*
* <pre>
* this 2
* is 1
* a 4
* test 2
* hello 1
* world 3
* </pre>
*
*/
public class TableMRSampleSortedTable {
static class MapClass implements
Mapper<LongWritable, Text, BytesWritable, Tuple> {
private BytesWritable bytesKey;
private Tuple tupleRow;
private Object javaObj;
private byte[] types;
private ColumnType[] sortColTypes;
@Override
public void map(LongWritable key, Text value,
OutputCollector<BytesWritable, Tuple> output, Reporter reporter)
throws IOException {
// value should contain "word count"
String[] wdct = value.toString().split(" ");
if (wdct.length != 2) {
// LOG the error
return;
}
byte[] word = wdct[0].getBytes();
// This key has to be created by user
bytesKey.set(word, 0, word.length);
// This tuple has to be created by user
tupleRow.set(0, new String(word));
tupleRow.set(1, Integer.parseInt(wdct[1]));
output.collect(bytesKey, tupleRow);
}
@Override
public void configure(JobConf job) {
bytesKey = new BytesWritable();
try {
/* New M/R Interface to get sort information */
SortInfo sortInfo = BasicTableOutputFormat.getSortInfo(job);
/* New M/R Interface SortInfo is exposed to user
* To get types of sort columns.
* Similar interface to get names and indices
*/
sortColTypes = sortInfo.getSortColumnTypes();
types = new byte[sortColTypes.length];
for(int i =0 ; i < sortColTypes.length; ++i){
types[i] = sortColTypes[i].pigDataType();
}
Schema outSchema = BasicTableOutputFormat.getSchema(job);
tupleRow = TypesUtils.createTuple(outSchema);
} catch (IOException e) {
throw new RuntimeException(e);
} catch (ParseException e) {
throw new RuntimeException(e);
}
}
@Override
public void close() throws IOException {
// no-op
}
}
static class ReduceClass implements
Reducer<BytesWritable, Tuple, BytesWritable, Tuple> {
Tuple outRow;
@Override
public void configure(JobConf job) {
}
@Override
public void close() throws IOException {
}
public void reduce(BytesWritable key, Iterator<Tuple> values,
OutputCollector<BytesWritable, Tuple> output, Reporter reporter)
throws IOException {
try {
for(; values.hasNext();) {
output.collect(key, values.next());
}
} catch (ExecException e) {
e.printStackTrace();
}
}
}
public static void main(String[] args) throws ParseException, IOException, Exception {
JobConf jobConf = new JobConf();
jobConf.setJobName("tableMRSample");
jobConf.set("table.output.tfile.compression", "gz");
// input settings
jobConf.setInputFormat(TextInputFormat.class);
jobConf.setMapperClass(TableMRSampleSortedTable.MapClass.class);
jobConf.setReducerClass(TableMRSampleSortedTable.ReduceClass.class);
jobConf.setMapOutputKeyClass(BytesWritable.class);
jobConf.setMapOutputValueClass(DefaultTuple.class);
FileInputFormat.setInputPaths(jobConf, new Path(
"/home/gauravj/work/grid/myTesting/input.txt"));
jobConf.setNumMapTasks(1);
// output settings
Path outPath = new Path("/home/gauravj/work/grid/myTesting/tableOuts");
jobConf.setOutputFormat(BasicTableOutputFormat.class);
BasicTableOutputFormat.setOutputPath(jobConf, outPath);
// set the logical schema with 2 columns
BasicTableOutputFormat.setSchema(jobConf, "word:string, count:int");
// for demo purposes, create 2 physical column groups
BasicTableOutputFormat.setStorageHint(jobConf, "[word];[count]");
/* New M/R Interface */
/* Set sort columns in a comma separated string */
/* Each sort column should belong to schema columns */
BasicTableOutputFormat.setSortInfo(jobConf, "word, count");
// set map-only job.
jobConf.setNumReduceTasks(1);
JobClient.runJob(jobConf);
}
}