/**
* Copyright [2011] [Datasalt Systems S.L.]
*
* Licensed 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 com.datasalt.utils.commons.io;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
/**
* This utility can be used to dump a tabulated key -> value text file as a sequencefile of [Text, Text]
* <p>
* Input will be fetched locally. Output will be written locally or in the remote DFS depending on your
* Hadoop configuration.
*
* @author pere
*
*/
public class DumpTextFileAsSequenceFile {
public static void dump(String input, String output) throws IOException {
Configuration conf = new Configuration();
FileSystem fS = FileSystem.get(conf);
BufferedReader reader = new BufferedReader(new FileReader(new File(input)));
String line = "";
Text t1 = new Text();
Text t2 = new Text();
SequenceFile.Writer writer = new SequenceFile.Writer(fS, conf, new Path(output), Text.class, Text.class);
while((line = reader.readLine()) != null) {
String[] fields = line.split("\t");
t1.set(fields[0]);
t2.set(fields[1]);
writer.append(t1, t2);
}
writer.close();
reader.close();
}
public final static void main(String[] args) throws IOException {
if(args.length != 2) {
throw new IllegalArgumentException("Number of args shoul be 2: [input] [output]" +
"\n\nInput will be fetched locally. Output will be written locally or in the remote" +
" DFS depending on your Hadoop configuration.");
}
dump(args[0], args[1]);
}
}