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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.hadoop.chukwa.extraction.demux;
import java.io.IOException;
import java.util.Calendar;
import org.apache.hadoop.hdfs.MiniDFSCluster;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.MiniMRCluster;
import org.apache.hadoop.util.ToolRunner;
import org.apache.hadoop.chukwa.ChukwaArchiveKey;
import org.apache.hadoop.chukwa.ChunkImpl;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.*;
import junit.framework.TestCase;
/**
* test the Demux job in one process, using mini-mr.
*
* Unfortunately, this test case needs more jars than the rest of chukwa,
* including hadoop-*-test, commons-cli, and jetty5
*
*
*
*/
public class TestDemux extends TestCase {
java.util.Random r = new java.util.Random();
public ChunkImpl getARandomChunk() {
int ms = r.nextInt(1000);
String line = "2008-05-29 10:42:22,"+ ms + " INFO org.apache.hadoop.dfs.DataNode: Some text goes here" +r.nextInt() + "\n";
ChunkImpl c = new ChunkImpl("HadoopLogProcessor", "test", line.length() -1L, line.getBytes(), null);
return c;
}
public void writeASinkFile(Configuration conf, FileSystem fileSys, Path dest, int chunks) throws IOException {
FSDataOutputStream out = fileSys.create(dest);
Calendar calendar = Calendar.getInstance();
SequenceFile.Writer seqFileWriter = SequenceFile.createWriter(conf, out,
ChukwaArchiveKey.class, ChunkImpl.class,
SequenceFile.CompressionType.NONE, null);
for(int i=0; i < chunks; ++i) {
ChunkImpl chunk = getARandomChunk();
ChukwaArchiveKey archiveKey = new ChukwaArchiveKey();
// FIXME compute this once an hour
calendar.setTimeInMillis(System.currentTimeMillis());
calendar.set(Calendar.MINUTE, 0);
calendar.set(Calendar.SECOND, 0);
calendar.set(Calendar.MILLISECOND, 0);
archiveKey.setTimePartition(calendar.getTimeInMillis());
archiveKey.setDataType(chunk.getDataType());
archiveKey.setStreamName(chunk.getStreamName());
archiveKey.setSeqId(chunk.getSeqID());
seqFileWriter.append(archiveKey, chunk);
}
seqFileWriter.close();
out.close();
}
private void runDemux(JobConf job, Path sortInput, Path sortOutput)
throws Exception {
// Setup command-line arguments to 'sort'
String[] sortArgs = {sortInput.toString(), sortOutput.toString()};
// Run Sort
assertEquals(ToolRunner.run(job, new Demux(), sortArgs), 0);
}
int NUM_HADOOP_SLAVES = 1;
int LINES = 10000;
private static final Path DEMUX_INPUT_PATH = new Path("/demux/input");
private static final Path DEMUX_OUTPUT_PATH = new Path("/demux/output");
public void testDemux() {
try{
System.out.println("testing demux");
Configuration conf = new Configuration();
System.setProperty("hadoop.log.dir", "/tmp/");
MiniDFSCluster dfs = new MiniDFSCluster(conf, NUM_HADOOP_SLAVES, true, null);
FileSystem fileSys = dfs.getFileSystem();
MiniMRCluster mr = new MiniMRCluster(NUM_HADOOP_SLAVES, fileSys.getUri().toString(), 1);
writeASinkFile(conf, fileSys, DEMUX_INPUT_PATH, LINES);
System.out.println("wrote " +
fileSys.getFileStatus(DEMUX_INPUT_PATH).getLen() + " bytes of temp test data");
long ts_start = System.currentTimeMillis();
runDemux(mr.createJobConf(), DEMUX_INPUT_PATH, DEMUX_OUTPUT_PATH);
long time = (System.currentTimeMillis() - ts_start);
long bytes = fileSys.getContentSummary(DEMUX_OUTPUT_PATH).getLength();
System.out.println("result was " + bytes + " bytes long");
System.out.println("processing took " + time + " milliseconds");
System.out.println("aka " + time * 1.0 / LINES + " ms per line or " +
time *1000.0 / bytes + " ms per kilobyte of log data");
} catch(Exception e) {
e.printStackTrace();
}
}
}