/*
* 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 com.tdunning.plume.local.lazy;
import static com.tdunning.plume.Plume.collectionOf;
import static com.tdunning.plume.Plume.strings;
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.Text;
import org.junit.Test;
import com.google.common.io.Resources;
import com.tdunning.plume.DoFn;
import com.tdunning.plume.EmitFn;
import com.tdunning.plume.PCollection;
/**
* This test checks that an MSCR is created out of a workplan that consists only of Flatten operations. There is more than one
* {@link Flatten} and these have co-related inputs, so they have to be merged into a single MSCR.
*/
public class MapRedOnlyFlattensTest {
static String inputPathEvent2 = "/tmp/input-event2.txt";
static String inputPathLogFile2 = "/tmp/input-logfile2.txt";
static String inputPathLogFile = "/tmp/input-logfile.txt";
public static class MapRedOnlyFlattensTestWorkflow extends PlumeWorkflow {
@SuppressWarnings({ "unchecked", "rawtypes" })
@Override
public void build() {
init();
LazyPlume plume = new LazyPlume();
// Get input files
PCollection inputEvent2, inputLogFile, inputLogFile2;
try {
inputEvent2 = plume.readFile(inputPathEvent2, collectionOf(strings()));
inputLogFile2 = plume.readFile(inputPathLogFile2, collectionOf(strings()));
inputLogFile = plume.readFile(inputPathLogFile, collectionOf(strings()));
// Add as inputs
addInput(inputEvent2);
addInput(inputLogFile);
} catch (IOException e) {
throw new RuntimeException();
}
/**
* Emit the user of the log file - flatten it with users file
*/
PCollection output = plume.flatten(collectionOf(strings()),
inputEvent2,
inputLogFile.map(new DoFn<Text, Text>() {
@Override
public void process(Text v, EmitFn<Text> emitter) {
String[] splittedLine = v.toString().split("\t");
emitter.emit(new Text(splittedLine[2]));
}
}, collectionOf(strings())));
/**
* Flatten two log files
*/
PCollection output2 = plume.flatten(collectionOf(strings()),
inputLogFile2,
inputLogFile);
addOutput(output);
addOutput(output2);
}
}
@Test
public void test() throws Exception {
String outputPath = "/tmp/output-plume-onlyflattentest";
// Prepare input for test
FileSystem system = FileSystem.getLocal(new Configuration());
system.copyFromLocalFile(new Path(Resources.getResource("event2users.txt").getPath()), new Path(inputPathEvent2));
system.copyFromLocalFile(new Path(Resources.getResource("eventslog.txt").getPath()), new Path(inputPathLogFile));
system.copyFromLocalFile(new Path(Resources.getResource("eventslog.txt").getPath()), new Path(inputPathLogFile2));
// Prepare output for test
system.delete(new Path(outputPath), true);
// Prepare workflow
MapRedOnlyFlattensTestWorkflow workFlow = new MapRedOnlyFlattensTestWorkflow();
// Execute it
MapRedExecutor executor = new MapRedExecutor();
executor.execute(workFlow, outputPath);
}
}