Java Code Examples for org.apache.flink.hadoopcompatibility.mapred.HadoopMapFunction

The following examples show how to use org.apache.flink.hadoopcompatibility.mapred.HadoopMapFunction. These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source Project: Flink-CEPplus   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 6 votes vote down vote up
@Test
public void testConfigurableMapper() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	JobConf conf = new JobConf();
	conf.set("my.filterPrefix", "Hello");

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> hellos = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new ConfigurableMapper(), conf));

	String resultPath = tempFolder.newFile().toURI().toString();

	hellos.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	String expected = "(2,Hello)\n" +
			"(3,Hello world)\n" +
			"(4,Hello world, how are you?)\n";

	compareResultsByLinesInMemory(expected, resultPath);
}
 
Example 2
Source Project: flink   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 6 votes vote down vote up
@Test
public void testConfigurableMapper() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	JobConf conf = new JobConf();
	conf.set("my.filterPrefix", "Hello");

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> hellos = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new ConfigurableMapper(), conf));

	String resultPath = tempFolder.newFile().toURI().toString();

	hellos.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	String expected = "(2,Hello)\n" +
			"(3,Hello world)\n" +
			"(4,Hello world, how are you?)\n";

	compareResultsByLinesInMemory(expected, resultPath);
}
 
Example 3
Source Project: flink   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 6 votes vote down vote up
@Test
public void testConfigurableMapper() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	JobConf conf = new JobConf();
	conf.set("my.filterPrefix", "Hello");

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> hellos = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new ConfigurableMapper(), conf));

	String resultPath = tempFolder.newFile().toURI().toString();

	hellos.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	String expected = "(2,Hello)\n" +
			"(3,Hello world)\n" +
			"(4,Hello world, how are you?)\n";

	compareResultsByLinesInMemory(expected, resultPath);
}
 
Example 4
Source Project: Flink-CEPplus   Source File: HadoopMapredCompatWordCount.java    License: Apache License 2.0 5 votes vote down vote up
public static void main(String[] args) throws Exception {
	if (args.length < 2) {
		System.err.println("Usage: WordCount <input path> <result path>");
		return;
	}

	final String inputPath = args[0];
	final String outputPath = args[1];

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	// Set up the Hadoop Input Format
	HadoopInputFormat<LongWritable, Text> hadoopInputFormat = new HadoopInputFormat<LongWritable, Text>(new TextInputFormat(), LongWritable.class, Text.class, new JobConf());
	TextInputFormat.addInputPath(hadoopInputFormat.getJobConf(), new Path(inputPath));

	// Create a Flink job with it
	DataSet<Tuple2<LongWritable, Text>> text = env.createInput(hadoopInputFormat);

	DataSet<Tuple2<Text, LongWritable>> words =
			text.flatMap(new HadoopMapFunction<LongWritable, Text, Text, LongWritable>(new Tokenizer()))
				.groupBy(0).reduceGroup(new HadoopReduceCombineFunction<Text, LongWritable, Text, LongWritable>(new Counter(), new Counter()));

	// Set up Hadoop Output Format
	HadoopOutputFormat<Text, LongWritable> hadoopOutputFormat =
			new HadoopOutputFormat<Text, LongWritable>(new TextOutputFormat<Text, LongWritable>(), new JobConf());
	hadoopOutputFormat.getJobConf().set("mapred.textoutputformat.separator", " ");
	TextOutputFormat.setOutputPath(hadoopOutputFormat.getJobConf(), new Path(outputPath));

	// Output & Execute
	words.output(hadoopOutputFormat).setParallelism(1);
	env.execute("Hadoop Compat WordCount");
}
 
Example 5
Source Project: Flink-CEPplus   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testNonPassingMapper() throws Exception{
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> nonPassingFlatMapDs = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new NonPassingMapper()));

	String resultPath = tempFolder.newFile().toURI().toString();

	nonPassingFlatMapDs.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	compareResultsByLinesInMemory("\n", resultPath);
}
 
Example 6
Source Project: Flink-CEPplus   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testDataDuplicatingMapper() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> duplicatingFlatMapDs = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new DuplicatingMapper()));

	String resultPath = tempFolder.newFile().toURI().toString();

	duplicatingFlatMapDs.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	String expected = "(1,Hi)\n" + "(1,HI)\n" +
			"(2,Hello)\n" + "(2,HELLO)\n" +
			"(3,Hello world)\n" + "(3,HELLO WORLD)\n" +
			"(4,Hello world, how are you?)\n" + "(4,HELLO WORLD, HOW ARE YOU?)\n" +
			"(5,I am fine.)\n" + "(5,I AM FINE.)\n" +
			"(6,Luke Skywalker)\n" + "(6,LUKE SKYWALKER)\n" +
			"(7,Comment#1)\n" + "(7,COMMENT#1)\n" +
			"(8,Comment#2)\n" + "(8,COMMENT#2)\n" +
			"(9,Comment#3)\n" + "(9,COMMENT#3)\n" +
			"(10,Comment#4)\n" + "(10,COMMENT#4)\n" +
			"(11,Comment#5)\n" + "(11,COMMENT#5)\n" +
			"(12,Comment#6)\n" + "(12,COMMENT#6)\n" +
			"(13,Comment#7)\n" + "(13,COMMENT#7)\n" +
			"(14,Comment#8)\n" + "(14,COMMENT#8)\n" +
			"(15,Comment#9)\n" + "(15,COMMENT#9)\n" +
			"(16,Comment#10)\n" + "(16,COMMENT#10)\n" +
			"(17,Comment#11)\n" + "(17,COMMENT#11)\n" +
			"(18,Comment#12)\n" + "(18,COMMENT#12)\n" +
			"(19,Comment#13)\n" + "(19,COMMENT#13)\n" +
			"(20,Comment#14)\n" + "(20,COMMENT#14)\n" +
			"(21,Comment#15)\n" + "(21,COMMENT#15)\n";

	compareResultsByLinesInMemory(expected, resultPath);
}
 
Example 7
Source Project: flink   Source File: HadoopMapredCompatWordCount.java    License: Apache License 2.0 5 votes vote down vote up
public static void main(String[] args) throws Exception {
	if (args.length < 2) {
		System.err.println("Usage: WordCount <input path> <result path>");
		return;
	}

	final String inputPath = args[0];
	final String outputPath = args[1];

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	// Set up the Hadoop Input Format
	HadoopInputFormat<LongWritable, Text> hadoopInputFormat = new HadoopInputFormat<LongWritable, Text>(new TextInputFormat(), LongWritable.class, Text.class, new JobConf());
	TextInputFormat.addInputPath(hadoopInputFormat.getJobConf(), new Path(inputPath));

	// Create a Flink job with it
	DataSet<Tuple2<LongWritable, Text>> text = env.createInput(hadoopInputFormat);

	DataSet<Tuple2<Text, LongWritable>> words =
			text.flatMap(new HadoopMapFunction<LongWritable, Text, Text, LongWritable>(new Tokenizer()))
				.groupBy(0).reduceGroup(new HadoopReduceCombineFunction<Text, LongWritable, Text, LongWritable>(new Counter(), new Counter()));

	// Set up Hadoop Output Format
	HadoopOutputFormat<Text, LongWritable> hadoopOutputFormat =
			new HadoopOutputFormat<Text, LongWritable>(new TextOutputFormat<Text, LongWritable>(), new JobConf());
	hadoopOutputFormat.getJobConf().set("mapred.textoutputformat.separator", " ");
	TextOutputFormat.setOutputPath(hadoopOutputFormat.getJobConf(), new Path(outputPath));

	// Output & Execute
	words.output(hadoopOutputFormat).setParallelism(1);
	env.execute("Hadoop Compat WordCount");
}
 
Example 8
Source Project: flink   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testNonPassingMapper() throws Exception{
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> nonPassingFlatMapDs = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new NonPassingMapper()));

	String resultPath = tempFolder.newFile().toURI().toString();

	nonPassingFlatMapDs.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	compareResultsByLinesInMemory("\n", resultPath);
}
 
Example 9
Source Project: flink   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testDataDuplicatingMapper() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> duplicatingFlatMapDs = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new DuplicatingMapper()));

	String resultPath = tempFolder.newFile().toURI().toString();

	duplicatingFlatMapDs.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	String expected = "(1,Hi)\n" + "(1,HI)\n" +
			"(2,Hello)\n" + "(2,HELLO)\n" +
			"(3,Hello world)\n" + "(3,HELLO WORLD)\n" +
			"(4,Hello world, how are you?)\n" + "(4,HELLO WORLD, HOW ARE YOU?)\n" +
			"(5,I am fine.)\n" + "(5,I AM FINE.)\n" +
			"(6,Luke Skywalker)\n" + "(6,LUKE SKYWALKER)\n" +
			"(7,Comment#1)\n" + "(7,COMMENT#1)\n" +
			"(8,Comment#2)\n" + "(8,COMMENT#2)\n" +
			"(9,Comment#3)\n" + "(9,COMMENT#3)\n" +
			"(10,Comment#4)\n" + "(10,COMMENT#4)\n" +
			"(11,Comment#5)\n" + "(11,COMMENT#5)\n" +
			"(12,Comment#6)\n" + "(12,COMMENT#6)\n" +
			"(13,Comment#7)\n" + "(13,COMMENT#7)\n" +
			"(14,Comment#8)\n" + "(14,COMMENT#8)\n" +
			"(15,Comment#9)\n" + "(15,COMMENT#9)\n" +
			"(16,Comment#10)\n" + "(16,COMMENT#10)\n" +
			"(17,Comment#11)\n" + "(17,COMMENT#11)\n" +
			"(18,Comment#12)\n" + "(18,COMMENT#12)\n" +
			"(19,Comment#13)\n" + "(19,COMMENT#13)\n" +
			"(20,Comment#14)\n" + "(20,COMMENT#14)\n" +
			"(21,Comment#15)\n" + "(21,COMMENT#15)\n";

	compareResultsByLinesInMemory(expected, resultPath);
}
 
Example 10
Source Project: flink   Source File: HadoopMapredCompatWordCount.java    License: Apache License 2.0 5 votes vote down vote up
public static void main(String[] args) throws Exception {
	if (args.length < 2) {
		System.err.println("Usage: WordCount <input path> <result path>");
		return;
	}

	final String inputPath = args[0];
	final String outputPath = args[1];

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	// Set up the Hadoop Input Format
	HadoopInputFormat<LongWritable, Text> hadoopInputFormat = new HadoopInputFormat<LongWritable, Text>(new TextInputFormat(), LongWritable.class, Text.class, new JobConf());
	TextInputFormat.addInputPath(hadoopInputFormat.getJobConf(), new Path(inputPath));

	// Create a Flink job with it
	DataSet<Tuple2<LongWritable, Text>> text = env.createInput(hadoopInputFormat);

	DataSet<Tuple2<Text, LongWritable>> words =
			text.flatMap(new HadoopMapFunction<LongWritable, Text, Text, LongWritable>(new Tokenizer()))
				.groupBy(0).reduceGroup(new HadoopReduceCombineFunction<Text, LongWritable, Text, LongWritable>(new Counter(), new Counter()));

	// Set up Hadoop Output Format
	HadoopOutputFormat<Text, LongWritable> hadoopOutputFormat =
			new HadoopOutputFormat<Text, LongWritable>(new TextOutputFormat<Text, LongWritable>(), new JobConf());
	hadoopOutputFormat.getJobConf().set("mapred.textoutputformat.separator", " ");
	TextOutputFormat.setOutputPath(hadoopOutputFormat.getJobConf(), new Path(outputPath));

	// Output & Execute
	words.output(hadoopOutputFormat).setParallelism(1);
	env.execute("Hadoop Compat WordCount");
}
 
Example 11
Source Project: flink   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testNonPassingMapper() throws Exception{
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> nonPassingFlatMapDs = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new NonPassingMapper()));

	String resultPath = tempFolder.newFile().toURI().toString();

	nonPassingFlatMapDs.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	compareResultsByLinesInMemory("\n", resultPath);
}
 
Example 12
Source Project: flink   Source File: HadoopMapFunctionITCase.java    License: Apache License 2.0 5 votes vote down vote up
@Test
public void testDataDuplicatingMapper() throws Exception {
	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

	DataSet<Tuple2<IntWritable, Text>> ds = HadoopTestData.getKVPairDataSet(env);
	DataSet<Tuple2<IntWritable, Text>> duplicatingFlatMapDs = ds.
			flatMap(new HadoopMapFunction<IntWritable, Text, IntWritable, Text>(new DuplicatingMapper()));

	String resultPath = tempFolder.newFile().toURI().toString();

	duplicatingFlatMapDs.writeAsText(resultPath, FileSystem.WriteMode.OVERWRITE);
	env.execute();

	String expected = "(1,Hi)\n" + "(1,HI)\n" +
			"(2,Hello)\n" + "(2,HELLO)\n" +
			"(3,Hello world)\n" + "(3,HELLO WORLD)\n" +
			"(4,Hello world, how are you?)\n" + "(4,HELLO WORLD, HOW ARE YOU?)\n" +
			"(5,I am fine.)\n" + "(5,I AM FINE.)\n" +
			"(6,Luke Skywalker)\n" + "(6,LUKE SKYWALKER)\n" +
			"(7,Comment#1)\n" + "(7,COMMENT#1)\n" +
			"(8,Comment#2)\n" + "(8,COMMENT#2)\n" +
			"(9,Comment#3)\n" + "(9,COMMENT#3)\n" +
			"(10,Comment#4)\n" + "(10,COMMENT#4)\n" +
			"(11,Comment#5)\n" + "(11,COMMENT#5)\n" +
			"(12,Comment#6)\n" + "(12,COMMENT#6)\n" +
			"(13,Comment#7)\n" + "(13,COMMENT#7)\n" +
			"(14,Comment#8)\n" + "(14,COMMENT#8)\n" +
			"(15,Comment#9)\n" + "(15,COMMENT#9)\n" +
			"(16,Comment#10)\n" + "(16,COMMENT#10)\n" +
			"(17,Comment#11)\n" + "(17,COMMENT#11)\n" +
			"(18,Comment#12)\n" + "(18,COMMENT#12)\n" +
			"(19,Comment#13)\n" + "(19,COMMENT#13)\n" +
			"(20,Comment#14)\n" + "(20,COMMENT#14)\n" +
			"(21,Comment#15)\n" + "(21,COMMENT#15)\n";

	compareResultsByLinesInMemory(expected, resultPath);
}