org.apache.flink.test.util.JavaProgramTestBase Java Examples

The following examples show how to use org.apache.flink.test.util.JavaProgramTestBase. 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 File: BroadcastBranchingITCase.java    From Flink-CEPplus with Apache License 2.0 5 votes vote down vote up 
@Override
protected void testProgram() throws Exception {
	ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
	env.setParallelism(1);

	// Sc1 generates M parameters a,b,c for second degree polynomials P(x) = ax^2 + bx + c identified by id
	DataSet<Tuple4<String, Integer, Integer, Integer>> sc1 = env
			.fromElements(new Tuple4<>("1", 61, 6, 29), new Tuple4<>("2", 7, 13, 10), new Tuple4<>("3", 8, 13, 27));

	// Sc2 generates N x values to be evaluated with the polynomial identified by id
	DataSet<Tuple2<String, Integer>> sc2 = env
			.fromElements(new Tuple2<>("1", 5), new Tuple2<>("2", 3), new Tuple2<>("3", 6));

	// Sc3 generates N y values to be evaluated with the polynomial identified by id
	DataSet<Tuple2<String, Integer>> sc3 = env
			.fromElements(new Tuple2<>("1", 2), new Tuple2<>("2", 3), new Tuple2<>("3", 7));

	// Jn1 matches x and y values on id and emits (id, x, y) triples
	JoinOperator<Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple3<String, Integer, Integer>> jn1 =
			sc2.join(sc3).where(0).equalTo(0).with(new Jn1());

	// Jn2 matches polynomial and arguments by id, computes p = min(P(x),P(y)) and emits (id, p) tuples
	JoinOperator<Tuple3<String, Integer, Integer>, Tuple4<String, Integer, Integer, Integer>, Tuple2<String, Integer>> jn2 =
			jn1.join(sc1).where(0).equalTo(0).with(new Jn2());

	// Mp1 selects (id, x, y) triples where x = y and broadcasts z (=x=y) to Mp2
	FlatMapOperator<Tuple3<String, Integer, Integer>, Tuple2<String, Integer>> mp1 =
			jn1.flatMap(new Mp1());

	// Mp2 filters out all p values which can be divided by z
	List<Tuple2<String, Integer>> result = jn2.flatMap(new Mp2()).withBroadcastSet(mp1, "z").collect();

	JavaProgramTestBase.compareResultAsText(result, RESULT);
}
Example #2
Source File: BroadcastBranchingITCase.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Override
protected void testProgram() throws Exception {
	ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
	env.setParallelism(1);

	// Sc1 generates M parameters a,b,c for second degree polynomials P(x) = ax^2 + bx + c identified by id
	DataSet<Tuple4<String, Integer, Integer, Integer>> sc1 = env
			.fromElements(new Tuple4<>("1", 61, 6, 29), new Tuple4<>("2", 7, 13, 10), new Tuple4<>("3", 8, 13, 27));

	// Sc2 generates N x values to be evaluated with the polynomial identified by id
	DataSet<Tuple2<String, Integer>> sc2 = env
			.fromElements(new Tuple2<>("1", 5), new Tuple2<>("2", 3), new Tuple2<>("3", 6));

	// Sc3 generates N y values to be evaluated with the polynomial identified by id
	DataSet<Tuple2<String, Integer>> sc3 = env
			.fromElements(new Tuple2<>("1", 2), new Tuple2<>("2", 3), new Tuple2<>("3", 7));

	// Jn1 matches x and y values on id and emits (id, x, y) triples
	JoinOperator<Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple3<String, Integer, Integer>> jn1 =
			sc2.join(sc3).where(0).equalTo(0).with(new Jn1());

	// Jn2 matches polynomial and arguments by id, computes p = min(P(x),P(y)) and emits (id, p) tuples
	JoinOperator<Tuple3<String, Integer, Integer>, Tuple4<String, Integer, Integer, Integer>, Tuple2<String, Integer>> jn2 =
			jn1.join(sc1).where(0).equalTo(0).with(new Jn2());

	// Mp1 selects (id, x, y) triples where x = y and broadcasts z (=x=y) to Mp2
	FlatMapOperator<Tuple3<String, Integer, Integer>, Tuple2<String, Integer>> mp1 =
			jn1.flatMap(new Mp1());

	// Mp2 filters out all p values which can be divided by z
	List<Tuple2<String, Integer>> result = jn2.flatMap(new Mp2()).withBroadcastSet(mp1, "z").collect();

	JavaProgramTestBase.compareResultAsText(result, RESULT);
}
Example #3
Source File: BroadcastBranchingITCase.java    From flink with Apache License 2.0 5 votes vote down vote up 
@Override
protected void testProgram() throws Exception {
	ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
	env.setParallelism(1);

	// Sc1 generates M parameters a,b,c for second degree polynomials P(x) = ax^2 + bx + c identified by id
	DataSet<Tuple4<String, Integer, Integer, Integer>> sc1 = env
			.fromElements(new Tuple4<>("1", 61, 6, 29), new Tuple4<>("2", 7, 13, 10), new Tuple4<>("3", 8, 13, 27));

	// Sc2 generates N x values to be evaluated with the polynomial identified by id
	DataSet<Tuple2<String, Integer>> sc2 = env
			.fromElements(new Tuple2<>("1", 5), new Tuple2<>("2", 3), new Tuple2<>("3", 6));

	// Sc3 generates N y values to be evaluated with the polynomial identified by id
	DataSet<Tuple2<String, Integer>> sc3 = env
			.fromElements(new Tuple2<>("1", 2), new Tuple2<>("2", 3), new Tuple2<>("3", 7));

	// Jn1 matches x and y values on id and emits (id, x, y) triples
	JoinOperator<Tuple2<String, Integer>, Tuple2<String, Integer>, Tuple3<String, Integer, Integer>> jn1 =
			sc2.join(sc3).where(0).equalTo(0).with(new Jn1());

	// Jn2 matches polynomial and arguments by id, computes p = min(P(x),P(y)) and emits (id, p) tuples
	JoinOperator<Tuple3<String, Integer, Integer>, Tuple4<String, Integer, Integer, Integer>, Tuple2<String, Integer>> jn2 =
			jn1.join(sc1).where(0).equalTo(0).with(new Jn2());

	// Mp1 selects (id, x, y) triples where x = y and broadcasts z (=x=y) to Mp2
	FlatMapOperator<Tuple3<String, Integer, Integer>, Tuple2<String, Integer>> mp1 =
			jn1.flatMap(new Mp1());

	// Mp2 filters out all p values which can be divided by z
	List<Tuple2<String, Integer>> result = jn2.flatMap(new Mp2()).withBroadcastSet(mp1, "z").collect();

	JavaProgramTestBase.compareResultAsText(result, RESULT);
}