Java ExecutionConfig.enableObjectReuse方法代码示例

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
private void testExecuteOnCollection(FlatMapFunction<String, String> udf, List<String> input, boolean mutableSafe) throws Exception {
	ExecutionConfig executionConfig = new ExecutionConfig();
	if (mutableSafe) {
		executionConfig.disableObjectReuse();
	} else {
		executionConfig.enableObjectReuse();
	}
	final TaskInfo taskInfo = new TaskInfo("Test UDF", 4, 0, 4, 0);
	// run on collections
	final List<String> result = getTestFlatMapOperator(udf)
			.executeOnCollections(input,
					new RuntimeUDFContext(
						taskInfo,  null, executionConfig, new HashMap<String, Future<Path>>(),
						new HashMap<String, Accumulator<?, ?>>(), new UnregisteredMetricsGroup()),
					executionConfig);

	Assert.assertEquals(input.size(), result.size());
	Assert.assertEquals(input, result);
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testDataSourcePlain() {
	try {
		TestNonRichInputFormat in = new TestNonRichInputFormat();
		GenericDataSourceBase<String, TestNonRichInputFormat> source =
				new GenericDataSourceBase<String, TestNonRichInputFormat>(
						in, new OperatorInformation<String>(BasicTypeInfo.STRING_TYPE_INFO), "testSource");

		ExecutionConfig executionConfig = new ExecutionConfig();
		executionConfig.disableObjectReuse();
		List<String> resultMutableSafe = source.executeOnCollections(null, executionConfig);

		in.reset();
		executionConfig.enableObjectReuse();
		List<String> resultRegular = source.executeOnCollections(null, executionConfig);
		assertEquals(asList(TestIOData.NAMES), resultMutableSafe);
		assertEquals(asList(TestIOData.NAMES), resultRegular);
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Parameterized.Parameters
public static Collection<Object[]> getConfigurations() {

	LinkedList<Object[]> configs = new LinkedList<Object[]>();

	ExecutionConfig withReuse = new ExecutionConfig();
	withReuse.enableObjectReuse();

	ExecutionConfig withoutReuse = new ExecutionConfig();
	withoutReuse.disableObjectReuse();

	Object[] a = { withoutReuse };
	configs.add(a);
	Object[] b = { withReuse };
	configs.add(b);

	return configs;
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Parameterized.Parameters
public static Collection<Object[]> getConfigurations() throws IOException {
	LinkedList<Object[]> configs = new LinkedList<>();
	
	ExecutionConfig withReuse = new ExecutionConfig();
	withReuse.enableObjectReuse();
	
	ExecutionConfig withoutReuse = new ExecutionConfig();
	withoutReuse.disableObjectReuse();
	
	Object[] a = {withoutReuse};
	configs.add(a);
	Object[] b = {withReuse};
	configs.add(b);
	
	return configs;
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testJoinPlain(){
	final FlatJoinFunction<String, String, Integer> joiner = new FlatJoinFunction<String, String, Integer>() {

		@Override
		public void join(String first, String second, Collector<Integer> out) throws Exception {
			out.collect(first.length());
			out.collect(second.length());
		}
	};

	@SuppressWarnings({ "rawtypes", "unchecked" })
	InnerJoinOperatorBase<String, String, Integer,
					FlatJoinFunction<String, String,Integer> > base = new InnerJoinOperatorBase(joiner,
			new BinaryOperatorInformation(BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.STRING_TYPE_INFO,
					BasicTypeInfo.INT_TYPE_INFO), new int[0], new int[0], "TestJoiner");

	List<String> inputData1 = new ArrayList<String>(Arrays.asList("foo", "bar", "foobar"));
	List<String> inputData2 = new ArrayList<String>(Arrays.asList("foobar", "foo"));
	List<Integer> expected = new ArrayList<Integer>(Arrays.asList(3, 3, 6 ,6));

	try {
		ExecutionConfig executionConfig = new ExecutionConfig();
		executionConfig.disableObjectReuse();
		List<Integer> resultSafe = base.executeOnCollections(inputData1, inputData2, null, executionConfig);
		executionConfig.enableObjectReuse();
		List<Integer> resultRegular = base.executeOnCollections(inputData1, inputData2, null, executionConfig);

		assertEquals(expected, resultSafe);
		assertEquals(expected, resultRegular);
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testMapPlain() {
	try {
		final MapFunction<String, Integer> parser = new MapFunction<String, Integer>() {
			@Override
			public Integer map(String value) {
				return Integer.parseInt(value);
			}
		};
		
		MapOperatorBase<String, Integer, MapFunction<String, Integer>> op = new MapOperatorBase<String, Integer, MapFunction<String,Integer>>(
				parser, new UnaryOperatorInformation<String, Integer>(BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.INT_TYPE_INFO), "TestMapper");
		
		List<String> input = new ArrayList<String>(asList("1", "2", "3", "4", "5", "6"));

		ExecutionConfig executionConfig = new ExecutionConfig();
		executionConfig.disableObjectReuse();
		List<Integer> resultMutableSafe = op.executeOnCollections(input, null, executionConfig);
		executionConfig.enableObjectReuse();
		List<Integer> resultRegular = op.executeOnCollections(input, null, executionConfig);
		
		assertEquals(asList(1, 2, 3, 4, 5, 6), resultMutableSafe);
		assertEquals(asList(1, 2, 3, 4, 5, 6), resultRegular);
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testDataSourcePlain() {
	try {
		TestNonRichOutputFormat out = new TestNonRichOutputFormat();
		GenericDataSinkBase<String> sink = new GenericDataSinkBase<String>(
				out,
				new UnaryOperatorInformation<String, Nothing>(BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.getInfoFor(Nothing.class)),
				"test_sink");
		sink.setInput(source);

		ExecutionConfig executionConfig = new ExecutionConfig();
		executionConfig.disableObjectReuse();
		in.reset();
		sink.executeOnCollections(asList(TestIOData.NAMES), null, executionConfig);
		assertEquals(out.output, asList(TestIOData.NAMES));

		executionConfig.enableObjectReuse();
		out.clear();
		in.reset();
		sink.executeOnCollections(asList(TestIOData.NAMES), null, executionConfig);
		assertEquals(out.output, asList(TestIOData.NAMES));
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testDataSourceWithRuntimeContext() {
	try {
		TestRichOutputFormat out = new TestRichOutputFormat();
		GenericDataSinkBase<String> sink = new GenericDataSinkBase<String>(
				out,
				new UnaryOperatorInformation<String, Nothing>(BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.getInfoFor(Nothing.class)),
				"test_sink");
		sink.setInput(source);

		ExecutionConfig executionConfig = new ExecutionConfig();
		final HashMap<String, Accumulator<?, ?>> accumulatorMap = new HashMap<String, Accumulator<?, ?>>();
		final HashMap<String, Future<Path>> cpTasks = new HashMap<>();
		final TaskInfo taskInfo = new TaskInfo("test_sink", 1, 0, 1, 0);
		executionConfig.disableObjectReuse();
		in.reset();
		
		sink.executeOnCollections(asList(TestIOData.NAMES), new RuntimeUDFContext(
				taskInfo, null, executionConfig, cpTasks, accumulatorMap, new UnregisteredMetricsGroup()),
				executionConfig);
	
			assertEquals(out.output, asList(TestIOData.RICH_NAMES));

		executionConfig.enableObjectReuse();
		out.clear();
		in.reset();
		
		sink.executeOnCollections(asList(TestIOData.NAMES), new RuntimeUDFContext(
				taskInfo, null, executionConfig, cpTasks, accumulatorMap, new UnregisteredMetricsGroup()),
				executionConfig);
		assertEquals(out.output, asList(TestIOData.RICH_NAMES));
	} catch(Exception e){
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Parameterized.Parameters
public static Collection<Object[]> getConfigurations() {
	ExecutionConfig withReuse = new ExecutionConfig();
	withReuse.enableObjectReuse();

	ExecutionConfig withoutReuse = new ExecutionConfig();
	withoutReuse.disableObjectReuse();

	Object[] a = { withoutReuse };
	Object[] b = { withReuse };
	return Arrays.asList(a, b);
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testReduceCollection() {
	try {
		final ReduceFunction<Tuple2<String, Integer>> reducer = new
				ReduceFunction<Tuple2<String, Integer>>() {

			@Override
			public Tuple2<String, Integer> reduce(Tuple2<String, Integer> value1,
													Tuple2<String, Integer> value2) throws
					Exception {
				return new Tuple2<String, Integer>(value1.f0, value1.f1 + value2.f1);
			}
		};

		ReduceOperatorBase<Tuple2<String, Integer>, ReduceFunction<Tuple2<String,
				Integer>>> op = new ReduceOperatorBase<Tuple2<String, Integer>,
				ReduceFunction<Tuple2<String, Integer>>>(reducer,
				new UnaryOperatorInformation<Tuple2<String, Integer>, Tuple2<String,
						Integer>>(TypeInfoParser.<Tuple2<String,
						Integer>>parse("Tuple2<String, Integer>"),
						TypeInfoParser.<Tuple2<String, Integer>>parse("Tuple2<String, " +
								"Integer>")), new int[]{0}, "TestReducer");

		List<Tuple2<String, Integer>> input = new ArrayList<Tuple2<String,
				Integer>>(asList(new Tuple2<String, Integer>("foo", 1), new Tuple2<String,
				Integer>("foo", 3), new Tuple2<String, Integer>("bar", 2), new Tuple2<String,
				Integer>("bar", 4)));

		ExecutionConfig executionConfig = new ExecutionConfig();
		executionConfig.disableObjectReuse();
		List<Tuple2<String, Integer>> resultMutableSafe = op.executeOnCollections(input, null, executionConfig);
		executionConfig.enableObjectReuse();
		List<Tuple2<String, Integer>> resultRegular = op.executeOnCollections(input, null, executionConfig);

		Set<Tuple2<String, Integer>> resultSetMutableSafe = new HashSet<Tuple2<String, Integer>>(resultMutableSafe);
		Set<Tuple2<String, Integer>> resultSetRegular = new HashSet<Tuple2<String, Integer>>(resultRegular);

		Set<Tuple2<String, Integer>> expectedResult = new HashSet<Tuple2<String,
				Integer>>(asList(new Tuple2<String, Integer>("foo", 4), new Tuple2<String,
				Integer>("bar", 6)));

		assertEquals(expectedResult, resultSetMutableSafe);
		assertEquals(expectedResult, resultSetRegular);
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testJoinRich(){
	final AtomicBoolean opened = new AtomicBoolean(false);
	final AtomicBoolean closed = new AtomicBoolean(false);
	final String taskName = "Test rich join function";

	final RichFlatJoinFunction<String, String, Integer> joiner = new RichFlatJoinFunction<String, String, Integer>() {
		@Override
		public void open(Configuration parameters) throws Exception {
			opened.compareAndSet(false, true);
			assertEquals(0, getRuntimeContext().getIndexOfThisSubtask());
			assertEquals(1, getRuntimeContext().getNumberOfParallelSubtasks());
		}

		@Override
		public void close() throws Exception{
			closed.compareAndSet(false, true);
		}

		@Override
		public void join(String first, String second, Collector<Integer> out) throws Exception {
			out.collect(first.length());
			out.collect(second.length());
		}
	};

	InnerJoinOperatorBase<String, String, Integer,
					RichFlatJoinFunction<String, String, Integer>> base = new InnerJoinOperatorBase<String, String, Integer,
									RichFlatJoinFunction<String, String, Integer>>(joiner, new BinaryOperatorInformation<String, String,
			Integer>(BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.STRING_TYPE_INFO,
			BasicTypeInfo.INT_TYPE_INFO), new int[0], new int[0], taskName);

	final List<String> inputData1 = new ArrayList<String>(Arrays.asList("foo", "bar", "foobar"));
	final List<String> inputData2 = new ArrayList<String>(Arrays.asList("foobar", "foo"));
	final List<Integer> expected = new ArrayList<Integer>(Arrays.asList(3, 3, 6, 6));


	try {
		final TaskInfo taskInfo = new TaskInfo(taskName, 1, 0, 1, 0);
		final HashMap<String, Accumulator<?, ?>> accumulatorMap = new HashMap<String, Accumulator<?, ?>>();
		final HashMap<String, Future<Path>> cpTasks = new HashMap<>();

		ExecutionConfig executionConfig = new ExecutionConfig();
		
		executionConfig.disableObjectReuse();
		List<Integer> resultSafe = base.executeOnCollections(inputData1, inputData2,
				new RuntimeUDFContext(taskInfo, null, executionConfig, cpTasks,
						accumulatorMap, new UnregisteredMetricsGroup()),
				executionConfig);
		
		executionConfig.enableObjectReuse();
		List<Integer> resultRegular = base.executeOnCollections(inputData1, inputData2,
				new RuntimeUDFContext(taskInfo, null, executionConfig, cpTasks,
						accumulatorMap, new UnregisteredMetricsGroup()),
				executionConfig);

		assertEquals(expected, resultSafe);
		assertEquals(expected, resultRegular);
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}

	assertTrue(opened.get());
	assertTrue(closed.get());
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testMapWithRuntimeContext() {
	try {
		final String taskName = "Test Task";
		final AtomicBoolean opened = new AtomicBoolean();
		final AtomicBoolean closed = new AtomicBoolean();
		
		final MapFunction<String, Integer> parser = new RichMapFunction<String, Integer>() {
			
			@Override
			public void open(Configuration parameters) throws Exception {
				opened.set(true);
				RuntimeContext ctx = getRuntimeContext();
				assertEquals(0, ctx.getIndexOfThisSubtask());
				assertEquals(1, ctx.getNumberOfParallelSubtasks());
				assertEquals(taskName, ctx.getTaskName());
			}
			
			@Override
			public Integer map(String value) {
				return Integer.parseInt(value);
			}
			
			@Override
			public void close() throws Exception {
				closed.set(true);
			}
		};
		
		MapOperatorBase<String, Integer, MapFunction<String, Integer>> op = new MapOperatorBase<String, Integer, MapFunction<String,Integer>>(
				parser, new UnaryOperatorInformation<String, Integer>(BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.INT_TYPE_INFO), taskName);
		
		List<String> input = new ArrayList<String>(asList("1", "2", "3", "4", "5", "6"));
		final HashMap<String, Accumulator<?, ?>> accumulatorMap = new HashMap<String, Accumulator<?, ?>>();
		final HashMap<String, Future<Path>> cpTasks = new HashMap<>();
		final TaskInfo taskInfo = new TaskInfo(taskName, 1, 0, 1, 0);
		ExecutionConfig executionConfig = new ExecutionConfig();
		executionConfig.disableObjectReuse();
		
		List<Integer> resultMutableSafe = op.executeOnCollections(input,
				new RuntimeUDFContext(taskInfo, null, executionConfig, cpTasks,
						accumulatorMap, new UnregisteredMetricsGroup()),
				executionConfig);
		
		executionConfig.enableObjectReuse();
		List<Integer> resultRegular = op.executeOnCollections(input,
				new RuntimeUDFContext(taskInfo, null, executionConfig, cpTasks,
						accumulatorMap, new UnregisteredMetricsGroup()),
				executionConfig);
		
		assertEquals(asList(1, 2, 3, 4, 5, 6), resultMutableSafe);
		assertEquals(asList(1, 2, 3, 4, 5, 6), resultRegular);
		
		assertTrue(opened.get());
		assertTrue(closed.get());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testMapPartitionWithRuntimeContext() {
	try {
		final String taskName = "Test Task";
		final AtomicBoolean opened = new AtomicBoolean();
		final AtomicBoolean closed = new AtomicBoolean();
		
		final MapPartitionFunction<String, Integer> parser = new RichMapPartitionFunction<String, Integer>() {
			
			@Override
			public void open(Configuration parameters) throws Exception {
				opened.set(true);
				RuntimeContext ctx = getRuntimeContext();
				assertEquals(0, ctx.getIndexOfThisSubtask());
				assertEquals(1, ctx.getNumberOfParallelSubtasks());
				assertEquals(taskName, ctx.getTaskName());
			}
			
			@Override
			public void mapPartition(Iterable<String> values, Collector<Integer> out) {
				for (String s : values) {
					out.collect(Integer.parseInt(s));
				}
			}
			
			@Override
			public void close() throws Exception {
				closed.set(true);
			}
		};
		
		MapPartitionOperatorBase<String, Integer, MapPartitionFunction<String, Integer>> op = 
				new MapPartitionOperatorBase<String, Integer, MapPartitionFunction<String,Integer>>(
				parser, new UnaryOperatorInformation<String, Integer>(BasicTypeInfo.STRING_TYPE_INFO, BasicTypeInfo.INT_TYPE_INFO), taskName);
		
		List<String> input = new ArrayList<String>(asList("1", "2", "3", "4", "5", "6"));

		final TaskInfo taskInfo = new TaskInfo(taskName, 1, 0, 1, 0);

		ExecutionConfig executionConfig = new ExecutionConfig();
		executionConfig.disableObjectReuse();
		
		List<Integer> resultMutableSafe = op.executeOnCollections(input,
				new RuntimeUDFContext(taskInfo, null, executionConfig,
						new HashMap<String, Future<Path>>(),
						new HashMap<String, Accumulator<?, ?>>(),
						new UnregisteredMetricsGroup()),
				executionConfig);
		
		executionConfig.enableObjectReuse();
		List<Integer> resultRegular = op.executeOnCollections(input,
				new RuntimeUDFContext(taskInfo, null, executionConfig,
						new HashMap<String, Future<Path>>(),
						new HashMap<String, Accumulator<?, ?>>(),
						new UnregisteredMetricsGroup()),
				executionConfig);
		
		assertEquals(asList(1, 2, 3, 4, 5, 6), resultMutableSafe);
		assertEquals(asList(1, 2, 3, 4, 5, 6), resultRegular);
		
		assertTrue(opened.get());
		assertTrue(closed.get());
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@Test
public void testDataSourceWithRuntimeContext() {
	try {
		TestRichInputFormat in = new TestRichInputFormat();
		GenericDataSourceBase<String, TestRichInputFormat> source =
				new GenericDataSourceBase<String, TestRichInputFormat>(
						in, new OperatorInformation<String>(BasicTypeInfo.STRING_TYPE_INFO), "testSource");

		final HashMap<String, Accumulator<?, ?>> accumulatorMap = new HashMap<String, Accumulator<?, ?>>();
		final HashMap<String, Future<Path>> cpTasks = new HashMap<>();
		final TaskInfo taskInfo = new TaskInfo("test_source", 1, 0, 1, 0);

		ExecutionConfig executionConfig = new ExecutionConfig();
		executionConfig.disableObjectReuse();
		assertEquals(false, in.hasBeenClosed());
		assertEquals(false, in.hasBeenOpened());
		
		List<String> resultMutableSafe = source.executeOnCollections(
				new RuntimeUDFContext(taskInfo, null, executionConfig, cpTasks, accumulatorMap,
						new UnregisteredMetricsGroup()), executionConfig);
		
		assertEquals(true, in.hasBeenClosed());
		assertEquals(true, in.hasBeenOpened());

		in.reset();
		executionConfig.enableObjectReuse();
		assertEquals(false, in.hasBeenClosed());
		assertEquals(false, in.hasBeenOpened());
		
		List<String> resultRegular = source.executeOnCollections(
				new RuntimeUDFContext(taskInfo, null, executionConfig, cpTasks, accumulatorMap,
						new UnregisteredMetricsGroup()), executionConfig);
		
		assertEquals(true, in.hasBeenClosed());
		assertEquals(true, in.hasBeenOpened());

		assertEquals(asList(TestIOData.RICH_NAMES), resultMutableSafe);
		assertEquals(asList(TestIOData.RICH_NAMES), resultRegular);
	}
	catch(Exception e){
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.common.ExecutionConfig; //导入方法依赖的package包/类
@BeforeClass
public static void setupExecutionGraph() throws Exception {
	// -------------------------------------------------------------------------------------------------------------
	// Setup
	// -------------------------------------------------------------------------------------------------------------

	JobVertexID v1ID = new JobVertexID();
	JobVertexID v2ID = new JobVertexID();

	JobVertex v1 = new JobVertex("v1", v1ID);
	JobVertex v2 = new JobVertex("v2", v2ID);

	v1.setParallelism(1);
	v2.setParallelism(2);

	v1.setInvokableClass(AbstractInvokable.class);
	v2.setInvokableClass(AbstractInvokable.class);

	List<JobVertex> vertices = new ArrayList<>(Arrays.asList(v1, v2));

	ExecutionConfig config = new ExecutionConfig();

	config.setExecutionMode(ExecutionMode.BATCH_FORCED);
	config.setRestartStrategy(new RestartStrategies.NoRestartStrategyConfiguration());
	config.setParallelism(4);
	config.enableObjectReuse();
	config.setGlobalJobParameters(new TestJobParameters());

	runtimeGraph = new ExecutionGraph(
		TestingUtils.defaultExecutor(),
		TestingUtils.defaultExecutor(),
		new JobID(),
		"test job",
		new Configuration(),
		new SerializedValue<>(config),
		AkkaUtils.getDefaultTimeout(),
		new NoRestartStrategy(),
		mock(SlotProvider.class));

	runtimeGraph.attachJobGraph(vertices);

	List<ExecutionJobVertex> jobVertices = new ArrayList<>();
	jobVertices.add(runtimeGraph.getJobVertex(v1ID));
	jobVertices.add(runtimeGraph.getJobVertex(v2ID));
	
	CheckpointStatsTracker statsTracker = new CheckpointStatsTracker(
			0,
			jobVertices,
			mock(CheckpointCoordinatorConfiguration.class),
			new UnregisteredMetricsGroup());

	runtimeGraph.enableCheckpointing(
		100,
		100,
		100,
		1,
		CheckpointRetentionPolicy.NEVER_RETAIN_AFTER_TERMINATION,
		Collections.<ExecutionJobVertex>emptyList(),
		Collections.<ExecutionJobVertex>emptyList(),
		Collections.<ExecutionJobVertex>emptyList(),
		Collections.<MasterTriggerRestoreHook<?>>emptyList(),
		new StandaloneCheckpointIDCounter(),
		new StandaloneCompletedCheckpointStore(1),
		new MemoryStateBackend(),
		statsTracker);

	runtimeGraph.setJsonPlan("{}");

	runtimeGraph.getJobVertex(v2ID).getTaskVertices()[0].getCurrentExecutionAttempt().fail(new RuntimeException("This exception was thrown on purpose."));
}