Java ExecutionEnvironment.setRestartStrategy方法代码示例

import org.apache.flink.api.java.ExecutionEnvironment; //导入方法依赖的package包/类
private void executeTask(MapFunction<Long, Long> mapper, int retries) throws Exception {
	ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
	env.setRestartStrategy(RestartStrategies.fixedDelayRestart(retries, 0));
	List<Long> result = env.generateSequence(1, 9)
			.map(mapper)
			.collect();
	MultipleProgramsTestBase.compareResultAsText(result, "1\n2\n3\n4\n5\n6\n7\n8\n9");
}
 

import org.apache.flink.api.java.ExecutionEnvironment; //导入方法依赖的package包/类
@Test
public void testRestartMultipleTimes() {
	try {
		List<Long> resultCollection = new ArrayList<Long>();

		ExecutionEnvironment env = ExecutionEnvironment.createRemoteEnvironment(
				"localhost", cluster.getLeaderRPCPort());

		env.setParallelism(4);
		env.setRestartStrategy(RestartStrategies.fixedDelayRestart(5, 100));
		env.getConfig().disableSysoutLogging();

		env.generateSequence(1, 10)
				.rebalance()
				.map(new FailingMapper3<Long>())
				.reduce(new ReduceFunction<Long>() {
					@Override
					public Long reduce(Long value1, Long value2) {
						return value1 + value2;
					}
				})
				.output(new LocalCollectionOutputFormat<Long>(resultCollection));

		executeAndRunAssertions(env);

		long sum = 0;
		for (long l : resultCollection) {
			sum += l;
		}
		assertEquals(55, sum);
	}
	catch (Exception e) {
		e.printStackTrace();
		fail(e.getMessage());
	}
}
 

import org.apache.flink.api.java.ExecutionEnvironment; //导入方法依赖的package包/类
private void receiveParameters(ExecutionEnvironment env) throws IOException {
	for (int x = 0; x < 4; x++) {
		Tuple value = (Tuple) streamer.getRecord(true);
		switch (Parameters.valueOf(((String) value.getField(0)).toUpperCase())) {
			case DOP:
				Integer dop = value.<Integer>getField(1);
				env.setParallelism(dop);
				break;
			case MODE:
				if (value.<Boolean>getField(1)) {
					LOG.info("Local execution specified, using default for {}.", PythonOptions.DC_TMP_DIR);
					tmpDistributedDir = new Path(PythonOptions.DC_TMP_DIR.defaultValue());
				}
				break;
			case RETRY:
				int retry = value.<Integer>getField(1);
				env.setRestartStrategy(RestartStrategies.fixedDelayRestart(retry, 10000L));
				break;
			case ID:
				currentEnvironmentID = value.<Integer>getField(1);
				break;
		}
	}
	if (env.getParallelism() < 0) {
		env.setParallelism(1);
	}
}
 

import org.apache.flink.api.java.ExecutionEnvironment; //导入方法依赖的package包/类
/**
 * Verifies that the input format reads all records exactly-once in the presence of job failures.
 */
@Test
public void testBatchInputWithFailure() throws Exception {
    final int numElements = 100;

    // set up the stream
    final String streamName = RandomStringUtils.randomAlphabetic(20);
    SETUP_UTILS.createTestStream(streamName, 3);

    try (
            final EventStreamWriter<Integer> eventWriter = SETUP_UTILS.getIntegerWriter(streamName);

            // create the producer that writes to the stream
            final ThrottledIntegerWriter producer = new ThrottledIntegerWriter(
                    eventWriter,
                    numElements,
                    numElements + 1, // no need to block writer for a batch test
                    0
            )
    ) {
        // write batch input
        producer.start();
        producer.sync();

        final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
        env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 1000L));
        env.setParallelism(3);

        // simple pipeline that reads from Pravega and collects the events
        List<Integer> integers = env.createInput(
                new FlinkPravegaInputFormat<>(
                        SETUP_UTILS.getControllerUri(),
                        SETUP_UTILS.getScope(),
                        Collections.singleton(streamName),
                        new IntDeserializer()),
                BasicTypeInfo.INT_TYPE_INFO
        ).map(new FailOnceMapper(numElements / 2)).collect();

        // verify that the job did fail, and all events were still read
        Assert.assertTrue(FailOnceMapper.hasFailed());
        Assert.assertEquals(numElements, integers.size());

        FailOnceMapper.reset();
    }
}
 

import org.apache.flink.api.java.ExecutionEnvironment; //导入方法依赖的package包/类
@Override
public void testTaskManagerFailure(int jobManagerPort, final File coordinateDir) throws Exception {

	ExecutionEnvironment env = ExecutionEnvironment.createRemoteEnvironment("localhost", jobManagerPort);
	env.setParallelism(PARALLELISM);
	env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 10000));
	env.getConfig().setExecutionMode(executionMode);
	env.getConfig().disableSysoutLogging();

	final long numElements = 100000L;
	final DataSet<Long> result = env.generateSequence(1, numElements)

			// make sure every mapper is involved (no one is skipped because of lazy split assignment)
			.rebalance()
					// the majority of the behavior is in the MapFunction
			.map(new RichMapFunction<Long, Long>() {

				private final File proceedFile = new File(coordinateDir, PROCEED_MARKER_FILE);

				private boolean markerCreated = false;
				private boolean checkForProceedFile = true;

				@Override
				public Long map(Long value) throws Exception {
					if (!markerCreated) {
						int taskIndex = getRuntimeContext().getIndexOfThisSubtask();
						touchFile(new File(coordinateDir, READY_MARKER_FILE_PREFIX + taskIndex));
						markerCreated = true;
					}

					// check if the proceed file exists
					if (checkForProceedFile) {
						if (proceedFile.exists()) {
							checkForProceedFile = false;
						} else {
							// otherwise wait so that we make slow progress
							Thread.sleep(100);
						}
					}
					return value;
				}
			})
			.reduce(new ReduceFunction<Long>() {
				@Override
				public Long reduce(Long value1, Long value2) {
					return value1 + value2;
				}
			});

	long sum = result.collect().get(0);
	assertEquals(numElements * (numElements + 1L) / 2L, sum);
}