org.apache.flink.api.java.utils.ParameterTool Java Examples

public static void main(String[] args) throws Exception {
	ParameterTool params = Utils.parseArgs(args);
	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

	KafkaSerializationSchema<Message> schema = ClouderaRegistryKafkaSerializationSchema.<Message>
			builder(params.getRequired(K_KAFKA_TOPIC))
			.setConfig(Utils.readSchemaRegistryProperties(params))
			.setKey(Message::getId)
			.build();

	FlinkKafkaProducer<Message> kafkaSink = new FlinkKafkaProducer<>(
			"default", schema, Utils.readKafkaProperties(params), FlinkKafkaProducer.Semantic.AT_LEAST_ONCE);

	DataStream<Message> input = env.addSource(new DataGeneratorSource()).name("Data Generator Source");

	input.addSink(kafkaSink)
			.name("Kafka Sink")
			.uid("Kafka Sink");

	input.print();

	env.execute("Data Generator Job");
}
 

public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

//        env.addS
        ParameterTool tool = ParameterTool.fromArgs(args);
        int sourceParallel = Integer.parseInt(tool.get("s"));
        int operatorParallel = Integer.parseInt(tool.get("p"));

        System.out.println("sourceParallel: " + sourceParallel + ", operatorParallel: " + operatorParallel);

        env.setParallelism(operatorParallel);

        // get input data
        DataStream<String> text = env.addSource(new WordSource()).setParallelism(sourceParallel);

        DataStream<Tuple2<String, Integer>> counts =
                // split up the lines in pairs (2-tuples) containing: (word,1)
                text.flatMap(new LineSplitter())
                        // group by the tuple field "0" and sum up tuple field "1"
                        .keyBy(0)
                        .sum(1);

        // execute program
//        env.execute("StreamWordCount");
        System.out.println(env.getExecutionPlan());
    }
 

public static void main(String[] args) throws Exception {

		ParameterTool params = ParameterTool.fromArgs(args);
		final String input = params.get("input", pathToRideData);

		final int maxEventDelay = 60;       // events are out of order by max 60 seconds
		final int servingSpeedFactor = 600; // events of 10 minutes are served in 1 second

		// set up streaming execution environment
		StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
		env.setParallelism(ExerciseBase.parallelism);

		// start the data generator
		DataStream<TaxiRide> rides = env.addSource(rideSourceOrTest(new TaxiRideSource(input, maxEventDelay, servingSpeedFactor)));

		DataStream<TaxiRide> filteredRides = rides
				// keep only those rides and both start and end in NYC
				.filter(new NYCFilter());

		// print the filtered stream
		printOrTest(filteredRides);

		// run the cleansing pipeline
		env.execute("Taxi Ride Cleansing");
	}
 

public static void main(String[] args) throws Exception {
	final ParameterTool params = ParameterTool.fromArgs(args);
	final String latchFilePath = params.getRequired("latchFilePath");
	final String outputPath = params.getRequired("outputPath");

	final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
	env.getConfig().setExecutionMode(ExecutionMode.BATCH_FORCED);
	env.setParallelism(4);

	env.generateSequence(0, 1000)
		.map(new BlockingIncrementingMapFunction(latchFilePath))
		.writeAsText(outputPath, FileSystem.WriteMode.OVERWRITE)
		.setParallelism(1);

	env.execute();
}
 

public static void main(String[] args) throws Exception {
        final ParameterTool parameterTool = ExecutionEnvUtil.createParameterTool(args);
        StreamExecutionEnvironment env = ExecutionEnvUtil.prepare(parameterTool);
        Properties props = buildKafkaProps(parameterTool);
        //kafka topic list
        List<String> topics = Arrays.asList(parameterTool.get("metrics.topic"), parameterTool.get("logs.topic"));
        FlinkKafkaConsumer011<MetricEvent> consumer = new FlinkKafkaConsumer011<>(topics, new MetricSchema(), props);
        //kafka topic Pattern
        //FlinkKafkaConsumer011<MetricEvent> consumer = new FlinkKafkaConsumer011<>(java.utils.regex.Pattern.compile("test-topic-[0-9]"), new MetricSchema(), props);


//        consumer.setStartFromLatest();
//        consumer.setStartFromEarliest()
        DataStreamSource<MetricEvent> data = env.addSource(consumer);

        data.print();

        env.execute("flink kafka connector test");
    }
 

static SourceFunction<Event> createEventSource(ParameterTool pt) {
	return new SequenceGeneratorSource(
		pt.getInt(
			SEQUENCE_GENERATOR_SRC_KEYSPACE.key(),
			SEQUENCE_GENERATOR_SRC_KEYSPACE.defaultValue()),
		pt.getInt(
			SEQUENCE_GENERATOR_SRC_PAYLOAD_SIZE.key(),
			SEQUENCE_GENERATOR_SRC_PAYLOAD_SIZE.defaultValue()),
		pt.getLong(
			SEQUENCE_GENERATOR_SRC_EVENT_TIME_MAX_OUT_OF_ORDERNESS.key(),
			SEQUENCE_GENERATOR_SRC_EVENT_TIME_MAX_OUT_OF_ORDERNESS.defaultValue()),
		pt.getLong(
			SEQUENCE_GENERATOR_SRC_EVENT_TIME_CLOCK_PROGRESS.key(),
			SEQUENCE_GENERATOR_SRC_EVENT_TIME_CLOCK_PROGRESS.defaultValue()),
		pt.getLong(
			SEQUENCE_GENERATOR_SRC_SLEEP_TIME.key(),
			SEQUENCE_GENERATOR_SRC_SLEEP_TIME.defaultValue()),
		pt.getLong(
			SEQUENCE_GENERATOR_SRC_SLEEP_AFTER_ELEMENTS.key(),
			SEQUENCE_GENERATOR_SRC_SLEEP_AFTER_ELEMENTS.defaultValue()));
}
 

private static void writeEventToHbase(String string, ParameterTool parameterTool) throws IOException {
    Configuration configuration = HBaseConfiguration.create();
    configuration.set(HBASE_ZOOKEEPER_QUORUM, parameterTool.get(HBASE_ZOOKEEPER_QUORUM));
    configuration.set(HBASE_ZOOKEEPER_PROPERTY_CLIENTPORT, parameterTool.get(HBASE_ZOOKEEPER_PROPERTY_CLIENTPORT));
    configuration.set(HBASE_RPC_TIMEOUT, parameterTool.get(HBASE_RPC_TIMEOUT));
    configuration.set(HBASE_CLIENT_OPERATION_TIMEOUT, parameterTool.get(HBASE_CLIENT_OPERATION_TIMEOUT));
    configuration.set(HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD, parameterTool.get(HBASE_CLIENT_SCANNER_TIMEOUT_PERIOD));

    Connection connect = ConnectionFactory.createConnection(configuration);
    Admin admin = connect.getAdmin();
    if (!admin.tableExists(HBASE_TABLE_NAME)) { //检查是否有该表，如果没有，创建
        admin.createTable(new HTableDescriptor(HBASE_TABLE_NAME).addFamily(new HColumnDescriptor(INFO_STREAM)));
    }
    Table table = connect.getTable(HBASE_TABLE_NAME);
    TimeStamp ts = new TimeStamp(new Date());
    Date date = ts.getDate();
    Put put = new Put(Bytes.toBytes(date.getTime()));
    put.addColumn(Bytes.toBytes(INFO_STREAM), Bytes.toBytes("test"), Bytes.toBytes(string));
    table.put(put);
    table.close();
    connect.close();
}
 

public static void main(String[] args) throws Exception {
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.getConfig().setGlobalJobParameters(ParameterTool.fromArgs(args));
    //每隔 10s 重启一次，如果两分钟内重启过三次则停止 Job
    env.setRestartStrategy(RestartStrategies.failureRateRestart(3, Time.minutes(2), Time.seconds(10)));

    env.addSource(new SourceFunction<Long>() {
        @Override
        public void run(SourceContext<Long> sourceContext) throws Exception {
            while (true) {
                sourceContext.collect(null);
            }
        }
        @Override
        public void cancel() {
        }
    })
            .map((MapFunction<Long, Long>) aLong -> aLong / 1)
            .print();

    env.execute("zhisheng failureRate Restart Strategy example");
}
 

public static StreamExecutionEnvironment prepareExecutionEnv(ParameterTool parameterTool)
	throws Exception {

	if (parameterTool.getNumberOfParameters() < 5) {
		System.out.println("Missing parameters!\n" +
			"Usage: Kafka --input-topic <topic> --output-topic <topic> " +
			"--bootstrap.servers <kafka brokers> " +
			"--zookeeper.connect <zk quorum> --group.id <some id>");
		throw new Exception("Missing parameters!\n" +
			"Usage: Kafka --input-topic <topic> --output-topic <topic> " +
			"--bootstrap.servers <kafka brokers> " +
			"--zookeeper.connect <zk quorum> --group.id <some id>");
	}

	StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
	env.getConfig().disableSysoutLogging();
	env.getConfig().setRestartStrategy(RestartStrategies.fixedDelayRestart(4, 10000));
	env.enableCheckpointing(5000); // create a checkpoint every 5 seconds
	env.getConfig().setGlobalJobParameters(parameterTool); // make parameters available in the web interface
	env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);

	return env;
}
 

public static void main(String[] args) throws Exception {
    final ParameterTool params = ParameterTool.fromArgs(args);
    final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

    //1. 待广播的数据
    DataSet<Integer> toBroadcast = env.fromElements(1, 2, 3);

    env.fromElements("a", "b")
            .map(new RichMapFunction<String, String>() {
                List<Integer> broadcastData;

                @Override
                public void open(Configuration parameters) throws Exception {
                    // 3. 获取广播的DataSet数据 作为一个Collection
                    broadcastData = getRuntimeContext().getBroadcastVariable("zhisheng");
                }

                @Override
                public String map(String value) throws Exception {
                    return broadcastData.get(1) + value;
                }
            }).withBroadcastSet(toBroadcast, "zhisheng")// 2. 广播DataSet
            .print();
}
 

@Override
public void configure(ParameterTool parameterTool) {
	value = hasDefaultValue ? parameterTool.getDouble(name, defaultValue) : parameterTool.getDouble(name);

	if (hasMinimumValue) {
		if (minimumValueInclusive) {
			Util.checkParameter(value >= minimumValue,
				name + " must be greater than or equal to " + minimumValue);
		} else {
			Util.checkParameter(value > minimumValue,
				name + " must be greater than " + minimumValue);
		}
	}

	if (hasMaximumValue) {
		if (maximumValueInclusive) {
			Util.checkParameter(value <= maximumValue,
				name + " must be less than or equal to " + maximumValue);
		} else {
			Util.checkParameter(value < maximumValue,
				name + " must be less than " + maximumValue);
		}
	}
}
 

@Override
public void configure(ParameterTool parameterTool) {
	value = hasDefaultValue ? parameterTool.getDouble(name, defaultValue) : parameterTool.getDouble(name);

	if (hasMinimumValue) {
		if (minimumValueInclusive) {
			Util.checkParameter(value >= minimumValue,
				name + " must be greater than or equal to " + minimumValue);
		} else {
			Util.checkParameter(value > minimumValue,
				name + " must be greater than " + minimumValue);
		}
	}

	if (hasMaximumValue) {
		if (maximumValueInclusive) {
			Util.checkParameter(value <= maximumValue,
				name + " must be less than or equal to " + maximumValue);
		} else {
			Util.checkParameter(value < maximumValue,
				name + " must be less than " + maximumValue);
		}
	}
}
 

@Override
public void configure(ParameterTool parameterTool) throws ProgramParametrizationException {
	super.configure(parameterTool);

	// add dimensions as ordered by dimension ID (dim0, dim1, dim2, ...)

	Map<Integer, String> dimensionMap = new TreeMap<>();

	// first parse all dimensions into a sorted map
	for (String key : parameterTool.toMap().keySet()) {
		if (key.startsWith(PREFIX)) {
			int dimensionId = Integer.parseInt(key.substring(PREFIX.length()));
			dimensionMap.put(dimensionId, parameterTool.get(key));
		}
	}

	// then store dimensions in order
	for (String field : dimensionMap.values()) {
		dimensions.add(new Dimension(field));
	}
}
 

public static void main(String[] args) throws Exception {
    final ParameterTool parameterTool = ExecutionEnvUtil.createParameterTool(args);
    StreamExecutionEnvironment env = ExecutionEnvUtil.prepare(parameterTool);
    DataStreamSource<MetricEvent> data = KafkaConfigUtil.buildSource(env);

    List<HttpHost> esAddresses = ESSinkUtil.getEsAddresses(parameterTool.get(ELASTICSEARCH_HOSTS));
    int bulkSize = parameterTool.getInt(ELASTICSEARCH_BULK_FLUSH_MAX_ACTIONS, 40);
    int sinkParallelism = parameterTool.getInt(STREAM_SINK_PARALLELISM, 5);

    log.info("-----esAddresses = {}, parameterTool = {}, ", esAddresses, parameterTool);

    ESSinkUtil.addSink(esAddresses, bulkSize, sinkParallelism, data,
            (MetricEvent metric, RuntimeContext runtimeContext, RequestIndexer requestIndexer) -> {
                requestIndexer.add(Requests.indexRequest()
                        .index(ZHISHENG + "_" + metric.getName())
                        .type(ZHISHENG)
                        .source(GsonUtil.toJSONBytes(metric), XContentType.JSON));
            },
            parameterTool);
    env.execute("flink learning connectors es6");
}
 

public static void main(String[] args) throws Exception {
    final ParameterTool parameterTool = ExecutionEnvUtil.createParameterTool(args);
    StreamExecutionEnvironment env = ExecutionEnvUtil.prepare(parameterTool);
    Properties props = buildKafkaProps(parameterTool);
    //kafka topic list
    List<String> topics = Arrays.asList(parameterTool.get("metrics.topic"));
    FlinkKafkaConsumer011<MetricEvent> consumer = new FlinkKafkaConsumer011<>(topics, new KafkaDeserializationSchemaWrapper<>(new MetricSchema()), props);

    DataStreamSource<MetricEvent> data = env.addSource(consumer);

    data.print();

    env.execute("flink kafka connector test");
}
 

@Override
public void configure(ParameterTool parameterTool) {
	if (!parameterTool.has("iterations") && !parameterTool.has("convergence_threshold")) {
		// no configuration so use default iterations and maximum threshold
		value.iterations = defaultIterations;
		value.convergenceThreshold = Double.MAX_VALUE;
	} else {
		// use configured values and maximum default for unset values
		value.iterations = parameterTool.getInt("iterations", Integer.MAX_VALUE);
		Util.checkParameter(value.iterations > 0,
			"iterations must be greater than zero");

		value.convergenceThreshold = parameterTool.getDouble("convergence_threshold", Double.MAX_VALUE);
		Util.checkParameter(value.convergenceThreshold > 0,
			"convergence threshold must be greater than zero");
	}
}
 

public static void main(String[] args) throws Exception {
	// parse input arguments
	final ParameterTool parameterTool = ParameterTool.fromArgs(args);
	StreamExecutionEnvironment env = KafkaExampleUtil.prepareExecutionEnv(parameterTool);

	DataStream<KafkaEvent> input = env
		.addSource(
			new FlinkKafkaConsumer<>(
				parameterTool.getRequired("input-topic"),
				new KafkaEventSchema(),
				parameterTool.getProperties())
				.assignTimestampsAndWatermarks(new CustomWatermarkExtractor()))
		.keyBy("word")
		.map(new RollingAdditionMapper());

	input.addSink(
		new FlinkKafkaProducer<>(
			parameterTool.getRequired("output-topic"),
			new KeyedSerializationSchemaWrapper<>(new KafkaEventSchema()),
			parameterTool.getProperties(),
			FlinkKafkaProducer.Semantic.EXACTLY_ONCE));

	env.execute("Modern Kafka Example");
}
 

@Test
public void testWithoutDefaultWithoutParameter() {
	Assert.assertEquals("--test TEST", parameter.getUsage());

	expectedException.expect(RuntimeException.class);
	expectedException.expectMessage("No data for required key 'test'");

	parameter.configure(ParameterTool.fromArgs(new String[]{}));
}
 

static TtlTestConfig fromArgs(ParameterTool pt) {
	int keySpace = pt.getInt(UPDATE_GENERATOR_SRC_KEYSPACE.key(), UPDATE_GENERATOR_SRC_KEYSPACE.defaultValue());
	long sleepAfterElements = pt.getLong(UPDATE_GENERATOR_SRC_SLEEP_AFTER_ELEMENTS.key(),
		UPDATE_GENERATOR_SRC_SLEEP_AFTER_ELEMENTS.defaultValue());
	long sleepTime = pt.getLong(UPDATE_GENERATOR_SRC_SLEEP_TIME.key(),
		UPDATE_GENERATOR_SRC_SLEEP_TIME.defaultValue());
	Time ttl = Time.milliseconds(pt.getLong(STATE_TTL_VERIFIER_TTL_MILLI.key(),
		STATE_TTL_VERIFIER_TTL_MILLI.defaultValue()));
	long reportStatAfterUpdatesNum = pt.getLong(REPORT_STAT_AFTER_UPDATES_NUM.key(),
		REPORT_STAT_AFTER_UPDATES_NUM.defaultValue());
	return new TtlTestConfig(keySpace, sleepAfterElements, sleepTime, ttl, reportStatAfterUpdatesNum);
}
 

@Override
public void open(Configuration parameters) throws Exception {
    parameterTool = (ParameterTool) getRuntimeContext().getExecutionConfig().getGlobalJobParameters();
    connection = getConnection();
    String sql = "select * from alert_rule where name = ?;";
    if (connection != null) {
        ps = this.connection.prepareStatement(sql);
    }
}
 

private static Map<KafkaTopicPartition, Long> buildOffsetByTime(Properties props, ParameterTool parameterTool, Long time) {
    props.setProperty("group.id", "query_time_" + time);
    KafkaConsumer consumer = new KafkaConsumer(props);
    List<PartitionInfo> partitionsFor = consumer.partitionsFor(parameterTool.getRequired(PropertiesConstants.METRICS_TOPIC));
    Map<TopicPartition, Long> partitionInfoLongMap = new HashMap<>();
    for (PartitionInfo partitionInfo : partitionsFor) {
        partitionInfoLongMap.put(new TopicPartition(partitionInfo.topic(), partitionInfo.partition()), time);
    }
    Map<TopicPartition, OffsetAndTimestamp> offsetResult = consumer.offsetsForTimes(partitionInfoLongMap);
    Map<KafkaTopicPartition, Long> partitionOffset = new HashMap<>();
    offsetResult.forEach((key, value) -> partitionOffset.put(new KafkaTopicPartition(key.topic(), key.partition()), value.offset()));

    consumer.close();
    return partitionOffset;
}
 

@Test
public void testMinAndMaxAtRangeMaximumInclusive() {
	parameter.setMinimumValue(-1, true);
	parameter.setMaximumValue(1, true);
	parameter.configure(ParameterTool.fromArgs(new String[]{"--test", "1"}));
	Assert.assertEquals(new Double(1), parameter.getValue());
}
 

@Test
public void testWithDefaultWithoutParameter() {
	parameter.setDefaultValue("default").addChoices("c0", "c1", "c2");
	Assert.assertEquals("[--choice <default | c0 | c1 | c2>]", parameter.getUsage());

	parameter.configure(ParameterTool.fromArgs(new String[]{}));
	Assert.assertEquals("default", parameter.getValue());
}
 

private static IndexRequest createIndexRequest(String element, ParameterTool parameterTool) {
	Map<String, Object> json = new HashMap<>();
	json.put("data", element);

	return Requests.indexRequest()
		.index(parameterTool.getRequired("index"))
		.type(parameterTool.getRequired("type"))
		.id(element)
		.source(json);
}
 

@Test
public void testWithDefaultWithParameter() {
	parameter.setDefaultValue(43.21);
	Assert.assertEquals("[--test TEST]", parameter.getUsage());

	parameter.configure(ParameterTool.fromArgs(new String[]{"--test", "12.34"}));
	Assert.assertEquals(new Double(12.34), parameter.getValue());
}
 

@Override
public void open(Configuration parameters) throws Exception {
    parameterTool = (ParameterTool) getRuntimeContext().getExecutionConfig().getGlobalJobParameters();
    connection = getConnection();
    String sql = "select * from alert_rule;";
    if (connection != null) {
        ps = this.connection.prepareStatement(sql);
    }
}
 

public static void main(String[] args) throws Exception {
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        ParameterTool parameterTool = ExecutionEnvUtil.PARAMETER_TOOL;
        Properties props = KafkaConfigUtil.buildKafkaProps(parameterTool);

        SingleOutputStreamOperator<Tuple2<String, String>> product = env.addSource(new FlinkKafkaConsumer011<>(
                parameterTool.get(METRICS_TOPIC),   //这个 kafka topic 需要和上面的工具类的 topic 一致
                new SimpleStringSchema(),
                props))
                .map(string -> GsonUtil.fromJson(string, ProductEvent.class)) //反序列化 JSON
                .flatMap(new FlatMapFunction<ProductEvent, Tuple2<String, String>>() {
                    @Override
                    public void flatMap(ProductEvent value, Collector<Tuple2<String, String>> out) throws Exception {
                        //收集商品 id 和 price 两个属性
                        out.collect(new Tuple2<>(value.getId().toString(), value.getPrice().toString()));
                    }
                });
//        product.print();

        //单个 Redis
        FlinkJedisPoolConfig conf = new FlinkJedisPoolConfig.Builder().setHost(parameterTool.get("redis.host")).build();
        product.addSink(new RedisSink<Tuple2<String, String>>(conf, new RedisSinkMapper()));

        //Redis 的 ip 信息一般都从配置文件取出来
        //Redis 集群
/*        FlinkJedisClusterConfig clusterConfig = new FlinkJedisClusterConfig.Builder()
                .setNodes(new HashSet<InetSocketAddress>(
                        Arrays.asList(new InetSocketAddress("redis1", 6379)))).build();*/

        //Redis Sentinels
/*        FlinkJedisSentinelConfig sentinelConfig = new FlinkJedisSentinelConfig.Builder()
                .setMasterName("master")
                .setSentinels(new HashSet<>(Arrays.asList("sentinel1", "sentinel2")))
                .setPassword("")
                .setDatabase(1).build();*/

        env.execute("flink redis connector");
    }
 

@Test
public void testWithDefaultWithParameter() {
	parameter.setDefaultValue("default").addChoices("c0", "c1", "c2");
	Assert.assertEquals("[--choice <default | c0 | c1 | c2>]", parameter.getUsage());

	parameter.configure(ParameterTool.fromArgs(new String[]{"--choice", "c1"}));
	Assert.assertEquals("c1", parameter.getValue());
}
 

@Test
public void testWithoutDefaultWithParameter() {
	Assert.assertEquals("--test TEST", parameter.getUsage());

	parameter.configure(ParameterTool.fromArgs(new String[]{"--test", "42"}));
	Assert.assertEquals(new Long(42), parameter.getValue());
}
 

private static void setupCheckpointing(final StreamExecutionEnvironment env, final ParameterTool pt) {
	String semantics = pt.get(TEST_SEMANTICS.key(), TEST_SEMANTICS.defaultValue());
	long checkpointInterval = pt.getLong(ENVIRONMENT_CHECKPOINT_INTERVAL.key(), ENVIRONMENT_CHECKPOINT_INTERVAL.defaultValue());
	CheckpointingMode checkpointingMode = semantics.equalsIgnoreCase("exactly-once")
		? CheckpointingMode.EXACTLY_ONCE
		: CheckpointingMode.AT_LEAST_ONCE;

	env.enableCheckpointing(checkpointInterval, checkpointingMode);

	boolean enableExternalizedCheckpoints = pt.getBoolean(
		ENVIRONMENT_EXTERNALIZE_CHECKPOINT.key(),
		ENVIRONMENT_EXTERNALIZE_CHECKPOINT.defaultValue());

	if (enableExternalizedCheckpoints) {
		String cleanupModeConfig = pt.get(
			ENVIRONMENT_EXTERNALIZE_CHECKPOINT_CLEANUP.key(),
			ENVIRONMENT_EXTERNALIZE_CHECKPOINT_CLEANUP.defaultValue());

		CheckpointConfig.ExternalizedCheckpointCleanup cleanupMode;
		switch (cleanupModeConfig) {
			case "retain":
				cleanupMode = CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION;
				break;
			case "delete":
				cleanupMode = CheckpointConfig.ExternalizedCheckpointCleanup.DELETE_ON_CANCELLATION;
				break;
			default:
				throw new IllegalArgumentException("Unknown clean up mode for externalized checkpoints: " + cleanupModeConfig);
		}
		env.getCheckpointConfig().enableExternalizedCheckpoints(cleanupMode);

		final int tolerableDeclinedCheckpointNumber = pt.getInt(
			ENVIRONMENT_TOLERABLE_DECLINED_CHECKPOINT_NUMBER.key(),
			ENVIRONMENT_TOLERABLE_DECLINED_CHECKPOINT_NUMBER.defaultValue());
		env.getCheckpointConfig().setTolerableCheckpointFailureNumber(tolerableDeclinedCheckpointNumber);
	}
}