Examples with PartitionValidatingMapper org.apache.flink.streaming.connectors.kafka.testutils.PartitionValidatingMapper used on opensource projects

Example 1 with PartitionValidatingMapper

use of org.apache.flink.streaming.connectors.kafka.testutils.PartitionValidatingMapper in project flink by apache.

the class KafkaConsumerTestBase method runMultipleSourcesOnePartitionExactlyOnceTest.

/**
 * Tests the proper consumption when having more Flink sources than Kafka partitions, which
 * means that some Flink sources will read no partitions.
 */
public void runMultipleSourcesOnePartitionExactlyOnceTest() throws Exception {
    final String topic = "manyToOneTopic";
    final int numPartitions = 5;
    final int numElementsPerPartition = 1000;
    final int totalElements = numPartitions * numElementsPerPartition;
    final int failAfterElements = numElementsPerPartition / 3;
    final int parallelism = 8;
    createTestTopic(topic, numPartitions, 1);
    DataGenerators.generateRandomizedIntegerSequence(StreamExecutionEnvironment.getExecutionEnvironment(), kafkaServer, topic, numPartitions, numElementsPerPartition, true);
    // run the topology that fails and recovers
    DeserializationSchema<Integer> schema = new TypeInformationSerializationSchema<>(BasicTypeInfo.INT_TYPE_INFO, new ExecutionConfig());
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.enableCheckpointing(500);
    env.setParallelism(parallelism);
    // set the number of restarts to one. The failing mapper will fail once, then it's only
    // success exceptions.
    env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
    env.setBufferTimeout(0);
    Properties props = new Properties();
    props.putAll(standardProps);
    props.putAll(secureProps);
    getStream(env, topic, schema, props).map(new PartitionValidatingMapper(numPartitions, 1)).map(new FailingIdentityMapper<Integer>(failAfterElements)).addSink(new ValidatingExactlyOnceSink(totalElements, true)).setParallelism(1);
    FailingIdentityMapper.failedBefore = false;
    tryExecute(env, "multi-source-one-partitions exactly once test");
    deleteTestTopic(topic);
}

Example 2 with PartitionValidatingMapper

use of org.apache.flink.streaming.connectors.kafka.testutils.PartitionValidatingMapper in project flink by apache.

the class KafkaConsumerTestBase method runBrokerFailureTest.

public void runBrokerFailureTest() throws Exception {
    final String topic = "brokerFailureTestTopic";
    final int parallelism = 2;
    final int numElementsPerPartition = 1000;
    final int totalElements = parallelism * numElementsPerPartition;
    final int failAfterElements = numElementsPerPartition / 3;
    createTestTopic(topic, parallelism, 1);
    DataGenerators.generateRandomizedIntegerSequence(StreamExecutionEnvironment.getExecutionEnvironment(), kafkaServer, topic, parallelism, numElementsPerPartition, true);
    // find leader to shut down
    int leaderId = kafkaServer.getLeaderToShutDown(topic);
    LOG.info("Leader to shutdown {}", leaderId);
    // run the topology (the consumers must handle the failures)
    DeserializationSchema<Integer> schema = new TypeInformationSerializationSchema<>(BasicTypeInfo.INT_TYPE_INFO, new ExecutionConfig());
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.setParallelism(parallelism);
    env.enableCheckpointing(500);
    env.setRestartStrategy(RestartStrategies.noRestart());
    Properties props = new Properties();
    props.putAll(standardProps);
    props.putAll(secureProps);
    getStream(env, topic, schema, props).map(new PartitionValidatingMapper(parallelism, 1)).map(new BrokerKillingMapper<Integer>(leaderId, failAfterElements)).addSink(new ValidatingExactlyOnceSink(totalElements)).setParallelism(1);
    try {
        BrokerKillingMapper.killedLeaderBefore = false;
        tryExecute(env, "Broker failure once test");
    } finally {
        // start a new broker:
        kafkaServer.restartBroker(leaderId);
    }
}

Example 3 with PartitionValidatingMapper

use of org.apache.flink.streaming.connectors.kafka.testutils.PartitionValidatingMapper in project flink by apache.

the class KafkaConsumerTestBase method runOneSourceMultiplePartitionsExactlyOnceTest.

/**
 * Tests the proper consumption when having fewer Flink sources than Kafka partitions, so one
 * Flink source will read multiple Kafka partitions.
 */
public void runOneSourceMultiplePartitionsExactlyOnceTest() throws Exception {
    final String topic = "oneToManyTopic";
    final int numPartitions = 5;
    final int numElementsPerPartition = 1000;
    final int totalElements = numPartitions * numElementsPerPartition;
    final int failAfterElements = numElementsPerPartition / 3;
    final int parallelism = 2;
    createTestTopic(topic, numPartitions, 1);
    DataGenerators.generateRandomizedIntegerSequence(StreamExecutionEnvironment.getExecutionEnvironment(), kafkaServer, topic, numPartitions, numElementsPerPartition, true);
    // run the topology that fails and recovers
    DeserializationSchema<Integer> schema = new TypeInformationSerializationSchema<>(BasicTypeInfo.INT_TYPE_INFO, new ExecutionConfig());
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.enableCheckpointing(500);
    env.setParallelism(parallelism);
    env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
    Properties props = new Properties();
    props.putAll(standardProps);
    props.putAll(secureProps);
    getStream(env, topic, schema, props).map(new PartitionValidatingMapper(numPartitions, 3)).map(new FailingIdentityMapper<Integer>(failAfterElements)).addSink(new ValidatingExactlyOnceSink(totalElements)).setParallelism(1);
    FailingIdentityMapper.failedBefore = false;
    tryExecute(env, "One-source-multi-partitions exactly once test");
    deleteTestTopic(topic);
}

Example 4 with PartitionValidatingMapper

use of org.apache.flink.streaming.connectors.kafka.testutils.PartitionValidatingMapper in project flink by apache.

the class KafkaConsumerTestBase method runOneToOneExactlyOnceTest.

/**
 * Tests the proper consumption when having a 1:1 correspondence between kafka partitions and
 * Flink sources.
 */
public void runOneToOneExactlyOnceTest() throws Exception {
    final String topic = "oneToOneTopic";
    final int parallelism = 5;
    final int numElementsPerPartition = 1000;
    final int totalElements = parallelism * numElementsPerPartition;
    final int failAfterElements = numElementsPerPartition / 3;
    createTestTopic(topic, parallelism, 1);
    DataGenerators.generateRandomizedIntegerSequence(StreamExecutionEnvironment.getExecutionEnvironment(), kafkaServer, topic, parallelism, numElementsPerPartition, true);
    // run the topology that fails and recovers
    DeserializationSchema<Integer> schema = new TypeInformationSerializationSchema<>(BasicTypeInfo.INT_TYPE_INFO, new ExecutionConfig());
    StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
    env.enableCheckpointing(500);
    env.setParallelism(parallelism);
    env.setRestartStrategy(RestartStrategies.fixedDelayRestart(1, 0));
    Properties props = new Properties();
    props.putAll(standardProps);
    props.putAll(secureProps);
    getStream(env, topic, schema, props).map(new PartitionValidatingMapper(parallelism, 1)).map(new FailingIdentityMapper<Integer>(failAfterElements)).addSink(new ValidatingExactlyOnceSink(totalElements)).setParallelism(1);
    FailingIdentityMapper.failedBefore = false;
    tryExecute(env, "One-to-one exactly once test");
    deleteTestTopic(topic);
}