org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher Java Examples
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org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher.
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Example #1
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 6 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> thisSubtaskPartitionsWithStartOffsets, SerializedValue<WatermarkStrategy<T>> watermarkStrategy, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { return new TestingFetcher<T, String>( sourceContext, thisSubtaskPartitionsWithStartOffsets, watermarkStrategy, runtimeContext.getProcessingTimeService(), 0L, getClass().getClassLoader(), consumerMetricGroup, useMetrics); }
Example #2
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 6 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( SupplierWithException<AbstractFetcher<T, ?>, Exception> testFetcherSupplier, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled, long discoveryIntervalMillis, List<String> topics, KafkaDeserializationSchema<T> mock) { super( topics, null, mock, discoveryIntervalMillis, false); this.testFetcherSupplier = testFetcherSupplier; this.testPartitionDiscoverer = testPartitionDiscoverer; this.isAutoCommitEnabled = isAutoCommitEnabled; }
Example #3
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 6 votes |
@Test public void testClosePartitionDiscovererWhenKafkaFetcherFails() throws Exception { final FlinkException failureCause = new FlinkException("Run Kafka fetcher failure."); // in this scenario, the partition discoverer will be concurrently accessed; // use the WakeupBeforeCloseTestingPartitionDiscoverer to verify that we always call // wakeup() before closing the discoverer final WakeupBeforeCloseTestingPartitionDiscoverer testPartitionDiscoverer = new WakeupBeforeCloseTestingPartitionDiscoverer(); final AbstractFetcher<String, ?> mock = (AbstractFetcher<String, ?>) mock(AbstractFetcher.class); doThrow(failureCause).when(mock).runFetchLoop(); final DummyFlinkKafkaConsumer<String> consumer = new DummyFlinkKafkaConsumer<>(() -> mock, testPartitionDiscoverer, 100L); testFailingConsumerLifecycle(consumer, failureCause); assertTrue("partitionDiscoverer should be closed when consumer is closed", testPartitionDiscoverer.isClosed()); }
Example #4
Source File: FlinkKafkaConsumerBaseMigrationTest.java From flink with Apache License 2.0 | 6 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( AbstractFetcher<T, ?> fetcher, List<String> topics, List<KafkaTopicPartition> partitions, long discoveryInterval) { super( topics, null, (KafkaDeserializationSchema< T >) mock(KafkaDeserializationSchema.class), discoveryInterval, false); this.fetcher = fetcher; this.partitions = partitions; }
Example #5
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 6 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( SupplierWithException<AbstractFetcher<T, ?>, Exception> testFetcherSupplier, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled, long discoveryIntervalMillis, List<String> topics) { super( topics, null, (KeyedDeserializationSchema< T >) mock(KeyedDeserializationSchema.class), discoveryIntervalMillis, false); this.testFetcherSupplier = testFetcherSupplier; this.testPartitionDiscoverer = testPartitionDiscoverer; this.isAutoCommitEnabled = isAutoCommitEnabled; }
Example #6
Source File: FlinkKafkaConsumerBaseMigrationTest.java From flink with Apache License 2.0 | 6 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( AbstractFetcher<T, ?> fetcher, List<String> topics, List<KafkaTopicPartition> partitions, long discoveryInterval) { super( topics, null, (KafkaDeserializationSchema< T >) mock(KafkaDeserializationSchema.class), discoveryInterval, false); this.fetcher = fetcher; this.partitions = partitions; }
Example #7
Source File: FlinkKafkaConsumerBaseTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( SupplierWithException<AbstractFetcher<T, ?>, Exception> testFetcherSupplier, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled, long discoveryIntervalMillis, List<String> topics) { super( topics, null, (KeyedDeserializationSchema< T >) mock(KeyedDeserializationSchema.class), discoveryIntervalMillis, false); this.testFetcherSupplier = testFetcherSupplier; this.testPartitionDiscoverer = testPartitionDiscoverer; this.isAutoCommitEnabled = isAutoCommitEnabled; }
Example #8
Source File: FlinkKafkaConsumerBaseTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@Test public void testClosePartitionDiscovererWhenKafkaFetcherFails() throws Exception { final FlinkException failureCause = new FlinkException("Run Kafka fetcher failure."); // in this scenario, the partition discoverer will be concurrently accessed; // use the WakeupBeforeCloseTestingPartitionDiscoverer to verify that we always call // wakeup() before closing the discoverer final WakeupBeforeCloseTestingPartitionDiscoverer testPartitionDiscoverer = new WakeupBeforeCloseTestingPartitionDiscoverer(); final AbstractFetcher<String, ?> mock = (AbstractFetcher<String, ?>) mock(AbstractFetcher.class); doThrow(failureCause).when(mock).runFetchLoop(); final DummyFlinkKafkaConsumer<String> consumer = new DummyFlinkKafkaConsumer<>(() -> mock, testPartitionDiscoverer, 100L); testFailingConsumerLifecycle(consumer, failureCause); assertTrue("partitionDiscoverer should be closed when consumer is closed", testPartitionDiscoverer.isClosed()); }
Example #9
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 6 votes |
@Test public void testClosePartitionDiscovererWhenKafkaFetcherFails() throws Exception { final FlinkException failureCause = new FlinkException("Run Kafka fetcher failure."); // in this scenario, the partition discoverer will be concurrently accessed; // use the WakeupBeforeCloseTestingPartitionDiscoverer to verify that we always call // wakeup() before closing the discoverer final WakeupBeforeCloseTestingPartitionDiscoverer testPartitionDiscoverer = new WakeupBeforeCloseTestingPartitionDiscoverer(); final AbstractFetcher<String, ?> mock = (AbstractFetcher<String, ?>) mock(AbstractFetcher.class); doThrow(failureCause).when(mock).runFetchLoop(); final DummyFlinkKafkaConsumer<String> consumer = new DummyFlinkKafkaConsumer<>(() -> mock, testPartitionDiscoverer, 100L); testFailingConsumerLifecycle(consumer, failureCause); assertTrue("partitionDiscoverer should be closed when consumer is closed", testPartitionDiscoverer.isClosed()); }
Example #10
Source File: FlinkKafkaConsumerBaseMigrationTest.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( AbstractFetcher<T, ?> fetcher, List<String> topics, List<KafkaTopicPartition> partitions, long discoveryInterval) { super( topics, null, (KafkaDeserializationSchema< T >) mock(KafkaDeserializationSchema.class), discoveryInterval, false); this.fetcher = fetcher; this.partitions = partitions; }
Example #11
Source File: FlinkKafkaConsumer010.java From flink with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> assignedPartitionsWithInitialOffsets, SerializedValue<WatermarkStrategy<T>> watermarkStrategy, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { // make sure that auto commit is disabled when our offset commit mode is ON_CHECKPOINTS; // this overwrites whatever setting the user configured in the properties adjustAutoCommitConfig(properties, offsetCommitMode); // If a rateLimiter is set, then call rateLimiter.open() with the runtime context. if (rateLimiter != null) { rateLimiter.open(runtimeContext); } return new Kafka010Fetcher<>( sourceContext, assignedPartitionsWithInitialOffsets, watermarkStrategy, runtimeContext.getProcessingTimeService(), runtimeContext.getExecutionConfig().getAutoWatermarkInterval(), runtimeContext.getUserCodeClassLoader(), runtimeContext.getTaskNameWithSubtasks(), deserializer, properties, pollTimeout, runtimeContext.getMetricGroup(), consumerMetricGroup, useMetrics, rateLimiter); }
Example #12
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer(KafkaDeserializationSchema<T> kafkaDeserializationSchema) { this( () -> mock(AbstractFetcher.class), mock(AbstractPartitionDiscoverer.class), false, PARTITION_DISCOVERY_DISABLED, Collections.singletonList("dummy-topic"), kafkaDeserializationSchema); }
Example #13
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( AbstractFetcher<T, ?> testFetcher, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled) { this( testFetcher, testPartitionDiscoverer, isAutoCommitEnabled, PARTITION_DISCOVERY_DISABLED); }
Example #14
Source File: FlinkKafkaConsumer08.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> assignedPartitionsWithInitialOffsets, SerializedValue<AssignerWithPeriodicWatermarks<T>> watermarksPeriodic, SerializedValue<AssignerWithPunctuatedWatermarks<T>> watermarksPunctuated, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { long autoCommitInterval = (offsetCommitMode == OffsetCommitMode.KAFKA_PERIODIC) ? PropertiesUtil.getLong(kafkaProperties, "auto.commit.interval.ms", 60000) : -1; // this disables the periodic offset committer thread in the fetcher return new Kafka08Fetcher<>( sourceContext, assignedPartitionsWithInitialOffsets, watermarksPeriodic, watermarksPunctuated, runtimeContext, deserializer, kafkaProperties, autoCommitInterval, consumerMetricGroup, useMetrics); }
Example #15
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> thisSubtaskPartitionsWithStartOffsets, SerializedValue<WatermarkStrategy<T>> watermarkStrategy, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { return testFetcherSupplier.get(); }
Example #16
Source File: FlinkKafkaConsumer.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> assignedPartitionsWithInitialOffsets, SerializedValue<AssignerWithPeriodicWatermarks<T>> watermarksPeriodic, SerializedValue<AssignerWithPunctuatedWatermarks<T>> watermarksPunctuated, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { // make sure that auto commit is disabled when our offset commit mode is ON_CHECKPOINTS; // this overwrites whatever setting the user configured in the properties adjustAutoCommitConfig(properties, offsetCommitMode); return new KafkaFetcher<>( sourceContext, assignedPartitionsWithInitialOffsets, watermarksPeriodic, watermarksPunctuated, runtimeContext.getProcessingTimeService(), runtimeContext.getExecutionConfig().getAutoWatermarkInterval(), runtimeContext.getUserCodeClassLoader(), runtimeContext.getTaskNameWithSubtasks(), deserializer, properties, pollTimeout, runtimeContext.getMetricGroup(), consumerMetricGroup, useMetrics); }
Example #17
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( SupplierWithException<AbstractFetcher<T, ?>, Exception> testFetcherSupplier, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled, long discoveryIntervalMillis) { this( testFetcherSupplier, testPartitionDiscoverer, isAutoCommitEnabled, discoveryIntervalMillis, Collections.singletonList("dummy-topic"), (KeyedDeserializationSchema<T>) mock(KeyedDeserializationSchema.class) ); }
Example #18
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( AbstractFetcher<T, ?> testFetcher, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled, long discoveryIntervalMillis) { this( () -> testFetcher, testPartitionDiscoverer, isAutoCommitEnabled, discoveryIntervalMillis); }
Example #19
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer(List<String> topics, AbstractPartitionDiscoverer abstractPartitionDiscoverer) { this( () -> mock(AbstractFetcher.class), abstractPartitionDiscoverer, false, PARTITION_DISCOVERY_DISABLED, topics, (KeyedDeserializationSchema<T>) mock(KeyedDeserializationSchema.class)); }
Example #20
Source File: FlinkKafkaConsumerBaseMigrationTest.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> thisSubtaskPartitionsWithStartOffsets, SerializedValue<AssignerWithPeriodicWatermarks<T>> watermarksPeriodic, SerializedValue<AssignerWithPunctuatedWatermarks<T>> watermarksPunctuated, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { return fetcher; }
Example #21
Source File: FlinkKafkaConsumer.java From flink with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> assignedPartitionsWithInitialOffsets, SerializedValue<WatermarkStrategy<T>> watermarkStrategy, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { // make sure that auto commit is disabled when our offset commit mode is ON_CHECKPOINTS; // this overwrites whatever setting the user configured in the properties adjustAutoCommitConfig(properties, offsetCommitMode); return new KafkaFetcher<>( sourceContext, assignedPartitionsWithInitialOffsets, watermarkStrategy, runtimeContext.getProcessingTimeService(), runtimeContext.getExecutionConfig().getAutoWatermarkInterval(), runtimeContext.getUserCodeClassLoader(), runtimeContext.getTaskNameWithSubtasks(), deserializer, properties, pollTimeout, runtimeContext.getMetricGroup(), consumerMetricGroup, useMetrics); }
Example #22
Source File: FlinkKafkaShuffleConsumer.java From flink with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> assignedPartitionsWithInitialOffsets, SerializedValue<WatermarkStrategy<T>> watermarkStrategy, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { // make sure that auto commit is disabled when our offset commit mode is ON_CHECKPOINTS; // this overwrites whatever setting the user configured in the properties adjustAutoCommitConfig(properties, offsetCommitMode); return new KafkaShuffleFetcher<>( sourceContext, assignedPartitionsWithInitialOffsets, watermarkStrategy, runtimeContext.getProcessingTimeService(), runtimeContext.getExecutionConfig().getAutoWatermarkInterval(), runtimeContext.getUserCodeClassLoader(), runtimeContext.getTaskNameWithSubtasks(), deserializer, properties, pollTimeout, runtimeContext.getMetricGroup(), consumerMetricGroup, useMetrics, typeSerializer, producerParallelism); }
Example #23
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@Override @SuppressWarnings("unchecked") protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> thisSubtaskPartitionsWithStartOffsets, SerializedValue<AssignerWithPeriodicWatermarks<T>> watermarksPeriodic, SerializedValue<AssignerWithPunctuatedWatermarks<T>> watermarksPunctuated, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { return testFetcherSupplier.get(); }
Example #24
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( SupplierWithException<AbstractFetcher<T, ?>, Exception> testFetcherSupplier, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled, long discoveryIntervalMillis) { this( testFetcherSupplier, testPartitionDiscoverer, isAutoCommitEnabled, discoveryIntervalMillis, Collections.singletonList("dummy-topic") ); }
Example #25
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( AbstractFetcher<T, ?> testFetcher, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled, long discoveryIntervalMillis) { this( () -> testFetcher, testPartitionDiscoverer, isAutoCommitEnabled, discoveryIntervalMillis); }
Example #26
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer( AbstractFetcher<T, ?> testFetcher, AbstractPartitionDiscoverer testPartitionDiscoverer, boolean isAutoCommitEnabled) { this( testFetcher, testPartitionDiscoverer, isAutoCommitEnabled, PARTITION_DISCOVERY_DISABLED); }
Example #27
Source File: FlinkKafkaConsumerBaseTest.java From flink with Apache License 2.0 | 5 votes |
@SuppressWarnings("unchecked") DummyFlinkKafkaConsumer(List<String> topics, AbstractPartitionDiscoverer abstractPartitionDiscoverer) { this( () -> mock(AbstractFetcher.class), abstractPartitionDiscoverer, false, PARTITION_DISCOVERY_DISABLED, topics); }
Example #28
Source File: FlinkKafkaConsumer09.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> assignedPartitionsWithInitialOffsets, SerializedValue<AssignerWithPeriodicWatermarks<T>> watermarksPeriodic, SerializedValue<AssignerWithPunctuatedWatermarks<T>> watermarksPunctuated, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { // make sure that auto commit is disabled when our offset commit mode is ON_CHECKPOINTS; // this overwrites whatever setting the user configured in the properties adjustAutoCommitConfig(properties, offsetCommitMode); // If a rateLimiter is set, then call rateLimiter.open() with the runtime context. if (rateLimiter != null) { rateLimiter.open(runtimeContext); } return new Kafka09Fetcher<>( sourceContext, assignedPartitionsWithInitialOffsets, watermarksPeriodic, watermarksPunctuated, runtimeContext.getProcessingTimeService(), runtimeContext.getExecutionConfig().getAutoWatermarkInterval(), runtimeContext.getUserCodeClassLoader(), runtimeContext.getTaskNameWithSubtasks(), deserializer, properties, pollTimeout, runtimeContext.getMetricGroup(), consumerMetricGroup, useMetrics, rateLimiter); }
Example #29
Source File: FlinkKafkaConsumerBaseMigrationTest.java From flink with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> thisSubtaskPartitionsWithStartOffsets, SerializedValue<AssignerWithPeriodicWatermarks<T>> watermarksPeriodic, SerializedValue<AssignerWithPunctuatedWatermarks<T>> watermarksPunctuated, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { return fetcher; }
Example #30
Source File: FlinkKafkaConsumer010.java From Flink-CEPplus with Apache License 2.0 | 5 votes |
@Override protected AbstractFetcher<T, ?> createFetcher( SourceContext<T> sourceContext, Map<KafkaTopicPartition, Long> assignedPartitionsWithInitialOffsets, SerializedValue<AssignerWithPeriodicWatermarks<T>> watermarksPeriodic, SerializedValue<AssignerWithPunctuatedWatermarks<T>> watermarksPunctuated, StreamingRuntimeContext runtimeContext, OffsetCommitMode offsetCommitMode, MetricGroup consumerMetricGroup, boolean useMetrics) throws Exception { // make sure that auto commit is disabled when our offset commit mode is ON_CHECKPOINTS; // this overwrites whatever setting the user configured in the properties adjustAutoCommitConfig(properties, offsetCommitMode); FlinkConnectorRateLimiter rateLimiter = super.getRateLimiter(); // If a rateLimiter is set, then call rateLimiter.open() with the runtime context. if (rateLimiter != null) { rateLimiter.open(runtimeContext); } return new Kafka010Fetcher<>( sourceContext, assignedPartitionsWithInitialOffsets, watermarksPeriodic, watermarksPunctuated, runtimeContext.getProcessingTimeService(), runtimeContext.getExecutionConfig().getAutoWatermarkInterval(), runtimeContext.getUserCodeClassLoader(), runtimeContext.getTaskNameWithSubtasks(), deserializer, properties, pollTimeout, runtimeContext.getMetricGroup(), consumerMetricGroup, useMetrics, rateLimiter); }