Examples with TypedProperties org.apache.hudi.common.config.TypedProperties used on opensource projects

Example 76 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestJsonKafkaSource method testJsonKafkaSourceInsertRecordsLessSourceLimit.

@Test
public void testJsonKafkaSourceInsertRecordsLessSourceLimit() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testJsonKafkaSourceInsertRecordsLessSourceLimit";
    testUtils.createTopic(topic, 2);
    HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
    TypedProperties props = createPropsForJsonSource(topic, Long.MAX_VALUE, "earliest");
    Source jsonSource = new JsonKafkaSource(props, jsc(), spark(), schemaProvider, metrics);
    SourceFormatAdapter kafkaSource = new SourceFormatAdapter(jsonSource);
    props.setProperty("hoodie.deltastreamer.kafka.source.maxEvents", "500");
    /*
     1. maxEventsFromKafkaSourceProp set to more than generated insert records
     and sourceLimit less than the generated insert records num.
     */
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("000", 400)));
    InputBatch<JavaRDD<GenericRecord>> fetch1 = kafkaSource.fetchNewDataInAvroFormat(Option.empty(), 300);
    assertEquals(300, fetch1.getBatch().get().count());
    /*
     2. Produce new data, extract new data based on sourceLimit
     and sourceLimit less than the generated insert records num.
     */
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("001", 600)));
    InputBatch<Dataset<Row>> fetch2 = kafkaSource.fetchNewDataInRowFormat(Option.of(fetch1.getCheckpointForNextBatch()), 300);
    assertEquals(300, fetch2.getBatch().get().count());
}

Example 77 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestJsonKafkaSource method createPropsForJsonSource.

protected TypedProperties createPropsForJsonSource(String topic, Long maxEventsToReadFromKafkaSource, String resetStrategy) {
    TypedProperties props = new TypedProperties();
    props.setProperty("hoodie.deltastreamer.source.kafka.topic", topic);
    props.setProperty("bootstrap.servers", testUtils.brokerAddress());
    props.setProperty("auto.offset.reset", resetStrategy);
    props.setProperty(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "false");
    props.setProperty("hoodie.deltastreamer.kafka.source.maxEvents", maxEventsToReadFromKafkaSource != null ? String.valueOf(maxEventsToReadFromKafkaSource) : String.valueOf(Config.MAX_EVENTS_FROM_KAFKA_SOURCE_PROP.defaultValue()));
    props.setProperty(ConsumerConfig.GROUP_ID_CONFIG, UUID.randomUUID().toString());
    return props;
}

Example 78 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestJsonKafkaSource method testJsonKafkaSourceWithDefaultUpperCap.

@Test
public void testJsonKafkaSourceWithDefaultUpperCap() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testJsonKafkaSourceWithDefaultUpperCap";
    testUtils.createTopic(topic, 2);
    HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
    TypedProperties props = createPropsForJsonSource(topic, Long.MAX_VALUE, "earliest");
    Source jsonSource = new JsonKafkaSource(props, jsc(), spark(), schemaProvider, metrics);
    SourceFormatAdapter kafkaSource = new SourceFormatAdapter(jsonSource);
    /*
    1. Extract without any checkpoint => get all the data, respecting default upper cap since both sourceLimit and
    maxEventsFromKafkaSourceProp are set to Long.MAX_VALUE
     */
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
    InputBatch<JavaRDD<GenericRecord>> fetch1 = kafkaSource.fetchNewDataInAvroFormat(Option.empty(), Long.MAX_VALUE);
    assertEquals(1000, fetch1.getBatch().get().count());
    // 2. Produce new data, extract new data based on sourceLimit
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("001", 1000)));
    InputBatch<Dataset<Row>> fetch2 = kafkaSource.fetchNewDataInRowFormat(Option.of(fetch1.getCheckpointForNextBatch()), 1500);
    assertEquals(1000, fetch2.getBatch().get().count());
}

Example 79 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestJsonKafkaSource method testCommitOffsetToKafka.

@Test
public void testCommitOffsetToKafka() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testCommitOffsetToKafka";
    testUtils.createTopic(topic, 2);
    List<TopicPartition> topicPartitions = new ArrayList<>();
    TopicPartition topicPartition0 = new TopicPartition(topic, 0);
    topicPartitions.add(topicPartition0);
    TopicPartition topicPartition1 = new TopicPartition(topic, 1);
    topicPartitions.add(topicPartition1);
    HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
    TypedProperties props = createPropsForJsonSource(topic, null, "earliest");
    props.put(ENABLE_KAFKA_COMMIT_OFFSET.key(), "true");
    Source jsonSource = new JsonKafkaSource(props, jsc(), spark(), schemaProvider, metrics);
    SourceFormatAdapter kafkaSource = new SourceFormatAdapter(jsonSource);
    // 1. Extract without any checkpoint => get all the data, respecting sourceLimit
    assertEquals(Option.empty(), kafkaSource.fetchNewDataInAvroFormat(Option.empty(), Long.MAX_VALUE).getBatch());
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
    InputBatch<JavaRDD<GenericRecord>> fetch1 = kafkaSource.fetchNewDataInAvroFormat(Option.empty(), 599);
    // commit to kafka after first batch
    kafkaSource.getSource().onCommit(fetch1.getCheckpointForNextBatch());
    try (KafkaConsumer consumer = new KafkaConsumer(props)) {
        consumer.assign(topicPartitions);
        OffsetAndMetadata offsetAndMetadata = consumer.committed(topicPartition0);
        assertNotNull(offsetAndMetadata);
        assertEquals(300, offsetAndMetadata.offset());
        offsetAndMetadata = consumer.committed(topicPartition1);
        assertNotNull(offsetAndMetadata);
        assertEquals(299, offsetAndMetadata.offset());
        // end offsets will point to 500 for each partition because we consumed less messages from first batch
        Map endOffsets = consumer.endOffsets(topicPartitions);
        assertEquals(500L, endOffsets.get(topicPartition0));
        assertEquals(500L, endOffsets.get(topicPartition1));
        testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("001", 500)));
        InputBatch<Dataset<Row>> fetch2 = kafkaSource.fetchNewDataInRowFormat(Option.of(fetch1.getCheckpointForNextBatch()), Long.MAX_VALUE);
        // commit to Kafka after second batch is processed completely
        kafkaSource.getSource().onCommit(fetch2.getCheckpointForNextBatch());
        offsetAndMetadata = consumer.committed(topicPartition0);
        assertNotNull(offsetAndMetadata);
        assertEquals(750, offsetAndMetadata.offset());
        offsetAndMetadata = consumer.committed(topicPartition1);
        assertNotNull(offsetAndMetadata);
        assertEquals(750, offsetAndMetadata.offset());
        endOffsets = consumer.endOffsets(topicPartitions);
        assertEquals(750L, endOffsets.get(topicPartition0));
        assertEquals(750L, endOffsets.get(topicPartition1));
    }
    // check failure case
    props.remove(ConsumerConfig.GROUP_ID_CONFIG);
    assertThrows(HoodieNotSupportedException.class, () -> kafkaSource.getSource().onCommit(""));
}

Example 80 with TypedProperties

use of org.apache.hudi.common.config.TypedProperties in project hudi by apache.

the class TestJsonKafkaSourcePostProcessor method testChainedJsonKafkaSourcePostProcessor.

@Test
public void testChainedJsonKafkaSourcePostProcessor() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testChainedJsonKafkaSourcePostProcessor";
    testUtils.createTopic(topic, 2);
    HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
    TypedProperties props = createPropsForJsonSource(topic, null, "earliest");
    // processor class name setup
    props.setProperty(JSON_KAFKA_PROCESSOR_CLASS_OPT.key(), SampleJsonKafkaSourcePostProcessor.class.getName() + "," + DummyJsonKafkaSourcePostProcessor.class.getName());
    Source jsonSource = new JsonKafkaSource(props, jsc(), spark(), schemaProvider, metrics);
    SourceFormatAdapter kafkaSource = new SourceFormatAdapter(jsonSource);
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
    InputBatch<JavaRDD<GenericRecord>> fetch1 = kafkaSource.fetchNewDataInAvroFormat(Option.empty(), 900);
    assertEquals(0, fetch1.getBatch().get().count());
}