Examples with SourceFormatAdapter org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter used on opensource projects

Example 1 with SourceFormatAdapter

use of org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter in project hudi by apache.

the class TestJsonKafkaSource method testJsonKafkaSourceResetStrategy.

// test case with kafka offset reset strategy
@Test
public void testJsonKafkaSourceResetStrategy() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testJsonKafkaSourceResetStrategy";
    testUtils.createTopic(topic, 2);
    HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
    TypedProperties earliestProps = createPropsForJsonSource(topic, null, "earliest");
    Source earliestJsonSource = new JsonKafkaSource(earliestProps, jsc(), spark(), schemaProvider, metrics);
    SourceFormatAdapter earliestKafkaSource = new SourceFormatAdapter(earliestJsonSource);
    TypedProperties latestProps = createPropsForJsonSource(topic, null, "latest");
    Source latestJsonSource = new JsonKafkaSource(latestProps, jsc(), spark(), schemaProvider, metrics);
    SourceFormatAdapter latestKafkaSource = new SourceFormatAdapter(latestJsonSource);
    // 1. Extract with a none data kafka checkpoint
    // => get a checkpoint string like "hoodie_test,0:0,1:0", latest checkpoint should be equals to earliest checkpoint
    InputBatch<JavaRDD<GenericRecord>> earFetch0 = earliestKafkaSource.fetchNewDataInAvroFormat(Option.empty(), Long.MAX_VALUE);
    InputBatch<JavaRDD<GenericRecord>> latFetch0 = latestKafkaSource.fetchNewDataInAvroFormat(Option.empty(), Long.MAX_VALUE);
    assertEquals(earFetch0.getBatch(), latFetch0.getBatch());
    assertEquals(earFetch0.getCheckpointForNextBatch(), latFetch0.getCheckpointForNextBatch());
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
    // 2. Extract new checkpoint with a null / empty string pre checkpoint
    // => earliest fetch with max source limit will get all of data and a end offset checkpoint
    InputBatch<JavaRDD<GenericRecord>> earFetch1 = earliestKafkaSource.fetchNewDataInAvroFormat(Option.empty(), Long.MAX_VALUE);
    // => [a null pre checkpoint] latest reset fetch will get a end offset checkpoint same to earliest
    InputBatch<JavaRDD<GenericRecord>> latFetch1 = latestKafkaSource.fetchNewDataInAvroFormat(Option.empty(), Long.MAX_VALUE);
    assertEquals(earFetch1.getCheckpointForNextBatch(), latFetch1.getCheckpointForNextBatch());
}

Example 2 with SourceFormatAdapter

use of org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter in project hudi by apache.

the class TestJsonKafkaSource method testJsonKafkaSource.

@Test
public void testJsonKafkaSource() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testJsonKafkaSource";
    testUtils.createTopic(topic, 2);
    HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
    TypedProperties props = createPropsForJsonSource(topic, null, "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 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(), 900);
    assertEquals(900, fetch1.getBatch().get().count());
    // Test Avro To DataFrame<Row> path
    Dataset<Row> fetch1AsRows = AvroConversionUtils.createDataFrame(JavaRDD.toRDD(fetch1.getBatch().get()), schemaProvider.getSourceSchema().toString(), jsonSource.getSparkSession());
    assertEquals(900, fetch1AsRows.count());
    // 2. Produce new data, extract new data
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("001", 1000)));
    InputBatch<Dataset<Row>> fetch2 = kafkaSource.fetchNewDataInRowFormat(Option.of(fetch1.getCheckpointForNextBatch()), Long.MAX_VALUE);
    assertEquals(1100, fetch2.getBatch().get().count());
    // 3. Extract with previous checkpoint => gives same data back (idempotent)
    InputBatch<JavaRDD<GenericRecord>> fetch3 = kafkaSource.fetchNewDataInAvroFormat(Option.of(fetch1.getCheckpointForNextBatch()), Long.MAX_VALUE);
    assertEquals(fetch2.getBatch().get().count(), fetch3.getBatch().get().count());
    assertEquals(fetch2.getCheckpointForNextBatch(), fetch3.getCheckpointForNextBatch());
    // Same using Row API
    InputBatch<Dataset<Row>> fetch3AsRows = kafkaSource.fetchNewDataInRowFormat(Option.of(fetch1.getCheckpointForNextBatch()), Long.MAX_VALUE);
    assertEquals(fetch2.getBatch().get().count(), fetch3AsRows.getBatch().get().count());
    assertEquals(fetch2.getCheckpointForNextBatch(), fetch3AsRows.getCheckpointForNextBatch());
    // 4. Extract with latest checkpoint => no new data returned
    InputBatch<JavaRDD<GenericRecord>> fetch4 = kafkaSource.fetchNewDataInAvroFormat(Option.of(fetch2.getCheckpointForNextBatch()), Long.MAX_VALUE);
    assertEquals(Option.empty(), fetch4.getBatch());
    // Same using Row API
    InputBatch<Dataset<Row>> fetch4AsRows = kafkaSource.fetchNewDataInRowFormat(Option.of(fetch2.getCheckpointForNextBatch()), Long.MAX_VALUE);
    assertEquals(Option.empty(), fetch4AsRows.getBatch());
}

Example 3 with SourceFormatAdapter

use of org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter in project hudi by apache.

the class TestJsonKafkaSource method testJsonKafkaSourceWithConfigurableUpperCap.

@Test
public void testJsonKafkaSourceWithConfigurableUpperCap() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testJsonKafkaSourceWithConfigurableUpperCap";
    testUtils.createTopic(topic, 2);
    HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator();
    TypedProperties props = createPropsForJsonSource(topic, 500L, "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 sourceLimit
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
    InputBatch<JavaRDD<GenericRecord>> fetch1 = kafkaSource.fetchNewDataInAvroFormat(Option.empty(), 900);
    assertEquals(900, fetch1.getBatch().get().count());
    // 2. Produce new data, extract new data based on upper cap
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("001", 1000)));
    InputBatch<Dataset<Row>> fetch2 = kafkaSource.fetchNewDataInRowFormat(Option.of(fetch1.getCheckpointForNextBatch()), Long.MAX_VALUE);
    assertEquals(500, fetch2.getBatch().get().count());
    // fetch data respecting source limit where upper cap > sourceLimit
    InputBatch<JavaRDD<GenericRecord>> fetch3 = kafkaSource.fetchNewDataInAvroFormat(Option.of(fetch1.getCheckpointForNextBatch()), 400);
    assertEquals(400, fetch3.getBatch().get().count());
    // fetch data respecting source limit where upper cap < sourceLimit
    InputBatch<JavaRDD<GenericRecord>> fetch4 = kafkaSource.fetchNewDataInAvroFormat(Option.of(fetch2.getCheckpointForNextBatch()), 600);
    assertEquals(600, fetch4.getBatch().get().count());
    // 3. Extract with previous checkpoint => gives same data back (idempotent)
    InputBatch<JavaRDD<GenericRecord>> fetch5 = kafkaSource.fetchNewDataInAvroFormat(Option.of(fetch1.getCheckpointForNextBatch()), Long.MAX_VALUE);
    assertEquals(fetch2.getBatch().get().count(), fetch5.getBatch().get().count());
    assertEquals(fetch2.getCheckpointForNextBatch(), fetch5.getCheckpointForNextBatch());
    // 4. Extract with latest checkpoint => no new data returned
    InputBatch<JavaRDD<GenericRecord>> fetch6 = kafkaSource.fetchNewDataInAvroFormat(Option.of(fetch4.getCheckpointForNextBatch()), Long.MAX_VALUE);
    assertEquals(Option.empty(), fetch6.getBatch());
}

Example 4 with SourceFormatAdapter

use of org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter in project hudi by apache.

the class TestJsonKafkaSourcePostProcessor method testInvalidJsonKafkaSourcePostProcessor.

@Test
public void testInvalidJsonKafkaSourcePostProcessor() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testInvalidJsonKafkaSourcePostProcessor";
    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(), "InvalidJsonKafkaSourcePostProcessor");
    Source jsonSource = new JsonKafkaSource(props, jsc(), spark(), schemaProvider, metrics);
    SourceFormatAdapter kafkaSource = new SourceFormatAdapter(jsonSource);
    testUtils.sendMessages(topic, jsonifyRecords(dataGenerator.generateInserts("000", 1000)));
    Assertions.assertThrows(HoodieSourcePostProcessException.class, () -> kafkaSource.fetchNewDataInAvroFormat(Option.empty(), 900));
}

Example 5 with SourceFormatAdapter

use of org.apache.hudi.utilities.deltastreamer.SourceFormatAdapter in project hudi by apache.

the class TestJsonKafkaSourcePostProcessor method testSampleJsonKafkaSourcePostProcessor.

@Test
public void testSampleJsonKafkaSourcePostProcessor() {
    // topic setup.
    final String topic = TEST_TOPIC_PREFIX + "testSampleJsonKafkaSourcePostProcessor";
    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());
    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);
    assertNotEquals(900, fetch1.getBatch().get().count());
}