Java Code Examples for org.apache.flink.table.sources.TableSourceValidation#validateTableSource()

The following examples show how to use org.apache.flink.table.sources.TableSourceValidation#validateTableSource() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: FlinkPravegaTableFactoryTest.java    From flink-connectors with Apache License 2.0 6 votes vote down vote up 
/**
 * Stream table source expects 'update-mode' configuration to be passed.
 */
@Test (expected = NoMatchingTableFactoryException.class)
public void testMissingStreamMode() {

    Pravega pravega = new Pravega();
    Stream stream = Stream.of(SCOPE, STREAM);

    pravega.tableSourceReaderBuilder()
            .forStream(stream)
            .withPravegaConfig(PRAVEGA_CONFIG);

    final TestTableDescriptor testDesc = new TestTableDescriptor(pravega)
            .withFormat(JSON)
            .withSchema(SCHEMA);

    final Map<String, String> propertiesMap = testDesc.toProperties();

    final TableSource<?> source = TableFactoryService.find(StreamTableSourceFactory.class, propertiesMap)
            .createStreamTableSource(propertiesMap);
    TableSourceValidation.validateTableSource(source, TableSchema.builder()
            .field("name", DataTypes.STRING() )
            .field("age", DataTypes.INT())
            .build());
    fail("update mode configuration validation failed");
}
Example 2
Source File: JdbcTableSourceSinkFactoryTest.java    From flink with Apache License 2.0 6 votes vote down vote up 
@Test
public void testJdbcCommonProperties() {
	Map<String, String> properties = getBasicProperties();
	properties.put("connector.driver", "org.apache.derby.jdbc.EmbeddedDriver");
	properties.put("connector.username", "user");
	properties.put("connector.password", "pass");

	final StreamTableSource<?> actual = TableFactoryService.find(StreamTableSourceFactory.class, properties)
		.createStreamTableSource(properties);

	final JdbcOptions options = JdbcOptions.builder()
		.setDBUrl("jdbc:derby:memory:mydb")
		.setTableName("mytable")
		.setDriverName("org.apache.derby.jdbc.EmbeddedDriver")
		.setUsername("user")
		.setPassword("pass")
		.build();
	final JdbcTableSource expected = JdbcTableSource.builder()
		.setOptions(options)
		.setSchema(schema)
		.build();

	TableSourceValidation.validateTableSource(expected, schema);
	TableSourceValidation.validateTableSource(actual, schema);
	assertEquals(expected, actual);
}
Example 3
Source File: KafkaTableSourceSinkFactoryTestBase.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
@SuppressWarnings("unchecked")
public void testTableSource() {

	// prepare parameters for Kafka table source

	final TableSchema schema = TableSchema.builder()
		.field(FRUIT_NAME, Types.STRING())
		.field(COUNT, Types.DECIMAL())
		.field(EVENT_TIME, Types.SQL_TIMESTAMP())
		.field(PROC_TIME, Types.SQL_TIMESTAMP())
		.build();

	final List<RowtimeAttributeDescriptor> rowtimeAttributeDescriptors = Collections.singletonList(
		new RowtimeAttributeDescriptor(EVENT_TIME, new ExistingField(TIME), new AscendingTimestamps()));

	final Map<String, String> fieldMapping = new HashMap<>();
	fieldMapping.put(FRUIT_NAME, NAME);
	fieldMapping.put(NAME, NAME);
	fieldMapping.put(COUNT, COUNT);
	fieldMapping.put(TIME, TIME);

	final Map<KafkaTopicPartition, Long> specificOffsets = new HashMap<>();
	specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_0), OFFSET_0);
	specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_1), OFFSET_1);

	final TestDeserializationSchema deserializationSchema = new TestDeserializationSchema(
		TableSchema.builder()
			.field(NAME, Types.STRING())
			.field(COUNT, Types.DECIMAL())
			.field(TIME, Types.SQL_TIMESTAMP())
			.build()
			.toRowType()
	);

	final KafkaTableSourceBase expected = getExpectedKafkaTableSource(
		schema,
		Optional.of(PROC_TIME),
		rowtimeAttributeDescriptors,
		fieldMapping,
		TOPIC,
		KAFKA_PROPERTIES,
		deserializationSchema,
		StartupMode.SPECIFIC_OFFSETS,
		specificOffsets);

	TableSourceValidation.validateTableSource(expected);

	// construct table source using descriptors and table source factory

	final TestTableDescriptor testDesc = new TestTableDescriptor(
			new Kafka()
				.version(getKafkaVersion())
				.topic(TOPIC)
				.properties(KAFKA_PROPERTIES)
				.sinkPartitionerRoundRobin() // test if accepted although not needed
				.startFromSpecificOffsets(OFFSETS))
		.withFormat(new TestTableFormat())
		.withSchema(
			new Schema()
				.field(FRUIT_NAME, Types.STRING()).from(NAME)
				.field(COUNT, Types.DECIMAL()) // no from so it must match with the input
				.field(EVENT_TIME, Types.SQL_TIMESTAMP()).rowtime(
					new Rowtime().timestampsFromField(TIME).watermarksPeriodicAscending())
				.field(PROC_TIME, Types.SQL_TIMESTAMP()).proctime())
		.inAppendMode();

	final Map<String, String> propertiesMap = testDesc.toProperties();
	final TableSource<?> actualSource = TableFactoryService.find(StreamTableSourceFactory.class, propertiesMap)
		.createStreamTableSource(propertiesMap);

	assertEquals(expected, actualSource);

	// test Kafka consumer
	final KafkaTableSourceBase actualKafkaSource = (KafkaTableSourceBase) actualSource;
	final StreamExecutionEnvironmentMock mock = new StreamExecutionEnvironmentMock();
	actualKafkaSource.getDataStream(mock);
	assertTrue(getExpectedFlinkKafkaConsumer().isAssignableFrom(mock.sourceFunction.getClass()));
}
Example 4
Source File: FlinkPravegaTableSourceTest.java    From flink-connectors with Apache License 2.0 4 votes vote down vote up 
@Test
@SuppressWarnings("unchecked")
public void testTableSourceDescriptor() {
    final String cityName = "fruitName";
    final String total = "count";
    final String eventTime = "eventTime";
    final String procTime = "procTime";
    final String controllerUri = "tcp://localhost:9090";
    final long delay = 3000L;
    final String streamName = "test";
    final String scopeName = "test";

    final TableSchema tableSchema = TableSchema.builder()
            .field(cityName, DataTypes.STRING())
            .field(total, DataTypes.BIGINT())
            .field(eventTime, DataTypes.TIMESTAMP(3))
            .field(procTime, DataTypes.TIMESTAMP(3))
            .build();

    Stream stream = Stream.of(scopeName, streamName);
    PravegaConfig pravegaConfig = PravegaConfig.fromDefaults()
            .withControllerURI(URI.create(controllerUri))
            .withDefaultScope(scopeName);

    // construct table source using descriptors and table source factory
    Pravega pravega = new Pravega();
    pravega.tableSourceReaderBuilder()
            .withReaderGroupScope(stream.getScope())
            .forStream(stream)
            .withPravegaConfig(pravegaConfig);

    final TestTableDescriptor testDesc = new TestTableDescriptor(pravega)
            .withFormat(new Json().failOnMissingField(false))
            .withSchema(
                    new Schema()
                            .field(cityName, DataTypes.STRING())
                            .field(total, DataTypes.BIGINT())
                            .field(eventTime, DataTypes.TIMESTAMP(3))
                                .rowtime(new Rowtime()
                                            .timestampsFromField(eventTime)
                                            .watermarksFromStrategy(new BoundedOutOfOrderTimestamps(delay))
                                        )
                            .field(procTime, DataTypes.TIMESTAMP(3)).proctime())
            .inAppendMode();

    final Map<String, String> propertiesMap = testDesc.toProperties();
    final TableSource<?> actualSource = TableFactoryService.find(StreamTableSourceFactory.class, propertiesMap)
            .createStreamTableSource(propertiesMap);
    assertNotNull(actualSource);
    TableSourceValidation.validateTableSource(actualSource, tableSchema);
}
Example 5
Source File: FlinkPravegaTableSourceTest.java    From flink-connectors with Apache License 2.0 4 votes vote down vote up 
@Test
@SuppressWarnings("unchecked")
public void testTableSourceDescriptorWithWatermark() {
    final String cityName = "fruitName";
    final String total = "count";
    final String eventTime = "eventTime";
    final String controllerUri = "tcp://localhost:9090";
    final String streamName = "test";
    final String scopeName = "test";

    Stream stream = Stream.of(scopeName, streamName);
    PravegaConfig pravegaConfig = PravegaConfig.fromDefaults()
            .withControllerURI(URI.create(controllerUri))
            .withDefaultScope(scopeName);

    // construct table source using descriptors and table source factory
    Pravega pravega = new Pravega();
    pravega.tableSourceReaderBuilder()
            .withTimestampAssigner(new MyAssigner())
            .withReaderGroupScope(stream.getScope())
            .forStream(stream)
            .withPravegaConfig(pravegaConfig);

    final TableSchema tableSchema = TableSchema.builder()
            .field(cityName, DataTypes.STRING())
            .field(total, DataTypes.INT())
            .field(eventTime, DataTypes.TIMESTAMP(3))
            .build();

    final TestTableDescriptor testDesc = new TestTableDescriptor(pravega)
            .withFormat(new Json().failOnMissingField(false))
            .withSchema(
                    new Schema()
                            .field(cityName, DataTypes.STRING())
                            .field(total, DataTypes.INT())
                            .field(eventTime, DataTypes.TIMESTAMP(3))
                            .rowtime(new Rowtime()
                                    .timestampsFromSource()
                                    .watermarksFromSource()
                            ))
            .inAppendMode();

    final Map<String, String> propertiesMap = testDesc.toProperties();
    final TableSource<?> actualSource = TableFactoryService.find(StreamTableSourceFactory.class, propertiesMap)
            .createStreamTableSource(propertiesMap);
    assertNotNull(actualSource);
    TableSourceValidation.validateTableSource(actualSource, tableSchema);
}
Example 6
Source File: KafkaTableSourceSinkFactoryTestBase.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
@SuppressWarnings("unchecked")
public void testTableSource() {
	// prepare parameters for Kafka table source
	final TableSchema schema = TableSchema.builder()
		.field(FRUIT_NAME, DataTypes.STRING())
		.field(COUNT, DataTypes.DECIMAL(38, 18))
		.field(EVENT_TIME, DataTypes.TIMESTAMP(3))
		.field(PROC_TIME, DataTypes.TIMESTAMP(3))
		.build();

	final List<RowtimeAttributeDescriptor> rowtimeAttributeDescriptors = Collections.singletonList(
		new RowtimeAttributeDescriptor(EVENT_TIME, new ExistingField(TIME), new AscendingTimestamps()));

	final Map<String, String> fieldMapping = new HashMap<>();
	fieldMapping.put(FRUIT_NAME, NAME);
	fieldMapping.put(NAME, NAME);
	fieldMapping.put(COUNT, COUNT);
	fieldMapping.put(TIME, TIME);

	final Map<KafkaTopicPartition, Long> specificOffsets = new HashMap<>();
	specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_0), OFFSET_0);
	specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_1), OFFSET_1);

	final TestDeserializationSchema deserializationSchema = new TestDeserializationSchema(
		TableSchema.builder()
			.field(NAME, DataTypes.STRING())
			.field(COUNT, DataTypes.DECIMAL(38, 18))
			.field(TIME, DataTypes.TIMESTAMP(3))
			.build().toRowType()
	);

	final KafkaTableSourceBase expected = getExpectedKafkaTableSource(
		schema,
		Optional.of(PROC_TIME),
		rowtimeAttributeDescriptors,
		fieldMapping,
		TOPIC,
		KAFKA_PROPERTIES,
		deserializationSchema,
		StartupMode.SPECIFIC_OFFSETS,
		specificOffsets,
		0L);

	TableSourceValidation.validateTableSource(expected, schema);

	// construct table source using descriptors and table source factory
	final Map<String, String> propertiesMap = new HashMap<>();
	propertiesMap.putAll(createKafkaSourceProperties());
	propertiesMap.put("schema.watermark.0.rowtime", EVENT_TIME);
	propertiesMap.put("schema.watermark.0.strategy.expr", WATERMARK_EXPRESSION);
	propertiesMap.put("schema.watermark.0.strategy.data-type", WATERMARK_DATATYPE.toString());
	propertiesMap.put("schema.4.name", COMPUTED_COLUMN_NAME);
	propertiesMap.put("schema.4.data-type", COMPUTED_COLUMN_DATATYPE.toString());
	propertiesMap.put("schema.4.expr", COMPUTED_COLUMN_EXPRESSION);

	final TableSource<?> actualSource = TableFactoryService.find(StreamTableSourceFactory.class, propertiesMap)
		.createStreamTableSource(propertiesMap);

	assertEquals(expected, actualSource);

	// test Kafka consumer
	final KafkaTableSourceBase actualKafkaSource = (KafkaTableSourceBase) actualSource;
	final StreamExecutionEnvironmentMock mock = new StreamExecutionEnvironmentMock();
	actualKafkaSource.getDataStream(mock);
	assertTrue(getExpectedFlinkKafkaConsumer().isAssignableFrom(mock.sourceFunction.getClass()));
	// Test commitOnCheckpoints flag should be true when set consumer group.
	assertTrue(((FlinkKafkaConsumerBase) mock.sourceFunction).getEnableCommitOnCheckpoints());
}
Example 7
Source File: KafkaTableSourceSinkFactoryTestBase.java    From flink with Apache License 2.0 4 votes vote down vote up 
@Test
@SuppressWarnings("unchecked")
public void testTableSourceWithLegacyProperties() {
	// prepare parameters for Kafka table source
	final TableSchema schema = TableSchema.builder()
		.field(FRUIT_NAME, DataTypes.STRING())
		.field(COUNT, DataTypes.DECIMAL(38, 18))
		.field(EVENT_TIME, DataTypes.TIMESTAMP(3))
		.field(PROC_TIME, DataTypes.TIMESTAMP(3))
		.build();

	final List<RowtimeAttributeDescriptor> rowtimeAttributeDescriptors = Collections.singletonList(
		new RowtimeAttributeDescriptor(EVENT_TIME, new ExistingField(TIME), new AscendingTimestamps()));

	final Map<String, String> fieldMapping = new HashMap<>();
	fieldMapping.put(FRUIT_NAME, NAME);
	fieldMapping.put(NAME, NAME);
	fieldMapping.put(COUNT, COUNT);
	fieldMapping.put(TIME, TIME);

	final Map<KafkaTopicPartition, Long> specificOffsets = new HashMap<>();
	specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_0), OFFSET_0);
	specificOffsets.put(new KafkaTopicPartition(TOPIC, PARTITION_1), OFFSET_1);

	final TestDeserializationSchema deserializationSchema = new TestDeserializationSchema(
		TableSchema.builder()
			.field(NAME, DataTypes.STRING())
			.field(COUNT, DataTypes.DECIMAL(38, 18))
			.field(TIME, DataTypes.TIMESTAMP(3))
			.build().toRowType()
	);

	final KafkaTableSourceBase expected = getExpectedKafkaTableSource(
		schema,
		Optional.of(PROC_TIME),
		rowtimeAttributeDescriptors,
		fieldMapping,
		TOPIC,
		KAFKA_PROPERTIES,
		deserializationSchema,
		StartupMode.SPECIFIC_OFFSETS,
		specificOffsets,
		0L);

	TableSourceValidation.validateTableSource(expected, schema);

	// construct table source using descriptors and table source factory
	final Map<String, String> legacyPropertiesMap = new HashMap<>();
	legacyPropertiesMap.putAll(createKafkaSourceProperties());

	// use legacy properties
	legacyPropertiesMap.remove("connector.specific-offsets");
	legacyPropertiesMap.remove("connector.properties.bootstrap.servers");
	legacyPropertiesMap.remove("connector.properties.group.id");

	// keep compatible with a specified update-mode
	legacyPropertiesMap.put("update-mode", "append");

	// legacy properties for specific-offsets and properties
	legacyPropertiesMap.put("connector.specific-offsets.0.partition", "0");
	legacyPropertiesMap.put("connector.specific-offsets.0.offset", "100");
	legacyPropertiesMap.put("connector.specific-offsets.1.partition", "1");
	legacyPropertiesMap.put("connector.specific-offsets.1.offset", "123");
	legacyPropertiesMap.put("connector.properties.0.key", "bootstrap.servers");
	legacyPropertiesMap.put("connector.properties.0.value", "dummy");
	legacyPropertiesMap.put("connector.properties.1.key", "group.id");
	legacyPropertiesMap.put("connector.properties.1.value", "dummy");

	final TableSource<?> actualSource = TableFactoryService.find(StreamTableSourceFactory.class, legacyPropertiesMap)
		.createStreamTableSource(legacyPropertiesMap);

	assertEquals(expected, actualSource);

	// test Kafka consumer
	final KafkaTableSourceBase actualKafkaSource = (KafkaTableSourceBase) actualSource;
	final StreamExecutionEnvironmentMock mock = new StreamExecutionEnvironmentMock();
	actualKafkaSource.getDataStream(mock);
	assertTrue(getExpectedFlinkKafkaConsumer().isAssignableFrom(mock.sourceFunction.getClass()));
}
Example 8
Source File: TableEnvironmentImpl.java    From flink with Apache License 2.0 2 votes vote down vote up 
/**
 * Subclasses can override this method to add additional checks.
 *
 * @param tableSource tableSource to validate
 */
protected void validateTableSource(TableSource<?> tableSource) {
	TableSourceValidation.validateTableSource(tableSource);
}
Example 9
Source File: TableEnvironmentImpl.java    From flink with Apache License 2.0 2 votes vote down vote up 
/**
 * Subclasses can override this method to add additional checks.
 *
 * @param tableSource tableSource to validate
 */
protected void validateTableSource(TableSource<?> tableSource) {
	TableSourceValidation.validateTableSource(tableSource, tableSource.getTableSchema());
}