Examples with DynamicJdbcIO com.google.cloud.teleport.v2.io.DynamicJdbcIO used on opensource projects

Example 1 with DynamicJdbcIO

use of com.google.cloud.teleport.v2.io.DynamicJdbcIO in project DataflowTemplates by GoogleCloudPlatform.

the class DataplexJdbcIngestion method buildGcsPipeline.

@VisibleForTesting
static void buildGcsPipeline(Pipeline pipeline, DataplexJdbcIngestionOptions options, DynamicDataSourceConfiguration dataSourceConfig, String targetRootPath) {
    List<String> existingFiles = StorageUtils.getFilesInDirectory(targetRootPath);
    // Auto inferring beam schema
    Schema beamSchema = Schemas.jdbcSchemaToBeamSchema(dataSourceConfig.buildDatasource(), options.getQuery());
    // Convert to Avro Schema
    org.apache.avro.Schema avroSchema = AvroUtils.toAvroSchema(beamSchema);
    // Read from JdbcIO and convert ResultSet to Beam Row
    PCollection<Row> resultRows = pipeline.apply("Read from JdbcIO", DynamicJdbcIO.<Row>read().withDataSourceConfiguration(dataSourceConfig).withQuery(options.getQuery()).withCoder(RowCoder.of(beamSchema)).withRowMapper(BeamSchemaUtil.of(beamSchema)));
    // Convert Beam Row to GenericRecord
    PCollection<GenericRecord> genericRecords = resultRows.apply("convert to GenericRecord", ParDo.of(new BeamRowToGenericRecordFn(avroSchema))).setCoder(AvroCoder.of(avroSchema));
    // existingFiles
    if (options.getParitionColumn() == null || options.getPartitioningScheme() == null) {
        if (shouldSkipUnpartitionedTable(options, targetRootPath, existingFiles)) {
            return;
        }
    } else {
        genericRecords = applyPartitionedWriteDispositionFilter(genericRecords, options, targetRootPath, avroSchema, existingFiles);
    }
    // Write to GCS bucket
    PCollection<PartitionMetadata> metadata = genericRecords.apply("Write to GCS", new GenericRecordsToGcsPartitioned(targetRootPath, Schemas.serialize(avroSchema), options.getParitionColumn(), options.getPartitioningScheme(), options.getFileFormat()));
}

Example 2 with DynamicJdbcIO

use of com.google.cloud.teleport.v2.io.DynamicJdbcIO in project DataflowTemplates by GoogleCloudPlatform.

the class JdbcToPubsub method run.

/**
 * Runs a pipeline which reads message from JdbcIO and writes to Pub/Sub.
 *
 * @param options The execution options.
 * @return The pipeline result.
 */
public static PipelineResult run(JdbcToPubsubOptions options) {
    // Create the pipeline
    Pipeline pipeline = Pipeline.create(options);
    LOG.info("Starting Jdbc-To-PubSub Pipeline.");
    /*
     * Steps:
     *  1) Read data from a Jdbc Table
     *  2) Write to Pub/Sub topic
     */
    DynamicJdbcIO.DynamicDataSourceConfiguration dataSourceConfiguration = DynamicJdbcIO.DynamicDataSourceConfiguration.create(options.getDriverClassName(), maybeDecrypt(options.getConnectionUrl(), options.getKMSEncryptionKey())).withDriverJars(options.getDriverJars());
    if (options.getUsername() != null) {
        dataSourceConfiguration = dataSourceConfiguration.withUsername(maybeDecrypt(options.getUsername(), options.getKMSEncryptionKey()));
    }
    if (options.getPassword() != null) {
        dataSourceConfiguration = dataSourceConfiguration.withPassword(maybeDecrypt(options.getPassword(), options.getKMSEncryptionKey()));
    }
    if (options.getConnectionProperties() != null) {
        dataSourceConfiguration = dataSourceConfiguration.withConnectionProperties(options.getConnectionProperties());
    }
    PCollection<String> jdbcData = pipeline.apply("readFromJdbc", DynamicJdbcIO.<String>read().withDataSourceConfiguration(dataSourceConfiguration).withQuery(options.getQuery()).withCoder(StringUtf8Coder.of()).withRowMapper(new ResultSetToJSONString()));
    jdbcData.apply("writeSuccessMessages", PubsubIO.writeStrings().to(options.getOutputTopic()));
    return pipeline.run();
}

Example 3 with DynamicJdbcIO

use of com.google.cloud.teleport.v2.io.DynamicJdbcIO in project DataflowTemplates by GoogleCloudPlatform.

the class PubsubToJdbc method run.

/**
 * Runs a pipeline which reads message from Pub/Sub and writes to JdbcIO.
 *
 * @param options The execution options.
 * @return The pipeline result.
 */
public static PipelineResult run(PubsubToJdbcOptions options) {
    // Create the pipeline
    Pipeline pipeline = Pipeline.create(options);
    LOG.info("Starting Pubsub-to-Jdbc Pipeline.");
    /*
     * Steps:
     *  1) Read data from a Pub/Sub subscription
     *  2) Write to Jdbc Table
     *  3) Write errors to deadletter topic
     */
    PCollection<String> pubsubData = pipeline.apply("readFromPubSubSubscription", PubsubIO.readStrings().fromSubscription(options.getInputSubscription()));
    DynamicJdbcIO.DynamicDataSourceConfiguration dataSourceConfiguration = DynamicJdbcIO.DynamicDataSourceConfiguration.create(options.getDriverClassName(), maybeDecrypt(options.getConnectionUrl(), options.getKMSEncryptionKey())).withDriverJars(options.getDriverJars());
    if (options.getUsername() != null) {
        dataSourceConfiguration = dataSourceConfiguration.withUsername(maybeDecrypt(options.getUsername(), options.getKMSEncryptionKey()));
    }
    if (options.getPassword() != null) {
        dataSourceConfiguration = dataSourceConfiguration.withPassword(maybeDecrypt(options.getPassword(), options.getKMSEncryptionKey()));
    }
    if (options.getConnectionProperties() != null) {
        dataSourceConfiguration = dataSourceConfiguration.withConnectionProperties(options.getConnectionProperties());
    }
    PCollection<FailsafeElement<String, String>> errors = pubsubData.apply("writeToJdbc", DynamicJdbcIO.<String>write().withDataSourceConfiguration(dataSourceConfiguration).withStatement(options.getStatement()).withPreparedStatementSetter(new MapJsonStringToQuery(getKeyOrder(options.getStatement())))).setCoder(FAILSAFE_ELEMENT_CODER);
    errors.apply("WriteFailedRecords", ErrorConverters.WriteStringMessageErrorsToPubSub.newBuilder().setErrorRecordsTopic(options.getOutputDeadletterTopic()).build());
    return pipeline.run();
}

Example 4 with DynamicJdbcIO

use of com.google.cloud.teleport.v2.io.DynamicJdbcIO in project DataflowTemplates by GoogleCloudPlatform.

the class DynamicJdbcIOTest method testReadRows.

@Test
@Category(NeedsRunner.class)
public void testReadRows() throws Exception {
    DynamicDataSourceConfiguration dataSourceConfig = DynamicJdbcIO.DynamicDataSourceConfiguration.create("org.apache.derby.jdbc.ClientDriver", maybeDecrypt("jdbc:derby://localhost:" + port + "/target/beam", null));
    String query = "select name, id from " + readTableName;
    org.apache.beam.sdk.schemas.Schema beamSchema = Schemas.jdbcSchemaToBeamSchema(dataSourceConfig.buildDatasource(), query);
    PCollection<Row> resultRows = pipeline.apply(DynamicJdbcIO.<Row>read().withDataSourceConfiguration(dataSourceConfig).withQuery(query).withCoder(RowCoder.of(beamSchema)).withRowMapper(BeamSchemaUtil.of(beamSchema)));
    PAssert.thatSingleton(resultRows.apply("Count", Count.globally())).isEqualTo((long) EXPECTED_ROW_COUNT);
    Schema schema = Schema.builder().addField("name", Schema.FieldType.STRING).addField("id", Schema.FieldType.INT32).build();
    List<Row> expectedList = Lists.newArrayListWithExpectedSize(EXPECTED_ROW_COUNT);
    for (int i = 0; i < EXPECTED_ROW_COUNT; i++) {
        Row row = Row.withSchema(schema).addValues(TEST_ROW_SUFFIX + "-" + i, i).build();
        expectedList.add(row);
    }
    PAssert.that(resultRows).containsInAnyOrder(expectedList);
    pipeline.run();
}