Examples with DataplexJdbcIngestionOptions com.google.cloud.teleport.v2.options.DataplexJdbcIngestionOptions used on opensource projects

Example 1 with DataplexJdbcIngestionOptions

use of com.google.cloud.teleport.v2.options.DataplexJdbcIngestionOptions in project DataflowTemplates by GoogleCloudPlatform.

the class DataplexJdbcIngestion method main.

/**
 * Main entry point for pipeline execution.
 *
 * @param args Command line arguments to the pipeline.
 */
public static void main(String[] args) throws IOException {
    DataplexJdbcIngestionOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(DataplexJdbcIngestionOptions.class);
    Pipeline pipeline = Pipeline.create(options);
    DataplexClient dataplexClient = DefaultDataplexClient.withDefaultClient(options.getGcpCredential());
    String assetName = options.getOutputAsset();
    GoogleCloudDataplexV1Asset asset = resolveAsset(assetName, dataplexClient);
    DynamicDataSourceConfiguration dataSourceConfig = configDataSource(options);
    String assetType = asset.getResourceSpec().getType();
    if (DataplexAssetResourceSpec.BIGQUERY_DATASET.name().equals(assetType)) {
        buildBigQueryPipeline(pipeline, options, dataSourceConfig);
    } else if (DataplexAssetResourceSpec.STORAGE_BUCKET.name().equals(assetType)) {
        String targetRootPath = "gs://" + asset.getResourceSpec().getName() + "/" + options.getOutputTable();
        buildGcsPipeline(pipeline, options, dataSourceConfig, targetRootPath);
    } else {
        throw new IllegalArgumentException(String.format("Asset " + assetName + " is of type " + assetType + ". Only " + DataplexAssetResourceSpec.BIGQUERY_DATASET.name() + "and " + DataplexAssetResourceSpec.STORAGE_BUCKET.name() + " supported."));
    }
    pipeline.run();
}

Example 2 with DataplexJdbcIngestionOptions

use of com.google.cloud.teleport.v2.options.DataplexJdbcIngestionOptions in project DataflowTemplates by GoogleCloudPlatform.

the class DataplexJdbcIngestion method buildGcsPipeline.

@VisibleForTesting
static void buildGcsPipeline(Pipeline pipeline, DataplexJdbcIngestionOptions options, DynamicDataSourceConfiguration dataSourceConfig, String 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));
    // Write to GCS bucket
    PCollection<PartitionMetadata> metadata = genericRecords.apply("Write to GCS", new GenericRecordsToGcsPartitioned(targetRootPath, Schemas.serialize(avroSchema), options.getParitionColumn(), options.getPartitioningScheme(), options.getFileFormat()));
}