Examples with Options com.google.cloud.teleport.v2.transforms.DeleteBigQueryDataFn.Options used on opensource projects

Example 41 with Options

use of com.google.cloud.teleport.v2.transforms.DeleteBigQueryDataFn.Options in project DataflowTemplates by GoogleCloudPlatform.

the class KafkaToBigQuery method run.

/**
 * Runs the pipeline to completion with the specified options. This method does not wait until the
 * pipeline is finished before returning. Invoke {@code result.waitUntilFinish()} on the result
 * object to block until the pipeline is finished running if blocking programmatic execution is
 * required.
 *
 * @param options The execution options.
 * @return The pipeline result.
 */
public static PipelineResult run(KafkaToBQOptions options) {
    // Create the pipeline
    Pipeline pipeline = Pipeline.create(options);
    // Register the coder for pipeline
    FailsafeElementCoder<KV<String, String>, String> coder = FailsafeElementCoder.of(KvCoder.of(NullableCoder.of(StringUtf8Coder.of()), NullableCoder.of(StringUtf8Coder.of())), NullableCoder.of(StringUtf8Coder.of()));
    CoderRegistry coderRegistry = pipeline.getCoderRegistry();
    coderRegistry.registerCoderForType(coder.getEncodedTypeDescriptor(), coder);
    List<String> topicsList;
    if (options.getKafkaReadTopics() != null) {
        topicsList = new ArrayList<>(Arrays.asList(options.getKafkaReadTopics().split(",")));
    } else if (options.getInputTopics() != null) {
        topicsList = new ArrayList<>(Arrays.asList(options.getInputTopics().split(",")));
    } else {
        throw new IllegalArgumentException("Please Provide --kafkaReadTopic");
    }
    String bootstrapServers;
    if (options.getReadBootstrapServers() != null) {
        bootstrapServers = options.getReadBootstrapServers();
    } else if (options.getBootstrapServers() != null) {
        bootstrapServers = options.getBootstrapServers();
    } else {
        throw new IllegalArgumentException("Please Provide --bootstrapServers");
    }
    /*
     * Steps:
     *  1) Read messages in from Kafka
     *  2) Transform the messages into TableRows
     *     - Transform message payload via UDF
     *     - Convert UDF result to TableRow objects
     *  3) Write successful records out to BigQuery
     *  4) Write failed records out to BigQuery
     */
    PCollectionTuple convertedTableRows = pipeline.apply("ReadFromKafka", readFromKafka(bootstrapServers, topicsList, ImmutableMap.of(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest"), null)).apply("ConvertMessageToTableRow", new MessageToTableRow(options));
    /*
     * Step #3: Write the successful records out to BigQuery
     */
    WriteResult writeResult = convertedTableRows.get(TRANSFORM_OUT).apply("WriteSuccessfulRecords", BigQueryIO.writeTableRows().withoutValidation().withCreateDisposition(CreateDisposition.CREATE_NEVER).withWriteDisposition(WriteDisposition.WRITE_APPEND).withExtendedErrorInfo().withMethod(BigQueryIO.Write.Method.STREAMING_INSERTS).withFailedInsertRetryPolicy(InsertRetryPolicy.retryTransientErrors()).to(options.getOutputTableSpec()));
    /*
     * Step 3 Contd.
     * Elements that failed inserts into BigQuery are extracted and converted to FailsafeElement
     */
    PCollection<FailsafeElement<String, String>> failedInserts = writeResult.getFailedInsertsWithErr().apply("WrapInsertionErrors", MapElements.into(FAILSAFE_ELEMENT_CODER.getEncodedTypeDescriptor()).via(KafkaToBigQuery::wrapBigQueryInsertError)).setCoder(FAILSAFE_ELEMENT_CODER);
    /*
     * Step #4: Write failed records out to BigQuery
     */
    PCollectionList.of(convertedTableRows.get(UDF_DEADLETTER_OUT)).and(convertedTableRows.get(TRANSFORM_DEADLETTER_OUT)).apply("Flatten", Flatten.pCollections()).apply("WriteTransformationFailedRecords", WriteKafkaMessageErrors.newBuilder().setErrorRecordsTable(ObjectUtils.firstNonNull(options.getOutputDeadletterTable(), options.getOutputTableSpec() + DEFAULT_DEADLETTER_TABLE_SUFFIX)).setErrorRecordsTableSchema(SchemaUtils.DEADLETTER_SCHEMA).build());
    /*
     * Step #5: Insert records that failed BigQuery inserts into a deadletter table.
     */
    failedInserts.apply("WriteInsertionFailedRecords", ErrorConverters.WriteStringMessageErrors.newBuilder().setErrorRecordsTable(ObjectUtils.firstNonNull(options.getOutputDeadletterTable(), options.getOutputTableSpec() + DEFAULT_DEADLETTER_TABLE_SUFFIX)).setErrorRecordsTableSchema(SchemaUtils.DEADLETTER_SCHEMA).build());
    return pipeline.run();
}

Example 42 with Options

use of com.google.cloud.teleport.v2.transforms.DeleteBigQueryDataFn.Options in project DataflowTemplates by GoogleCloudPlatform.

the class KafkaToBigQueryTest method testKafkaToBigQueryE2E.

/**
 * Tests the {@link KafkaToBigQuery} pipeline end-to-end.
 */
@Test
public void testKafkaToBigQueryE2E() throws Exception {
    // Test input
    final String key = "{\"id\": \"1001\"}";
    final String badKey = "{\"id\": \"1002\"}";
    final String payload = "{\"ticker\": \"GOOGL\", \"price\": 1006.94}";
    final String badPayload = "{\"tickets\": \"AMZ\", \"proctor\": 007";
    final KV<String, String> message = KV.of(key, payload);
    final KV<String, String> badMessage = KV.of(badKey, badPayload);
    final Instant timestamp = new DateTime(2022, 2, 22, 22, 22, 22, 222, DateTimeZone.UTC).toInstant();
    final FailsafeElementCoder<KV<String, String>, String> coder = FailsafeElementCoder.of(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of()), StringUtf8Coder.of());
    CoderRegistry coderRegistry = pipeline.getCoderRegistry();
    coderRegistry.registerCoderForType(coder.getEncodedTypeDescriptor(), coder);
    KafkaToBigQuery.KafkaToBQOptions options = PipelineOptionsFactory.create().as(KafkaToBigQuery.KafkaToBQOptions.class);
    options.setJavascriptTextTransformGcsPath(TRANSFORM_FILE_PATH);
    options.setJavascriptTextTransformFunctionName("transform");
    // Build pipeline
    PCollectionTuple transformOut = pipeline.apply("CreateInput", Create.of(message).withCoder(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of()))).apply("ConvertMessageToTableRow", new MessageToTableRow(options));
    // Assert
    PAssert.that(transformOut.get(KafkaToBigQuery.UDF_DEADLETTER_OUT)).empty();
    PAssert.that(transformOut.get(KafkaToBigQuery.TRANSFORM_DEADLETTER_OUT)).empty();
    PAssert.that(transformOut.get(KafkaToBigQuery.TRANSFORM_OUT)).satisfies(collection -> {
        TableRow result = collection.iterator().next();
        assertThat(result.get("ticker"), is(equalTo("GOOGL")));
        assertThat(result.get("price"), is(equalTo(1006.94)));
        return null;
    });
    // Execute pipeline
    pipeline.run();
    // Build pipeline with malformed payload
    PCollectionTuple badTransformOut = pipeline.apply("CreateBadInput", Create.of(badMessage).withCoder(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of()))).apply("ConvertMessageToTableRow", new MessageToTableRow(options));
    // Assert
    PAssert.that(badTransformOut.get(KafkaToBigQuery.UDF_DEADLETTER_OUT)).satisfies(collection -> {
        FailsafeElement badResult = collection.iterator().next();
        assertThat(badResult.getOriginalPayload(), is(equalTo(badMessage)));
        assertThat(badResult.getPayload(), is(equalTo(badPayload)));
        return null;
    });
    PAssert.that(badTransformOut.get(KafkaToBigQuery.TRANSFORM_DEADLETTER_OUT)).empty();
    PAssert.that(badTransformOut.get(KafkaToBigQuery.TRANSFORM_OUT)).empty();
    // Execute pipeline
    pipeline.run();
}

Example 43 with Options

use of com.google.cloud.teleport.v2.transforms.DeleteBigQueryDataFn.Options in project DataflowTemplates by GoogleCloudPlatform.

the class DeleteBigQueryDataFnTest method testTransform_withDeleteSourceDataEnabled_doesntTruncateSpecialPartitions.

/**
 * Test that DeleteBigQueryDataFn doesn't attempt to delete special BigQuery partitions even if
 * {@code deleteSourceData = true}.
 *
 * <p>As per <a
 * href="https://cloud.google.com/bigquery/docs/managing-partitioned-tables#delete_a_partition">
 * this documentation</a>, special partitions "__NULL__" and "__UNPARTITIONED__" cannot be
 * deleted.
 */
@Test
@Category(NeedsRunner.class)
public void testTransform_withDeleteSourceDataEnabled_doesntTruncateSpecialPartitions() {
    Options options = TestPipeline.testingPipelineOptions().as(Options.class);
    options.setDeleteSourceData(true);
    BigQueryTablePartition.Builder builder = BigQueryTablePartition.builder().setLastModificationTime(System.currentTimeMillis() * 1000);
    BigQueryTablePartition p1 = builder.setPartitionName("__NULL__").build();
    BigQueryTablePartition p2 = builder.setPartitionName("__UNPARTITIONED__").build();
    BigQueryTablePartition p3 = builder.setPartitionName("NORMAL_PARTITION").build();
    BigQueryTable t1 = table.toBuilder().setPartitions(Arrays.asList(p1, p2, p3)).setPartitioningColumn("column-name-doesnt-matter").build();
    DeleteBigQueryDataFn fn = new DeleteBigQueryDataFn().withTestBqClientFactory(() -> bqMock);
    testPipeline.apply("CreateInput", Create.of(KV.of(t1, p1), KV.of(t1, p2), KV.of(t1, p3)).withCoder(fnCoder)).apply("TestDeleteBigQueryDataFn", ParDo.of(fn));
    testPipeline.run(options);
    verify(bqMock, times(1)).delete(TableId.of("pr1", "d1", "t1$NORMAL_PARTITION"));
    verifyNoMoreInteractions(bqMock);
}

Example 44 with Options

use of com.google.cloud.teleport.v2.transforms.DeleteBigQueryDataFn.Options in project DataflowTemplates by GoogleCloudPlatform.

the class DeleteBigQueryDataFnTest method testTransform_withDeleteSourceDataEnabled_truncatesData.

@Test
@Category(NeedsRunner.class)
public void testTransform_withDeleteSourceDataEnabled_truncatesData() throws InterruptedException {
    Options options = TestPipeline.testingPipelineOptions().as(Options.class);
    options.setDeleteSourceData(true);
    PCollection<Void> actual = testPipeline.apply("CreateInput", Create.of(KV.of(partitionedTable, partition), KV.of(table, (BigQueryTablePartition) null)).withCoder(fnCoder)).apply("TestDeleteBigQueryDataFn", ParDo.of(fnUnderTest));
    PAssert.that(actual).empty();
    testPipeline.run(options);
    verify(bqMock, times(1)).query(QueryJobConfiguration.newBuilder("truncate table `pr1.d1.t1`").build());
    verify(bqMock, times(1)).delete(TableId.of("pr1", "d1", "t1p$p1"));
    verifyNoMoreInteractions(bqMock);
}

Example 45 with Options

use of com.google.cloud.teleport.v2.transforms.DeleteBigQueryDataFn.Options in project DataflowTemplates by GoogleCloudPlatform.

the class DataplexBigQueryToGcsFilterTest method test_whenPartitionedTableHasNoPartitions_filterExcludesTable.

@Test
public void test_whenPartitionedTableHasNoPartitions_filterExcludesTable() {
    options.setTables(null);
    options.setExportDataModifiedBeforeDateTime(null);
    Filter f = new DataplexBigQueryToGcsFilter(options, new ArrayList<String>());
    assertThat(f.shouldSkipPartitionedTable(table(), Collections.emptyList())).isTrue();
}