Examples with Pipeline org.apache.beam.sdk.Pipeline used on opensource projects

Example 76 with Pipeline

use of org.apache.beam.sdk.Pipeline in project beam by apache.

the class BigtableWriteIT method testE2EBigtableWrite.

@Test
public void testE2EBigtableWrite() throws Exception {
    final String tableName = bigtableOptions.getInstanceName().toTableNameStr(tableId);
    final String instanceName = bigtableOptions.getInstanceName().toString();
    final int numRows = 1000;
    final List<KV<ByteString, ByteString>> testData = generateTableData(numRows);
    createEmptyTable(instanceName, tableId);
    Pipeline p = Pipeline.create(options);
    p.apply(GenerateSequence.from(0).to(numRows)).apply(ParDo.of(new DoFn<Long, KV<ByteString, Iterable<Mutation>>>() {

        @ProcessElement
        public void processElement(ProcessContext c) {
            int index = c.element().intValue();
            Iterable<Mutation> mutations = ImmutableList.of(Mutation.newBuilder().setSetCell(Mutation.SetCell.newBuilder().setValue(testData.get(index).getValue()).setFamilyName(COLUMN_FAMILY_NAME)).build());
            c.output(KV.of(testData.get(index).getKey(), mutations));
        }
    })).apply(BigtableIO.write().withBigtableOptions(bigtableOptions).withTableId(tableId));
    p.run();
    // Test number of column families and column family name equality
    Table table = getTable(tableName);
    assertThat(table.getColumnFamiliesMap().keySet(), Matchers.hasSize(1));
    assertThat(table.getColumnFamiliesMap(), Matchers.hasKey(COLUMN_FAMILY_NAME));
    // Test table data equality
    List<KV<ByteString, ByteString>> tableData = getTableData(tableName);
    assertThat(tableData, Matchers.containsInAnyOrder(testData.toArray()));
}

Example 77 with Pipeline

use of org.apache.beam.sdk.Pipeline in project beam by apache.

the class DatastoreV1Test method testRuntimeOptionsNotCalledInApplyQuery.

/**
   * Test to ensure that {@link ValueProvider} values are not accessed at pipeline construction time
   * when built with {@link DatastoreV1.Read#withQuery(Query)}.
   */
@Test
public void testRuntimeOptionsNotCalledInApplyQuery() {
    RuntimeTestOptions options = PipelineOptionsFactory.as(RuntimeTestOptions.class);
    Pipeline pipeline = TestPipeline.create(options);
    pipeline.apply(DatastoreIO.v1().read().withProjectId(options.getDatastoreProject()).withQuery(QUERY).withNamespace(options.getNamespace())).apply(DatastoreIO.v1().write().withProjectId(options.getDatastoreProject()));
}

Example 78 with Pipeline

use of org.apache.beam.sdk.Pipeline in project beam by apache.

the class V1ReadIT method testE2EV1ReadWithGQLQuery.

/**
   * An end-to-end test for {@link DatastoreV1.Read#withLiteralGqlQuery(String)}.
   *
   * <p>Write some test entities to datastore and then run a pipeline that
   * reads and counts the total number of entities. Verify that the count matches
   * the number of entities written.
   */
private void testE2EV1ReadWithGQLQuery(long limit) throws Exception {
    String gqlQuery = String.format("SELECT * from %s WHERE __key__ HAS ANCESTOR KEY(%s, '%s')", options.getKind(), options.getKind(), ancestor);
    long expectedNumEntities = numEntities;
    if (limit > 0) {
        gqlQuery = String.format("%s LIMIT %d", gqlQuery, limit);
        expectedNumEntities = limit;
    }
    DatastoreV1.Read read = DatastoreIO.v1().read().withProjectId(project).withLiteralGqlQuery(gqlQuery).withNamespace(options.getNamespace());
    // Count the total number of entities
    Pipeline p = Pipeline.create(options);
    PCollection<Long> count = p.apply(read).apply(Count.<Entity>globally());
    PAssert.thatSingleton(count).isEqualTo(expectedNumEntities);
    p.run();
}

Example 79 with Pipeline

use of org.apache.beam.sdk.Pipeline in project beam by apache.

the class WindowedWordCount method main.

public static void main(String[] args) throws IOException {
    Options options = PipelineOptionsFactory.fromArgs(args).withValidation().as(Options.class);
    final String output = options.getOutput();
    final Instant minTimestamp = new Instant(options.getMinTimestampMillis());
    final Instant maxTimestamp = new Instant(options.getMaxTimestampMillis());
    Pipeline pipeline = Pipeline.create(options);
    /**
     * Concept #1: the Beam SDK lets us run the same pipeline with either a bounded or
     * unbounded input source.
     */
    PCollection<String> input = pipeline.apply(TextIO.read().from(options.getInputFile())).apply(ParDo.of(new AddTimestampFn(minTimestamp, maxTimestamp)));
    /**
     * Concept #3: Window into fixed windows. The fixed window size for this example defaults to 1
     * minute (you can change this with a command-line option). See the documentation for more
     * information on how fixed windows work, and for information on the other types of windowing
     * available (e.g., sliding windows).
     */
    PCollection<String> windowedWords = input.apply(Window.<String>into(FixedWindows.of(Duration.standardMinutes(options.getWindowSize()))));
    /**
     * Concept #4: Re-use our existing CountWords transform that does not have knowledge of
     * windows over a PCollection containing windowed values.
     */
    PCollection<KV<String, Long>> wordCounts = windowedWords.apply(new WordCount.CountWords());
    /**
     * Concept #5: Format the results and write to a sharded file partitioned by window, using a
     * simple ParDo operation. Because there may be failures followed by retries, the
     * writes must be idempotent, but the details of writing to files is elided here.
     */
    wordCounts.apply(MapElements.via(new WordCount.FormatAsTextFn())).apply(new WriteOneFilePerWindow(output, options.getNumShards()));
    PipelineResult result = pipeline.run();
    try {
        result.waitUntilFinish();
    } catch (Exception exc) {
        result.cancel();
    }
}

Example 80 with Pipeline

use of org.apache.beam.sdk.Pipeline in project beam by apache.

the class WordCount method main.

public static void main(String[] args) {
    WordCountOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(WordCountOptions.class);
    Pipeline p = Pipeline.create(options);
    // Concepts #2 and #3: Our pipeline applies the composite CountWords transform, and passes the
    // static FormatAsTextFn() to the ParDo transform.
    p.apply("ReadLines", TextIO.read().from(options.getInputFile())).apply(new CountWords()).apply(MapElements.via(new FormatAsTextFn())).apply("WriteCounts", TextIO.write().to(options.getOutput()));
    p.run().waitUntilFinish();
}