Examples with PCollectionView org.apache.beam.sdk.values.PCollectionView used on opensource projects

Example 1 with PCollectionView

use of org.apache.beam.sdk.values.PCollectionView in project beam by apache.

the class SideInputContainerTest method getAfterWriteReturnsPaneInWindow.

@Test
public void getAfterWriteReturnsPaneInWindow() throws Exception {
    WindowedValue<KV<String, Integer>> one = WindowedValue.of(KV.of("one", 1), new Instant(1L), FIRST_WINDOW, PaneInfo.ON_TIME_AND_ONLY_FIRING);
    WindowedValue<KV<String, Integer>> two = WindowedValue.of(KV.of("two", 2), new Instant(20L), FIRST_WINDOW, PaneInfo.ON_TIME_AND_ONLY_FIRING);
    container.write(mapView, ImmutableList.<WindowedValue<?>>of(one, two));
    Map<String, Integer> viewContents = container.createReaderForViews(ImmutableList.<PCollectionView<?>>of(mapView)).get(mapView, FIRST_WINDOW);
    assertThat(viewContents, hasEntry("one", 1));
    assertThat(viewContents, hasEntry("two", 2));
    assertThat(viewContents.size(), is(2));
}

Example 2 with PCollectionView

use of org.apache.beam.sdk.values.PCollectionView in project beam by apache.

the class SideInputContainerTest method finishDoesNotOverwriteWrittenElements.

@Test
public void finishDoesNotOverwriteWrittenElements() throws Exception {
    WindowedValue<KV<String, Integer>> one = WindowedValue.of(KV.of("one", 1), new Instant(1L), SECOND_WINDOW, PaneInfo.createPane(true, false, Timing.EARLY));
    WindowedValue<KV<String, Integer>> two = WindowedValue.of(KV.of("two", 2), new Instant(20L), SECOND_WINDOW, PaneInfo.createPane(true, false, Timing.EARLY));
    container.write(mapView, ImmutableList.<WindowedValue<?>>of(one, two));
    immediatelyInvokeCallback(mapView, SECOND_WINDOW);
    Map<String, Integer> viewContents = container.createReaderForViews(ImmutableList.<PCollectionView<?>>of(mapView)).get(mapView, SECOND_WINDOW);
    assertThat(viewContents, hasEntry("one", 1));
    assertThat(viewContents, hasEntry("two", 2));
    assertThat(viewContents.size(), is(2));
}

Example 3 with PCollectionView

use of org.apache.beam.sdk.values.PCollectionView in project beam by apache.

the class ViewOverrideFactoryTest method replacementGetViewReturnsOriginal.

@Test
public void replacementGetViewReturnsOriginal() {
    final PCollection<Integer> ints = p.apply("CreateContents", Create.of(1, 2, 3));
    final PCollectionView<List<Integer>> view = PCollectionViews.listView(ints, WindowingStrategy.globalDefault(), ints.getCoder());
    PTransformReplacement<PCollection<Integer>, PCollectionView<List<Integer>>> replacement = factory.getReplacementTransform(AppliedPTransform.<PCollection<Integer>, PCollectionView<List<Integer>>, CreatePCollectionView<Integer, List<Integer>>>of("foo", ints.expand(), view.expand(), CreatePCollectionView.<Integer, List<Integer>>of(view), p));
    ints.apply(replacement.getTransform());
    final AtomicBoolean writeViewVisited = new AtomicBoolean();
    p.traverseTopologically(new PipelineVisitor.Defaults() {

        @Override
        public void visitPrimitiveTransform(Node node) {
            if (node.getTransform() instanceof WriteView) {
                assertThat("There should only be one WriteView primitive in the graph", writeViewVisited.getAndSet(true), is(false));
                PCollectionView replacementView = ((WriteView) node.getTransform()).getView();
                assertThat(replacementView, Matchers.<PCollectionView>theInstance(view));
                assertThat(node.getInputs().entrySet(), hasSize(1));
            }
        }
    });
    assertThat(writeViewVisited.get(), is(true));
}

Example 4 with PCollectionView

use of org.apache.beam.sdk.values.PCollectionView in project beam by apache.

the class BatchLoads method expand.

@Override
public WriteResult expand(PCollection<KV<DestinationT, TableRow>> input) {
    Pipeline p = input.getPipeline();
    final String stepUuid = BigQueryHelpers.randomUUIDString();
    PCollectionView<String> tempFilePrefix = p.apply("Create", Create.of((Void) null)).apply("GetTempFilePrefix", ParDo.of(new DoFn<Void, String>() {

        @ProcessElement
        public void getTempFilePrefix(ProcessContext c) {
            c.output(resolveTempLocation(c.getPipelineOptions().getTempLocation(), "BigQueryWriteTemp", stepUuid));
        }
    })).apply("TempFilePrefixView", View.<String>asSingleton());
    // Create a singleton job ID token at execution time. This will be used as the base for all
    // load jobs issued from this instance of the transform.
    PCollectionView<String> jobIdTokenView = p.apply("TriggerIdCreation", Create.of("ignored")).apply("CreateJobId", MapElements.via(new SimpleFunction<String, String>() {

        @Override
        public String apply(String input) {
            return stepUuid;
        }
    })).apply(View.<String>asSingleton());
    PCollection<KV<DestinationT, TableRow>> inputInGlobalWindow = input.apply("rewindowIntoGlobal", Window.<KV<DestinationT, TableRow>>into(new GlobalWindows()).triggering(DefaultTrigger.of()).discardingFiredPanes());
    PCollectionView<Map<DestinationT, String>> schemasView = inputInGlobalWindow.apply(new CalculateSchemas<>(dynamicDestinations));
    TupleTag<WriteBundlesToFiles.Result<DestinationT>> writtenFilesTag = new TupleTag<WriteBundlesToFiles.Result<DestinationT>>("writtenFiles") {
    };
    TupleTag<KV<ShardedKey<DestinationT>, TableRow>> unwrittedRecordsTag = new TupleTag<KV<ShardedKey<DestinationT>, TableRow>>("unwrittenRecords") {
    };
    PCollectionTuple writeBundlesTuple = inputInGlobalWindow.apply("WriteBundlesToFiles", ParDo.of(new WriteBundlesToFiles<>(stepUuid, unwrittedRecordsTag, maxNumWritersPerBundle, maxFileSize)).withOutputTags(writtenFilesTag, TupleTagList.of(unwrittedRecordsTag)));
    PCollection<WriteBundlesToFiles.Result<DestinationT>> writtenFiles = writeBundlesTuple.get(writtenFilesTag).setCoder(WriteBundlesToFiles.ResultCoder.of(destinationCoder));
    // If the bundles contain too many output tables to be written inline to files (due to memory
    // limits), any unwritten records will be spilled to the unwrittenRecordsTag PCollection.
    // Group these records by key, and write the files after grouping. Since the record is grouped
    // by key, we can ensure that only one file is open at a time in each bundle.
    PCollection<WriteBundlesToFiles.Result<DestinationT>> writtenFilesGrouped = writeBundlesTuple.get(unwrittedRecordsTag).setCoder(KvCoder.of(ShardedKeyCoder.of(destinationCoder), TableRowJsonCoder.of())).apply(GroupByKey.<ShardedKey<DestinationT>, TableRow>create()).apply(ParDo.of(new WriteGroupedRecordsToFiles<DestinationT>(tempFilePrefix, maxFileSize)).withSideInputs(tempFilePrefix)).setCoder(WriteBundlesToFiles.ResultCoder.of(destinationCoder));
    // PCollection of filename, file byte size, and table destination.
    PCollection<WriteBundlesToFiles.Result<DestinationT>> results = PCollectionList.of(writtenFiles).and(writtenFilesGrouped).apply(Flatten.<Result<DestinationT>>pCollections());
    TupleTag<KV<ShardedKey<DestinationT>, List<String>>> multiPartitionsTag = new TupleTag<KV<ShardedKey<DestinationT>, List<String>>>("multiPartitionsTag") {
    };
    TupleTag<KV<ShardedKey<DestinationT>, List<String>>> singlePartitionTag = new TupleTag<KV<ShardedKey<DestinationT>, List<String>>>("singlePartitionTag") {
    };
    // Turn the list of files and record counts in a PCollectionView that can be used as a
    // side input.
    PCollectionView<Iterable<WriteBundlesToFiles.Result<DestinationT>>> resultsView = results.apply("ResultsView", View.<WriteBundlesToFiles.Result<DestinationT>>asIterable());
    // This transform will look at the set of files written for each table, and if any table has
    // too many files or bytes, will partition that table's files into multiple partitions for
    // loading.
    PCollection<Void> singleton = p.apply("singleton", Create.of((Void) null).withCoder(VoidCoder.of()));
    PCollectionTuple partitions = singleton.apply("WritePartition", ParDo.of(new WritePartition<>(singletonTable, tempFilePrefix, resultsView, multiPartitionsTag, singlePartitionTag)).withSideInputs(tempFilePrefix, resultsView).withOutputTags(multiPartitionsTag, TupleTagList.of(singlePartitionTag)));
    List<PCollectionView<?>> writeTablesSideInputs = Lists.newArrayList(jobIdTokenView, schemasView);
    writeTablesSideInputs.addAll(dynamicDestinations.getSideInputs());
    Coder<KV<ShardedKey<DestinationT>, List<String>>> partitionsCoder = KvCoder.of(ShardedKeyCoder.of(NullableCoder.of(destinationCoder)), ListCoder.of(StringUtf8Coder.of()));
    // If WriteBundlesToFiles produced more than MAX_NUM_FILES files or MAX_SIZE_BYTES bytes, then
    // the import needs to be split into multiple partitions, and those partitions will be
    // specified in multiPartitionsTag.
    PCollection<KV<TableDestination, String>> tempTables = partitions.get(multiPartitionsTag).setCoder(partitionsCoder).apply("MultiPartitionsReshuffle", Reshuffle.<ShardedKey<DestinationT>, List<String>>of()).apply("MultiPartitionsWriteTables", ParDo.of(new WriteTables<>(false, bigQueryServices, jobIdTokenView, schemasView, WriteDisposition.WRITE_EMPTY, CreateDisposition.CREATE_IF_NEEDED, dynamicDestinations)).withSideInputs(writeTablesSideInputs));
    // This view maps each final table destination to the set of temporary partitioned tables
    // the PCollection was loaded into.
    PCollectionView<Map<TableDestination, Iterable<String>>> tempTablesView = tempTables.apply("TempTablesView", View.<TableDestination, String>asMultimap());
    singleton.apply("WriteRename", ParDo.of(new WriteRename(bigQueryServices, jobIdTokenView, writeDisposition, createDisposition, tempTablesView)).withSideInputs(tempTablesView, jobIdTokenView));
    // Write single partition to final table
    partitions.get(singlePartitionTag).setCoder(partitionsCoder).apply("SinglePartitionsReshuffle", Reshuffle.<ShardedKey<DestinationT>, List<String>>of()).apply("SinglePartitionWriteTables", ParDo.of(new WriteTables<>(true, bigQueryServices, jobIdTokenView, schemasView, writeDisposition, createDisposition, dynamicDestinations)).withSideInputs(writeTablesSideInputs));
    PCollection<TableRow> empty = p.apply("CreateEmptyFailedInserts", Create.empty(TypeDescriptor.of(TableRow.class)));
    return WriteResult.in(input.getPipeline(), new TupleTag<TableRow>("failedInserts"), empty);
}

Example 5 with PCollectionView

use of org.apache.beam.sdk.values.PCollectionView in project beam by apache.

the class ParDoTest method testParDoEmptyWithTaggedOutput.

@Test
@Category(ValidatesRunner.class)
public void testParDoEmptyWithTaggedOutput() {
    TupleTag<String> mainOutputTag = new TupleTag<String>("main") {
    };
    TupleTag<String> additionalOutputTag1 = new TupleTag<String>("additional1") {
    };
    TupleTag<String> additionalOutputTag2 = new TupleTag<String>("additional2") {
    };
    TupleTag<String> additionalOutputTag3 = new TupleTag<String>("additional3") {
    };
    TupleTag<String> additionalOutputTagUnwritten = new TupleTag<String>("unwrittenOutput") {
    };
    PCollectionTuple outputs = pipeline.apply(Create.empty(VarIntCoder.of())).apply(ParDo.of(new TestDoFn(Arrays.<PCollectionView<Integer>>asList(), Arrays.asList(additionalOutputTag1, additionalOutputTag2, additionalOutputTag3))).withOutputTags(mainOutputTag, TupleTagList.of(additionalOutputTag3).and(additionalOutputTag1).and(additionalOutputTagUnwritten).and(additionalOutputTag2)));
    List<Integer> inputs = Collections.emptyList();
    PAssert.that(outputs.get(mainOutputTag)).satisfies(ParDoTest.HasExpectedOutput.forInput(inputs));
    PAssert.that(outputs.get(additionalOutputTag1)).satisfies(ParDoTest.HasExpectedOutput.forInput(inputs).fromOutput(additionalOutputTag1));
    PAssert.that(outputs.get(additionalOutputTag2)).satisfies(ParDoTest.HasExpectedOutput.forInput(inputs).fromOutput(additionalOutputTag2));
    PAssert.that(outputs.get(additionalOutputTag3)).satisfies(ParDoTest.HasExpectedOutput.forInput(inputs).fromOutput(additionalOutputTag3));
    PAssert.that(outputs.get(additionalOutputTagUnwritten)).empty();
    pipeline.run();
}