use of org.apache.beam.runners.dataflow.worker.testing.TestCountingSource in project beam by apache.
the class StreamingDataflowWorkerTest method testExceptionInvalidatesCache.
@Test
public void testExceptionInvalidatesCache() throws Exception {
// We'll need to force the system to limit bundles to one message at a time.
// Sequence is as follows:
// 01. GetWork[0] (token 0)
// 02. Create counter reader
// 03. Counter yields 0
// 04. GetData[0] (state as null)
// 05. Read state as null
// 06. Set state as 42
// 07. THROW on taking counter reader checkpoint
// 08. Create counter reader
// 09. Counter yields 0
// 10. GetData[1] (state as null)
// 11. Read state as null (*** not 42 ***)
// 12. Take counter reader checkpoint as 0
// 13. CommitWork[0] (message 0:0, state 42, checkpoint 0)
// 14. GetWork[1] (token 1, checkpoint as 0)
// 15. Counter yields 1
// 16. Read (cached) state as 42
// 17. Take counter reader checkpoint 1
// 18. CommitWork[1] (message 0:1, checkpoint 1)
// 19. GetWork[2] (token 2, checkpoint as 1)
// 20. Counter yields 2
// 21. THROW on processElement
// 22. Recreate reader from checkpoint 1
// 23. Counter yields 2 (*** not eof ***)
// 24. GetData[2] (state as 42)
// 25. Read state as 42
// 26. Take counter reader checkpoint 2
// 27. CommitWork[2] (message 0:2, checkpoint 2)
FakeWindmillServer server = new FakeWindmillServer(errorCollector);
server.setExpectedExceptionCount(2);
DataflowPipelineOptions options = createTestingPipelineOptions(server);
options.setNumWorkers(1);
DataflowPipelineDebugOptions debugOptions = options.as(DataflowPipelineDebugOptions.class);
debugOptions.setUnboundedReaderMaxElements(1);
CloudObject codec = CloudObjects.asCloudObject(WindowedValue.getFullCoder(ValueWithRecordId.ValueWithRecordIdCoder.of(KvCoder.of(VarIntCoder.of(), VarIntCoder.of())), GlobalWindow.Coder.INSTANCE), /*sdkComponents=*/
null);
TestCountingSource counter = new TestCountingSource(3).withThrowOnFirstSnapshot(true);
List<ParallelInstruction> instructions = Arrays.asList(new ParallelInstruction().setOriginalName("OriginalReadName").setSystemName("Read").setName(DEFAULT_PARDO_USER_NAME).setRead(new ReadInstruction().setSource(CustomSources.serializeToCloudSource(counter, options).setCodec(codec))).setOutputs(Arrays.asList(new InstructionOutput().setName("read_output").setOriginalName(DEFAULT_OUTPUT_ORIGINAL_NAME).setSystemName(DEFAULT_OUTPUT_SYSTEM_NAME).setCodec(codec))), makeDoFnInstruction(new TestExceptionInvalidatesCacheFn(), 0, StringUtf8Coder.of(), WindowingStrategy.globalDefault()), makeSinkInstruction(StringUtf8Coder.of(), 1, GlobalWindow.Coder.INSTANCE));
StreamingDataflowWorker worker = makeWorker(instructions, options.as(StreamingDataflowWorkerOptions.class), true);
worker.setRetryLocallyDelayMs(100);
worker.start();
// Three GetData requests
for (int i = 0; i < 3; i++) {
ByteString state;
if (i == 0 || i == 1) {
state = ByteString.EMPTY;
} else {
state = ByteString.copyFrom(new byte[] { 42 });
}
Windmill.GetDataResponse.Builder dataResponse = Windmill.GetDataResponse.newBuilder();
dataResponse.addDataBuilder().setComputationId(DEFAULT_COMPUTATION_ID).addDataBuilder().setKey(ByteString.copyFromUtf8("0000000000000001")).setShardingKey(1).addValuesBuilder().setTag(ByteString.copyFromUtf8("//+uint")).setStateFamily(DEFAULT_PARDO_STATE_FAMILY).getValueBuilder().setTimestamp(0).setData(state);
server.addDataToOffer(dataResponse.build());
}
// Three GetWork requests and commits
for (int i = 0; i < 3; i++) {
StringBuilder sb = new StringBuilder();
sb.append("work {\n");
sb.append(" computation_id: \"computation\"\n");
sb.append(" input_data_watermark: 0\n");
sb.append(" work {\n");
sb.append(" key: \"0000000000000001\"\n");
sb.append(" sharding_key: 1\n");
sb.append(" work_token: ");
sb.append(i);
sb.append(" cache_token: 1");
sb.append("\n");
if (i > 0) {
int previousCheckpoint = i - 1;
sb.append(" source_state {\n");
sb.append(" state: \"");
sb.append((char) previousCheckpoint);
sb.append("\"\n");
// We'll elide the finalize ids since it's not necessary to trigger the finalizer
// for this test.
sb.append(" }\n");
}
sb.append(" }\n");
sb.append("}\n");
server.addWorkToOffer(buildInput(sb.toString(), null));
Map<Long, Windmill.WorkItemCommitRequest> result = server.waitForAndGetCommits(1);
Windmill.WorkItemCommitRequest commit = result.get((long) i);
UnsignedLong finalizeId = UnsignedLong.fromLongBits(commit.getSourceStateUpdates().getFinalizeIds(0));
sb = new StringBuilder();
sb.append("key: \"0000000000000001\"\n");
sb.append("sharding_key: 1\n");
sb.append("work_token: ");
sb.append(i);
sb.append("\n");
sb.append("cache_token: 1\n");
sb.append("output_messages {\n");
sb.append(" destination_stream_id: \"out\"\n");
sb.append(" bundles {\n");
sb.append(" key: \"0000000000000001\"\n");
int messageNum = i;
sb.append(" messages {\n");
sb.append(" timestamp: ");
sb.append(messageNum * 1000);
sb.append("\n");
sb.append(" data: \"0:");
sb.append(messageNum);
sb.append("\"\n");
sb.append(" }\n");
sb.append(" messages_ids: \"\"\n");
sb.append(" }\n");
sb.append("}\n");
if (i == 0) {
sb.append("value_updates {\n");
sb.append(" tag: \"//+uint\"\n");
sb.append(" value {\n");
sb.append(" timestamp: 0\n");
sb.append(" data: \"");
sb.append((char) 42);
sb.append("\"\n");
sb.append(" }\n");
sb.append(" state_family: \"parDoStateFamily\"\n");
sb.append("}\n");
}
int sourceState = i;
sb.append("source_state_updates {\n");
sb.append(" state: \"");
sb.append((char) sourceState);
sb.append("\"\n");
sb.append(" finalize_ids: ");
sb.append(finalizeId);
sb.append("}\n");
sb.append("source_watermark: ");
sb.append((sourceState + 1) * 1000);
sb.append("\n");
sb.append("source_backlog_bytes: 7\n");
assertThat(// for the current test.
setValuesTimestamps(commit.toBuilder().clearOutputTimers()).build(), equalTo(setMessagesMetadata(PaneInfo.NO_FIRING, CoderUtils.encodeToByteArray(CollectionCoder.of(GlobalWindow.Coder.INSTANCE), ImmutableList.of(GlobalWindow.INSTANCE)), parseCommitRequest(sb.toString())).build()));
}
}
use of org.apache.beam.runners.dataflow.worker.testing.TestCountingSource in project beam by apache.
the class WorkerCustomSourcesTest method testReadUnboundedReader.
@Test
public void testReadUnboundedReader() throws Exception {
CounterSet counterSet = new CounterSet();
StreamingModeExecutionStateRegistry executionStateRegistry = new StreamingModeExecutionStateRegistry(null);
ReaderCache readerCache = new ReaderCache(Duration.standardMinutes(1), Runnable::run);
StreamingModeExecutionContext context = new StreamingModeExecutionContext(counterSet, "computationId", readerCache, /*stateNameMap=*/
ImmutableMap.of(), /*stateCache=*/
null, StreamingStepMetricsContainer.createRegistry(), new DataflowExecutionStateTracker(ExecutionStateSampler.newForTest(), executionStateRegistry.getState(NameContext.forStage("stageName"), "other", null, NoopProfileScope.NOOP), counterSet, PipelineOptionsFactory.create(), "test-work-item-id"), executionStateRegistry, Long.MAX_VALUE);
options.setNumWorkers(5);
int maxElements = 10;
DataflowPipelineDebugOptions debugOptions = options.as(DataflowPipelineDebugOptions.class);
debugOptions.setUnboundedReaderMaxElements(maxElements);
ByteString state = ByteString.EMPTY;
for (int i = 0; i < 10 * maxElements; ) /* Incremented in inner loop */
{
// Initialize streaming context with state from previous iteration.
context.start("key", Windmill.WorkItem.newBuilder().setKey(// key is zero-padded index.
ByteString.copyFromUtf8("0000000000000001")).setWorkToken(// Must be increasing across activations for cache to be used.
i).setCacheToken(1).setSourceState(// Source state.
Windmill.SourceState.newBuilder().setState(state).build()).build(), // input watermark
new Instant(0), // output watermark
null, // synchronized processing time
null, // StateReader
null, // StateFetcher
null, Windmill.WorkItemCommitRequest.newBuilder());
@SuppressWarnings({ "unchecked", "rawtypes" }) NativeReader<WindowedValue<ValueWithRecordId<KV<Integer, Integer>>>> reader = (NativeReader) WorkerCustomSources.create((CloudObject) serializeToCloudSource(new TestCountingSource(Integer.MAX_VALUE), options).getSpec(), options, context);
// Verify data.
Instant beforeReading = Instant.now();
int numReadOnThisIteration = 0;
for (WindowedValue<ValueWithRecordId<KV<Integer, Integer>>> value : ReaderUtils.readAllFromReader(reader)) {
assertEquals(KV.of(0, i), value.getValue().getValue());
assertArrayEquals(encodeToByteArray(KvCoder.of(VarIntCoder.of(), VarIntCoder.of()), KV.of(0, i)), value.getValue().getId());
assertThat(value.getWindows(), contains((BoundedWindow) GlobalWindow.INSTANCE));
assertEquals(i, value.getTimestamp().getMillis());
i++;
numReadOnThisIteration++;
}
Instant afterReading = Instant.now();
long maxReadSec = debugOptions.getUnboundedReaderMaxReadTimeSec();
assertThat(new Duration(beforeReading, afterReading).getStandardSeconds(), lessThanOrEqualTo(maxReadSec + 1));
assertThat(numReadOnThisIteration, lessThanOrEqualTo(debugOptions.getUnboundedReaderMaxElements()));
// Extract and verify state modifications.
context.flushState();
state = context.getOutputBuilder().getSourceStateUpdates().getState();
// CountingSource's watermark is the last record + 1. i is now one past the last record,
// so the expected watermark is i millis.
assertEquals(TimeUnit.MILLISECONDS.toMicros(i), context.getOutputBuilder().getSourceWatermark());
assertEquals(1, context.getOutputBuilder().getSourceStateUpdates().getFinalizeIdsList().size());
assertNotNull(readerCache.acquireReader(context.getComputationKey(), context.getWork().getCacheToken(), context.getWorkToken() + 1));
assertEquals(7L, context.getBacklogBytes());
}
}
use of org.apache.beam.runners.dataflow.worker.testing.TestCountingSource in project beam by apache.
the class WorkerCustomSourcesTest method testUnboundedSplits.
@Test
public void testUnboundedSplits() throws Exception {
com.google.api.services.dataflow.model.Source source = serializeToCloudSource(new TestCountingSource(Integer.MAX_VALUE), options);
List<String> serializedSplits = getStrings(source.getSpec(), WorkerCustomSources.SERIALIZED_SOURCE_SPLITS, null);
assertEquals(20, serializedSplits.size());
for (String serializedSplit : serializedSplits) {
assertTrue(deserializeFromByteArray(decodeBase64(serializedSplit), "source") instanceof TestCountingSource);
}
}
use of org.apache.beam.runners.dataflow.worker.testing.TestCountingSource in project beam by apache.
the class StreamingDataflowWorkerTest method makeUnboundedSourcePipeline.
private List<ParallelInstruction> makeUnboundedSourcePipeline(// Total number of messages in each split of the unbounded source.
int numMessagesPerShard, DoFn<ValueWithRecordId<KV<Integer, Integer>>, String> doFn) throws Exception {
DataflowPipelineOptions options = PipelineOptionsFactory.create().as(DataflowPipelineOptions.class);
options.setNumWorkers(1);
CloudObject codec = CloudObjects.asCloudObject(WindowedValue.getFullCoder(ValueWithRecordId.ValueWithRecordIdCoder.of(KvCoder.of(VarIntCoder.of(), VarIntCoder.of())), GlobalWindow.Coder.INSTANCE), /*sdkComponents=*/
null);
return Arrays.asList(new ParallelInstruction().setSystemName("Read").setOriginalName("OriginalReadName").setRead(new ReadInstruction().setSource(CustomSources.serializeToCloudSource(new TestCountingSource(numMessagesPerShard), options).setCodec(codec))).setOutputs(Arrays.asList(new InstructionOutput().setName("read_output").setOriginalName(DEFAULT_OUTPUT_ORIGINAL_NAME).setSystemName(DEFAULT_OUTPUT_SYSTEM_NAME).setCodec(codec))), makeDoFnInstruction(doFn, 0, StringUtf8Coder.of(), WindowingStrategy.globalDefault()), makeSinkInstruction(StringUtf8Coder.of(), 1, GlobalWindow.Coder.INSTANCE));
}
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