use of com.google.api.services.dataflow.model.ParallelInstruction in project beam by apache.
the class StreamingDataflowWorkerTest method testStuckCommit.
@Test
public void testStuckCommit() throws Exception {
if (!streamingEngine) {
// not implemented for non-streaming engine.
return;
}
List<ParallelInstruction> instructions = Arrays.asList(makeSourceInstruction(StringUtf8Coder.of()), makeSinkInstruction(StringUtf8Coder.of(), 0));
FakeWindmillServer server = new FakeWindmillServer(errorCollector);
StreamingDataflowWorkerOptions options = createTestingPipelineOptions(server);
options.setStuckCommitDurationMillis(2000);
StreamingDataflowWorker worker = makeWorker(instructions, options, true);
worker.start();
// Prevent commit callbacks from being called to simulate a stuck commit.
server.setDropStreamingCommits(true);
// Add some work for key 1.
server.addWorkToOffer(makeInput(10, TimeUnit.MILLISECONDS.toMicros(2), DEFAULT_KEY_STRING, 1));
server.addWorkToOffer(makeInput(15, TimeUnit.MILLISECONDS.toMicros(3), DEFAULT_KEY_STRING, 5));
ConcurrentHashMap<Long, Consumer<CommitStatus>> droppedCommits = server.waitForDroppedCommits(2);
server.setDropStreamingCommits(false);
// Enqueue another work item for key 1.
server.addWorkToOffer(makeInput(1, TimeUnit.MILLISECONDS.toMicros(1), DEFAULT_KEY_STRING, 1));
// Ensure that the this work item processes.
Map<Long, Windmill.WorkItemCommitRequest> result = server.waitForAndGetCommits(1);
// Now ensure that nothing happens if a dropped commit actually completes.
droppedCommits.values().iterator().next().accept(CommitStatus.OK);
worker.stop();
assertTrue(result.containsKey(1L));
assertEquals(makeExpectedOutput(1, TimeUnit.MILLISECONDS.toMicros(1), DEFAULT_KEY_STRING, 1, DEFAULT_KEY_STRING).build(), result.get(1L));
}
use of com.google.api.services.dataflow.model.ParallelInstruction in project beam by apache.
the class StreamingDataflowWorkerTest method testHotKeyLogging.
@Test
public void testHotKeyLogging() throws Exception {
// This is to test that the worker can correctly log the key from a hot key.
List<ParallelInstruction> instructions = Arrays.asList(makeSourceInstruction(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of())), makeSinkInstruction(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of()), 0));
FakeWindmillServer server = new FakeWindmillServer(errorCollector);
server.setIsReady(false);
StreamingConfigTask streamingConfig = new StreamingConfigTask();
streamingConfig.setStreamingComputationConfigs(ImmutableList.of(makeDefaultStreamingComputationConfig(instructions)));
streamingConfig.setWindmillServiceEndpoint("foo");
WorkItem workItem = new WorkItem();
workItem.setStreamingConfigTask(streamingConfig);
when(mockWorkUnitClient.getGlobalStreamingConfigWorkItem()).thenReturn(Optional.of(workItem));
StreamingDataflowWorkerOptions options = createTestingPipelineOptions(server, "--hotKeyLoggingEnabled=true");
StreamingDataflowWorker worker = makeWorker(instructions, options, true);
worker.start();
final int numIters = 2000;
for (int i = 0; i < numIters; ++i) {
server.addWorkToOffer(makeInput(i, TimeUnit.MILLISECONDS.toMicros(i), "key", DEFAULT_SHARDING_KEY));
}
server.waitForAndGetCommits(numIters);
worker.stop();
verify(hotKeyLogger, atLeastOnce()).logHotKeyDetection(nullable(String.class), any(), eq("key"));
}
use of com.google.api.services.dataflow.model.ParallelInstruction in project beam by apache.
the class StreamingDataflowWorkerTest method testHotKeyLoggingNotEnabled.
@Test
public void testHotKeyLoggingNotEnabled() throws Exception {
// This is to test that the worker can correctly log the key from a hot key.
List<ParallelInstruction> instructions = Arrays.asList(makeSourceInstruction(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of())), makeSinkInstruction(KvCoder.of(StringUtf8Coder.of(), StringUtf8Coder.of()), 0));
FakeWindmillServer server = new FakeWindmillServer(errorCollector);
server.setIsReady(false);
StreamingConfigTask streamingConfig = new StreamingConfigTask();
streamingConfig.setStreamingComputationConfigs(ImmutableList.of(makeDefaultStreamingComputationConfig(instructions)));
streamingConfig.setWindmillServiceEndpoint("foo");
WorkItem workItem = new WorkItem();
workItem.setStreamingConfigTask(streamingConfig);
when(mockWorkUnitClient.getGlobalStreamingConfigWorkItem()).thenReturn(Optional.of(workItem));
StreamingDataflowWorkerOptions options = createTestingPipelineOptions(server);
StreamingDataflowWorker worker = makeWorker(instructions, options, true);
worker.start();
final int numIters = 2000;
for (int i = 0; i < numIters; ++i) {
server.addWorkToOffer(makeInput(i, TimeUnit.MILLISECONDS.toMicros(i), "key", DEFAULT_SHARDING_KEY));
}
server.waitForAndGetCommits(numIters);
worker.stop();
verify(hotKeyLogger, atLeastOnce()).logHotKeyDetection(nullable(String.class), any());
}
use of com.google.api.services.dataflow.model.ParallelInstruction 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 com.google.api.services.dataflow.model.ParallelInstruction in project beam by apache.
the class IntrinsicMapTaskExecutorFactoryTest method createWriteInstruction.
static ParallelInstruction createWriteInstruction(int producerIndex, int producerOutputNum, String systemName) {
InstructionInput cloudInput = new InstructionInput();
cloudInput.setProducerInstructionIndex(producerIndex);
cloudInput.setOutputNum(producerOutputNum);
CloudObject spec = CloudObject.forClass(IntrinsicMapTaskExecutorFactoryTest.TestSinkFactory.class);
com.google.api.services.dataflow.model.Sink cloudSink = new com.google.api.services.dataflow.model.Sink();
cloudSink.setSpec(spec);
cloudSink.setCodec(windowedStringCoder);
WriteInstruction writeInstruction = new WriteInstruction();
writeInstruction.setInput(cloudInput);
writeInstruction.setSink(cloudSink);
ParallelInstruction instruction = new ParallelInstruction();
instruction.setWrite(writeInstruction);
instruction.setSystemName(systemName);
instruction.setOriginalName(systemName + "OriginalName");
return instruction;
}
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