Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Flink Runner] Add UseDataStreamForBatch option to Flink runner to enable batch execution on DataStream API #28614

Merged
merged 8 commits into from
Oct 27, 2023
Merged
Show file tree
Hide file tree
Changes from 5 commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions CHANGES.md
Original file line number Diff line number Diff line change
Expand Up @@ -339,6 +339,9 @@ as a workaround, a copy of "old" `CountingSource` class should be placed into a
* The Go SDK now requires Go 1.19 to build. ([#25545](https://github.com/apache/beam/pull/25545))
* The Go SDK now has an initial native Go implementation of a portable Beam Runner called Prism. ([#24789](https://github.com/apache/beam/pull/24789))
* For more details and current state see https://github.com/apache/beam/tree/master/sdks/go/pkg/beam/runners/prism.
* Add `UseDataStreamForBatch` pipeline option to the Flink runner. When it is set to true, Flink runner will run batch
jto marked this conversation as resolved.
Show resolved Hide resolved
jobs executed with DataStream API. By default the option is set to false, so the batch jobs are still executed
with DataSet API.

## Breaking Changes

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@
import org.apache.flink.streaming.api.operators.AbstractStreamOperator;
import org.apache.flink.streaming.api.operators.InternalTimeServiceManager;
import org.apache.flink.streaming.api.operators.InternalTimeServiceManagerImpl;
import org.apache.flink.streaming.api.operators.sorted.state.BatchExecutionInternalTimeServiceManager;

/** Compatibility layer for {@link AbstractStreamOperator} breaking changes. */
public abstract class AbstractStreamOperatorCompat<OutputT>
Expand All @@ -44,9 +45,18 @@ protected int numProcessingTimeTimers() {
return getTimeServiceManager()
.map(
manager -> {
final InternalTimeServiceManagerImpl<?> cast =
(InternalTimeServiceManagerImpl<?>) getTimeServiceManagerCompat();
return cast.numProcessingTimeTimers();
InternalTimeServiceManager<?> tsm = getTimeServiceManagerCompat();
if (tsm instanceof InternalTimeServiceManagerImpl) {
final InternalTimeServiceManagerImpl<?> cast =
(InternalTimeServiceManagerImpl<?>) getTimeServiceManagerCompat();
return cast.numProcessingTimeTimers();
} else if (tsm instanceof BatchExecutionInternalTimeServiceManager) {
return 0;
} else {
throw new IllegalStateException(
String.format(
"Unknown implementation of InternalTimerServiceManager. %s", tsm));
}
})
.orElse(0);
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@
import org.apache.flink.streaming.api.operators.AbstractStreamOperator;
import org.apache.flink.streaming.api.operators.InternalTimeServiceManager;
import org.apache.flink.streaming.api.operators.InternalTimeServiceManagerImpl;
import org.apache.flink.streaming.api.operators.sorted.state.BatchExecutionInternalTimeServiceManager;

/** Compatibility layer for {@link AbstractStreamOperator} breaking changes. */
public abstract class AbstractStreamOperatorCompat<OutputT>
Expand All @@ -44,9 +45,18 @@ protected int numProcessingTimeTimers() {
return getTimeServiceManager()
.map(
manager -> {
final InternalTimeServiceManagerImpl<?> cast =
(InternalTimeServiceManagerImpl<?>) getTimeServiceManagerCompat();
return cast.numProcessingTimeTimers();
InternalTimeServiceManager<?> tsm = getTimeServiceManagerCompat();
if (tsm instanceof InternalTimeServiceManagerImpl) {
final InternalTimeServiceManagerImpl<?> cast =
(InternalTimeServiceManagerImpl<?>) getTimeServiceManagerCompat();
return cast.numProcessingTimeTimers();
} else if (tsm instanceof BatchExecutionInternalTimeServiceManager) {
return 0;
} else {
throw new IllegalStateException(
String.format(
"Unknown implementation of InternalTimerServiceManager. %s", tsm));
}
})
.orElse(0);
}
Expand Down
11 changes: 11 additions & 0 deletions runners/flink/flink_runner.gradle
Original file line number Diff line number Diff line change
Expand Up @@ -237,6 +237,7 @@ class ValidatesRunnerConfig {
String name
boolean streaming
boolean checkpointing
boolean useDataStreamForBatch
ArrayList<String> sickbayTests
}

Expand All @@ -255,6 +256,7 @@ def createValidatesRunnerTask(Map m) {
description = "Validates the ${runnerType} runner"
def pipelineOptionsArray = ["--runner=TestFlinkRunner",
"--streaming=${config.streaming}",
"--useDataStreamForBatch=${config.useDataStreamForBatch}",
"--parallelism=2",
]
if (config.checkpointing) {
Expand Down Expand Up @@ -314,12 +316,20 @@ def createValidatesRunnerTask(Map m) {
excludeTestsMatching 'org.apache.beam.sdk.testing.TestStreamTest.testFirstElementLate'
// https://github.com/apache/beam/issues/20844
excludeTestsMatching 'org.apache.beam.sdk.testing.TestStreamTest.testLateDataAccumulating'
if (!config.streaming) {
// FlinkBatchExecutionInternalTimeService does not support timer registration on timer firing.
excludeTestsMatching 'org.apache.beam.sdk.transforms.ParDoTest$TimestampTests.testOnTimerTimestampSkew'
} else {
// https://github.com/apache/beam/issues/25485
excludeTestsMatching 'org.apache.beam.sdk.transforms.GroupByKeyTest$BasicTests.testAfterProcessingTimeContinuationTriggerUsingState'
jto marked this conversation as resolved.
Show resolved Hide resolved
}
}
}
}
}

createValidatesRunnerTask(name: "validatesRunnerBatch", streaming: false, sickbayTests: sickbayTests)
createValidatesRunnerTask(name: "validatesRunnerBatchWithDataStream", streaming: false, useDataStreamForBatch: true, sickbayTests: sickbayTests)
createValidatesRunnerTask(name: "validatesRunnerStreaming", streaming: true, sickbayTests: sickbayTests)
// We specifically have a variant which runs with checkpointing enabled for the
// tests that require it since running a checkpoint variant is significantly
Expand All @@ -332,6 +342,7 @@ tasks.register('validatesRunner') {
group = 'Verification'
description "Validates Flink runner"
dependsOn validatesRunnerBatch
dependsOn validatesRunnerBatchWithDataStream
dependsOn validatesRunnerStreaming
dependsOn validatesRunnerStreamingCheckpointing
}
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -27,6 +27,7 @@
import org.apache.beam.sdk.metrics.MetricsOptions;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.annotations.VisibleForTesting;
import org.apache.flink.api.common.JobExecutionResult;
import org.apache.flink.api.common.RuntimeExecutionMode;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.core.execution.JobClient;
import org.apache.flink.runtime.jobgraph.JobGraph;
Expand Down Expand Up @@ -101,13 +102,17 @@ public void translate(Pipeline pipeline) {
prepareFilesToStageForRemoteClusterExecution(options);

FlinkPipelineTranslator translator;
if (options.isStreaming()) {
if (options.isStreaming() || options.getUseDataStreamForBatch()) {
this.flinkStreamEnv = FlinkExecutionEnvironments.createStreamExecutionEnvironment(options);
if (hasUnboundedOutput && !flinkStreamEnv.getCheckpointConfig().isCheckpointingEnabled()) {
LOG.warn(
"UnboundedSources present which rely on checkpointing, but checkpointing is disabled.");
}
translator = new FlinkStreamingPipelineTranslator(flinkStreamEnv, options);
translator =
new FlinkStreamingPipelineTranslator(flinkStreamEnv, options, options.isStreaming());
if (!options.isStreaming()) {
flinkStreamEnv.setRuntimeMode(RuntimeExecutionMode.BATCH);
}
} else {
this.flinkBatchEnv = FlinkExecutionEnvironments.createBatchExecutionEnvironment(options);
translator = new FlinkBatchPipelineTranslator(flinkBatchEnv, options);
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,11 @@
* requiring flink on the classpath (e.g. to use with the direct runner).
*/
public interface FlinkPipelineOptions
extends PipelineOptions, ApplicationNameOptions, StreamingOptions, FileStagingOptions {
extends PipelineOptions,
ApplicationNameOptions,
StreamingOptions,
FileStagingOptions,
VersionDependentFlinkPipelineOptions {

String AUTO = "[auto]";
String PIPELINED = "PIPELINED";
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -81,8 +81,9 @@ class FlinkStreamingPipelineTranslator extends FlinkPipelineTranslator {

private int depth = 0;

public FlinkStreamingPipelineTranslator(StreamExecutionEnvironment env, PipelineOptions options) {
this.streamingContext = new FlinkStreamingTranslationContext(env, options);
public FlinkStreamingPipelineTranslator(
StreamExecutionEnvironment env, PipelineOptions options, boolean isStreaming) {
this.streamingContext = new FlinkStreamingTranslationContext(env, options, isStreaming);
}

@Override
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -38,9 +38,7 @@
import org.apache.beam.runners.core.construction.SerializablePipelineOptions;
import org.apache.beam.runners.core.construction.SplittableParDo;
import org.apache.beam.runners.core.construction.TransformPayloadTranslatorRegistrar;
import org.apache.beam.runners.core.construction.UnboundedReadFromBoundedSource.BoundedToUnboundedSourceAdapter;
import org.apache.beam.runners.flink.translation.functions.FlinkAssignWindows;
import org.apache.beam.runners.flink.translation.functions.ImpulseSourceFunction;
import org.apache.beam.runners.flink.translation.types.CoderTypeInformation;
import org.apache.beam.runners.flink.translation.wrappers.streaming.DoFnOperator;
import org.apache.beam.runners.flink.translation.wrappers.streaming.KvToByteBufferKeySelector;
Expand All @@ -54,6 +52,9 @@
import org.apache.beam.runners.flink.translation.wrappers.streaming.io.DedupingOperator;
import org.apache.beam.runners.flink.translation.wrappers.streaming.io.TestStreamSource;
import org.apache.beam.runners.flink.translation.wrappers.streaming.io.UnboundedSourceWrapper;
import org.apache.beam.runners.flink.translation.wrappers.streaming.io.source.FlinkSource;
import org.apache.beam.runners.flink.translation.wrappers.streaming.io.source.bounded.FlinkBoundedSource;
import org.apache.beam.runners.flink.translation.wrappers.streaming.io.source.unbounded.FlinkUnboundedSource;
import org.apache.beam.sdk.coders.ByteArrayCoder;
import org.apache.beam.sdk.coders.Coder;
import org.apache.beam.sdk.coders.CoderException;
Expand Down Expand Up @@ -96,6 +97,7 @@
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.annotations.VisibleForTesting;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.ImmutableMap;
import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Maps;
import org.apache.flink.api.common.eventtime.WatermarkStrategy;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.common.functions.RichFlatMapFunction;
import org.apache.flink.api.common.functions.RichMapFunction;
Expand Down Expand Up @@ -220,16 +222,19 @@ public void translateNode(
context.getExecutionEnvironment().getMaxParallelism() > 0
? context.getExecutionEnvironment().getMaxParallelism()
: context.getExecutionEnvironment().getParallelism();
UnboundedSourceWrapper<T, ?> sourceWrapper =
new UnboundedSourceWrapper<>(
fullName, context.getPipelineOptions(), rawSource, parallelism);

FlinkUnboundedSource<T> unboundedSource =
FlinkSource.unbounded(
transform.getName(),
rawSource,
new SerializablePipelineOptions(context.getPipelineOptions()),
parallelism);
nonDedupSource =
context
.getExecutionEnvironment()
.addSource(sourceWrapper)
.name(fullName)
.uid(fullName)
.returns(withIdTypeInfo);
.fromSource(
unboundedSource, WatermarkStrategy.noWatermarks(), fullName, withIdTypeInfo)
.uid(fullName);

if (rawSource.requiresDeduping()) {
source =
Expand Down Expand Up @@ -303,15 +308,24 @@ void translateNode(Impulse transform, FlinkStreamingTranslationContext context)
WindowedValue.getFullCoder(ByteArrayCoder.of(), GlobalWindow.Coder.INSTANCE),
context.getPipelineOptions());

long shutdownAfterIdleSourcesMs =
context
.getPipelineOptions()
.as(FlinkPipelineOptions.class)
.getShutdownSourcesAfterIdleMs();
FlinkBoundedSource<byte[]> impulseSource;
WatermarkStrategy<WindowedValue<byte[]>> watermarkStrategy;
if (context.isStreaming()) {
long shutdownAfterIdleSourcesMs =
context
.getPipelineOptions()
.as(FlinkPipelineOptions.class)
.getShutdownSourcesAfterIdleMs();
impulseSource = FlinkSource.unboundedImpulse(shutdownAfterIdleSourcesMs);
watermarkStrategy = WatermarkStrategy.forMonotonousTimestamps();
} else {
impulseSource = FlinkSource.boundedImpulse();
watermarkStrategy = WatermarkStrategy.noWatermarks();
}
SingleOutputStreamOperator<WindowedValue<byte[]>> source =
context
.getExecutionEnvironment()
.addSource(new ImpulseSourceFunction(shutdownAfterIdleSourcesMs), "Impulse")
.fromSource(impulseSource, watermarkStrategy, "Impulse")
.returns(typeInfo);

context.setOutputDataStream(context.getOutput(transform), source);
Expand All @@ -330,7 +344,8 @@ private static class ReadSourceTranslator<T>
@Override
void translateNode(
PTransform<PBegin, PCollection<T>> transform, FlinkStreamingTranslationContext context) {
if (context.getOutput(transform).isBounded().equals(PCollection.IsBounded.BOUNDED)) {
if (ReadTranslation.sourceIsBounded(context.getCurrentTransform())
== PCollection.IsBounded.BOUNDED) {
boundedTranslator.translateNode(transform, context);
} else {
unboundedTranslator.translateNode(transform, context);
Expand Down Expand Up @@ -361,24 +376,26 @@ public void translateNode(
}

String fullName = getCurrentTransformName(context);
UnboundedSource<T, ?> adaptedRawSource = new BoundedToUnboundedSourceAdapter<>(rawSource);
int parallelism =
context.getExecutionEnvironment().getMaxParallelism() > 0
? context.getExecutionEnvironment().getMaxParallelism()
: context.getExecutionEnvironment().getParallelism();

FlinkBoundedSource<T> flinkBoundedSource =
FlinkSource.bounded(
transform.getName(),
rawSource,
new SerializablePipelineOptions(context.getPipelineOptions()),
parallelism);

DataStream<WindowedValue<T>> source;
try {
int parallelism =
context.getExecutionEnvironment().getMaxParallelism() > 0
? context.getExecutionEnvironment().getMaxParallelism()
: context.getExecutionEnvironment().getParallelism();
UnboundedSourceWrapperNoValueWithRecordId<T, ?> sourceWrapper =
new UnboundedSourceWrapperNoValueWithRecordId<>(
new UnboundedSourceWrapper<>(
fullName, context.getPipelineOptions(), adaptedRawSource, parallelism));
source =
context
.getExecutionEnvironment()
.addSource(sourceWrapper)
.name(fullName)
.uid(fullName)
.returns(outputTypeInfo);
.fromSource(
flinkBoundedSource, WatermarkStrategy.noWatermarks(), fullName, outputTypeInfo)
.uid(fullName);
} catch (Exception e) {
throw new RuntimeException("Error while translating BoundedSource: " + rawSource, e);
}
Expand Down Expand Up @@ -545,7 +562,9 @@ static <InputT, OutputT> void translateParDo(
KeySelector<WindowedValue<InputT>, ?> keySelector = null;
boolean stateful = false;
DoFnSignature signature = DoFnSignatures.getSignature(doFn.getClass());
if (signature.stateDeclarations().size() > 0 || signature.timerDeclarations().size() > 0) {
if (!signature.stateDeclarations().isEmpty()
|| !signature.timerDeclarations().isEmpty()
|| !signature.timerFamilyDeclarations().isEmpty()) {
// Based on the fact that the signature is stateful, DoFnSignatures ensures
// that it is also keyed
keyCoder = ((KvCoder) input.getCoder()).getKeyCoder();
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,7 @@ class FlinkStreamingTranslationContext {

private final StreamExecutionEnvironment env;
private final PipelineOptions options;
private final boolean isStreaming;

/**
* Keeps a mapping between the output value of the PTransform and the Flink Operator that produced
Expand All @@ -62,9 +63,11 @@ class FlinkStreamingTranslationContext {

private AppliedPTransform<?, ?, ?> currentTransform;

public FlinkStreamingTranslationContext(StreamExecutionEnvironment env, PipelineOptions options) {
public FlinkStreamingTranslationContext(
StreamExecutionEnvironment env, PipelineOptions options, boolean isStreaming) {
this.env = checkNotNull(env);
this.options = checkNotNull(options);
this.isStreaming = isStreaming;
}

public StreamExecutionEnvironment getExecutionEnvironment() {
Expand All @@ -75,6 +78,10 @@ public PipelineOptions getPipelineOptions() {
return options;
}

public boolean isStreaming() {
return isStreaming;
}

@SuppressWarnings("unchecked")
public <T> DataStream<T> getInputDataStream(PValue value) {
return (DataStream<T>) dataStreams.get(value);
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@
class FlinkTransformOverrides {
static List<PTransformOverride> getDefaultOverrides(FlinkPipelineOptions options) {
ImmutableList.Builder<PTransformOverride> builder = ImmutableList.builder();
if (options.isStreaming()) {
if (options.isStreaming() || options.getUseDataStreamForBatch()) {
builder
.add(
PTransformOverride.of(
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,33 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.beam.runners.flink;

import org.apache.beam.sdk.options.Default;
import org.apache.beam.sdk.options.Description;
import org.apache.beam.sdk.options.PipelineOptions;

public interface VersionDependentFlinkPipelineOptions extends PipelineOptions {

@Description(
"When set to true, the batch job execution will use DataStream API. "
+ "Otherwise, the batch job execution will use the legacy DataSet API.")
@Default.Boolean(false)
Boolean getUseDataStreamForBatch();

void setUseDataStreamForBatch(Boolean useDataStreamForBatch);
}
Loading
Loading