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Posted to github@beam.apache.org by "twosom (via GitHub)" <gi...@apache.org> on 2024/12/03 05:43:15 UTC

[PR] Added support for Spark streaming stateful ParDo [beam]

twosom opened a new pull request, #33267:
URL: https://github.com/apache/beam/pull/33267

   **Please** add a meaningful description for your change here
   
   fixes #33237 
   
   This PR contains these changes
   - added support for Spark streaming stateful ParDo
   
   ------------------------
   
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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "codecov[bot] (via GitHub)" <gi...@apache.org>.
codecov[bot] commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2551731389

   ## [Codecov](https://app.codecov.io/gh/apache/beam/pull/33267?dropdown=coverage&src=pr&el=h1&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=apache) Report
   All modified and coverable lines are covered by tests :white_check_mark:
   > Project coverage is 57.37%. Comparing base [(`9232cd8`)](https://app.codecov.io/gh/apache/beam/commit/9232cd81eff85b731ebc8cd90c4790b5d1f1f431?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=apache) to head [(`eda50b2`)](https://app.codecov.io/gh/apache/beam/commit/eda50b2b84d11ee4cc2fe3f74081d686b8722996?dropdown=coverage&el=desc&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=apache).
   > Report is 8 commits behind head on master.
   
   <details><summary>Additional details and impacted files</summary>
   
   
   ```diff
   @@            Coverage Diff            @@
   ##             master   #33267   +/-   ##
   =========================================
     Coverage     57.37%   57.37%           
     Complexity     1475     1475           
   =========================================
     Files           973      973           
     Lines        154905   154918   +13     
     Branches       1076     1076           
   =========================================
   + Hits          88879    88887    +8     
   - Misses        63810    63821   +11     
   + Partials       2216     2210    -6     
   ```
   
   </details>
   
   [:umbrella: View full report in Codecov by Sentry](https://app.codecov.io/gh/apache/beam/pull/33267?dropdown=coverage&src=pr&el=continue&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=apache).   
   :loudspeaker: Have feedback on the report? [Share it here](https://about.codecov.io/codecov-pr-comment-feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=apache).
   


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Re: [PR] Added support for Spark streaming stateful processing [beam]

Posted by "twosom (via GitHub)" <gi...@apache.org>.
twosom commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2513724038

   Run Java PreCommit


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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "twosom (via GitHub)" <gi...@apache.org>.
twosom commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2548801105

   @kennknowles 
   
   Hi! 
   Just wanted to give you a gentle ping about my PR as I've been waiting for a review 😊
   Would really appreciate your insights when you have a moment.
   
   Thanks a lot!
   


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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "twosom (via GitHub)" <gi...@apache.org>.
twosom commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2523923579

   Run Java_Spark3_Versions PreCommit


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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "kennknowles (via GitHub)" <gi...@apache.org>.
kennknowles commented on code in PR #33267:
URL: https://github.com/apache/beam/pull/33267#discussion_r1890387248


##########
runners/spark/src/main/java/org/apache/beam/runners/spark/translation/streaming/StatefulStreamingParDoEvaluator.java:
##########
@@ -0,0 +1,246 @@
+/*
+ * 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.spark.translation.streaming;
+
+import static org.apache.beam.runners.spark.translation.TranslationUtils.getBatchDuration;
+import static org.apache.beam.runners.spark.translation.TranslationUtils.rejectTimers;
+import static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkArgument;
+import static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkState;
+
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import org.apache.beam.runners.core.construction.SerializablePipelineOptions;
+import org.apache.beam.runners.spark.coders.CoderHelpers;
+import org.apache.beam.runners.spark.metrics.MetricsAccumulator;
+import org.apache.beam.runners.spark.metrics.MetricsContainerStepMapAccumulator;
+import org.apache.beam.runners.spark.stateful.StateAndTimers;
+import org.apache.beam.runners.spark.translation.EvaluationContext;
+import org.apache.beam.runners.spark.translation.SparkPCollectionView;
+import org.apache.beam.runners.spark.translation.TransformEvaluator;
+import org.apache.beam.runners.spark.translation.TranslationUtils;
+import org.apache.beam.runners.spark.util.ByteArray;
+import org.apache.beam.runners.spark.util.GlobalWatermarkHolder;
+import org.apache.beam.runners.spark.util.SideInputBroadcast;
+import org.apache.beam.sdk.coders.Coder;
+import org.apache.beam.sdk.coders.KvCoder;
+import org.apache.beam.sdk.transforms.DoFn;
+import org.apache.beam.sdk.transforms.DoFnSchemaInformation;
+import org.apache.beam.sdk.transforms.ParDo;
+import org.apache.beam.sdk.transforms.reflect.DoFnSignature;
+import org.apache.beam.sdk.transforms.reflect.DoFnSignatures;
+import org.apache.beam.sdk.transforms.windowing.WindowFn;
+import org.apache.beam.sdk.util.WindowedValue;
+import org.apache.beam.sdk.util.construction.ParDoTranslation;
+import org.apache.beam.sdk.values.KV;
+import org.apache.beam.sdk.values.PCollection;
+import org.apache.beam.sdk.values.PCollectionView;
+import org.apache.beam.sdk.values.TupleTag;
+import org.apache.beam.sdk.values.WindowingStrategy;
+import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Iterables;
+import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Iterators;
+import org.apache.spark.streaming.State;
+import org.apache.spark.streaming.StateSpec;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaMapWithStateDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import scala.Option;
+import scala.Tuple2;
+
+/**
+ * A specialized evaluator for ParDo operations in Spark Streaming context that is invoked when
+ * stateful streaming is detected in the DoFn.
+ *
+ * <p>This class is used by {@link StreamingTransformTranslator}'s ParDo evaluator to handle
+ * stateful streaming operations. When a DoFn contains stateful processing logic, the translation
+ * process routes the execution through this evaluator instead of the standard ParDo evaluator.
+ *
+ * <p>The evaluator manages state handling and ensures proper processing semantics for streaming
+ * stateful operations in the Spark runner context.
+ *
+ * <p>Important: This evaluator includes validation logic that rejects DoFn implementations
+ * containing {@code @Timer} annotations, as timer functionality is not currently supported in the
+ * Spark streaming context.
+ */
+public class StatefulStreamingParDoEvaluator<KeyT, ValueT, OutputT>
+    implements TransformEvaluator<ParDo.MultiOutput<KV<KeyT, ValueT>, OutputT>> {
+
+  @Override
+  public void evaluate(
+      ParDo.MultiOutput<KV<KeyT, ValueT>, OutputT> transform, EvaluationContext context) {
+    final DoFn<KV<KeyT, ValueT>, OutputT> doFn = transform.getFn();
+    final DoFnSignature signature = DoFnSignatures.signatureForDoFn(doFn);
+
+    rejectTimers(doFn);
+    checkArgument(
+        !signature.processElement().isSplittable(),

Review Comment:
   Splittable and stateful are also just not compatible, so this situation should be impossible.



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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "kennknowles (via GitHub)" <gi...@apache.org>.
kennknowles merged PR #33267:
URL: https://github.com/apache/beam/pull/33267


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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "twosom (via GitHub)" <gi...@apache.org>.
twosom commented on code in PR #33267:
URL: https://github.com/apache/beam/pull/33267#discussion_r1890932261


##########
runners/spark/src/main/java/org/apache/beam/runners/spark/translation/streaming/StatefulStreamingParDoEvaluator.java:
##########
@@ -0,0 +1,246 @@
+/*
+ * 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.spark.translation.streaming;
+
+import static org.apache.beam.runners.spark.translation.TranslationUtils.getBatchDuration;
+import static org.apache.beam.runners.spark.translation.TranslationUtils.rejectTimers;
+import static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkArgument;
+import static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkState;
+
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import org.apache.beam.runners.core.construction.SerializablePipelineOptions;
+import org.apache.beam.runners.spark.coders.CoderHelpers;
+import org.apache.beam.runners.spark.metrics.MetricsAccumulator;
+import org.apache.beam.runners.spark.metrics.MetricsContainerStepMapAccumulator;
+import org.apache.beam.runners.spark.stateful.StateAndTimers;
+import org.apache.beam.runners.spark.translation.EvaluationContext;
+import org.apache.beam.runners.spark.translation.SparkPCollectionView;
+import org.apache.beam.runners.spark.translation.TransformEvaluator;
+import org.apache.beam.runners.spark.translation.TranslationUtils;
+import org.apache.beam.runners.spark.util.ByteArray;
+import org.apache.beam.runners.spark.util.GlobalWatermarkHolder;
+import org.apache.beam.runners.spark.util.SideInputBroadcast;
+import org.apache.beam.sdk.coders.Coder;
+import org.apache.beam.sdk.coders.KvCoder;
+import org.apache.beam.sdk.transforms.DoFn;
+import org.apache.beam.sdk.transforms.DoFnSchemaInformation;
+import org.apache.beam.sdk.transforms.ParDo;
+import org.apache.beam.sdk.transforms.reflect.DoFnSignature;
+import org.apache.beam.sdk.transforms.reflect.DoFnSignatures;
+import org.apache.beam.sdk.transforms.windowing.WindowFn;
+import org.apache.beam.sdk.util.WindowedValue;
+import org.apache.beam.sdk.util.construction.ParDoTranslation;
+import org.apache.beam.sdk.values.KV;
+import org.apache.beam.sdk.values.PCollection;
+import org.apache.beam.sdk.values.PCollectionView;
+import org.apache.beam.sdk.values.TupleTag;
+import org.apache.beam.sdk.values.WindowingStrategy;
+import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Iterables;
+import org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.collect.Iterators;
+import org.apache.spark.streaming.State;
+import org.apache.spark.streaming.StateSpec;
+import org.apache.spark.streaming.api.java.JavaDStream;
+import org.apache.spark.streaming.api.java.JavaMapWithStateDStream;
+import org.apache.spark.streaming.api.java.JavaPairDStream;
+import scala.Option;
+import scala.Tuple2;
+
+/**
+ * A specialized evaluator for ParDo operations in Spark Streaming context that is invoked when
+ * stateful streaming is detected in the DoFn.
+ *
+ * <p>This class is used by {@link StreamingTransformTranslator}'s ParDo evaluator to handle
+ * stateful streaming operations. When a DoFn contains stateful processing logic, the translation
+ * process routes the execution through this evaluator instead of the standard ParDo evaluator.
+ *
+ * <p>The evaluator manages state handling and ensures proper processing semantics for streaming
+ * stateful operations in the Spark runner context.
+ *
+ * <p>Important: This evaluator includes validation logic that rejects DoFn implementations
+ * containing {@code @Timer} annotations, as timer functionality is not currently supported in the
+ * Spark streaming context.
+ */
+public class StatefulStreamingParDoEvaluator<KeyT, ValueT, OutputT>
+    implements TransformEvaluator<ParDo.MultiOutput<KV<KeyT, ValueT>, OutputT>> {
+
+  @Override
+  public void evaluate(
+      ParDo.MultiOutput<KV<KeyT, ValueT>, OutputT> transform, EvaluationContext context) {
+    final DoFn<KV<KeyT, ValueT>, OutputT> doFn = transform.getFn();
+    final DoFnSignature signature = DoFnSignatures.signatureForDoFn(doFn);
+
+    rejectTimers(doFn);
+    checkArgument(
+        !signature.processElement().isSplittable(),

Review Comment:
   You're right! I'll remove this redundant check in a follow-up PR since splittable and stateful are mutually exclusive by design. Thank you for catching this. 😀



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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "twosom (via GitHub)" <gi...@apache.org>.
twosom commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2523856240

   @kennknowles 
   
   i touched trigger files!
   Thanks!


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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "kennknowles (via GitHub)" <gi...@apache.org>.
kennknowles commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2523845129

   Ah can you add a small change to these files, which will cause the ValidatesRunner tests for stateful processing to run?
   
   - https://github.com/apache/beam/blob/master/.github/trigger_files/beam_PostCommit_Java_ValidatesRunner_Spark.json
   - https://github.com/apache/beam/blob/master/.github/trigger_files/beam_PostCommit_Java_ValidatesRunner_SparkStructuredStreaming.json
   - https://github.com/apache/beam/blob/master/.github/trigger_files/beam_PostCommit_Java_ValidatesRunner_Spark_Java8.json
   
   I don't know the codebase enough at this point to know what is the sharing between the things tested by these jobs.
   
   (incidentally there is a `_Java11` trigger file in that directory but the job is gone since 11 is now the default and it is the Java 8 test that is the outlier)


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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "liferoad (via GitHub)" <gi...@apache.org>.
liferoad commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2518381548

   R: @kennknowles 


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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2518383818

   Stopping reviewer notifications for this pull request: review requested by someone other than the bot, ceding control. If you'd like to restart, comment `assign set of reviewers`


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Re: [PR] Added support for SparkRunner streaming stateful processing [beam]

Posted by "kennknowles (via GitHub)" <gi...@apache.org>.
kennknowles commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2549207796

   Acknowledged! I'm on it.


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Re: [PR] Added support for Spark streaming stateful processing [beam]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #33267:
URL: https://github.com/apache/beam/pull/33267#issuecomment-2513644613

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Re: [PR] Added support for Spark streaming stateful processing [beam]

Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
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URL: https://github.com/apache/beam/pull/33267#issuecomment-2513761866

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