| /* |
| * 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.structuredstreaming.translation.batch; |
| |
| import java.io.Serializable; |
| import org.apache.beam.runners.core.InMemoryStateInternals; |
| import org.apache.beam.runners.core.StateInternals; |
| import org.apache.beam.runners.core.StateInternalsFactory; |
| import org.apache.beam.runners.core.SystemReduceFn; |
| import org.apache.beam.runners.spark.structuredstreaming.translation.AbstractTranslationContext; |
| import org.apache.beam.runners.spark.structuredstreaming.translation.TransformTranslator; |
| import org.apache.beam.runners.spark.structuredstreaming.translation.batch.functions.GroupAlsoByWindowViaOutputBufferFn; |
| import org.apache.beam.runners.spark.structuredstreaming.translation.helpers.EncoderHelpers; |
| import org.apache.beam.runners.spark.structuredstreaming.translation.helpers.KVHelpers; |
| import org.apache.beam.sdk.coders.Coder; |
| import org.apache.beam.sdk.coders.IterableCoder; |
| import org.apache.beam.sdk.coders.KvCoder; |
| import org.apache.beam.sdk.transforms.PTransform; |
| import org.apache.beam.sdk.util.WindowedValue; |
| import org.apache.beam.sdk.values.KV; |
| import org.apache.beam.sdk.values.PCollection; |
| import org.apache.beam.sdk.values.WindowingStrategy; |
| import org.apache.spark.sql.Dataset; |
| import org.apache.spark.sql.KeyValueGroupedDataset; |
| |
| class GroupByKeyTranslatorBatch<K, V> |
| implements TransformTranslator< |
| PTransform<PCollection<KV<K, V>>, PCollection<KV<K, Iterable<V>>>>> { |
| |
| @Override |
| public void translateTransform( |
| PTransform<PCollection<KV<K, V>>, PCollection<KV<K, Iterable<V>>>> transform, |
| AbstractTranslationContext context) { |
| |
| @SuppressWarnings("unchecked") |
| final PCollection<KV<K, V>> inputPCollection = (PCollection<KV<K, V>>) context.getInput(); |
| Dataset<WindowedValue<KV<K, V>>> input = context.getDataset(inputPCollection); |
| WindowingStrategy<?, ?> windowingStrategy = inputPCollection.getWindowingStrategy(); |
| KvCoder<K, V> kvCoder = (KvCoder<K, V>) inputPCollection.getCoder(); |
| Coder<V> valueCoder = kvCoder.getValueCoder(); |
| |
| // group by key only |
| Coder<K> keyCoder = kvCoder.getKeyCoder(); |
| KeyValueGroupedDataset<K, WindowedValue<KV<K, V>>> groupByKeyOnly = |
| input.groupByKey(KVHelpers.extractKey(), EncoderHelpers.fromBeamCoder(keyCoder)); |
| |
| // group also by windows |
| WindowedValue.FullWindowedValueCoder<KV<K, Iterable<V>>> outputCoder = |
| WindowedValue.FullWindowedValueCoder.of( |
| KvCoder.of(keyCoder, IterableCoder.of(valueCoder)), |
| windowingStrategy.getWindowFn().windowCoder()); |
| Dataset<WindowedValue<KV<K, Iterable<V>>>> output = |
| groupByKeyOnly.flatMapGroups( |
| new GroupAlsoByWindowViaOutputBufferFn<>( |
| windowingStrategy, |
| new InMemoryStateInternalsFactory<>(), |
| SystemReduceFn.buffering(valueCoder), |
| context.getSerializableOptions()), |
| EncoderHelpers.fromBeamCoder(outputCoder)); |
| |
| context.putDataset(context.getOutput(), output); |
| } |
| |
| /** |
| * In-memory state internals factory. |
| * |
| * @param <K> State key type. |
| */ |
| static class InMemoryStateInternalsFactory<K> implements StateInternalsFactory<K>, Serializable { |
| @Override |
| public StateInternals stateInternalsForKey(K key) { |
| return InMemoryStateInternals.forKey(key); |
| } |
| } |
| } |