| /* |
| * 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.coders; |
| |
| import com.esotericsoftware.kryo.Kryo; |
| import java.util.ArrayList; |
| import java.util.LinkedHashMap; |
| import org.apache.beam.runners.spark.io.MicrobatchSource; |
| import org.apache.beam.runners.spark.stateful.SparkGroupAlsoByWindowViaWindowSet.StateAndTimers; |
| import org.apache.beam.runners.spark.translation.ValueAndCoderKryoSerializer; |
| import org.apache.beam.runners.spark.translation.ValueAndCoderLazySerializable; |
| import org.apache.beam.runners.spark.util.ByteArray; |
| import org.apache.beam.sdk.transforms.windowing.PaneInfo; |
| import org.apache.beam.sdk.values.KV; |
| import org.apache.beam.sdk.values.TupleTag; |
| import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.HashBasedTable; |
| import org.apache.spark.serializer.KryoRegistrator; |
| import scala.collection.mutable.WrappedArray; |
| |
| /** |
| * Custom {@link KryoRegistrator}s for Beam's Spark runner needs and registering used class in spark |
| * translation for better serialization performance. This is not the default serialization |
| * mechanism. |
| * |
| * <p>To use it you must enable the Kryo based serializer using {@code spark.serializer} with value |
| * {@code org.apache.spark.serializer.KryoSerializer} and register this class via Spark {@code |
| * spark.kryo.registrator} configuration. |
| */ |
| public class SparkRunnerKryoRegistrator implements KryoRegistrator { |
| |
| @Override |
| public void registerClasses(Kryo kryo) { |
| // MicrobatchSource is serialized as data and may not be Kryo-serializable. |
| kryo.register(MicrobatchSource.class, new StatelessJavaSerializer()); |
| kryo.register(ValueAndCoderLazySerializable.class, new ValueAndCoderKryoSerializer()); |
| |
| kryo.register(ArrayList.class); |
| kryo.register(ByteArray.class); |
| kryo.register(HashBasedTable.class); |
| kryo.register(KV.class); |
| kryo.register(LinkedHashMap.class); |
| kryo.register(Object[].class); |
| kryo.register(PaneInfo.class); |
| kryo.register(StateAndTimers.class); |
| kryo.register(TupleTag.class); |
| kryo.register(WrappedArray.ofRef.class); |
| |
| try { |
| kryo.register( |
| Class.forName("org.apache.beam.sdk.util.WindowedValue$TimestampedValueInGlobalWindow")); |
| kryo.register( |
| Class.forName( |
| "org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.HashBasedTable$Factory")); |
| } catch (ClassNotFoundException e) { |
| throw new IllegalStateException("Unable to register classes with kryo.", e); |
| } |
| } |
| } |