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[SPARK-3046] use executor's class loader as the default serializer cl…
…assloader The serializer is not always used in an executor thread (e.g. connection manager, broadcast), in which case the classloader might not have the user jar set, leading to corruption in deserialization. https://issues.apache.org/jira/browse/SPARK-3046 https://issues.apache.org/jira/browse/SPARK-2878 Author: Reynold Xin <rxin@apache.org> Closes apache#1972 from rxin/kryoBug and squashes the following commits: c1c7bf0 [Reynold Xin] Made change to JavaSerializer. 7204c33 [Reynold Xin] Added imports back. d879e67 [Reynold Xin] [SPARK-3046] use executor's class loader as the default serializer class loader.
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core/src/test/scala/org/apache/spark/serializer/KryoSerializerDistributedSuite.scala
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/* | ||
* 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. | ||
*/ | ||
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package org.apache.spark.serializer | ||
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import org.apache.spark.util.Utils | ||
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import com.esotericsoftware.kryo.Kryo | ||
import org.scalatest.FunSuite | ||
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import org.apache.spark.{LocalSparkContext, SparkConf, SparkContext, SparkEnv, TestUtils} | ||
import org.apache.spark.SparkContext._ | ||
import org.apache.spark.serializer.KryoDistributedTest._ | ||
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class KryoSerializerDistributedSuite extends FunSuite { | ||
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test("kryo objects are serialised consistently in different processes") { | ||
val conf = new SparkConf(false) | ||
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer") | ||
conf.set("spark.kryo.registrator", classOf[AppJarRegistrator].getName) | ||
conf.set("spark.task.maxFailures", "1") | ||
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val jar = TestUtils.createJarWithClasses(List(AppJarRegistrator.customClassName)) | ||
conf.setJars(List(jar.getPath)) | ||
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val sc = new SparkContext("local-cluster[2,1,512]", "test", conf) | ||
val original = Thread.currentThread.getContextClassLoader | ||
val loader = new java.net.URLClassLoader(Array(jar), Utils.getContextOrSparkClassLoader) | ||
SparkEnv.get.serializer.setDefaultClassLoader(loader) | ||
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val cachedRDD = sc.parallelize((0 until 10).map((_, new MyCustomClass)), 3).cache() | ||
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// Randomly mix the keys so that the join below will require a shuffle with each partition | ||
// sending data to multiple other partitions. | ||
val shuffledRDD = cachedRDD.map { case (i, o) => (i * i * i - 10 * i * i, o)} | ||
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// Join the two RDDs, and force evaluation | ||
assert(shuffledRDD.join(cachedRDD).collect().size == 1) | ||
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LocalSparkContext.stop(sc) | ||
} | ||
} | ||
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object KryoDistributedTest { | ||
class MyCustomClass | ||
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class AppJarRegistrator extends KryoRegistrator { | ||
override def registerClasses(k: Kryo) { | ||
val classLoader = Thread.currentThread.getContextClassLoader | ||
k.register(Class.forName(AppJarRegistrator.customClassName, true, classLoader)) | ||
} | ||
} | ||
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object AppJarRegistrator { | ||
val customClassName = "KryoSerializerDistributedSuiteCustomClass" | ||
} | ||
} |
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