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https://issues.apache.org/jira/browse/SPARK-9135?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16780274#comment-16780274
]
Valeria Vasylieva edited comment on SPARK-9135 at 2/28/19 8:58 AM:
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I have investigated this issue and here what I have found.
Exception is caused by this [JDK
bug|[https://bugs.java.com/bugdatabase/view_bug.do?bug_id=8154236]], that is
still unresolved:
When passed to executors Java lambdas are serialized to
{{java.lang.invoke.SerializedLambda}} invoking {{writeResolve}} method [here
|[https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala#L198]].
And if you debug, than you will see that at this point lambda is working
correctly and this call returns {{true}}:
{code:java}
closure.asInstanceOf[Function].apply(new JavaJdbcRDDSuite.Apple()).{code}
When lambda is deserialized on executor, the method
{{java.lang.invoke.SerializedLambda#readResolve}} is called from
{{java.io.ObjectInputStream#readOrdinaryObject}} and if you try to execute this
expression on function after deserialization, you will get
{{ClassCastException}}:
{code:java}
((Function) rep).call(new JavaJdbcRDDSuite.Apple()){code}
I think the issue may be closed as it does not relate to the Spark itself.
was (Author: nimfadora):
I have investigated this issue and here what I have found.
Exception is caused by this [JDK
bug|[https://bugs.java.com/bugdatabase/view_bug.do?bug_id=8154236]|[https://bugs.java.com/bugdatabase/view_bug.do?bug_id=8154236]],
that is still unresolved:
When passed to executors Java lambdas are serialized to
{{java.lang.invoke.SerializedLambda}} invoking {{writeResolve}} method [here
|[https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/util/ClosureCleaner.scala#L198]].
And if you debug, than you will see that at this point lambda is working
correctly and this call returns {{true}}:
{code:java}
closure.asInstanceOf[Function].apply(new JavaJdbcRDDSuite.Apple()).{code}
When lambda is deserialized on executor, the method
{{java.lang.invoke.SerializedLambda#readResolve}} is called from
{{java.io.ObjectInputStream#readOrdinaryObject}} and if you try to execute this
expression on function after deserialization, you will get
{{ClassCastException}}:
{code:java}
((Function) rep).call(new JavaJdbcRDDSuite.Apple()){code}
I think the issue may be closed as it does not relate to the Spark itself.
> Filter fails when filtering with a method reference to overloaded method
> ------------------------------------------------------------------------
>
> Key: SPARK-9135
> URL: https://issues.apache.org/jira/browse/SPARK-9135
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 1.4.0
> Reporter: Mateusz Michalowski
> Priority: Major
>
> Filter fails when filtering with a method reference to overloaded method.
> In the example below we filter by Fruit::isRed, which is overloaded by
> Apple::isRed and Banana::isRed.
> {code}
> apples.filter(Fruit::isRed)
> bananas.filter(Fruit::isRed) //throws!
> {code}
> Spark will try to cast Apple::isRed to Banana::isRed - and then throw as a
> result.
> However if we filter more generic rdd first - all works fine
> {code}
> fruit.filter(Fruit::isRed)
> bananas.filter(Fruit::isRed) //works fine!
> {code}
> It also works well if we use lambda instead of the method reference
> {code}
> apples.filter(f -> f.isRed())
> bananas.filter(f -> f.isRed()) //works fine!
> {code}
> I attach a test setup below:
> {code:java}
> package com.doggybites;
> import org.apache.spark.SparkConf;
> import org.apache.spark.api.java.JavaRDD;
> import org.apache.spark.api.java.JavaSparkContext;
> import org.junit.After;
> import org.junit.Before;
> import org.junit.Test;
> import java.io.Serializable;
> import java.util.Arrays;
> import static org.hamcrest.CoreMatchers.equalTo;
> import static org.junit.Assert.assertThat;
> public class SparkTest {
> static abstract class Fruit implements Serializable {
> abstract boolean isRed();
> }
> static class Banana extends Fruit {
> @Override
> boolean isRed() {
> return false;
> }
> }
> static class Apple extends Fruit {
> @Override
> boolean isRed() {
> return true;
> }
> }
> private JavaSparkContext sparkContext;
> @Before
> public void setUp() throws Exception {
> SparkConf sparkConf = new
> SparkConf().setAppName("test").setMaster("local[2]");
> sparkContext = new JavaSparkContext(sparkConf);
> }
> @After
> public void tearDown() throws Exception {
> sparkContext.stop();
> }
> private <T> JavaRDD<T> toRdd(T ... array) {
> return sparkContext.parallelize(Arrays.asList(array));
> }
> @Test
> public void filters_apples_and_bananas_with_method_reference() {
> JavaRDD<Apple> appleRdd = toRdd(new Apple());
> JavaRDD<Banana> bananaRdd = toRdd(new Banana());
>
> long redAppleCount = appleRdd.filter(Fruit::isRed).count();
> long redBananaCount = bananaRdd.filter(Fruit::isRed).count();
> assertThat(redAppleCount, equalTo(1L));
> assertThat(redBananaCount, equalTo(0L));
> }
> }
> {code}
> The test above throws:
> {code}
> 15/07/17 14:10:04 ERROR Executor: Exception in task 1.0 in stage 1.0 (TID 3)
> java.lang.ClassCastException: com.doggybites.SparkTest$Banana cannot be cast
> to com.doggybites.SparkTest$Apple
> at com.doggybites.SparkTest$$Lambda$2/976119300.call(Unknown Source)
> at
> org.apache.spark.api.java.JavaRDD$$anonfun$filter$1.apply(JavaRDD.scala:78)
> at
> org.apache.spark.api.java.JavaRDD$$anonfun$filter$1.apply(JavaRDD.scala:78)
> at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:390)
> at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1626)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1099)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1099)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> 15/07/17 14:10:04 WARN TaskSetManager: Lost task 1.0 in stage 1.0 (TID 3,
> localhost): java.lang.ClassCastException: com.doggybites.SparkTest$Banana
> cannot be cast to com.doggybites.SparkTest$Apple
> at com.doggybites.SparkTest$$Lambda$2/976119300.call(Unknown Source)
> at
> org.apache.spark.api.java.JavaRDD$$anonfun$filter$1.apply(JavaRDD.scala:78)
> at
> org.apache.spark.api.java.JavaRDD$$anonfun$filter$1.apply(JavaRDD.scala:78)
> at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:390)
> at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1626)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1099)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1099)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1767)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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