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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/02/22 00:43:00 UTC
[jira] [Assigned] (SPARK-26963) SizeEstimator can't make some JDK
fields accessible in Java 9+
[ https://issues.apache.org/jira/browse/SPARK-26963?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-26963:
------------------------------------
Assignee: Apache Spark (was: Sean Owen)
> SizeEstimator can't make some JDK fields accessible in Java 9+
> --------------------------------------------------------------
>
> Key: SPARK-26963
> URL: https://issues.apache.org/jira/browse/SPARK-26963
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Sean Owen
> Assignee: Apache Spark
> Priority: Minor
>
> Copied from https://github.com/apache/spark/pull/23804#issuecomment-466198782
> Under Java 11, tests fail with:
> {code}
> [ERROR] Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.935 s <<< FAILURE! - in org.apache.spark.ml.regression.JavaGBTRegressorSuite
> [ERROR] runDT(org.apache.spark.ml.regression.JavaGBTRegressorSuite) Time elapsed: 0.933 s <<< ERROR!
> java.lang.reflect.InaccessibleObjectException: Unable to make field jdk.internal.ref.PhantomCleanable jdk.internal.ref.PhantomCleanable.prev accessible: module java.base does not "opens jdk.internal.ref" to unnamed module @4212a0c8
> at org.apache.spark.ml.regression.JavaGBTRegressorSuite.runDT(JavaGBTRegressorSuite.java:65)
> [INFO] Running org.apache.spark.ml.regression.JavaDecisionTreeRegressorSuite
> [INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 0.43 s - in org.apache.spark.ml.regression.JavaDecisionTreeRegressorSuite
> [INFO] Running org.apache.spark.ml.regression.JavaRandomForestRegressorSuite
> [ERROR] Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.507 s <<< FAILURE! - in org.apache.spark.ml.regression.JavaRandomForestRegressorSuite
> [ERROR] runDT(org.apache.spark.ml.regression.JavaRandomForestRegressorSuite) Time elapsed: 0.506 s <<< ERROR!
> java.lang.reflect.InaccessibleObjectException: Unable to make field jdk.internal.ref.PhantomCleanable jdk.internal.ref.PhantomCleanable.prev accessible: module java.base does not "opens jdk.internal.ref" to unnamed module @4212a0c8
> at org.apache.spark.ml.regression.JavaRandomForestRegressorSuite.runDT(JavaRandomForestRegressorSuite.java:88)
> {code}
> Stack trace:
> {code}
> at java.base/java.lang.reflect.AccessibleObject.checkCanSetAccessible(AccessibleObject.java:337)
> at java.base/java.lang.reflect.AccessibleObject.checkCanSetAccessible(AccessibleObject.java:281)
> at java.base/java.lang.reflect.Field.checkCanSetAccessible(Field.java:176)
> at java.base/java.lang.reflect.Field.setAccessible(Field.java:170)
> at org.apache.spark.util.SizeEstimator$.$anonfun$getClassInfo$2(SizeEstimator.scala:337)
> at org.apache.spark.util.SizeEstimator$.$anonfun$getClassInfo$2$adapted(SizeEstimator.scala:331)
> at scala.collection.IndexedSeqOptimized.foreach(IndexedSeqOptimized.scala:36)
> at scala.collection.IndexedSeqOptimized.foreach$(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:198)
> at org.apache.spark.util.SizeEstimator$.getClassInfo(SizeEstimator.scala:331)
> at org.apache.spark.util.SizeEstimator$.getClassInfo(SizeEstimator.scala:325)
> at org.apache.spark.util.SizeEstimator$.visitSingleObject(SizeEstimator.scala:223)
> at org.apache.spark.util.SizeEstimator$.estimate(SizeEstimator.scala:202)
> at org.apache.spark.util.SizeEstimator$.estimate(SizeEstimator.scala:70)
> at org.apache.spark.util.collection.SizeTracker.takeSample(SizeTracker.scala:78)
> at org.apache.spark.util.collection.SizeTracker.afterUpdate(SizeTracker.scala:70)
> at org.apache.spark.util.collection.SizeTracker.afterUpdate$(SizeTracker.scala:67)
> at org.apache.spark.util.collection.SizeTrackingVector.$plus$eq(SizeTrackingVector.scala:31)
> at org.apache.spark.storage.memory.DeserializedValuesHolder.storeValue(MemoryStore.scala:665)
> at org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:222)
> at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:299)
> at org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1166)
> at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1092)
> at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1157)
> at org.apache.spark.storage.BlockManager.putIterator(BlockManager.scala:915)
> at org.apache.spark.storage.BlockManager.putSingle(BlockManager.scala:1482)
> at org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:133)
> at org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:91)
> at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:34)
> at org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62)
> at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1427)
> at org.apache.spark.ml.regression.GBTRegressionModel.transformImpl(GBTRegressor.scala:249)
> {code}
> The fix is to not include fields in the estimate that can't be accessed anyway, for this or really any SecurityException on setAccessible. The impact on the estimate should be fairly limited, as it didn't cause failures in but a few tests.
> One other open question is, why did only this come up in a very few cases like broadcasting GBTRegressionModel? and why PhantomReference, which isn't used in (non-test) Spark code? I can't see anything odd about this model class.
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