[jira] [Created] (SPARK-27587) No such method error (sun.nio.ch.DirectBuffer.cleaner()) when reading big table from JDBC (with one slow query)

["Mohsen Taheri (JIRA)" <ji...@apache.org>]

Mohsen Taheri created SPARK-27587:
-------------------------------------

             Summary: No such method error (sun.nio.ch.DirectBuffer.cleaner()) when reading big table from JDBC (with one slow query)
                 Key: SPARK-27587
                 URL: https://issues.apache.org/jira/browse/SPARK-27587
             Project: Spark
          Issue Type: Sub-task
          Components: Spark Core, SQL
    Affects Versions: 2.4.2, 2.4.1
            Reporter: Mohsen Taheri


It throws the error while reading big tables from JDBC data source:

> Code:

sparkSession.read()
 .option("numPartitions", data.numPartitions)
 .option("partitionColumn", data.pk)
 .option("lowerBound", data.min)
 .option("upperBound", data.max)
 .option("queryTimeout", 180).
 format("jdbc").
 jdbc(dbURL, tableName, props).
 repartition(10).write().mode(SaveMode.Overwrite).parquet(tableF.getAbsolutePath());

 

> Stacktrace:

Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.lang.NoSuchMethodError: sun.nio.ch.DirectBuffer.cleaner()Lsun/misc/Cleaner; +details
Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.lang.NoSuchMethodError: sun.nio.ch.DirectBuffer.cleaner()Lsun/misc/Cleaner;
 at org.apache.spark.storage.StorageUtils$.cleanDirectBuffer(StorageUtils.scala:212)
 at org.apache.spark.storage.StorageUtils$.dispose(StorageUtils.scala:207)
 at org.apache.spark.storage.StorageUtils.dispose(StorageUtils.scala)
 at org.apache.spark.io.NioBufferedFileInputStream.close(NioBufferedFileInputStream.java:130)
 at java.base/java.io.FilterInputStream.close(FilterInputStream.java:180)
 at org.apache.spark.io.ReadAheadInputStream.close(ReadAheadInputStream.java:400)
 at org.apache.spark.util.collection.unsafe.sort.UnsafeSorterSpillReader.close(UnsafeSorterSpillReader.java:151)
 at org.apache.spark.util.collection.unsafe.sort.UnsafeSorterSpillReader.loadNext(UnsafeSorterSpillReader.java:123)
 at org.apache.spark.util.collection.unsafe.sort.UnsafeSorterSpillMerger$1.loadNext(UnsafeSorterSpillMerger.java:82)
 at org.apache.spark.sql.execution.UnsafeExternalRowSorter$1.next(UnsafeExternalRowSorter.java:187)
 at org.apache.spark.sql.execution.UnsafeExternalRowSorter$1.next(UnsafeExternalRowSorter.java:174)
 at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
 at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:149)
 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
 at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
 at org.apache.spark.scheduler.Task.run(Task.scala:121)
 at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:411)
 at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
 at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
 at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
 at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
 at java.base/java.lang.Thread.run(Thread.java:834)

 



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