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Posted to issues@carbondata.apache.org by "xuchuanyin (JIRA)" <ji...@apache.org> on 2019/03/24 08:13:00 UTC

[jira] [Created] (CARBONDATA-3327) Errors lies in query with small blocklet size

xuchuanyin created CARBONDATA-3327:
--------------------------------------

             Summary: Errors lies in query with small blocklet size
                 Key: CARBONDATA-3327
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-3327
             Project: CarbonData
          Issue Type: Bug
            Reporter: xuchuanyin


while implementing the following patch
```diff
diff --git a/core/src/main/java/org/apache/carbondata/core/constants/CarbonCommonConstants.java b/core/src/main/java/org/apache/carbondata/core/constants/CarbonCommonConstants.java
index 69374ad..c6b63a4 100644
--- a/core/src/main/java/org/apache/carbondata/core/constants/CarbonCommonConstants.java
+++ b/core/src/main/java/org/apache/carbondata/core/constants/CarbonCommonConstants.java
@@ -54,7 +54,7 @@ public final class CarbonCommonConstants {
   /**
    * min blocklet size
    */
-  public static final int BLOCKLET_SIZE_MIN_VAL = 2000;
+  public static final int BLOCKLET_SIZE_MIN_VAL = 1;
 
   /**
    * max blocklet size
diff --git a/integration/spark-common-test/src/test/scala/org/apache/carbondata/spark/testsuite/sortcolumns/TestSortColumns.scala b/integration/spark-common-test/src/test/scala/org/apache/carbondata/spark/testsuite/sortcolumns/TestSortColumns.scala
index df97d0f..ace9fd5 100644
--- a/integration/spark-common-test/src/test/scala/org/apache/carbondata/spark/testsuite/sortcolumns/TestSortColumns.scala
+++ b/integration/spark-common-test/src/test/scala/org/apache/carbondata/spark/testsuite/sortcolumns/TestSortColumns.scala
@@ -29,6 +29,7 @@ import org.apache.carbondata.common.exceptions.sql.MalformedCarbonCommandExcepti
 class TestSortColumns extends QueryTest with BeforeAndAfterAll {
 
   override def beforeAll {
+    CarbonProperties.getInstance().addProperty(CarbonCommonConstants.BLOCKLET_SIZE, "2")
     CarbonProperties.getInstance().addProperty(
       CarbonCommonConstants.CARBON_TIMESTAMP_FORMAT, "dd-MM-yyyy")
 
```
I find that some of the tests in `TestSortColumns` failed with NPE and the error logs show that
```
19/03/23 20:54:30 ERROR Executor: Exception in task 0.0 in stage 104.0 (TID 173)
java.lang.NullPointerException
    at org.apache.parquet.io.api.Binary$ByteArrayBackedBinary.getBytes(Binary.java:294)
    at org.apache.spark.sql.execution.vectorized.ColumnVector.getUTF8String(ColumnVector.java:646)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:108)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
    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)
19/03/23 20:54:30 ERROR TaskSetManager: Task 0 in stage 104.0 failed 1 times; aborting job
19/03/23 20:54:30 INFO TestSortColumns: 

===== FINISHED org.apache.carbondata.spark.testsuite.sortcolumns.TestSortColumns: 'filter on sort_columns include no-dictionary, direct-dictionary and dictioanry' =====

19/03/23 20:54:30 INFO TestSortColumns: 

===== TEST OUTPUT FOR org.apache.carbondata.spark.testsuite.sortcolumns.TestSortColumns: 'unsorted table creation, query data loading with heap and safe sort config' =====


Job aborted due to stage failure: Task 0 in stage 104.0 failed 1 times, most recent failure: Lost task 0.0 in stage 104.0 (TID 173, localhost, executor driver): java.lang.NullPointerException
    at org.apache.parquet.io.api.Binary$ByteArrayBackedBinary.getBytes(Binary.java:294)
    at org.apache.spark.sql.execution.vectorized.ColumnVector.getUTF8String(ColumnVector.java:646)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:108)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
    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)

Driver stacktrace:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 104.0 failed 1 times, most recent failure: Lost task 0.0 in stage 104.0 (TID 173, localhost, executor driver): java.lang.NullPointerException
    at org.apache.parquet.io.api.Binary$ByteArrayBackedBinary.getBytes(Binary.java:294)
    at org.apache.spark.sql.execution.vectorized.ColumnVector.getUTF8String(ColumnVector.java:646)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:108)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
    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)

Driver stacktrace:
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1517)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1505)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1504)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1504)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
    at scala.Option.foreach(Option.scala:257)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1732)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1687)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1676)
    at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2050)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2069)
    at org.apache.spark.SparkContext.runJob(SparkContext.scala:2094)
    at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
    at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
    at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:278)
    at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:2861)
    at org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2387)
    at org.apache.spark.sql.Dataset$$anonfun$collect$1.apply(Dataset.scala:2387)
    at org.apache.spark.sql.Dataset$$anonfun$55.apply(Dataset.scala:2842)
    at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
    at org.apache.spark.sql.Dataset.withAction(Dataset.scala:2841)
    at org.apache.spark.sql.Dataset.collect(Dataset.scala:2387)
    at org.apache.spark.sql.test.util.QueryTest.checkAnswer(QueryTest.scala:100)
    at org.apache.carbondata.spark.testsuite.sortcolumns.TestSortColumns$$anonfun$17.apply$mcV$sp(TestSortColumns.scala:237)
    at org.apache.carbondata.spark.testsuite.sortcolumns.TestSortColumns$$anonfun$17.apply(TestSortColumns.scala:229)
    at org.apache.carbondata.spark.testsuite.sortcolumns.TestSortColumns$$anonfun$17.apply(TestSortColumns.scala:229)
    at org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
    at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
    at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
    at org.scalatest.Transformer.apply(Transformer.scala:22)
    at org.scalatest.Transformer.apply(Transformer.scala:20)
    at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
    at org.apache.spark.sql.test.util.CarbonFunSuite.withFixture(CarbonFunSuite.scala:41)
    at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
    at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
    at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
    at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
    at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:175)
    at org.scalatest.FunSuite.runTest(FunSuite.scala:1555)
    at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
    at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
    at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:413)
    at org.scalatest.SuperEngine$$anonfun$traverseSubNodes$1$1.apply(Engine.scala:401)
    at scala.collection.immutable.List.foreach(List.scala:381)
    at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
    at org.scalatest.SuperEngine.org$scalatest$SuperEngine$$runTestsInBranch(Engine.scala:396)
    at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:483)
    at org.scalatest.FunSuiteLike$class.runTests(FunSuiteLike.scala:208)
    at org.scalatest.FunSuite.runTests(FunSuite.scala:1555)
    at org.scalatest.Suite$class.run(Suite.scala:1424)
    at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1555)
    at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
    at org.scalatest.FunSuiteLike$$anonfun$run$1.apply(FunSuiteLike.scala:212)
    at org.scalatest.SuperEngine.runImpl(Engine.scala:545)
    at org.scalatest.FunSuiteLike$class.run(FunSuiteLike.scala:212)
    at org.apache.carbondata.spark.testsuite.sortcolumns.TestSortColumns.org$scalatest$BeforeAndAfterAll$$super$run(TestSortColumns.scala:29)
    at org.scalatest.BeforeAndAfterAll$class.liftedTree1$1(BeforeAndAfterAll.scala:257)
    at org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:256)
    at org.apache.carbondata.spark.testsuite.sortcolumns.TestSortColumns.run(TestSortColumns.scala:29)
    at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:55)
    at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$3.apply(Runner.scala:2563)
    at org.scalatest.tools.Runner$$anonfun$doRunRunRunDaDoRunRun$3.apply(Runner.scala:2557)
    at scala.collection.immutable.List.foreach(List.scala:381)
    at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:2557)
    at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1044)
    at org.scalatest.tools.Runner$$anonfun$runOptionallyWithPassFailReporter$2.apply(Runner.scala:1043)
    at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:2722)
    at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1043)
    at org.scalatest.tools.Runner$.run(Runner.scala:883)
    at org.scalatest.tools.Runner.run(Runner.scala)
    at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2(ScalaTestRunner.java:138)
    at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:28)
Caused by: java.lang.NullPointerException
    at org.apache.parquet.io.api.Binary$ByteArrayBackedBinary.getBytes(Binary.java:294)
    at org.apache.spark.sql.execution.vectorized.ColumnVector.getUTF8String(ColumnVector.java:646)
    at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234)
    at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
    at org.apache.spark.scheduler.Task.run(Task.scala:108)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
    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)

```

I think there may exist some problems in querying if the blocklet size is relative small compared with the loading size.



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