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https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15465316#comment-15465316
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Ruben Hernando commented on SPARK-15822:
----------------------------------------
{quote}
== Parsed Logical Plan ==
'Project [*]
+- 'UnresolvedRelation `COEQ_63`
== Analyzed Logical Plan ==
InstanceId: bigint, price: double, ZoneId: int, priceItemId: int, priceId: int
Project [InstanceId#20236L, price#20237, ZoneId#20239, priceItemId#20242,
priceId#20244]
+- SubqueryAlias coeq_63
+- Project [_TableSL_SID#143L AS InstanceId#20236L, SL_RD_ColR_N#189 AS
price#20237, 24 AS ZoneId#20239, 6 AS priceItemId#20242, 63 AS priceId#20244]
+- SubqueryAlias 6__input
+-
Relation[_TableSL_SID#143L,_TableP_DC_SID#144L,_TableSH_SID#145L,ID#146,Name#147,TableP_DCID#148,TableSHID#149,SL_ACT_GI_DTE#150,SL_Xcl_C#151,SL_Xcl_C#152,SL_Css_Cojs#153L,SL_Config#154,SL_CREATEDON#
.......... 36 more fields] JDBCRelation((select [SLTables].[_TableSL_SID],
[SLTables]. ... [...] FROM [sch].[SLTables] [SLTables] JOIN sch.TPSLTables
TPSLTables ON [TPSLTables].[_TableSL_SID] = [SLTables].[_TableSL_SID] where _TP
= 24) input)
== Optimized Logical Plan ==
Project [_TableSL_SID#143L AS InstanceId#20236L, SL_RD_ColR_N#189 AS
price#20237, 24 AS ZoneId#20239, 6 AS priceItemId#20242, 63 AS priceId#20244]
+- InMemoryRelation [_TableSL_SID#143L, _TableP_DC_SID#144L, _TableSH_SID#145L,
ID#146, Name#147, ... 36 more fields], true, 10000, StorageLevel(disk, memory,
deserialized, 1 replicas)
: +- *Scan JDBCRelation((select [SLTables].[_TableSL_SID],
[SLTables].[_TableP_DC_SID], [SLTables].[_TableSH_SID], [SLTables].[ID],
[SLTables].[Name], [SLTables].[TableP_DCID], [SLTables].[TableSHID],
[TPSLTables].[SL_ACT_GI_DTE], ... [...] FROM [sch].[SLTables] [SLTables] JOIN
sch.TPSLTables TPSLTables ON [TPSLTables].[_TableSL_SID] =
[SLTables].[_TableSL_SID] where _TP = 24) input)
[_TableSL_SID#143L,_TableP_DC_SID#144L,_TableSH_SID#145L,ID#146,Name#147,TableP_DCID#148,TableSHID#149,SL_ACT_GI_DTE#150,SL_Xcl_C#151,...
36 more fields]
== Physical Plan ==
*Project [_TableSL_SID#143L AS InstanceId#20236L, SL_RD_ColR_N#189 AS
price#20237, 24 AS ZoneId#20239, 6 AS priceItemId#20242, 63 AS priceId#20244]
+- InMemoryTableScan [_TableSL_SID#143L, SL_RD_ColR_N#189]
: +- InMemoryRelation [_TableSL_SID#143L, _TableP_DC_SID#144L,
_TableSH_SID#145L, ID#146, Name#147, ... 36 more fields], true, 10000,
StorageLevel(disk, memory, deserialized, 1 replicas)
: : +- *Scan JDBCRelation((select [SLTables].[_TableSL_SID],
[SLTables].[_TableP_DC_SID], [SLTables].[_TableSH_SID], [SLTables].[ID],
[SLTables].[Name], [SLTables].[TableP_DCID], ... [...] FROM [sch].[SLTables]
[SLTables] JOIN sch.TPSLTables TPSLTables ON [TPSLTables].[_TableSL_SID] =
[SLTables].[_TableSL_SID] where _TP = 24) input)
[_TableSL_SID#143L,_TableP_DC_SID#144L,_TableSH_SID#145L,ID#146,Name#147,,...
36 more fields]
{quote}
> segmentation violation in o.a.s.unsafe.types.UTF8String
> --------------------------------------------------------
>
> Key: SPARK-15822
> URL: https://issues.apache.org/jira/browse/SPARK-15822
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Environment: linux amd64
> openjdk version "1.8.0_91"
> OpenJDK Runtime Environment (build 1.8.0_91-b14)
> OpenJDK 64-Bit Server VM (build 25.91-b14, mixed mode)
> Reporter: Pete Robbins
> Assignee: Herman van Hovell
> Priority: Blocker
> Fix For: 2.0.0
>
>
> Executors fail with segmentation violation while running application with
> spark.memory.offHeap.enabled true
> spark.memory.offHeap.size 512m
> Also now reproduced with
> spark.memory.offHeap.enabled false
> {noformat}
> #
> # A fatal error has been detected by the Java Runtime Environment:
> #
> # SIGSEGV (0xb) at pc=0x00007f4559b4d4bd, pid=14182, tid=139935319750400
> #
> # JRE version: OpenJDK Runtime Environment (8.0_91-b14) (build 1.8.0_91-b14)
> # Java VM: OpenJDK 64-Bit Server VM (25.91-b14 mixed mode linux-amd64
> compressed oops)
> # Problematic frame:
> # J 4816 C2
> org.apache.spark.unsafe.types.UTF8String.compareTo(Lorg/apache/spark/unsafe/types/UTF8String;)I
> (64 bytes) @ 0x00007f4559b4d4bd [0x00007f4559b4d460+0x5d]
> {noformat}
> We initially saw this on IBM java on PowerPC box but is recreatable on linux
> with OpenJDK. On linux with IBM Java 8 we see a null pointer exception at the
> same code point:
> {noformat}
> 16/06/08 11:14:58 ERROR Executor: Exception in task 1.0 in stage 5.0 (TID 48)
> java.lang.NullPointerException
> at
> org.apache.spark.unsafe.types.UTF8String.compareTo(UTF8String.java:831)
> at org.apache.spark.unsafe.types.UTF8String.compare(UTF8String.java:844)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.findNextInnerJoinRows$(Unknown
> Source)
> 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$$anonfun$doExecute$2$$anon$2.hasNext(WholeStageCodegenExec.scala:377)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at
> scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:30)
> at org.spark_project.guava.collect.Ordering.leastOf(Ordering.java:664)
> at org.apache.spark.util.collection.Utils$.takeOrdered(Utils.scala:37)
> at
> org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(RDD.scala:1365)
> at
> org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(RDD.scala:1362)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:757)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:757)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1153)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
> at java.lang.Thread.run(Thread.java:785)
> {noformat}
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