[
https://issues.apache.org/jira/browse/SPARK-15822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15327992#comment-15327992
]
Pete Robbins commented on SPARK-15822:
--------------------------------------
So this does seem to cause the NPE or SEGV intermittently, ie I get some clean
runs. However, I added some tracing to detect when the UnsafeRow looks corrupt
(baseobject = null, offset=massive) and I see these in every run so I suspect
there is always corruption but that doesn't always lead to a visible failure.
The app usually gives the appearance of success as Spark re-submits the lost
tasks and restarts failing executors. Here is what I think is the plan
associated with one of the failing jobs:
== Parsed Logical Plan ==
'Project [unresolvedalias('Origin, None), unresolvedalias('UniqueCarrier,
None), 'round((('count * 100) / 'total), 2) AS rank#927]
+- Project [Origin#16, UniqueCarrier#8, count#888L, total#851L]
+- Join Inner, ((Origin#16 = Origin#909) && (UniqueCarrier#8 =
UniqueCarrier#901))
:- Aggregate [Origin#16, UniqueCarrier#8], [Origin#16, UniqueCarrier#8,
count(1) AS count#888L]
: +- Filter (NOT (Cancelled#21 = 0) && (CancellationCode#22 = A))
: +- Filter (Dest#17 = ORD)
: +-
Relation[Year#0,Month#1,DayofMonth#2,DayOfWeek#3,DepTime#4,CRSDepTime#5,ArrTime#6,CRSArrTime#7,UniqueCarrier#8,FlightNum#9,TailNum#10,ActualElapsedTime#11,CRSElapsedTime#12,AirTime#13,ArrDelay#14,DepDelay#15,Origin#16,Dest#17,Distance#18,TaxiIn#19,TaxiOut#20,Cancelled#21,CancellationCode#22,Diverted#23,CarrierDelay#24,WeatherDelay#25,NASDelay#26,SecurityDelay#27,LateAircraftDelay#28]
csv
+- Project [Origin#909, UniqueCarrier#901, count#846L AS total#851L]
+- Aggregate [Origin#909, UniqueCarrier#901], [Origin#909,
UniqueCarrier#901, count(1) AS count#846L]
+- Filter (Dest#910 = ORD)
+-
Relation[Year#893,Month#894,DayofMonth#895,DayOfWeek#896,DepTime#897,CRSDepTime#898,ArrTime#899,CRSArrTime#900,UniqueCarrier#901,FlightNum#902,TailNum#903,ActualElapsedTime#904,CRSElapsedTime#905,AirTime#906,ArrDelay#907,DepDelay#908,Origin#909,Dest#910,Distance#911,TaxiIn#912,TaxiOut#913,Cancelled#914,CancellationCode#915,Diverted#916,CarrierDelay#917,WeatherDelay#918,NASDelay#919,SecurityDelay#920,LateAircraftDelay#921]
csv
== Analyzed Logical Plan ==
Origin: string, UniqueCarrier: string, rank: double
Project [Origin#16, UniqueCarrier#8, round((cast((count#888L * cast(100 as
bigint)) as double) / cast(total#851L as double)), 2) AS rank#927]
+- Project [Origin#16, UniqueCarrier#8, count#888L, total#851L]
+- Join Inner, ((Origin#16 = Origin#909) && (UniqueCarrier#8 =
UniqueCarrier#901))
:- Aggregate [Origin#16, UniqueCarrier#8], [Origin#16, UniqueCarrier#8,
count(1) AS count#888L]
: +- Filter (NOT (Cancelled#21 = 0) && (CancellationCode#22 = A))
: +- Filter (Dest#17 = ORD)
: +-
Relation[Year#0,Month#1,DayofMonth#2,DayOfWeek#3,DepTime#4,CRSDepTime#5,ArrTime#6,CRSArrTime#7,UniqueCarrier#8,FlightNum#9,TailNum#10,ActualElapsedTime#11,CRSElapsedTime#12,AirTime#13,ArrDelay#14,DepDelay#15,Origin#16,Dest#17,Distance#18,TaxiIn#19,TaxiOut#20,Cancelled#21,CancellationCode#22,Diverted#23,CarrierDelay#24,WeatherDelay#25,NASDelay#26,SecurityDelay#27,LateAircraftDelay#28]
csv
+- Project [Origin#909, UniqueCarrier#901, count#846L AS total#851L]
+- Aggregate [Origin#909, UniqueCarrier#901], [Origin#909,
UniqueCarrier#901, count(1) AS count#846L]
+- Filter (Dest#910 = ORD)
+-
Relation[Year#893,Month#894,DayofMonth#895,DayOfWeek#896,DepTime#897,CRSDepTime#898,ArrTime#899,CRSArrTime#900,UniqueCarrier#901,FlightNum#902,TailNum#903,ActualElapsedTime#904,CRSElapsedTime#905,AirTime#906,ArrDelay#907,DepDelay#908,Origin#909,Dest#910,Distance#911,TaxiIn#912,TaxiOut#913,Cancelled#914,CancellationCode#915,Diverted#916,CarrierDelay#917,WeatherDelay#918,NASDelay#919,SecurityDelay#920,LateAircraftDelay#921]
csv
== Optimized Logical Plan ==
Project [Origin#16, UniqueCarrier#8, round((cast((count#888L * 100) as double)
/ cast(total#851L as double)), 2) AS rank#927]
+- Join Inner, ((Origin#16 = Origin#909) && (UniqueCarrier#8 =
UniqueCarrier#901))
:- Aggregate [Origin#16, UniqueCarrier#8], [Origin#16, UniqueCarrier#8,
count(1) AS count#888L]
: +- Project [UniqueCarrier#8, Origin#16]
: +- Filter (((((isnotnull(UniqueCarrier#8) && isnotnull(Origin#16)) &&
isnotnull(Cancelled#21)) && isnotnull(CancellationCode#22)) && NOT
(Cancelled#21 = 0)) && (CancellationCode#22 = A))
: +- InMemoryRelation [Year#0, Month#1, DayofMonth#2, DayOfWeek#3,
DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7, UniqueCarrier#8, FlightNum#9,
TailNum#10, ActualElapsedTime#11, CRSElapsedTime#12, AirTime#13, ArrDelay#14,
DepDelay#15, Origin#16, Dest#17, Distance#18, TaxiIn#19, TaxiOut#20,
Cancelled#21, CancellationCode#22, Diverted#23, CarrierDelay#24,
WeatherDelay#25, NASDelay#26, SecurityDelay#27, LateAircraftDelay#28], true,
10000, StorageLevel(disk, memory, deserialized, 1 replicas)
: : +- Filter (isnotnull(Dest#17) && (Dest#17 = ORD))
: : +- InMemoryTableScan [Year#0, Month#1, DayofMonth#2,
DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7, UniqueCarrier#8,
FlightNum#9, TailNum#10, ActualElapsedTime#11, CRSElapsedTime#12, AirTime#13,
ArrDelay#14, DepDelay#15, Origin#16, Dest#17, Distance#18, TaxiIn#19,
TaxiOut#20, Cancelled#21, CancellationCode#22, Diverted#23, CarrierDelay#24,
WeatherDelay#25, NASDelay#26, SecurityDelay#27, LateAircraftDelay#28],
[isnotnull(Dest#17), (Dest#17 = ORD)]
: : : +- InMemoryRelation [Year#0, Month#1, DayofMonth#2,
DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7, UniqueCarrier#8,
FlightNum#9, TailNum#10, ActualElapsedTime#11, CRSElapsedTime#12, AirTime#13,
ArrDelay#14, DepDelay#15, Origin#16, Dest#17, Distance#18, TaxiIn#19,
TaxiOut#20, Cancelled#21, CancellationCode#22, Diverted#23, CarrierDelay#24,
WeatherDelay#25, NASDelay#26, SecurityDelay#27, LateAircraftDelay#28], true,
10000, StorageLevel(disk, memory, deserialized, 1 replicas)
: : : : +- Scan csv
[Year#0,Month#1,DayofMonth#2,DayOfWeek#3,DepTime#4,CRSDepTime#5,ArrTime#6,CRSArrTime#7,UniqueCarrier#8,FlightNum#9,TailNum#10,ActualElapsedTime#11,CRSElapsedTime#12,AirTime#13,ArrDelay#14,DepDelay#15,Origin#16,Dest#17,Distance#18,TaxiIn#19,TaxiOut#20,Cancelled#21,CancellationCode#22,Diverted#23,CarrierDelay#24,WeatherDelay#25,NASDelay#26,SecurityDelay#27,LateAircraftDelay#28]
Format: CSV, InputPaths: file:/home/robbins/brandberry/2008.csv,
PushedFilters: [], ReadSchema:
struct<Year:int,Month:int,DayofMonth:int,DayOfWeek:int,DepTime:string,CRSDepTime:int,ArrTime:stri...
+- Aggregate [Origin#909, UniqueCarrier#901], [Origin#909,
UniqueCarrier#901, count(1) AS total#851L]
+- Project [UniqueCarrier#901, Origin#909]
+- Filter (isnotnull(Origin#909) && isnotnull(UniqueCarrier#901))
+- InMemoryRelation [Year#893, Month#894, DayofMonth#895,
DayOfWeek#896, DepTime#897, CRSDepTime#898, ArrTime#899, CRSArrTime#900,
UniqueCarrier#901, FlightNum#902, TailNum#903, ActualElapsedTime#904,
CRSElapsedTime#905, AirTime#906, ArrDelay#907, DepDelay#908, Origin#909,
Dest#910, Distance#911, TaxiIn#912, TaxiOut#913, Cancelled#914,
CancellationCode#915, Diverted#916, CarrierDelay#917, WeatherDelay#918,
NASDelay#919, SecurityDelay#920, LateAircraftDelay#921], true, 10000,
StorageLevel(disk, memory, deserialized, 1 replicas)
: +- Filter (isnotnull(Dest#17) && (Dest#17 = ORD))
: +- InMemoryTableScan [Year#0, Month#1, DayofMonth#2,
DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7, UniqueCarrier#8,
FlightNum#9, TailNum#10, ActualElapsedTime#11, CRSElapsedTime#12, AirTime#13,
ArrDelay#14, DepDelay#15, Origin#16, Dest#17, Distance#18, TaxiIn#19,
TaxiOut#20, Cancelled#21, CancellationCode#22, Diverted#23, CarrierDelay#24,
WeatherDelay#25, NASDelay#26, SecurityDelay#27, LateAircraftDelay#28],
[isnotnull(Dest#17), (Dest#17 = ORD)]
: : +- InMemoryRelation [Year#0, Month#1, DayofMonth#2,
DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7, UniqueCarrier#8,
FlightNum#9, TailNum#10, ActualElapsedTime#11, CRSElapsedTime#12, AirTime#13,
ArrDelay#14, DepDelay#15, Origin#16, Dest#17, Distance#18, TaxiIn#19,
TaxiOut#20, Cancelled#21, CancellationCode#22, Diverted#23, CarrierDelay#24,
WeatherDelay#25, NASDelay#26, SecurityDelay#27, LateAircraftDelay#28], true,
10000, StorageLevel(disk, memory, deserialized, 1 replicas)
: : : +- Scan csv
[Year#0,Month#1,DayofMonth#2,DayOfWeek#3,DepTime#4,CRSDepTime#5,ArrTime#6,CRSArrTime#7,UniqueCarrier#8,FlightNum#9,TailNum#10,ActualElapsedTime#11,CRSElapsedTime#12,AirTime#13,ArrDelay#14,DepDelay#15,Origin#16,Dest#17,Distance#18,TaxiIn#19,TaxiOut#20,Cancelled#21,CancellationCode#22,Diverted#23,CarrierDelay#24,WeatherDelay#25,NASDelay#26,SecurityDelay#27,LateAircraftDelay#28]
Format: CSV, InputPaths: file:/home/robbins/brandberry/2008.csv,
PushedFilters: [], ReadSchema:
struct<Year:int,Month:int,DayofMonth:int,DayOfWeek:int,DepTime:string,CRSDepTime:int,ArrTime:stri...
== Physical Plan ==
Project [Origin#16, UniqueCarrier#8, round((cast((count#888L * 100) as double)
/ cast(total#851L as double)), 2) AS rank#927]
+- BroadcastHashJoin [Origin#16, UniqueCarrier#8], [Origin#909,
UniqueCarrier#901], Inner, BuildRight
:- HashAggregate(key=[Origin#16,UniqueCarrier#8], functions=[count(1)],
output=[Origin#16,UniqueCarrier#8,count#888L])
: +- Exchange hashpartitioning(Origin#16, UniqueCarrier#8, 200)
: +- HashAggregate(key=[Origin#16,UniqueCarrier#8],
functions=[partial_count(1)], output=[Origin#16,UniqueCarrier#8,count#1342L])
: +- Project [UniqueCarrier#8, Origin#16]
: +- Filter (((((isnotnull(UniqueCarrier#8) &&
isnotnull(Origin#16)) && isnotnull(Cancelled#21)) &&
isnotnull(CancellationCode#22)) && NOT (Cancelled#21 = 0)) &&
(CancellationCode#22 = A))
: +- InMemoryTableScan [UniqueCarrier#8, Origin#16,
Cancelled#21, CancellationCode#22], [isnotnull(UniqueCarrier#8),
isnotnull(Origin#16), isnotnull(Cancelled#21), isnotnull(CancellationCode#22),
NOT (Cancelled#21 = 0), (CancellationCode#22 = A)]
: : +- InMemoryRelation [Year#0, Month#1, DayofMonth#2,
DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7, UniqueCarrier#8,
FlightNum#9, TailNum#10, ActualElapsedTime#11, CRSElapsedTime#12, AirTime#13,
ArrDelay#14, DepDelay#15, Origin#16, Dest#17, Distance#18, TaxiIn#19,
TaxiOut#20, Cancelled#21, CancellationCode#22, Diverted#23, CarrierDelay#24,
WeatherDelay#25, NASDelay#26, SecurityDelay#27, LateAircraftDelay#28], true,
10000, StorageLevel(disk, memory, deserialized, 1 replicas)
: : : +- Filter (isnotnull(Dest#17) && (Dest#17 = ORD))
: : : +- InMemoryTableScan [Year#0, Month#1,
DayofMonth#2, DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7,
UniqueCarrier#8, FlightNum#9, TailNum#10, ActualElapsedTime#11,
CRSElapsedTime#12, AirTime#13, ArrDelay#14, DepDelay#15, Origin#16, Dest#17,
Distance#18, TaxiIn#19, TaxiOut#20, Cancelled#21, CancellationCode#22,
Diverted#23, CarrierDelay#24, WeatherDelay#25, NASDelay#26, SecurityDelay#27,
LateAircraftDelay#28], [isnotnull(Dest#17), (Dest#17 = ORD)]
: : : : +- InMemoryRelation [Year#0, Month#1,
DayofMonth#2, DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7,
UniqueCarrier#8, FlightNum#9, TailNum#10, ActualElapsedTime#11,
CRSElapsedTime#12, AirTime#13, ArrDelay#14, DepDelay#15, Origin#16, Dest#17,
Distance#18, TaxiIn#19, TaxiOut#20, Cancelled#21, CancellationCode#22,
Diverted#23, CarrierDelay#24, WeatherDelay#25, NASDelay#26, SecurityDelay#27,
LateAircraftDelay#28], true, 10000, StorageLevel(disk, memory, deserialized, 1
replicas)
: : : : : +- Scan csv
[Year#0,Month#1,DayofMonth#2,DayOfWeek#3,DepTime#4,CRSDepTime#5,ArrTime#6,CRSArrTime#7,UniqueCarrier#8,FlightNum#9,TailNum#10,ActualElapsedTime#11,CRSElapsedTime#12,AirTime#13,ArrDelay#14,DepDelay#15,Origin#16,Dest#17,Distance#18,TaxiIn#19,TaxiOut#20,Cancelled#21,CancellationCode#22,Diverted#23,CarrierDelay#24,WeatherDelay#25,NASDelay#26,SecurityDelay#27,LateAircraftDelay#28]
Format: CSV, InputPaths: file:/home/robbins/brandberry/2008.csv,
PushedFilters: [], ReadSchema:
struct<Year:int,Month:int,DayofMonth:int,DayOfWeek:int,DepTime:string,CRSDepTime:int,ArrTime:stri...
+- BroadcastExchange HashedRelationBroadcastMode(List(input[0, string,
true], input[1, string, true]))
+- HashAggregate(key=[Origin#909,UniqueCarrier#901],
functions=[count(1)], output=[Origin#909,UniqueCarrier#901,total#851L])
+- Exchange hashpartitioning(Origin#909, UniqueCarrier#901, 200)
+- HashAggregate(key=[Origin#909,UniqueCarrier#901],
functions=[partial_count(1)], output=[Origin#909,UniqueCarrier#901,count#1344L])
+- Filter (isnotnull(Origin#909) && isnotnull(UniqueCarrier#901))
+- InMemoryTableScan [UniqueCarrier#901, Origin#909],
[isnotnull(Origin#909), isnotnull(UniqueCarrier#901)]
: +- InMemoryRelation [Year#893, Month#894,
DayofMonth#895, DayOfWeek#896, DepTime#897, CRSDepTime#898, ArrTime#899,
CRSArrTime#900, UniqueCarrier#901, FlightNum#902, TailNum#903,
ActualElapsedTime#904, CRSElapsedTime#905, AirTime#906, ArrDelay#907,
DepDelay#908, Origin#909, Dest#910, Distance#911, TaxiIn#912, TaxiOut#913,
Cancelled#914, CancellationCode#915, Diverted#916, CarrierDelay#917,
WeatherDelay#918, NASDelay#919, SecurityDelay#920, LateAircraftDelay#921],
true, 10000, StorageLevel(disk, memory, deserialized, 1 replicas)
: : +- Filter (isnotnull(Dest#17) && (Dest#17 = ORD))
: : +- InMemoryTableScan [Year#0, Month#1,
DayofMonth#2, DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7,
UniqueCarrier#8, FlightNum#9, TailNum#10, ActualElapsedTime#11,
CRSElapsedTime#12, AirTime#13, ArrDelay#14, DepDelay#15, Origin#16, Dest#17,
Distance#18, TaxiIn#19, TaxiOut#20, Cancelled#21, CancellationCode#22,
Diverted#23, CarrierDelay#24, WeatherDelay#25, NASDelay#26, SecurityDelay#27,
LateAircraftDelay#28], [isnotnull(Dest#17), (Dest#17 = ORD)]
: : : +- InMemoryRelation [Year#0, Month#1,
DayofMonth#2, DayOfWeek#3, DepTime#4, CRSDepTime#5, ArrTime#6, CRSArrTime#7,
UniqueCarrier#8, FlightNum#9, TailNum#10, ActualElapsedTime#11,
CRSElapsedTime#12, AirTime#13, ArrDelay#14, DepDelay#15, Origin#16, Dest#17,
Distance#18, TaxiIn#19, TaxiOut#20, Cancelled#21, CancellationCode#22,
Diverted#23, CarrierDelay#24, WeatherDelay#25, NASDelay#26, SecurityDelay#27,
LateAircraftDelay#28], true, 10000, StorageLevel(disk, memory, deserialized, 1
replicas)
: : : : +- Scan csv
[Year#0,Month#1,DayofMonth#2,DayOfWeek#3,DepTime#4,CRSDepTime#5,ArrTime#6,CRSArrTime#7,UniqueCarrier#8,FlightNum#9,TailNum#10,ActualElapsedTime#11,CRSElapsedTime#12,AirTime#13,ArrDelay#14,DepDelay#15,Origin#16,Dest#17,Distance#18,TaxiIn#19,TaxiOut#20,Cancelled#21,CancellationCode#22,Diverted#23,CarrierDelay#24,WeatherDelay#25,NASDelay#26,SecurityDelay#27,LateAircraftDelay#28]
Format: CSV, InputPaths: file:/home/robbins/brandberry/2008.csv,
PushedFilters: [], ReadSchema:
struct<Year:int,Month:int,DayofMonth:int,DayOfWeek:int,DepTime:string,CRSDepTime:int,ArrTime:stri...
> 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
> 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
>
> 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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