Re: key not found: sportingpulse.com in Spark SQL 1.5.0

2015-10-31 Thread Michael Armbrust 
This is a bug in DataFrame caching.  You can avoid caching or turn off
compression.  It is fixed in Spark 1.5.1

On Sat, Oct 31, 2015 at 2:31 AM, Silvio Fiorito <
silvio.fior...@granturing.com> wrote:

> I don’t believe I have it on 1.5.1. Are you able to test the data locally
> to confirm, or is it too large?
>
> From: "Zhang, Jingyu" <jingyu.zh...@news.com.au>
> Date: Friday, October 30, 2015 at 7:31 PM
> To: Silvio Fiorito <silvio.fior...@granturing.com>
> Cc: Ted Yu <yuzhih...@gmail.com>, user <user@spark.apache.org>
>
> Subject: Re: key not found: sportingpulse.com in Spark SQL 1.5.0
>
> Thanks Silvio and Ted,
>
> Can you please let me know how to fix this intermittent issues? Should I
> wait EMR upgrading to support the Spark 1.5.1 or change my code from
> DataFrame to normal Spark map-reduce?
>
> Regards,
>
> Jingyu
>
> On 31 October 2015 at 09:40, Silvio Fiorito <silvio.fior...@granturing.com
> > wrote:
>
>> It's something due to the columnar compression. I've seen similar
>> intermittent issues when caching DataFrames. "sportingpulse.com" is a
>> value in one of the columns of the DF.
>> --
>> From: Ted Yu <yuzhih...@gmail.com>
>> Sent: ‎10/‎30/‎2015 6:33 PM
>> To: Zhang, Jingyu <jingyu.zh...@news.com.au>
>> Cc: user <user@spark.apache.org>
>> Subject: Re: key not found: sportingpulse.com in Spark SQL 1.5.0
>>
>> I searched for sportingpulse in *.scala and *.java files under 1.5
>> branch.
>> There was no hit.
>>
>> mvn dependency doesn't show sportingpulse either.
>>
>> Is it possible this is specific to EMR ?
>>
>> Cheers
>>
>> On Fri, Oct 30, 2015 at 2:57 PM, Zhang, Jingyu <jingyu.zh...@news.com.au>
>> wrote:
>>
>>> There is not a problem in Spark SQL 1.5.1 but the error of "key not
>>> found: sportingpulse.com" shown up when I use 1.5.0.
>>>
>>> I have to use the version of 1.5.0 because that the one AWS EMR
>>> support.  Can anyone tell me why Spark uses "sportingpulse.com" and how
>>> to fix it?
>>>
>>> Thanks.
>>>
>>> Caused by: java.util.NoSuchElementException: key not found:
>>> sportingpulse.com
>>>
>>> at scala.collection.MapLike$class.default(MapLike.scala:228)
>>>
>>> at scala.collection.AbstractMap.default(Map.scala:58)
>>>
>>> at scala.collection.mutable.HashMap.apply(HashMap.scala:64)
>>>
>>> at
>>> org.apache.spark.sql.columnar.compression.DictionaryEncoding$Encoder.compress(
>>> compressionSchemes.scala:258)
>>>
>>> at
>>> org.apache.spark.sql.columnar.compression.CompressibleColumnBuilder$class.build(
>>> CompressibleColumnBuilder.scala:110)
>>>
>>> at org.apache.spark.sql.columnar.NativeColumnBuilder.build(
>>> ColumnBuilder.scala:87)
>>>
>>> at
>>> org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(
>>> InMemoryColumnarTableScan.scala:152)
>>>
>>> at
>>> org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(
>>> InMemoryColumnarTableScan.scala:152)
>>>
>>> at scala.collection.TraversableLike$$anonfun$map$1.apply(
>>> TraversableLike.scala:244)
>>>
>>> at scala.collection.TraversableLike$$anonfun$map$1.apply(
>>> TraversableLike.scala:244)
>>>
>>> at scala.collection.IndexedSeqOptimized$class.foreach(
>>> IndexedSeqOptimized.scala:33)
>>>
>>> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
>>>
>>> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
>>>
>>> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
>>>
>>> at
>>> org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(
>>> InMemoryColumnarTableScan.scala:152)
>>>
>>> at
>>> org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(
>>> InMemoryColumnarTableScan.scala:120)
>>>
>>> at org.apache.spark.storage.MemoryStore.unrollSafely(
>>> MemoryStore.scala:278)
>>>
>>> at org.apache.spark.CacheManager.putInBlockManager(
>>> CacheManager.scala:171)
>>>
>>> at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
>>>
>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:2

RE: key not found: sportingpulse.com in Spark SQL 1.5.0

2015-10-30 Thread Silvio Fiorito 
It's something due to the columnar compression. I've seen similar intermittent 
issues when caching DataFrames. "sportingpulse.com" is a value in one of the 
columns of the DF.

From: Ted Yu<mailto:yuzhih...@gmail.com>
Sent: ‎10/‎30/‎2015 6:33 PM
To: Zhang, Jingyu<mailto:jingyu.zh...@news.com.au>
Cc: user<mailto:user@spark.apache.org>
Subject: Re: key not found: sportingpulse.com in Spark SQL 1.5.0

I searched for sportingpulse in *.scala and *.java files under 1.5 branch.
There was no hit.

mvn dependency doesn't show sportingpulse either.

Is it possible this is specific to EMR ?

Cheers

On Fri, Oct 30, 2015 at 2:57 PM, Zhang, Jingyu 
<jingyu.zh...@news.com.au<mailto:jingyu.zh...@news.com.au>> wrote:

There is not a problem in Spark SQL 1.5.1 but the error of "key not found: 
sportingpulse.com<http://sportingpulse.com/>" shown up when I use 1.5.0.

I have to use the version of 1.5.0 because that the one AWS EMR support.  Can 
anyone tell me why Spark uses "sportingpulse.com<http://sportingpulse.com/>" 
and how to fix it?

Thanks.

Caused by: java.util.NoSuchElementException: key not found: 
sportingpulse.com<http://sportingpulse.com>

at scala.collection.MapLike$class.default(MapLike.scala:228)

at scala.collection.AbstractMap.default(Map.scala:58)

at scala.collection.mutable.HashMap.apply(HashMap.scala:64)

at 
org.apache.spark.sql.columnar.compression.DictionaryEncoding$Encoder.compress(compressionSchemes.scala:258)

at 
org.apache.spark.sql.columnar.compression.CompressibleColumnBuilder$class.build(CompressibleColumnBuilder.scala:110)

at 
org.apache.spark.sql.columnar.NativeColumnBuilder.build(ColumnBuilder.scala:87)

at 
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(InMemoryColumnarTableScan.scala:152)

at 
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(InMemoryColumnarTableScan.scala:152)

at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)

at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)

at 
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)

at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)

at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)

at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)

at 
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(InMemoryColumnarTableScan.scala:152)

at 
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(InMemoryColumnarTableScan.scala:120)

at org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:278)

at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171)

at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:262)

at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at 
org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)

at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)

at org.apache.spark.scheduler.Task.run(Task.scala:88)

at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)

at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

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Re: key not found: sportingpulse.com in Spark SQL 1.5.0

2015-10-30 Thread Zhang, Jingyu 
Thanks Silvio and Ted,

Can you please let me know how to fix this intermittent issues? Should I
wait EMR upgrading to support the Spark 1.5.1 or change my code from
DataFrame to normal Spark map-reduce?

Regards,

Jingyu

On 31 October 2015 at 09:40, Silvio Fiorito <silvio.fior...@granturing.com>
wrote:

> It's something due to the columnar compression. I've seen similar
> intermittent issues when caching DataFrames. "sportingpulse.com" is a
> value in one of the columns of the DF.
> --
> From: Ted Yu <yuzhih...@gmail.com>
> Sent: ‎10/‎30/‎2015 6:33 PM
> To: Zhang, Jingyu <jingyu.zh...@news.com.au>
> Cc: user <user@spark.apache.org>
> Subject: Re: key not found: sportingpulse.com in Spark SQL 1.5.0
>
> I searched for sportingpulse in *.scala and *.java files under 1.5 branch.
> There was no hit.
>
> mvn dependency doesn't show sportingpulse either.
>
> Is it possible this is specific to EMR ?
>
> Cheers
>
> On Fri, Oct 30, 2015 at 2:57 PM, Zhang, Jingyu <jingyu.zh...@news.com.au>
> wrote:
>
>> There is not a problem in Spark SQL 1.5.1 but the error of "key not
>> found: sportingpulse.com" shown up when I use 1.5.0.
>>
>> I have to use the version of 1.5.0 because that the one AWS EMR support.
>> Can anyone tell me why Spark uses "sportingpulse.com" and how to fix it?
>>
>> Thanks.
>>
>> Caused by: java.util.NoSuchElementException: key not found:
>> sportingpulse.com
>>
>> at scala.collection.MapLike$class.default(MapLike.scala:228)
>>
>> at scala.collection.AbstractMap.default(Map.scala:58)
>>
>> at scala.collection.mutable.HashMap.apply(HashMap.scala:64)
>>
>> at
>> org.apache.spark.sql.columnar.compression.DictionaryEncoding$Encoder.compress(
>> compressionSchemes.scala:258)
>>
>> at
>> org.apache.spark.sql.columnar.compression.CompressibleColumnBuilder$class.build(
>> CompressibleColumnBuilder.scala:110)
>>
>> at org.apache.spark.sql.columnar.NativeColumnBuilder.build(
>> ColumnBuilder.scala:87)
>>
>> at
>> org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(
>> InMemoryColumnarTableScan.scala:152)
>>
>> at
>> org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(
>> InMemoryColumnarTableScan.scala:152)
>>
>> at scala.collection.TraversableLike$$anonfun$map$1.apply(
>> TraversableLike.scala:244)
>>
>> at scala.collection.TraversableLike$$anonfun$map$1.apply(
>> TraversableLike.scala:244)
>>
>> at scala.collection.IndexedSeqOptimized$class.foreach(
>> IndexedSeqOptimized.scala:33)
>>
>> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
>>
>> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
>>
>> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
>>
>> at org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(
>> InMemoryColumnarTableScan.scala:152)
>>
>> at org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(
>> InMemoryColumnarTableScan.scala:120)
>>
>> at org.apache.spark.storage.MemoryStore.unrollSafely(
>> MemoryStore.scala:278)
>>
>> at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171
>> )
>>
>> at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
>>
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:262)
>>
>> at org.apache.spark.rdd.MapPartitionsRDD.compute(
>> MapPartitionsRDD.scala:38)
>>
>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>>
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>>
>> at org.apache.spark.rdd.MapPartitionsRDD.compute(
>> MapPartitionsRDD.scala:38)
>>
>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>>
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>>
>> at org.apache.spark.rdd.MapPartitionsRDD.compute(
>> MapPartitionsRDD.scala:38)
>>
>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>>
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>>
>> at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(
>> MapPartitionsWithPreparationRDD.scala:63)
>>
>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>>
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>>
>> at org.apache.spark.rdd.MapPartitionsRDD.compute(
>> MapPartitionsRDD.sca

Re: key not found: sportingpulse.com in Spark SQL 1.5.0

2015-10-30 Thread Silvio Fiorito 
I don’t believe I have it on 1.5.1. Are you able to test the data locally to 
confirm, or is it too large?

From: "Zhang, Jingyu" 
<jingyu.zh...@news.com.au<mailto:jingyu.zh...@news.com.au>>
Date: Friday, October 30, 2015 at 7:31 PM
To: Silvio Fiorito 
<silvio.fior...@granturing.com<mailto:silvio.fior...@granturing.com>>
Cc: Ted Yu <yuzhih...@gmail.com<mailto:yuzhih...@gmail.com>>, user 
<user@spark.apache.org<mailto:user@spark.apache.org>>
Subject: Re: key not found: sportingpulse.com in Spark SQL 1.5.0

Thanks Silvio and Ted,

Can you please let me know how to fix this intermittent issues? Should I wait 
EMR upgrading to support the Spark 1.5.1 or change my code from DataFrame to 
normal Spark map-reduce?

Regards,

Jingyu

On 31 October 2015 at 09:40, Silvio Fiorito 
<silvio.fior...@granturing.com<mailto:silvio.fior...@granturing.com>> wrote:
It's something due to the columnar compression. I've seen similar intermittent 
issues when caching DataFrames. "sportingpulse.com<http://sportingpulse.com>" 
is a value in one of the columns of the DF.

From: Ted Yu<mailto:yuzhih...@gmail.com>
Sent: ‎10/‎30/‎2015 6:33 PM
To: Zhang, Jingyu<mailto:jingyu.zh...@news.com.au>
Cc: user<mailto:user@spark.apache.org>
Subject: Re: key not found: sportingpulse.com<http://sportingpulse.com> in 
Spark SQL 1.5.0

I searched for sportingpulse in *.scala and *.java files under 1.5 branch.
There was no hit.

mvn dependency doesn't show sportingpulse either.

Is it possible this is specific to EMR ?

Cheers

On Fri, Oct 30, 2015 at 2:57 PM, Zhang, Jingyu 
<jingyu.zh...@news.com.au<mailto:jingyu.zh...@news.com.au>> wrote:

There is not a problem in Spark SQL 1.5.1 but the error of "key not found: 
sportingpulse.com<http://sportingpulse.com/>" shown up when I use 1.5.0.

I have to use the version of 1.5.0 because that the one AWS EMR support.  Can 
anyone tell me why Spark uses "sportingpulse.com<http://sportingpulse.com/>" 
and how to fix it?

Thanks.

Caused by: java.util.NoSuchElementException: key not found: 
sportingpulse.com<http://sportingpulse.com>

at scala.collection.MapLike$class.default(MapLike.scala:228)

at scala.collection.AbstractMap.default(Map.scala:58)

at scala.collection.mutable.HashMap.apply(HashMap.scala:64)

at 
org.apache.spark.sql.columnar.compression.DictionaryEncoding$Encoder.compress(compressionSchemes.scala:258)

at 
org.apache.spark.sql.columnar.compression.CompressibleColumnBuilder$class.build(CompressibleColumnBuilder.scala:110)

at 
org.apache.spark.sql.columnar.NativeColumnBuilder.build(ColumnBuilder.scala:87)

at 
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(InMemoryColumnarTableScan.scala:152)

at 
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(InMemoryColumnarTableScan.scala:152)

at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)

at 
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)

at 
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)

at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)

at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)

at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)

at 
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(InMemoryColumnarTableScan.scala:152)

at 
org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(InMemoryColumnarTableScan.scala:120)

at org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:278)

at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171)

at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:262)

at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at 
org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:63)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)

at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)

at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)

at org.apache.spark.rdd.

Re: key not found: sportingpulse.com in Spark SQL 1.5.0

2015-10-30 Thread Ted Yu 
I searched for sportingpulse in *.scala and *.java files under 1.5 branch.
There was no hit.

mvn dependency doesn't show sportingpulse either.

Is it possible this is specific to EMR ?

Cheers

On Fri, Oct 30, 2015 at 2:57 PM, Zhang, Jingyu 
wrote:

> There is not a problem in Spark SQL 1.5.1 but the error of "key not found:
> sportingpulse.com" shown up when I use 1.5.0.
>
> I have to use the version of 1.5.0 because that the one AWS EMR support.
> Can anyone tell me why Spark uses "sportingpulse.com" and how to fix it?
>
> Thanks.
>
> Caused by: java.util.NoSuchElementException: key not found:
> sportingpulse.com
>
> at scala.collection.MapLike$class.default(MapLike.scala:228)
>
> at scala.collection.AbstractMap.default(Map.scala:58)
>
> at scala.collection.mutable.HashMap.apply(HashMap.scala:64)
>
> at
> org.apache.spark.sql.columnar.compression.DictionaryEncoding$Encoder.compress(
> compressionSchemes.scala:258)
>
> at
> org.apache.spark.sql.columnar.compression.CompressibleColumnBuilder$class.build(
> CompressibleColumnBuilder.scala:110)
>
> at org.apache.spark.sql.columnar.NativeColumnBuilder.build(
> ColumnBuilder.scala:87)
>
> at
> org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(
> InMemoryColumnarTableScan.scala:152)
>
> at
> org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1$$anonfun$next$2.apply(
> InMemoryColumnarTableScan.scala:152)
>
> at scala.collection.TraversableLike$$anonfun$map$1.apply(
> TraversableLike.scala:244)
>
> at scala.collection.TraversableLike$$anonfun$map$1.apply(
> TraversableLike.scala:244)
>
> at scala.collection.IndexedSeqOptimized$class.foreach(
> IndexedSeqOptimized.scala:33)
>
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
>
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
>
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
>
> at org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(
> InMemoryColumnarTableScan.scala:152)
>
> at org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.next(
> InMemoryColumnarTableScan.scala:120)
>
> at org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:278
> )
>
> at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171)
>
> at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
>
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:262)
>
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38
> )
>
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38
> )
>
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38
> )
>
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>
> at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(
> MapPartitionsWithPreparationRDD.scala:63)
>
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38
> )
>
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
>
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(
> ShuffleMapTask.scala:73)
>
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(
> ShuffleMapTask.scala:41)
>
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
>
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
>
> at java.util.concurrent.ThreadPoolExecutor.runWorker(
> ThreadPoolExecutor.java:1142)
>
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(
> ThreadPoolExecutor.java:617)
>
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