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From Silvio Fiorito <silvio.fior...@granturing.com>
Subject Re: key not found: sportingpulse.com in Spark SQL 1.5.0
Date Sat, 31 Oct 2015 01:31:01 GMT
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.zhang@news.com.au<mailto:jingyu.zhang@news.com.au>>
Date: Friday, October 30, 2015 at 7:31 PM
To: Silvio Fiorito <silvio.fiorito@granturing.com<mailto:silvio.fiorito@granturing.com>>
Cc: Ted Yu <yuzhihong@gmail.com<mailto:yuzhihong@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.fiorito@granturing.com<mailto:silvio.fiorito@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:yuzhihong@gmail.com>
Sent: ‎10/‎30/‎2015 6:33 PM
To: Zhang, Jingyu<mailto:jingyu.zhang@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.zhang@news.com.au<mailto:jingyu.zhang@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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This message and its attachments may contain legally privileged or confidential information.
It is intended solely for the named addressee. If you are not the addressee indicated in this
message or responsible for delivery of the message to the addressee, you may not copy or deliver
this message or its attachments to anyone. Rather, you should permanently delete this message
and its attachments and kindly notify the sender by reply e-mail. Any content of this message
and its attachments which does not relate to the official business of the sending company
must be taken not to have been sent or endorsed by that company or any of its related entities.
No warranty is made that the e-mail or attachments are free from computer virus or other defect.
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