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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