koert kuipers created SPARK-15062:
-------------------------------------
Summary: Show on DataFrame causes OutOfMemoryError,
NegativeArraySizeException or segfault
Key: SPARK-15062
URL: https://issues.apache.org/jira/browse/SPARK-15062
Project: Spark
Issue Type: Bug
Components: SQL
Environment: spark-2.0.0-SNAPSHOT using commit hash
90787de864b58a1079c23e6581381ca8ffe7685f and Java 1.7.0_67
Reporter: koert kuipers
Priority: Critical
{noformat}
scala> val dfComplicated = sc.parallelize(List((Map("1" -> "a"), List("b",
"c")), (Map("2" -> "b"), List("d", "e")))).toDF
...
dfComplicated: org.apache.spark.sql.DataFrame = [_1: map<string,string>, _2:
array<string>]
scala> dfComplicated.show
java.lang.OutOfMemoryError: Java heap space
at org.apache.spark.unsafe.types.UTF8String.getBytes(UTF8String.java:229)
at org.apache.spark.unsafe.types.UTF8String.toString(UTF8String.java:821)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificSafeProjection.apply(Unknown
Source)
at
org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.fromRow(ExpressionEncoder.scala:241)
at
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1$$anonfun$apply$13.apply(Dataset.scala:2121)
at
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1$$anonfun$apply$13.apply(Dataset.scala:2121)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
at
org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2121)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:54)
at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2408)
at
org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2120)
at
org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2127)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1861)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1860)
at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2438)
at org.apache.spark.sql.Dataset.head(Dataset.scala:1860)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2077)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:238)
at org.apache.spark.sql.Dataset.show(Dataset.scala:529)
at org.apache.spark.sql.Dataset.show(Dataset.scala:489)
at org.apache.spark.sql.Dataset.show(Dataset.scala:498)
... 6 elided
scala>
{noformat}
By increasing memory to 8G one will instead get a NegativeArraySizeException or
a segfault.
See here for original discussion:
http://apache-spark-developers-list.1001551.n3.nabble.com/spark-2-segfault-td17381.html
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