Jacek Laskowski created SPARK-20299:
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Summary: NullPointerException when null and string are in a tuple
while encoding Dataset
Key: SPARK-20299
URL: https://issues.apache.org/jira/browse/SPARK-20299
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.0
Reporter: Jacek Laskowski
Priority: Minor
When creating a Dataset from a tuple with {{null}} and a string, NPE is
reported. When either is removed, it works fine.
{code}
scala> Seq((1, null.asInstanceOf[Int]), (2, 1)).toDS
res43: org.apache.spark.sql.Dataset[(Int, Int)] = [_1: int, _2: int]
scala> Seq(("1", null.asInstanceOf[Int]), ("2", 1)).toDS
scala> Seq(("1", null.asInstanceOf[Int]), ("2", 1)).toDS
java.lang.RuntimeException: Error while encoding: java.lang.NullPointerException
staticinvoke(class org.apache.spark.unsafe.types.UTF8String, StringType,
fromString, assertnotnull(assertnotnull(input[0, scala.Tuple2, true], top level
Product input object), - root class: "scala.Tuple2")._1, true) AS _1#474
assertnotnull(assertnotnull(input[0, scala.Tuple2, true], top level Product
input object), - root class: "scala.Tuple2")._2 AS _2#475
at
org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.toRow(ExpressionEncoder.scala:290)
at org.apache.spark.sql.SparkSession$$anonfun$2.apply(SparkSession.scala:454)
at org.apache.spark.sql.SparkSession$$anonfun$2.apply(SparkSession.scala:454)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:285)
at org.apache.spark.sql.SparkSession.createDataset(SparkSession.scala:454)
at org.apache.spark.sql.SQLContext.createDataset(SQLContext.scala:377)
at
org.apache.spark.sql.SQLImplicits.localSeqToDatasetHolder(SQLImplicits.scala:246)
... 48 elided
Caused by: java.lang.NullPointerException
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply_1$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
Source)
at
org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.toRow(ExpressionEncoder.scala:287)
... 58 more
{code}
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