[
https://issues.apache.org/jira/browse/SPARK-20299?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15969996#comment-15969996
]
Jacek Laskowski commented on SPARK-20299:
-----------------------------------------
It does work for 2.1. It does not for 2.2.0-SNAPSHOT.
Steps to reproduce:
1. Download the nightly build from
http://people.apache.org/~pwendell/spark-nightly/spark-master-bin/latest/ (used
{{spark-2.2.0-SNAPSHOT-bin-hadoop2.7.tgz}} from 2017-04-15 08:16)
{code}
➜ spark-2.2.0-SNAPSHOT-bin-hadoop2.7 ./bin/spark-submit --version
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.2.0-SNAPSHOT
/_/
Using Scala version 2.11.8, Java HotSpot(TM) 64-Bit Server VM, 1.8.0_121
Branch HEAD
Compiled by user jenkins on 2017-04-15T08:05:06Z
Revision fb036c4413c2cd4d90880d080f418ec468d6c0fc
Url https://github.com/apache/spark.git
Type --help for more information.
{code}
2. Execute the following and you'll *surely* see the exception:
{code}
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]))._1,
true) AS _1#0
assertnotnull(assertnotnull(input[0, scala.Tuple2, true]))._2 AS _2#1
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}
> 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
> 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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