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https://issues.apache.org/jira/browse/SPARK-26984?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-26984.
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Resolution: Not A Problem
I agree, I don't think "Some(null)" is reasonable. You mean None, right?
> Incompatibility between Spark releases - Some(null)
> ----------------------------------------------------
>
> Key: SPARK-26984
> URL: https://issues.apache.org/jira/browse/SPARK-26984
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.4.0
> Environment: Linux CentOS, Databricks.
> Reporter: Gerard Alexander
> Priority: Minor
> Labels: newbie
>
> Please refer to
> [https://stackoverflow.com/questions/54851205/why-does-somenull-throw-nullpointerexception-in-spark-2-4-but-worked-in-2-2/54861152#54861152.]
> NB: Not sure of priority being correct - no doubt one will evaluate.
> It is noted that the following:
> {code}
> val df = Seq(
> (1, Some("a"), Some(1)),
> (2, Some(null), Some(2)),
> (3, Some("c"), Some(3)),
> (4, None, None)).toDF("c1", "c2", "c3")}
> {code}
> In Spark 2.2.1 (on mapr) the {{Some(null)}} works fine, in Spark 2.4.0 on
> Databricks an error ensues.
> {code}
> java.lang.RuntimeException: Error while encoding:
> java.lang.NullPointerException assertnotnull(assertnotnull(input[0,
> scala.Tuple3, true]))._1 AS _1#6 staticinvoke(class
> org.apache.spark.unsafe.types.UTF8String, StringType, fromString,
> unwrapoption(ObjectType(class java.lang.String),
> assertnotnull(assertnotnull(input[0, scala.Tuple3, true]))._2), true, false)
> AS _2#7 unwrapoption(IntegerType, assertnotnull(assertnotnull(input[0,
> scala.Tuple3, true]))._3) AS _3#8 at
> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.toRow(ExpressionEncoder.scala:293)
> at
> org.apache.spark.sql.SparkSession.$anonfun$createDataset$1(SparkSession.scala:472)
> at
> scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:233) at
> scala.collection.immutable.List.foreach(List.scala:388) at
> scala.collection.TraversableLike.map(TraversableLike.scala:233) at
> scala.collection.TraversableLike.map$(TraversableLike.scala:226) at
> scala.collection.immutable.List.map(List.scala:294) at
> org.apache.spark.sql.SparkSession.createDataset(SparkSession.scala:472) at
> org.apache.spark.sql.SQLContext.createDataset(SQLContext.scala:377) at
> org.apache.spark.sql.SQLImplicits.localSeqToDatasetHolder(SQLImplicits.scala:228)
> ... 57 elided Caused by: java.lang.NullPointerException at
> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeWriter.write(UnsafeWriter.java:109)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source) at
> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.toRow(ExpressionEncoder.scala:289)
> ... 66 more
> {code}
> You can argue it is solvable otherwise, but there may well be an existing
> code base that could be affected.
>
>
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