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https://issues.apache.org/jira/browse/SPARK-21473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-21473:
------------------------------
Priority: Minor (was: Major)
Issue Type: Improvement (was: Bug)
> Running Transform on a bean which has only setters gives NullPointerExcpetion
> -----------------------------------------------------------------------------
>
> Key: SPARK-21473
> URL: https://issues.apache.org/jira/browse/SPARK-21473
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.1.0
> Reporter: Aseem Bansal
> Priority: Minor
>
> If I run the following using the Java API
> {code:java}
> dataset.map(Transformer::transform,
> Encoders.bean(BeanWithOnlySettersAndNoGetters.class));
> {code}
> Then I get the below exception. I understand that it is not bean-compliant
> without the getters but the exception is wrong. Perhaps fixing the exception
> message would be a solution?
> {noformat}
> Caused by: java.lang.NullPointerException
> at org.spark_project.guava.reflect.TypeToken.method(TypeToken.java:465)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$$anonfun$2.apply(JavaTypeInference.scala:126)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$$anonfun$2.apply(JavaTypeInference.scala:125)
> 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$ofRef.map(ArrayOps.scala:186)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$.org$apache$spark$sql$catalyst$JavaTypeInference$$inferDataType(JavaTypeInference.scala:125)
> at
> org.apache.spark.sql.catalyst.JavaTypeInference$.inferDataType(JavaTypeInference.scala:55)
> at
> org.apache.spark.sql.catalyst.encoders.ExpressionEncoder$.javaBean(ExpressionEncoder.scala:89)
> at org.apache.spark.sql.Encoders$.bean(Encoders.scala:142)
> at org.apache.spark.sql.Encoders.bean(Encoders.scala)
> {noformat}
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