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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/07/29 18:58:20 UTC
[jira] [Updated] (SPARK-16791) casting structs fails on Timestamp
fields (interpreted mode only)
[ https://issues.apache.org/jira/browse/SPARK-16791?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin updated SPARK-16791:
--------------------------------
Labels: (was: cast expressions sql)
> casting structs fails on Timestamp fields (interpreted mode only)
> -----------------------------------------------------------------
>
> Key: SPARK-16791
> URL: https://issues.apache.org/jira/browse/SPARK-16791
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1, 2.0.0
> Reporter: Eyal Farago
> Priority: Minor
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> When casting a struct with a Timestamp field, a MatchError is thrown (pasted below).
> the root cause for this is in org.apache.spark.sql.catalyst.expressions.Cast#cast (https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala#L419).
> case dt if dt == child.dataType => identity[Any]
> should be modified to:
> case dt if dt == from => identity[Any]
> it seems to explode for timestamp because org.apache.spark.sql.catalyst.expressions.Cast#castToTimestamp does'nt have an identity check or fallback case in its pattern matching.
> I'll shortly open a pull request with a failing test case and a fix.
> Caused by: scala.MatchError: TimestampType (of class org.apache.spark.sql.types.TimestampType$)
> at org.apache.spark.sql.catalyst.expressions.Cast.castToTimestamp(Cast.scala:185)
> at org.apache.spark.sql.catalyst.expressions.Cast.org$apache$spark$sql$catalyst$expressions$Cast$$cast(Cast.scala:424)
> at org.apache.spark.sql.catalyst.expressions.Cast$$anonfun$1.apply(Cast.scala:403)
> at org.apache.spark.sql.catalyst.expressions.Cast$$anonfun$1.apply(Cast.scala:402)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:186)
> at org.apache.spark.sql.catalyst.expressions.Cast.castStruct(Cast.scala:402)
> at org.apache.spark.sql.catalyst.expressions.Cast.org$apache$spark$sql$catalyst$expressions$Cast$$cast(Cast.scala:435)
> at org.apache.spark.sql.catalyst.expressions.Cast.cast$lzycompute(Cast.scala:443)
> at org.apache.spark.sql.catalyst.expressions.Cast.cast(Cast.scala:443)
> at org.apache.spark.sql.catalyst.expressions.Cast.nullSafeEval(Cast.scala:445)
> at org.apache.spark.sql.catalyst.expressions.UnaryExpression.eval(Expression.scala:324)
> at org.apache.spark.sql.catalyst.expressions.ExpressionEvalHelper$class.evaluate(ExpressionEvalHelper.scala:80)
> at org.apache.spark.sql.catalyst.expressions.CastSuite.evaluate(CastSuite.scala:33)
> ... 58 more
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