d7eac9d795
## What changes were proposed in this pull request? ``` Seq(("id1", "value1")).toDF("key", "value").registerTempTable("src") sqlContext.sql("SELECT t1.* FROM src LATERAL VIEW explode(map('key1', 100, 'key2', 200)) t1 AS key, value") ``` Results in following logical plan ``` Project [key#2,value#3] +- Generate explode(HiveGenericUDF#org.apache.hadoop.hive.ql.udf.generic.GenericUDFMap(key1,100,key2,200)), true, false, Some(genoutput), [key#2,value#3] +- SubqueryAlias src +- Project [_1#0 AS key#2,_2#1 AS value#3] +- LocalRelation [_1#0,_2#1], [[id1,value1]] ``` The above query fails with following runtime error. ``` java.lang.ClassCastException: java.lang.Integer cannot be cast to org.apache.spark.unsafe.types.UTF8String at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getUTF8String(rows.scala:46) at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getUTF8String(rows.scala:221) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(generated.java:42) at org.apache.spark.sql.execution.Generate$$anonfun$doExecute$1$$anonfun$apply$9.apply(Generate.scala:98) at org.apache.spark.sql.execution.Generate$$anonfun$doExecute$1$$anonfun$apply$9.apply(Generate.scala:96) at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) at scala.collection.Iterator$$anon$11.next(Iterator.scala:370) at scala.collection.Iterator$class.foreach(Iterator.scala:742) at scala.collection.AbstractIterator.foreach(Iterator.scala:1194) <stack-trace omitted.....> ``` In this case the generated outputs are wrongly resolved from its child (LocalRelation) due to https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala#L537-L548 ## How was this patch tested? (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) Added unit tests in hive/SQLQuerySuite and AnalysisSuite Author: Dilip Biswal <dbiswal@us.ibm.com> Closes #11497 from dilipbiswal/spark-13651. |
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