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Posted to issues@spark.apache.org by "Deenar Toraskar (JIRA)" <ji...@apache.org> on 2016/01/13 18:22:39 UTC
[jira] [Created] (SPARK-12809) Spark SQL UDF does not work with
struct input parameters
Deenar Toraskar created SPARK-12809:
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Summary: Spark SQL UDF does not work with struct input parameters
Key: SPARK-12809
URL: https://issues.apache.org/jira/browse/SPARK-12809
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.6.0
Reporter: Deenar Toraskar
Spark SQL UDFs dont work with struct input parameters
def testUDF(expectedExposures: (Float, Float))= {
(expectedExposures._1 * expectedExposures._2 /expectedExposures._1)
}
sqlContext.udf.register("testUDF", testUDF _)
sqlContext.sql("select testUDF(struct(noofmonths,ee)) from netExposureCpty")
The full stacktrace is given below
com.databricks.backend.common.rpc.DatabricksExceptions$SQLExecutionException: org.apache.spark.sql.AnalysisException: cannot resolve 'UDF(struct(noofmonths,ee))' due to data type mismatch: argument 1 requires struct<_1:float,_2:float> type, however, 'struct(noofmonths,ee)' is of struct<noofmonths:float,ee:float> type.; line 1 pos 33
at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:65)
at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:57)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:319)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:319)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:53)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:318)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:316)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:316)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:265)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
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