nivo091 commented on a change in pull request #23921: SPARK-26560:Repeat select
on HiveUDF fails
URL: https://github.com/apache/spark/pull/23921#discussion_r261553599
##########
File path:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionCatalog.scala
##########
@@ -66,51 +66,58 @@ private[sql] class HiveSessionCatalog(
name: String,
clazz: Class[_],
input: Seq[Expression]): Expression = {
-
- Try(super.makeFunctionExpression(name, clazz, input)).getOrElse {
- var udfExpr: Option[Expression] = None
- try {
- // When we instantiate hive UDF wrapper class, we may throw exception
if the input
- // expressions don't satisfy the hive UDF, such as type mismatch,
input number
- // mismatch, etc. Here we catch the exception and throw
AnalysisException instead.
- if (classOf[UDF].isAssignableFrom(clazz)) {
- udfExpr = Some(HiveSimpleUDF(name, new
HiveFunctionWrapper(clazz.getName), input))
- udfExpr.get.dataType // Force it to check input data types.
- } else if (classOf[GenericUDF].isAssignableFrom(clazz)) {
- udfExpr = Some(HiveGenericUDF(name, new
HiveFunctionWrapper(clazz.getName), input))
- udfExpr.get.dataType // Force it to check input data types.
- } else if
(classOf[AbstractGenericUDAFResolver].isAssignableFrom(clazz)) {
- udfExpr = Some(HiveUDAFFunction(name, new
HiveFunctionWrapper(clazz.getName), input))
- udfExpr.get.dataType // Force it to check input data types.
- } else if (classOf[UDAF].isAssignableFrom(clazz)) {
- udfExpr = Some(HiveUDAFFunction(
- name,
- new HiveFunctionWrapper(clazz.getName),
- input,
- isUDAFBridgeRequired = true))
- udfExpr.get.dataType // Force it to check input data types.
- } else if (classOf[GenericUDTF].isAssignableFrom(clazz)) {
- udfExpr = Some(HiveGenericUDTF(name, new
HiveFunctionWrapper(clazz.getName), input))
- udfExpr.get.asInstanceOf[HiveGenericUDTF].elementSchema // Force it
to check data types.
+ val originalClassLoader = Thread.currentThread().getContextClassLoader()
+ Thread.currentThread().setContextClassLoader(clazz.getClassLoader)
+ try {
+ Try(super.makeFunctionExpression(name, clazz, input)).getOrElse {
+ var udfExpr: Option[Expression] = None
+ try {
Review comment:
we can remove this inside try and put the catch block to the outer try.
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