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[SPARK-30260][SQL] Spark-Shell throw ClassNotFoundException exception for more than one statement to use UDF jar #26888

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[SPARK-30260][SQL] Spark-Shell throw ClassNotFoundException exception for more than one statement to use UDF jar #26888

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9 changes: 9 additions & 0 deletions sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionCatalog.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,7 @@ import org.apache.hadoop.hive.ql.exec.{FunctionRegistry => HiveFunctionRegistry}
import org.apache.hadoop.hive.ql.udf.generic.{AbstractGenericUDAFResolver, GenericUDF, GenericUDTF}

import org.apache.spark.sql.AnalysisException
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.FunctionIdentifier
import org.apache.spark.sql.catalyst.analysis.FunctionRegistry
import org.apache.spark.sql.catalyst.catalog.{CatalogFunction, ExternalCatalog, FunctionResourceLoader, GlobalTempViewManager, SessionCatalog}
Expand Down Expand Up @@ -135,6 +136,14 @@ private[sql] class HiveSessionCatalog(
// If the function actually exists in functionRegistry, it means that there is an
// error when we create the Expression using the given children.
// We need to throw the original exception.

// When we start with spark-shell command and use hive udf , it will lead to
// "No handler for UDF/UDAF/UDTF" for the second or more times because of
// unsuitable classLoader. So before throw error, we reset classloader to active
// sparkSession's jar classloader, then for the next lookupFunction0, it will be ok.
Thread.currentThread().setContextClassLoader(SparkSession.getActiveSession.get.
asInstanceOf[SparkSession].sharedState.jarClassLoader)

throw error
} else {
// This function is not in functionRegistry, let's try to load it as a Hive's
Expand Down