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[SPARK-5868][SQL] Fix python UDFs in HiveContext and checks in SQLContext #4657

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[SPARK-5868][SQL] Fix python UDFs in HiveContext and checks in SQLContext #4657

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3 changes: 2 additions & 1 deletion sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -113,6 +113,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
protected[sql] lazy val analyzer: Analyzer =
new Analyzer(catalog, functionRegistry, caseSensitive = true) {
override val extendedResolutionRules =
ExtractPythonUdfs ::
sources.PreWriteCheck(catalog) ::
sources.PreInsertCastAndRename ::
Nil
Expand Down Expand Up @@ -1059,7 +1060,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
@DeveloperApi
protected[sql] class QueryExecution(val logical: LogicalPlan) {

lazy val analyzed: LogicalPlan = ExtractPythonUdfs(analyzer(logical))
lazy val analyzed: LogicalPlan = analyzer(logical)
lazy val withCachedData: LogicalPlan = cacheManager.useCachedData(analyzed)
lazy val optimizedPlan: LogicalPlan = optimizer(withCachedData)

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3 changes: 3 additions & 0 deletions sql/core/src/main/scala/org/apache/spark/sql/execution/pythonUdfs.scala
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Expand Up @@ -205,6 +205,9 @@ case class EvaluatePython(
extends logical.UnaryNode {

def output = child.output :+ resultAttribute

// References should not include the produced attribute.
override def references = udf.references
}

/**
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