gengliangwang commented on a change in pull request #34747:
URL: https://github.com/apache/spark/pull/34747#discussion_r758907096
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
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@@ -198,21 +205,39 @@ class Analyzer(override val catalogManager:
CatalogManager)
}
def executeAndCheck(plan: LogicalPlan, tracker: QueryPlanningTracker):
LogicalPlan = {
- if (plan.analyzed) return plan
AnalysisHelper.markInAnalyzer {
val analyzed = executeAndTrack(plan, tracker)
try {
checkAnalysis(analyzed)
analyzed
} catch {
case e: AnalysisException =>
- val ae = e.copy(plan = Option(analyzed))
+ val ae = e.copy(plan = Option(analyzed),
+ message = e.message + extraHintForAnsiTypeCoercion(plan))
ae.setStackTrace(e.getStackTrace)
throw ae
}
}
}
+ private def extraHintForAnsiTypeCoercion(plan: LogicalPlan): String = {
+ if (!conf.ansiEnabled) {
+ ""
+ } else {
+ val nonAnsiPlan = AnalysisContext.withDefaultTypeCoercionAnalysisContext
{
+ executeSameContext(plan)
Review comment:
It won't be a perf issue. When the code reaches here, the query already
fails.
But from user experience, I am thinking about just adding `To fix the error,
you might need to add explicit type casts.` and don't show the hint `set
spark.sql.ansi.enabled to false`
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