cloud-fan commented on code in PR #47403:
URL: https://github.com/apache/spark/pull/47403#discussion_r1689275665
##########
sql/core/src/main/scala/org/apache/spark/sql/scripting/SqlScriptingInterpreter.scala:
##########
@@ -73,11 +74,19 @@ case class SqlScriptingInterpreter() {
.map(new SingleStatementExec(_, Origin(), isInternal = true))
.reverse
new CompoundBodyExec(
- body.collection.map(st => transformTreeIntoExecutable(st)) ++
dropVariables)
+ body.collection.map(st => transformTreeIntoExecutable(st)) ++
dropVariables, session)
case sparkStatement: SingleStatement =>
new SingleStatementExec(
sparkStatement.parsedPlan,
sparkStatement.origin,
- isInternal = false)
+ shouldCollectResult = true)
}
+
+ def execute(compoundBody: CompoundBody): Iterator[Array[Row]] = {
Review Comment:
I'm OK with a simple implementation (collect all the result rows) as a
beginning, but we should build the basic framework with proper abstraction,
otherwise I don't know how to review it. The idea of `handlers` makes sense.
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