Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/20521#discussion_r166517178
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
---
@@ -493,9 +510,23 @@ case class DataSource(
dataSource.createRelation(
sparkSession.sqlContext, mode, caseInsensitiveOptions,
Dataset.ofRows(sparkSession, data))
case format: FileFormat =>
-
sparkSession.sessionState.executePlan(planForWritingFileFormat(format, mode,
data)).toRdd
+ val cmd = planForWritingFileFormat(format, mode, data)
+ val resolvedPartCols = cmd.partitionColumns.map { col =>
+ // The partition columns created in `planForWritingFileFormat`
should always be
+ // `UnresolvedAttribute` with a single name part.
+ assert(col.isInstanceOf[UnresolvedAttribute])
+ val unresolved = col.asInstanceOf[UnresolvedAttribute]
+ assert(unresolved.nameParts.length == 1)
+ val name = unresolved.nameParts.head
+ outputColumns.find(a => equality(a.name, name)).getOrElse {
+ throw new AnalysisException(
+ s"Unable to resolve $name given
[${data.output.map(_.name).mkString(", ")}]")
+ }
+ }
+ val resolved = cmd.copy(partitionColumns = resolvedPartCols,
outputColumns = outputColumns)
--- End diff --
Because the CTAS node itself doesn't have a `QueryExecution`. It only has
the physical plan that was produced by the planner. `QueryExecution` only
exists in the places that drive the analze/.../exeucte, e.g. `Dataset`.
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