Github user gatorsmile commented on a diff in the pull request: https://github.com/apache/spark/pull/13496#discussion_r66729871 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala --- @@ -452,6 +452,17 @@ class Analyzer( def apply(plan: LogicalPlan): LogicalPlan = plan resolveOperators { case i @ InsertIntoTable(u: UnresolvedRelation, parts, child, _, _) if child.resolved => + // A partitioned relation's schema can be different from the input logicalPlan, since + // partition columns are all moved after data columns. We Project to adjust the ordering. + val input = if (parts.nonEmpty) { + val (inputPartCols, inputDataCols) = child.output.partition { attr => + parts.contains(attr.name) + } + Project(inputDataCols ++ inputPartCols, child) + } else { + child + } --- End diff -- If we use the name based resolution, we also need to check if the all the input columns have the expected partitioning names; Otherwise, the result will be not predictable.
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