Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/2241#discussion_r17806210
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/HiveTableScan.scala
---
@@ -71,14 +72,14 @@ case class HiveTableScan(
Cast(Literal(value), dataType).eval(null)
}
+
private def addColumnMetadataToConf(hiveConf: HiveConf) {
// Specifies needed column IDs for those non-partitioning columns.
val neededColumnIDs =
attributes.map(a =>
relation.attributes.indexWhere(_.name == a.name):
Integer).filter(index => index >= 0)
- ColumnProjectionUtils.appendReadColumnIDs(hiveConf, neededColumnIDs)
- ColumnProjectionUtils.appendReadColumnNames(hiveConf,
attributes.map(_.name))
+ HiveShim.appendReadColumns(hiveConf, neededColumnIDs,
attributes.map(_.name))
--- End diff --
Yeah, because we were always using append, these lists will be messed up in
the case of join or after running the first query. I opened
https://issues.apache.org/jira/browse/SPARK-3559. It will be great if it can
also fix it.
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