Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/1880#discussion_r16035082
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/columnar/InMemoryColumnarTableScan.scala
---
@@ -90,22 +101,31 @@ private[sql] case class InMemoryColumnarTableScan(
override def execute() = {
relation.cachedColumnBuffers.mapPartitions { iterator =>
- val columnBuffers = iterator.next()
- assert(!iterator.hasNext)
+ // Find the ordinals of the requested columns. If none are
requested, use the first.
+ val requestedColumns =
+ if (attributes.isEmpty) {
+ Seq(0)
--- End diff --
Maybe we can use the narrowest one instead of the 1st one by checking
default sizes of columns:
```scala
val narrowest = relation.output.indices.minBy { i =>
ColumnType(relation.output(i).dataType).defaultSize
}
Seq(narrowest)
```
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]