mallman commented on a change in pull request #22905: [SPARK-25894][SQL] Add a
ColumnarFileFormat type which returns the column count for a given schema
URL: https://github.com/apache/spark/pull/22905#discussion_r244814080
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/DataSourceScanExec.scala
##########
@@ -306,7 +306,15 @@ case class FileSourceScanExec(
withOptPartitionCount
}
- withSelectedBucketsCount
+ val withOptColumnCount = relation.fileFormat match {
+ case columnar: ColumnarFileFormat =>
+ val sqlConf = relation.sparkSession.sessionState.conf
+ val columnCount = columnar.columnCountForSchema(sqlConf,
requiredSchema)
+ withSelectedBucketsCount + ("ColumnCount" -> columnCount.toString)
Review comment:
> That basically says logging is useless when to use beeline. I don't think
this info is super important to (non-advanced) users.
My experience says otherwise, and advanced users use beeline and Jupyter,
too.
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