cloud-fan commented on a change in pull request #25767: [SPARK-29062][SQL] Add
V1_BATCH_WRITE to the TableCapabilityChecks
URL: https://github.com/apache/spark/pull/25767#discussion_r326497209
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
##########
@@ -267,6 +262,10 @@ final class DataFrameWriter[T] private[sql](ds:
Dataset[T]) {
import
org.apache.spark.sql.execution.datasources.v2.DataSourceV2Implicits._
provider.getTable(dsOptions) match {
case table: SupportsWrite if table.supports(BATCH_WRITE) =>
+ if (partitioningColumns.nonEmpty) {
Review comment:
good catch! Even if the format is a `TableProvider`, we may still fall back
to v1. It's better to check the partition when we are really going to do a v2
write.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]