wangyum commented on a change in pull request #26200: [SPARK-29542] Make the
description of spark.sql.files.maxPartitionBytes be clearly
URL: https://github.com/apache/spark/pull/26200#discussion_r337337495
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -980,7 +980,8 @@ object SQLConf {
.createWithDefault(true)
val FILES_MAX_PARTITION_BYTES =
buildConf("spark.sql.files.maxPartitionBytes")
- .doc("The maximum number of bytes to pack into a single partition when
reading files.")
+ .doc("The maximum number of bytes to pack into a single partition when
reading files" +
+ " for data source table.")
Review comment:
What if the built-in Parquet/ORC reader are used to process tables created
by Hive(`spark.sql.hive.convertMetastoreParquet=true`)?
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