viirya commented on a change in pull request #28366:
URL: https://github.com/apache/spark/pull/28366#discussion_r420615817
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -2063,16 +2063,17 @@ object SQLConf {
.booleanConf
.createWithDefault(true)
- val NESTED_PREDICATE_PUSHDOWN_ENABLED =
- buildConf("spark.sql.optimizer.nestedPredicatePushdown.enabled")
- .internal()
- .doc("When true, Spark tries to push down predicates for nested columns
and or names " +
- "containing `dots` to data sources. Currently, Parquet implements both
optimizations " +
- "while ORC only supports predicates for names containing `dots`. The
other data sources" +
- "don't support this feature yet.")
+ val NESTED_PREDICATE_PUSHDOWN_FILE_SOURCE_LIST =
+
buildConf("spark.sql.optimizer.nestedPredicatePushdown.supportedFileSources")
+ .internal()
+ .doc("A comma-separated list of data source short names or fully
qualified data source " +
+ "implementation class names for which Spark tries to push down
predicates for nested " +
+ "columns and/or names containing `dots` to data sources. Currently,
Parquet implements " +
+ "both optimizations while ORC only supports predicates for names
containing `dots`. The " +
+ "other data sources don't support this feature yet. So the default
value is 'parquet,orc'.")
Review comment:
I think DSv2 API supposes nested column capacity like pushdown and
pruning, so we only need to deal with DSv1 compatibility issues here.
Precisely, file source.
I will create a simple followup to refine the doc of this configuration for
this point. Thanks.
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