Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/19943#discussion_r160087041 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala --- @@ -386,6 +386,16 @@ object SQLConf { .checkValues(Set("hive", "native")) .createWithDefault("native") + val ORC_VECTORIZED_READER_ENABLED = buildConf("spark.sql.orc.enableVectorizedReader") + .doc("Enables vectorized orc decoding.") + .booleanConf + .createWithDefault(true) + + val ORC_VECTORIZED_JAVA_READER_ENABLED = buildConf("spark.sql.orc.enableVectorizedJavaReader") --- End diff -- I don't think there will be a performance difference, but using java for things like this is more conventional in Spark.
--- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org