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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/05/24 14:58:32 UTC

[GitHub] [spark] HyukjinKwon commented on a change in pull request #24700: [SPARK-27834][SQL][R][PYTHON] Make separate PySpark/SparkR vectorization configurations

HyukjinKwon commented on a change in pull request #24700: [SPARK-27834][SQL][R][PYTHON] Make separate PySpark/SparkR vectorization configurations
URL: https://github.com/apache/spark/pull/24700#discussion_r287398068
 
 

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 File path: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
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 @@ -1326,14 +1326,24 @@ object SQLConf {
 
   val ARROW_EXECUTION_ENABLED =
     buildConf("spark.sql.execution.arrow.enabled")
-      .doc("When true, make use of Apache Arrow for columnar data transfers." +
-        "In case of PySpark, " +
+      .doc("(Deprecated since Spark 3.0, please set 'spark.sql.pyspark.execution.arrow.enabled'.)")
 
 Review comment:
   Seems I should use hardcoded one to avoid to refer each other.

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