gatorsmile 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_r287412753
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
##########
@@ -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'.)")
+ .booleanConf
+ .createWithDefault(false)
+
+ val PYSPARK_ARROW_EXECUTION_ENABLED =
+ buildConf("spark.sql.pyspark.execution.arrow.enabled")
+ .doc("When true, make use of Apache Arrow for columnar data transfers in
PySpark. " +
+ "This optimization applies to: " +
"1. pyspark.sql.DataFrame.toPandas " +
"2. pyspark.sql.SparkSession.createDataFrame when its input is a
Pandas DataFrame " +
"The following data types are unsupported: " +
- "BinaryType, MapType, ArrayType of TimestampType, and nested
StructType." +
+ "BinaryType, MapType, ArrayType of TimestampType, and nested
StructType.")
+ .fallbackConf(ARROW_EXECUTION_ENABLED)
- "In case of SparkR," +
+ val SPARKR_ARROW_EXECUTION_ENABLED =
+ buildConf("spark.sql.sparkr.execution.arrow.enabled")
Review comment:
spark.sparkr.arrow.enabled ?
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