Github user viirya commented on a diff in the pull request: https://github.com/apache/spark/pull/20403#discussion_r164287467 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala --- @@ -1043,11 +1043,11 @@ object SQLConf { val ARROW_EXECUTION_ENABLE = buildConf("spark.sql.execution.arrow.enabled") - .internal() - .doc("Make use of Apache Arrow for columnar data transfers. Currently available " + - "for use with pyspark.sql.DataFrame.toPandas with the following data types: " + - "StringType, BinaryType, BooleanType, DoubleType, FloatType, ByteType, IntegerType, " + - "LongType, ShortType") + .doc("When true, make use of Apache Arrow for columnar data transfers. Currently available " + + "for use with pyspark.sql.DataFrame.toPandas, and " + + "pyspark.sql.SparkSession.createDataFrame when its input is a Pandas DataFrame. " + + "The following data types are unsupported: " + + "MapType, ArrayType of TimestampType, and nested StructType.") .booleanConf .createWithDefault(false) --- End diff -- `spark.sql.execution.arrow.maxRecordsPerBatch` is also mentioned in the doc change at #19575. Shall we also externalize it?
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