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[SPARK-23352][PYTHON] Explicitly specify supported types in Pandas UDFs #20531

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[SPARK-23352][PYTHON] Explicitly specify supported types in Pandas UDFs #20531

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ec708d5
Explicitly specify supported types with Pandas UDFs
HyukjinKwon Feb 7, 2018
7cbebaf
Fix tests accordingly
HyukjinKwon Feb 7, 2018
68662ec
Remove unused import
HyukjinKwon Feb 7, 2018
36617e4
Address comments
HyukjinKwon Feb 8, 2018
07f2d78
Add BinaryType to configuration description
HyukjinKwon Feb 10, 2018
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Add BinaryType to configuration description
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@HyukjinKwon
HyukjinKwon committed Feb 10, 2018
commit 07f2d781022a44186fe5ab4c5621d80acce0711f
2 changes: 1 addition & 1 deletion sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
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Expand Up @@ -1064,7 +1064,7 @@ object SQLConf {
"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.")
"BinaryType, MapType, ArrayType of TimestampType, and nested StructType.")
.booleanConf
.createWithDefault(false)

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