HyukjinKwon commented on a change in pull request #31735:
URL: https://github.com/apache/spark/pull/31735#discussion_r587996946
##########
File path: python/pyspark/sql/pandas/serializers.py
##########
@@ -183,6 +212,21 @@ def create_array(s, t):
raise e
return array
+ def to_plain_struct(cell):
Review comment:
The performance here will be very bad. We should create a function based
on the type, and avoid type-dispatching for every value.
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala
##########
@@ -89,9 +90,35 @@ case class ArrowEvalPythonExec(udfs: Seq[PythonUDF],
resultAttrs: Seq[Attribute]
columnarBatchIter.flatMap { batch =>
val actualDataTypes = (0 until batch.numCols()).map(i =>
batch.column(i).dataType())
- assert(outputTypes == actualDataTypes, "Invalid schema from pandas_udf:
" +
- s"expected ${outputTypes.mkString(", ")}, got
${actualDataTypes.mkString(", ")}")
+ assert(plainSchema(outputTypes) == plainSchema(actualDataTypes),
Review comment:
I think we wouldn't need to call `plainSchema(actualDataTypes)` because
Arrow schema cannot contain PySpark's UDF?
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowPythonRunner.scala
##########
@@ -54,6 +54,9 @@ class ArrowPythonRunner(
"Pandas execution requires more than 4 bytes. Please set higher buffer. " +
s"Please change '${SQLConf.PANDAS_UDF_BUFFER_SIZE.key}'.")
+ /** This is a private key */
+ private val PANDAS_UDF_RETURN_TYPE_JSON =
"spark.sql.execution.pandas.udf.return.type.json"
Review comment:
Can we avoid sending this together with configurations?
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala
##########
@@ -24,9 +24,10 @@ import org.apache.spark.api.python.ChainedPythonFunctions
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.execution.SparkPlan
-import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.types._
import org.apache.spark.sql.util.ArrowUtils
+
Review comment:
Let's remove all these unreleased changes
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/ArrowEvalPythonExec.scala
##########
@@ -24,9 +24,10 @@ import org.apache.spark.api.python.ChainedPythonFunctions
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.execution.SparkPlan
-import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.types._
Review comment:
and avoid wildcard import
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