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[SPARK-21440][SQL][PYSPARK] Refactor ArrowConverters and add ArrayType and StructType support. #18655

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[SPARK-21440][SQL][PYSPARK] Refactor ArrowConverters and add ArrayType and StructType support. #18655

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1439fe6
Introduce ArrowWriter and ArrowColumnVector.
ueshin Jul 13, 2017
6fcf700
Use ArrowWriter for ArrowConverters.
ueshin Jul 14, 2017
579def2
Refactor ArrowConverters.
ueshin Jul 14, 2017
58cd465
Move releasing memory into task completion listener.
ueshin Jul 17, 2017
8ffedda
Revert ArrowColumnVector related implementations to split a pr into m…
ueshin Jul 18, 2017
e3a4fc0
Use rowCount instead of rowId.
ueshin Jul 19, 2017
b5988f9
Move files back to arrow package.
ueshin Jul 19, 2017
a50a271
Modify ArrowUtils to avoid deprecated APIs.
ueshin Jul 19, 2017
7084b38
Modify to close resources also immediately after row iterator is cons…
ueshin Jul 20, 2017
53fba41
Merge branch 'master' into issues/SPARK-21440
ueshin Jul 20, 2017
6fc4da0
Add ArrowWriterSuite.
ueshin Jul 20, 2017
926a624
Merge branch 'master' into issues/SPARK-21440
ueshin Jul 26, 2017
5bbb46f
Remove DecimalType support for now.
ueshin Jul 26, 2017
beff6ef
Fix skip() for StructType.
ueshin Jul 26, 2017
19f3973
Address comments.
ueshin Jul 26, 2017
0bac10d
Modify skip semantic.
ueshin Jul 27, 2017
b85dc23
Inline writeNull().
ueshin Jul 27, 2017
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4 changes: 2 additions & 2 deletions python/pyspark/sql/tests.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3018,8 +3018,8 @@ def assertFramesEqual(self, df_with_arrow, df_without):
self.assertTrue(df_without.equals(df_with_arrow), msg=msg)

def test_unsupported_datatype(self):
schema = StructType([StructField("array", ArrayType(IntegerType(), False), True)])
df = self.spark.createDataFrame([([1, 2, 3],)], schema=schema)
schema = StructType([StructField("dt", DateType(), True)])
df = self.spark.createDataFrame([(datetime.date(1970, 1, 1),)], schema=schema)
with QuietTest(self.sc):
self.assertRaises(Exception, lambda: df.toPandas())

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4 changes: 3 additions & 1 deletion sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala
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Expand Up @@ -27,6 +27,7 @@ import scala.util.control.NonFatal

import org.apache.commons.lang3.StringUtils

import org.apache.spark.TaskContext
import org.apache.spark.annotation.{DeveloperApi, Experimental, InterfaceStability}
import org.apache.spark.api.java.JavaRDD
import org.apache.spark.api.java.function._
Expand Down Expand Up @@ -3090,7 +3091,8 @@ class Dataset[T] private[sql](
val schemaCaptured = this.schema
val maxRecordsPerBatch = sparkSession.sessionState.conf.arrowMaxRecordsPerBatch
queryExecution.toRdd.mapPartitionsInternal { iter =>
ArrowConverters.toPayloadIterator(iter, schemaCaptured, maxRecordsPerBatch)
val context = TaskContext.get()
ArrowConverters.toPayloadIterator(iter, schemaCaptured, maxRecordsPerBatch, context)
}
}
}
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