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[SPARK-25274][PYTHON][SQL] In toPandas with Arrow send un-ordered record batches to improve performance #22275

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BryanCutler wants to merge 10 commits into from
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[SPARK-25274][PYTHON][SQL] In toPandas with Arrow send un-ordered record batches to improve performance #22275

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087564e
changed toPandas to send out of order batches, followed by batch orde…
BryanCutler Aug 29, 2018
6073ed9
reorg the batch order deser to simplify
BryanCutler Oct 30, 2018
0d77b00
expanded test for more cases
BryanCutler Oct 30, 2018
7d19977
Merge remote-tracking branch 'upstream/master' into arrow-toPandas-oo…
BryanCutler Oct 30, 2018
6457e42
remove blank line
BryanCutler Oct 30, 2018
bf2feec
add test case with delay
BryanCutler Nov 6, 2018
725cd47
Merge remote-tracking branch 'upstream/master' into arrow-toPandas-oo…
BryanCutler Nov 8, 2018
7dc92c8
fixed some comments
BryanCutler Nov 8, 2018
8045fac
fix comment
BryanCutler Nov 8, 2018
00c7b8c
Merge remote-tracking branch 'upstream/master' into arrow-toPandas-oo…
BryanCutler Dec 5, 2018
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remove blank line
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@BryanCutler
BryanCutler committed Oct 30, 2018
commit 6457e420e3b8366c1373e7adb0bf56df03b9cc19
1 change: 0 additions & 1 deletion python/pyspark/sql/dataframe.py
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Expand Up @@ -2125,7 +2125,6 @@ def toPandas(self):
from pyspark.sql.types import _check_dataframe_convert_date, \
_check_dataframe_localize_timestamps
import pyarrow

batches = self._collectAsArrow()
if len(batches) > 0:
table = pyarrow.Table.from_batches(batches)
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