Github user leifwalsh commented on a diff in the pull request:
https://github.com/apache/spark/pull/15821#discussion_r122359928
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1648,8 +1650,30 @@ def toPandas(self):
0 2 Alice
1 5 Bob
"""
- import pandas as pd
- return pd.DataFrame.from_records(self.collect(),
columns=self.columns)
+ if self.sql_ctx.getConf("spark.sql.execution.arrow.enable",
"false").lower() == "true":
+ try:
+ import pyarrow
+ tables = self._collectAsArrow()
+ table = pyarrow.concat_tables(tables)
--- End diff --
If tables is an empty list (e.g. if you load a dataset, filter the whole
thing, and produce zero rows), `pyarrow.concat_tables` raises an exception
rather than producing an empty table. This should probably be fixed in arrow
(cc @wesm) but we should be defensive here. Probably should try to produce a
`DataFrame` with the right schema but no rows if possible.
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