Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/20567#discussion_r167423077
--- Diff: python/pyspark/sql/dataframe.py ---
@@ -1941,12 +1941,24 @@ def toPandas(self):
timezone = None
if self.sql_ctx.getConf("spark.sql.execution.arrow.enabled",
"false").lower() == "true":
+ should_fall_back = False
try:
- from pyspark.sql.types import
_check_dataframe_convert_date, \
- _check_dataframe_localize_timestamps
+ from pyspark.sql.types import to_arrow_schema
from pyspark.sql.utils import
require_minimum_pyarrow_version
- import pyarrow
require_minimum_pyarrow_version()
+ # Check if its schema is convertible in Arrow format.
+ to_arrow_schema(self.schema)
+ except Exception as e:
+ # Fallback to convert to Pandas DataFrame without arrow if
raise some exception
--- End diff --
Yup. It does fall back for unsupported schema, PyArrow version mismatch and
PyAarrow missing. Will add a note in PR description.
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