Github user BryanCutler commented on a diff in the pull request:
https://github.com/apache/spark/pull/18754#discussion_r158567491
--- Diff: python/pyspark/sql/types.py ---
@@ -1617,7 +1617,7 @@ def to_arrow_type(dt):
elif type(dt) == DoubleType:
arrow_type = pa.float64()
elif type(dt) == DecimalType:
- arrow_type = pa.decimal(dt.precision, dt.scale)
+ arrow_type = pa.decimal128(dt.precision, dt.scale)
--- End diff --
yes, that's the right way - it is now fixed at 128 bits internally. I
believe the Arrow Java limit is the same as Spark 38/38, not sure if pyarrow is
the same but I think so.
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