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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