Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/6796#discussion_r33133479
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTableSupport.scala
---
@@ -369,9 +371,6 @@ private[parquet] class MutableRowWriteSupport extends
RowWriteSupport {
case DateType => writer.addInteger(record.getInt(index))
case TimestampType => writeTimestamp(record.getLong(index))
case d: DecimalType =>
- if (d.precisionInfo == None || d.precisionInfo.get.precision > 18)
{
- sys.error(s"Unsupported datatype $d, cannot write to consumer")
- }
--- End diff --
I don't think Parquet allow mixed decimal precision. However, Hive uses a
default precision = 10 and a default scale = 0 when precision/scale information
is missing. I also did the same thing in #6617.
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