cloud-fan commented on a change in pull request #31921:
URL: https://github.com/apache/spark/pull/31921#discussion_r598471813
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaConverter.scala
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@@ -130,13 +130,11 @@ class ParquetToSparkSchemaConverter(
case INT32 =>
originalType match {
case INT_8 => ByteType
- case INT_16 => ShortType
- case INT_32 | null => IntegerType
+ case INT_16 | UINT_8 => ShortType
+ case INT_32 | UINT_16 | null => IntegerType
case DATE => DateType
case DECIMAL => makeDecimalType(Decimal.MAX_INT_DIGITS)
- case UINT_8 => typeNotSupported()
- case UINT_16 => typeNotSupported()
- case UINT_32 => typeNotSupported()
+ case UINT_32 => LongType
Review comment:
It's more about compatibility. Spark won't have unsigned types, but
spark should be able to read existing parquet files written by other systems
that support unsigned types.
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