Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/6796#discussion_r33119772
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetTypes.scala ---
@@ -229,11 +231,15 @@ private[parquet] object ParquetTypesConverter extends
Logging {
case LongType => Some(ParquetTypeInfo(ParquetPrimitiveTypeName.INT64))
case TimestampType =>
Some(ParquetTypeInfo(ParquetPrimitiveTypeName.INT96))
case DecimalType.Fixed(precision, scale) if precision <= 18 =>
- // TODO: for now, our writer only supports decimals that fit in a
Long
Some(ParquetTypeInfo(ParquetPrimitiveTypeName.FIXED_LEN_BYTE_ARRAY,
--- End diff --
Using int32 and int64 makes encoding and decoding faster since they don't
introduce boxing costs. But I agree that should be made in another PR.
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