Github user rtreffer commented on a diff in the pull request:

    https://github.com/apache/spark/pull/6796#discussion_r32891515
  
    --- 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 --
    
    What would we gain by encoding it that way?
    We use a minimal length fixed byte array which should provide a similar 
compact encoding. (DECIMAL(9) should end up as 4 bytes, and smaller decimal 
values should take even less space)
    
    Decoding is a different story, though.
    
    PS: I was focusing on DECIMAL with precision >=19. Shouldn't small decimal 
handling be a new ticket?
    
    Am 21. Juni 2015 02:41:44 MESZ, schrieb Davies Liu 
<[email protected]>:
    >> @@ -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,
    >
    >We should int32, int64 if possible, see
    
>https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#decimal
    >```
    >DECIMAL can be used to annotate the following types:
    >
    >int32: for 1 <= precision <= 9
    >int64: for 1 <= precision <= 18; precision <= 10 will produce a warning
    >fixed_len_byte_array: precision is limited by the array size. Length n
    >can store <= floor(log_10(2^(8*n - 1) - 1)) base-10 digits
    >binary: precision is not limited, but is required. The minimum number
    >of bytes to store the unscaled value should be used.
    >```
    >
    >---
    >Reply to this email directly or view it on GitHub:
    >https://github.com/apache/spark/pull/6796/files#r32889441
    
    -- 
    Diese Nachricht wurde von meinem Android-Mobiltelefon mit K-9 Mail gesendet.


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