Github user rtreffer commented on a diff in the pull request:
https://github.com/apache/spark/pull/6796#discussion_r33420714
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/parquet/CatalystSchemaConverter.scala
---
@@ -383,20 +386,14 @@ private[parquet] class CatalystSchemaConverter(
.length(minBytesForPrecision(precision))
.named(field.name)
- case dec @ DecimalType() if !followParquetFormatSpec =>
- throw new AnalysisException(
- s"Data type $dec is not supported. " +
- s"When ${SQLConf.PARQUET_FOLLOW_PARQUET_FORMAT_SPEC.key} is
set to false," +
- "decimal precision and scale must be specified, " +
- "and precision must be less than or equal to 18.")
-
--- End diff --
You said it should usevthe hive default of (10,0) - or did I misinterpret
that?
Am 28. Juni 2015 10:53:00 MESZ, schrieb Cheng Lian
<notificati...@github.com>:
>> @@ -383,20 +386,14 @@ private[parquet] class CatalystSchemaConverter(
>> .length(minBytesForPrecision(precision))
>> .named(field.name)
>>
>> - case dec @ DecimalType() if !followParquetFormatSpec =>
>> - throw new AnalysisException(
>> - s"Data type $dec is not supported. " +
>> - s"When ${SQLConf.PARQUET_FOLLOW_PARQUET_FORMAT_SPEC.key}
>is set to false," +
>> - "decimal precision and scale must be specified, " +
>> - "and precision must be less than or equal to 18.")
>> -
>
>We still need this branch to handle the case where precision
>information is missing.
>
>---
>Reply to this email directly or view it on GitHub:
>https://github.com/apache/spark/pull/6796/files#r33420570
--
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