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https://issues.apache.org/jira/browse/SPARK-9340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14679792#comment-14679792
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Damian Guy commented on SPARK-9340:
-----------------------------------

Hi, I did try it against the 1.5 and the problem still exists - hence the fix. 
You can try it for yourself if you run just the tests I added without making 
the other changes.

The part of the parquet spec that matters in this case is here:
https://github.com/apache/parquet-format/blob/master/LogicalTypes.md#nested-types
In particular:
"This does not affect repeated fields that are not annotated: A repeated field 
that is neither contained by a LIST- or MAP-annotated group nor annotated by 
LIST or MAP should be interpreted as a required list of required elements where 
the element type is the type of the field."

parquet-protobuf does a 1 - 1 mapping and does not have annotations. It is 
compliant with the spec. 
Whilst i feel the spec should be tighter and the schema should be consistent no 
matter the original data format, this is not the case. 

> ParquetTypeConverter incorrectly handling of repeated types results in schema 
> mismatch
> --------------------------------------------------------------------------------------
>
>                 Key: SPARK-9340
>                 URL: https://issues.apache.org/jira/browse/SPARK-9340
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.2.0, 1.3.0, 1.4.0, 1.5.0
>            Reporter: Damian Guy
>         Attachments: ParquetTypesConverterTest.scala
>
>
> The way ParquetTypesConverter handles primitive repeated types results in an 
> incompatible schema being used for querying data. For example, given a schema 
> like so:
> message root {
>    repeated int32 repeated_field;
>  }
> Spark produces a read schema like:
> message root {
>    optional int32 repeated_field;
>  }
> These are incompatible and all attempts to read fail.
> In ParquetTypesConverter.toDataType:
>  if (parquetType.isPrimitive) {
>       toPrimitiveDataType(parquetType.asPrimitiveType, isBinaryAsString, 
> isInt96AsTimestamp)
>     } else {...}
> The if condition should also have 
> !parquetType.isRepetition(Repetition.REPEATED)
>  
> And then this case will need to be handled in the else 



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