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https://issues.apache.org/jira/browse/PARQUET-2039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17335226#comment-17335226
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Gabor Szadovszky commented on PARQUET-2039:
-------------------------------------------

I am a bit confused about the version numbers. Are you comparing 1.11.1 and 
1.10.0 or 1.11.1 and 1.11.0? Anyway, PARQUET-1879 seems to be related. It is 
around the same area and got in to 1.11.1.
You are invoking {{setRequestedProjection}}. Could you please list the exact 
avro schema you are using for the projection?

[~maccamlc], since your modification potentially caused this regression(?) you 
may want to check this out.

> AvroReadSupport.setRequestedProjection in 1.11.1+ not backwards compatible 
> with MAPS
> ------------------------------------------------------------------------------------
>
>                 Key: PARQUET-2039
>                 URL: https://issues.apache.org/jira/browse/PARQUET-2039
>             Project: Parquet
>          Issue Type: Bug
>          Components: parquet-avro, parquet-mr
>    Affects Versions: 1.11.0, 1.11.1
>            Reporter: Bil Bingham
>            Priority: Minor
>         Attachments: PQMapTest.java
>
>
>  
> using AvroReadSupport.setRequestedProjection in 1.11.1 reading a 1.10.0 
> generated parquet file sets MAP<STRING,STRING> fields to null (and vice versa 
> 1.10.0 reader against a 1.11.1 generated file) 
> - Not using a projected schema works, the map fields are converted correctly.
> In my case. Parquet file is generated by hive 
> {code:java}
> CREATE TABLE parquetmaptest (
>  a string,
>  b MAP<string,string>
> )
> STORED AS PARQUET 
> tblproperties(
>  "parquet.compression"="SNAPPY"
> );
> insert into parquetmaptest select "a",map("k1","v1","k2","v2");{code}
> Using parquet-avro 1.11.1 (and appropriate dependencies) result in field "b" 
> being null. 
> {code:java}
> data:null
> row:{"a": "a", "b": null}{code}
> Using parquet-avro 1.11.0 (and appropriate dependencies) result in field "b" 
> being  the right map value.  
> {code:java}
> data:{k1=v1, k2=v2}
> row:{"a": "a", "b": {"k1": "v1", "k2": "v2"}}{code}
>  



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