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https://issues.apache.org/jira/browse/PARQUET-1166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16386906#comment-16386906
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ASF GitHub Bot commented on PARQUET-1166:
-----------------------------------------

wesm commented on issue #445: [WIP] PARQUET-1166: Add GetRecordBatchReader in 
parquet/arrow/reader
URL: https://github.com/apache/parquet-cpp/pull/445#issuecomment-370597784
 
 
   Will review soon, have been underwater with the Arrow 0.9.0 backlog. Is 
there a possibility that individuals from Baidu may become more involved in 
Arrow development as well? 

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> [API Proposal] Add GetRecordBatchReader in parquet/arrow/reader.h
> -----------------------------------------------------------------
>
>                 Key: PARQUET-1166
>                 URL: https://issues.apache.org/jira/browse/PARQUET-1166
>             Project: Parquet
>          Issue Type: Improvement
>          Components: parquet-cpp
>            Reporter: Xianjin YE
>            Priority: Major
>
> Hi, I'd like to proposal a new API to better support splittable reading for 
> Parquet File.
> The intent for this API is that we can selective reading RowGroups(normally 
> be contiguous, but can be arbitrary as long as the row_group_idxes are sorted 
> and unique, [1, 3, 5] for example). 
> The proposed API would be something like this:
> {code:java}
> ::arrow::Status GetRecordBatchReader(const std::vector<int>& 
> row_group_indices,
>                                                                 
> std::shared_ptr<::arrow::RecordBatchReader>* out);
>                 
> ::arrow::Status GetRecordBatchReader(const std::vector<int>& 
> row_group_indices,
>                                                                 const 
> std::vector<int>& column_indices,
>                                                                 
> std::shared_ptr<::arrow::RecordBatchReader>* out);
> {code}
> With new API, we can split Parquet file into RowGroups and can be processed 
> by multiple tasks(maybe be on different hosts, like the Map task in MapReduce)
> [~wesmckinn][~xhochy] What do you think?



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