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https://issues.apache.org/jira/browse/PARQUET-1166?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16392324#comment-16392324
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ASF GitHub Bot commented on PARQUET-1166:
-----------------------------------------
advancedxy commented on issue #445: [WIP] PARQUET-1166: Add
GetRecordBatchReader in parquet/arrow/reader
URL: https://github.com/apache/parquet-cpp/pull/445#issuecomment-371698673
>I can't speak for my company. I will have to check with my manager and
technical leader. However big company always wants something in return:
reputation/business benefits etc.
Sorry for the delay(busy setting up cluster spark app profiling). I checked
with my manager, the general response is that:
> with limit amount of dev resource, we will contribute back internally
features if suitable, but should not actively work on community issues.
However, I will try to figure out if there is issues I can work on in my
spare time
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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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