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Posted to github@arrow.apache.org by "sgilmore10 (via GitHub)" <gi...@apache.org> on 2023/06/28 17:00:18 UTC

[GitHub] [arrow] sgilmore10 opened a new pull request, #36361: GH-36359: [MATLAB] Add support for Timestamp arrays to RecordBatch

sgilmore10 opened a new pull request, #36361:
URL: https://github.com/apache/arrow/pull/36361

   ### Rationale for this change
   
   Now that we have a `TimestampArray` class in MATLAB, we should add support for `TimestampArray` columns in `RecordBatch`.
   
   ### What changes are included in this PR?
   
   You can now create a `RecordBatch` with a `TimestampArray` column:
   
   ```matlab
   >> Date = datetime(2023, 6, 28) + days(0:2)';
   >> DayNumber = weekday(Date);
   >> t  = table(Date, DayNumber)
   
   t =
   
     3×2 table
   
          Date        DayNumber
       ___________    _________
   
       28-Jun-2023        4    
       29-Jun-2023        5    
       30-Jun-2023        6    
   
   >> rb = arrow.tabular.RecordBatch(t)
   
   rb = 
   
   Date:   [
       2023-06-28 00:00:00.000000,
       2023-06-29 00:00:00.000000,
       2023-06-30 00:00:00.000000
     ]
   DayNumber:   [
       4,
       5,
       6
     ]
   
   ``
   
   ### Are these changes tested?
   
   Yes, the `SupportedTypes` unit test in `tRecordBatch.m` was updated to verify we support creating record batches with timestamp data.
   
   
   ### Are there any user-facing changes?
   
   1. Users can create record batches with timestamp data now.
   


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[GitHub] [arrow] kou merged pull request #36361: GH-36359: [MATLAB] Add support for Timestamp arrays to RecordBatch

Posted by "kou (via GitHub)" <gi...@apache.org>.
kou merged PR #36361:
URL: https://github.com/apache/arrow/pull/36361


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[GitHub] [arrow] conbench-apache-arrow[bot] commented on pull request #36361: GH-36359: [MATLAB] Add support for Timestamp arrays to RecordBatch

Posted by "conbench-apache-arrow[bot] (via GitHub)" <gi...@apache.org>.
conbench-apache-arrow[bot] commented on PR #36361:
URL: https://github.com/apache/arrow/pull/36361#issuecomment-1617631851

   Conbench analyzed the 6 benchmark runs on commit `c0dd99f3`.
   
   There were no benchmark performance regressions. 🎉
   
   The [full Conbench report](https://github.com/apache/arrow/runs/14731560276) has more details.


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