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Posted to jira@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2020/06/19 07:26:00 UTC

[jira] [Resolved] (ARROW-7702) [C++][Dataset] Provide (optional) deterministic order of batches

     [ https://issues.apache.org/jira/browse/ARROW-7702?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche resolved ARROW-7702.
------------------------------------------
    Fix Version/s: 1.0.0
         Assignee: Francois Saint-Jacques
       Resolution: Duplicate

> [C++][Dataset] Provide (optional) deterministic order of batches
> ----------------------------------------------------------------
>
>                 Key: ARROW-7702
>                 URL: https://issues.apache.org/jira/browse/ARROW-7702
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: C++, Python
>            Reporter: Joris Van den Bossche
>            Assignee: Francois Saint-Jacques
>            Priority: Major
>              Labels: dataset
>             Fix For: 1.0.0
>
>
> Example with python:
> {code}
> import pyarrow as pa
> import pyarrow.parquet as pq
> table = pa.table({'a': range(12)}) 
> pq.write_table(table, "test_chunks.parquet", chunk_size=3) 
> # reading with dataset
> import pyarrow.dataset as ds
> ds.dataset("test_chunks.parquet").to_table().to_pandas()
> {code}
> gives non-deterministic result (order of the row groups in the parquet file):
> {code}
> In [25]: ds.dataset("test_chunks.parquet").to_table().to_pandas()                                                                                                                                                  
> Out[25]: 
>      a
> 0    0
> 1    1
> 2    2
> 3    3
> 4    4
> 5    5
> 6    6
> 7    7
> 8    8
> 9    9
> 10  10
> 11  11
> In [26]: ds.dataset("test_chunks.parquet").to_table().to_pandas()                                                                                                                                                  
> Out[26]: 
>      a
> 0    0
> 1    1
> 2    2
> 3    3
> 4    8
> 5    9
> 6   10
> 7   11
> 8    4
> 9    5
> 10   6
> 11   7
> {code}



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