Async write support for ORC #11865
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Async write support for ORC #11865
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jihoonson
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Signed-off-by: Jihoon Son <ghoonson@gmail.com>
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abellina
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Dec 18, 2024
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Any indication that this is a performance improvement for Orc? I assume so, but asking if you have data. |
mythrocks
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Dec 18, 2024
mythrocks
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Dec 18, 2024
@abellina I haven't run any performance test yet, but agree it will be useful. Unfortunately, I'm quite stuck in other work right now. Do you mind if I run some benchmark later and post the results here? |
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jihoonson
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Dec 19, 2024
| gen_list = [('_c' + str(i), gen) for i, gen in enumerate(orc_gen)] | ||
| assert_gpu_and_cpu_writes_are_equal_collect( | ||
| lambda spark, path: gen_df(spark, gen_list, length=num_rows).write.orc(path), | ||
| lambda spark, path: spark.read.orc(path).orderBy([('_c' + str(i)) for i in range(num_cols)]), |
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It seems that the GPU and CPU orc readers can return the same rows in different orders. Added an orderBy to make the test deterministic.
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The test failure is filed in #11897. |
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abellina
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Dec 20, 2024
revans2
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Dec 20, 2024
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Follow up to #11730.
This PR adds the async write support for the ORC format as well as an integration test for it. This PR is marked as a draft since it depends on #11855.