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[enchement](mc)Optimize reading of maxcompute partition tables. (#45148) #45246

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merged 1 commit into from
Dec 11, 2024

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hubgeter
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bp #45148

What problem does this PR solve?

Problem Summary:
Optimize reading of maxcompute partition tables:

  1. Introduce batch mode to generate splits for Maxcompute partition tables to optimize scenarios with a large number of partitions. Control it through the variable num_partitions_in_batch_mode.
  2. Introduce catalog parameter mc.split_cross_partition. The parameter is true, which is more friendly to reading partition tables, and false, which is more friendly to debug.
  3. Add -Darrow.enable_null_check_for_get=false to be jvm to improve the efficiency of mc arrow data conversion.

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Check List (For Author)

  • Test

    • Regression test
    • Unit Test
    • Manual test (add detailed scripts or steps below)
    • No need to test or manual test. Explain why:
      • This is a refactor/code format and no logic has been changed.
      • Previous test can cover this change.
      • No code files have been changed.
      • Other reason
  • Behavior changed:

    • No.
    • Yes.
  • Does this need documentation?

    • No.
    • Yes.

Check List (For Reviewer who merge this PR)

  • Confirm the release note
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…he#45148)

Problem Summary:
Optimize reading of maxcompute partition tables:
1. Introduce batch mode to generate splits for Maxcompute partition
tables to optimize scenarios with a large number of partitions. Control
it through the variable `num_partitions_in_batch_mode`.
2. Introduce catalog parameter `mc.split_cross_partition`. The parameter
is true, which is more friendly to reading partition tables, and false,
which is more friendly to debug.
3. Add `-Darrow.enable_null_check_for_get=false` to be jvm to improve
the efficiency of mc arrow data conversion.
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Please clearly describe your PR:

  1. What problem was fixed (it's best to include specific error reporting information). How it was fixed.
  2. Which behaviors were modified. What was the previous behavior, what is it now, why was it modified, and what possible impacts might there be.
  3. What features were added. Why was this function added?
  4. Which code was refactored and why was this part of the code refactored?
  5. Which functions were optimized and what is the difference before and after the optimization?

@hubgeter
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run buildall

@yiguolei yiguolei merged commit a233349 into apache:branch-2.1 Dec 11, 2024
22 of 23 checks passed
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3 participants