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Concatenate small input chunks before P2P rechunking #8832

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merged 22 commits into from
Aug 23, 2024

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hendrikmakait
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@hendrikmakait hendrikmakait commented Aug 14, 2024

Blocked by (and includes) #8831

  • Tests added / passed
  • Passes pre-commit run --all-files

@hendrikmakait hendrikmakait requested a review from fjetter as a code owner August 14, 2024 07:27
@hendrikmakait hendrikmakait marked this pull request as draft August 14, 2024 07:27
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github-actions bot commented Aug 14, 2024

Unit Test Results

See test report for an extended history of previous test failures. This is useful for diagnosing flaky tests.

    25 files  ± 0      25 suites  ±0   10h 9m 26s ⏱️ - 10m 16s
 4 118 tests + 6   4 000 ✅ + 5    111 💤  -  2  7 ❌ +3 
47 571 runs  +60  45 457 ✅ +81  2 106 💤  - 25  8 ❌ +4 

For more details on these failures, see this check.

Results for commit 5487c23. ± Comparison against base commit e9d8233.

This pull request removes 8 and adds 14 tests. Note that renamed tests count towards both.
distributed.tests.test_client ‑ test_client_connectionpool_semaphore_loop
distributed.tests.test_client ‑ test_client_gather_semaphore_loop
distributed.tests.test_utils_test ‑ test_dump_cluster_state
distributed.tests.test_utils_test ‑ test_dump_cluster_state_nannies
distributed.tests.test_utils_test ‑ test_dump_cluster_state_no_workers
distributed.tests.test_utils_test ‑ test_dump_cluster_state_timeout
distributed.tests.test_utils_test ‑ test_dump_cluster_state_unresponsive_local_worker
distributed.tests.test_utils_test ‑ test_dump_cluster_unresponsive_remote_worker
distributed.diagnostics.tests.test_install_plugin ‑ test_package_install_on_nanny
distributed.diagnostics.tests.test_install_plugin ‑ test_package_install_on_worker
distributed.shuffle.tests.test_rechunk ‑ test_calculate_prechunking_3d[old0-new0-expected0]
distributed.shuffle.tests.test_rechunk ‑ test_calculate_prechunking_3d[old1-new1-expected1]
distributed.shuffle.tests.test_rechunk ‑ test_calculate_prechunking_3d[old2-new2-expected2]
distributed.shuffle.tests.test_rechunk ‑ test_calculate_prechunking_3d[old3-new3-expected3]
distributed.shuffle.tests.test_rechunk ‑ test_calculate_prechunking_concatenation[1 B-expected0]
distributed.shuffle.tests.test_rechunk ‑ test_calculate_prechunking_concatenation[100 B-expected3]
distributed.shuffle.tests.test_rechunk ‑ test_calculate_prechunking_concatenation[20 B-expected1]
distributed.shuffle.tests.test_rechunk ‑ test_calculate_prechunking_concatenation[40 B-expected2]
…

♻️ This comment has been updated with latest results.

@hendrikmakait hendrikmakait force-pushed the use-rechunking-to-prerechunk branch from f709b3c to 6f7a107 Compare August 15, 2024 08:51
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A/B tests performed on coiled/benchmarks#1532 show a significant improvement in runtime for tests with small input chunks:

Screenshot 2024-08-19 at 09 49 32

As expected, we also see a significant increase in memory usage for those tests:
Screenshot 2024-08-19 at 09 49 40

The memory usage is still within very safe bounds.

Interestingly, we also see an increase in tiles_to_rows, once again within safe bounds:

Screenshot 2024-08-19 at 09 50 38

@hendrikmakait hendrikmakait marked this pull request as ready for review August 20, 2024 16:21
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phofl commented Aug 22, 2024

The memory usage is still within very safe bounds.

Could you quantify this a little?

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hendrikmakait commented Aug 22, 2024

The memory usage is still within very safe bounds.

Could you quantify this a little?

Average memory increases by 10%-30% of the original value.

@hendrikmakait hendrikmakait requested a review from phofl August 22, 2024 17:12
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@phofl: As discussed offline, I've extended the documentation. LMK if anything is still unclear.

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few very small comment, but lgtm now!

Thanks for the comments, that was very helpful

(
((2, 2), (1, 1, 1, 1), (1, 1, 1, 1)),
((1, 1, 1, 1), (2, 2), (2, 2)),
((2, 2), (2, 2), (2, 2)),
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This one worries me a little bit. the max input chunk is 2, max output chunk is 4 but the algorithm concatenates in a way that we end with 8, which is not great

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is the block size limit the upper bound here?

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distributed/shuffle/_rechunk.py Outdated Show resolved Hide resolved
# by trying dimensions in decreasing value / weight order.
def key(k: int) -> float:
gse = graph_size_effect[k]
bse = block_size_effect[k]
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Can you add a sentences what these 2 variables represent when you define them above? Took me a bit to figure this out

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Done

@hendrikmakait hendrikmakait requested a review from phofl August 23, 2024 11:29
@hendrikmakait hendrikmakait merged commit ea7d35c into dask:main Aug 23, 2024
24 of 32 checks passed
@hendrikmakait hendrikmakait deleted the use-rechunking-to-prerechunk branch August 23, 2024 12:49
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2 participants