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Add support for filter pushdown rule #924

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merged 21 commits into from
Dec 1, 2022

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ayushdg
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@ayushdg ayushdg commented Nov 16, 2022

This PR enables using the filter_pushdown_rule from datafusion and allows passing filters down to the tablescan operation.

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codecov-commenter commented Nov 18, 2022

Codecov Report

Merging #924 (acdab19) into main (6ae69a8) will increase coverage by 0.22%.
The diff coverage is 100.00%.

❗ Current head acdab19 differs from pull request most recent head 47eee60. Consider uploading reports for the commit 47eee60 to get more accurate results

@@            Coverage Diff             @@
##             main     #924      +/-   ##
==========================================
+ Coverage   75.81%   76.04%   +0.22%     
==========================================
  Files          73       73              
  Lines        4065     4082      +17     
  Branches      737      739       +2     
==========================================
+ Hits         3082     3104      +22     
+ Misses        823      814       -9     
- Partials      160      164       +4     
Impacted Files Coverage Δ
dask_sql/physical/rel/logical/table_scan.py 88.63% <100.00%> (+7.15%) ⬆️
dask_sql/_version.py 35.31% <0.00%> (+1.41%) ⬆️

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Comment on lines +160 to +165
[
[("a", "==", 1), ("b", "<", 10)],
[("a", "==", 1), ("b", ">", 5)],
[("b", ">", 5), ("b", "<", 10)],
[("a", "==", 1)],
],
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The latest version of datafusion applies some conversions that convert filters to a cnf like format. So the dnf here
(b > 5 AND b < 10) OR a = 1 gets remapped to
(b>5 or a=1) and (b<10 or a=1) by datafusion which becomes this is dnf
(b>5 and a=1) or (b<10 and a=1) or (b>5 and b<10) or (a=1) .

I don't know if there's an easy way to simplify these predicate expressions but some cases might lead to larger number of redundant filters because of this.

sarahyurick added a commit to sarahyurick/dask-sql that referenced this pull request Nov 30, 2022
@@ -11,7 +11,6 @@
14,
16,
18,
21,
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I looked into both these queries, for both it seems like they previously failed with metadata inference errors trying to do a comparison between a datetime64 and string object.

I'll open up another issue to investigate but in the meanwhile pushing those filters down to the io seems to fix the queries

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Digging into this before it seemed like the underlying issue was that we were at some point casting a column to Date32 and trying to compare to a Date32 scalar, but their dtypes didn't match up - not sure if that's helpful to make a simple reproducer for this

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ayushdg commented Dec 1, 2022

rerun tests

@ayushdg ayushdg merged commit cf719c5 into dask-contrib:main Dec 1, 2022
@ayushdg ayushdg deleted the support-filter-pushdown-rule branch February 6, 2023 19:16
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4 participants