perf: Add microbenchmark for comparison expressions#3026
Merged
andygrove merged 6 commits intoapache:mainfrom Jan 6, 2026
Merged
perf: Add microbenchmark for comparison expressions#3026andygrove merged 6 commits intoapache:mainfrom
andygrove merged 6 commits intoapache:mainfrom
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #3026 +/- ##
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+ Coverage 56.12% 59.55% +3.43%
- Complexity 976 1379 +403
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Files 119 167 +48
Lines 11743 15496 +3753
Branches 2251 2569 +318
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+ Hits 6591 9229 +2638
- Misses 4012 4970 +958
- Partials 1140 1297 +157 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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mbutrovich
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Jan 6, 2026
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mbutrovich
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Just a minor comment request.
| dir, | ||
| spark.sql(s""" | ||
| SELECT | ||
| CASE WHEN value % 10 = 0 THEN NULL ELSE CAST((value % 100000) - 50000 AS INT) END AS c_int, |
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Would you add a succinct comment that gives a high level summary of the data distribution you're trying to create? We can certainly read through the CASE WHEN logic, but some are % 10 and others % 50 and it's not obvious what the underlying values and math is hard.
This was referenced Jan 6, 2026
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Which issue does this PR close?
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How are these changes tested?