perf: Add microbenchmark for hash expressions #3028
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #3028 +/- ##
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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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LGTM, minor comment request.
| dir, | ||
| spark.sql(s""" | ||
| SELECT | ||
| CASE WHEN value % 100 = 0 THEN NULL ELSE CONCAT('string_', CAST(value AS STRING)) END AS c_str, |
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Same comment as in #3026
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 ... it's not obvious what the underlying values and math is hard.
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