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LIKE %pat% is something that occurs a lot in SQL queries. It's also one of the slower queries in the ClickBench benchmarks.
Results:
like_utf8 scalar contains
time: [1.9803 ms 1.9828 ms 1.9853 ms]
change: [-71.755% -71.321% -70.997%] (p = 0.00 < 0.05)
Performance has improved.
Found 3 outliers among 100 measurements (3.00%)
1 (1.00%) low mild
2 (2.00%) high mild
Benchmarking nlike_utf8 scalar contains: Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 9.9s, enable flat sampling, or reduce sample count to 40.
Benchmarking nlike_utf8 scalar contains: Collecting 100 samples in estimated 9.9 nlike_utf8 scalar contains
time: [1.9413 ms 1.9448 ms 1.9488 ms]
change: [-71.544% -71.455% -71.344%] (p = 0.00 < 0.05)
Performance has improved.
Found 10 outliers among 100 measurements (10.00%)
1 (1.00%) low mild
6 (6.00%) high mild
3 (3.00%) high severe
Benchmark runs are scheduled for baseline = b3fd4bd and contender = e80f647. e80f647 is a master commit associated with this PR. Results will be available as each benchmark for each run completes.
Conbench compare runs links:
[Skipped ⚠️ Benchmarking of arrow-rs-commits is not supported on ec2-t3-xlarge-us-east-2] ec2-t3-xlarge-us-east-2
[Skipped ⚠️ Benchmarking of arrow-rs-commits is not supported on test-mac-arm] test-mac-arm
[Skipped ⚠️ Benchmarking of arrow-rs-commits is not supported on ursa-i9-9960x] ursa-i9-9960x
[Skipped ⚠️ Benchmarking of arrow-rs-commits is not supported on ursa-thinkcentre-m75q] ursa-thinkcentre-m75q
Buildkite builds:
Supported benchmarks:
ec2-t3-xlarge-us-east-2: Supported benchmark langs: Python, R. Runs only benchmarks with cloud = True
test-mac-arm: Supported benchmark langs: C++, Python, R
ursa-i9-9960x: Supported benchmark langs: Python, R, JavaScript
ursa-thinkcentre-m75q: Supported benchmark langs: C++, Java
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Which issue does this PR close?
Closes #2519
Rationale for this change
LIKE %pat%is something that occurs a lot in SQL queries. It's also one of the slower queries in the ClickBench benchmarks.Results:
What changes are included in this PR?
Are there any user-facing changes?