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The following commit(s) were added to refs/heads/gh-pages by this push:
new 0cb4b02d17 add Arrow Flight E2E Throughput (customBiggerIsBetter)
benchmark result for 7a38b6cf4c476e6f7ae0b0555fd711b50f4e85ec
0cb4b02d17 is described below
commit 0cb4b02d175cebff915110d4cc65cafb2c5e86fe
Author: github-action-benchmark <[email protected]>
AuthorDate: Fri Jun 26 13:39:10 2026 +0000
add Arrow Flight E2E Throughput (customBiggerIsBetter) benchmark result for
7a38b6cf4c476e6f7ae0b0555fd711b50f4e85ec
---
dev/bench/data.js | 159 +++++++++++++++++++++++++++++++++++++++++++++++++++++-
1 file changed, 158 insertions(+), 1 deletion(-)
diff --git a/dev/bench/data.js b/dev/bench/data.js
index cd0f9d7813..ebe7a1ab1b 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1782394911011,
+ "lastUpdate": 1782481150308,
"repoUrl": "https://github.com/apache/texera";,
"entries": {
"Arrow Flight E2E Throughput": [
@@ -1523,6 +1523,163 @@ window.BENCHMARK_DATA = {
"unit": "tuples/sec"
}
]
+ },
+ {
+ "commit": {
+ "author": {
+ "name": "Xinyuan Lin",
+ "username": "aglinxinyuan",
+ "email": "[email protected]"
+ },
+ "committer": {
+ "name": "GitHub",
+ "username": "web-flow",
+ "email": "[email protected]"
+ },
+ "id": "7a38b6cf4c476e6f7ae0b0555fd711b50f4e85ec",
+ "message": "test(workflow-operator): add unit test coverage for
Sklearn Naive Bayes descriptors (#5925)\n\n### What changes were proposed in
this PR?\n\nPin behavior of the four previously-untested Sklearn Naive
Bayes\nclassifier descriptors in `common/workflow-operator`. No
production-code\nchanges.\n\n| Spec | Source class | Tests |\n| --- | --- | ---
|\n| `SklearnBernoulliNaiveBayesOpDescSpec`
|\n`SklearnBernoulliNaiveBayesOpDesc` | 5 |\n|
`SklearnComplementNaiveBayesOpDescS [...]
+ "timestamp": "2026-06-26T08:35:47Z",
+ "url":
"https://github.com/apache/texera/commit/7a38b6cf4c476e6f7ae0b0555fd711b50f4e85ec";
+ },
+ "date": 1782481149782,
+ "tool": "customBiggerIsBetter",
+ "benches": [
+ {
+ "name": "throughput / bs=10 sw=1 sl=8",
+ "value": 576.2831696533727,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=8",
+ "value": 1057.980801264424,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=8",
+ "value": 1137.3852216752157,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=64",
+ "value": 790.2801231705785,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=64",
+ "value": 1111.5203714298443,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=64",
+ "value": 1157.032780695532,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=512",
+ "value": 774.8118030168804,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=512",
+ "value": 1105.0432581104042,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=512",
+ "value": 1149.5012724029139,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=8",
+ "value": 701.6727865900524,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=8",
+ "value": 902.2113741385191,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=8",
+ "value": 910.11474852682,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=64",
+ "value": 714.3834125958101,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=64",
+ "value": 907.9558607992127,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=64",
+ "value": 919.3675843529894,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=512",
+ "value": 672.693484104106,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=512",
+ "value": 875.8722583272764,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=512",
+ "value": 912.2551519701937,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=8",
+ "value": 445.8343681594853,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=8",
+ "value": 521.8282310352096,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=8",
+ "value": 525.0855178941647,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=64",
+ "value": 432.1230240317772,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=64",
+ "value": 511.94018652715624,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=64",
+ "value": 524.072749773277,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=512",
+ "value": 408.82635269861913,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=512",
+ "value": 493.63956918145755,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=512",
+ "value": 495.5842293231326,
+ "unit": "tuples/sec"
+ }
+ ]
}
],
"Arrow Flight E2E Latency": [
