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The following commit(s) were added to refs/heads/gh-pages by this push:
new 3cd728614a add Arrow Flight E2E Throughput (customBiggerIsBetter)
benchmark result for 490e57f2cc384581401f56aa9eafb5cd7af03d7d
3cd728614a is described below
commit 3cd728614ad2fd3098f6845f6c95e38654a1df87
Author: github-action-benchmark <[email protected]>
AuthorDate: Fri Aug 14 13:11:14 2026 +0000
add Arrow Flight E2E Throughput (customBiggerIsBetter) benchmark result for
490e57f2cc384581401f56aa9eafb5cd7af03d7d
---
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 ca3b164ba6..1eac8e7269 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1786626955288,
+ "lastUpdate": 1786713074867,
"repoUrl": "https://github.com/apache/texera";,
"entries": {
"Arrow Flight E2E Throughput": [
@@ -9059,6 +9059,163 @@ window.BENCHMARK_DATA = {
"unit": "tuples/sec"
}
]
+ },
+ {
+ "commit": {
+ "author": {
+ "name": "Kary Zheng",
+ "username": "kz930",
+ "email": "[email protected]"
+ },
+ "committer": {
+ "name": "GitHub",
+ "username": "web-flow",
+ "email": "[email protected]"
+ },
+ "id": "490e57f2cc384581401f56aa9eafb5cd7af03d7d",
+ "message": "feat(visualization): drop rows with missing values
before laying out a Dumbbell Plot (#7567)\n\n### What changes were proposed in
this PR?\n\nDumbbell Plot took the distinct values of the compared column and
sorted\nthem. An empty cell reaches the operator as `None`, so
`unique()`\nreturned a list with a `None` in it and `sorted` compared `None`
against\na string, ending the run with a TypeError.\n\nAn empty value is
ordinary input here. A blank CSV cell arrives as [...]
+ "timestamp": "2026-08-14T09:41:00Z",
+ "url":
"https://github.com/apache/texera/commit/490e57f2cc384581401f56aa9eafb5cd7af03d7d";
+ },
+ "date": 1786713074265,
+ "tool": "customBiggerIsBetter",
+ "benches": [
+ {
+ "name": "throughput / bs=10 sw=1 sl=8",
+ "value": 664.9762759157069,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=8",
+ "value": 1081.1971162075681,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=8",
+ "value": 1151.4445517113172,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=64",
+ "value": 823.0257028478497,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=64",
+ "value": 1080.5984141009733,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=64",
+ "value": 1159.6453751938552,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=512",
+ "value": 843.7287546594757,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=512",
+ "value": 1105.6266637430992,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=512",
+ "value": 1151.5580686906374,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=8",
+ "value": 706.3119515637567,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=8",
+ "value": 907.6398307207096,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=8",
+ "value": 932.9806936241408,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=64",
+ "value": 695.2600107507152,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=64",
+ "value": 876.1077010826394,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=64",
+ "value": 925.8040884405825,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=512",
+ "value": 728.1125775950894,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=512",
+ "value": 905.7632332882898,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=512",
+ "value": 910.8986726841576,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=8",
+ "value": 443.8223829924422,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=8",
+ "value": 514.2470235944218,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=8",
+ "value": 518.8311335885534,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=64",
+ "value": 444.8550204198408,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=64",
+ "value": 509.6327997362089,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=64",
+ "value": 505.026695038985,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=512",
+ "value": 434.1405057329711,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=512",
+ "value": 489.9113576682851,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=512",
+ "value": 483.9526967331646,
+ "unit": "tuples/sec"
+ }
+ ]
}
],
"Arrow Flight E2E Latency": [
