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The following commit(s) were added to refs/heads/gh-pages by this push:
new 2e84b14c33 add Arrow Flight E2E Throughput (customBiggerIsBetter)
benchmark result for cd4fd5a6d3845f0b7b478e1e86a31bb3151d4cd5
2e84b14c33 is described below
commit 2e84b14c338498bb5833f4ba44d3e36a24ecad06
Author: github-action-benchmark <[email protected]>
AuthorDate: Thu Sep 3 13:02:29 2026 +0000
add Arrow Flight E2E Throughput (customBiggerIsBetter) benchmark result for
cd4fd5a6d3845f0b7b478e1e86a31bb3151d4cd5
---
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 7b3815d38e..e476345d67 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1788354475978,
+ "lastUpdate": 1788440549902,
"repoUrl": "https://github.com/apache/texera",
"entries": {
"Arrow Flight E2E Throughput": [
@@ -12042,6 +12042,163 @@ window.BENCHMARK_DATA = {
"unit": "tuples/sec"
}
]
+ },
+ {
+ "commit": {
+ "author": {
+ "name": "Meng Wang",
+ "username": "mengw15",
+ "email": "[email protected]"
+ },
+ "committer": {
+ "name": "GitHub",
+ "username": "web-flow",
+ "email": "[email protected]"
+ },
+ "id": "cd4fd5a6d3845f0b7b478e1e86a31bb3151d4cd5",
+ "message": "fix(test, frontend): stub Plotly in the
execution-history spec (#8288)\n\n### What changes were proposed in this
PR?\n\n`workflow-execution-history.component.spec.ts` let
`ngAfterViewInit`\ncall the real `Plotly.newPlot` on every setup. 36 of its 61
tests build\nthe component, and each build plots twice, so one run drove
roughly 72\nreal Plotly renders through jsdom — for the benefit of a single
test.\n\nThat test then read `data` and `layout` back off the graph div [...]
+ "timestamp": "2026-09-03T12:29:26Z",
+ "url":
"https://github.com/apache/texera/commit/cd4fd5a6d3845f0b7b478e1e86a31bb3151d4cd5"
+ },
+ "date": 1788440549584,
+ "tool": "customBiggerIsBetter",
+ "benches": [
+ {
+ "name": "throughput / bs=10 sw=1 sl=8",
+ "value": 678.4028869092938,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=8",
+ "value": 1239.2372214784618,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=8",
+ "value": 1400.4235574019235,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=64",
+ "value": 896.8911446123711,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=64",
+ "value": 1349.2812796360863,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=64",
+ "value": 1428.7221480732496,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=512",
+ "value": 996.7199252961606,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=512",
+ "value": 1345.4631911514896,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=512",
+ "value": 1414.606905438459,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=8",
+ "value": 799.9739096509106,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=8",
+ "value": 1081.0163810235772,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=8",
+ "value": 1107.9240876777512,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=64",
+ "value": 791.0976027363015,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=64",
+ "value": 1082.386923274221,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=64",
+ "value": 1107.50627899911,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=512",
+ "value": 796.4644160849006,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=512",
+ "value": 1057.4391382777544,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=512",
+ "value": 1082.6760132938102,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=8",
+ "value": 468.62478565395196,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=8",
+ "value": 577.1877240212018,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=8",
+ "value": 583.2280321488195,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=64",
+ "value": 485.8047584808308,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=64",
+ "value": 577.6297096477534,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=64",
+ "value": 575.6674872950874,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=512",
+ "value": 456.0427864595869,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=512",
+ "value": 548.0664487242233,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=512",
+ "value": 556.1159500361754,
+ "unit": "tuples/sec"
+ }
+ ]
}
],
"Arrow Flight E2E Latency": [