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github-actions[bot] pushed a commit to branch gh-pages
in repository https://gitbox.apache.org/repos/asf/texera.git
The following commit(s) were added to refs/heads/gh-pages by this push:
new f722ce9abd add Arrow Flight E2E Throughput (customBiggerIsBetter)
benchmark result for bcd0ec4f742264503114aa4388d82df8d35e9647
f722ce9abd is described below
commit f722ce9abdbfc44d7814456f4f6307ff5c39be2d
Author: github-action-benchmark <[email protected]>
AuthorDate: Mon Sep 28 13:08:39 2026 +0000
add Arrow Flight E2E Throughput (customBiggerIsBetter) benchmark result for
bcd0ec4f742264503114aa4388d82df8d35e9647
---
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 71f1b8928a..092becb7e1 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1790512895871,
+ "lastUpdate": 1790600919159,
"repoUrl": "https://github.com/apache/texera";,
"entries": {
"Arrow Flight E2E Throughput": [
@@ -15967,6 +15967,163 @@ 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": "bcd0ec4f742264503114aa4388d82df8d35e9647",
+ "message": "fix(deploy): load example datasets against the account's
real email (#8723)\n\n### What changes were proposed in this
PR?\n\n`bin/single-node/examples/load-examples.sh` derived the owner email
that\nfile-service matches dataset lookups against by
concatenating\n`@example.com`\nonto the username. On a single-node deployment
that never matches: the\nadmin\nseeded from `USER_SYS_ADMIN_USERNAME` has the
username itself as its\nemail\n(`AuthResource.createAdminUser`), so [...]
+ "timestamp": "2026-09-27T23:45:05Z",
+ "url":
"https://github.com/apache/texera/commit/bcd0ec4f742264503114aa4388d82df8d35e9647";
+ },
+ "date": 1790600918281,
+ "tool": "customBiggerIsBetter",
+ "benches": [
+ {
+ "name": "throughput / bs=10 sw=1 sl=8",
+ "value": 639.7012807911292,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=8",
+ "value": 1128.758957729712,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=8",
+ "value": 1185.0140662327422,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=64",
+ "value": 871.7353992566152,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=64",
+ "value": 1141.142431786939,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=64",
+ "value": 1210.9436720368064,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=512",
+ "value": 882.0711586156297,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=512",
+ "value": 1171.755710348228,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=512",
+ "value": 1195.4930442671393,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=8",
+ "value": 730.4670909394599,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=8",
+ "value": 932.162847883991,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=8",
+ "value": 967.1445138387782,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=64",
+ "value": 745.6288623591381,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=64",
+ "value": 936.288804572133,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=64",
+ "value": 959.2005509213792,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=512",
+ "value": 764.4771769312198,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=512",
+ "value": 921.117685721541,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=512",
+ "value": 952.4071484302754,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=8",
+ "value": 458.1139364895948,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=8",
+ "value": 532.4318759909007,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=8",
+ "value": 539.0518173236595,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=64",
+ "value": 467.91521020307647,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=64",
+ "value": 532.6551997431523,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=64",
+ "value": 521.3166290386822,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=512",
+ "value": 447.73768155328963,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=512",
+ "value": 511.3831145266115,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=512",
+ "value": 520.4846187909044,
+ "unit": "tuples/sec"
+ }
+ ]
}
],
"Arrow Flight E2E Latency": [
