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The following commit(s) were added to refs/heads/gh-pages by this push:
new a28a2639f6 add Arrow Flight E2E Throughput (customBiggerIsBetter)
benchmark result for b05b6206c031ebb1cd4fb7b5f1f318a28f5c51f7
a28a2639f6 is described below
commit a28a2639f65cdf9540d6ac5fcd4a991ddcf1a75d
Author: github-action-benchmark <[email protected]>
AuthorDate: Sat Oct 3 14:09:04 2026 +0000
add Arrow Flight E2E Throughput (customBiggerIsBetter) benchmark result for
b05b6206c031ebb1cd4fb7b5f1f318a28f5c51f7
---
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 b2a37322f3..7d32e780cc 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1790944939211,
+ "lastUpdate": 1791036544305,
"repoUrl": "https://github.com/apache/texera";,
"entries": {
"Arrow Flight E2E Throughput": [
@@ -16752,6 +16752,163 @@ 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": "b05b6206c031ebb1cd4fb7b5f1f318a28f5c51f7",
+ "message": "fix(licensing): drop the TMDb example dataset and list
the bundled Iris dataset in LICENSE (#8803)\n\n### What changes were proposed
in this PR?\n\nResolves #8799 in full:\n\n- **Drop the TMDb example
dataset**\n(`bin/single-node/examples/datasets/popular-movies-of-imdb/`) and
its\ndemo\nworkflow (`[Example] Data Exploration on Movies Dataset.json`).
The\ndataset\nis CC0 only per the Kaggle uploader; the data (including movie
overview\n text) comes from TMDb, whose [...]
+ "timestamp": "2026-10-03T10:22:02Z",
+ "url":
"https://github.com/apache/texera/commit/b05b6206c031ebb1cd4fb7b5f1f318a28f5c51f7";
+ },
+ "date": 1791036543520,
+ "tool": "customBiggerIsBetter",
+ "benches": [
+ {
+ "name": "throughput / bs=10 sw=1 sl=8",
+ "value": 1266.1964025045597,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=8",
+ "value": 2491.1210842648265,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=8",
+ "value": 2694.7628629805495,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=64",
+ "value": 1665.268608446855,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=64",
+ "value": 2608.8635341303384,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=64",
+ "value": 2664.358825198521,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=512",
+ "value": 1722.3697195539619,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=512",
+ "value": 2550.0760792120045,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=512",
+ "value": 2699.572271546399,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=8",
+ "value": 1430.6364234914604,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=8",
+ "value": 2024.2725157084985,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=8",
+ "value": 2089.5695019964865,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=64",
+ "value": 1555.6579610621145,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=64",
+ "value": 1996.0931275635821,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=64",
+ "value": 2041.407912482932,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=512",
+ "value": 1557.146813919646,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=512",
+ "value": 1974.422650183022,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=512",
+ "value": 2047.6758548071853,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=8",
+ "value": 873.15325276578,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=8",
+ "value": 1068.8746473534427,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=8",
+ "value": 1096.3056891330646,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=64",
+ "value": 919.370255444134,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=64",
+ "value": 1035.7570498941486,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=64",
+ "value": 1077.1006741706142,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=512",
+ "value": 849.3912270165898,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=512",
+ "value": 999.178811404933,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=512",
+ "value": 1031.2626111910713,
+ "unit": "tuples/sec"
+ }
+ ]
}
],
"Arrow Flight E2E Latency": [
