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The following commit(s) were added to refs/heads/gh-pages by this push:
new 6d2f67031f add Arrow Flight E2E Throughput (customBiggerIsBetter)
benchmark result for dda9e830f54e0fa74dcf0fd5d41a3c2e1a0c989c
6d2f67031f is described below
commit 6d2f67031f72058759e84369768ede412f79769f
Author: github-action-benchmark <[email protected]>
AuthorDate: Thu Jul 23 13:20:18 2026 +0000
add Arrow Flight E2E Throughput (customBiggerIsBetter) benchmark result for
dda9e830f54e0fa74dcf0fd5d41a3c2e1a0c989c
---
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 434437b6da..3a26260e11 100644
--- a/dev/bench/data.js
+++ b/dev/bench/data.js
@@ -1,5 +1,5 @@
window.BENCHMARK_DATA = {
- "lastUpdate": 1784729839758,
+ "lastUpdate": 1784812818752,
"repoUrl": "https://github.com/apache/texera";,
"entries": {
"Arrow Flight E2E Throughput": [
@@ -5762,6 +5762,163 @@ 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": "dda9e830f54e0fa74dcf0fd5d41a3c2e1a0c989c",
+ "message": "ci: discover staged Codecov flags instead of a hardcoded
matrix (#6824)\n\n### What changes were proposed in this PR?\n\nFollow-up to
#6730. The deferred `Codecov Upload` workflow hardcoded all\n11 flags in its
matrix and tried to download each from the source run.\nOn a label-gated PR —
e.g. a frontend-only PR that only stages\n`codecov-frontend` — the other 10
legs hit `##[error] Artifact not found\nfor name: codecov-<flag>`, which looks
like a name mismatch; and [...]
+ "timestamp": "2026-07-23T11:58:13Z",
+ "url":
"https://github.com/apache/texera/commit/dda9e830f54e0fa74dcf0fd5d41a3c2e1a0c989c";
+ },
+ "date": 1784812818154,
+ "tool": "customBiggerIsBetter",
+ "benches": [
+ {
+ "name": "throughput / bs=10 sw=1 sl=8",
+ "value": 740.3941279719312,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=8",
+ "value": 1327.34922200536,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=8",
+ "value": 1426.2210084645144,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=64",
+ "value": 931.3537187138081,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=64",
+ "value": 1337.2460181876393,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=64",
+ "value": 1434.6042761826702,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=1 sl=512",
+ "value": 984.1163478756008,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=1 sl=512",
+ "value": 1378.1282900726353,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=1 sl=512",
+ "value": 1401.5637406755343,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=8",
+ "value": 787.9436204529286,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=8",
+ "value": 1082.2138450178036,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=8",
+ "value": 1123.9441530058398,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=64",
+ "value": 819.8364455231408,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=64",
+ "value": 1066.7288959893574,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=64",
+ "value": 1111.564596477707,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=10 sl=512",
+ "value": 806.7706178129666,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=10 sl=512",
+ "value": 1052.7448356747257,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=10 sl=512",
+ "value": 1101.7568793258167,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=8",
+ "value": 497.9128341688243,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=8",
+ "value": 580.1329550400349,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=8",
+ "value": 586.900172957913,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=64",
+ "value": 479.1918267683038,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=64",
+ "value": 572.8631372938198,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=64",
+ "value": 575.9417584892051,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=10 sw=50 sl=512",
+ "value": 463.8210077773729,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=100 sw=50 sl=512",
+ "value": 546.001519084662,
+ "unit": "tuples/sec"
+ },
+ {
+ "name": "throughput / bs=1000 sw=50 sl=512",
+ "value": 554.5441300324028,
+ "unit": "tuples/sec"
+ }
+ ]
}
],
"Arrow Flight E2E Latency": [
