ci: raise the amber-integration timeout to 35 minutes (#9404)
### What changes were proposed in this PR?
The `amber-integration` job stopped at 25 minutes, but its macOS leg now
takes about 20 minutes on `main` and has reached 24:22. A slow runner or
one retried test is enough to cancel it, and a cancelled leg ends
Required Checks as cancelled; that happened at 097fecc56a ("The job has
exceeded the maximum execution time of 25m0s" at 25:10).
This PR raises the job's `timeout-minutes` from 25 to 35 and updates the
comment above it, which still said green runs take 9-17 minutes. A
Python UDF worker that hangs at startup, the case the timeout exists
for, still fails the job hours before GitHub's 6-hour cap.
### Any related issues, documentation, discussions?
Closes #9403.
### How was this PR tested?
- Durations: the macOS `amber-integration` job times of the Required
Checks push runs on `main` from 2026-11-05 to 2026-11-10. The 27 green
runs took a median of 20:00 and up to 24:22 (94aceba1fe); the one other
run, at 097fecc56a, hit the limit at 25:10.
- `build.yml` parses with PyYAML, and the only parsed difference from
`main` is the `amber-integration` job's `timeout-minutes`, 25 to 35.
- CI on this PR runs the changed job on both runners.
### Was this PR authored or co-authored using generative AI tooling?
Generated-by: Claude Code (Claude Opus 5.5)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Apache Texera (Incubating) is an open-source platform for human-AI collaborative data science using visual workflows. It enables human analysts to construct, execute, and refine data analysis tasks through an intuitive GUI, assisted by AI agents that understand natural-language instructions. Texera is well suited for a wide range of applications, including “AI for Science,” by making advanced AI and data science capabilities accessible to a broader community. It can run on a laptop for local use or be deployed in the cloud to support scalable processing of large datasets.
The platform has the following key features:
Please cite Texera as
@article{DBLP:journals/pvldb/WangHNKALLDL24, author = {Zuozhi Wang and Yicong Huang and Shengquan Ni and Avinash Kumar and Sadeem Alsudais and Xiaozhen Liu and Xinyuan Lin and Yunyan Ding and Chen Li}, title = {Texera: {A} System for Collaborative and Interactive Data Analytics Using Workflows}, journal = {Proc. {VLDB} Endow.}, volume = {17}, number = {11}, pages = {3580--3588}, year = {2024}, url = {https://www.vldb.org/pvldb/vol17/p3580-wang.pdf}, timestamp = {Thu, 19 Sep 2024 13:09:37 +0200}, biburl = {https://dblp.org/rec/journals/pvldb/WangHNKALLDL24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }