Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/17018
Thanks - will keep an eye out to see if the time out errors are gone.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17018
I have a confirmation that it is increased to 90 mins now.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17018
I see. Sure. Just as a side note, if you download the log, it prints the
times.
In this case, it was so close assuming from the last log :).
```
[00:59:47] Windows-specific
Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/17018
Yeah asking them for 1.5hr seems like a good first step. We can also see
what fraction of time it takes for build vs. tests. I guess we can't make
builds faster without some effort, but we could
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17018
Ah, this one seems timed out because it exceeds the 1 hour limitation in
AppVeyor. It seems now R tests could take longer than an hour including the
build rarely.
This limit could be
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17018
Thanks for cc'ing me.
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17018
Let me run a build in my account to double check and create a JIRA with
cc'ing you if it is broken.
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Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/17018
Hmm I think this specific one timed out, so it might not be worth
investigating
https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark/build/824-master/messages
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Github user shivaram commented on the issue:
https://github.com/apache/spark/pull/17018
Just to clarify what I meant is that there was a similar error fixed due to
Hadoop / SQL issues by @HyukjinKwon in
https://github.com/apache/spark/pull/16927 - I'll see if this happens again and
Github user kayousterhout commented on the issue:
https://github.com/apache/spark/pull/17018
Ignored the appveyor failure based on advice from @shivaram that this was
broken by the SQL folks (and it does seem clearly unrelated to this PR), and
merged this into master. Thanks for the
Github user SparkQA commented on the issue:
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