[PATCH] pullrequests: add support for custom pull request id prefix

Thomas De Schampheleire patrickdepinguin at gmail.com
Wed Apr 22 08:35:47 EDT 2015

On Wed, Apr 22, 2015 at 12:19 PM, Mads Kiilerich <mads at kiilerich.com> wrote:
> On 04/22/2015 09:58 AM, Thomas De Schampheleire wrote:
>> On Tue, Apr 21, 2015 at 4:37 PM, Mads Kiilerich <mads at kiilerich.com>
>> wrote:
>>> On 04/21/2015 10:19 AM, Thomas De Schampheleire wrote:
>>>> On Tue, Apr 21, 2015 at 3:21 PM, Mads Kiilerich <mads at kiilerich.com>
>>>> wrote:
>>>>> On 04/21/2015 06:20 AM, Thomas De Schampheleire wrote:
>>>>>> On Mon, Apr 20, 2015 at 11:35 PM, Mads Kiilerich <mads at kiilerich.com>
>>>>>> wrote:
>>>>>>>>> It is a bit weird that Kallithea pull request numbers are global.
>>>>>>>>> Especially
>>>>>>>>> in a site that is hosting repos for multiple independent users, it
>>>>>>>>> would
>>>>>>>>> make sense to have per repo numbering. Would that solve your case?
>>>>>>>>> Will
>>>>>>>>> your
>>>>>>>>> repos in the different instances be named differently?
>>>>>>>> No, the different instances would operate on the same repositories
>>>>>>>> with the same names (note that we're not using Kallithea for repo
>>>>>>>> hosting, it is a mirror).
>>>>>>> Using it as a mirror is fine ... but having multiple independent
>>>>>>> instances
>>>>>>> does not seem like something I can recommend. It would make more
>>>>>>> sense
>>>>>>> to
>>>>>>> have multiple servers on the same database in some failover
>>>>>>> loadbalancing
>>>>>>> setup.
>>>>>> The reason we planned doing such a setup is that the network
>>>>>> latency/bandwidth between sites is not always very good. If there is
>>>>>> one single Kallithea instance in a given site, the developers from
>>>>>> that site get a good experience, while the developers from a remote
>>>>>> site may suffer high latencies. With a local database + instance this
>>>>>> would be mitigated.
>>>>> We have local mirrors for the actual cloning - using
>>>>> https://bitbucket.org/Unity-Technologies/hgwebcachingproxy/commits/all
>>>>> and
>>>>> https://bitbucket.org/Unity-Technologies/dynapath/commits/branch/default
>>>>> .
>>>>> Are you sure you need locally hosted Kallithea instances for the web
>>>>> UI?
>>>>> Depending on the size of your changes and your workflow, the
>>>>> requirements
>>>>> for bandwidth and latency might not be that high. Especially not to
>>>>> justify
>>>>> the added complexity for users and admins for managing multiple
>>>>> instances.
>>>>>> Your suggestion of the same database and multiple Kallithea instances:
>>>>>> how exactly does this work? Is all locking in place? And since the
>>>>>> database is in one place: don't you suffer from the same network
>>>>>> latency issue?
>>>>> The database could perhaps be distributed, with one master for writing
>>>>> and
>>>>> local mirrors for reading. The database access pattern might however
>>>>> not
>>>>> be
>>>>> good for that; read only operations have too many writes.
>>>> What you mean here is that Kallithea is not yet fit for this model?
>>> Not really. I mean that there is a lot of things to consider and test
>>> with
>>> your latency and bandwidth and workload.
>> Let me restate my question: does Kallithea fully support having one
>> database with multiple frontends?
> Yes. No problems there. That is exactly like having multiple worker
> instances on the same machine.
> Only caveat is that if used in a load balancing system, you might want to
> make sure all the worker processes use the same cache store ... just like
> the file system with the repos of course should be the same.
>> Second question is: how do you suggest testing this? Do you mean just
>> clicking about, pulling/pushing, creating pull requests etc. to see
>> how responsive things are? Or is there a more objective way to test
>> things?
> Well ... hard to tell. More objective ways of testing would still have to
> prove that they were realistic. The best "test" is when the actual users are
> using it and are happy. Profiling and analyzing the actual performance can
> then help pointing out where the real bottlenecks are and thus suggest
> changes that have a real impact. Up front sizing is like sizing of other
> systems: any rules of thumb will only give a very rough estimation and
> either give under- or over-sizing for the actual workloads.
> One big problem for creating a fake load is to figure out what that load
> should be. In our case the size (and thus slowness) of the repo and the size
> of the PRs would matter ... and it would be important to have most of the
> users on slow connections. Still, I guess it could be nice to have such a
> tool, similar to apache "ab".

I initially did some measurements with 'siege' which is supposed to be
similar to ab, but had difficulty in interpreting the results, I had
nothing to compare with.

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