[Haskell-cafe] Crossreferenced codebase for Stackage LTS 9.2 available

[Michael Snoyman]

Which Docker image did you use for building? The (inappropriately named but
hysterical raisins and all that) snoyberg/stackage Docker images are what
we use for doing the actual Stackage builds.

On Thu, Aug 31, 2017, 2:37 PM Robin Palotai <palotai.robin at gmail.com> wrote:

> Hi Niklas - sounds like a nice usecase.
>
> Though we need to make sure no usages are missing to make that decision
> (there are some edge cases yet, for example around TH splice application,
> or type families). Also it's only valid on the set of indexed packages.
>
> I'll merge later, but
> https://github.com/robinp/haskell-indexer/commit/0592c3d934515c4661c69c5b998e26a543b93b52
> has the changes necessary. Note:
> - It didn't index ~50 packages
> - For some it complained that C libs are missing (like SDL, though I was
> using the full stack-build Docker image)
> - I had to kill a few huge compilations that ate my RAM (Agda,
> language-python, and some yi packages)
>
> I would estimate 8-12 hours, but didn't follow closely (also it was idling
> quite some due to the huge compilations).
>
> By the way the per-package entries are available for download in a
> tarball, so if you just index your local packages and dump the entries
> along with those of your dependencies into the graphstore, you can get a
> ~full local index without reexecuting the whole indexing. In the future it
> would be nice to have tooling that magically fetches the pre-generated
> entries you need, and merges them locally.
>
> 2017-08-31 13:23 GMT+02:00 Niklas Hambüchen <mail at nh2.me>:
>
>> Hey Robin,
>>
>> This is really awesome and useful.
>>
>> I think it will help a lot to decide whether or not we can
>> change/deprecate a certain function, as now we can really easily judge
>> how many callers it has.
>>
>> How long does that take to generate?
>> And how did you run it to do it for all of Stackage?
>>
>> Thanks!
>>
>> On 31/08/17 06:41, Robin Palotai wrote:
>> > To find out who else uses your favorite functions and
>> > how: http://stuff.codereview.me/lts/9.2 .
>>
>
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