That sounds really nice, exactly the way one wants it too I think :-)
Am Sonntag, 8. Februar 2015 20:37:43 UTC+1 schrieb tcrayford:
>
> Hi Sven,
>
> Right, but you want to push miniprofiler further down the app than that.
> For example, with datomic I have a yeller.datomic.instrumented namespace
> that exports the same vars as datomic.api, but wraps them in miniprofiler
> tracing. From the point of view of my application code, the only thing that
> changes is that you require a different namespace, which is significantly
> easier than littering trace calls everywhere.
>
> Does that help?
>
> Tom
>
> On Sunday, 8 February 2015 08:57:12 UTC, Sven Richter wrote:
>>
>> Hi Tom,
>>
>> I am not arguing about the performance impact here, however, it's nice to
>> know there hardly is one. My only concern is that the code reader has to
>> mentally parse away the trace calls, which puts a small burden on him and
>> which might be less if it was in some kind of a macro, fn or metadata.
>> However, I am still a clojure beginner and this was just one thing that
>> came to my mind when I saw it :-)
>>
>> Thanks,
>> Sven
>>
>> Am Samstag, 7. Februar 2015 22:16:04 UTC+1 schrieb tcrayford:
>>>
>>> Hi Sven,
>>>
>>> So typically I'd put that stuff *much* lower in the database layer -
>>> ideally as a wrapper around whatever database driver you're using, but that
>>> kind of idea is roughly right.
>>>
>>> I am considering releasing a set of libraries for miniprofiler that let
>>> it wrap e.g. a jdbc driver, redis clients, and so on. This is a clear case
>>> where having an interface or a protocol at the low level of the database
>>> driver really helps. That way you'd just import the library, tell it to
>>> wrap the connection and use it yourself. Would that be useful? Which
>>> database are you using?
>>>
>>> When miniprofiler isn't on, it has pretty minimal performance impact
>>> (apart from the fact that you're adding more code to your methods which can
>>> have implications for the JIT) - it's just a binding load and a nil? check,
>>> which is pretty quick. I leave that code in production for my app, and have
>>> done since July.
>>>
>>> Pushing the profiling information as low in the stack as possible, and
>>> leaving it on in production is a powerful combination - typically you never
>>> think about profiling or tracing whilst writing your code, but it's always
>>> there, even in production where you need it.
>>>
>>> Hope that helps,
>>>
>>> Tom
>>>
>>> On Saturday, 7 February 2015 08:21:31 UTC, Sven Richter wrote:
>>>>
>>>> Hi,
>>>>
>>>> I just tried it and it looks really useful if one wants to track down
>>>> speed bumps in web apps.
>>>>
>>>> I wonder if I understand the usege correctly, right now I did something
>>>> like this:
>>>>
>>>> (defn admin-page [params]
>>>> (let [users (cjmp/trace "all users" (db/get-all-users (get params
>>>> :filter)))]
>>>> (layout/render "user/admin.html" (merge {:users users :roles
>>>> available-roles}
>>>> params))))
>>>>
>>>>
>>>> I think this blows the code and one has to remove / add the trace
>>>> function everytime one wants to profile the code.
>>>> Maybe it would be an improvement if one could add some metadata to
>>>> functions which then would be profiled only in dev mode for example?
>>>>
>>>> Best Regards,
>>>> Sven
>>>>
>>>>
>>>> Am Mittwoch, 4. Februar 2015 14:21:28 UTC+1 schrieb tcrayford:
>>>>>
>>>>> Ack, minor date error there.
>>>>>
>>>>> I've been running Clojure Miniprofiler in production since July 2014,
>>>>> and it's proved both very stable, and extremely useful.
>>>>>
>>>>> On Wednesday, 4 February 2015 13:16:43 UTC, tcrayford wrote:
>>>>>>
>>>>>> Clojure Miniprofiler is a simple, but effective profiling tool for
>>>>>> your web application.
>>>>>>
>>>>>> It tells you what is slow about a web page both in production (for
>>>>>> admins only), and in development, as you load the page.
>>>>>>
>>>>>> It's a port of the original .Net library to Clojure, utilizing the
>>>>>> JavaScript and UI code that was originally written there.
>>>>>>
>>>>>> Read more about it here:
>>>>>>
>>>>>> http://yellerapp.com/opensource/clojure-miniprofiler.html
>>>>>>
>>>>>> And a sample performance debugging session is detailed here:
>>>>>>
>>>>>> http://yellerapp.com/posts/2015-02-04-miniprofiler.html
>>>>>>
>>>>>> I've been running Clojure Miniprofiler in production since July 2015,
>>>>>> and it's proved both very stable, and extremely useful.
>>>>>>
>>>>>
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