workspace
stringclasses
4 values
channel
stringclasses
4 values
text
stringlengths
1
3.93k
ts
stringlengths
26
26
user
stringlengths
2
11
clojurians
clojure
stop this madness :scream:
2017-11-28T19:13:40.000102
Aldo
clojurians
clojure
<@Aldo> the docs specifically say it’s allowed… but it definitely *feels* weird
2017-11-28T19:20:50.000108
Margaret
clojurians
clojure
That's the thing about having a library that processes other people's code, it has to handle any possibility
2017-11-28T19:32:49.000111
Herlinda
clojurians
clojure
Hey all. If anyone else is interested in having official New Relic support for Clojure, please upvote my support ticket. :slightly_smiling_face: <https://discuss.newrelic.com/t/feature-idea-current-state-of-clojure-instrumentation/53105>
2017-11-28T19:43:14.000302
Elliott
clojurians
clojure
I’d prefer to see this done via their <http://opentracing.io|opentracing.io> compatibility. The opentracing api is pretty easy to deal with via java interop. I have been messing with a clojure wrapper as well, but pretty much it all converges to a `with-open` that opens the trace context, and some (still being debated) machinery to propagate tracing contexts in-process across threads and such.
2017-11-28T19:58:27.000195
Kyung
clojurians
clojure
<https://blog.newrelic.com/2017/09/13/distributed-tracing-opentracing/>
2017-11-28T20:02:29.000032
Kyung
clojurians
clojure
<@Kyung> Interesting. Thanks, will check it out
2017-11-28T20:05:08.000196
Elliott
clojurians
clojure
The downside to opentracing is how early it is. Elements of the api are not settled, like the in-process propagation thing I mentioned, but basic tracing is in place and multiple backends are available.
2017-11-28T20:23:29.000198
Kyung
clojurians
clojure
warning: clojure n00b here. i'm trying to process data from a gzipped file that has JSON documents concatenated together in it (no delimited, not even a newline). so far I have two functions that can gunzip the file and produce a reader. i've been trying to find ways to parse this into JSON. one idea is to process the character stream from the reader, keep track of curly braces and emit/print when the i'm at the appropriate place ("}{"). but I'm having a hard time keeping track of state in absence of mutable variables. another idea is to use something like re-find but it works only on strings. I don't want to read in the while file since the data I have is too large and I'd rather process it lazily since i plan to run this in aws lambda (limited memory). the functions I have so far (apart various broken experiments): ``` (defn in [f] (-&gt; (<http://clojure.java.io/input-stream|clojure.java.io/input-stream> f) (java.util.zip.GZIPInputStream.) (<http://clojure.java.io/reader|clojure.java.io/reader>))) (defn char-seq [^java.io.Reader rdr] (let [chr (.read rdr)] (if (&gt;= chr 0) (cons (char chr) (lazy-seq (char-seq rdr)))))) ``` i could make the process and algorithm work in python (very slow) but would prefer to use clojure. i've spent too much time (2 days) trying to figure out a way but no luck so far.. any pointers/advice at all would be greatly appreciated.
2017-11-28T21:16:42.000038
Kathe
clojurians
clojure
You're on the right track <@Kathe>! You have the reader all ready to go. Let's focus on the other half of the problem: parsing a series of JSON values (i.e. concatenated)
2017-11-28T21:25:26.000296
Guillermo
clojurians
clojure
Take an example of concatenated JSON and represent it not as a stream but as a string:
2017-11-28T21:26:08.000184
Guillermo
clojurians
clojure
```(def example "{}{}{}")```
2017-11-28T21:26:19.000059
Guillermo
clojurians
clojure
What you want at the end is a seq or vector like so:
2017-11-28T21:26:33.000218
Guillermo
clojurians
clojure
```(def expected [{}{}{}])```
2017-11-28T21:26:45.000101
Guillermo
clojurians
clojure
i.e. a clojure sequence of 3 empty, clojure, maps.
2017-11-28T21:27:11.000059
Guillermo
clojurians
clojure
To parse the example string, we want to turn this _back_ into a stream, because ~the~ most JSON parsers take a stream (i.e. java Reader) as their input. And you also said you want to parse this lazily.
2017-11-28T21:28:10.000049
Guillermo
clojurians
clojure
So import cheshire (a common JSON reading library):
2017-11-28T21:28:56.000054
Guillermo
clojurians
clojure
```user=&gt; (require '[cheshire.core :as json]) nil user=&gt; (doc json/parse-stream) ------------------------- cheshire.core/parse-stream ([rdr] [rdr key-fn] [rdr key-fn array-coerce-fn]) If multiple objects (enclosed in a top-level `{}' need to be parsed lazily, see parsed-seq. ```
2017-11-28T21:29:42.000226
Guillermo
clojurians
clojure
cheshire is ready :slightly_smiling_face:
2017-11-28T21:29:52.000255
Kathe
clojurians
clojure
I've elided some useless docs, and it's pointing us to `parsed-seq` for your/this use case.
2017-11-28T21:30:08.000146
Guillermo
clojurians
clojure
```user=&gt; (doc json/parsed-seq) ------------------------- cheshire.core/parsed-seq ([reader] [reader key-fn] [reader key-fn array-coerce-fn]) Returns a lazy seq of Clojure objects corresponding to the JSON read from the given reader. The seq continues until the end of the reader is reached. ```
2017-11-28T21:30:27.000241
Guillermo
clojurians
clojure
OK, we got wheels.
2017-11-28T21:30:37.000131
Guillermo
clojurians
clojure
Note that because it returns us a lazy seq, you'll have to consume it fully before closing the underlying Reader.
2017-11-28T21:31:26.000025
Guillermo
clojurians
clojure
Usually you close the reader when it leaves lexical scope, using `with-open`
2017-11-28T21:31:55.000059
Guillermo
clojurians
clojure
`(with-open [r (some-stream)] (do all the stuff))`
2017-11-28T21:32:13.000150
Guillermo
clojurians
clojure
(This doesn't mean you have to load the whole stream eagerly into memory, we'll still be mindful of efficiency)
2017-11-28T21:33:17.000203
Guillermo
clojurians
clojure
Typical ways to consume the seq fully are: 1. do some collection operations using the seq, and wrap that code in `doall` 2. `reduce` / `transduce` (collecting accumulation) 3. `doseq`
2017-11-28T21:35:21.000026
Guillermo
clojurians
clojure
4. `(into [])` or `vec` wrapping collection operations (variation of 1.)
2017-11-28T21:36:02.000204
Guillermo
clojurians
clojure
Ok... so to make this concrete let's parse that example above. (I'll leave the task of glueing it to the GZipReader to you)
2017-11-28T21:37:05.000242
Guillermo
clojurians
clojure
``` user=&gt; (with-open [r (java.io.StringReader. example)] (vec (json/parsed-seq r))) [{} {} {}] ```
2017-11-28T21:38:22.000019
Guillermo
clojurians
clojure
``` user=&gt; (= *1 expected) true ```
2017-11-28T21:39:18.000175
Guillermo
clojurians
clojure
<@Guillermo> thank you so much! this is very educational. that `parsed-seq` function is great. that combined with one of the 4 things you listed should do the trick. i'm trying to digest what you said and seeing some light. i'll come back after a little while after I've tried a few things.. thank you again.
2017-11-28T21:45:02.000223
Kathe
clojurians
clojure
ya <@Kathe>. clojure is stupidly fun
2017-11-28T21:45:24.000121
Guillermo
clojurians
clojure
enjoy
2017-11-28T21:45:41.000282
Guillermo
clojurians
clojure
it is but it's incredibly humbling too.
2017-11-28T21:46:56.000034
Kathe
clojurians
clojure
i really like how you built that small example to test and show the idea.
2017-11-28T21:47:54.000207
Kathe
clojurians
clojure
my brain needs to be disinfected of procedural thinking. unlearning is hard.
2017-11-28T21:51:35.000108
Kathe
clojurians
clojure
i don't know whether to be happy or be sad... after hours upon hours of frustration, all of it works in just a couple of lines.
2017-11-28T22:14:51.000142
Kathe
clojurians
clojure
you're awesome! <@Guillermo>
2017-11-28T22:15:06.000115
Kathe
clojurians
clojure
<@Kathe> I think one of the things with Clojure is that simplicity is king. If you're struggling with a problem and your code seems overly complex, then there's probably a much simpler, more idiomatic solution :slightly_smiling_face:
2017-11-28T22:31:31.000042
Daniell
clojurians
clojure
i'll keep that in mind.
2017-11-28T22:35:27.000034
Kathe
clojurians
clojure
on that a related question. i don't have any local user group or colleagues who do clojure. i was super frustrated, had a headache on, dozens of tabs open and what not.. and had no one I could ask. normally I hesitate to bother but i find that my progress is also super slow. when is it appropriate (or inappropriate) to come ask for help here?
2017-11-28T22:40:26.000008
Kathe
clojurians
clojure
<@Kathe> <#C053AK3F9|beginners>
2017-11-28T23:19:22.000107
Cecile
clojurians
clojure
sounds like the place for me. thanks <@Cecile>
2017-11-28T23:31:17.000136
Kathe
clojurians
clojure
Edit: Sorry I notice that there's a dedicated aws-lambda channel, I'll move my question there
2017-11-29T04:13:37.000030
Marvin
clojurians
clojure
i see that there's brandon bloom's backtick lib, but is there any way to make clojure not impose namespaces on syntax-quoted forms?
2017-11-29T12:01:31.000563
Willow
clojurians
clojure
qualifying symbols with a namespace is half of the point of syntax quote
2017-11-29T12:03:19.000490
Aldo
clojurians
clojure
you can always regular quote the symbols you don't want syntax quoted ``` `(~'a) =&gt; (a) ```
2017-11-29T12:04:07.000359
Aldo
clojurians
clojure
i need it without it to send to datomic
2017-11-29T12:04:25.000109
Willow
clojurians
clojure
so all of the unification symbols have to be marked. quite a pain and ugly
2017-11-29T12:11:48.000666
Willow
clojurians
clojure
``` `[:find [(~'pull ~'?task ~tasks/task-shape) ...] :in ~'$ ~'?docref :where [~'?task :property1 ~'?docref] [~'?task :property2 ~'?tc] [~'?tc :tags "tag"]] ```
2017-11-29T12:12:26.000086
Willow
clojurians
clojure
why not use regular quote?
2017-11-29T12:14:19.000438
Aldo
clojurians
clojure
the tasks/task-shape. I'm trying to put the query for what a task looks like in one place and then let others query against this common shape however they like
2017-11-29T12:14:47.000415
Willow
clojurians
clojure
oh I see you're using one var in there
2017-11-29T12:14:50.000239
Aldo
clojurians
clojure
so i need to resolve
2017-11-29T12:14:52.000759
Willow
clojurians
clojure
yeah
2017-11-29T12:14:53.000342
Willow
clojurians
clojure
probably easiest to build it up in pieces I guess, but yeah bit annoying ``` [:find [`(~'pull ~'?task ~tasks/task-shape) ...] :in '$ '?docref :where '[?task :property1 ?docref] '[?task :property2 ?tc] '[?tc :tags "tag"]] ```
2017-11-29T12:17:29.000410
Aldo
clojurians
clojure
yeah good point. use the vectors and keywords to my advantage. still not sold on it. gonna roll it around a bit
2017-11-29T12:18:08.000166
Willow
clojurians
clojure
<@Willow> it seems like it would be easier to just not use ` at all there ```[:find [(list 'pull '?task tasks/task-shape) ...] :in '$ ?docref :where '[?task :property1 :docref] '[?task :property2 ?tc] '[?tc :tags "tag"]]```
2017-11-29T12:19:49.000789
Margaret
clojurians
clojure
<@Willow> I just use <https://github.com/gfredericks/misquote/blob/master/src/misquote/core.clj> for that.
2017-11-29T12:20:57.000415
Randee
clojurians
clojure
thanks. that's looking the cleanest so far. just makes me nervous that this stuff just silently and happily fails on datomic if its namespaced. i'm deciding which is worse the super important syntax or the duplication of the structure
2017-11-29T12:20:58.000095
Willow
clojurians
clojure
thanks <@Randee> i saw bblooms backtick as well. any reason to choose one over the other that you know of? I think i saw brandon handles gensyms but not sure how important that is for my purposes
2017-11-29T12:22:38.000255
Willow
clojurians
clojure
<@Willow> Not sure, but I use the above for exactly that purpose: Creating datomic queries. It works well. Though I changed it slightly to make Cursive happy
2017-11-29T12:23:34.000535
Randee
clojurians
clojure
well thanks for the suggestion. gonna mull on it
2017-11-29T12:23:49.000437
Willow
clojurians
clojure
<@Willow> Here the full example: <https://gist.github.com/rauhs/d2575e77e6e063ae94abbd9f1bca226d>
2017-11-29T12:25:04.000640
Randee
clojurians
clojure
are type hints (in clojure) used only to avoid introspection?
2017-11-29T14:02:04.000360
Merrie
clojurians
clojure
yes, type hints are only to avoid reflection
2017-11-29T14:03:46.000506
Raul
clojurians
clojure
or is there some way to enforce them, apart from `{:pre [(instance? MyRecord arg)]}`?
2017-11-29T14:04:03.000434
Merrie
clojurians
clojure
if you're interested in enforcing types, you should probably consider spec or plumatic schema
2017-11-29T14:04:36.000413
Raul
clojurians
clojure
or pre/post/raw assertions, if you're only using them on occasion
2017-11-29T14:05:00.000319
Raul
clojurians
clojure
I use spec, but I also have a bunch of defrecords hanging around, wanted to squeeze some extra value out of those
2017-11-29T14:05:47.000228
Merrie
clojurians
clojure
right now I am getting familiar with a module in an app, and sprinkling type hints all over fn signatures helps to understand teh mess, also IDE's "show usages"
2017-11-29T14:07:48.000676
Merrie
clojurians
clojure
but it seems like specs is the ultimate way to go, if records are not really used for extending protocols, etc.
2017-11-29T14:08:38.000493
Merrie
clojurians
clojure
Spec is the way to go with this stuff. You can turn it on and off. I think you are going to regret extensive manual assertions and hints.
2017-11-29T14:09:14.000065
Guillermo
clojurians
clojure
getting decent spec coverage and "infrastructure" is a project in itself, though
2017-11-29T14:09:30.000666
Merrie
clojurians
clojure
it can be a lot of work, but pays off immensely
2017-11-29T14:09:51.000152
Guillermo
clojurians
clojure
yeah, agree on manual assertions
2017-11-29T14:09:57.000006
Merrie
clojurians
clojure
esp. wrt generative testing
2017-11-29T14:10:01.000130
Guillermo
clojurians
clojure
True
2017-11-29T14:10:04.000118
Merrie
clojurians
clojure
A :: map B :: set I want to remove all (k,v) pairs from A where k is in B is the best way to do this `(apply dissoc A B)` or is there a more efficient way ?
2017-11-29T14:38:29.000362
Berry
clojurians
clojure
<@Berry> `(reduce dissoc A B)`
2017-11-29T14:43:34.000105
Owen
clojurians
clojure
reduce won't perform better here
2017-11-29T14:44:30.000084
Kareen
clojurians
clojure
``` user=&gt; (def A {:a 1 :b 2 :c 3}) #'user/A user=&gt; (def B #{:a :c}) #'user/B user=&gt; (time #_=&gt; (dotimes [_ 1000000] #_=&gt; (reduce dissoc A B) #_=&gt; )) "Elapsed time: 120.139233 msecs" nil user=&gt; (time #_=&gt; (dotimes [_ 1000000] #_=&gt; (apply dissoc A B) #_=&gt; )) "Elapsed time: 335.459923 msecs" ```
2017-11-29T14:47:11.000189
Owen
clojurians
clojure
interesting
2017-11-29T14:50:32.000390
Kareen
clojurians
clojure
I would imagine that with a larger sized B apply would evenually win, as the vararg version can iterate over the coll w/o having to pay an invocation price
2017-11-29T14:51:19.000383
Kareen
clojurians
clojure
yeah seems heavily dependent on the size of A and B
2017-11-29T14:51:55.000486
Aldo
clojurians
clojure
but maybe the seq path is that much slower than the native reduce of sets
2017-11-29T14:51:59.000470
Kareen
clojurians
clojure
from the peanut gallery over here: neither choice will/should dominate in your codebase
2017-11-29T14:52:43.000577
Guillermo
clojurians
clojure
``` (def s1 (range 1000000)) (def s2 (map #(* 2 %) (range 500000))) (def m (into {} (for [x s1] [x x]))) (time (do (apply dissoc m s2) nil)) (time (do (reduce dissoc m s2) nil)) ``` I'm not getting a noticable difference
2017-11-29T14:53:18.000154
Berry
clojurians
clojure
you're measuring cold code on the JVM
2017-11-29T14:54:18.000267
Guillermo
clojurians
clojure
need some JITing action to make a better benchmark
2017-11-29T14:54:37.000057
Guillermo
clojurians
clojure
yeah, using criterium bench now
2017-11-29T14:54:51.000569
Berry
clojurians
clojure
i'm still getting used to the concept of having to 'warmup' the system first
2017-11-29T14:55:16.000435
Berry
clojurians
clojure
``` (def s1 (range 1000000)) (def s2 (map #(* 2 %) (range 500000))) (def m (into {} (for [x s1] [x x]))) (cc/quick-bench (do (apply dissoc m s2) nil)) (comment Execution time mean : 456.384541 ms Execution time std-deviation : 69.565195 ms Execution time lower quantile : 411.034707 ms ( 2.5%) Execution time upper quantile : 545.198448 ms (97.5%) Overhead used : 2.943666 ns) (cc/quick-bench (do (reduce dissoc m s2) nil)) (comment Execution time mean : 469.385020 ms Execution time std-deviation : 83.522059 ms Execution time lower quantile : 393.009549 ms ( 2.5%) Execution time upper quantile : 546.717419 ms (97.5%) Overhead used : 2.943666 ns) ```
2017-11-29T14:57:00.000008
Berry
clojurians
clojure
what surprises me most: (apply dissoc ...) doesn't cause a stack overflow for having so many args on the 'stack frame'
2017-11-29T14:58:03.000101
Berry
clojurians
clojure
I can explain that
2017-11-29T14:58:27.000069
Aldo
clojurians
clojure
<https://github.com/clojure/clojure/blob/master/src/jvm/clojure/lang/IFn.java>
2017-11-29T14:58:50.000057
Aldo
clojurians
clojure
after 20 arguments they just get shoved in an array
2017-11-29T14:59:00.000500
Aldo
clojurians
clojure
lol, there's something hilarious about that code
2017-11-29T15:00:08.000094
Berry
clojurians
clojure
with criterium not seeing any cases where `apply` version outperforms `reduce` version
2017-11-29T15:05:52.000170
Owen