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11
clojurians
clojure
my component creates the handler function, and passes it to the function that starts the http server (along with some middleware that the component also creates)
2017-11-04T17:18:38.000044
Margaret
clojurians
clojure
<@Margaret> ok, so in my case, I should just make Mongo a dependency of the Pedestal component, and any time such a handler is invoked which requires mongo (eg in case of a "list of products" JSON REST service), pass in the Mongo connection ?
2017-11-04T17:22:42.000045
Lieselotte
clojurians
clojure
yeah - and in fact you can pass in a subset of the component map - at some point you might also need a postgres connection, or some initialized resource
2017-11-04T17:23:37.000103
Margaret
clojurians
clojure
<@Margaret> hm. two problems with that. 1. In Pedestal, I'm not in a very direct relationship with the handler.. I mean there is a router in between, etc. So simply I don't see how I could pass the connection (or component) down the chain so it finally reaches that method where it is needed. 2. Actually MongoDb is not a dependency of my Pedestal component, but of my business logic. Eg just because Pedestal is restarted for some reason, there is no reason to also restart the MongoDb component
2017-11-04T17:28:43.000054
Lieselotte
clojurians
clojure
I've never seen any reason to restart components piecemeal - it's fast enough that I just restart the whole thing. You can pass values that handlers need by attaching them to the request before it hits the router.
2017-11-04T17:30:10.000019
Margaret
clojurians
clojure
the job of the component system is to ensure that all the states are coherent - starting and stopping as one big system is part of what makes that work
2017-11-04T17:30:53.000026
Margaret
clojurians
clojure
<@Margaret> ok, then I'll try to make it work this way :slightly_smiling_face: thanks!
2017-11-04T17:35:34.000028
Lieselotte
clojurians
clojure
<@Margaret> btw I'm also new to Mongo, is actually sharing a connection recommended? or should a connection be built up on every request?
2017-11-04T17:41:45.000005
Lieselotte
clojurians
clojure
(I mean http request here)
2017-11-04T17:42:09.000079
Lieselotte
clojurians
clojure
hm the <https://github.com/danielsz/system/blob/master/src/system/components/mongo.clj> creates a connection on component start, so I guess this is intended to be shared accross all users/requests (I was just wondering if there is sort of a similar thing like that's connection pooling to RDBMSs)
2017-11-04T17:44:18.000007
Lieselotte
clojurians
clojure
ah ok, according to <http://clojuremongodb.info/articles/connecting.html> monger does connection pooling inside, so I can just use my single "connection" and this will get pooled by the library itself
2017-11-04T17:47:09.000054
Lieselotte
clojurians
clojure
I need help optimizing this numeric clojure code. input: float array of size n output: float array of size (- n 1) where each output[i] = input[i] + input[i+1] ``` (def n 1000000) (def x (float-array (range n))) (def y (float-array (- n 1))) (doseq [i (range (- n 1))] (aset y i (float (+ (aget x i) (aget x (+ i 1)))))) ``` I'm on a GHz machine. loading + adding + storing 1M numbers should not take 10s of seconds how do I type hint / unbox / all types of crazy things ot make this fast ?
2017-11-04T18:15:24.000019
Berry
clojurians
clojure
<@Berry> no idea, but this benchmarking library is probably useful <https://github.com/hugoduncan/criterium>
2017-11-04T18:17:14.000076
Lieselotte
clojurians
clojure
```(doseq [i (range (- n 1))] (aset-float y i (+ (aget ^floats x i) (aget ^floats x (+ i 1)))))```
2017-11-04T18:24:33.000021
Jonas
clojurians
clojure
that’s a lot faster
2017-11-04T18:24:38.000029
Jonas
clojurians
clojure
there’s probably still room for improvement
2017-11-04T18:24:49.000089
Jonas
clojurians
clojure
<@Berry>
2017-11-04T18:24:57.000050
Jonas
clojurians
clojure
as an aside,```(float-array (map (fn [a b] (+ a b)) x (rest x)))```
2017-11-04T18:39:13.000102
Jonas
clojurians
clojure
<@Jonas>: that reduced runtime by about 99%
2017-11-04T18:39:15.000107
Berry
clojurians
clojure
seems to work pretty well
2017-11-04T18:39:17.000046
Jonas
clojurians
clojure
(the aset-float, ^floats solution)
2017-11-04T18:39:31.000045
Berry
clojurians
clojure
the `map` version I think is a little more straightforward
2017-11-04T18:39:53.000079
Jonas
clojurians
clojure
albeit, slightly slower
2017-11-04T18:40:15.000015
Jonas
clojurians
clojure
but not nearly as as slow as the initial `doseq` version
2017-11-04T18:40:36.000025
Jonas
clojurians
clojure
```(def y (float-array (map (fn [a b] (+ a b)) x (rest x))))```
2017-11-04T18:41:17.000061
Jonas
clojurians
clojure
this is my fault for not clarifying this upfront, but I really have to modify an existing float-array (the 'posed problem' was a 'minimal case' of my 'actual problem'), so (float-array ... (map ... )) won't work
2017-11-04T18:41:41.000131
Berry
clojurians
clojure
the best so far is your solution of: ``` (doseq [i (range (- n 1))] (aset-float y i (+ (aget ^floats x i) (aget ^floats x (+ i 1))))) ```
2017-11-04T18:41:58.000085
Berry
clojurians
clojure
I wonder if there is a way to know of the + has boxing/unboxing involved
2017-11-04T18:42:12.000023
Berry
clojurians
clojure
<@Berry> some info straight from alex miller: <http://insideclojure.org/2014/12/15/warn-on-boxed/>
2017-11-04T18:43:35.000080
Willow
clojurians
clojure
so now we're at: ``` (set! *unchecked-math* :warn-on-boxed) (def n 100000000) (def x (float-array n)) (def y (float-array (- ^long n 1))) (doseq [i (range (- ^long n 1))] (aset-float y i (+ (aget ^floats x i) (aget ^floats x (+ ^long i 1))))) ``` and the remaining thing to do is to call disassemble and see what's goingon there
2017-11-04T18:46:25.000091
Berry
clojurians
clojure
unfortunately, disassemble is throwing an exception right now
2017-11-04T18:52:29.000057
Berry
clojurians
clojure
<@Berry> As an alternative, you could also consider writing this performance-critical section in Java and calling it via interop. (Passing on a suggestion from this channel not too long ago.)
2017-11-04T18:57:22.000004
Araceli
clojurians
clojure
I'm getting an error in my Datomic setup that I'm not being able to get around. Here's what I have, a transactor running, a console connected to this transactor and a peer server connected to the same transactor. Whenever I try to connect to the peer server from the bin/repl found in the Datomic installation directory it works fine, here's an example output: ``` user=&gt; (require '[clojure.core.async :refer (&lt;!!)] '[datomic.client :as client]) nil user=&gt; (&lt;!! (client/connect {:db-name "clj-twitter" :account-id client/PRO_ACCOUNT :secret "mysecret" :region "none" :endpoint "localhost:8998" :service "peer-service" :access-key "myaccesskey"})) #object[datomic.client.impl.types.Connection 0x2a235b8e "#datomic.client.impl.types.Connection[{:t 63, :next-t 1000, :account-id \"00000000-0000-0000-0000-000000000000\", :db-name \"clj-twitter\", :db-id \"datomic:dev://localhost:4334/clj-twitter\", :timeout 60000}]"] ``` But it doesn't work that well when I try the same from the REPL inside my project: ``` user=&gt; (require '[clojure.core.async :refer (&lt;!!)] #_=&gt; '[datomic.client :as client]) 2017-11-04 21:21:22.610:INFO::nREPL-worker-0: Logging initialized @9976ms nil user=&gt; (&lt;!! (client/connect {:db-name "clj-twitter" #_=&gt; :account-id client/PRO_ACCOUNT #_=&gt; :secret "mysecret" #_=&gt; :region "none" #_=&gt; :endpoint "localhost:8998" #_=&gt; :service "peer-service" #_=&gt; :access-key "myaccesskey"})) ClassNotFoundException org.eclipse.jetty.util.thread.NonBlockingThread java.net.URLClassLoader.findClass (URLClassLoader.java:381) ``` One thing I noticed is that the REPL from the Datomic installation directory is using Clojure 1.9.0-alpha15, while my project is using Clojure 1.8.0. Does anyone knows or have an idea of what I'm possibly doing wrong?
2017-11-04T19:39:26.000001
Ahmad
clojurians
clojure
<@Ahmad> I haven't worked with Datomic, so I can't speak to that. But, in the past when I've encountered `ClassNotFoundException`, it's because I had my classpath set up incorrectly one way or another.
2017-11-04T20:02:55.000053
Araceli
clojurians
clojure
<@Ahmad> What build tool are you using? Have you declared all the appropriate dependencies as required by the documentation that you're following?
2017-11-04T20:04:03.000017
Araceli
clojurians
clojure
<@Araceli> I think it's somehow related to my dependencies, some sort of conflict between versions, because I just created a new leiningen project and it worked there. I have also found some Stack Overflow questions and old conversations from the <#C03RZMDSH|datomic> channel where another person were facing the same problem
2017-11-04T20:08:00.000036
Ahmad
clojurians
clojure
It seems to be related to ring as I'm also using it in my project and the fact that it uses Jetty on a certain version...
2017-11-04T20:10:03.000038
Ahmad
clojurians
clojure
<@Ahmad> I see. In that case, you may need to bump up some versions. Although, of course, that has other effects on the project as a whole.
2017-11-04T20:12:43.000055
Araceli
clojurians
clojure
<@Araceli> I don't think I can, my dependencies are at latest versions
2017-11-04T20:17:52.000031
Ahmad
clojurians
clojure
<@Ahmad> That is a bit unexpected, then. Sorry, but it doesn't match what I've seen, so I don't think I know how to help you, unfortunately.
2017-11-04T20:18:47.000059
Araceli
clojurians
clojure
<@Araceli> I have an idea, I'm inspecting the dependency tree of a new leiningen project from which the connection works and then I will compare it to the dependency tree of my project with lein deps :tree
2017-11-04T20:21:51.000048
Ahmad
clojurians
clojure
And, if it turns out a transitive dependency is resolving to a different version than what works, you can always explicitly pin it.
2017-11-04T20:22:33.000015
Araceli
clojurians
clojure
<@Araceli> Oh, by the way no problem, I appreciate your attention :)
2017-11-04T20:22:58.000038
Ahmad
clojurians
clojure
The problem in, for example, NodeJS land is that, sometimes, _there does not exist a set of mutually compatible versions for some sets of dependencies_. For what it's worth, Java land I feel like has been better about this on average.
2017-11-04T20:23:34.000044
Araceli
clojurians
clojure
I still have to learn how that thing you mentioned works
2017-11-04T20:23:35.000030
Ahmad
clojurians
clojure
If there is a transitive dependency (not directly declared in your dependencies, but pulled in as a result of what was directly declared) that needs to be at a specific version, you can pin it (declare it explicitly, at the version needed, in your dependencies).
2017-11-04T20:25:01.000057
Araceli
clojurians
clojure
<@Araceli> Oh, now it makes sense. Merging what you said with what I'm seeing in the comparison of both dependency trees. It seems that the `ring/ring-jetty-adapter` dependency in my project contains a transitive dependency as you said to `org.eclipse.jetty/jetty-io` which is also used by `com.datomic/clj-client`, but because it was already available for ring it was not downloaded for datomic.
2017-11-04T20:33:05.000048
Ahmad
clojurians
clojure
Hopefully, you can find a version that makes everything happy.
2017-11-04T20:33:42.000013
Araceli
clojurians
clojure
Yup, I had to add a `:exclusions` modifier for `org.eclipse.jetty/jetty-io` and it worked fine. Thanks for the help <@Araceli>!
2017-11-04T20:46:02.000019
Ahmad
clojurians
clojure
You're welcome. Actually, thank you for explaining, because I learned something new there, also.
2017-11-04T20:46:53.000027
Araceli
clojurians
clojure
:)
2017-11-04T20:47:11.000030
Ahmad
clojurians
clojure
<@Berry> instead of aset in a doseq, use amap or areduce for performance
2017-11-04T21:05:08.000088
Margaret
clojurians
clojure
<@Margaret>: in the full problem. I am modifying an existing float-array -- amap is out of the question; also, areduce only returns one item right?
2017-11-04T21:06:18.000002
Berry
clojurians
clojure
an array is one item, but areduce will walk an array input faster than doseq will
2017-11-04T21:06:48.000057
Margaret
clojurians
clojure
have you tried using your same array as the ret in amap?
2017-11-04T21:07:24.000050
Margaret
clojurians
clojure
it should work
2017-11-04T21:07:30.000015
Margaret
clojurians
clojure
generalized seq-oriented code is not going to be as fast as array specific code for the kind of thing you are doing
2017-11-04T21:08:03.000048
Margaret
clojurians
clojure
<@Margaret>: this is my fault, my general problem is: I have matrices A, B, C I have a function f I want each eleme of A[i, j] to be repalced with f(A[i-1, j], A[i, j-1], B[i, j], C[i, j]) I don't think areduce / amap is right for this I posted a much simpler questino (for which areduce/amap works fine) mainly to learn how to do 'numeric unboxing stuff' in clojure
2017-11-04T21:08:51.000015
Berry
clojurians
clojure
honestly beyond some very simple levels of complexity, just write some java
2017-11-04T21:09:35.000047
Margaret
clojurians
clojure
if unboxing matters that much, it's easier
2017-11-04T21:09:44.000076
Margaret
clojurians
clojure
yeah; I'm seriously considering doing part clojure + part scala (this problem arises from dealing with a scala library in particular)
2017-11-04T21:10:21.000035
Berry
clojurians
clojure
also a multi-dimensional array is an array of arrays right? so you just need nested array ops
2017-11-04T21:10:29.000016
Margaret
clojurians
clojure
the library I'm using has blas / vectorized tensor ops
2017-11-04T21:10:52.000042
Berry
clojurians
clojure
OK - what's the actual type?
2017-11-04T21:11:02.000081
Margaret
clojurians
clojure
unfortunately, I'm doing something dynamic-programmikng ish, where A[i,j] dedpends on A[i-1, j] A[i, j-1]
2017-11-04T21:11:07.000041
Berry
clojurians
clojure
"actual type?' &lt;-- I don't get what you are asking
2017-11-04T21:11:46.000008
Berry
clojurians
clojure
like what does (type A) return. I would assume `[[F`
2017-11-04T21:16:36.000022
Margaret
clojurians
clojure
so that you would use `(aget A 0 0)` to get the first item, etc.
2017-11-04T21:17:18.000015
Margaret
clojurians
clojure
Hey folks, I'm trying to understand how to wrap `ServerSocketChannel` with `core.async`... can someone point me towards the right direction?
2017-11-04T23:57:35.000005
Carly
clojurians
clojure
for side-effecty looping, does clojure have something faster than ``` (doseq [i (range n)] ...) ``` or is that the standard, optimal way to od it?
2017-11-05T01:41:25.000012
Berry
clojurians
clojure
run!
2017-11-05T01:41:52.000053
Weston
clojurians
clojure
I can't believe <https://clojuredocs.org/clojure.core/run!is> a real function -- somehow I've managed to never hear of it all these years
2017-11-05T01:43:38.000045
Berry
clojurians
clojure
I’d expect `loop`/`recur` to be the fastest way available, as it should be closer to the metal than other options built on reduce etc… If performance matters so much measure it, it might be negligible in practice, and reduce/run! etc will probably be nicer.
2017-11-05T06:54:21.000037
Magdalena
clojurians
clojure
any compojure api users here? what's the url supposed to be if you want to send a query param set? specifying {id :- [Long] []} for "query?id=0&amp;id=1=3" works fine but expecting a set, i.e. {id :- #{Long} #{}} gives me "{:id (not (set? ["0" "1" "3"]))}
2017-11-05T12:59:30.000070
Douglass
clojurians
clojure
the documentation on that is ridiculously thin or I just can't find the right place
2017-11-05T12:59:54.000119
Douglass
clojurians
clojure
if I'm doing tensor math, should I just accept that any pure clj+java solution is going to be about 10x slower than C ?
2017-11-05T13:00:51.000076
Berry
clojurians
clojure
``` (cc/quick-bench (let [n (* 10 1000 1000) z (float-array n)] (doseq [^long i (range 1 n)] (aset-float z i (float i))))) ``` results in: ``` Evaluation count : 6 in 6 samples of 1 calls. Execution time mean : 514.302217 ms Execution time std-deviation : 1.078130 ms Execution time lower quantile : 512.321577 ms ( 2.5%) Execution time upper quantile : 515.160140 ms (97.5%) Overhead used : 2.944295 ns ``` does this seem right 10M aset-float takes 500ms ==&gt; each aset-float takes 50ns ? this seems a bit high, as I expect, on a GHz CPU, for each aset-float to take about 1ns
2017-11-05T13:09:59.000092
Berry
clojurians
clojure
<@Berry> remember what I said about amap? on my machine that benches 405ms, and this benches 26 ms ``` (let [n (* 10 1000 1000) z (float-array n) indexes (range 1 n)] (cc/quick-bench (amap z i r (float i))))```
2017-11-05T13:24:58.000030
Margaret
clojurians
clojure
<@Berry> it does the same thing, 20 times faster, you rejected what I was saying without even trying it
2017-11-05T13:26:28.000032
Margaret
clojurians
clojure
notice that I don't need to use r or z - for your math where you need to look at other indexes of the array, r and z are there (plus i to do math on for index math) - it's much more general than you think
2017-11-05T13:27:26.000062
Margaret
clojurians
clojure
<@Margaret>: I tried it just now; $&amp;@($#* amap is fast
2017-11-05T13:27:40.000061
Berry
clojurians
clojure
maybe you'll listen next time
2017-11-05T13:27:49.000082
Margaret
clojurians
clojure
:slightly_smiling_face:
2017-11-05T13:28:00.000051
Berry
clojurians
clojure
not sure if it matters, but the two different snippets aren’t measuring the same thing
2017-11-05T13:28:06.000034
Jonas
clojurians
clojure
one is creating the float array in the benchmark, while the other is not
2017-11-05T13:28:18.000013
Jonas
clojurians
clojure
<@Jonas> it's a silly refactor I can undo :smile:
2017-11-05T13:28:26.000062
Margaret
clojurians
clojure
yea, i don’t think it would change the results too much
2017-11-05T13:28:41.000053
Jonas
clojurians
clojure
I also benchmarked that refactor on the original, it makes it slower
2017-11-05T13:28:43.000083
Margaret
clojurians
clojure
or more likely ,the difference was less than epsilon haha
2017-11-05T13:29:55.000123
Margaret
clojurians
clojure
yeah, my quick bench says pulling the quick-bench to the outside again adds .2 ms to the run time
2017-11-05T13:30:38.000057
Margaret
clojurians
clojure
great oracle of <@Margaret>, can you show me how to make this code faster too? (note that computing a[i] depends on a[i-1] which makes me unsure how to use amap) ``` (cc/quick-bench (let [n (* 100 1000 1000) dst (float-array n) out (float-array n)] (aset out 0 (aget ^floats dst 0)) (aset out 1 (aget ^floats dst 1)) (aset out 2 (aget ^floats dst 2)) (doseq [^long i (range 3 n)] (aset out i (min (+ (aget ^floats dst (- i 0)) (aget ^floats out (- i 2))) (+ (aget ^floats dst (- i 1)) (aget ^floats out (- i 1))) (+ (aget ^floats dst (- i 2)) (aget ^floats out (- i 0)))))))) ``` my current bench output is: ``` Evaluation count : 6 in 6 samples of 1 calls. Execution time mean : 1.578544 sec Execution time std-deviation : 21.633538 ms Execution time lower quantile : 1.548456 sec ( 2.5%) Execution time upper quantile : 1.599705 sec (97.5%) Overhead used : 2.944295 ns ```
2017-11-05T13:38:00.000131
Berry
clojurians
clojure
<@Berry> like I said, the bindings i, r, z allow you to access index, original, output respectively - you can do math on i and do an array lookup on r or z
2017-11-05T13:38:36.000089
Margaret
clojurians
clojure
the weird part is starting on item index 3, you'll need a conditional clearly (or maybe just copy the input back to the first 4 indexes of the output, to skip the conditional on each iteration)
2017-11-05T13:40:46.000082
Margaret
clojurians
clojure
<@Margaret>: amap just sped up my code by a factor of 10. I'm not sure what you could have done to get me to take amap seriously earlier, but I'm glad you kept repeating it.
2017-11-05T13:56:36.000007
Berry
clojurians
clojure
i thought part of the problem was that it doesn’t modify the array in place
2017-11-05T13:58:54.000016
Jonas
clojurians
clojure
you can do that inside amap - if you want to
2017-11-05T13:59:19.000082
Margaret
clojurians
clojure
maybe areduce is better if that is what you are trying to do actually
2017-11-05T13:59:34.000080
Margaret
clojurians
clojure
nobody says the accumulated value maintained by areduce can't be the input
2017-11-05T13:59:46.000040
Margaret
clojurians
clojure
alternatively `amap` is only like 10 lines of code
2017-11-05T14:00:12.000100
Jonas
clojurians
clojure
```(defmacro amap "Maps an expression across an array a, using an index named idx, and return value named ret, initialized to a clone of a, then setting each element of ret to the evaluation of expr, returning the new array ret." {:added "1.0"} [a idx ret expr] `(let [a# ~a ~ret (aclone a#)] (loop [~idx 0] (if (&lt; ~idx (alength a#)) (do (aset ~ret ~idx ~expr) (recur (unchecked-inc ~idx))) ~ret))))```
2017-11-05T14:00:15.000016
Jonas