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# This is a skeleton for testing models including examples of validations, callbacks, | |
# scopes, instance & class methods, associations, and more. | |
# Pick and choose what you want, as all models don't NEED to be tested at this depth. | |
# | |
# I'm always eager to hear new tips & suggestions as I'm still new to testing, | |
# so if you have any, please share! | |
# | |
# @kyletcarlson | |
# | |
# This skeleton also assumes you're using the following gems: |
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# assuming Model is your model and options is a json/jsonb column. | |
# This uses the Postgres json append || operator. | |
# And wraps the option inside an array. | |
# producing [{},{}] multiple hashes inside a top level json array. | |
# It is very important that the hash is [{}] NOT {} as not having the array on the | |
# outside will cause the hash to replace the contents instead of appending to them. | |
new_option = [{ | |
name: option_name, |
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{ | |
"blekinge": [ | |
"Blekinge", | |
{ | |
"name": "Karlshamn", | |
"slug": "karlshamn" | |
}, | |
{ | |
"name": "Karlskrona", | |
"slug": "karlskrona" |
This gist will collects all issues we solved with Rails 5.2 and Webpacker
# Last few parameters(--skip-* part) is only my habbit not actully required
$ rails new <project_name> --webpack=stimulus --database=postgresql --skip-coffee --skip-test
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http://stackoverflow.com/questions/22667401/postgres-json-data-type-rails-query | |
http://stackoverflow.com/questions/40702813/query-on-postgres-json-array-field-in-rails | |
#payload: [{"kind"=>"person"}] | |
Segment.where("payload @> ?", [{kind: "person"}].to_json) | |
#data: {"interest"=>["music", "movies", "programming"]} | |
Segment.where("data @> ?", {"interest": ["music", "movies", "programming"]}.to_json) | |
Segment.where("data #>> '{interest, 1}' = 'movies' ") | |
Segment.where("jsonb_array_length(data->'interest') > 1") |
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class Book < Airrecord::Table | |
class Endorser < Airrecord::Table | |
self.base_key = "" | |
self.table_name = "Endorser" | |
end | |
self.base_key = "" | |
self.table_name = "Books" | |
has_many :endorsements, class: 'Book::Endorser', column: 'Endorsements' |
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// PhantomJS Cheatsheet | |
$ brew update && brew install phantomjs // install PhantomJS with brew | |
phantom.exit(); | |
var page = require('webpage').create(); | |
page.open('http://example.com', function() {}); | |
page.evaluate(function() { return document.title; }); |
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#This is a really simple script: | |
##Grab the list of members of a Facebook group (no paging as yet...) | |
#Lets you do things like http://blog.ouseful.info/2012/12/05/emergent-social-interest-mapping-red-bull-racing-facebook-group/ | |
###For each member, try to grab their Likes | |
#USAGE | |
#> python fbLinksGrabber.py -group GROUPID -typ THING -FBTOKEN ETC | |
#THING is one of groups, likes, books etc | |
Moved to git repository: https://github.com/denji/nginx-tuning
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon
with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
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