ããã«ã¡ã¯ãTokyo Otaku Mode ã¨ã³ã¸ãã¢ã® shige ãã¨é岡ã§ãã ããã¹ãæ¸ãã¦ã¾ãï¼ã ããããããã¾ãâ¦â¦ã ããï¼ããªãã§ãã¹ãæ¸ããªãã®ï¼ã ããããã ã£ã¦ã¹ã¿ã¼ãã¢ããã§ãªã¼ã³ã§ã¢ã¸ã£ã¤ã«ãªéçºãµã¤ã¯ã«ãåãã¦ããããã¢ãã«ã«ã¬ã³ã¬ã³å¤æ´å ¥ã£ã¦â¦â¦ã ãããã ããªã¼ããã¹ããã¼ã¿ã®æºåã£ã¦é¢åã ããªã ãã㪠You ãã¡ã«æå ±ã§ããMongoose ã§ãã¹ããã¼ã¿ãç¨æãã Monky ã£ã¦ã©ã¤ãã©ãªããããã§ããããããç¡æã ã¨ããããã§ä»åã¯ãNode.js + Mongoose ã¨ããæ§æã§ãã¹ããã¼ã¿ã®æºåã楽ã«ãã¦ããã Monky ã¨ããã©ã¤ãã©ãªãç´¹ä»ãã¾ãã Monky ã¨ã¯ï¼Mongoose fixtures library inspired by factory_girl ã¤ã¾ããRuby on Rails çéã§æå㪠Factor
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In a previous series, I was attempting to break down building a full stack JavaScript application. I have since learned a great deal, and I want to go back and make improvements upon what was already covered before moving forward. This means the whole app will be restructured, so it might behoove you to start from scratch. This post will be at a slightly quicker pace than the previous three guides
MongoDBã§collectionåã®å¤æ´ã¯ãdb.copyDatabase(fromdb, todb, fromhost)ã使ãã¾ãã dbshell Reference - MongoDB MySLQã§ããã¼ãã«ã®ã³ãã¼ã¯ä»¥ä¸ã®SQLã«ç¸å½ãã¾ãã /* testãã¼ãã«ã®ã¹ãã¼ããã³ãã¼ãã¦ãã¼ãã«ä½æ */ > CREATE TABLE test2 LIKE test; /* test2ãã¼ãã«ã®ãã¼ã¿ãINSERT */ > INSERT INTO test2 SELECT * FROM test;testã¨ããdatabaseãtest2ã¨ãã¦ã³ãã¼ããæ¹æ³ã§ãã [root@xxx ~]# mongo MongoDB shell version: 2.0.4 connecting to: test > show dbs test 0.0625GB > db.copyData
Mongoose Relationships ... because sometimes embedded documents aren't enough. A plugin for Mongoose adding a simple syntax for model relationships and providing useful helpers to empower them. This is an early release with limited functionalities. I'm looking for feedback on the API and features (been exploring a few different solutions, nothing's impossible!). I'm inspiring from various librarie
Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. const mongoose = require('mongoose'); mongoose.connect('mongodb://127.0.0.1:27017/test'); const Cat = mongoose.model('Cat', { name: String }); const kitty = new Cat({ name: 'Zildjian' }); kitty.save().then(() => console.log('meow'));Mongoose provides a straight-forward, schema
==> Downloading https://downloads.sf.net/project/machomebrew/Bottles/mongodb-2.6.1.mavericks.bottle.tar.gz ######################################################################## 100.0% ==> Pouring mongodb-2.6.1.mavericks.bottle.tar.gz ==> Caveats To have launchd start mongodb at login: ln -sfv /usr/local/opt/mongodb/*.plist ~/Library/LaunchAgents Then to load mongodb now: launchctl load ~/Librar
After much playing around in the console, I came up with this method to group activerecord-like (Mongoid) objects by the day on which they occured. I'm not sure this is the best way to accomplish this, but it works. Does anyone have a better suggestion, or is this a good way to do it? #events is an array of activerecord-like objects that include a time attribute events.map{ |event| # convert event
ObjectIdåã®_idãåæ¹æ¤ç´¢ãã $whereã«ã¤ã㦠æ¤ç´¢æ¡ä»¶ã®æå®æ¹æ³ãããã Mongoidã®ã»ã¬ã¯ã·ã§ã³ä»¥å¤ã§ã®æå®æ¹æ³ aggregateã§group_byãã â ObjectIdåã®_idãåæ¹æ¤ç´¢ãã â¼ãµã³ãã«ãã¼ã¿ > db.members.find(); { "_id" : ObjectId("54daf7307da4107a3694f5af"), "name" : "hoge", "count" : 1, "status" : 1123, "created_at" : ISODate("2015-02-11T12:20:18.766Z"), "updated_at" : ISODate("2015-02-11T12:20:18.766Z"), "deleted_at" : 0 } MongoDBã®_idã¯ObjectIdåã«ãªãã®ã§ã åç´ã«ã/^54d/ã
I have model relationships like so: class User include Mongoid.Document has_many :favorite_shows end class FavoriteShow include Mongoid.Document belongs_to :user belongs_to :show end class Show include Mongoid.Document has_many :favorite_shows end FavoriteShow is a join table between users and shows with both the user_id and show_id as foreign keys. I keep getting the following error despite the f
I have see solutions to this sort of issue with 1:N, but they dont seem to read across to 1:1, this is using MongoDB 1.8, Mongoid 2.0.0.rc.8, Rails 3.0.5 class Coach include Mongoid::Document field :name, :type => String belongs_to :coached, :class_name => Team, :inverse_of => :coach, :foreign_key => "coach_id" belongs_to :assisted, :class_name => Team, :inverse_of => :assist, :foreign_key => "ass
New â Amazon EC2 M7a General Purpose Instances Powered by 4th Gen AMD EPYC Processors In November 2021, we launched Amazon EC2 M6a instances, powered by 3rd Gen AMD EPYC (Milan) processors, running at frequencies up to 3.6 GHz, which offer you up to 35 percent improvement in price performance compared to M5a instances. Many customers who run workloads that are dependent on x86 instructions, such a
ããã«ã¡ã¯ãTokyo Otaku Mode CTOã®é¢æ ¹ã§ãã Tokyo Otaku Modeã§ã¯ã2013å¹´8æããotakumode.comä¸ã«ã«ã¼ãæ©è½ã追å ãã決æ¸ã¾ã§ãã¯ã³ã¹ãããã§ã§ããæµ·å¤åãECãµã¤ããã¹ã¿ã¼ããã¾ããã ã©ãããã·ã¹ãã æ§æã§otakumode.comãéç¨ããã¦ããããèãããæããNode.js + MongoDBã§ããã¨çããã¨ãã¨ã³ã¸ãã¢ã®çããã¯ä¸æ§ã«ã³ã£ãããã¾ããç¹ã«é©ãããã®ããMongoDBãã¡ã¤ã³ã®DBã«ä½¿ç¨ãã¦ããç¹ã§ããä¿¡é ¼æ§ã«å®è©ãããããã§ãªããã¾ãNoSQLã«å¯¾ããã©ã¤ããªã¤ã¡ã¼ã¸ãä¸è¬çã«ãããããECãµã¤ãã®ãããã¯ã·ã§ã³ã¨ãã¦ä½¿ããã¨ã«çåãæããã¦ããæ¹ãå¤ãã®ã§ãããã ããããååå®ç¨ã«èããæ¥ã æ©è½è¿½å ãå ¥ãæé·ãç¶ããã¹ã¿ã¼ãã¢ããã®ç°å¢ã§ãå®éã«1å¹´ééç¨ãã¦ããECãµã¤ããããã«ãããã¨ãäºå®ã§ãã ã
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