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24. $ npm install mongodb # ãã©ã¤ãã¼ã®ã¤ã³ã¹ãã¼ã« $ vi index.js $ node index.js # å®è¡ { name: 'matsukaz', _id: 51f7efbed66a41de0f000001 } var MongoClient = require("mongodb").MongoClient; var url = "mongodb://127.0.0.1:27017/db1"; var data = {name : "matsukaz", age : 34}; // ä½æãããã¼ã¿ MongoClient.connect(url, function(err, db) { // æ¥ç¶ var userColl = db.collection("user"); userColl.save(data, function(err) { /
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Sharding is a method for distributing data across multiple machines. MongoDB uses sharding to support deployments with very large data sets and high throughput operations. Database systems with large data sets or high throughput applications can challenge the capacity of a single server. For example, high query rates can exhaust the CPU capacity of the server. Working set sizes larger than the sys
How and why to use django-mongokit (aka. Django to MongoDB) Here I'm going to explain how to combine Django and MongoDB using MongoKit and django-mongokit. MongoDB is a document store built for high speed and high concurrency with a very good redundancy story. It's an alternative to relational databases (e.g. MySQL) that is what Django is tightly coupled with in it's ORM (Object Relation Mapping)
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