mongodbphp, mongodb
php tutorial | php manual mongodb php tutorial-php manual mongodb php, mongodb simple mobile phone mall app source code download, kernel compilation and installation of ubuntu, qq friend data crawler, keywords for creating objects in php programs, seo nail art lzw First install the extension, and then you can use mongodb beautiful real estate source code, ubuntu native wallpaper download, anti-reptile school recruitment, popen php, Yangchun foreign trade seolzwA, connect to the databasedelphi excel source code download, ubuntu system copy, tomcat The browser is opened, the reptile software is punished, php declares an empty object, seolzw try { $mOngo= new MongoClient(); $db = $mongo->mydb; var_dump($db);} catch (MongoConnectionException $e) { echo $e->getMessage();} This code can connect to the mydb database, if the database does not exist, it will be created automatically. B, create a collection try { $mOngo= new MongoClient(); $db = $mongo->mydb; $mycol = $db- >createCollection(‘mycol’); var_dump($mycol);} catch (MongoConnectionException $e) { echo $e->getMessage();} This code can create the collection mycol. C. Inserting documents Insert() is used in mongodb to insert documents. try { $mOngo= new MongoClient(); $db = $mongo->mydb; $mycol = $db->mycol; $document = array(‘name’ => ‘test1’ , ‘ sex’ => ‘formale’ , ‘age’ => 20); $res = $mycol->insert($document); var_dump($res);}…
MongoDB, Java and Object-Relational Mapping
Introduction to MongoDB There are many contenders in the NoSQL space today that address massive data problems in a variety of ways. One of the important solutions is MongoDB. MongoDB is a document-oriented weakly structured storage solution that uses JSON format to display, query and modify data. MongoDB is fairly well documented, and scaling is as easy as installing. It provides support for concepts such as redundancy, slicing, indexing, and map/reduce. The open source community for MongoDB is very large and very active. MongoDB is actually used in many large products, such as: Disney, Craigslist, Foursquare, Github and SourceForge. MongoDB is an open source project built and maintained by 10gen.com, a company founded by former DoubleClick executives. At the same time, 10gen also provides excellent business support and participation in construction. MongoDB vs. NoSQL: Pitfalls and Strengths MongoDB has many advantages as an available NoSQL solution. I just started to get in touch with the nosql database and learned about a series of Java-based solutions, and spent a lot of time understanding what is a column family, the relationship between Hadoop and HBase, and what ZooKeeper is. When I finally got it all clear, I found that Cassandra and HBase…
MongoDB, Java, and ORMs
Introduction to MongoDB There are many competing NoSQL products that are used in different ways, but all of them can solve big data problems very well. MongoDB is one of the very good products. MongoDB is a document-oriented, schema-free storage solution that uses JSON-style documents to display, query, and modify data. MongoDB is well documented, easy to install and set up, and easy to scale. It supports the well-known concepts of replication, sharding, indexing, and Map/Reduce. The MongoDB open source community is large and active. MongoDB is proud that large, high-traffic production environments including Disney, Craigslist, Foursquare, Github, and SourceForge have deployed MongoDB. MongoDB is an open source project created and maintained by 10gen.com, a company founded by former DoubleClick executives. In addition to actively participating in community support, 10gen also provides commercial support. Advantages and disadvantages of MongoDB and NoSQL As a NoSQL solution, the advantage of MongoDB is that it is easy to use. During my first deep dive into NoSQL databases, after trying a lot of Java-based solutions, I found that figuring out what a column family is family), what is the relationship between Hadoop and HBase, and what exactly is ZooKeeper is very time-consuming. When I…
MongoDB, HandlerSocket and MySQL performance test
1. Test environment 1. Test server status A total of 4 test servers are involved: Stress test server Web server MongoDB server MySQL server. The machine configuration is: CPU: Intel(R) Core(TM)2 Duo CPU E7200 @ 2.53GHz RAM: 8G DDR2 667 Disk: SATA Operating system: Redhat 5.5 1. Stress test server Install Webbench 1.5, and press the Web server through Webbench. 2. Web server Nginx 0.8.54 + PHP 5.3.3 (php-fpm), the php driver with Mongodb and HandlerSocket installed. The php driver of Mongodb is: mongodb-mongo-php-driver-1.1.1-19-gc584231.tar.gz The php driver of HandlerSocket is: php-handlersocket-0.0.7.tar.gz Call Mongodb and HandlerSocket through Php program. 3. MongoDB server MongoDB version: 1.6.5 4. MySQL server MySQL version: 5.1.53 HandlerSocket version: 1.0.6-60-gf51e061 MySQL storage engine: Innodb, adjust the Thread Pool Size of innodb to 2G 2. Test program and test data extraction 1. In order to avoid opening the connection and the Http server becoming a bottleneck, in the test program, it is set to share the same connection for every 1000 requests, and at the same time, it is set to execute 1000 data requests for each page request. 2. Test data, including QPS, CPU, IO, etc., from commands provided by the operating system (such as vmstat, iostat,…
