mongodb vs mysql performance

: Using Mongodb.bson;Using Mongodb.driver; To perform data operations, first instantiate a mongoclient var client = new Mongoclient ("mongodb://127.0.0.1:27017"); Then create DATABASE and collection var database = client. Getdatabase ("foo");var collection = database. Getcollection Then we can try to insert a piece of data, the code is as follows var document = new Bsondocument{{"Name", "SQL Server

Label:MySQL and MongoDB are common open source databases, but MySQL is a traditional relational database, MongoDB is a non-relational database, also known as a document database, is a NoSQL database. They each have their own merits, the key is to see where to use. Take our company project for example, in the early project, all in the use of relational database, u

This is a creation in Article, where the information may have evolved or changed. Performance test Report for Kingshard Before the several blog, to everyone to share is Kingshard (Https://github.com/flike/kingshard) architecture and design. In fact, many people are also very concerned about the performance of Kingshard. Recently enthusiastic Netizen Bigpyer has done the detailed

Mysql performance optimization configuration parameters and mysql performance optimization parameters To modify the values of the following parameter configuration items, refer1. connection settingsShow variables like '% max_connection % ';Show status like '% Max_used_connections % ';Max_used_connections/max_connection

function similar to Redis, Memcached, and other KV features: Compared with MySQL, MonoDB is simpler and faster. Modifier is also a container that MongoDB can use to track user behavior. In practice, Modifier is used to quickly save user interaction behaviors to MongoDB for later statistical analysis and customization. 5. All attribute types support indexes and e

determine the speed of MongoDB query.Conclusion1. Li Yun's cloud host has made certain restrictions that result. Regardless of setting the system, the configuration of the database, all. Cannot break through. An order of magnitude of QPS.2. The number of client CPU cores determines the speed of MongoDB queries.3.tcp limit passed. Walk inside. Nets can be avoided.4.linux OS beats windows. So the

query performance is that there is too much data to access. Most poorly performing queries can be optimized by reducing the amount of data accessed.1. Verify that the application is retrieving a large amount of data than is needed. This usually means that too many rows have been accessed, but sometimes it is possible to access too many columns.2. Verify that the MySQL server layer is analyzing a large numb

We always see our advantages and disadvantages in the comparison, which is the same for mongodb. the comparison study allows us to master the basic knowledge about mongodb as soon as possible. Comparison between mongodb and mysql commands relational databases generally refer to databases and tables. we always see their

similar functions as KV Redis and memcached: simpler and faster than MYSQL,MONODB. Modifier is also a container that MongoDB can be tracked for user behavior. In practice, modifier is used to quickly save user interaction behavior to MongoDB for later statistical analysis and personalized customization. 5. All attribute types support indexes, even arrays: this

system very wellHow to use indexes to speed up retrieval while targeting optimized indexes.Optimizer profileThe MongoDB database Profiler is a slow query log feature that can be used as a basis for optimizing our databases.Turn on the profiling function, there are 2 ways to control the profiling switch box level.Add-profile= level when starting MonggodbThe Db.setprofilinglevel (level) command is called on the client to configure in real time.The prof

Recent projects where the server is often a machine, I suspect that is not a database problem, but I do not know where to start optimization.MySQL performance optimization has always been very necessary to learn!ConsiderBuy: "High-performance MySQL (3rd edition)"Student Welfare: The electronic version finally found: Put in the cloud disk, share to the needs of fr

Original link: http://page.factj.com/blog/p/4078MongoDB has been popular for a long time, compared to MySQL, exactly what scenes need to use MongoDB? Here are some summaries.Higher write loadBy default, MongoDB is more focused on high data write performance than transactional security, and

%read 100%read Comparison of wiredtiger_syncperiodsecs_60 with 1 Sharding Cluster Performance Pressure measurement Description Scenario 1-4 1000W data per load, data size approx. 13G Scenario 5 load 5000W data, data size approx. 75G Test method YCSB Pressure Measurement Test Result Scenario 1: Single node _100%insert (load data) Scenario 2: Single node _50%update50%readScenario 3: Sing

Today, database operations are increasingly becoming the performance bottleneck of the entire application, especially for Web applications. Concerning the performance of the database, this is not just something that DBAs need to worry about, but it is something that our programmers need to pay attention to. Today, database operations are increasingly becoming the perfor