mongodb vs mysql performance

MongoDB is a database based on distributed file storage. Written by the C + + language. Designed to provide scalable, high-performance data storage solutions for WEB applications. MongoDB is a product between relational database and non relational database, and is the most powerful and relational database in the relational database. First, index

MongoDB is a high-performance data, but in the process of use, you will occasionally encounter some performance problems. MongoDB is relatively new compared to other relational databases, such as SQL Server, MySQL, and Oracle, and many people are not familiar with it, so man

function and returns Package main Import ("Bkjia.org/v2/mgo""Bkjia.org/v2/mgo/bson") Func main (){Session, err: = mgo. Dial ("")If err! = Nil {Panic (err)}Defer session. Close () Session. SetMode (mgo. Monotonic, true) Db: = session. DB ("test ")Var result interface {}Db. Run (bson. M {"eval": "leleupdatephone ('test', 'new test');"}, result)} As shown in the code above, You can execute modifications.But pay attention to the lock issue: eval will generate the write lock. You can understand the

first part of the basic chapter II install MongoDBPart I basic chapter III MONGODB architectureThe first part of the basic chapter fourth MongoDB Quick StartThe first part of the basic chapter Fourth MongoDB queryPart Two application chapter Fifth MongoDB advanced queryPart Two application chapter sixth

First, index MongoDB provides a variety of index support, indexed information is kept in system.indexes, and the default is always to create an index for _id, which uses the same relational database as MySQL. In fact, it can be said that the index is over the data storage system on top of the other layer of system, so the different structure of storage have the same or similar index implementation and use

Mysql database performance optimization 1. mysql Performance Optimization Today, database operations are increasingly becoming the performance bottleneck of the entire application, especially for Web applications. Concerning the database

) Indexbounds: The index used Third, optimizer profileIn MySQL, the slow query log is often used as the basis for us to optimize the database, is there a similar function in MongoDB? The answer is yes, that's the MongoDB database Profiler.1. Turn on the profiling functionThere are two ways to control the Profiling switch and level, the first is directly

types of insert tests, the rate at which they were inserted, from start to finish, was fixed to a standard in most cases. Analysis: 1. Glitch is because, when there is too much data to be inserted,MongoDB needs to write the data in memory into the hard disk, and MySQL needs to be re-divided into tables . These operations occur automatically every time the data in the database reaches a certain magnitude,

participating in MongoDB community activities to improve PERL/PHP's technical solutions for MongoDB. MongoDB-based open-source projects will be launched within 1.6. For companies that have just started or are developing innovative Internet applications, MongoDB's fast, flexible, lightweight, and powerful scalability are suitable for our rapid product developmen

it by the date field of another index (the index is created in reverse order, and the sorting is also in reverse order ), and the performance of 10 records is returned after the skip100 records. The impact of skip and order on the performance is measured. 7) query the performance of 100 records (that is, KB) (no sorting and no conditions). This test is to test

, and the sorting is also in reverse order ), and the performance of 10 records is returned after the skip100 records. The impact of skip and order on the performance is measured. 7) query the performance of 100 records (that is, KB) (no sorting and no conditions). This test is to test the performance impact of query

This article translates MongoDBProductionNotes in MongoDBManuel. This section focuses on considerations that affect performance and reliability in the production environment, This article is to translate the MongoDB Production Notes section in MongoDB Manuel. This section focuses on considerations that affect performance