mongodb vs mysql performance

MYSQL Performance Tuning and architecture design-instance analysis of factors affecting MYSQL Performance Requirement overview A simple discussion zone system requires users, user groups, and group discussion areas. Brief analysis 1) tables that need to store user data; 2) tables that need to store group information an

MONGDB Performance pressure test, random query, data volume 100 million records Operating system centos6.4x64 bit From the test results, when MongoDB all the data into memory, query speed according to the size of the document, performance bottlenecks are usually in the network traffic and CPU processing performance (

Tags: min. sh Memory command line run Modify scenario multiple IMAMongoDB's library-level lock MongoDB is currently the most popular NoSQL database, with its natural document-type data structures, flexible data patterns, and easy-to-use horizontal scaling capabilities that have been favored by many developers. But gold is no can't pure perfect, MongoDB is not without its weaknesses, such as its library-leve

MongoDB is a high-performance extensible document-based NoSQL database, and high performance also requires configuration in several key dimensions, including hardware, application patterns, pattern design, indexing, disk I/O, and so on.Storage EngineWiredtiger is the default storage engine after 3.0, fine-grained concurrency control and data compression provide h

Label:Today, database operations are increasingly becoming a performance bottleneck for the entire application, which is especially noticeable for web applications. It's not just about the performance of the database that DBAs need to worry about, it's something that our programmers need to focus on. When we design the database table structure, we need to pay attention to the

Query (table 300 million data): Simultaneous connection number op/s3 8K5 10K8 16K20K25K32K40K48K57KThe memory even index cannot be completely lowered: Cache:data = 1:10 Query (table 300 million data): Simultaneous connection number op/s3 3.4K5 4.5K8 9.3K11K14K20K24K25K34K(Click to view larger image)The index is all in memory:Cache:data is 4:10The index is not all in memoryCache:data is 1:10 Memory is large enough, the CPU is the bottleneck, the better the CPU

The topic is not very accurate, because the database does not provide paging , ranking and other functions, providing only data access, page ranking these are our database-based practical cases only. However, whether it is Redis or MongoDB, there are usually some common ways to do paging and ranking. This article introduces some test data to show you the performance difference between Redis and

first, the index MongoDB provides a variety of index support, the index information is saved in System.indexes, and the default is always to create an index for _ID, its index uses the basic and MySQL and other relational database. In fact, it can be said that the index is above the data storage system on the other layer of the system, so the various structures of different storage have the same or similar

Mysql performance optimization solution sharing and mysql performance optimization sharing There are many mysql performance optimization solutions on the Internet. However, mysql optimi

Traditional SQL pagingIn traditional SQL paging, almost no row_number exists in all solutions. For scenarios that require various sorting and complex queries, row_number is a killer. In addition, the time stamp is usually used for paging loading by poll/push on the current web. These two types of pages can be said to be generic, and even the pages generated by Linq are row_number. The latter is the best both in terms of performance and complexity, bec

Tags: wan theory large number of connections coded pad memory alt modeThe performance test of MONGODB billion data volume was carried out, and the following items were tested:(All inserts are single-threaded and all reads are multithreaded) 1) Normal insertion performance (the inserted data is about 1KB per piece) 2) Bulk Insert

performance and business to set), so set a big meaningless. If you set a reasonable value, you reach this value and MongoDB the new connection request to avoid being dragged down by too many connections.2.indexcounters:btree:misses index of the number of misses, and the ratio of hits to consider whether the index is correctly established. You see my "missratio": 3.543930204420982e-7, very healthy bar. So t