mongodb vs relational database performance

Tags: wait author href next explain tail time information problemPick self-Knowledge Liu Yan teacher detailed, clear answer for years of doubts. Liu ComfortLinks: https://www.zhihu.com/question/24696366/answer/29189700Source: Know Updated on 2015-1-9, answered@ Li Dezhu's problem ============ 2015-1-6 update, supplemented the BCNF interpretation ============ the majority of institutions in China Wang Shan "Database system Introduction" This textbook,

-sized enterprises. The experimental case is written by Luca Sinico (infocamere software developer) Experiment OverviewInfocamere in the second half of 2016 to carry out the field of graphic database inspection, the purpose of the work is to investigate the main characteristics of the technology; Compare some of the available products and relational solutions on the market in terms of concepts and

SQL, meaning "more than SQL". In fact, most NoSQL databases give up support for the SQL language. NoSQL non-relational databases mostly give up some of the features compared to SQL-relational databases. For example, give up real-time consistency, complete support for transactions, and multiple table queries. It sounds a lot of drawbacks, but the benefits are obvious, NoSQL databases are simple, convenient,

Redis is a high-performance key-value database. The emergence of Redis, to a large extent, compensates for the shortage of such key-value storage in memcached, and in some cases can complement the relational database well. It provides a python,ruby,erlang,php client and is easy to use. According to our general use of t

temporarily), it is best to use the INNER join on statement so that you never forget the type of join. Joins are made temporarily at run time, and the more associated tables consume resources, so it's not necessary to don't mess with tables It Pays to experiment As you can see, there are often more than one-to-perform any given SQL operation. And there is rarely a definitive right or wrong. Performance can affected by the type of operation,

2015 China Database Conference Mongodb sharing, 2015 mongodbThis article was shared by MongoDB Greater China technical consultant. When the "old man" came up, he asked what Mongo meant. He guessed the prize and claimed that he was the best MongoDB expert (in the kite surfing circle... ). I believe everyone does not kno

Brief introduction:Redis is an open-source, high-performance key-value system that can be used to cache or store data.Redis data can be persisted and supports multiple data types: string, list, hash (hash), set (set), and ordered set (sorted set).Can be a good complement to the relational database. It also offers a variety of client-side Python, Ruby, Erlang, and

) Storage structure and Access methods Physical organization and methods of modification User Access Control Integrity constraints Monitoring database Performance Maintain communication with users DBAs have to do so much work with a DBMS (database management System), and we can look at two ways to see what a DBMSThe DBMS is first a so

database. The object in the file, easy to implement, simple to operate, there are many class libraries have implemented this function, but the file storage method is difficult to express the relationship between the objects, performance is also insufficient, difficult to meet the requirements of large systems. The ideal choice is object-oriented database, but th

A solution to the database sub-table of relational databasesWhen a relational database library or a single table reaches a certain level of data, a performance bottleneck occurs for a single node. The usual practice is to consider the sub-

Nowadays, the BigTable (column family) database is used more and more widely, and the function is very powerful. But many people still regard it as a relational database in use, with the original relational database thinking to build tables, storage, query. This article take

performance. There is no bottleneck in MongoDB read performance in the test due to data volume, or YCSB bottlenecks.7. Conclusion1.Mongodb reading performance is very high, suitable for rereading the scene.2. By adding shards, you can greatly increase the write

efficiency, which is the problem that the optimization of relational algebraic expression needs to be solved. The relationship between R (A, B) and S (C,D) is a two-tuple relationship, and if there is a query that can be expressed as an algebraic expression of the relationship: E1 =πa (σb=c∧d = ' A "(R x s)); This is not a good query, if you choose to multiply the s, the performance will improve: E1 =πa (Σ