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1. IntroductionMongoDB provides a variety of index support, the index information is saved in System.indexes, and the default is always to create an index _id, its index using the basic and MySQL relational database, can actually say, An index is another layer of system above a data storage system, so it is not surprising that different types of storage have identical or similar index implementations and in
Label:First, the indexMongoDB 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 sim
Single Data structure
Redis enrich some, data manipulation aspect, Redis a little better, less network IO number of
MongoDB support rich data expression, index, most similar relational database, support query language is very rich
3 , the size of the memory space, and the size of the data volume
Redis in the 2.0 after the version has added its own VMS limits of
Label:Briefly: 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 a relational
Label:In addition to the previous basic database and data table operations in the relational database, programmability functions, stored procedures, transactions, triggers, and cursors are provided. This article describes the functions. The functions are divided into two types:
System functions
User-defined Functions
Preparatory workHere
Tags: style http color ar strong data sp div problemParadigm: When designing the relational database, we should design a reasonable relational database to conform to different specifications, and the different norm requirements are called different paradigms, and the higher paradigm
e5620 @ 2.40 GHz, with 24 GB memory and centos operating system. The suppression machine is e5504 @ 2.0 GHz, with 4 GB memory and Windows Server 2003 operating system, two Gigabit NICs are directly connected.
From this test, we can see that the single process method is as follows:
1) MongoDB's non-secure insertion method has a very high performance at the beginning, but the performance decreases sha
second ). Foursquare actually uses MongoDB as a memory database with persistence, but does not handle it properly when it cannot be found to reach the internal storage bottleneck.
2) For the batch insert function, a batch of data is actually submitted at a time, but the performance of a batch of data is not much improved compared to that of a single insert, be
destroying the original semantics. No one part of each warehouse is in the hands of the person. It is possible for a part to be managed by two or more than two people at the same time. Therefore, the relational pattern after decomposition reduces partial integrity constraints.Note the point:
Database connectivity can result in a fraction of the performance
MongoDB database OverviewMongoDB is a high-performance, open-source, and non-pattern document-type database. It can be used in many scenarios to replace the traditional relational database or key/value storage mode.
from loading resources, ensure that the client maintains a reasonable number of connection pool configurations.
The connPoolStats database command can return information about the connection of the current database in the mongos and mongod instances in a sharded cluster.
Hardware considerations
MongoDB is designed based on compatibility with most hardware and ha
, the suppression machine is E5504 @ 2.0GHZ,4GB memory,The Windows Server 2003 operating system, both gigabit NICs are directly connected.As you can see from this test, the way to a single process:1) The non-Secure insertion method of MongoDB, at the beginning of the insertion performance is very high, but after reaching 20 million data, the performance of the su
In YII2, which one of the main performance can be improved by using yii2-mongodb? In YII2, which one of the main performance can be improved by using yii2-mongodb?
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In YII2, which one of the main performance can be improved by using yii2-
I. Introduction of MONGODB DatabaseBrief introductionMongoDB is a high-performance, open-source, modeless, document-based database of distributed file storage, written in the C + + language, whose name is derived from the "HuMONGOUS ", is a kind of open source document database ──nosql
1.NOSQL IntroductionNOSQL (not only Sql) refers to a non-relational database. The next generation of databases mainly solves several key points: non-relational, distributed, open-source, horizontally extensible. The original goal was for large-scale Web applications, which began in the early 2009 with features such as freedom of mode, support for simple replicati
Tags: program support mode high-performance user size will be piped functionWhat ' s the MongoDBMongoDB is a product between a relational database and a non-relational database, and is the most versatile and most like relational
. I think Data Forwarding may be a cause of performance loss, although mongos is on the press machine, but the data is always transferred once ).
5) the disk space usage is similar to that of the two. Some of the gaps may be due to the fact that multiple processes allocate more space, in addition, a single process occupies more disk space than a single process, while those that occupy less space than a single process are actually the starting encoding
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