Learn about mongodb vs relational database performance, we have the largest and most updated mongodb vs relational database performance information on alibabacloud.com
Recently in Tornado\mongodb\ansibleThere is a find () method in MongoDB that can send out all the tables in the collection, which I wrote at first.Class Module_actionhandler (Tornado.web.RequestHandler): def get (self, *args, **kwargs): coll = Self.application.db.waitfish hosts = Coll.find ({}, {' hostname ': 1, "_id": 0}) modulenames = [' ping ', ' setup ', ' Copy '] self.ren
1 relational databases such as Oracle, database design
The first step: to create a PDM as a physical data model through tools such as PowerDesigner (there should be a CDM, but the CDM design process can be omitted in the general development)
Step two: Import PDM into the Oracle database and generate the database tables
Tags: Mongo lan mon min idt dex font Use admin One: Normal index 1 to create a new database > Use Toto; Switched to DB Toto > Show DBS; Admin (empty) Local 0.078GB > Use Toto; Switched to DB Toto > DB Toto > 2 Create - million-piece data > for (var i=1; I ... db.c3.insert ({name: "Zhangsan", age:i}); ... } >db.c3.count (); 3 No index lookup >db.c3.find ({age:500000}). Explain (); 4 bit Age field to create an index Db.c3.
Label:Summary of performance optimization of relational database author: Liu Xiaojun Source: Blog Park Published: 2010-12-12 21:09 read: 2,763 recommendations: 1 original link [favorites]Absrtact: Today we are going to discuss the problem of performance optimization of relational
referencing a view, the optimizer can use the view index in the query without having to specify the view directly in the FROM clause.3) data storage can consider the appropriate data redundancy, to reduce the link between database tables, improve query efficiency.4) for the characteristics of the data, take a specific index type. For example, bitmap indexing, and so on.12, for the SQL statement when writing some suggestions:1) Write a statement to de
MONGODB1, MongoDB optimization: A, statement optimization may find a long execution time statement through the profile. Db.getProfiling.Level () to get the profile level Db.system.profile.find () to view the profile record. B, after finding the statement, through the explain to parse the statement, you can see whether the index is used, what index? Db.collection.find ({xx:xx}). Explain (); C, through the results of explain to optimize the query statem
Tags: engine toolbar name Disk link Item Reference src traditionTurn from: Easy hundred tutorials The data in MongoDB has a flexible pattern. The documents are in the same collection, but they do not need to have the same field or structure collection, and the public fields in the collection document can contain different types of data. The data in MongoDB has a flexible pattern. Unlike SQL databases, SQL d
Compare Items MongoDB mysql/oracleTable Collection list Two-dimensional tables tableA row of data in a table document a record recordingTable Keys key Fields fieldField value Values value valuePrimary foreign Key No PK,FKVery high flexibility and very poor degree of scalability1. The record of the tables in the relational database must be guaranteed to have the s
Tags: deleting. So class import remove import Insert Connection Client# Importing MONGDB module import Pymongo fromPymongo import mongoclient# connect to local server conn= Mongoclient ("localhost",27017) # Connect database db=conn.zhang# Gets the collection student table name collection=db.student"""# Statistics data number res=Collection.find (). Count () # Query all data res=Collection.find () # Ascending res= Collection.find (). Sort (' Age') # De
Tags: empty god name for Sys + + ... lang csdn?? One: Normal index 1 to create a new database > Use Toto; Switched to DB Toto > Show DBS; Admin (empty) Local 0.078GB > Use Toto; Switched to DB Toto > DB Toto > 2 Create - million-piece data > for (var i=1; I ... db.c3.insert ({name: "Zhangsan", age:i}); ... } >db.c3.count (); 3 No index lookup >db.c3.find ({age:500000}). Explain (); 4 bit Age field to create an index Db.c3.en
and writing:
The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
Document-oriented database for massive data access:
This type of database is characterized by the ability to
need for a relational database this veteran.
5. Non-relational database classification
Because of the nature of the relational database itself, and the time is relatively short, therefore, do not want to
high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
Document-oriented database for massive data access:
This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for MongoDB and COUCHDB
:
The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
Document-oriented database for massive data access:
This type of database is characterized by the ability to quickly quer
the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
Document-oriented database for massive data access:
This type of database is characterized by the ability to quickly query data in massive amounts of data
high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
Document-oriented database for massive data access:
This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for MongoDB and COUCHDB
following categories are mainly divided into:
Key-value database for high-performance concurrency reading and writing:
The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
Docum
:
The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
Document-oriented database for massive data access :
This type of database is characterized by the ability to quickly query
structure method and the application situation, the following categories are mainly divided into:
Key-value database for high-performance concurrency reading and writing:
The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,f
high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class.
Document-oriented database for massive data access:
This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for MongoDB and COUCHDB
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.