aterialized views are disk based and update periodically base upon the query definition.

Views are virtual only and run the query definition each time they are accessed.

Views evaluate the data in the tables underlying the view definition at the time the view is queried. It is a logical view of your tables, with no data stored anywhere else. The upside of a view is that it will always return the latest data to you. The downside of a view is that its performance depends on how good a select statement the view is based on. If the select statement used by the view joins many tables, or uses joins based on non-indexed columns, the view could perform poorly.

Materialized views are similar to regular views, in that they are a logical view of your data (based on a select statement), however, the underlying query resultset has been saved to a table. The upside of this is that when you query a materialized view, you are querying a table, which may also be indexed. In addition, because all the joins have been resolved at materialized view refresh time, you pay the price of the join once (or as often as you refresh your materialized view), rather than each time you select from the materialized view. In addition, with query rewrite enabled, Oracle can optimize a query that selects from the source of your materialized view in such a way that it instead reads from your materialized view. In situations where you create materialized views as forms of aggregate tables, or as copies of frequently executed queries, this can greatly speed up the response time of your end user application. The downside though is that the data you get back from the materialized view is only as up to date as the last time the materialized view has been refreshed.

Materialized views can be set to refresh manually, on a set schedule, or based on the database detecting a change in data from one of the underlying tables. Materialized views can be incrementally updated by combining them with materialized view logs, which act as change data capture sources on the underlying tables.

Materialized views are most often used in data warehousing / business intelligence applications where querying large fact tables with thousands of millions of rows would result in query response times that resulted in an unusable application.

Difference between View and Materialized view is one of the popular SQL interview question, much like truncate vs deletecorrelated vs noncorrelated subquery or primary key vs unique key.  This is one of the classic question which keeps appearing in SQL interview now and then and you simply can’t afford not to learn about them. Doesn’t matter if you are a programmer, developer or DBA, this SQL questions is common to all. Views are concept which not every programmer familiar of, it simply not in the category of CRUD operation or database transactions or SELECT query, its little advanced concept for average programmer. Views allows a level of separation than original table in terms of access rights but it always fetch updated data. Let’s see What is View in database, What is materialized View and difference between view and materialized view in database.


What is View in database
Views are logical virtual table created by “select query” but the result is not stored anywhere in the disk and every time we need to fire the query when we need data, so always we get updated or latest data from original tables. Performance of the view depend upon our select query. If we want to improve the performance of view we should avoid to use join statement in our query or if we need multiple joins between table always try to use index based column for joining as we know index based columns are faster than non index based column. View allow to store definition of the query in the database itself.
 
What is Materialized View in database
Materialized views are also logical view of our data driven by select query but the result of the query will get stored in the table or disk, also definition of the query will also store in the database .When we see the performance of Materialized view it is better than normal View because the data of materialized view will stored in table and table may be indexed so faster for joining also joining is done at the time of materialized views refresh time so no need to every time fire join statement as in case of view.

Difference between View vs Materialized View in database

Based upon on our understanding of View and Materialized View, Let’s see, some short difference between them :
 
1) First difference between View and materialized view is that, In Views query result is not stored in the disk or database but Materialized view allow to store query result in disk or table.
 
2) Another difference between View vs materialized view is that, when we create view using any table,  rowid of view is same as original table but in case of Materialized view rowid is different.
 
3) One more difference between View and materialized view in database is that, In case of View we always get latest data but in case of Materialized view we need to refresh the view for getting latest data.
 
4) Performance of View is less than Materialized view.
 
5) This is continuation of first difference between View and Materialized View, In case of view its only the logical view of table no separate copy of table but in case of Materialized view we get physically separate copy of table
 
6) Last difference between View vs Materialized View is that, In case of Materialized view we need extra trigger or some automatic method so that we can keep MV refreshed, this is not required for views in database.
 
When to Use View vs Materialized View in SQL
Mostly in application we use views because they are more feasible,  only logical representation of table data no extra space needed. We easily get replica of data and we can perform our operation on that data without affecting actual table data but when we see performance which is crucial for large application they use materialized view where Query Response time matters so Materialized views are used mostly with data ware housing or business intelligence application.
 
That’s all on difference between View and materialized View in database or SQL. I suggest always prepare this question in good detail and if you can get some hands on practice like creating Views, getting data from Views then try that as well.

What is the difference between Views and Materialized Views in Oracle?的更多相关文章

  1. Materialized Views 物化视图 -基础篇

    Materialized Views 物化视图 -基础篇 http://blog.csdn.net/elimago/article/details/5404019

  2. oracle objects - Materialized views and Synonyms

    Materialized views - 物化视图,不实时查询表,定期更新,查询速度快 视图的更新频率我们可以在这看到:select * from dba_jobs , 一般在创建视图的时候完成的. ...

  3. Indexed (materialized) views in SQL Server,different with Oracle (materialized) views

    Thanks to MS sql could have materialized views ,similar with oracle MVs, using indexed views. what i ...

  4. Materialized View in Oracle - Concepts and Architecture

    List all of MV inoracle: select owner, query, query_len from dba_mviews See content of aMV: select * ...

  5. TimescaleDB1.3 的新特性——Continuous aggregates: faster queries with automatically maintained materialized views

    One characteristic of time-series data workloads is that the dataset will grow very quickly. Without ...

  6. Django—views系统:views基础

    Django的View(视图)简介 一个视图函数(类),简称视图,是一个简单的Python 函数(类),它接受Web请求并且返回Web响应. 响应可以是一张网页的HTML内容,一个重定向,一个404错 ...

  7. ORACLE的SQL JOIN方式小结

    在ORACLE数据库中,表与表之间的SQL JOIN方式有多种(不仅表与表,还可以表与视图.物化视图等联结),官方的解释如下所示 A join is a query that combines row ...

  8. [置顶] 阅读Oracle官方文档指南

    还在整理中.... EXPDP/IMPDP 相关文档:Utilities 2 Data Pump Export 3 Data Pump Import SQL*Loader 相关文档:Utilities ...

  9. ORACLE的SQL JOIN方式大全

    ORACLE的SQL JOIN方式大全 在ORACLE数据库中,表与表之间的SQL JOIN方式有多种(不仅表与表,还可以表与视图.物化视图等联结),官方的解释如下所示 A join is a que ...

随机推荐

  1. Codevs 1669 运输装备

    时间限制: 1 s  空间限制: 256000 KB  题目等级 : 钻石 Diamond 题解  查看运行结果     题目描述 Description 德国放松对英国的进攻后,把矛头指向了东北—— ...

  2. 增量与位置PID

    转载:http://blog.sina.com.cn/s/blog_408540af0100b17n.html http://bbs.ednchina.com/BLOG_ARTICLE_211739. ...

  3. MATLAB light material lighting

    clf;[X,Y,Z]=sphere(40);colormap(jet)subplot(1,2,1),surf(X,Y,Z),axis off square,shading interplight(' ...

  4. python time模块和datetime模块详解

    一.time模块 time模块中时间表现的格式主要有三种: a.timestamp时间戳,时间戳表示的是从1970年1月1日00:00:00开始按秒计算的偏移量 b.struct_time时间元组,共 ...

  5. Python脚本控制的WebDriver 常用操作 <十六> 处理对话框

    下面将使用webdriver来处理一些页面跳出的对话框事件 测试用例场景 页面上弹出的对话框是自动化测试经常会遇到的一个问题.前端框架的对话框经常是div形式的,下面是一些常见的对话框操作事件: 打开 ...

  6. WPF学习笔记1——XAML之1

    参考文献: http://msdn.microsoft.com/zh-cn/library/ms752059(v=vs.110).aspx <Pro WPF 4.5 in C# > 一.X ...

  7. ThinkPHP中PATHINFO模式优化

    ThinkPHP 3.1.2官方手册 第16.2章节 <隐藏index.php>中提到在Ngnix中隐藏index.php实现SEO友好的方法,其中使用了如下的代码 location / ...

  8. mapreduce 实现pagerank

    输入格式: A 1 B,C,D B 1 C,Dmap: B A 1/3 C A 1/3 D A 1/3 A |B,C,D C B 1/2 D B 1/2 B |C,Dreduce: B (1-0.85 ...

  9. [原创]PostgreSQL Plus Advince Server在 HA环境中一对多的Stream Replication配置(三)

    五.准备HA环境1.准备yum源a.安装vsftp服务,将光盘镜像copy到本地ftp目录作为yum源.[root@s1 ~]# mount 可以看到cdrom已经挂载了,首先安装vsftp服务[ro ...

  10. putty工具常见设置

    Putty 工具主要是用于在 windows 环境下连接 linux 服务器的一个命令行工具,可以在此客户端中进行编译.svn代码修改 更新 提交等动作.LD主要是用它来干这个的. 工作环境的改变: ...