drop cluster : Cluster « Table « Oracle PL/SQL Tutorial

Oracle PL/SQL Tutorial

1.	Introduction
2.	Query Select
3.	Set
4.	Insert Update Delete
5.	Sequences
6.	Table
7.	Table Joins
8.	View
9.	Index
10.	SQL Data Types
11.	Character String Functions
12.	Aggregate Functions
13.	Date Timestamp Functions
14.	Numerical Math Functions
15.	Conversion Functions
16.	Analytical Functions
17.	Miscellaneous Functions
18.	Regular Expressions Functions
19.	Statistical Functions
20.	Linear Regression Functions
21.	PL SQL Data Types
22.	PL SQL Statements
23.	PL SQL Operators
24.	PL SQL Programming
25.	Cursor
26.	Collections
27.	Function Procedure Packages
28.	Trigger
29.	SQL PLUS Session Environment
30.	System Tables Data Dictionary
31.	System Packages
32.	Object Oriented
33.	XML
34.	Large Objects
35.	Transaction
36.	User Privilege

Java Source Code / Java Documentation

Java Open Source

Jar File Download

Photoshop Tutorials

Flash Tutorials

3ds-Max Tutorials

Illustrator Tutorials

C# / CSharp Tutorial

C# / CSharp Open Source

ASP.NET Tutorial

JavaScript DHTML

JavaScript Tutorial

JavaScript Reference

HTML CSS Reference

Python Tutorial

Python Open Source

SQL Server / T-SQL

SQL Server / T-SQL Tutorial

Oracle PL / SQL

VB.Net Tutorial

Flash / Flex / ActionScript

VBA / Excel / Access / Word

Microsoft Office PowerPoint 2007 Tutorial

Microsoft Office Excel 2007 Tutorial

Microsoft Office Word 2007 Tutorial

Oracle PL/SQL Tutorial » Table » Cluster

6. 24. 4. drop cluster


SQL> create cluster user_objects_cluster_btree

  2  ( username varchar2(30) )

  3  size 1024

  4  /



Cluster created.



SQL>

SQL> create index user_objects_idx

  2  on cluster user_objects_cluster_btree

  3  /



Index created.



SQL>

SQL> drop cluster user_objects_cluster_btree;



Cluster dropped.



SQL>

6. 24. Cluster
	6. 24. 1.	Create cluster and set hashkeys, size
	6. 24. 2.	Create cluster and then create table on top of it
	6. 24. 3.	Cluster with varchar2 column
	6. 24. 4.	drop cluster
	6. 24. 5.	Existence-dependent aggregation using the clustering technique
	6. 24. 6.	Exclusive aggregation using the clustering technique
	6. 24. 7.	Create index on cluster

www.java2java.com | Contact Us

Copyright 2009 - 12 Demo Source and Support. All rights reserved.

All other trademarks are property of their respective owners.