Home Database Mysql Tutorial Oracle中addsplit partition对globallocal index的影响

Oracle中addsplit partition对globallocal index的影响

Jun 07, 2016 pm 04:00 PM

生产库中某些大表的分区异常,需要对现有表进行在线操作,以添加丢失分区,因为是生产库,还是谨慎点好,今天有空,针对addspli

生产库中某些大表的分区异常,需要对现有表进行在线操作,以添加丢失分区,因为是生产库,还是谨慎点好,今天有空,针对add&split分区对global&local索引的影响进行了测试,测试版本为Oracle11.2.0.4,过程如下:

首先,创建分区表:

CREATE TABLE TP1
(
C1 INT PRIMARY KEY,
C2 VARCHAR2(10),
C3 CHAR(10)
)                     
partition by range (c1)
(
partition p1 values less than(6),
partition p2 values less than(11),
partition p3 values less than(16),
partition maxvalue values less than(maxvalue));
但在add partition时遇到了问题,报错如下:

ORA-14074: 分区界限必须调整为高于最后一个分区界限


根本原因是存在最后maxvalue分区,于是,再创建一个不带maxvalue的分区表:

CREATE TABLE TP2
(
C1 INT PRIMARY KEY,
C2 VARCHAR2(10),
C3 CHAR(10)
)                     
partition by range (c1)
(
partition p1 values less than(6),
partition p2 values less than(11),
partition p3 values less than(16));


然后,,创建local索引:

create index idx_tp2_c2 on tp2(c2) local;

因为主键就是个global索引,所以,不需要另外创建global index,我们insert数据:

insert into tp2 vlaues(1,'aaa','aaa');

insert into tp2 vlaues(2,'aaa','aaa');


insert into tp2 vlaues(3,'aaa','aaa');

insert into tp2 vlaues(4,'aaa','aaa');


insert into tp2 vlaues(5,'aaa','aaa');
insert into tp2 vlaues(6,'aaa','aaa');

insert into tp2 vlaues(7,'aaa','aaa');

insert into tp2 vlaues(8,'aaa','aaa');


insert into tp2 vlaues(9,'aaa','aaa');

insert into tp2 vlaues(10,'aaa','aaa');

commit;

我们add partition:

 ALTER TABLE tp2 add PARTITION p10 values less than(51);

add partition成功,因为不存在maxvalue分区,而且,add partition对global和local索引均无影响;


那么,split partition:

ALTER TABLE tp2 SPLIT PARTITION p2 AT (8) INTO (PARTITION p2, PARTITION p22) ;


发现split分区会导致golbal索引失效,而local索引正常,为split分区命令添加update indexes选项后,再split分区对global&local索引均无影响:

ALTER TABLE tp2 SPLIT PARTITION p1 AT (3) INTO (PARTITION p1, PARTITION p11) update indexes;

以上为测试结果,记录于此,以便今后其他同学和自己参考。

本文永久更新链接地址

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

What are some popular MySQL GUI tools (e.g., MySQL Workbench, phpMyAdmin)? What are some popular MySQL GUI tools (e.g., MySQL Workbench, phpMyAdmin)? Mar 21, 2025 pm 06:28 PM

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

How do you handle large datasets in MySQL? How do you handle large datasets in MySQL? Mar 21, 2025 pm 12:15 PM

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Explain different types of MySQL indexes (B-Tree, Hash, Full-text, Spatial). Apr 02, 2025 pm 07:05 PM

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.

See all articles