search
HomeDatabaseMysql TutorialOracle 分区交换-归档数据

Oracle交换分区的操作步骤如下: 1. 创建分区表t1,假设有2个分区,P1,P2.2. 创建基表t11存放P1规则的数据。3. 创建基表t12 存

Oracle交换分区的操作步骤如下: 

1. 创建分区表t1,假设有2个分区,P1,P2.
2. 创建基表t11存放P1规则的数据。
3. 创建基表t12 存放P2规则的数据。
4. 用基表t11和分区表T1的P1分区交换。 把表t11的数据放到到P1分区
5. 用基表t12 和分区表T1p2 分区交换。 把表t12的数据存放到P2分区。
 

----1.未分区表和分区表中一个分区交换
 

create table t1
 (
 sid int not null primary key,
 sname  varchar2(50)
 )
 PARTITION BY range(sid)
 ( PARTITION p1 VALUES LESS THAN (5000) tablespace test,
  PARTITION p2 VALUES LESS THAN (10000) tablespace test,
  PARTITION p3  VALUES LESS THAN (maxvalue) tablespace test
 ) tablespace test;
 

 

SQL> select count(*) from t1;
 

  COUNT(*)
 ----------
          0
 

 

 

create table t11
 (
 sid int not null primary key,
 sname  varchar2(50)
 ) tablespace test;
 

 

create table t12
 (
 sid int not null primary key,
 sname  varchar2(50)
 ) tablespace test;
 

 

create table t13
 (
 sid int not null primary key,
 sname  varchar2(50)
 ) tablespace test;
 

--循环导入数据
 declare
        maxrecords constant int:=4999;
        i int :=1;
    begin
        for i in 1..maxrecords loop
          insert into t11 values(i,'ocpyang');
        end loop;
    dbms_output.put_line(' 成功录入数据! ');
    commit;
    end;
 /
 

 

declare
        maxrecords constant int:=9999;
        i int :=5000;
    begin
        for i in 5000..maxrecords loop
          insert into t12 values(i,'ocpyang');
        end loop;
    dbms_output.put_line(' 成功录入数据! ');
    commit;
    end;
 /
 

 

 

declare
        maxrecords constant int:=70000;
        i int :=10000;
    begin
        for i in 10000..maxrecords loop
          insert into t13 values(i,'ocpyang');
        end loop;
    dbms_output.put_line(' 成功录入数据! ');
    commit;
    end;
 /
 

commit;
 

 

 

SQL> select count(*) from t11;
 

  COUNT(*)
 ----------
      4999
 

SQL> select count(*) from t12;
 

  COUNT(*)
 ----------
      5000
 

SQL> select count(*) from t13;
 

  COUNT(*)
 ----------
      60001
 

 

 

--交换分区
 

 

alter table t1 exchange partition p1 with table t11;
 

 

SQL> select count(*) from t11;  --基表t11数据为0
 

  COUNT(*)
 ----------
          0
 

SQL> select count(*) from t1 partition (p1);  --分区表的P1分区数据位基表t11的数据
 

  COUNT(*)
 ----------
      4999

 

 

alter table t1 exchange partition p2 with table t12;
 

select count(*) from t12;
 

select count(*) from t1 partition (p2); 

 

 

alter table t1 exchange partition p3 with table t13;
 

select count(*) from t13;
 

select count(*) from t1 partition (p3); 

linux

Statement
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
How does MySQL index cardinality affect query performance?How does MySQL index cardinality affect query performance?Apr 14, 2025 am 12:18 AM

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

MySQL: Resources and Tutorials for New UsersMySQL: Resources and Tutorials for New UsersApr 14, 2025 am 12:16 AM

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

Real-World MySQL: Examples and Use CasesReal-World MySQL: Examples and Use CasesApr 14, 2025 am 12:15 AM

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL Commands in MySQL: Practical ExamplesSQL Commands in MySQL: Practical ExamplesApr 14, 2025 am 12:09 AM

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

How does InnoDB handle ACID compliance?How does InnoDB handle ACID compliance?Apr 14, 2025 am 12:03 AM

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's Place: Databases and ProgrammingMySQL's Place: Databases and ProgrammingApr 13, 2025 am 12:18 AM

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL: From Small Businesses to Large EnterprisesMySQL: From Small Businesses to Large EnterprisesApr 13, 2025 am 12:17 AM

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

What are phantom reads and how does InnoDB prevent them (Next-Key Locking)?What are phantom reads and how does InnoDB prevent them (Next-Key Locking)?Apr 13, 2025 am 12:16 AM

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.

See all articles

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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
3 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
WWE 2K25: How To Unlock Everything In MyRise
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.