ORACLE数据库除了可以保存永久表外,还可以建立临时表temporary tables。这些临时表用来保存一个会话SESSION的数据,或者保存在一
Oracle临时表介绍:
ORACLE数据库除了可以保存永久表外,还可以建立临时表temporary tables。这些临时表用来保存一个会话SESSION的数据,或者保存在一个事务中需要的数据。当会话退出或者用户提交commit和回滚rollback事务的时候,临时表的数据自动清空,但是临时表的结构以及元数据还存储在用户的数据字典中。
Oracle临时表分为 会话级临时表 和 事务级临时表。会话级临时表是指临时表中的数据只在会话生命周期之中存在,当用户退出会话结束的时候,Oracle自动清除临时表中数据。
事务级临时表是指临时表中的数据只在事务生命周期中存在。当一个事务结束(commit or rollback),Oracle自动清除临时表中数据。
临时表中的数据只对当前Session有效,每个Session都有自己的临时数据,并且不能访问其它Session的临时表中的数据。因此,临时表不需要DML锁。
当一个会话结束(用户正常退出 用户不正常退出 ORACLE实例崩溃)或者一个事务结束的时候,,Oracle对这个会话的表执行 TRUNCATE 语句清空临时表数据.但不会清空其它会话临时表中的数据.可以索引临时表和在临时表基础上建立视图.同样,建立在临时表上的索引也是临时的,也是只对当前会话或者事务有效. 临时表可以拥有触发器.
全文的REDO/UNOD大小的单位均为BYTES。
一、环境及用户BYS@bys1>select * from v$version;
BANNER
--------------------------------------------------------------------------------
Oracle Database 11g Enterprise Edition Release 11.2.0.1.0 - Production
PL/SQL Release 11.2.0.1.0 - Production
CORE 11.2.0.1.0 Production
TNS for Linux: Version 11.2.0.1.0 - Production
NLSRTL Version 11.2.0.1.0 - Production
BYS@bys1>select force_logging from v$database;
FOR
---
NO
BYS@bys1>select * from user_role_privs;
USERNAME GRANTED_ROLE ADM DEF OS_
------------------------------ ------------------------------ --- --- ---
BYS DBA NO YES NO
BYS@bys1>select * from tab;
TNAME TABTYPE CLUSTERID
------------------------------ ------- ----------
DEPT TABLE
EMP TABLE
SYS_TEMP_FBT TABLE
创建一个表,600W条数据--源数据为dba_objects,通过多次查询插入。
BYS@bys1>create table test9 as select * from dba_objects;
Table created.
BYS@bys1>insert into test9 select * from test9; ---多次使用此语句插入数据
BYS@bys1>commit;
Commit complete.
BYS@bys1>select count(*) from test9; 将近700W条。
COUNT(*)
----------
6957120
相关阅读:
Oracle DML流程
PL/SQL“ ORA-14551: 无法在查询中执行 DML 操作”解决
MySQL常用DDL、DML、DCL语言整理(附样例)
Oracle基本事务和ForAll执行批量DML练习
Oracle DML语句(insert,update,delete) 回滚开销估算

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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