当我们想要查看某个表或者是表空间的DDL的时候,可以利用dbms_metadata.get_ddl这个包来查看。 dbms_metadata包中的get_ddl函数详细参数 GET_DDL函数返回创建对象的原数据的DDL语句,详细参数如下 -- object_type ---需要返回原数据的DDL语句的对象类型 -- n
当我们想要查看某个表或者是表空间的DDL的时候,可以利用dbms_metadata.get_ddl这个包来查看。
dbms_metadata包中的get_ddl函数详细参数
GET_DDL函数返回创建对象的原数据的DDL语句,详细参数如下
-- object_type ---需要返回原数据的DDL语句的对象类型
-- name --- 对象名称
-- schema ---对象所在的Schema,默认为当前用户所在所Schema
-- version ---对象原数据的版本
-- model ---原数据的类型默认为ORACLE
-- transform. - XSL-T transform. to be applied.
-- RETURNS: 对象的原数据默认以CLOB类型返回
dbms_metadata包中的get_ddl函数定义
FUNCTION get_ddl ( object_type IN VARCHAR2,
name IN VARCHAR2,
schema IN VARCHAR2 DEFAULT NULL,
version IN VARCHAR2 DEFAULT 'COMPATIBLE',
model IN VARCHAR2 DEFAULT 'ORACLE',
transform. IN VARCHAR2 DEFAULT 'DDL') RETURN CLOB;
注意如果使用sqlplus需要进行下列格式化,特别需要对long进行设置,否则无法显示完整的SQL
set linesize 180
set pages 999
set long 90000
查看创建用户表的SQL
查看当前用户表的SQL
select dbms_metadata.get_ddl('TABLE','EMPLOYEES') from dual;
查看其他用表或索引的SQL
SELECT DBMS_METADATA.GET_DDL('TABLE','DEPT','SCOTT') FROM DUAL;
查看创建用户索引的SQL
查看所需表的索引
SQL> select INDEX_NAME, INDEX_TYPE, TABLE_NAME from user_indexes WHERE table_name='EMP';
查看当前用户索引的SQL
select dbms_metadata.get_ddl('INDEX','PK_DEPT') from dual;
查看其他用户索引的SQL
select dbms_metadata.get_ddl('INDEX','PK_DEPT','SCOTT‘) from dual;
查看创建主键的SQL
查看所需表的约束
SQL> select owner, table_name, constraint_name, constraint_type from user_constraints where table_name='EMP';
查看创建主键的SQL
SELECT DBMS_METADATA.GET_DDL('CONSTRAINT','EMP_PK') FROM DUAL;
查看创建外键的SQL
SQL> SELECT DBMS_METADATA.GET_DDL('REF_CONSTRAINT','EMP_FK_DEPT') FROM DUAL;
查看创建VIEW的语句
查看当前用户视图的SQL
SQL> SELECT dbms_metadata.get_ddl('VIEW', 'MY_TABLES')
查看其他用户视图的SQL
SQL> SELECT dbms_metadata.get_ddl('VIEW', 'MY_TABLES','SCOTT‘) FROM DUAL;
查看创建视图的SQL也可以
SQL> select text from user_views where view_name=upper('&view_name');
DBMS_METADATA.GET_DDL的一些使用技巧
1、得到一个用户下的所有表,索引,存储过程,函数的ddl
SELECT DBMS_METADATA.GET_DDL(U.OBJECT_TYPE, u.object_name)
FROM USER_OBJECTS u
where U.OBJECT_TYPE IN ('TABLE','INDEX','PROCEDURE','FUNCTION‘);
2、得到所有表空间的ddl语句
SELECT DBMS_METADATA.GET_DDL('TABLESPACE', TS.tablespace_name)
FROM DBA_TABLESPACES TS;
3、得到所有创建用户的ddl
SELECT DBMS_METADATA.GET_DDL('USER',U.username)
FROM DBA_USERS U;
4、去除storage等多余参数
EXECUTE DBMS_METADATA.SET_TRANSFORM_PARAM(DBMS_METADATA.SESSION_TRANSFORM,'STORAGE',false);
常见错误
SQL> select dbms_metadata.get_ddl('TABLE','PC','SCOTT') from dual;
ERROR:
ORA-19206: Invalid value for query or REF CURSOR parameter
ORA-06512: at "SYS.DBMS_XMLGEN", line 83
ORA-06512: at "SYS.DBMS_METADATA", line 345
ORA-06512: at "SYS.DBMS_METADATA", line 410
ORA-06512: at "SYS.DBMS_METADATA", line 449
ORA-06512: at "SYS.DBMS_METADATA", line 615
ORA-06512: at "SYS.DBMS_METADATA", line 1221
ORA-06512: at line 1
no rows selected
解决办法:运行$ORACLE_HOME/rdbms/admin/catmeta.sql

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.

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.

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 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.

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 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 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.

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.


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