如何处理undo tablespace 表空间太大的问题 (1)-- 创建一个新的小空间的undo tablespace create undo tablespace undotBS4 dat
如何处理undo tablespace 表空间太大的问题
(1)-- 创建一个新的小空间的undo tablespace
create undo tablespace undotBS4 datafile 'C:\Oracle\oradata\dzq\eoffice\UNDOTBS4.DBF' size 500m;
(2)-- 设置新的表空间为系统undo_tablespace
alter system set undo_tablespace=undotBS4;
(3)-- Drop 旧的表空间
drop tablespace undotbs3 including contents;
==================================================================
-查看表空间明称
select name from v$tablespace;
- 检查数据库UNDO表空间占用空间情况以及数据文件存放位置
select file_name,bytes/1024/1024 from dba_data_files where tablespace_name like 'UNDOTBS2';
-查看回滚段的使用情况,哪个用户正在使用回滚段的资源,,如果有用户最好更换时间(特别是生产环境)
select s.username, u.name from v$transaction t,v$rollstat r, v$rollname u,v$session s where s.taddr=t.addr and t.xidusn=r.usn and r.usn=u.usn order by s.username;
-创建新的UNDO表空间,并设置自动扩展参数
create undo tablespace undotbs1 datafile '/oradata/oradata/ddptest/UNDOTBS1.dbf' size 1000m reuse autoextend on next 800m maxsize unlimited;
-查看每十分钟记录一次这段时间内使用的undo block数量
select begin_time,end_time, undoblks from v$undosta

MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.

Use the EXPLAIN command to analyze the execution plan of MySQL queries. 1. The EXPLAIN command displays the execution plan of the query to help find performance bottlenecks. 2. The execution plan includes fields such as id, select_type, table, type, possible_keys, key, key_len, ref, rows and Extra. 3. According to the execution plan, you can optimize queries by adding indexes, avoiding full table scans, optimizing JOIN operations, and using overlay indexes.

Subqueries can improve the efficiency of MySQL query. 1) Subquery simplifies complex query logic, such as filtering data and calculating aggregated values. 2) MySQL optimizer may convert subqueries to JOIN operations to improve performance. 3) Using EXISTS instead of IN can avoid multiple rows returning errors. 4) Optimization strategies include avoiding related subqueries, using EXISTS, index optimization, and avoiding subquery nesting.

Methods for configuring character sets and collations in MySQL include: 1. Setting the character sets and collations at the server level: SETNAMES'utf8'; SETCHARACTERSETutf8; SETCOLLATION_CONNECTION='utf8_general_ci'; 2. Create a database that uses specific character sets and collations: CREATEDATABASEexample_dbCHARACTERSETutf8COLLATEutf8_general_ci; 3. Specify character sets and collations when creating a table: CREATETABLEexample_table(idINT

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

Renaming a database in MySQL requires indirect methods. The steps are as follows: 1. Create a new database; 2. Use mysqldump to export the old database; 3. Import the data into the new database; 4. Delete the old database.


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