Logmnr在Oracle 9i以后做了众多的改进,如可以不需要build flat文本文件就可以分析日志了,也就表示可以不需要修改参数utl_file_
Logmnr在Oracle 9i以后做了众多的改进,如可以不需要build flat文本文件就可以分析日志了,也就表示可以不需要修改参数utl_file_dir就可以分析日志了,避免了修改参数utl_file_dir导致的重起数据库问题。另外也开始支持把字典信息build到联机日志中,在异地分析归档日志。
在flashback也不能帮上忙的时候,logmnr却是非常有用的。因为只要误操作时期的归档日志存在,就可以通过归档日志来恢复误删除(delete)的数据。
如果在Oracle 9i以上,采用在本地的在线数据字典分析归档日志,就这么简单:
Piner@9iR2>exec -
sys.dbms_logmnr.add_logfile(LogFileName=>'/archive_log/archive/1_9.arc',-
options => dbms_logmnr.new);
PL/SQL procedure successfully completed.
Piner@9iR2>exec sys.dbms_logmnr.start_logmnr( -
Options => sys.dbms_logmnr.dict_from_online_catalog);
PL/SQL procedure successfully completed.
可以看到,在线分析其实就只需要这两步,添加日志并分析日志。注意以上OPTIONS => DBMS_LOGMNR.NEW,表示添加第一个日志,如需要另外添加更多的日志,可以用如下方式即可。
Piner@9iR2>exec sys.dbms_logmnr.add_logfile(LogFileName=>'/archive_log/archive/1_10.arc');
如果日志分析完成,可以把需要的信息保存到临时表,如
Piner@9iR2>create table tmp_logmnr as
2 select operation,sql_redo,sql_undo from v$logmnr_contents
3 where seg_name='TEST';
然后,终止日志分析过程。
Piner@9iR2>exec sys.dbms_logmnr.end_logmnr
对于临时表中的SQL_UNDO,可以选择性的恢复,如采用如下的脚本来恢复,这里为了减少阻塞,每1000条提交一次。另外,需要注意的是,SQL_UNDO中的分号,如果想用动态SQL来执行的话,是需要去掉的。【LINUX公社 】
declare
mysql varchar2(4000);
num number :=0;
begin
for c_tmp in (select sql_undo from tmp_logmnr where operation = 'DELETE') loop
--去掉语句中的分号,这里假定只有语句结尾有分号,语句中间并没有分号。
--如果语句中也有分号,则可以考虑替换语句结尾的;'(分号单引号)为'(单引号)。
mysql := replace(c_tmp.sql_undo,';','');
execute immediate mysql;
num := num + 1;
if mod(num,1000)=0 then
commit;
end if;
end loop;
commit;
exception
when others then
--异常处理
end;
/
以上的PL/SQL代码其实还可以加强,如恢复成功一条,就设置状态值为1,否则,设置状态值为-1,方便跟踪那些记录恢复成功,哪些记录恢复失败了。
另外,,需要注意的是,在Oracle 10g以下,LOGMNR的临时表v$logmnr_contents,使用的是system表空间,在Oracle 10g以后改为sysaux表空间。可以使用如下的命令,更改logmnr的特定表空间,防止system表空间出现空间不够。
Piner@9iR2>exec sys.dbms_logmnr_d.set_tablespace('USERS');

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Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

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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.


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