清理DBA_DATAPUMP_JOBS中的孤立数据泵作业
今天在重构数据库时(将表空间中的表、索引转移到其它表空间)时,发现有两个奇怪的对象SYS_EXPORT_FULL_01、SYS_EXPORT_FULL_02搜索了一下,发现这个可能是EXPDP导出异常时遗留下的对象,但是搜到的资料不多,不能确认其具体用途以及该表是否删除。后来同事在metalink搜索到How To Cleanup Orphaned DataPump Jobs In DBA_DATAPUMP_JOBS ? (文档 ID 336014.1)这篇文章。了解到这些表的相关详细信息。
如下所示,SYS_EXPORT_FULL_01、SYS_EXPORT_FULL_02是一个完整的数据库导出作业,状态是NOT RUNNING,意味着作业是暂时的停止,实际上作业失败了也是NOT RUNNING状态。
SET lines 200
COL owner_name FORMAT a10;
COL job_name FORMAT a20;
COL state FORMAT a12;
COL operation LIKE state;
COL job_mode LIKE state;
COL owner.object for a50;
-- locate Data Pump jobs:
SELECT owner_name, job_name, rtrim(operation) "OPERATION",
rtrim(job_mode) "JOB_MODE", state, attached_sessions
FROM dba_datapump_jobs
WHERE job_name NOT LIKE 'BIN$%'
ORDER BY 1,2;
-- locate Data Pump master tables:
SELECT o.status, o.object_id, o.object_type,
o.owner||'.'||object_name "OWNER.OBJECT"
FROM dba_objects o, dba_datapump_jobs j
WHERE o.owner=j.owner_name AND o.object_name=j.job_name
AND j.job_name NOT LIKE 'BIN$%' ORDER BY 4,2;
这表示以前(可能是很久以前)停止的作业,当然这些作业不可能重新启动,完全可以删除这些master表.
DROP TABLE ADMIN.SYS_EXPORT_FULL_01;
DROP TABLE ADMIN.SYS_EXPORT_FULL_02;
How To Cleanup Orphaned DataPump Jobs In DBA_DATAPUMP_JOBS ? (文档 ID 336014.1) 中的详细内容介绍如下所示:
The jobs used in this example:
- Export job SCOTT.EXPDP_20051121 is a schema level export that is running
- Export job SCOTT.SYS_EXPORT_TABLE_01 is an orphaned table level export job
- Export job SCOTT.SYS_EXPORT_TABLE_02 is a table level export job that was stopped
- Export job SYSTEM.SYS_EXPORT_FULL_01 is a full database export job that is temporary stopped
Step 1. Determine in SQL*Plus which Data Pump jobs exist in the database:
%sqlplus /nolog
CONNECT / as sysdba
SET lines 200
COL owner_name FORMAT a10;
COL job_name FORMAT a20
COL state FORMAT a12
COL operation LIKE state
COL job_mode LIKE state
COL owner.object for a50
-- locate Data Pump jobs:
SELECT owner_name, job_name, rtrim(operation) "OPERATION",
rtrim(job_mode) "JOB_MODE", state, attached_sessions
FROM dba_datapump_jobs
WHERE job_name NOT LIKE 'BIN$%'
ORDER BY 1,2;
OWNER_NAME JOB_NAME OPERATION JOB_MODE STATE ATTACHED
---------- ------------------- --------- --------- ----------- --------
SCOTT EXPDP_20051121 EXPORT SCHEMA EXECUTING 1
SCOTT SYS_EXPORT_TABLE_01 EXPORT TABLE NOT RUNNING 0
SCOTT SYS_EXPORT_TABLE_02 EXPORT TABLE NOT RUNNING 0
SYSTEM SYS_EXPORT_FULL_01 EXPORT FULL NOT RUNNING 0
Step 2. Ensure that the listed jobs in dba_datapump_jobs are not export/import Data Pump jobs that are active: status should be 'NOT RUNNING'.
Step 3. Check with the job owner that the job with status 'NOT RUNNING' in dba_datapump_jobs is not an export/import Data Pump job that has been temporary stopped, but is actually a job that failed. (E.g. the full database export job by SYSTEM is not a job that failed, but was deliberately paused with STOP_JOB).
Step 4. Determine in SQL*Plus the related master tables:
-- locate Data Pump master tables:
SELECT o.status, o.object_id, o.object_type,
o.owner||'.'||object_name "OWNER.OBJECT"
FROM dba_objects o, dba_datapump_jobs j
WHERE o.owner=j.owner_name AND o.object_name=j.job_name
AND j.job_name NOT LIKE 'BIN$%' ORDER BY 4,2;
STATUS OBJECT_ID OBJECT_TYPE OWNER.OBJECT
------- ---------- ------------ -------------------------
VALID 85283 TABLE SCOTT.EXPDP_20051121
VALID 85215 TABLE SCOTT.SYS_EXPORT_TABLE_02
VALID 85162 TABLE SYSTEM.SYS_EXPORT_FULL_01
Step 5. For jobs that were stopped in the past and won't be restarted anymore, delete the master table. E.g.:
DROP TABLE scott.sys_export_table_02;
-- For systems with recycle bin additionally run:
purge dba_recyclebin;
NOTE:
In case the table name is mixed case, you can get errors on the drop, e.g.:
SQL> drop table SYSTEM.impdp_schema_STGMDM_10202014_0;
drop table SYSTEM.impdp_schema_STGMDM_10202014_0
*
ERROR at line 1:
ORA-00942: table or view does not exist
Because the table has a mixed case, try using these statements with double quotes around the table name, for instance:
drop table SYSTEM."impdp_SCHEMA_STGMDM_04102015_1";
drop table SYSTEM."impdp_schema_STGMDM_10202014_0";
Step 6. Re-run the query on dba_datapump_jobs and dba_objects (step 1 and 4). If there are still jobs listed in dba_datapump_jobs, and these jobs do not have a master table anymore, cleanup the job while connected as the job owner. E.g.:
CONNECT scott/tiger
SET serveroutput on
SET lines 100
DECLARE
h1 NUMBER;
BEGIN
h1 := DBMS_DATAPUMP.ATTACH('SYS_EXPORT_TABLE_01','SCOTT');
DBMS_DATAPUMP.STOP_JOB (h1);
END;
/
Note that after the call to the STOP_JOB procedure, it may take some time for the job to be removed. Query the view user_datapump_jobs to check whether the job has been removed:
CONNECT scott/tiger
SELECT * FROM user_datapump_jobs;
Step 7. Confirm that the job has been removed:
CONNECT / as sysdba
SET lines 200
COL owner_name FORMAT a10;
COL job_name FORMAT a20
COL state FORMAT a12
COL operation LIKE state
COL job_mode LIKE state
COL owner.object for a50
-- locate Data Pump jobs:
SELECT owner_name, job_name, rtrim(operation) "OPERATION",
rtrim(job_mode) "JOB_MODE", state, attached_sessions
FROM dba_datapump_jobs
WHERE job_name NOT LIKE 'BIN$%'
ORDER BY 1,2;
OWNER_NAME JOB_NAME OPERATION JOB_MODE STATE ATTACHED
---------- ------------------- --------- --------- ----------- --------
SCOTT EXPDP_20051121 EXPORT SCHEMA EXECUTING 1
SYSTEM SYS_EXPORT_FULL_01 EXPORT FULL NOT RUNNING 0
-- locate Data Pump master tables:
SELECT o.status, o.object_id, o.object_type,
o.owner||'.'||object_name "OWNER.OBJECT"
FROM dba_objects o, dba_datapump_jobs j
WHERE o.owner=j.owner_name AND o.object_name=j.job_name
AND j.job_name NOT LIKE 'BIN$%' ORDER BY 4,2;
STATUS OBJECT_ID OBJECT_TYPE OWNER.OBJECT
------- ---------- ------------ -------------------------
VALID 85283 TABLE SCOTT.EXPDP_20051121
VALID 85162 TABLE SYSTEM.SYS_EXPORT_FULL_01
Remarks:
1. Orphaned Data Pump jobs do not have an impact on new Data Pump jobs. The view dba_datapump_jobs is a view, based on gv$datapump_job, obj$, com$, and user$. The view shows the Data Pump jobs that are still running, or jobs for which the master table was kept in the database, or in case of an abnormal end of the Data Pump job (the orphaned job). If a new Data Pump job is started, a new entry will be created, which has no relation to the old Data Pump jobs.
2. When starting the new Data Pump job and using a system generated name, we check the names of existing Data Pump jobs in the dba_datapump_job in order to obtain a unique new system generated jobname. Naturally, there needs to be enough free space for the new master table to be created in the schema that started the new Data Pump job.
3. A Data Pump job is not the same as a job that is defined with DBMS_JOBS. Jobs created with DBMS_JOBS use there own processes. Data Pump jobs use a master process and worker process(es). In case a Data Pump still is temporary stopped (STOP_JOB while in interactive command mode), the Data Pump job still exists in the database (status: NOT RUNNING), while the master and worker process(es) are stopped and do not exist anymore. The client can attach to the job at a later time, and continue the job execution (START_JOB).
4. The possibility of corruption when the master table of an active Data Pump job is deleted, depends on the Data Pump job.
4.a. If the job is an export job, corruption is unlikely as the drop of the master table will only cause the Data Pump master and worker processes to abort. This situation is similar to aborting an export of the original export client.
4.b. If the job is an import job then the situation is different. When dropping the master table, the Data Pump worker and master processes will abort. This will probably lead to an incomplete import: e.g. not all table data was imported, and/or table was imported incomplete, and indexes, views, etc. are missing. This situation is similar to aborting an import of the original import client.
The drop of the master table itself, does not lead to any data dictionary corruption. If you keep the master table after the job completes (using the undocumented parameter: KEEP_MASTER=Y), then a drop of the master table afterwards, will not cause any corruption.
5. Instead of the status 'NOT RUNNING' the status of a failed job could also be 'DEFINING'. When trying to attach to such a job, this would fail with:
$ expdp system/manager attach=system.sys_export_schema_01
Export: Release 11.2.0.4.0 - Production on Tue Jan 27 10:14:27 2015
Copyright (c) 1982, 2011, Oracle and/or its affiliates. All rights reserved.
Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.4.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
ORA-31626: job does not exist
ORA-06512: at "SYS.DBMS_SYS_ERROR", line 79
ORA-06512: at "SYS.KUPV$FT", line 405
ORA-31638: cannot attach to job SYS_EXPORT_SCHEMA_01 for user SYSTEM
ORA-31632: master table "SYSTEM.SYS_EXPORT_SCHEMA_01" not found, invalid, or inaccessible
ORA-00942: table or view does not exist
The steps to cleanup these failed/orphaned jobs are the same as mentioned above.
清理DBA_DATAPUMP_JOBS中的孤立数据泵作业的更多相关文章
- 如何清除 DBA_DATAPUMP_JOBS 视图中的异常数据泵作业
解决方案 用于这个例子中的作业: - 导出作业 SCOTT.EXPDP_20051121 是一个正在运行的 schema 级别的导出作业 - 导出作业 SCOTT.SYS_EXPORT_TABLE_0 ...
- oracle中使用impdp数据泵导入数据提示“ORA-31684:对象类型已经存在”错误的解决
转载请注明出处:http://blog.csdn.net/dongdong9223/article/details/47448751 本文出自[我是干勾鱼的博客] oracle中使用impdp数据泵导 ...
- Oracle12c中数据泵新特性之功能增强(expdp, impdp)
Oracle的数据泵功能在10g中被引进.本文对数据泵在12c中的增强做一个概览. 1. 禁用日志选项(DISABLE_ARCHIVE_LOGGING) Impdp的TRANSFORM参数已经扩展 ...
- ORACLE 数据泵 expdp/impdp
ORACLE 数据泵 expdp/impdp 一.概念 Oracle Database 10g 引入了最新的数据泵(Data Dump)技术,数据泵导出导入 (EXPDP 和 IMPDP)的作用: 1 ...
- Oracle数据泵的使用
几乎所有DBA都熟悉oracle的导出和导入实用程序,它们将数据装载进或卸载出数据库,在oracle database 10g和11g中,你必须使用更通用更强大的数据泵导出和导入(Data Pump ...
- ORACLE数据泵使用详解
来源于:http://blog.sina.com.cn/s/blog_490a0c990100wh4y.html http://blog.csdn.net/jojo52013145/article/d ...
- ORACLE数据泵还原(IMPDP命令)【转】
Oracle数据库还原IMPDP命令是相对于EXPDP命令的,方向是反向的.即对于数据库备份进行还原操作.一.知晓IMPDP命令 ? C:\>impdp -help Import: Rele ...
- oracle数据泵备份(Expdp命令)[转]
Oracle备份方式主要分为数据泵导出备份.热备份与冷备份三种,今天首先来实践一下数据泵备份与还原.数据泵导出/导入属于逻辑备份,热备份与冷备份都属于物理备份.oracle10g开始推出了数据泵( ...
- Oracle基础 数据泵导出/导入Expdp/impdp(转)
一.EXPDP和IMPDP使用说明 Oracle Database 10g引入了最新的数据泵(Data Dump)技术,数据泵导出导入(EXPDP和IMPDP)的作用 1)实现逻辑备份和逻辑恢复. 2 ...
随机推荐
- iOS 阶段学习第九天笔记(内存管理)
iOS学习(C语言)知识点整理 一.内存管理 1)malloc , 用于申请内存; 结构void *malloc(size_t),需要引用头文件<stdlib.h>:在堆里面申请内存,si ...
- Ado.net 三[SQL注入,DataAdapter,sqlParameter,DataSet]
1.SQL注入:SQL注入攻击是web应用程序的一种安全漏洞,可以将不安全的数据提交给运用程序,使应用程序在服务器上执行不安全的sql命令.使用该攻击可以轻松的登录运用程序. 例如:该管理员账号密码为 ...
- 不可或缺 Windows Native (21) - C++: 继承, 组合, 派生类的构造函数和析构函数, 基类与派生类的转换, 子对象的实例化, 基类成员的隐藏(派生类成员覆盖基类成员)
[源码下载] 不可或缺 Windows Native (21) - C++: 继承, 组合, 派生类的构造函数和析构函数, 基类与派生类的转换, 子对象的实例化, 基类成员的隐藏(派生类成员覆盖基类成 ...
- mysql之TIMESTAMP(时间戳)用法详解
一.TIMESTAMP的变体 TIMESTAMP时间戳在创建的时候可以有多重不同的特性,如: 1.在创建新记录和修改现有记录的时候都对这个数据列刷新: ? 1 TIMESTAMP DEFAULT CU ...
- No.020:Valid Parentheses
问题: Given a string containing just the characters '(', ')', '{', '}', '[' and ']', determine if the ...
- java 小程序-- 汉诺塔
1.code public static void main(String[] args) { ; moveDish(, 'A', 'B', 'C'); } public static void mo ...
- 十大Intellij IDEA快捷键
转载:http://blog.csdn.net/dc_726/article/details/42784275 Intellij IDEA中有很多快捷键让人爱不释手,stackoverflow上也有一 ...
- JS Nice – JavaScript 代码美化和格式化工具
JS Nice 是一款让经过混淆处理的 JavaScript 代码可读更好的工具.它使用一种新型的用于 JavaScript 代码美化的去混淆和去压缩引擎.JSNice 采用先进的机器学习和程序分析技 ...
- 在Sharepoint 2013中,使用JS判断当前用户是否在某个组里面
使用Sharepoint客户端对象模型,判断当前用户是否在某个组里面. 在View 和 Edit List Item的时候使用,使用户编辑修改List Item的时候有权限的区分. 在Edit 页面加 ...
- JavaScript学习01 语言简介、基本使用和变量声明
JavaScript语言简介.基本使用和变量声明 JavaScript是网景(Netscape)公司开发的一种基于客户端浏览器.面向对象.事件驱动式的网页脚本语言. JavaScript的前身叫Liv ...

