清理DBA_DATAPUMP_JOBS中的失败数据泵作业

2023-10-29 15:48

本文主要是介绍清理DBA_DATAPUMP_JOBS中的失败数据泵作业,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

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。

SELECT owner_name,job_name,rtrim(operation) "OPERATION",rtrim(job_mode) "JOB_MODE",state,attached_sessionsFROM dba_datapump_jobsWHERE job_name NOT LIKE 'BIN$%'ORDER BY 1, 2;

查看作业的master表

SELECT o.status,o.object_id,o.object_type,o.owner || '.' || object_name "OWNER.OBJECT"FROM dba_objects o, dba_datapump_jobs jWHERE o.owner = j.owner_nameAND o.object_name = j.job_nameAND 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 SYSTEM.SYS_EXPORT_SCHEMA_01

metalink文章《How To Cleanup Orphaned DataPump Jobs In DBA_DATAPUMP_JOBS ? (文档 ID 336014.1)》

APPLIES TO:
Oracle Database - Standard Edition - Version 10.1.0.2 to 12.2.0.1 [Release 10.1 to 12.2]
Enterprise Manager for Oracle Database - Version 10.1.0.2 to 12.1.0.7.0 [Release 10.1 to 12.1]
Oracle Database - Personal Edition - Version 10.1.0.2 to 12.2.0.1 [Release 10.1 to 12.2]
Oracle Database - Enterprise Edition - Version 10.1.0.2 to 12.2.0.1 [Release 10.1 to 12.2]
Information in this document applies to any platform.
***Checked for relevance on 29-Apr-2014***GOAL
How to cleanup orphaned Data Pump jobs in DBA_DATAPUMP_JOBS ?SOLUTION
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 stoppedStep 1. Determine in SQL*Plus which Data Pump jobs exist in the database:%sqlplus /nologCONNECT / 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_sessionsFROM dba_datapump_jobsWHERE job_name NOT LIKE 'BIN$%'ORDER BY 1,2;OWNER_NAME JOB_NAME            OPERATION JOB_MODE  STATE       ATTACHED
---------- ------------------- --------- --------- ----------- --------
SCOTT      EXPDP_20051121      EXPORT    SCHEMA    EXECUTING          1
SCOTT      SYS_EXPORT_TABLE_01 EXPORT    TABLE     NOT RUNNING        0 
SCOTT      SYS_EXPORT_TABLE_02 EXPORT    TABLE     NOT RUNNING        0 
SYSTEM     SYS_EXPORT_FULL_01  EXPORT    FULL      NOT RUNNING        0
Step 2. Ensure that the listed jobs in dba_datapump_jobs are not export/import Data Pump jobs that are active: status should be 'NOT RUNNING'.Step 3. Check with the job owner that the job with status 'NOT RUNNING' in dba_datapump_jobs is not an export/import Data Pump job that has been temporary stopped, but is actually a job that failed. (E.g. the full database export job by SYSTEM is not a job that failed, but was deliberately paused with STOP_JOB).Step 4. Identify orphan DataPump external tables. To do this, run the following as SYSDBA in SQL*Plus:set linesize 200 trimspool on
set pagesize 2000
col owner form a30
col created form a25
col last_ddl_time form a25
col object_name form a30
col object_type form a25
select OWNER,OBJECT_NAME,OBJECT_TYPE, status,
to_char(CREATED,'dd-mon-yyyy hh24:mi:ss') created ,to_char(LAST_DDL_TIME , 'dd-mon-yyyy hh24:mi:ss') last_ddl_time
from dba_objects
where object_name like 'ET$%'
/select owner, TABLE_NAME, DEFAULT_DIRECTORY_NAME, ACCESS_TYPE
from dba_external_tables
order by 1,2
/Correlate the information from DBA_OBJECTS and DBA_EXTERNAL TABLES above to identify the temporary external tables that belong to the DataPump orphaned jobs.
Drop the temporary external tables that belong to the DataPump orphaned job. eg:SQL> drop table system.&1 purge;
Enter value for 1: ET$00654E1E0001
old 1: drop table system.&1 purge
new 1: drop table system.ET$00654E1E0001 purgeStep 5. Determine in SQL*Plus the related master tables:-- locate Data Pump master tables: SELECT o.status, o.object_id, o.object_type, o.owner||'.'||object_name "OWNER.OBJECT" FROM dba_objects o, dba_datapump_jobs j WHERE o.owner=j.owner_name AND o.object_name=j.job_name AND j.job_name NOT LIKE 'BIN$%' 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_01select table_name, owner from dba_external_tables;Step 6. 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 existBecause 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 7. 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 8. 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_sessionsFROM dba_datapump_jobsWHERE 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_01Remarks:
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_01Export: 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.

 

参考

How To Cleanup Orphaned DataPump Jobs In DBA_DATAPUMP_JOBS ? (文档 ID 336014.1)

这篇关于清理DBA_DATAPUMP_JOBS中的失败数据泵作业的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/301667

相关文章

Springboot项目启动失败提示找不到dao类的解决

《Springboot项目启动失败提示找不到dao类的解决》SpringBoot启动失败,因ProductServiceImpl未正确注入ProductDao,原因:Dao未注册为Bean,解决:在启... 目录错误描述原因解决方法总结***************************APPLICA编

SpringBoot多环境配置数据读取方式

《SpringBoot多环境配置数据读取方式》SpringBoot通过环境隔离机制,支持properties/yaml/yml多格式配置,结合@Value、Environment和@Configura... 目录一、多环境配置的核心思路二、3种配置文件格式详解2.1 properties格式(传统格式)1.

解决pandas无法读取csv文件数据的问题

《解决pandas无法读取csv文件数据的问题》本文讲述作者用Pandas读取CSV文件时因参数设置不当导致数据错位,通过调整delimiter和on_bad_lines参数最终解决问题,并强调正确参... 目录一、前言二、问题复现1. 问题2. 通过 on_bad_lines=‘warn’ 跳过异常数据3

C#监听txt文档获取新数据方式

《C#监听txt文档获取新数据方式》文章介绍通过监听txt文件获取最新数据,并实现开机自启动、禁用窗口关闭按钮、阻止Ctrl+C中断及防止程序退出等功能,代码整合于主函数中,供参考学习... 目录前言一、监听txt文档增加数据二、其他功能1. 设置开机自启动2. 禁止控制台窗口关闭按钮3. 阻止Ctrl +

java如何实现高并发场景下三级缓存的数据一致性

《java如何实现高并发场景下三级缓存的数据一致性》这篇文章主要为大家详细介绍了java如何实现高并发场景下三级缓存的数据一致性,文中的示例代码讲解详细,感兴趣的小伙伴可以跟随小编一起学习一下... 下面代码是一个使用Java和Redisson实现的三级缓存服务,主要功能包括:1.缓存结构:本地缓存:使

在MySQL中实现冷热数据分离的方法及使用场景底层原理解析

《在MySQL中实现冷热数据分离的方法及使用场景底层原理解析》MySQL冷热数据分离通过分表/分区策略、数据归档和索引优化,将频繁访问的热数据与冷数据分开存储,提升查询效率并降低存储成本,适用于高并发... 目录实现冷热数据分离1. 分表策略2. 使用分区表3. 数据归档与迁移在mysql中实现冷热数据分

C#解析JSON数据全攻略指南

《C#解析JSON数据全攻略指南》这篇文章主要为大家详细介绍了使用C#解析JSON数据全攻略指南,文中的示例代码讲解详细,感兴趣的小伙伴可以跟随小编一起学习一下... 目录一、为什么jsON是C#开发必修课?二、四步搞定网络JSON数据1. 获取数据 - HttpClient最佳实践2. 动态解析 - 快速

SpringBoot整合Dubbo+ZK注册失败的坑及解决

《SpringBoot整合Dubbo+ZK注册失败的坑及解决》使用Dubbo框架时,需在公共pom添加依赖,启动类加@EnableDubbo,实现类用@DubboService替代@Service,配... 目录1.先看下公共的pom(maven创建的pom工程)2.启动类上加@EnableDubbo3.实

MyBatis-Plus通用中等、大量数据分批查询和处理方法

《MyBatis-Plus通用中等、大量数据分批查询和处理方法》文章介绍MyBatis-Plus分页查询处理,通过函数式接口与Lambda表达式实现通用逻辑,方法抽象但功能强大,建议扩展分批处理及流式... 目录函数式接口获取分页数据接口数据处理接口通用逻辑工具类使用方法简单查询自定义查询方法总结函数式接口

SQL中如何添加数据(常见方法及示例)

《SQL中如何添加数据(常见方法及示例)》SQL全称为StructuredQueryLanguage,是一种用于管理关系数据库的标准编程语言,下面给大家介绍SQL中如何添加数据,感兴趣的朋友一起看看吧... 目录在mysql中,有多种方法可以添加数据。以下是一些常见的方法及其示例。1. 使用INSERT I