DB2数据库备份中SQL2059W错误解析
一生产AIX服务器上,DB2数据库需要备份,备份中报SQL2059W错误,具体信息如下:$db2backupdbhappydbonlineto/backupincludelogsSQL2059WAdevicefullwarningwasen
一生产AIX服务器上,DB2数据库需要备份,备份中报SQL2059W错误,具体信息如下:
$ db2 backup db happydb online to /backup include logs
SQL2059W A device full warning was encountered on device "/backup".
Do you want to continue(c), terminate this device only(d), abort the utility(t) ? (c/d/t) t
SQL2001N The utility was interrupted. The output data may be incomplete.
这个错误提示一般跟操作系统关系较大,而非DB2数据库的错误。
1、检查文件系统是不是大文件系统,服务器空间,是否有limits限制;
2、检查目录所在的空间是否充足;
其一
1、查看活动的卷
# lsvg -o
rootvg
# lsvg -l rootvg
rootvg:
LV NAME TYPE LPs PPs PVs LV STATE MOUNT POINT
hd5 boot 1 2 2 closed/syncd N/A
hd6 paging 24 48 2 open/syncd N/A
hd8 jfs2log 1 2 2 open/syncd N/A
hd4 jfs2 1 2 2 open/syncd /
hd2 jfs2 40 80 2 open/syncd /usr
hd9var jfs2 4 8 2 open/syncd /var
hd3 jfs2 8 16 2 open/syncd /tmp
hd1 jfs2 140 280 2 open/syncd /home
hd10opt jfs2 16 32 2 open/syncd /opt
lg_dumplv sysdump 8 8 1 open/syncd N/A
paging00 paging 50 50 1 open/syncd N/A
lv002 jfs2 248 496 2 open/syncd /backup
"/backup"的文件系统为JFS2,是支持大文件系统的。对于JFS文件系统,在大多数实例中,多个文件系统使用大小配置为4 MB 的公用日志。例如,在初始安装后,根卷组中的所有文件系统将逻辑卷 hd8 用作公用 JFS 日志。缺省逻辑卷分区大小是 4 MB,缺省日志大小是一个分区,香港服务器,因此,网站空间,根卷组通常包含一个 4 MB 的 JFS 日志。当文件系统超过 2 GB 或使用单个日志的文件系统空间的总量超过 2 GB时,缺省日志大小可能不足。一般来说普通JFS支持的最大文件为2G;支持大文件的JFS为64G;JFS2支持的大文件为1T
2、检查/etc/security/limits文件中的参数,特别注意FSIZE的值。如果出现备份时出现SQL2059W错误,可以vi修改/etc/security/limits文件中的FSIZE的值为-1,注意此更改将在系统重新启动后生效。
default:
fsize = -1
core = 0
cpu = -1
data =-1
rss = 65536
stack = 65536
nofiles =32768 #(-1是无限制)
core_hard = 0
root:
nobody:
db2inst2:
core = -1
data = 491519
stack = 32767
rss = -1
fsize = -1
nofiles =10000
其二
1、查看ROOTVG有没有剩余可扩展的空间

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

MySQL supports four index types: B-Tree, Hash, Full-text, and Spatial. 1.B-Tree index is suitable for equal value search, range query and sorting. 2. Hash index is suitable for equal value searches, but does not support range query and sorting. 3. Full-text index is used for full-text search and is suitable for processing large amounts of text data. 4. Spatial index is used for geospatial data query and is suitable for GIS applications.
