解决rpmdb:Lock table is out of available locker entries问题
如果运行一些程序后，远行yum命令出现
“rpmdb: Lock table is out of available locker entries...”的问题时, 你可以按照如下操作来修复它：
www.2cto.com
错误表现如下:
rpmdb: Lock table is out of available locker entries
error: db4 error(22) from db->close: Invalid argument
error: cannot open Packages index using db3 - Cannot allocate memory (12)
error: cannot open Packages database in /var/lib/rpm
操作之前请先备份 /var/lib/rpm ：
tar cvzf rpmdb-backup.tar.gz /var/lib/rpm
去除rpm使用的BDB数据库：
rm /var/lib/rpm/__db.00*
重建立 rpm 使用的数据库，注意：此处可能需要一点时间：
rpm --rebuilddb
现在检查，看看 rpm 包是否一切正常:
rpm -qa | sort
为什么为发生这个问题呢?
其实当您用rpm命令后，rpm访问BDB数据库，首先会设置一个临时锁。如果在它运行时您用 control-c 中断它，或者是给它发了中断信号。那么rpm就很可能会出错误。因为这个临时锁还没有被释放呢。找到原因，相信您还可以找到其它的解决方法。
www.2cto.com
----------------------------------------------------------------------------------------------------------------------
英文原文：
rpmdb: Lock table is out of available locker entries
05.27.2007 | Author: major | Posted in Posts
If up2date throws some horrible Python errors and rpm says “rpmdb: Lock table is out of available locker entries”, you can restore your system to normality with the following:
The errors:
[html]
rpmdb: Lock table is out of available locker entries
error: db4 error(22) from db->close: Invalid argument
error: cannot open Packages index using db3 - Cannot allocate memory (12)
error: cannot open Packages database in /var/lib/rpm
Make a backup of /var/lib/rpm in case you break something:
[html]
tar cvzf rpmdb-backup.tar.gz /var/lib/rpm
Remove the Berkeley databases that rpm uses:
www.2cto.com
[html]
rm /var/lib/rpm/__db.00*
Make rpm rebuild the databases from scratch (may take a short while):
[html]
rpm --rebuilddb
Now, check rpm to make sure everything is okay:
[html]
rpm -qa | sort
Why does this happen?
When rpm accesses the Berkeley database files, it makes temporary locker entries within the tables while it searches for data. If you control-c your rpm processes often, this issue will occur much sooner because the locks are never cleared.
Update: As of February 2009, this post received five times the visits of my next most popular post. This situation must happen very often!