18%
20.03.2014
": 2048,
07 "resolvers": ["192.168.111.254"],
08 "disks": [
09 {
10 "image_uuid": "1fc068b0-13b0-11e2-9f4e-2f3f6a96d9bc",
11 "boot": true,
12 "model": "virtio"
13 }
14 ],
15
18%
04.02.2013
to the new directory,
cd guacamole-0.6.2-ubuntu-12.04-i386
and install the Guacamole packages. The following one-liner will do this:
sudo dpkg -i guacd_*.deb guacamole_*.deb libguac3_*.deb libguac
18%
14.03.2018
that can be reset. However, with MariaDB 10.0.12, the performance tables are deactivated by default. To activate them, the database admin adds the line
performance_schema=on
to the my.cnf file. Detailed
18%
11.10.2016
straightforward. If a processor was operating at a fixed frequency of 2.0GHz, CPU utilization was the percentage of time the processor spent doing work. (Not doing work is idle
time.) For 50% utilization
18%
04.02.2014
The new PostgreSQL 9.3 release introduces several speed and usability improvements, as well as SQL standards compliance.
... Recheck: 978
11 -> Bitmap Index Scan on mail_msg_idx (cost=0.00..128.03 rows=4 width=0)
12 (actual time=34.925..34.925 rows=1650 loops=1)
13 Index Cond: (msg ~ '(updatable|views)'::text)
14 ...
The new PostgreSQL 9.3 release introduces several speed and usability improvements, as well as SQL standards compliance.
... PostgreSQL 9.3
18%
09.01.2013
-> Bitmap Index Scan on mail_msg_idx (cost=0.00..128.03 rows=4 width=0)
12 (actual time=34.925..34.925 rows=1650 loops=1)
13 Index Cond: (msg ~ '(updatable|views)'::text)
14 Total runtime: 175 ... The new PostgreSQL 9.3 release introduces several speed and usability improvements, as well as SQL standards compliance. ... PostgreSQL 9.3 ... New in PostgreSQL 9.3
18%
30.04.2013
into a ZIP archive:
zip Ubuntu12041.zip /boot/System.map-3.2.0-29-generic module.dwarf
This kernel profile should then be moved to the volatility/plugins/overlays/linux/
directory. The analysis feature
18%
05.12.2014
(plyr)
06 library(ggplot2)
07
08 setwd("~/R/RFI")
09 rfi <- read.csv("rfi-extract-July2011.log",header=TRUE, sep=",")
10
11 ## read in data to frame
12 data <- data.table(rfi)
13 ct <- count
18%
14.03.2013
, and it is uncertain when version 0.10 will be released. Flask requires at least Python 2.5; Python 3 is not currently supported. The easiest approach is to install Flask with Virtualenv [4], which maintains a local
18%
03.02.2022
"monitor": "any"
07 },
08 "keys": "ctrl+1"
09 },
10 {
11 "command":
12 {
13 "action": "globalSummon",
14 "desktop": "onCurrent",
15 "monitor": "toMouse",
16 "name
