17%
21.08.2012
just two nodes: test1, which is the master node, and n0001, which is the first compute node):
[laytonjb@test1 ~]$ pdsh -w test1,n0001 uptime
test1: 18:57:17 up 2:40, 5 users, load average: 0.00, 0.00
17%
12.09.2013
$st2->execute($dbh->{pg_pid});
16 if( !$st2->fetchrow_arrayref->[0] ) {
17 warn "couldn't stop backend PID=$dbh->{pg_pid}\n";
18 }
19 exit 1;
20 }
21
22 POSIX::sigaction(SIGTERM, POSIX
17%
30.11.2025
_dlm]
root 3467 7 0 20:07 ? 00:00:00 [o2net]
root 3965 7 0 20:24 ? 00:00:00 [ocfs2_wq]
root 7921 7 0 22:40 ? 00:00:00 [o2hb-BD5A574EC8]
root 7935 7
17%
02.08.2022
docker-compose.yaml
version: '3'
services:
target1:
build: .
ports:
- '3000:80'
- '2000:22'
container_name: target1
target2:
build
17%
30.11.2025
is capable of executing jobs at a very high speed. I have used the framework in an environment with more than 3,000 systems; running a job on all of the nodes rarely took more than 30 seconds.
YAML
17%
15.12.2017
:create
19 end
20
21 cookbook_file "#{node['main']['doc_root']}/index.html" do
22 source 'index.html'
23 owner 'www1-data'
24 group 'www1-data'
25 action :create
26 end
27
28 template "/etc/apache2/sites
17%
10.11.2021
less compression but faster compression times and the default compression level being 3
. You can use compression levels 20
to 22
with an additional option. For even faster compression
17%
25.03.2021
/var/www/html;
18
19 # Required for server push:
20 location /css/ {
21 expires 3h;
22 }
23
24 location /js/ {
25 expires 3h;
26 }
27
28 location /index-2.html {
29
17%
20.04.2017
within the NetApp company. Part of the storage was deployed in the corporate data center where the hosts were used by more than 1,000 marketing, sales, and finance employees. The second part of the storage
17%
09.08.2015
('Guards! Guards!', {'de':'Wachen! Wachen!', 'fr' : 'Au Guet!'} );
20
21 create edge Relation from #11:0 to #11:1 set type='Married', from='1993-01-01';
22
23 create edge Appear from #11:0 to #13:0 set
