14%
09.01.2013
OR REPLACE FUNCTION public.deny_alter_table()
02 RETURNS event_trigger
03 LANGUAGE plpgsql
04 AS $function$
05 BEGIN
06
07 RAISE EXCEPTION '% is disabled', TG_TAG;
08
09 END;
10 $function$
11
12
14%
29.09.2020
-line operations.
To install Dockly [3], you can choose one of two routes: with npm (see the "Installation by npm" box for that route) and in a Docker container. For context, on my laptop, about 43MB of file space
14%
09.08.2015
resources = Resources(cpu = 0.1, ram = 20*MB, disk = 20*MB),
09 processes = [hello_world_process])
10
11 hello_world_job = Job(
12 cluster = 'test',
13 role = os.getenv('USER'),
14 task = hello
14%
04.08.2020
] are impressive, although Node.js, Ruby, Golang, Java, PHP, and other languages can be expected to achieve similar results.
Listing 1
Python Minify Results
from ubuntu:14.04 - 438MB => 16.8MB
14%
01.08.2019
CREATED SIZE
nginx f09fe80eb0e7 12 days ago 109MB
nginx latest 35640fed495c 12 days ago 109MB
Backdoor Access
Considering how well Docker Scan handled
14%
30.01.2020
: 1 (f=1): [w(1)][100.0%][r=0KiB/s,w=1401KiB/s][r=0,w=350 IOPS][eta 00m:00s]
test: (groupid=0, jobs=1): err= 0: pid=3104: Sat Oct 12 14:39:08 2019
write: IOPS=352, BW=1410KiB/s (1444kB/s)(82.8Mi
14%
30.11.2025
System (output follows)
09 DOWNLOAD PKGS FILES XFER (MB)
10 Completed 20/20 3021/3021 42.55/42.55
11
12 PHASE
14%
30.11.2025
.appengine.ext.webapp import template
07
08 class MyHandler(webapp.RequestHandler):
09 def get(self):
10 variable1 = "No"
11 variable2 = "Idea"
12
13 template_values = {
14 'firstname': variable1,
15
14%
22.05.2012
:
Scientific Linux 6.2
2.6.32-220.4.1.el6.x86_64 kernel
GigaByte MAA78GM-US2H motherboard
AMD Phenom II X4 920 CPU (four cores)
8GB of memory (DDR2-800)
The OS and boot drive are on an IBM DTLA
14%
19.02.2013
zebra
05 log stdout
06 !
07 router bgp 64513
08 bgp router-id 192.168.1.253
09 redistribute kernel
10 redistribute connected
11 neighbor 192.168.1.200 remote-as 64515
12 neighbor 192
