A great deal of information is available via the debug logging system, if you are having issues with minions connecting or not starting run the master in the foreground:
# salt-master -l debug
Anyone wanting to run Salt daemons via a process supervisor such as monit,
runit, or supervisord, should omit the -d
argument to the daemons and
run them in the foreground.
For the master, TCP ports 4505 and 4506 need to be open. If you've put both your Salt master and minion in debug mode and don't see an acknowledgment that your minion has connected, it could very well be a firewall interfering with the connection. See our firewall configuration page for help opening the firewall on various platforms.
If you've opened the correct TCP ports and still aren't seeing connections, check that no additional access control system such as SELinux or AppArmor is blocking Salt.
The salt-master needs at least 2 sockets per host that connects to it, one for the Publisher and one for response port. Thus, large installations may, upon scaling up the number of minions accessing a given master, encounter:
12:45:29,289 [salt.master ][INFO ] Starting Salt worker process 38
Too many open files
sock != -1 (tcp_listener.cpp:335)
The solution to this would be to check the number of files allowed to be opened by the user running salt-master (root by default):
[root@salt-master ~]# ulimit -n
1024
If this value is not equal to at least twice the number of minions, then it
will need to be raised. For example, in an environment with 1800 minions, the
nofile
limit should be set to no less than 3600. This can be done by
creating the file /etc/security/limits.d/99-salt.conf
, with the following
contents:
root hard nofile 4096
root soft nofile 4096
Replace root
with the user under which the master runs, if different.
If your master does not have an /etc/security/limits.d
directory, the lines
can simply be appended to /etc/security/limits.conf
.
As with any change to resource limits, it is best to stay logged into your
current shell and open another shell to run ulimit -n
again and verify that
the changes were applied correctly. Additionally, if your master is running
upstart, it may be necessary to specify the nofile
limit in
/etc/default/salt-master
if upstart isn't respecting your resource limits:
limit nofile 4096 4096
Note
The above is simply an example of how to set these values, and you may wish to increase them even further if your Salt master is doing more than just running Salt.
There are known bugs with ZeroMQ versions less than 2.1.11 which can cause the
Salt master to not respond properly. If you're running a ZeroMQ version greater
than or equal to 2.1.9, you can work around the bug by setting the sysctls
net.core.rmem_max
and net.core.wmem_max
to 16777216. Next, set the third
field in net.ipv4.tcp_rmem
and net.ipv4.tcp_wmem
to at least 16777216.
You can do it manually with something like:
# echo 16777216 > /proc/sys/net/core/rmem_max
# echo 16777216 > /proc/sys/net/core/wmem_max
# echo "4096 87380 16777216" > /proc/sys/net/ipv4/tcp_rmem
# echo "4096 87380 16777216" > /proc/sys/net/ipv4/tcp_wmem
Or with the following Salt state:
1net.core.rmem_max:
2 sysctl:
3 - present
4 - value: 16777216
5
6net.core.wmem_max:
7 sysctl:
8 - present
9 - value: 16777216
10
11net.ipv4.tcp_rmem:
12 sysctl:
13 - present
14 - value: 4096 87380 16777216
15
16net.ipv4.tcp_wmem:
17 sysctl:
18 - present
19 - value: 4096 87380 16777216
If the master seems to be unresponsive, a SIGUSR1 can be passed to the salt-master threads to display what piece of code is executing. This debug information can be invaluable in tracking down bugs.
To pass a SIGUSR1 to the master, first make sure the master is running in the foreground. Stop the service if it is running as a daemon, and start it in the foreground like so:
# salt-master -l debug
Then pass the signal to the master when it seems to be unresponsive:
# killall -SIGUSR1 salt-master
When filing an issue or sending questions to the mailing list for a problem with an unresponsive daemon, be sure to include this information if possible.
When faced with performance problems one can turn on master process profiling by sending it SIGUSR2.
# killall -SIGUSR2 salt-master
This will activate yappi
profiler inside salt-master code, then after some
time one must send SIGUSR2 again to stop profiling and save results to file. If
run in foreground salt-master will report filename for the results, which are
usually located under /tmp
on Unix-based OSes and c:\temp
on windows.
Make sure you have yappi installed.
Results can then be analyzed with kcachegrind or similar tool.
Make sure you have yappi installed.
On Windows, in the absence of kcachegrind, a simple file-based workflow to create profiling graphs could use gprof2dot, graphviz and this batch file:
::
:: Converts callgrind* profiler output to *.pdf, via *.dot
::
@echo off
del *.dot.pdf
for /r %%f in (callgrind*) do (
echo "%%f"
gprof2dot.exe -f callgrind --show-samples "%%f" -o "%%f.dot"
dot.exe "%%f.dot" -Tpdf -O
del "%%f.dot"
)
Depending on your OS (this is most common on Ubuntu due to apt-get) you may
sometimes encounter times where a state.apply
, or other long running commands do not return
output.
By default the timeout is set to 5 seconds. The timeout value can easily be
increased by modifying the timeout
line within your /etc/salt/master
configuration file.
Having keys accepted for Salt minions that no longer exist or are not reachable also increases the possibility of timeouts, since the Salt master waits for those systems to return command results.
Using the -c
option with the Salt command modifies the configuration
directory. When the configuration file is read it will still base data off of
the root_dir
setting. This can result in unintended behavior if you are
expecting files such as /etc/salt/pki
to be pulled from the location
specified with -c
. Modify the root_dir
setting to address this
behavior.
When a command being run via Salt takes a very long time to return
(package installations, certain scripts, etc.) the master may drop you back
to the shell. In most situations the job is still running but Salt has
exceeded the set timeout before returning. Querying the job queue will
provide the data of the job but is inconvenient. This can be resolved by
either manually using the -t
option to set a longer timeout when running
commands (by default it is 5 seconds) or by modifying the master
configuration file: /etc/salt/master
and setting the timeout
value to
change the default timeout for all commands, and then restarting the
salt-master service.
If a state.apply
run takes too long, you can find a bottleneck by adding the
--out=profile
option.
In large installations, care must be taken not to overwhealm the master with authentication requests. Several options can be set on the master which mitigate the chances of an authentication flood from causing an interruption in service.
Note
recon_default:
The average number of seconds to wait between reconnection attempts.
The maximum number of seconds to wait between reconnection attempts.
A flag to indicate whether the recon_default value should be randomized.
The number of seconds to wait for a reply to each authentication request.
The range of seconds across which the minions should attempt to randomize authentication attempts.
The total time to wait for the authentication process to complete, regardless of the number of attempts.
To debug the states, you can use call locally.
salt-call -l trace --local state.highstate
The top.sls file is used to map what SLS modules get loaded onto what minions via the state system.
It is located in the file defined in the file_roots
variable of the salt master
configuration file which is defined by found in CONFIG_DIR/master
, normally /etc/salt/master
The default configuration for the file_roots
is:
file_roots:
base:
- /srv/salt
So the top file is defaulted to the location /srv/salt/top.sls
The salt master uses a cache to track jobs as they are published and returns come back. The recommended umask for a salt-master is 022, which is the default for most users on a system. Incorrect umasks can result in permission-denied errors when the master tries to access files in its cache.