juju is slow to do anything

Kapil Thangavelu kapil.thangavelu at canonical.com
Mon Sep 2 01:12:14 UTC 2013

Hi Folks,

Just to followup after some more investigation. For me on an ec2
environment with 1-2 services, juju status was taking about 35s. I
instrumented the code base a little, and found that roughly 25s is endpoint
lookup (both s3 and ec2 api). That overhead was constant across any of the
juju commands. So number #3 would be the biggest win, i went ahead and
filed issue 1219441 for it. It seems like low hanging fruit that delivers a
big win for the ux.

i went ahead and put together a juju cli plugin that does a status
approximation using endpoint caching and the api and was able to drop that
time down to 5s (from 35s on my env) and down to 2.5s on Peter's
environment. attached, inline docs and install instructions.

also regarding the dead machines stuck in pending state, there's a bug
outstanding for that https://bugs.launchpad.net/juju-core/+bug/1217781



On Fri, Aug 30, 2013 at 2:15 PM, John Arbash Meinel
<john at arbash-meinel.com>wrote:

> Hash: SHA1
> On 2013-08-30 14:28, Peter Waller wrote:
> > For the record, I sent the link privately. The run took about 22s
> > but I have measured 30s to 1m.
> Some thoughts, nothing that I can give absolute confirmation on.
> 1) Next week we have a group sprinting on moving a lot of the command
> line operations from being evaluated by the client into being
> evaluated by the API server (running in the cloud) and then returned.
> The explicit benefits that I've seen in other commands are pretty good.
> 'juju status' is going to be a command that should see a rather large
> improvement. Because it does round trip queries for a lot of things
> (what machines are there, what are the details of each machine, what
> are the units running on each one, etc).
> I've prototyped doing those queries in parallel, or trying to do bulk
> ops, which actually helped a lot in testing (this was for hundreds of
> units/machines).
> Doing it on the API server means any round trips are "local" rather
> than from your machine out to Amazon.
> 2) From here, 'time juju status' with a single instance running on ec2
> is 10s. Which breaks down roughly 4s to lookup the IP address, 2s to
> establish the state, and 4s to "finish up". (resolution of this is 1s
> granularity)
> Similarly "time juju-1.13.2 get not-service" takes 8.5s to run. 4s to
> lookup the address, 2s to connect, and 3s to give the final 'not
> found' result.
> With trunk, "time ./juju get not-service" is 4.6s. 2s to lookup IP
> address, 2s to connect, and the not-found result is instantaneous.
> So I would expect the 10s of a generic "juju status" to easily drop
> down to sub 5s. Regardless of any round-trip issues.
> 3) We are also looking to cache the IP address of the API server, to
> shave off another ~2-4s for the common case that the address hasn't
> changed. (We'll fall back to our current discovery mechanism.)
> 4) There seems to be an odd timing of your screen cast. It does report
> 22s which matches the times reported in the debug output. But the
> total time of the video is 20s including typing. Is it just running
> 2:1 speed?
> You can see from the debug that you have 7s to lookup the address to
> connect to, and then about 1s to connect. The rest is time spent
> gathering the information.
> I expect it to get a whole lot faster in a couple more weeks, but I'm
> not going to guarantee that until we've finished the work.
> 5) If I counted correctly, you have about 23 "machines" that are being
> considered. A bunch of them down/pending/errored.
> I would think for the errored ones you could do some sort of "juju
> destroy-machine". It might make things better (less time spent
> checking on machines you don't care about.)
> What happens when you try it? (There may be other issues that make us
> think we are waiting for something to happen with a machine that we
> don't want to destroy it.)
> Anyway in summary, this should be getting better, but I won't have
> explicit numbers until the work is done.
> John
> =:->
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