[Avocado-devel] RFC: Multi-host tests

Lukáš Doktor ldoktor at redhat.com
Tue Mar 29 07:11:12 UTC 2016


Dne 28.3.2016 v 21:49 Cleber Rosa napsal(a):
>
>
> ----- Original Message -----
>> From: "Cleber Rosa" <crosa at redhat.com>
>> To: "Lukáš Doktor" <ldoktor at redhat.com>
>> Cc: "Amador Pahim" <apahim at redhat.com>, "avocado-devel" <avocado-devel at redhat.com>, "Ademar Reis" <areis at redhat.com>
>> Sent: Monday, March 28, 2016 4:44:15 PM
>> Subject: Re: [Avocado-devel] RFC: Multi-host tests
>>
>>
>>
>> ----- Original Message -----
>>> From: "Lukáš Doktor" <ldoktor at redhat.com>
>>> To: "Ademar Reis" <areis at redhat.com>, "Cleber Rosa" <crosa at redhat.com>,
>>> "Amador Pahim" <apahim at redhat.com>, "Lucas
>>> Meneghel Rodrigues" <lookkas at gmail.com>, "avocado-devel"
>>> <avocado-devel at redhat.com>
>>> Sent: Saturday, March 26, 2016 4:01:15 PM
>>> Subject: RFC: Multi-host tests
>>>
>>> Hello guys,
>>>
>>> Let's open a discussion regarding the multi-host tests for avocado.
>>>
>>> The problem
>>> ===========
>>>
>>> A user wants to run netperf on 2 machines. To do it manually he does:
>>>
>>>       machine1: netserver -D
>>>       machine1: # Wait till netserver is initialized
>>>       machine2: netperf -H $machine1 -l 60
>>>       machine2: # Wait till it finishes and report store the results
>>>       machine1: # stop the netserver and report possible failures
>>>
>>> Now how to support this in avocado, ideally as custom tests, ideally
>>> even with broken connections/reboots?
>>>
>>>
>>> Super tests
>>> ===========
>>>
>>> We don't need to do anything and leave everything on the user. He is
>>> free to write code like:
>>>
>>>       ...
>>>       machine1 = aexpect.ShellSession("ssh $machine1")
>>>       machine2 = aexpect.ShellSession("ssh $machine2")
>>>       machine1.sendline("netserver -D")
>>>       # wait till the netserver starts
>>>       machine1.read_until_any_line_matches(["Starting netserver"], 60)
>>>       output = machine2.cmd_output("netperf -H $machine1 -l $duration")
>>>       # interrupt the netserver
>>>       machine1.sendline("\03")
>>>       # verify netserver finished
>>>       machine1.cmd("true")
>>>       ...
>>>
>>> the problem is it requires active connection and the user needs to
>>> manually handle the results.
>>
>> And of course the biggest problem here is that it doesn't solve the
>> Avocado problem: providing a framework and tools for tests that span
>> multiple (Avocado) execution threads, possibly on multiple hosts.
>>
Well it does, each "ShellSession" is a new parallel process. The only 
problem I have with this design is that it does not allow easy code 
reuse and the results strictly depend on the test writer.

>>>
>>>
>>> Triggered simple tests
>>> ======================
>>>
>>> Alternatively we can say each machine/worker is nothing but yet another
>>> test, which occasionally needs a synchronization or data-exchange. The
>>> same example would look like this:
>>>
>>> machine1.py:
>>>
>>>      process.run("netserver")
>>>      barrier("server-started", 2)
>>>      barrier("test-finished", 2)
>>>      process.run("killall netserver")
>>>
>>> machine2.py:
>>>
>>>       barrier("server-started", 2)
>>>       self.log.debug(process.run("netperf -H %s -l 60"
>>>                                  % params.get("server_ip"))
>>>       barrier("test-finished", 2)
>>>
>>> where "barrier(name, no_clients)" is a framework function which makes
>>> the process wait till the specified number of processes are waiting for
>>> the same barrier.
>>
>> The barrier mechanism looks like an appropriate and useful utility for the
>> example given.  Even though your use case example explicitly requires it,
>> it's worth pointing out and keeping in mind that there may be valid use cases
>> which won't require any kind of synchronization.  This may even be true to
>> the executions of tests that spawn multiple *local* "Avocado runs".
>>
Absolutely, this would actually allow Julio to run his "Parallel 
(clustered) testing".

>>>
>>> The barrier needs to know which server to use for communication so we
>>> can either create a new service, or simply use one of the executions as
>>> "server" and make both processes use it for data exchange. So to run the
>>> above tests the user would have to execute 2 avocado commands:
>>>
>>>       avocado run machine1.py --sync-server machine1:6547
>>>       avocado run machine2.py --remote-hostname machine2 --mux-inject
>>> server_ip:machine1 --sync machine1:6547
>>>
>>> where:
>>>       --sync-server tells avocado to listen on ip address machine1 port 6547
>>>       --remote-hostname tells the avocado to run remotely on machine2
>>>       --mux-inject adds the "server_ip" into params
>>>       --sync tells the second avocado to connect to machine1:6547 for
>>> synchronization
>>
>> To be honest, apart from the barrier utility, this provides little value
>> from the PoV of a *test framework*, and possibly unintentionally, competes
>> and overlaps with "remote" tools such as fabric.
>>
>> Also, given that the multiplexer is an optional Avocado feature, such
>> a feature should not depend on it.
It does not, these are only used to demonstrate this particular feature. 
You can hardcode the values in the tests, you can use env-variables or 
any other feature.

Basically this "mht" format is nothing more, than list of "avocado run" 
commands to be executed in parallel and it's focus was on simplicity, 
maybe even only for demonstration purposes.

>>
>>>
>>> Running those two tests has only one benefit compare to the previous
>>> solution and that is it gathers the results independently and makes
>>> allows one to re-use simple tests. For example you can create a 3rd
>>> test, which uses different params for netperf, run it on "machine2" and
>>> keep the same script for "machine1". Or running 2 netperf senders at the
>>> same time. This would require libraries and more custom code when using
>>> "Super test" approach.
>>>
>>> There are additional benefits for this solution. When we introduce the
>>> locking API, tests running on a remote machine will be actually directly
>>> executed in avocado, therefor the locking API will work for them,
>>> avoiding problems with multiple tests using the same shared resource.
>>>
>>> Another future benefit would be system reboot/lost connection when we
>>> introduce this support for individual tests. The way it'd work is that
>>> user triggers the jobs, the master remembers the test ids and would poll
>>> for results until they finish/timeout.
>>>
>>> All of this we get for free thanks to re-using the existing
>>> infrastructure (or the future infrastructure), so I believe this is the
>>> right way to go and in this RFC I'm describing details of this approach.
>>>
>>
>> All of the benefits listed are directly based on the fact that tests on
>> remote systems would be run under the Avocado test runner and would have
>> it's runtime libraries available.  This is a valid point, but again it
>> doesn't bring a significant change in the user experience wrt running
>> tests that span multiple "Avocado runs" (possibly on remote machines).
>>
Basically this is the key part of this RFC. I like the idea of running 
avocado processes for each test, instead of yet another remote execution 
handling. The biggest benefit are the test results in well known format 
and the possibility to run/combine all the tests supported by avocado.

Actually I have avocado-in-avocado script in my CI testing, it just 
waits for the long-names fix to be applied as it generates too long test 
names. But I tested it with the fix and the results are very nice and 
easy to analyze as you simply go through results you know from simple 
testing.

>>>
>>> Triggering the jobs
>>> -------------------
>>>
>>> Previous example required the user to run the avocado 2 times (per each
>>> machine) and sharing the same sync server. Additionally it resulted into
>>> 2 separated results. Let's try to eliminate this problem.
>>>
>>>
>>> Basic tests
>>> ~~~~~~~~~~~
>>>
>>> For basic setups, we can come up with very simple format to describe
>>> which tests should be triggered and avocado should take care of
>>> executing it. The way I have in my mind is to simply accept list of
>>> "avocado run" commands:
>>>
>>> simple_multi_host.mht:
>>>
>>>       machine1.py
>>>       machine2.py --remote-hostname machine2 --mux-inject server_ip:machine1
>>>
>>> Running this test:
>>>
>>>       avocado run simple_multi_host.mht --sync-server 0.0.0.0
>>>
>>> avocado would pick a free port and start the sync server on it. Then it
>>> would prepend "avocado run" and append "--sync $sync-server
>>> --job-results-dir $this-job-results" to each line in
>>> "simple_multi_host.mht" and run them in parallel. Afterward it'd wait
>>> till both processes finish and report pass/fail depending on the status.
>>>
>>> This way users get overall results as well as individual ones and simple
>>> way to define static setups.
>>>
>>
>> First, the given usage example would require Avocado to introduce:
>>
>>   * A brand new file format
>>   * A new test type (say MULTI_HOST_TEST, in addition to the SIMPLE,
>>     INSTRUMENTED, etc).
>>
>> Introducing a brand new file format may look like a very simple thing
>> to do, but it's not.  I can predict that we'd learn very quickly that
>> our original file format definition is very limited.  Then we'd either
>> have to live with that, or introduce new file format versions, or just
>> break the initial definition or compatibility.  These are all problems
>> related to file formats, not really to your proposed file format.
>>
>> Then, analogous to the "remote tools (fabric)" example I gave before,
>> this looks to be outside of the problem scope of Avocado, in the sense
>> that "template" tools can do it better.
>>
>> Introducing a new test type, and a test resolver/loader, would be a
>> mandatory step to achieve this design, but it looks like a necessary
>> action only to make the use of "MHT" file format possible.
>>
>> Please note that having a design that allow users to fire multiple
>> Avocado command line instances executions in their own scripts is a bad
>> thing, but as a test framework, I believe we can deliver a better, more
>> focused experience.
>
> I meant "is *not* a bad thing".
>
I think you have a point here. My idea was to support new-line separated 
list of avocado executions as a simple wrapper to run processes in 
parallel as it's very simple to develop and it's not promising anything. 
It simply takes whatever you hand it over, spawns multiple processes and 
gives you results.

Then to add some value I added the --sync handling as it's one 
problematic thing. Basically it can be written in a generic way, but I 
see your point with hard-to-debug failures or unexpected behavior.

It was meant to be a very simple and easy to understand way to promote 
multi-host-testing but it can as well become very painful thing if 
people start relying on it. So maybe we should only introduce the real 
thing below.

>>
>>>
>>> Contrib scripts
>>> ~~~~~~~~~~~~~~~
>>>
>>> The beauty of executing simple lines is, that users might create contrib
>>> scripts to generate the "mht" files to get even better flexibility.
>>
>> Since I don't think a new file format and test type is a good thing, this
>> also becomes a bad idea IMHO.
>>
>>>
>>>
>>> Advanced tests
>>> ~~~~~~~~~~~~~~
>>>
>>> The above might still not be flexible enough. But the system underneath
>>> is very simple and flexible. So how about creating instrumented tests,
>>> which generate the setup? The same simple example as before:
>>>
>>> multi_host.py
>>>
>>>       runners = ["machine1.py"]
>>>       runners.append("machine2.py --remote-hostname machine2 --mux-inject
>>> server_ip:machine1")
>>>       self.execute(runners)
>>>
>>
>> A major plus here is that there's no attempt to define new file formats,
>> test types and other items that are necessary only to fulfill a use case
>> requirement.  Since Avocado's primary language of choice is Python, we
>> should stick to it, given that it's expressive enough and well maintained
>> enough.  This is of course a lesson we learned with Autotest itself, let's
>> not forget it.
>>
>> Then, a couple of things I dislike here:
>>
>>   1) First runner is special/magical (sync server would be run here)
>>   2) Interface with runner execution is done by command line parameters
>>
Well the 0-st runner is special (the one which executes the 
multi-host-instrumented-test). It needs to listen on any free port and 
pass this port to all executed tests (if they use barriers/sync).

I'll talk about the 2nd point later....


>>> where the "self.execute(tests)" would take the list and does the same as
>>> for basic tests. Optionally it could return the json results per each
>>> tests so the test itself can react and modify the results.
>>>
>>> The above was just a direct translation of the previous example, but to
>>> demonstrate the real power of this let's try a PingPong multi host test:
>>>
>>>       class PingPong(MultiHostTest):
>>>           def test(self):
>>>               hosts = self.params.get("hosts", default="").split(";")
>>>               assert len(hosts) >= 2
>>>               runners = ["ping_pong --remote-hostname %s" % _
>>>                               for _ in hosts]
>>>               # Start creating multiplex tree interactively
>>>               mux = MuxVariants("variants")
>>>               # add /run/variants/ping with {} values
>>>               mux.add("ping", {"url": hosts[1], "direction": "ping",
>>>                                "barrier": "ping1"})
>>>               # add /run/variants/pong with {} values
>>>               mux.add("pong", {"url": hosts[-1], "direction": "pong",
>>>                                "barrier": "ping%s" % len(hosts) + 1})
>>>               # Append "--mux-inject mux-tree..." to the first command
>>>               runners[0] += "--mux-inject %s" % mux.dump()
>>>               for i in xrange(1, len(hosts)):
>>>                   mux = MuxVariants("variants")
>>>                   next_host = hosts[i+1 % len(hosts)]
>>>                   prev_host = hosts[i-1]
>>>                   mux.add("pong", {"url": prev_host, "direction": "pong",
>>>                                    "barrier": "ping%s" % i})
>>>                   mux.add("ping", {"url": next_host, "direction": "ping",
>>>                                    "barrier": "ping%s" % i+1})
>>>                   runners[i] += "--mux-inject %s" % mux.dump()
>>>               # Now do the same magic as in basic multihost test on
>>>               # the dynamically created scenario
>>>               self.execute(runners)
>>>
>>> The `self.execute` generates the "simple test"-like list of "avocado
>>> run" commands to be executed. But the test writer can define some
>>> additional behavior. In this example it generates
>>> machine1->machine2->...->machine1 chain of ping-pong tests.
>>
>> You mean that this would basically generate a "shell script like" list
>> of avocado runs?  This looks to be a very strong design decision, and
>> I fail to see how it would lend itself to be flexible enough and deliver
>> the "test writer can define some additional behavior" requirement.
>>
Explanation below...

>>>
>>> When running "avocado run pingpong --mux-inject hosts:machine1;machine2"
>>> this generates 2 jobs, both running just a single "ping_pong" test with
>>> 2 multiplex variants:
>>>
>>> machine1:
>>>
>>>       variants: !mux
>>>           ping:
>>>               url: machine2
>>>               direction: pong
>>>               barrier: ping1
>>>           pong:
>>>               url: machine2
>>>               direction: pong
>>>               barrier: ping2
>>> machine2:
>>>
>>>       variants: !mux
>>>           pong:
>>>               url: machine1
>>>               direction: pong
>>>               barrier: ping1
>>>           ping:
>>>               url: machine1
>>>               direction: ping
>>>               barrier: ping2
>>>
>>> The first multiplex tree for three machines looks like this:
>>>
>>>       variants: !mux
>>>           ping:
>>>               url: machine2
>>>               direction: pong
>>>               barrier: ping1
>>>           pong:
>>>               url: machine3
>>>               direction: pong
>>>               barrier: ping
>>>
>>> Btw I simplified the format for the sake of this RFC. I think instead of
>>> generating the strings we should support API to specify test,
>>> multiplexer, options... and then turn them into the parallel executed
>>> jobs (usually remotely). But these are just details to be solved if we
>>> decide to work on it.
>>
>> This statement completely changes what you have proposed up to this point.
>>
>> IMHO it's far from being just details, because that would define the lowest
>> and commonest level of this feature set that we would advertise and support.
>> The design should really be from this level up, and not from the opposite
>> direction.
>>
>> If external users want to define file formats (say your own MHT proposal) on
>> top of our "framework for running tests that span multiple execution threads"
>> at once, they should be able to do so.
>>
>> If you ask me, having sound Avocado APIs that users could use to fire
>> multiple
>> portions of their *tests* at once and have their *results* coalesced into a
>> single
>> *test* result is about what Avocado should focus on.
And this was suppose to be the answer. In the end yes, I think it should 
generate the "avocado run" command with result-dir based inside this 
test's results. The reason is it gives you the results you know per each 
worker and they can run independently (survive the network issues, 
system reboots when we add the support for it in avocado)

The alternative is to create a client worker, which executes code on 
demand, but that's more complex and it'd double the effort if we decide 
to support system reboots/connection issues.

What this paragraph was about is that it should not probably directly 
generate the arguments, but we should define an API which adds 
individual pieces of information and is translated into the command at 
the end.

I decided not to go into details here as I thought it's better to focus 
on part1 (--sync --sync-server) which already has a proof of concept 
version out there. Then I wanted to create the "mht" file, which would 
demonstrate how the results could look like, and how it all goes 
together and when we have those results and issues, we can introduce the 
instrumented-test API which would evolve from the real-world issues.

>>
>>>
>>>
>>> Results and the UI
>>> ==================
>>>
>>> The idea is, that the user is free to run the jobs separately, or to
>>> define the setup in a "wrapper" job. The benefit of using the "wrapper"
>>> job are the results in one place and the `--sync` handling.
>>>
>>> The difference is that running them individually looks like this:
>>>
>>>       1 | avocado run ping_pong --mux-inject url:192.168.1.58:6001
>>> --sync-server
>>>       1 | JOB ID     : 6057f4ea2c99c43670fd7d362eaab6801fa06a77
>>>       1 | JOB LOG    :
>>> /home/medic/avocado/job-results/job-2016-01-22T05.33-6057f4e/job.log
>>>       1 | SYNC       : 0.0.0.0:6001
>>>       1 | TESTS      : 1
>>>       1 |  (1/1) ping_pong: \
>>>       2 | avocado run ping_pong --mux-inject :url::6001 direction:pong
>>> --sync 192.168.1.1:6001 --remote-host 192.168.1.1
>>>       2 | JOB ID     : 6057f4ea2c99c43670fd7d362eaab6801fa06a77
>>>       2 | JOB LOG    :
>>> /home/medic/avocado/job-results/job-2016-01-22T05.33-6057f4e/job.log
>>>       2 | TESTS      : 1
>>>       2 |  (1/1) ping_pong: PASS
>>>       1 |  (1/1) ping_pong: PASS
>>>
>>> and you have 2 results directories and 2 statuses. By running them
>>> wrapped inside simple.mht test you get:
>>>
>>>       avocado run simple.mht --sync-server 192.168.122.1
>>>       JOB ID     : 6057f4ea2c99c43670fd7d362eaab6801fa06a77
>>>       JOB LOG    :
>>> /home/medic/avocado/job-results/job-2016-01-22T05.33-6057f4e/job.log
>>>       TESTS      : 1
>>>        (1/1) simple.mht: PASS
>>>       RESULTS    : PASS 1 | ERROR 0 | FAIL 0 | SKIP 0 | WARN 0 | INTERRUPT 0
>>>       TIME       : 0.00 s
>>>
>>> And single results:
>>>
>>>       $ tree $RESULTDIR
>>>
>>>       └── test-results
>>>           └── simple.mht
>>>               ├── job.log
>>>                   ...
>>>               ├── 1
>>>               │   └── job.log
>>>                       ...
>>>               └── 2
>>>                   └── job.log
>>>                       ...
>>>
>>>       tail -f job.log:
>>>       running avocado run ping pong ping pong
>>>       running avocado run pong ping pong ping --remote-hostname
>>> 192.168.122.53
>>>       waiting for processes to finish...
>>>       PASS avocado run ping pong ping pong
>>>       FAIL avocado run pong ping pong ping --remote-hostname 192.168.122.53
>>>       this job FAILED
>>>
>>
>> I won't spend much time here, since the UI is bound to follow other design
>> ideas/decisions.
>>
Sure, the important part here is the results format.

>>>
>>> Demonstration
>>> =============
>>>
>>> While considering the design I developed a WIP example. You can find it
>>> here:
>>>
>>>       https://github.com/avocado-framework/avocado/pull/1019
>>>
>>> It demonstrates the `Triggered simple tests` chapter without the
>>> wrapping tests. Hopefully it helps you understand what I had in mind. It
>>> contains modified "examples/tests/passtest.py" which requires 2
>>> concurrent executions (for example if you want to test your server and
>>> run multiple concurrent "wget" connections). Feel free to play with it,
>>> change the number of connections, set different barriers, combine
>>> multiple different tests...
>>>
>>>
>>> Autotest
>>> ========
>>>
>>> Avocado was developed by people familiar with Autotest, so let's just
>>> mention here, that this method is not all that different from Autotest
>>> one. The way Autotest supports parallel execution is it let's users to
>>> create the "control" files inside the multi-host-control-file and then
>>> run those in parallel. For synchronization it contains master->slave
>>> barrier mechanism extended of SyncData to send pickled data to all
>>> registered runners.
>>>
>>> I considered if we should re-use the code, but:
>>>
>>> 1. we do not support control files, so I just inspired by passing the
>>> params to the remote instances
>>
>> One of the wonderful things about Autotest control files is that
>> it's not a custom file format.  This can not be underestimated.  While
>> other frameworks have had huge XML based file formats to drive their
>> jobs, Autotest control files are infinitely more capable and their
>> readability is a lot more scalable.
>>
>> The separation of client and server test types (and control files) is
>> actually what prevents control files from nearing perfection IMHO.
Yep

>>
>> The server API allows you to run client control files on given hosts.
>> These client control files usually need tweaking for each host.  Then
>> you're suddenly doing code generation (control files Python code). That
>> is not nice.
The tests I saw usually generated simple "runTest" with different 
params. So what I'm proposing is actually similar, let's run avocado and 
allow params passing.

>>
>> I believe that, if Avocado provides such an API that allows regular Python
>> code to operate similarly to server control files, while giving more control
>> and granularity to what is run on the individual job executions (say
>> on remote machines), and help to coalesce the individual portions into a
>> single test result, it would be a very attractive tool.
I think the multi-host test should only pick existing normal tests and 
run the set of tests they need to perform the task using barriers to 
synchronize it.

Actually there is one thing which is significantly limiting the usage 
and that's the multiplexer. I'd like to run:

"avocado run boot migrate recievemigrate migrate recievemigrate 
shutdown" tests and use different params for each tests. Currently this 
is not possible and it's something I'd been proposing all the time. 
(mapping params to individual tests).

Anyway even without this mapping we can do all kinds of setups and when 
we add such feature we can always start using it in multi-host-testing 
as multi-host-testing is just triggering avocado-jobs in terms of this 
RFC so all features available in avocado are available to each worker in 
multi-host-testing.

PS: The multiplexer is not needed for multi-host-tests, you're free to 
hard-code the values inside tests or to use whatever way to tell the 
test what it should do. The barriers are using the server from "--sync" 
cmdline argument so the test is the only component which might need to 
be parametric.

>>
>>> 2. the barriers and syncdata are quite hackish, master->slave
>>> communication. I think the described (and demonstrated) approach does
>>> the same in a less hackish way and is easy to extend
>>>
>>> Using this RFC we'd be able to run autotest-multi-host tests, but it'd
>>> require rewriting the control files to "mht" (or contrib) files. It'd be
>>> probably even possible to write a contrib script to run the control file
>>> and generate the "mht" file which would run the autotest test. Anyway
>>> the good think for us is, that this does not affect "avocado-vt",
>>> because all of the "avocado-vt" multi-host tests are using a single
>>> "control" file, which only prepares the params for simple avocado-vt
>>> executions. The only necessary thing is a custom "tests.cfg" as by
>>> default it disallows multi-host tests (or we can modify the "tests.cfg"
>>> and include the filter inside the "avocado-vt" loader, but these are
>>> just the details to be sorted when we start running avocado-vt
>>> multi-host tests.
>>>
>>> Conclusion
>>> ==========
>>>
>>> Multi-host testing was solved many times in the history. Some hardcode
>>> tests with communication, but most framework I had seen support
>>> triggering "normal/ordinary" tests and add some kind of barrier (either
>>> inside the code or between the tests) mechanism to synchronize the
>>> execution. I'm for the flexibility and easy test sharing and that is how
>>> I described it here.
>>>
>>> Kind regards,
>>> Lukáš
>>>
>>
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>>




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