Difference between revisions of "Samba CI on gitlab/Debugging CI failures"
(Split Debugging into a new page)
Revision as of 20:45, 12 February 2019
Using Docker to debug GitLab CI falilures
GitCab CI how it works provides a way to run applications securely isolated in a container, packaged with all its dependencies and libraries.
To install docker on Ubuntu, follow the instructions on this page:
Install docker and run:
docker run -ti registry.gitlab.com/samba-team/samba:latest /bin/bash
Then you need to clone the samba git repository with your changes and run the test.
You can find how to run it in the log of the failed pipeline.
A more complete example for cloning your samba git repositry would be to run, from your samba source dir:
docker run -ti --mount type=bind,source="$(pwd)",target=/src,ro registry.gitlab.com/samba-team/samba:latest /bin/bash
And then from within the docker session:
git clone /src cd src
... you know the drill
Finding the right autobuild command to run in docker
The .gitlab-ci.yml file lists the autobuild command string that is run, matching the split of jobs in the GitLab pipeline GUI, where the command is also printed (in green) at the top of the log. This makes it fairly easy to copy the command into the docker shell. For example:
script/autobuild.py samba-none-env --verbose --nocleanup --keeplogs --tail --testbase /tmp/samba-testbase
Many issues shown up in CI reproduce without difficulty by running the individual test.
- Most of these issues will reproduce locally on your normal development system
- Otherwise you may need to use the docker container described above (which has the reference set of packages)
Build Samba with
./configure --enable-developer make -j
And run the test with
make test TESTS=mytest
Points to note
The 'private' runners are 4 CPU virtual machines with 8GB of ram. These run in Rackspace's cloud and are paid for from a credit with RackSpace by the Samba Team.
The 'shared' runners are 1 CPU virtual machines with 4GB of RAM. The name is a misnomer, they are not shared VMs, but access to the newly booted VMs is shared to us (and paid for) by gitlab.com.
Some tests fail or flap on GitLab CI due to resource limitations. This can cause
- Docker failure code 137 (likely a kill -9 due to the out of memory killer running)
- Tests failure because they do not run fast enough (timeouts or failures due to timing)
- Race conditions (AD schema and DRS replication are particularly prone to this)
Tests should be re-worked to be more memory efficient, more robust to poor CPU scheduling and race-free, but in the meantime this is worth being aware of.
sn-devel is a nice short hostname, so is laptop etc. Specifically they are less than 14 characters, so do not need to be truncated.
Due to the way the GitLab CI instances are booted under docker, they get long hostnames like runner-191a8437-project-6378020-concurrent-0, which sometimes cause difficult to diagnose issues if not always overridden in the test.