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FAQ

Reusing already running Cluster

See: reuse_cluster

using SCT_UPDATE_DB_PACKAGES to override AMI with newer binaries

SCT has the ability to run an upgrade to a given RPM, that will happen either after a regular installation or a deployment of an instance. The desired RPM must be placed somewhere in the builder, that will copy it to the DB node and run a rpm command to upgrade the installed package (be sure that your RPM has a version bigger than the one installed).::

# from your environment variables set like this:
# be sure to put a slash after the path !
export SCT_UPDATE_DB_PACKAGES=<path_to_my_rpm>/

# from your jenkinsfile file you could set like this (inside your pipeline settings):
update_db_packages: '<path_to_my_rpm>/'

# from your yaml file set like this:
update_db_packages: '<path_to_my_rpm>/'

use SCT_UPDATE_DB_PACKAGES in Jenkins straight from s3/gs

SCT now support passing s3:// or gs:// urls in update_db_packages, for example:

# uploading to s3
aws s3 cp s3://downloads.scylladb.com/
aws s3 cp --recursive rpms s3://scylla-qa-public/`whoami`/

# download from s3 path
export SCT_UPDATE_DB_PACKAGES=s3://scylla-qa-public/`whoami`/rpms

# uploading to google storage
gsutil cp rpms/* gs://scratch.scylladb.com/`whoami`/rpms/

# download for google storage
export SCT_UPDATE_DB_PACKAGES=gs://scratch.scylladb.com/`whoami`/rpms

# downloading a specific rpms built on master in job 888
export SCT_UPDATE_DB_PACKAGES=s3://downloads.scylladb.com/rpm/unstable/centos/master/888/scylla/7/x86_64/

How to use SCT_SCYLLA_MGMT_PKG

SCT has the ability to run a job (manager jobs) using your own scylla-manager package files. It will allow you to run one of the manager jobs using your self build package files, for example:

# uploading to s3
aws s3 cp --recursive rpms s3://scylla-qa-public/`whoami`/

# download from s3 path
export SCT_SCYLLA_MGMT_PKG=s3://scylla-qa-public/`whoami`/rpms

# uploading to google storage
gsutil cp rpms/* gs://scratch.scylladb.com/`whoami`/rpms/

# download for google storage
export SCT_SCYLLA_MGMT_PKG=gs://scratch.scylladb.com/`whoami`/rpms

# downloading specific rpms built on master in job 762
export SCT_SCYLLA_MGMT_PKG=s3://downloads.scylladb.com/manager/rpm/unstable/centos/master/762/scylla-manager/7/x86_64/

# using a local path, place your rpms into a local folder inside the builder
export SCT_SCYLLA_MGMT_PKG=<path_to_my_rpms>/

exposing nemesis metrics from local dev machine

since your computer isn't exposed to the internet, the monitor can't reach it

# ngrok can be used to help with it
# goto https://ngrok.com/download, then in a separate terminal window
./ngrok start --none

# back when you want to run your test
export SCT_NGROK_NAME=`whoami`

# run you test
hydra run-test ....

# while test running your metrics api would be exposed for example:
# http://fruch.ngrok.io

How can I connect to test machines in AWS ?

# option 1 - with hydra ssh wrapper command

# list all the machine this user create, and let you choose one to connect:
hydra ssh --user `whoami`

# connect with name of the machine
hydra ssh perf-test-db-node-3

# connect to specific test machines by test_id
hydra ssh --test-id 123456

# option 2 - open the ports publicly, and connect with key
hydra attach-test-sg --user `whoami`

? Select machine:  (Use arrow keys to move, <space> to select, <a> to toggle, <i> to invert)
 » ● sct-runner-1.6-instance-3dc7fd08 - 52.211.133.49 10.4.3.84 - eu-west-1
   ● sct-runner-1.6-instance-e60d9d6b - 3.252.145.58 10.4.1.201 - eu-west-1
   ● sct-runner-1.6-instance-6f4e6365 - 3.252.203.249 10.4.3.133 - eu-west-1
   ● None - 44.200.18.106 10.12.2.222 - us-east-1
   ● sct-runner-1.6-instance-d1df7c5f - 3.232.134.209 10.12.2.167 - us-east-1
   ● sct-runner-1.6-instance-e596851f - 44.192.58.53 10.12.3.16 - us-east-1
   ● sct-runner-1.6-instance-607c5973 - 3.236.43.235 10.12.2.11 - us-east-1
   ● sct-runner-1.6-instance-988e89c7 - 44.192.128.164 10.12.1.184 - us-east-1

# select which machine you want to expose publicly, and a SG would be attached to them
ssh -i ~/.ssh/scylla_test_id_ed25519 [email protected]
# keep in mind the user name and key, can be different between backend or between tests

How can I clear monitoring stack create by hydra investigate show-monitor

# this would clear all of the dockers used by monitoring stack that are currently running
docker rm -f -v $(docker ps --filter name=agraf\|aprom\|aalert -a -q)

How can I upload a relevant log file that was missed by SCT and report it to Argus?

The command upload provides such functionality:

hydra upload --test-id <uuid> path/to/file

In case you don't want to report to Argus / Argus is missing the test run for this id you can use --no-use-argus to skip that part.