nba-tasks.md

NBA tasks

Update API version

kubectl set image deployment/nba-api nba-api=<new image name> (for ex naturalis/nba-api:V2.11.3-e39fae)

Change (log) setting API

kubectl edit configmap <what you want to change>
kubectl delete deployment nba-api
kubectl create -f api/nba-deployment.yaml

Update dwca config API

kubectl delete -f api/dwca-clone-job.yaml
kubectl create -f api/dwca-clone-job.yaml

Updating source datasets

There are many sources of data in the NBA. Here is a github list with some extra info Allmost all source data repositories have two scrips, and a 3 support files compress.sh, uncompress.sh, filelist, .gitignore, README.md. Compressing works only on linux.

Brahms

The dump is a manual (and long process). Done by IM.

CRS

CRS is moved to drive, for speed improvements. A better how to for this is needed.

COL

Only dumps of the static sets. Done by SD. When importing check in nba.properites if the settings col-year matches the dump.

NSR

Full dump,compress and push of NSR, is fully automatich including tags

Geo

Dataset is created and pushed by SD

Medialib

This is a supporting dataset, run in on the medialib-dataserver.

docker run --rm -it --env-file env.file -v $(pwd)/out:/payload  atzedevries/docker-nba-ml-mimetype

And commit it to this repository. Done by Infra

Bijzondere Collectie

This is a supporting dataset, should be there before a import. Data is injected in etl docker image. Data is managed by IM.