I am using Dataproc with 1 job on 1 cluster.
I would like to start my job as soon as the cluster is created. I found that the best way to achieve this is to submit a job using an initialization script like below.
function submit_job() {
echo "Submitting job..."
gcloud dataproc jobs submit pyspark ...
}
export -f submit_job
function check_running() {
echo "checking..."
gcloud dataproc clusters list --region='asia-northeast1' --filter='clusterName = {{ cluster_name }}' |
tail -n 1 |
while read name platform worker_count preemptive_worker_count status others
do
if [ "$status" = "RUNNING" ]; then
return 0
fi
done
}
export -f check_running
function after_initialization() {
local role
role=$(/usr/share/google/get_metadata_value attributes/dataproc-role)
if [[ "${role}" == 'Master' ]]; then
echo "monitoring the cluster..."
while true; do
if check_running; then
submit_job
break
fi
sleep 5
done
fi
}
export -f after_initialization
echo "start monitoring..."
bash -c after_initialization & disown -h
is it possible? When I ran this on Dataproc, a job is not submitted...
Thank you!
Consider to use Dataproc Workflow, it is designed for workflows of multi-steps, creating cluster, submitting job, deleting cluster. It is better than init actions, because it is a first class feature of Dataproc, there will be a Dataproc job resource, and you can view the history.