I realize a Databricks cluster has a timeout, meaning after N minutes it will turn the cluster off. Here's a sample.
As nice as this feature is, though, it is not what we need. Our team works from 8AM to 6PM on weekdays. We want the cluster to would auto-start at 8AM, stay "always on" during working hours, THEN timeout after, say, 6PM. Make sense?
Q: Is this possible?
You can do everything inside the Databricks by scheduling some small job on the existing cluster. In this case, if cluster is stopped, then it will be started for execution of the job, and will stay until the auto-termination feature will kick-in (I would recommend to use 65-70 minutes as auto-termination setting to balance costs). You can create a notebook with something like
display(spark.range(1))
and schedule it for execution on selected cluster. To keep cluster running during the work hours, you need schedule the job to run periodically. This could be done with following cron expression (see Quartz docs for reference):
* 0 8-17 * * MON-FRI
P.S. Really, it should be maybe * 55 7-16 * * MON-FRI, to start 5 minutes before 8AM.
Yes, it possible to start the databricks cluster as per your team works from 8AM to 6PM on weekdays using Azure Automation.
To start at 8 AM you can use PowerShell runbook in Azure Automation to start your cluster as per the scheduled time as shown below:
PowerShell runbook should be as shown below:
$accessToken = "<Personal_Access_Token>"
$apiUrl = "<Azure_Databricks_Endpoint_URL>"
Set-DatabricksEnvironment -AccessToken $accessToken -ApiRootUrl $apiUrl
Start-DatabricksCluster -ClusterID "<Cluster_ID>"
To stop at 6 PM you can set the property Terminate after 600 minutes of inactivity.
Note: If your Business Hours (8AM to 6PM which means 10 Hours x 60 minutes) you can set the property Terminate after 600 minutes of inactivity as shown below:
This Tutorial: Start Azure Databricks clusters during business hours walks you through the creation of a PowerShell Workflow runbook to start Azure Databricks clusters during business hours in Azure Automation.
Unfortunately, It is not possible.
However, You can opt out of auto termination by clearing the Auto Termination checkbox or by specifying an inactivity period of 0.
Refer official document
Related
I have created an http cloud scheduler task. I'm expecting it to have a maximum run time of 5 minutes. However my task is reporting DEADLINE_EXCEEDED after exactly 1 minute.
When I run gcloud scheduler jobs describe MySyncTask to view my task it reports attemptDeadline: 300s. The service I am calling is cloud run and I have also set a 300s limit.
I am running the task manually by clicking "force a job run" in the GUI.
After 1 minute exactly in the logs it reports DEADLINE_EXCEEDED
When you execute a job from the GUI, it will be executed using the default attemptDeadline value, which is 60 seconds according to this question.
If you want to run it manually, I suggest to run the job from the Cloud Shell and pass the --attempt-deadline flag with the desired value, as shown on this answer:
gcloud beta scheduler jobs update http <job> --attempt-deadline=1800s --project <project>
I have a pipeline that has 10 Dataflow activities and each uses AutoResolveIntegrationRuntime default integration cluster.
When I trigger the pipeline, cluster startup takes around 4 mins for each Dataflow totalling 40 mins to complete pipeline execution. Can I avoid this? If so, how?
Thanks,
Karthik
You will want to either put those data flows on your pipeline canvas without dependency lines so that they all run in parallel, or set a TTL in your Azure IR and use that same Azure IR for each activity. This way, each subsequent activity can use a warm pool and start-up in 1-2 mins instead of 4 mins.
Here is an explanation of these different methods.
And here is how to configure TTL to set a warm pool for your factory.
I need to know , how to stop a azure databricks cluster by doing configuration when it is running infinitely for executing a job.(without manual stopping)and as well as create an email alert for it, as the job running time exceeds its usual running time.
You can do this in the Jobs UI, Select your job, under Advanced, edit the Alerts and Timeout values.
This Databricks docs page may help you: https://docs.databricks.com/jobs.html
I want to automatically start a job on an Azure Batch AI cluster once a week. The jobs are all identical except for the starting time. I thought of writing a PowerShell Azure Function that does this, but Azure Functions v2 doesn't support PowerShell and I don't want to use v1 in case it will be phased out. I would prefer not to do this in C# or Java. How can I do this?
Currently, there's no option available to trigger a job on Azure Batch AI cluster. Maybe you want to run a shell script which in turn can create a regular schedule using system's task scheduler. Please see if this doc by Said Bleik helps:
https://github.com/saidbleik/batchai_mm_ad#scheduling-jobs
I assume this way you can add multiple schedules for the job!
Azure Batch portal has "Job schedules" tab. You can go there, add a Job, and set a schedule for the Job. You can specify the recurrence in the Schedule
Scheduled jobs
Job schedules enable you to create recurring jobs within the Batch service. A job schedule specifies when to run jobs and includes the specifications for the jobs to be run. You can specify the duration of the schedule--how long and when the schedule is in effect--and how frequently jobs are created during the scheduled period.
I have enable always on property in configuration, still long running jobs are aborting.
I have running 10 long running jobs concurrently in one Web APP. For Web App plan is standard. As per standard plan we can schedule 50 jobs in one web app. still I am facing issue of abort. That it wont abort all the jobs it will abort 3 to 4 jobs which are taking more CPU throughput. It will be great if any body come with answer. Thanks in advance.