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The cluster will be terminated. But anyone with CAN_MANAGE can continue to start it, or clone it, and then delete it.
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The cluster will be terminated. But anyone with CAN_MANAGE can continue to start it, or clone it, and then delete it.
For an optimal processing experience Databricks segregates the Spark application traffic from the management traffic to avoid Network contention. Spark application traffic communications between the Driver-Executor and the Executors themselves where ...
What could be the root cause
I never ran VACUUM on the Delta table. Will Delta perform direct listing on those directories, I am afraid the query performance is going to get degraded over timeHow about the log directories. I have more than 100k JSON files in the log directory
For both Data and logs, Delta does not perform listing. The transaction logs have the details of the files and the objects are directly accessed. Similarly with in the Delta log directory listing is performed. However, it's performed using a continu...
30 mins. So, for example, via CloudTrail you might see a call every 30 minutes, but depending on how the notebooks are being accessed.
I would like to move my saved experiments and artifacts to a different Databricks workspace from where I originally created them. Is this possible?
It might be possible with a bit of code via mlflow client api ( there seems to be a way to run list_registered_models and extract info ) - but haven't tried it out. If the requirement is to share models between workspaces, one approach could be to h...
If it's disabled / lost, then it's broken. If customer cannot recover the key, then it's gone forever. Databricks has no knowledge of the key (us knowing it would render it insecure).
What is the use If I am able to upload and not able to read. I have only read access on the cluster
Depends on what you're looking for from a management perspective, but one option is the Account API which allows deploying/updating/configuring multiple workspaces in a given E2 accountUse this API to programmatically deploy, update, and delete works...
curl -H Metadata:true --noproxy "*" "http://169.254.169.254/metadata/instance?api-version=2020-09-01" | jq '.compute.tagsList[] | select(.name=="Creator") | .value'
Databricks must have access to at least two subnets for each workspace, with each subnet in a different availability zone per docs here
This is designed for optimal user experience and as a capacity planning strategy where if instances are not available in one AZ, the other subnet in a different AZ can be used to deploy instance from instead
Find the DriverDaemon%sh jpsTake the heap dump%sh jmap -dump:live,format=b,file=pbs_worker_DriverDaemon.hprof 2413Copy out to download%sh cp pbs_worker_DriverDaemon.hprof /dbfs/FileStore/pbs_worker_04-30-2021T15-50-00.hprof
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