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How many notebooks/jobs can I run in parallel on a Databricks cluster?

brickster_2018
Databricks Employee
Databricks Employee

Is there a limit on it and is the limit configurable?

1 ACCEPTED SOLUTION

Accepted Solutions

brickster_2018
Databricks Employee
Databricks Employee

There is a hard limit of 145 active execution contexts on a Cluster. This is to ensure the cluster is not overloaded with too many parallel threads starving for resources.

The limit is not configurable. If there are more than 145 parallel jobs to be executed, its strongly recommended to create a new cluster

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3 REPLIES 3

brickster_2018
Databricks Employee
Databricks Employee

There is a hard limit of 145 active execution contexts on a Cluster. This is to ensure the cluster is not overloaded with too many parallel threads starving for resources.

The limit is not configurable. If there are more than 145 parallel jobs to be executed, its strongly recommended to create a new cluster

I would like to know where I can find the number of active execution contexts on a cluster, Can you please suggest?

Is it depend on the cluster size? If yes, what is the appropriate cluster configuration we are talking here.

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