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Bootstrap Timeout during cluster start

LearningDatabri
Contributor II

sometimes while starting a cluster I am facing bootstrap timeout error, what is the reason? when I try the next time it starts the cluster.

1 ACCEPTED SOLUTION

Accepted Solutions

Prabakar
Databricks Employee
Databricks Employee

We are aware of this issue and our engineering team made a fix for this issue. The fix will be deployed this week.

View solution in original post

7 REPLIES 7

Prabakar
Databricks Employee
Databricks Employee

In which region your workspace is deployed? Also which is the cloud provider? We recently applied a fix to resolve this bootstrap error.

LearningDatabri
Contributor II

AWS useast1

Prabakar
Databricks Employee
Databricks Employee

We are aware of this issue and our engineering team made a fix for this issue. The fix will be deployed this week.

Hi - We have seen this issue on old workspace ( AWS Oregon us-west-2) , couple of times - 1. 26th July and 2. Today 29th July

Cluster '0729-040008-6c2diu36' was terminated. Reason: BOOTSTRAP_TIMEOUT (SERVICE_FAULT). Parameters: databricks_error_message:[id: InstanceId(i-0f5f6b6bd5d37a52a), status: INSTANCE_INITIALIZING, workerEnvId:WorkerEnvId(workerenv-3325107197771046-7201c2b6-6e0c-4e92-9792-2eaf55bc5ffd), lastStatusChangeTime: 1722225709727, groupIdOpt Some(-7472147180756461083),requestIdOpt Some(0729-040008-6c2diu36-b8587b40-d987-4795-a),version 3] with threshold 700 seconds timed out after 700133 milliseconds. Please check network connectivity from the data plane to the control plane., instance_id:i-0f5f6b6bd5d37a52a.

Bert613
New Contributor II

Hello, we have started to see this issue in Canada Central, on Azure, mostly around 6:15am.

Manish_Pundir
New Contributor II

By adding this property on cluster level, it started working.

spark.sql.legacy.timeParserPolicy to LEGACY

M_waleed
New Contributor II

The bootstrap timeout error happens when the cluster setup process takes too long, usually due to network delays, resource allocation issues, or communication problems with the cloud provider. Itโ€™s likely a temporary glitch, which is why retrying works the next time. If it keeps happening, check your cluster configurations or contact support for troubleshooting.

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