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AWS Databricks Cluster terminated.Reason:Container launch failure

michaelh
New Contributor III

We're developing custom runtime for databricks cluster. We need to version and archive our clusters for client. We made it run successfully in our own environment but we're not able to make it work in client's environment. It's large corporation with many restrictions.

We’re able to start EC2 instance and pull image, but there must be some other blocker. I think ec2 instance is succefully running, but I have error in databricks

Cluster terminated.Reason:Container launch failure
 
An unexpected error was encountered while launching containers on worker instances for the cluster. Please retry and contact Databricks if the problem persists.
 
Instance ID: i-0fb50653895453fdf
 
Internal error message: Failed to launch spark container on instance i-0fb50653895453fdf. Exception: Container setup has timed out

It should be in some settings/permissions inside client's environment.

Here is end of ec2 log

-----END SSH HOST KEY KEYS----- [ 59.876874] cloud-init[1705]: Cloud-init v. 21.4-0ubuntu1~18.04.1 running 'modules:final' at Wed, 09 Mar 2022 15:05:30 +0000. Up 17.38 seconds. [ 59.877016] cloud-init[1705]: Cloud-init v. 21.4-0ubuntu1~18.04.1 finished at Wed, 09 Mar 2022 15:06:13 +0000. Datasource DataSourceEc2Local. Up 59.86 seconds [ 59.819059] audit: kauditd hold queue overflow [
 
66.068641] audit: kauditd hold queue overflow [ 66.070755] audit: kauditd hold queue overflow [ 66.072833] audit: kauditd hold queue overflow [ 74.733249] audit: kauditd hold queue overflow [
 
74.735227] audit: kauditd hold queue overflow [ 74.737109] audit: kauditd hold queue overflow [ 79.899966] audit: kauditd hold queue overflow [ 79.903557] audit: kauditd hold queue overflow [
 
79.907108] audit: kauditd hold queue overflow [ 89.324990] audit: kauditd hold queue overflow [ 89.329193] audit: kauditd hold queue overflow [ 89.333125] audit: kauditd hold queue overflow [ 106.617320] audit: kauditd hold queue overflow [ 106.620980] audit: kauditd hold queue overflow [ 107.464865] audit: kauditd hold queue overflow [ 127.175767] audit: kauditd hold queue overflow [ 127.179897] audit: kauditd hold queue overflow [ 127.215281] audit: kauditd hold queue overflow [ 132.190357] audit: kauditd hold queue overflow [ 132.193968] audit: kauditd hold queue overflow [ 132.197546] audit: kauditd hold queue overflow [ 156.211713] audit: kauditd hold queue overflow [ 156.215388] audit: kauditd hold queue overflow [ 228.558571] audit: kauditd hold queue overflow [ 228.562120] audit: kauditd hold queue overflow [ 228.565629] audit: kauditd hold queue overflow [ 316.405562] audit: kauditd hold queue overflow [ 316.409136] audit: kauditd hold queue overflow
 

1 ACCEPTED SOLUTION

Accepted Solutions

michaelh
New Contributor III

Thanks, I'll contact official databricks support to look at it more in depth 🙂

View solution in original post

4 REPLIES 4

Hubert-Dudek
Esteemed Contributor III

It is Linux kernel error (some event overwrite queue limit) so probably as you said it is related to some security settings like your image don't have access to some disks but there can be thousands other reasons as well.

michaelh
New Contributor III

Thanks, I'll contact official databricks support to look at it more in depth 🙂

Hi @michael henzl​ ,

Just a friendly follow-up. Did you were able to reach out to databricks support to get help on this issue? Let us know if you have any follow-up questions.

FerArribas
Contributor

@michael henzl​ , did you manage to solve the problem?

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