I am seeing bitbucket pipeline error - container 'docker' exceeded memory limit while running bitbucket pipeline. I tried to use all possible service memory limits as per below documentation, but issue was not resolved.
Databases and service containers - Service memory limits
Can you help resolve the issue?
If you'd like to alter the memory usage of your containers, you have two options: Configure (and reduce) the memory your service containers are using: https://confluence.atlassian.com/bitbucket/use-services-and-databases-in-bitbucket-pipelines-874786688.html. Double the total memory of your build, from 4GB to 8GB total ...
The --memory parameter limits the container memory usage, and Docker will kill the container if the container tries to use more than the limited memory.
The maximum amount of memory the container can use. If you set this option, the minimum allowed value is 6m (6 megabytes). That is, you must set the value to at least 6 megabytes.
By default, Docker does not apply memory limitations to individual containers. Containers can consume all available memory of the host.
It is due to your build take more memory than allocated In order to resolve this you need add this in your bitbucket-pipelines.yml
image: .....
options: <= Add this
docker: true <= Add this
size: 2x <= Add this
pipelines:
branches:
branches:
master:
- step:
caches:
- ....
services: <= Add this
- docker <= Add this
definitions: <= Add this
services: <= Add this
docker: <= Add this
memory: 4096 <= Add this
I contacted bitbucket, and they provided a solution:
options:
docker: true
size: 2x
name: XXXX
image: google/cloud-sdk:latest
services:
- docker
size: 2x
definitions:
services:
docker:
memory: 4096
As said previously you can use size: 2x
on a step to increase the memory limit for that step or set it in options which will enable 2x size for all steps automatically.
However, it is worth noting that doing so will consume twice the number of build minutes compared to a regular step, effectively costing twice as much, as described here
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