can you tell me how much memory is being used by the npm run build step in this pipeline?

Question

My pipeline has been failing due to memory limit issues for the build step. but after this setting is it working fine. I think the memory being used for docker is 2048 MB and for the Node js container is 6144 I just want to confirm this.image: node:16.14.0options: docker: true size : 2x
pipelines:branches:master:- step:name : "building the code"services:- dockercaches:- node- dockerscript :- npm i - CI=false npm run build:production && tar czf build.tar.gz build- pipe: atlassian/scp-deploy:1.2.1variables:USER: SERVER: LOCAL_PATH: REMOTE_PATH: SSH_KEY: DEBUG: 'true'definitions:services:docker:memory: 1024

Ben · Answer

Hi Vishal,

The command provided is used to debug the memory that the build step is using so you can determine how much resources are needed.

You are correct in stating that by default the memory is 2048MB maximum, using the 2x flag as you have set increases this to 4096MB, I should have clarified this in my answer - my apologies.

Cheers!

- Ben (Bitbucket Cloud Support)

Vishal Singh_xodwtz · Answer

Hi Ben, sorry I think I have put my question in the wrong way. I just wanted to ask when the npm run command executes for the "building the code" step how much maximum memory can be allocated to it?

Ben · Answer

Hey Vishal,

To calculate the memory being used on a per-step basis, you can add the following to the beginning of the step:

- while true; do echo "Memory usage in megabytes:" && echo $((`cat /sys/fs/cgroup/memory/memory.memsw.usage_in_bytes | awk '{print $1}'`/1048576)) && sleep 0.1; done &

Once this has been added, you can check the build log and determine the amount of memory used - please see our article below for further troubleshooting steps related to pipelines (including the above specified):
https://confluence.atlassian.com/bbkb/troubleshooting-bitbucket-pipelines-1141505226.html

Cheers!

- Ben (Bitbucket Cloud Support)