How to give a pipeline more memory, and what is the default?

[SH]

If we run it the pipeline (see below), we get:

       java.lang.OutOfMemoryError: Java heap space

If we increase heap, e.g. by setting SONAR_SCANNER_JAVA_OPTS to -Xmx4096m, we get:

      Container 'Build' exceeded memory limit.

1. How much memory is allocated to the pipeline?

2. How do we increase it?  Some posts suggest adding "size: 4x" or similar but what is this 4x of, and where should we put it?

image: maven:3-jdk-11

clone:
  depth: full              # SonarQube Cloud scanner needs the full history to assign issues properly

definitions:
  caches:
    sonar: ~/.sonar/cache  # Caching SonarQube Cloud artifacts will speed up your build
  steps:
    - step: &build-test-sonarcloud
        name: Build, test and analyze on SonarQube Cloud
        caches:
          - maven
          - sonar
        script:
          - mvn -B verify org.sonarsource.scanner.maven:sonar-maven-plugin:sonar
        artifacts:
          - target/**

pipelines:                 # More info here: https://confluence.atlassian.com/bitbucket/configure-bitbucket-pipelines-yml-792298910.html
  branches:
    develop:
      - step: *build-test-sonarcloud
  pull-requests:
    '**':
      - step: *build-test-sonarcloud

size: 8x

[John Emmanuel · Accepted solution]

Hi,

You can refer to this article for information about step sizes: https://support.atlassian.com/bitbucket-cloud/docs/step-options/#Size

Bitbucket assigns 4GB per step container (1x) steps. I would recommend trying 2x steps, which would give 8GB of memory to your step container, and then increase the sonarqube heap memory to 4 GB.

  steps:
    - step: &build-test-sonarcloud
        name: Build, test and analyze on SonarQube Cloud
        size: 2x

 I have used Sonar Scanner Docker images for the pipeline. To achieve this, I had to increase the step size to 2x and then increase the Docker memory limits from 1024 to 4096.

Note: 2x builds use 2x minutes off your monthly build minutes.

[SH]

Thanks, adding 2x worked.  The issue for us is that we did not know what it was 2x of.  Now we know its 4GB, so 2x is 8GB.