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Job request: 24506

Organisation:
Bennett Institute
Workspace:
ehrql-test-study
ID:
gposhfp57nrh6fo4

This page shows the technical details of what happened when the authorised researcher Becky Smith requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, via a controlled output review service.

Jobs

Pipeline

Show project.yaml
version: '4.0'


actions:

  generate_dataset_2015:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2015.arrow -- --year=2015
    outputs:
      highly_sensitive:
        dataset: output/dataset_2015.arrow

  generate_dataset_2016:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2016.arrow -- --year=2016
    outputs:
      highly_sensitive:
        dataset: output/dataset_2016.arrow

  generate_dataset_2017:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2017.arrow -- --year=2017
    outputs:
      highly_sensitive:
        dataset: output/dataset_2017.arrow

  generate_dataset_2018:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2018.arrow -- --year=2018
    outputs:
      highly_sensitive:
        dataset: output/dataset_2018.arrow

  generate_dataset_2019:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2019.arrow -- --year=2019
    outputs:
      highly_sensitive:
        dataset: output/dataset_2019.arrow

  generate_dataset_2020:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2020.arrow -- --year=2020
    outputs:
      highly_sensitive:
        dataset: output/dataset_2020.arrow

  generate_dataset_2021:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2021.arrow -- --year=2021
    outputs:
      highly_sensitive:
        dataset: output/dataset_2021.arrow

  generate_dataset_2022:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2022.arrow -- --year=2022
    outputs:
      highly_sensitive:
        dataset: output/dataset_2022.arrow

  generate_dataset_2023:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2023.arrow -- --year=2023
    outputs:
      highly_sensitive:
        dataset: output/dataset_2023.arrow

  generate_dataset_2024:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py --output output/dataset_2024.arrow -- --year=2024
    outputs:
      highly_sensitive:
        dataset: output/dataset_2024.arrow

  count_by_year:
    run: python:v1 analysis/count_by_year.py
    needs:
      - generate_dataset_2015
      - generate_dataset_2016
      - generate_dataset_2017
      - generate_dataset_2018
      - generate_dataset_2019
      - generate_dataset_2020
      - generate_dataset_2021
      - generate_dataset_2022
      - generate_dataset_2023
      - generate_dataset_2024
    outputs:
      moderately_sensitive:
        counts: output/count_by_year.csv

  generate_measures:
    run: ehrql:v1 generate-measures analysis/measures_definition.py --output output/measures.csv
    outputs:
      moderately_sensitive:
        dataset: output/measures.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:13:54

These timestamps are generated and stored using the UTC timezone on the TEST backend.

Job information

Status
Succeeded
Backend
TEST
Workspace
ehrql-test-study
Requested by
Becky Smith
Branch
main
Force run dependencies
Yes
Git commit hash
7ba5891
Requested actions
  • run_all

Code comparison

Compare the code used in this Job Request