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Job request: 18121

Organisation:
Bennett Institute
Workspace:
airmid-short-data-report
ID:
2tqkhp6nwljsofng
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Iain Dillingham 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

  • Action:
    numeric_value
    Status:
    Status: Succeeded
    Job identifier:
    hq3cdm5qnmcknijw

Pipeline

Show project.yaml 
version: "3.0"

expectations:
  population_size: 1000

actions:
  non_tpp_participants:
    run: sqlrunner:latest
      --output output/non_tpp_participants/rows.csv
      --dummy-data-file analysis/non_tpp_participants/dummy_rows.csv
      analysis/non_tpp_participants/query.sql
    outputs:
      moderately_sensitive:
        rows: output/non_tpp_participants/rows.csv

  code_system_id:
    run: sqlrunner:latest
      --output output/code_system_id/rows.csv
      --dummy-data-file analysis/code_system_id/dummy_rows.csv
      analysis/code_system_id/query.sql
    outputs:
      moderately_sensitive:
        rows: output/code_system_id/rows.csv

  coded_event_id:
    run: sqlrunner:latest
      --output output/coded_event_id/rows.csv
      --dummy-data-file analysis/coded_event_id/dummy_rows.csv
      analysis/coded_event_id/query.sql
    outputs:
      moderately_sensitive:
        rows: output/coded_event_id/rows.csv

  consultation_date:
    run: sqlrunner:latest
      --output output/consultation_date/rows.csv
      --dummy-data-file analysis/consultation_date/dummy_rows.csv
      analysis/consultation_date/query.sql
    outputs:
      moderately_sensitive:
        rows: output/consultation_date/rows.csv

  patients_by_surveys:
    run: sqlrunner:latest
      --output output/patients_by_surveys/rows.csv
      --dummy-data-file analysis/patients_by_surveys/dummy_rows.csv
      analysis/patients_by_surveys/query.sql
    outputs:
      moderately_sensitive:
        rows: output/patients_by_surveys/rows.csv

  row_response:
    run: sqlrunner:latest
      --output output/row_response/rows.csv
      --dummy-data-file analysis/row_response/dummy_rows.csv
      analysis/row_response/query.sql
    outputs:
      moderately_sensitive:
        rows: output/row_response/rows.csv

  is_consultation_id_fk:
    run: sqlrunner:latest
      --output output/is_consultation_id_fk/rows.csv
      --dummy-data-file analysis/is_consultation_id_fk/dummy_rows.csv
      analysis/is_consultation_id_fk/query.sql
    outputs:
      moderately_sensitive:
        rows: output/is_consultation_id_fk/rows.csv

  model_data_structure_from_query:
    run: sqlrunner:latest
      --output output/model_data_structure/rows.csv
      --dummy-data-file analysis/model_data_structure/dummy_rows.csv
      analysis/model_data_structure/query.sql
    outputs:
      highly_sensitive:
        rows: output/model_data_structure/rows.csv

  model_data_structure_from_dataset_definition:
    run: ehrql:v0
      generate-dataset
      --output output/model_data_structure/dataset.csv
      analysis/model_data_structure/dataset_definition.py
      --
      --day=0
    outputs:
      highly_sensitive:
        rows: output/model_data_structure/dataset.csv

  num_consultations_by_offset:
    run: sqlrunner:latest
      --output output/num_consultations_by_offset/rows.csv
      --dummy-data-file analysis/num_consultations_by_offset/dummy_rows.csv
      analysis/num_consultations_by_offset/query.sql
    outputs:
      moderately_sensitive:
        rows: output/num_consultations_by_offset/rows.csv

  numeric_value:
    run: sqlrunner:latest
      --output output/numeric_value/rows.csv
      --dummy-data-file analysis/numeric_value/dummy_rows.csv
      analysis/numeric_value/query.sql
    outputs:
      moderately_sensitive:
        rows: output/numeric_value/rows.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:09

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

Job information

Status
Succeeded
Backend
TPP
Workspace
airmid-short-data-report
Requested by
Iain Dillingham
Branch
main
Force run dependencies
No
Git commit hash
2d380e1
Requested actions
  • numeric_value

Code comparison

Compare the code used in this Job Request