Job request: 20307
- Organisation:
- Bennett Institute
- Workspace:
- covid-diabetes-care
- ID:
- mrczjq2tzaqx222v
This page shows the technical details of what happened when the authorised researcher Alex Walker requested one or more actions to be run against real patient data within a secure environment.
By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.
The output security levels are:
-
highly_sensitive
- Researchers can never directly view these outputs
- Researchers can only request code is run against them
-
moderately_sensitive
- Can be viewed by an approved researcher by logging into a highly secure environment
- These are the only outputs that can be requested for public release via a controlled output review service.
Jobs
-
- Job identifier:
-
u7gfwqiyhdf6jboq
- Error:
- cancelled_by_user: Cancelled by user
-
- Job identifier:
-
dp62tyhhiyh2vqux
- Error:
- cancelled_by_user: Cancelled by user
-
- Job identifier:
-
kb6de3c5vhxzrxkf
- Error:
- cancelled_by_user: Cancelled by user
-
- Job identifier:
-
hpxwqashlgnuz3hd
- Error:
- cancelled_by_user: Cancelled by user
-
- Job identifier:
-
kby767ed2orxuaj3
- Error:
- cancelled_by_user: Cancelled by user
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_dataset_2019:
run: >
ehrql:v0
generate-dataset analysis/dataset_definition_2019.py
--output output/dataset_2019.arrow
outputs:
highly_sensitive:
cohort: output/dataset_2019.arrow
generate_dataset_2020:
run: >
ehrql:v0
generate-dataset analysis/dataset_definition_2020.py
--output output/dataset_2020.arrow
outputs:
highly_sensitive:
cohort: output/dataset_2020.arrow
generate_dataset_2021:
run: >
ehrql:v0
generate-dataset analysis/dataset_definition_2021.py
--output output/dataset_2021.arrow
outputs:
highly_sensitive:
cohort: output/dataset_2021.arrow
generate_dataset_2022:
run: >
ehrql:v0
generate-dataset analysis/dataset_definition_2022.py
--output output/dataset_2022.arrow
outputs:
highly_sensitive:
cohort: output/dataset_2022.arrow
generate_dataset_2023:
run: >
ehrql:v0
generate-dataset analysis/dataset_definition_2023.py
--output output/dataset_2023.arrow
outputs:
highly_sensitive:
cohort: output/dataset_2023.arrow
generate_report_notebook:
run: jupyter:latest jupyter nbconvert /workspace/analysis/notebooks/summarise_dataset.ipynb --execute --to html --output-dir=/workspace/output --no-input --ExecutePreprocessor.timeout=86400
needs: [generate_dataset_2019, generate_dataset_2020, generate_dataset_2021, generate_dataset_2022, generate_dataset_2023]
outputs:
moderately_sensitive:
notebook: output/summarise_dataset.html
prescribing_tables: output/prescribing*.csv
totals_tables: output/totals*.csv
Timeline
-
Created:
-
Runtime:
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Failed
- Backend
- TPP
- Workspace
- covid-diabetes-care
- Requested by
- Alex Walker
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 917b453
- Requested actions
-
-
generate_dataset_2019
-
generate_dataset_2020
-
generate_dataset_2021
-
generate_dataset_2022
-
generate_dataset_2023
-
Code comparison
Compare the code used in this job request