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Job request: 16678

Organisation:
Bennett Institute
Workspace:
vax-fourth-dose-rd-baseline
ID:
loe2d2esq2flpmzv
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Andrea Schaffer 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

  • Action:
    data_process_outcomes
    Status:
    Status: Failed
    Job identifier:
    ekno5dupof5vun4y
    Error:
    nonzero_exit: Job exited with an error: Ran out of memory (limit for this job was 128.00GB)
  • Action:
    covid_outcomes
    Status:
    Status: Failed
    Job identifier:
    sqbp7mye4chdzro7
    Error:
    dependency_failed: Not starting as dependency failed

Pipeline

Show project.yaml 
######################################

# This script defines the project pipeline - it specifies the execution orders for all the code in this
# repo using a series of actions.

######################################


version: '3.0'

expectations:
  population_size: 10000

actions:

# Generate study population and extract baseline characteristics at Sep 3, 2022
  generate_study_pop_baseline:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_baseline
      --output-dir=feather 
      --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/input_baseline.feather
      
# Data cleaning, defining exclusions, saving final study pop
  data_process_baseline:
    run: r:latest analysis/processing/data_processing_baseline.R
    needs: [generate_study_pop_baseline]
    outputs:
      highly_sensitive:
        cohort: output/cohort/cohort_*.csv
      moderately_sensitive:
        descriptive: output/descriptive/total_*.csv

 # Extract outcomes based on final study pop
  study_definition_outcomes:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_outcomes
      --index-date-range "2022-09-03 to 2023-01-31 by week" 
      --output-dir=feather 
      --output-format=feather
    needs: [data_process_baseline]
    outputs:
      highly_sensitive:
        cohort: output/index/input_outcomes_*.feather

# Data cleaning of outcome data
  data_process_outcomes:
    run: r:latest analysis/processing/data_processing_outcomes.R
    needs: [study_definition_outcomes]
    outputs:
      highly_sensitive:
        primary_outcomes: output/cohort/primary_outcomes.csv
        secondary_outcomes: output/cohort/secondary_outcomes.csv
        check: output/descriptive/check_max_num.csv

# Plots of COVID booster uptake by age
  booster_uptake:
   run: r:latest analysis/descriptive/cumulative_vax_byage.R
   needs: [data_process_baseline]
   outputs:
      moderately_sensitive:
        rates_csv: output/cumulative_rates/final_*.csv 
        plot: output/cumulative_rates/plot_*.png

# Outcome plots #
  covid_outcomes:
   run: r:latest analysis/descriptive/covid_outcomes_byage.R
   needs: [data_process_outcomes]
   outputs:
      moderately_sensitive:
        measure_csv: output/covid_outcomes/primary_*.csv
        plot: output/covid_outcomes/plot_outcomes_*.png

# Discontinuity of demographics
  # demographics:
  #  run: r:latest analysis/descriptive/demographics_byage.R
  #  needs: [generate_study_pop_baseline, data_process_baseline]
  #  outputs:
  #     moderately_sensitive:
  #       measures_csv: output/descriptive/demographics_*.csv


# Flu vaccine uptake #
  # flu_vax:
  #  run: r:latest analysis/descriptive/flu_vax_byage.R
  #  needs: [generate_study_pop]
  #  outputs:
  #     moderately_sensitive:
  #       measure_csv: output/cumulative_rates/flu_*.csv
  #       plot: output/cumulative_rates/plot_flu_vax_byage.png


# Outcome plots #
  # covid_outcomes:
  #  run: r:latest analysis/descriptive/covid_outcomes_byage.R
  #  needs: [generate_study_pop]
  #  outputs:
  #     moderately_sensitive:
  #       measure_csv: output/covid_outcomes/covid_*.csv
  #       plot: output/covid_outcomes/plot_outcomes_*.png
  

# ITT analysis #


# IV analysis #

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 03:06:48

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

Job request

Status
Failed
Backend
TPP
Workspace
vax-fourth-dose-rd-baseline
Requested by
Andrea Schaffer
Branch
Protocol-updates
Force run dependencies
No
Git commit hash
ffb71b4
Requested actions
  • data_process_outcomes
  • covid_outcomes

Code comparison

Compare the code used in this job request