https://github.com/imperial-genomics-facility/superset_dashboard_query_backup

A repository for storing Apache Superset queries and chart instructions
https://github.com/imperial-genomics-facility/superset_dashboard_query_backup

Last synced: 6 months ago
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A repository for storing Apache Superset queries and chart instructions

• Host: GitHub
• URL: https://github.com/imperial-genomics-facility/superset_dashboard_query_backup
• Owner: imperial-genomics-facility
• License: apache-2.0
• Created: 2024-12-13T10:33:09.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-01-09T11:09:13.000Z (9 months ago)
• Last Synced: 2025-02-10T21:47:28.728Z (8 months ago)
• Size: 12.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Apache Superset dashboard SQL

A repository for storing Apache Superset queries and chart instructions

## Dashboard: IGF

### Project counts

  * SQL query: [igf_project_counts.sql](igf_project_counts.sql)

### Sequencing runs per month

  * SQL query: [igf_sequencing_runs_per_months.sql](igf_sequencing_runs_per_months.sql)

### Sequncing flowcell type per month

  * SQL query: [igf_sequencing_flowcell_types_per_month.sql](igf_sequencing_flowcell_types_per_month.sql)

### Avg PCT Occupied per run

  * SQL query: [igf_avg_pct_occupied_per_run.sql](igf_avg_pct_occupied_per_run.sql)

### Yield

  * SQL query: [igf_yield.sql](igf_yield.sql)

### Reads per month

  * SQL query: [igf_reads_per_month.sql](igf_reads_per_month.sql)

## De-multiplexing pipeline runs per week

  * SQL query: [igf_demultiplexing_pipeline_runs_per_week.sql](igf_demultiplexing_pipeline_runs_per_week.sql)

### Analyses runs per week

  * SQL query: [igf_analyses_runs_per_week.sql](igf_analyses_runs_per_week.sql)

### Analysis pipeline usage - 365 days

  * SQL query: [igf_analyses_pipeline_usage_365_days.sql](igf_analyses_pipeline_usage_365_days.sql)

### Analysis pipeline counts - 365 days

  * SQL query: [igf_analysis_pipeline_counts_365_days.sql](igf_analysis_pipeline_counts_365_days.sql)

### Nextflow Tower

#### NF Tower access

  * SQL query: [igf_nf_tower_accesss.sql](igf_nf_tower_accesss.sql)

#### NF Workflow Counts

  * SQL query: [igf_nf_workflow_counts.sql](igf_nf_workflow_counts.sql)

#### NF core pipeline usage

  * SQL query: [igf_nfcore_pipeline_usage.sql](igf_nfcore_pipeline_usage.sql)

#### NF Failed jobs

  * SQL query: [igf_nf_failed_jobs.sql](igf_nf_failed_jobs.sql)

### Apache Airflow

#### Airflow run status per week

  * SQL query: [igf_airflow_run_status_per_week.sql](igf_airflow_run_status_per_week.sql)

#### Airflow pipeline failures - last 4 months

  * SQL query: [igf_airflow_pipeline_failures_last_4_months.sql](igf_airflow_pipeline_failures_last_4_months.sql)

#### Airflow failed pipelines - 30 days

  * SQL query: [igf_airflow_failed_pipelines_30_days.sql](igf_airflow_failed_pipelines_30_days.sql)

## Dashboard: IGF_Pipeline

### Total sequencing runs generated is last 365 days

  * SQL query: [igf_pipeline_total_sequencing_runs_generated_is_last_365_days.sql](igf_pipeline_total_sequencing_runs_generated_is_last_365_days.sql)

### Test de-multiplexing pipeline triggered in 365 days

  * SQL query: [igf_pipeline_test_de-multiplexing_pipeline_triggered_in_365_days.sql](igf_pipeline_test_de-multiplexing_pipeline_triggered_in_365_days.sql)

### De-multiplexing pipeline trigger counts in 365 days

  * SQL query: [igf_pipeline_de-multiplexing_pipeline_trigger_counts_in_365_days.sql](igf_pipeline_de-multiplexing_pipeline_trigger_counts_in_365_days.sql)

### Top 5 most triggered sequencing runs

  * SQL query: [igf_pipeline_top_5_most_triggered_sequencing_runs.sql](igf_pipeline_top_5_most_triggered_sequencing_runs.sql)

### Total analysis and projects processed in 365 days

  * SQL query: [igf_pipeline_total_analysis_and_projects_processed_in_365_days.sql](igf_pipeline_total_analysis_and_projects_processed_in_365_days.sql)

### Trigger counts per analysis pipeline in 365 days

  * SQL query: [igf_pipeline_trigger_counts_per_analysis_pipeline_in_365_days.sql](igf_pipeline_trigger_counts_per_analysis_pipeline_in_365_days.sql)