dbt
Healthcare analytics
Operations Supply Facts
Operations Supply Facts model for healthcare analytics.
inferred
Blocks
operations_supply_facts.sql · 30 lines
inferred
-- models/operations_supply_facts.sql
{{ config(materialized='view') }}
SELECT
MedicalProcedures_MedicalSupplies_Map.MedicalProceduresID AS MedicalProcedures_ID
, CAST(SUM(MedicalProcedures_MedicalSupplies_Map.Count) AS UNSIGNED) AS Quantity_Used
, COUNT(MedicalProcedures_MedicalSupplies_Map.MedicalSuppliesID) AS Distinct_MedicalSupplies_IDs_Used
, COUNT(DISTINCT MedicalSuppliesCategory.MedicalSuppliesCategoryID) AS Distinct_MedicalSupplies_Types_Used
FROM MedicalProcedures_MedicalSupplies_Map
, MedicalSupplies
, MedicalSuppliesCategory
WHERE
MedicalProcedures_MedicalSupplies_Map.MedicalSuppliesID = MedicalSupplies.MedicalSuppliesID
AND MedicalSupplies.MedicalSuppliesCategoryID = MedicalSuppliesCategory.MedicalSuppliesCategoryID
GROUP BY
MedicalProcedures_MedicalSupplies_Map.MedicalProceduresID
# models/schema.yml
version: 2
models:
- name: operations_supply_facts
columns:
- name: operations_id
tests:
- unique
- not_null
- name: quantity_used
- name: distinct_supply_ids_used
- name: distinct_supply_types_used
Assumptions
- materialized='view' is the default; no persist hint found.
- schema.yml columns come from view dimensions; a primary_key dimension gets unique + not_null tests.
operations_supply_facts.sql · 13 lines
source-preserved
validation: parses
SELECT
MedicalProcedures_MedicalSupplies_Map.MedicalProceduresID AS MedicalProcedures_ID
, CAST(SUM(MedicalProcedures_MedicalSupplies_Map.Count) AS UNSIGNED) AS Quantity_Used
, COUNT(MedicalProcedures_MedicalSupplies_Map.MedicalSuppliesID) AS Distinct_MedicalSupplies_IDs_Used
, COUNT(DISTINCT MedicalSuppliesCategory.MedicalSuppliesCategoryID) AS Distinct_MedicalSupplies_Types_Used
FROM MedicalProcedures_MedicalSupplies_Map
, MedicalSupplies
, MedicalSuppliesCategory
WHERE
MedicalProcedures_MedicalSupplies_Map.MedicalSuppliesID = MedicalSupplies.MedicalSuppliesID
AND MedicalSupplies.MedicalSuppliesCategoryID = MedicalSuppliesCategory.MedicalSuppliesCategoryID
GROUP BY
MedicalProcedures_MedicalSupplies_Map.MedicalProceduresID
operations_supply_facts.view.lkml · 72 lines
inferred
view: operations_supply_facts {
derived_table: {
sql: SELECT
MedicalProcedures_MedicalSupplies_Map.MedicalProceduresID AS MedicalProcedures_ID
, CAST(SUM(MedicalProcedures_MedicalSupplies_Map.Count) AS UNSIGNED) AS Quantity_Used
, COUNT(MedicalProcedures_MedicalSupplies_Map.MedicalSuppliesID) AS Distinct_MedicalSupplies_IDs_Used
, COUNT(DISTINCT MedicalSuppliesCategory.MedicalSuppliesCategoryID) AS Distinct_MedicalSupplies_Types_Used
FROM MedicalProcedures_MedicalSupplies_Map
, MedicalSupplies
, MedicalSuppliesCategory
WHERE
MedicalProcedures_MedicalSupplies_Map.MedicalSuppliesID = MedicalSupplies.MedicalSuppliesID
AND MedicalSupplies.MedicalSuppliesCategoryID = MedicalSuppliesCategory.MedicalSuppliesCategoryID
GROUP BY
MedicalProcedures_MedicalSupplies_Map.MedicalProceduresID ;;
}
dimension: operations_id {
type: number
primary_key: yes
sql: ${TABLE}.MedicalProcedures_ID ;;
}
dimension: quantity_used {
type: number
sql: ${TABLE}.Quantity_Used ;;
}
dimension: distinct_supply_ids_used {
type: number
sql: ${TABLE}.Distinct_MedicalSupplies_IDs_Used ;;
}
dimension: distinct_supply_types_used {
type: number
sql: ${TABLE}.Distinct_MedicalSupplies_Types_Used ;;
}
measure: count {
type: count
}
measure: average_quantity_used {
type: average
sql: ${quantity_used} ;;
}
measure: average_supply_ids_used {
type: average
sql: ${distinct_supply_ids_used} ;;
}
measure: average_distinct_supply_types_used {
type: average
sql: ${distinct_supply_types_used} ;;
}
measure: total_quantity_used {
type: sum
sql: ${quantity_used} ;;
}
measure: total_supply_ids_used {
type: sum
sql: ${distinct_supply_ids_used} ;;
}
measure: total_distinct_supply_types_used {
type: sum
sql: ${distinct_supply_types_used} ;;
}
}
operations_supply_facts.view.lookml · 49 lines
source-preserved
- view: operations_supply_facts
derived_table:
sql: SELECT
MedicalProcedures_MedicalSupplies_Map.MedicalProceduresID AS MedicalProcedures_ID
, CAST(SUM(MedicalProcedures_MedicalSupplies_Map.Count) AS UNSIGNED) AS Quantity_Used
, COUNT(MedicalProcedures_MedicalSupplies_Map.MedicalSuppliesID) AS Distinct_MedicalSupplies_IDs_Used
, COUNT(DISTINCT MedicalSuppliesCategory.MedicalSuppliesCategoryID) AS Distinct_MedicalSupplies_Types_Used
FROM MedicalProcedures_MedicalSupplies_Map
, MedicalSupplies
, MedicalSuppliesCategory
WHERE
MedicalProcedures_MedicalSupplies_Map.MedicalSuppliesID = MedicalSupplies.MedicalSuppliesID
AND MedicalSupplies.MedicalSuppliesCategoryID = MedicalSuppliesCategory.MedicalSuppliesCategoryID
GROUP BY
MedicalProcedures_MedicalSupplies_Map.MedicalProceduresID
fields:
- dimension: operations_id
type: number
primary_key: true
sql: ${TABLE}.MedicalProcedures_ID
- dimension: quantity_used
type: number
sql: ${TABLE}.Quantity_Used
- dimension: distinct_supply_ids_used
type: number
sql: ${TABLE}.Distinct_MedicalSupplies_IDs_Used
- dimension: distinct_supply_types_used
type: number
sql: ${TABLE}.Distinct_MedicalSupplies_Types_Used
- measure: count
type: count
- measure: average_quantity_used
type: average
sql: ${quantity_used}
- measure: average_supply_ids_used
type: average
sql: ${distinct_supply_ids_used}
- measure: average_distinct_supply_types_used
type: average
sql: ${distinct_supply_types_used}
- measure: total_quantity_used
type: sum
sql: ${quantity_used}
- measure: total_supply_ids_used
type: sum
sql: ${distinct_supply_ids_used}
- measure: total_distinct_supply_types_used
type: sum
sql: ${distinct_supply_types_used}
Contents
- operations_supply_facts.sql
- operations_supply_facts.sql
- operations_supply_facts.view.lkml
- operations_supply_facts.view.lookml