Refactor Athena table definitions to move them into the dbt DAG

.github/actions/setup_dbt/action.yaml

@@ -4,6 +4,10 @@ inputs:
   role-to-assume:
     description: AWS IAM role to assume when running dbt operations.
     required: true
+  role-duration-seconds:
+    description: Expiration time for AWS OIDC token. Default is one hour.
+    required: false
+    default: 3600
 runs:
   using: composite
   steps:
@@ -18,6 +22,7 @@ runs:
       with:
         role-to-assume: ${{ inputs.role-to-assume }}
         aws-region: us-east-1
+        role-duration-seconds: ${{ inputs.role-duration-seconds }}
 
     - name: Configure dbt environment
       uses: ./.github/actions/configure_dbt_environment

.github/workflows/build_and_test_dbt.yaml

@@ -22,6 +22,7 @@ jobs:
         uses: ./.github/actions/setup_dbt
         with:
           role-to-assume: ${{ secrets.AWS_IAM_ROLE_TO_ASSUME_ARN }}
+          role-duration-seconds: 14400  # Worst-case time for full build
 
       - name: Restore dbt state cache
         id: cache

aws-athena/ctas/location-access.sql

@@ -1,27 +1,28 @@
-CREATE TABLE IF NOT EXISTS location.access
-WITH (
-    FORMAT = 'Parquet',
-    WRITE_COMPRESSION = 'SNAPPY',
-    EXTERNAL_LOCATION = 's3://ccao-athena-ctas-us-east-1/location/access',
-    PARTITIONED_BY = ARRAY['year'],
-    BUCKETED_BY = ARRAY['pin10'],
-    BUCKET_COUNT = 1
-) AS (
+{{
+    config(
+        materialized='table',
+        partitioned_by=['year'],
+        bucketed_by=['pin10'],
+        bucket_count=1
+    )
+}}
+
+WITH access AS (
     WITH distinct_pins AS (
         SELECT DISTINCT
             x_3435,
             y_3435
-        FROM spatial.parcel
+        FROM {{ source('spatial', 'parcel') }}
     ),
 
     distinct_years AS (
         SELECT DISTINCT year
-        FROM spatial.parcel
+        FROM {{ source('spatial', 'parcel') }}
     ),
 
     distinct_years_rhs AS (
         SELECT DISTINCT year
-        FROM spatial.walkability
+        FROM {{ source('spatial', 'walkability') }}
     ),
 
     walkability AS (
@@ -43,12 +44,12 @@ WITH (
                 SELECT
                     dy.year AS pin_year,
                     MAX(df.year) AS fill_year
-                FROM spatial.walkability AS df
+                FROM {{ source('spatial', 'walkability') }} AS df
                 CROSS JOIN distinct_years AS dy
                 WHERE dy.year >= df.year
                 GROUP BY dy.year
             ) AS fill_years
-            LEFT JOIN spatial.walkability AS fill_data
+            LEFT JOIN {{ source('spatial', 'walkability') }} AS fill_data
                 ON fill_years.fill_year = fill_data.year
         ) AS cprod
             ON ST_WITHIN(
@@ -65,10 +66,12 @@ WITH (
         walk.access_cmap_walk_total_score,
         walk.access_cmap_walk_data_year,
         pcl.year
-    FROM spatial.parcel AS pcl
+    FROM {{ source('spatial', 'parcel') }} AS pcl
     LEFT JOIN walkability AS walk
         ON pcl.x_3435 = walk.x_3435
         AND pcl.y_3435 = walk.y_3435
         AND pcl.year = walk.pin_year
     WHERE pcl.year >= (SELECT MIN(year) FROM distinct_years_rhs)
 )
+
+SELECT * FROM access

aws-athena/ctas/location-census.sql

@@ -1,22 +1,23 @@
-CREATE TABLE IF NOT EXISTS location.census
-WITH (
-    FORMAT = 'Parquet',
-    WRITE_COMPRESSION = 'SNAPPY',
-    EXTERNAL_LOCATION = 's3://ccao-athena-ctas-us-east-1/location/census',
-    PARTITIONED_BY = ARRAY['year'],
-    BUCKETED_BY = ARRAY['pin10'],
-    BUCKET_COUNT = 1
-) AS (
+{{
+    config(
+        materialized='table',
+        partitioned_by=['year'],
+        bucketed_by=['pin10'],
+        bucket_count=1
+    )
+}}
+
+WITH census AS (
     WITH distinct_pins AS (
         SELECT DISTINCT
             x_3435,
             y_3435
-        FROM spatial.parcel
+        FROM {{ source('spatial', 'parcel') }}
     ),
 
     distinct_years_rhs AS (
         SELECT DISTINCT year
-        FROM spatial.census
+        FROM {{ source('spatial', 'census') }}
     ),
 
     distinct_joined AS (
@@ -64,7 +65,7 @@ WITH (
             END) AS census_zcta_geoid,
             cen.year
         FROM distinct_pins AS dp
-        LEFT JOIN spatial.census AS cen
+        LEFT JOIN {{ source('spatial', 'census') }} AS cen
             ON ST_WITHIN(
                 ST_POINT(dp.x_3435, dp.y_3435),
                 ST_GEOMFROMBINARY(cen.geometry_3435)
@@ -89,10 +90,12 @@ WITH (
         dj.census_zcta_geoid,
         dj.year AS census_data_year,
         pcl.year
-    FROM spatial.parcel AS pcl
+    FROM {{ source('spatial', 'parcel') }} AS pcl
     LEFT JOIN distinct_joined AS dj
         ON pcl.year = dj.year
         AND pcl.x_3435 = dj.x_3435
         AND pcl.y_3435 = dj.y_3435
     WHERE pcl.year >= (SELECT MIN(year) FROM distinct_years_rhs)
 )
+
+SELECT * FROM census

aws-athena/ctas/location-census_acs5.sql

@@ -2,42 +2,43 @@
 -- current PINs. For example, 2020 ACS data is not yet release, but we do have
 -- current (2021) geographies and PINs. We need to join 2019 geographies to
 -- 2021 PINs to facilitate joining 2019 ACS5 data
-CREATE TABLE IF NOT EXISTS location.census_acs5
-WITH (
-    FORMAT = 'Parquet',
-    WRITE_COMPRESSION = 'SNAPPY',
-    EXTERNAL_LOCATION = 's3://ccao-athena-ctas-us-east-1/location/census_acs5',
-    PARTITIONED_BY = ARRAY['year'],
-    BUCKETED_BY = ARRAY['pin10'],
-    BUCKET_COUNT = 1
-) AS (
+{{
+    config(
+        materialized='table',
+        partitioned_by=['year'],
+        bucketed_by=['pin10'],
+        bucket_count=1
+    )
+}}
+
+WITH census_acs5 AS (
     WITH distinct_pins AS (
         SELECT DISTINCT
             x_3435,
             y_3435
-        FROM spatial.parcel
+        FROM {{ source('spatial', 'parcel') }}
     ),
 
     distinct_years AS (
         SELECT DISTINCT year
-        FROM spatial.parcel
+        FROM {{ source('spatial', 'parcel') }}
     ),
 
     distinct_years_rhs AS (
         SELECT DISTINCT year
-        FROM spatial.census
+        FROM {{ source('spatial', 'census') }}
     ),
 
     acs5_max_year AS (
         SELECT MAX(year) AS max_year
-        FROM census.acs5
+        FROM {{ source('census', 'acs5') }}
     ),
 
     acs5_year_fill AS (
         SELECT
             dy.year AS pin_year,
             MAX(df.year) AS fill_year
-        FROM census.acs5 AS df
+        FROM {{ source('census', 'acs5') }} AS df
         CROSS JOIN distinct_years AS dy
         WHERE dy.year >= df.year
         GROUP BY dy.year
@@ -81,7 +82,7 @@ WITH (
         FROM distinct_pins AS dp
         LEFT JOIN (
             SELECT *
-            FROM spatial.census
+            FROM {{ source('spatial', 'census') }}
             WHERE year <= (SELECT max_year FROM acs5_max_year)
         ) AS cen
             ON ST_WITHIN(
@@ -93,19 +94,19 @@ WITH (
 
     SELECT
         pcl.pin10,
-        ayf.census_acs5_congressional_district_geoid,
-        ayf.census_acs5_county_subdivision_geoid,
-        ayf.census_acs5_place_geoid,
-        ayf.census_acs5_puma_geoid,
-        ayf.census_acs5_school_district_elementary_geoid,
-        ayf.census_acs5_school_district_secondary_geoid,
-        ayf.census_acs5_school_district_unified_geoid,
-        ayf.census_acs5_state_representative_geoid,
-        ayf.census_acs5_state_senate_geoid,
-        ayf.census_acs5_tract_geoid,
+        dj.census_acs5_congressional_district_geoid,
+        dj.census_acs5_county_subdivision_geoid,
+        dj.census_acs5_place_geoid,
+        dj.census_acs5_puma_geoid,
+        dj.census_acs5_school_district_elementary_geoid,
+        dj.census_acs5_school_district_secondary_geoid,
+        dj.census_acs5_school_district_unified_geoid,
+        dj.census_acs5_state_representative_geoid,
+        dj.census_acs5_state_senate_geoid,
+        dj.census_acs5_tract_geoid,
         dj.year AS census_acs5_data_year,
         pcl.year
-    FROM spatial.parcel AS pcl
+    FROM {{ source('spatial', 'parcel') }} AS pcl
     LEFT JOIN acs5_year_fill AS ayf
         ON pcl.year = ayf.pin_year
     LEFT JOIN distinct_joined AS dj
@@ -114,3 +115,5 @@ WITH (
         AND pcl.y_3435 = dj.y_3435
     WHERE pcl.year >= (SELECT MIN(year) FROM distinct_years_rhs)
 )
+
+SELECT * FROM census_acs5

aws-athena/ctas/location-chicago.sql

@@ -1,30 +1,31 @@
-CREATE TABLE IF NOT EXISTS location.chicago
-WITH (
-    FORMAT = 'Parquet',
-    WRITE_COMPRESSION = 'SNAPPY',
-    EXTERNAL_LOCATION = 's3://ccao-athena-ctas-us-east-1/location/chicago',
-    PARTITIONED_BY = ARRAY['year'],
-    BUCKETED_BY = ARRAY['pin10'],
-    BUCKET_COUNT = 1
-) AS (
+{{
+    config(
+        materialized='table',
+        partitioned_by=['year'],
+        bucketed_by=['pin10'],
+        bucket_count=1
+    )
+}}
+
+WITH chicago AS (
     WITH distinct_pins AS (
         SELECT DISTINCT
             x_3435,
             y_3435
-        FROM spatial.parcel
+        FROM {{ source('spatial', 'parcel') }}
     ),
 
     distinct_years AS (
         SELECT DISTINCT year
-        FROM spatial.parcel
+        FROM {{ source('spatial', 'parcel') }}
     ),
 
     distinct_years_rhs AS (
-        SELECT DISTINCT year FROM spatial.police_district
+        SELECT DISTINCT year FROM {{ source('spatial', 'police_district') }}
         UNION ALL
-        SELECT DISTINCT year FROM spatial.community_area
+        SELECT DISTINCT year FROM {{ source('spatial', 'community_area') }}
         UNION ALL
-        SELECT DISTINCT year FROM spatial.industrial_corridor
+        SELECT DISTINCT year FROM {{ source('spatial', 'industrial_corridor') }}
     ),
 
     police_district AS (
@@ -44,12 +45,12 @@ WITH (
                 SELECT
                     dy.year AS pin_year,
                     MAX(df.year) AS fill_year
-                FROM spatial.police_district AS df
+                FROM {{ source('spatial', 'police_district') }} AS df
                 CROSS JOIN distinct_years AS dy
                 WHERE dy.year >= df.year
                 GROUP BY dy.year
             ) AS fill_years
-            LEFT JOIN spatial.police_district AS fill_data
+            LEFT JOIN {{ source('spatial', 'police_district') }} AS fill_data
                 ON fill_years.fill_year = fill_data.year
         ) AS cprod
             ON ST_WITHIN(
@@ -77,12 +78,12 @@ WITH (
                 SELECT
                     dy.year AS pin_year,
                     MAX(df.year) AS fill_year
-                FROM spatial.community_area AS df
+                FROM {{ source('spatial', 'community_area') }} AS df
                 CROSS JOIN distinct_years AS dy
                 WHERE dy.year >= df.year
                 GROUP BY dy.year
             ) AS fill_years
-            LEFT JOIN spatial.community_area AS fill_data
+            LEFT JOIN {{ source('spatial', 'community_area') }} AS fill_data
                 ON fill_years.fill_year = fill_data.year
         ) AS cprod
             ON ST_WITHIN(
@@ -110,12 +111,13 @@ WITH (
                 SELECT
                     dy.year AS pin_year,
                     MAX(df.year) AS fill_year
-                FROM spatial.industrial_corridor AS df
+                FROM {{ source('spatial', 'industrial_corridor') }} AS df
                 CROSS JOIN distinct_years AS dy
                 WHERE dy.year >= df.year
                 GROUP BY dy.year
             ) AS fill_years
-            LEFT JOIN spatial.industrial_corridor AS fill_data
+            LEFT JOIN
+                {{ source('spatial', 'industrial_corridor') }} AS fill_data
                 ON fill_years.fill_year = fill_data.year
         ) AS cprod
             ON ST_WITHIN(
@@ -136,7 +138,7 @@ WITH (
         pd.chicago_police_district_num,
         pd.chicago_police_district_data_year,
         pcl.year
-    FROM spatial.parcel AS pcl
+    FROM {{ source('spatial', 'parcel') }} AS pcl
     LEFT JOIN police_district AS pd
         ON pcl.x_3435 = pd.x_3435
         AND pcl.y_3435 = pd.y_3435
@@ -151,3 +153,5 @@ WITH (
         AND pcl.year = ic.pin_year
     WHERE pcl.year >= (SELECT MIN(year) FROM distinct_years_rhs)
 )
+
+SELECT * FROM chicago;