Table optimization test.

Project.toml

 name = "FACT_data_API_reader"
 uuid = "77ed0678-dbc6-4e3d-9156-895052ddb5a7"
 authors = ["Riccardo Boero <ribo@nilu.no>"]
-version = "0.0.5"
+version = "0.0.6"
 
 [deps]
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"

src/data_services/FACT_air.jl

@@ -85,8 +85,10 @@ function us_air(conn_dict::Dict, selection::Dict)
     dftemp = DataFrame()
     # iterate over geo objects
     for (id, shape) in zip(geo_id, shape_obj)
+        # Extract the first two characters of id in Julia
+        id_short = id[1:2]
         # prepare query
-        query = "SELECT count(*) as airports, SUM(COALESCE(COMMERCIAL, 0) + COALESCE(COMMUTER_O, 0) + COALESCE(AIR_TAXI_O, 0) + COALESCE(LOCAL_OPS, 0) + COALESCE(ITNRNT_OPS, 0) + COALESCE(MIL_ACFT_O, 0)) as flights FROM us_airports WHERE fips_state = '"*id*"' AND ST_Intersects(ST_GeomFromText('"*shape*"'), SHAPE);"
+        query = "SELECT count(*) as airports, SUM(COALESCE(COMMERCIAL, 0) + COALESCE(COMMUTER_O, 0) + COALESCE(AIR_TAXI_O, 0) + COALESCE(LOCAL_OPS, 0) + COALESCE(ITNRNT_OPS, 0) + COALESCE(MIL_ACFT_O, 0)) as flights FROM us_airports WHERE fips_state = '"*id_short*"' AND ST_Intersects(ST_GeomFromText('"*shape*"'), SHAPE);"
         # create connection
         conn = establish_connection(conn_dict["host"], conn_dict["user"], conn_dict["password"], conn_dict["database"]; port=conn_dict["port"])
         # execute