##we need to make a cross-ref table for the feature names
source('R/functions.R')
source('R/packages.R')
source('R/tables-phase2.R')
conn <- DBI::dbConnect(
RPostgres::Postgres(),
dbname = "postgis",
host = "localhost",
port = "5432",
user = "postgres",
password = "postgres"
)
# # ##list tables in a schema
dbGetQuery(conn,
"SELECT table_name
FROM information_schema.tables
WHERE table_schema='whse_basemapping'")
##list column names in a table
dbGetQuery(conn,
"SELECT column_name,data_type
FROM information_schema.columns
WHERE table_schema = 'whse_fish'
and table_name='fiss_obstacles_pnt_sp'")
##list distinct column names in a table
xref_fiss_obstacles <- dbGetQuery(conn, "SELECT distinct a.obstacle_name FROM whse_fish.fiss_obstacles_pnt_sp a") %>%
as_tibble() %>% mutate(spreadsheet = NA_character_)
# xref_fwa_obstructions <- dbGetQuery(conn, "SELECT distinct a.obstruction_type FROM whse_basemapping.fwa_obstructions_sp a") %>%
# as_tibble()
xref_spreadsheat <- unique(hab_features$feature_type)
##I have cut the resulting tibble into the 0310-tables.R file
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