# This code creates the the mcaid performance measures distinct member table
#
# It is designed to be run as part of the master Medicaid script:
# https://github.com/PHSKC-APDE/claims_data/blob/main/claims_db/db_loader/mcaid/master_mcaid_analytic.R
#
# R script developed by Alastair Matheson based on Philip Sylling's stored procedure
#
### NB. There is no accompanying YAML file as everything is set in this script
### Function elements
# conn = database connection
# server = whether we are working in HHSAW or PHClaims
load_stage_mcaid_perf_distinct_member_f <- function(conn = NULL,
server = c("hhsaw", "phclaims")) {
# Set up variables specific to the server
server <- match.arg(server)
if (server == "hhsaw") {
to_schema <- "claims"
to_table <- "stage_"
} else if (server == "phclaims") {
to_schema <- "stage"
to_table <- ""
}
#### Drop existing table ####
DBI::dbExecute(conn,
glue::glue_sql("IF OBJECT_ID('{`to_schema`}.{DBI::SQL(to_table)}mcaid_perf_distinct_member','U') IS NOT NULL
DROP TABLE {`to_schema`}.{DBI::SQL(to_table)}mcaid_perf_distinct_member;",
.con = conn))
#### Make table ####
DBI::dbExecute(conn,
glue::glue_sql("SELECT DISTINCT
[id_mcaid]
,CAST(GETDATE() AS DATE) AS [load_date]
INTO {`to_schema`}.{DBI::SQL(to_table)}mcaid_perf_distinct_member
FROM {`to_schema`}.{DBI::SQL(to_table)}mcaid_perf_enroll_denom",
.con = conn))
#### Make index ####
DBI::dbExecute(conn,
glue::glue_sql("CREATE CLUSTERED INDEX [idx_cl_mcaid_perf_distinct_member_id_mcaid]
ON {`to_schema`}.{DBI::SQL(to_table)}mcaid_perf_distinct_member([id_mcaid])",
.con = conn))
}
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