test_summarise_quantile <- function(con, write_schema) { eunomia_con <- DBI::dbConnect(duckdb::duckdb(), dbdir = eunomia_dir()) eunomia_cdm <- cdm_from_con(eunomia_con, cdm_schema = "main") %>% cdm_select_tbl("person") person <- dplyr::collect(eunomia_cdm$person) DBI::dbDisconnect(eunomia_con, shutdown = TRUE) tempname <- paste0("temp", floor(10*as.numeric(Sys.Date()) %% 1e6), "_person") DBI::dbWriteTable(con, inSchema(write_schema, tempname, dbms = dbms(con)), person) person_ref <- dplyr::tbl(con, inSchema(write_schema, tempname, dbms = dbms(con))) # summariseQuantile without group by actual <- person_ref %>% summarise_quantile(year_of_birth, probs = round(seq(0, 1, 0.05), 2), name_suffix = "quant") %>% dplyr::collect() %>% tidyr::gather() %>% dplyr::pull(value) %>% sort() expected <- quantile(person$year_of_birth, round(seq(0, 1, 0.05), 2), type = 1) %>% unname() %>% sort() expect_equal(actual, expected) # summariseQuantile with group by actual <- person_ref %>% dplyr::group_by(gender_concept_id) %>% summarise_quantile(x = year_of_birth, probs = 0.5) %>% dplyr::collect() %>% dplyr::arrange(gender_concept_id) %>% dplyr::pull("p50_value") expected <- person %>% dplyr::group_by(gender_concept_id) %>% dplyr::summarise(p50_value = quantile(year_of_birth, 0.5)) %>% dplyr::arrange(gender_concept_id) %>% dplyr::pull("p50_value") %>% unname() expect_equal(actual, expected) DBI::dbRemoveTable(con, inSchema(write_schema, tempname, dbms = dbms(con))) } dbtype = "snowflake" for (dbtype in dbToTest) { test_that(glue::glue("{dbtype} - summariseQuantile"), { con <- get_connection(dbtype) prefix <- paste0("test", as.integer(Sys.time()), "_") write_schema <- get_write_schema(dbtype, prefix = prefix) skip_if(any(write_schema == "") || is.null(con)) test_summarise_quantile(con, write_schema) disconnect(con) }) }