Open saurav2608 opened 6 years ago
Using in_schema()
works for me:
options(dplyr.jdbc.classpath = "~/Projects/carrothealth_r_package/data/snowflake-jdbc-3.6.21.jar")
library(dplyr)
library(dbplyr)
devtools::load_all()
my_db <- src_snowflakedb(user = "zach_s_admin",
password = "REDACTED",
account = "REDACTED",
opts = list(warehouse = "development_x_small",
db = "WAREHOUSE",
schema = "PUBLIC",
role = "DEV_USERS"))
zips_w <- tbl(my_db, in_schema('WAREHOUSE.GEO', 'ZIPS'))
counties_s <- tbl(my_db, in_schema('STAGING.GEO', 'COUNTIES'))
inner_join(
zips_w %>% filter(ZIP == 55414),
counties_s
) %>% show_query()
@saurav2608 for what it's worth, my repo handles the dbplyr::in_schema() for you: https://github.com/ZacharyRSmith/RSnowflake
Is there a way to join two tables from different schemas? At this time I think one option is to set copy=TRUE in dplyr::left_join. However, copy has serious performance issues.