--- title: "DBI connection examples" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{DBI connection examples} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = FALSE ) ``` The following connection examples are provided for reference. ### Postgres ```{r, eval=FALSE} con <- DBI::dbConnect(RPostgres::Postgres(), dbname = Sys.getenv("CDM5_POSTGRESQL_DBNAME"), host = Sys.getenv("CDM5_POSTGRESQL_HOST"), user = Sys.getenv("CDM5_POSTGRESQL_USER"), password = Sys.getenv("CDM5_POSTGRESQL_PASSWORD")) cdm <- cdmFromCon(con, cdmSchema = Sys.getenv("CDM5_POSTGRESQL_cdmSchema"), writeSchema = Sys.getenv("CDM5_POSTGRESQL_SCRATCH_SCHEMA")) DBI::dbDisconnect(con) ``` ### Redshift Redshift is almost identical to Postgres. ```{r, eval=FALSE} con <- DBI::dbConnect(RPostgres::Redshift(), dbname = Sys.getenv("CDM5_REDSHIFT_DBNAME"), host = Sys.getenv("CDM5_REDSHIFT_HOST"), port = Sys.getenv("CDM5_REDSHIFT_PORT"), user = Sys.getenv("CDM5_REDSHIFT_USER"), password = Sys.getenv("CDM5_REDSHIFT_PASSWORD")) cdm <- cdmFromCon(con, cdmSchema = Sys.getenv("CDM5_REDSHIFT_cdmSchema"), writeSchema = Sys.getenv("CDM5_REDSHIFT_SCRATCH_SCHEMA")) DBI::dbDisconnect(con) ``` ### SQL Server Using odbc with SQL Server requires driver setup described [here](https://solutions.posit.co/connections/db/r-packages/odbc/). Note, you'll likely need to [download the ODBC Driver for SQL Server](https://learn.microsoft.com/en-us/sql/connect/odbc/download-odbc-driver-for-sql-server?view=sql-server-ver16). ```{r, eval=FALSE} con <- DBI::dbConnect(odbc::odbc(), Driver = "ODBC Driver 18 for SQL Server", Server = Sys.getenv("CDM5_SQL_SERVER_SERVER"), Database = Sys.getenv("CDM5_SQL_SERVER_CDM_DATABASE"), UID = Sys.getenv("CDM5_SQL_SERVER_USER"), PWD = Sys.getenv("CDM5_SQL_SERVER_PASSWORD"), TrustServerCertificate="yes", Port = 1433) cdm <- cdmFromCon(con, cdmSchema = c("tempdb", "dbo"), writeSchema = c("ATLAS", "RESULTS")) DBI::dbDisconnect(con) ``` The connection to SQL Server can be simplified by configuring a DSN. See [here](https://www.r-bloggers.com/2018/05/setting-up-an-odbc-connection-with-ms-sql-server-on-windows/) for instructions on how to set up the DSN.If we named it "SQL", our connection is then simplified to. ```{r, eval=FALSE} con <- DBI::dbConnect(odbc::odbc(), "SQL") cdm <- cdmFromCon(con, cdmSchema = c("tempdb", "dbo"), writeSchema = c("ATLAS", "RESULTS")) DBI::dbDisconnect(con) ``` ### Snowflake We can use the odbc package to connect to snowflake. ```{r, eval=FALSE} con <- DBI::dbConnect(odbc::odbc(), SERVER = Sys.getenv("SNOWFLAKE_SERVER"), UID = Sys.getenv("SNOWFLAKE_USER"), PWD = Sys.getenv("SNOWFLAKE_PASSWORD"), DATABASE = Sys.getenv("SNOWFLAKE_DATABASE"), WAREHOUSE = Sys.getenv("SNOWFLAKE_WAREHOUSE"), DRIVER = Sys.getenv("SNOWFLAKE_DRIVER")) cdm <- cdmFromCon(con, cdmSchema = c("OMOP_SYNTHETIC_DATASET", "CDM53"), writeSchema = c("ATLAS", "RESULTS")) DBI::dbDisconnect(con) ``` Note, as with SQL server we could set up a DSN to simplify this connection as described [here](https://docs.snowflake.com/developer-guide/odbc/odbc-windows) for windows and [here](https://docs.snowflake.com/developer-guide/odbc/odbc-mac) for macOS. ### Databricks/Spark Please follow the instructions here: https://solutions.posit.co/connections/db/databases/databricks/ ```{r} con <- DBI::dbConnect( odbc::databricks(), httpPath = Sys.getenv("DATABRICKS_HTTPPATH"), useNativeQuery = FALSE ) cdm <- cdmFromCon(con, cdmSchema = "gibleed", writeSchema = "scratch") DBI::dbDisconnect(con) ``` ### Duckdb Duckdb is an in-process database. We use the duckdb package to connect. ```{r, eval=FALSE} con <- DBI::dbConnect(duckdb::duckdb(), dbdir=Sys.getenv("CDM5_DUCKDB_FILE")) cdm <- cdmFromCon(con, cdmSchema = "main", writeSchema = "main") DBI::dbDisconnect(con) ```