This R package provides function for connecting to various DBMSs.
connectionDetails <- createConnectionDetails(dbms="mysql", server="localhost", user="root", password="blah", schema="cdm_v4") conn <- connect(connectionDetails) querySql(conn,"SELECT COUNT(*) FROM person") disconnect(conn)
## regular data insert insertTable(connection = connection, tableName = "scratch.somedata", data = data, dropTableIfExists = TRUE, createTable = TRUE, tempTable = FALSE, useMppBulkLoad = FALSE) ## bulk data insert with Redshift or PDW insertTable(connection = connection, tableName = "scratch.somedata", data = data, dropTableIfExists = TRUE, createTable = TRUE, tempTable = FALSE, useMppBulkLoad = TRUE)
DatabaseConnector is an R package using Java's JDBC drivers.
Requires R. Also requires Java 1.6 or higher (Oracle Java is recommended. Issues have been reported when using GCJ.)
Please note that this package requires Java to be installed. If you don't have Java already intalled on your computed (on most computers it already is installed), go to java.com to get the latest version.
To be able to use Windows authentication for SQL Server, you have to install the JDBC driver. Download the .exe from Microsoft and run it, thereby extracting its contents to a folder. In the extracted folder you will find the file sqljdbc_4.0/enu/auth/x64/sqljdbc_auth.dll (64-bits) or sqljdbc_4.0/enu/auth/x86/sqljdbc_auth.dll (32-bits), which needs to be moved to location on the system path, for example to c:/windows/system32.
DatabaseConnector also depends on the OHDSI DatabaseConnectorJars and SqlRender packages.
For Redshift Bulk Mpp inserts, the cloudyR aws S3 pacakge is required.
To install the latest stable version, install from CRAN:
To install the latest development version, install from GitHub:
install.packages("devtools") devtools::install_github("ohdsi/DatabaseConnectorJars") devtools::install_github("ohdsi/DatabaseConnector")
DatabaseConnector is licensed under Apache License 2.0. The JDBC drivers fall under their own respective licenses.
DatabaseConnector is being developed in R Studio.
Stable. The code is actively being used in several projects.
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