7 Administrative Tasks for Oracle Machine Learning for R

This chapter describes administrative tasks for maintaining and optimizing OML4R.

This chapter contains these topics:

• Install Oracle R Distribution on Linux in a Non-Default R_HOME
  The Oracle R Distribution RPMs can be installed to a directory other than the default Linux R_HOME, /usr/lib64/R.
• Upgrade Oracle Machine Learning for R
  You can upgrade OML4R to the current release from any previous release by reinstalling the product.
• Migrate Oracle Machine Learning for R Data
  OML4R Server includes migration scripts that you can run to migrate the RQSYS schema and OML4R user data from a source database to a target database
• Migrate Oracle Machine Learning for R After a Database Upgrade
  After upgrading your Oracle Database, you must migrate your OML4R Server components to the new ORACLE_HOME.
• Uninstall Oracle Machine Learning for R
  Instructions for uninstalling OML4R
• Install Additional R Packages on Linux or UNIX
  On Linux and UNIX platforms, the OML4R Server installation provides the ORE script, which you can run from the operating system prompt to install additional R packages.
• Create a Database User for Oracle Machine Learning for R
  In Database 18c or later, the rquser.sql script ships with Oracle Database 18c and later and resides in the $ORACLE_HOME/R/server directory. The script installs creates a new OML4R user, and the script rqgrant.sql in the same directory applies the required grants to the new user. With Oracle Database 12c and earlier, the server script installation process automatically creates or configures a user for OML4R if one does not already exist.
• Create and Modify Environment Variables on Windows
  If the PATH, ORACLE_SID, and ORACLE_HOME environment variables do not exist, you must create them.
• Create an Oracle Wallet for an Oracle Machine Learning for R Connection
  An Oracle wallet is a password-protected container for storing security credentials in Oracle Database.
• Control Memory Used by Embedded R
  How to control the memory used by embedded R execution.