10.1 About Embedded R Execution

In OML4R, embedded R execution is the ability to run R scripts in R engines that are dynamically spawned and managed by the database environment.

You can store R scripts in the OML4R script repository and to call such scripts with embedded R functions. When called, a script runs in one or more R engines that run on the database server. OML4R provides both an R interface and a SQL interface for embedded R execution on Oracle Database, R, SQL, and REST interfaces on Autonomous Database. From the same R script you can get structured data, an XML representation of R objects and images, and even PNG images through a BLOB column in a database table.

The following topics describe embedded R execution:

• Benefits of Embedded R Execution
  Embedded R Execution has the following benefits:
• APIs for Embedded R Execution
  Oracle Machine Learning for R provides R, SQL and REST interfaces for Embedded R Execution.
• Support for Parallel Execution
  Some of the Oracle Machine Learning for R Embedded R Execution functions support the use of parallel execution in the database.