- 22.1 Release
- 22.0 Release
- 21.3 Release
- Dev Build
- Reference Manuals
- Native Image
- Java on Truffle
- GraalVM Updater
- Embedding Reference
- Polyglot Programming
- Java Reference
- LLVM Languages Reference
- Python Reference
- Ruby Reference
- Debugging Ruby
- Runtime Configurations
- Using Ruby with GraalVM
- Installing `libssl`
- Installing Make and GCC
- Installing `zlib`
- Migration from JRuby to Ruby
- TruffleRuby Options and Command Line
- Polyglot Programming
- Ruby Managers and Installers
- Standalone Distribution
- Development Tools for Ruby
- Ruby Additional Functionality
- Setting up a UTF-8 Locale
- Reporting Performance Problems
- Optcarrot Example
- R Reference
- WebAssembly Reference
If you are attempting to experiment with deploying TruffleRuby to production we would encourage you to contact us so we can help you understand what is possible at the moment and to help solve any issues for you.
This document details TruffleRuby’s different runtime configurations.
TruffleRuby Runtime Configurations #
There are two main configurations of TruffleRuby - native and JVM. It is important to understand the different configurations of TruffleRuby, as each has different capabilities and performance characteristics. You should pick the execution mode that is appropriate for your application.
Native Configuration #
When distributed as part of GraalVM, TruffleRuby by default runs in the native configuration. In this configuration, TruffleRuby is ahead-of-time compiled to a standalone native executable. This means that you do not need a JVM installed on your system to use it.
The advantages of the native configuration are that it starts about as fast as MRI, it may use less memory, and it becomes fast in less time than the JVM configuration. The disadvantages are that you can’t use Java tools like VisualVM, it is less convenient for Java interoperability (see the details here), and peak performance may be lower than on the JVM.
The native configuration is used by default, but you can also request it using
To use polyglot programming with the native configuration, you need to pass the
JVM Configuration #
TruffleRuby can also be used in the JVM configuration, where it runs as a normal Java application on the JVM.
The advantages of the JVM configuration are that you can use Java interoperability easily, and peak performance may be higher than the native configuration.
The disadvantages are that it takes much longer to start and to get fast, and may use more memory.
You can select the JVM configuration by passing
Selecting the Best Configuration #
If you are running a short-running program you probably want the default, native, configuration.
If you are running a long-running program and want the highest possible performance you probably want the JVM configuration, by using
Getting the Best Startup Time Performance #
To get the best startup time in most cases you want to use the native configuration, which is the default.
Getting the Lowest Memory Footprint #
To get the lowest memory footprint you probably initially want to use the native configuration, but as you get a larger working set of objects you may find that the simpler garbage collector and current lack of compressed ordinary object pointers (OOPS) actually increases your memory footprint and you will be better off with the JVM configuration using
--jvm to reduce memory use.
Getting the Best Peak Performance from TruffleRuby #
To get the best peak performance from TruffleRuby for longer-running applications we would in most cases recommend the JVM configuration with
However to reach this peak performance you need to warm-up TruffleRuby, as you do with most heavily optimising virtual machines. This is done by running the application under load for a period of time. If you monitor the performance (by measuring operation time or response time) you will see it reduce over time and then probably stabilise.
Ruby application logging and warning works as in the standard implementation of Ruby.
For logging of TruffleRuby internals, standard Java logging is used.
The logging level can be set with
=FINEST, or so on.