Files
regorus/bindings/java
Anand Krishnamoorthi 49bd3c22f3 feat!: add Rego Virtual Machine (RVM) implementation (#495)
* feat!: add Rego Virtual Machine (RVM) implementation

This commit introduces a register-based virtual machine for executing Rego
policies with bytecode-style instructions. Unlike the existing tree-walking
interpreter, the RVM compiles policies into instruction sequences that operate
on virtual registers, offering better performance and optimization potential.

Core Components:

Instruction Set Architecture:
- Define instruction types for data operations, control flow, and builtins
- Implement instruction parameter encoding and display formatting
- Add instruction parser with comprehensive test coverage

Virtual Machine Engine:
- Register-based execution model with program counter management
- Loop execution supporting iterators, comprehensions, and quantifiers
- Function call handling with argument evaluation and context management
- Rule evaluation with default value resolution and virtual data support
- Arithmetic and comparison operation implementations

Program Representation:
- Program listing builder with instruction sequencing
- Rule tree construction for organizing policy rules
- Binary and JSON serialization for compiled programs
- Recompilation support for program modification

Testing Infrastructure:
- Extensive YAML test suites covering all VM features
- Rust unit tests for VM execution and instruction parsing
- Test suites for loops, comprehensions, builtins, and control flow

BREAKING CHANGE: Introduces new VM execution path alongside interpreter

Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>

* docs: add detailed RVM architecture references

Introduce architecture.md explaining program artifacts, serialization, and runtime subsystems.
Document the full opcode catalog in instruction-set.md, including operands, parameter tables, and outcomes.
Walk through execution flow, stacks, and operational guidance in vm-runtime.md, tying the runtime to the new architecture docs.

Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>

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Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
2025-11-14 11:43:19 -06:00
..
2025-03-10 11:56:01 -07:00
2024-02-22 15:00:07 -08:00
2024-02-18 08:21:58 -08:00
2025-03-10 11:56:01 -07:00

Regorus Java

Regorus is

  • Rego-Rus(t) - A fast, light-weight Rego interpreter written in Rust.
  • Rigorous - A rigorous enforcer of well-defined Rego semantics.

See main Regorus page for more details about the project.

Building

Due to operational overhead we don't publish Java bindings to Maven Central currently (see https://github.com/microsoft/regorus/issues/237) and you need to build from source to use it.

In order to build Regorus Java for a target platform, you need to install Rust target for that platform first:

$ rustup target add aarch64-apple-darwin

Afterwards, you can build native library for that target using:

$ cargo build --release --target aarch64-apple-darwin

You will then have a native library at target/aarch64-apple-darwin/release/libregorus_java.dylib depending on your target.

You then need to build Java bindings using:

$ mvn package

And you will have a JAR at ./target/regorus-java-0.1.5.jar.

Usage

You can use Regorus Java bindings as:

import com.microsoft.regorus.Engine;

public class Test {
    public static void main(String[] args) {
        try (Engine engine = new Engine()) {
            engine.addPolicy(
                "hello.rego",
                "package test\nmessage = concat(\", \", [input.message, data.message])"
            );
            engine.addDataJson("{\"message\":\"World!\"}");
            engine.setInputJson("{\"message\":\"Hello\"}");
            String resJson = engine.evalQuery("data.test.message");

            System.out.println(resJson);
        }
    }
}

You need to ensure artifacts built in previous section are in Java's classpath.

For example with java CLI:

$ java -Djava.library.path=../../target/aarch64-apple-darwin/release/ -cp target/regorus-java-0.1.5.jar Test.java

should gave you the output:

{"result":[{"expressions":[{"value":"Hello, World!","text":"data.test.message","location":{"row":1,"col":1}}]}]}