A high-performance Java library for parsing and writing UUIDs, significantly faster than the standard JDK implementation.
fast-uuid is a Java library that provides ultra-fast methods for parsing UUID strings and converting UUID objects to strings. It solves the performance bottlenecks of the standard JDK UUID handling, particularly for applications that process large quantities of UUIDs or require low-latency operations. The library achieves significant speedups by using specialized parsers and minimizing object allocations.
Java developers working on high-throughput systems, data processing pipelines, or performance-sensitive applications that need to handle UUIDs efficiently, such as databases, messaging systems, or microservices.
Developers choose fast-uuid for its dramatic performance improvements over the JDK's built-in UUID methods, especially under Java 8 and older. It reduces garbage collection pressure and provides consistent, optimized operations for UUID parsing and serialization across different Java versions.
A Java library for quickly and efficiently parsing and writing UUIDs
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Benchmarks show 14x faster parsing than Java 8's UUID.fromString() and 6x faster than Java 9+, using a specialized, allocation-efficient parser that avoids substring splits and concatenations.
For Java 8, UUID-to-string conversion is up to 6x faster by pre-allocating StringBuilders and minimizing intermediate string allocations, though it smartly delegates to the native JDK in Java 9+ for best performance.
The library is designed to avoid unnecessary object allocations during both parsing and writing, making it ideal for high-throughput scenarios where garbage collection overhead is a concern.
It's a lightweight library with no external dependencies, easily integrated via Maven Central or by adding the jar directly, as highlighted in the README's usage section.
For UUID-to-string conversion on Java 9 and above, the library simply calls the native JDK method, offering no performance benefit and adding an extra layer for this operation, as admitted in the README.
The performance gains come from trading general-purpose error handling and flexibility for speed; for example, the parser assumes fixed UUID formats and may provide less detailed error messages than the standard JDK.
Integrating the library adds complexity for applications that don't process UUIDs at high volumes, as the standard JDK methods are sufficient and more familiar for most development teams.