Welcome to the era of powerful databases designed for modern architectures. Tsurugi is an open-source relational database system that is engineered to take full advantage of the countless CPU cores and vast memory capacities available today. Dive in with us as we explore how to set up and utilize Tsurugi for your projects!
Getting Started with Tsurugi
Are you ready to harness the strength of Tsurugi? Let’s break it down into bite-sized pieces:
1. Use on Linux
- Check out the guide for Tsurugi Getting Started.
- For our Japanese speaking friends, visit the Tsurugi Getting Started (ja).
2. Use on Docker
- Refer to the Tsurugi Docker User Guide for detailed instructions.
- Japanese users can find it here: Tsurugi Docker (ja).
Documentation
To ensure you’re able to maximize Tsurugi’s capabilities, make sure to consult the following documentation:
For more documents, be sure to check the docs directory.
Understanding Tsurugi: An Analogy
Think of Tsurugi as a multi-lane highway designed for high-speed travel (data processing) with numerous ramps (interfaces) allowing for efficient entry and exit points. Each lane represents a different processor core, capable of handling multiple cars (transactions) simultaneously without traffic jams (data inconsistencies). Just as a well-planned highway ensures a smooth journey with minimal stops, Tsurugi ensures performance and consistency even under heavy loads.
Known Limitations
Before proceeding, it’s essential to understand some limitations:
- User control, including authentications and authorizations, is currently not functional.
Sub Projects within Tsurugi
Tsurugi has several exciting subprojects you might want to explore:
- Shirakami – A Concurrency control system
- Yakushima – In-memory index
- Limestone – Data store for transaction logs
- Sharksfin – KVS adapter for transaction engine
- …and many more interesting subcomponents!
Troubleshooting and Further Insights
As you embark on your journey with Tsurugi, you might encounter some hiccups along the way. Here are a few troubleshooting tips:
- Double-check your installation instructions and documentation links for accuracy.
- Ensure that your system meets the necessary hardware specifications.
- Engage with the community for support on specific issues by visiting the repository for issue tracking or post on the discussions forum.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.