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IginX -- An open-source clustering system for multi-dimensional scaling of standalone time series databases through generalized sharding.

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IginX

What is IginX?

IginX (Intelligent/IoTDB Engine X) is an open-source clustering system for multi-dimensional scaling of standalone time series databases through generalized sharding. It is emerged and evolved from the middleware system IKR, already deployed in real applications.

IginX features in the following aspects:

  • High Scalability

IginX is a stateless service. It can be easily scaled out or scaled up. You can expand the system's routing and processing capacity by simply adding new IginX instances. Vertically scale-up the computing resources for a single instance can also expand the system's capacity.

  • Smooth Elasticity

With IginX you can even split and merge slices in multiple dimensions as your needs grow, with an atomic cutover step that takes only a few seconds. Applications will rarely notice any performance degradation in the process, thanks to the carefully tailored design of metadata and reconfiguration procedure.

  • Transparent Data Distribution

By encapsulating data slice orchestration logic, IginX allows application code and time series data queries to remain agnostic to the distribution of data onto multiple slices. Users need only care about the data access logic of their applications by IginX.

  • Integration with Heterogeneous Databases

IginX provides a common abstraction of time series databases. As long as an implementation of the abstraction is provided and configured for a time series database, it can be managed by and accessed through IginX. Within a running cluster of IginX, heterogenous time series databases can coexist and serve the same set of applications.

  • Flexible Slicing and Replication

IginX allows for flexible data slicing and replication to suit the skewed application workloads, which commonly exist in real world. This can be achieved through an implementation of the IPolicy interface.

For more details, please refer to our technological posts on time series management under this link. However, IginX is still under active development and yet to be mature. You are highly encourage to try it and share us with your experience.

Quick start

Quick starts in Chinese (A complete version——完整版部署说明文档):

Or, please refer to our User manual in Chinese. User manual in English is still being written.

To understand technological designs in IginX

If you are interested in time series data management by large, you are highly welcomed to join our IginX workshop in every month's last Friday afternoon at 2pm by Tencent online meeting. Please contact the IginX-maintainers for information about the Tencent online meeting.

To start developing IginX

Contributions are welcomed and greatly appreciated. To report a problem the best way to get attention is to create a GitHub issue. To report a security vulnerability, please email IginX-maintainers.

Architecture

IginX cluster architecture

License

Unless otherwise noted, the IginX source files are distributed under the Apache Version 2.0 license found in the LICENSE file.