Release Notes
View OmniStateStore version information and feature updates.
Version Mapping
Product Version
| Product Name | Kunpeng BoostKit |
| Product Version | 26.1.0 |
| Software Name and Version | OmniStateStore 1.3.0 |
Software Versions
| Item | Version |
|---|---|
| OS | openEuler 22.03 LTS SP3 |
| GCC | 10.3.1 |
| JDK | BiSheng JDK 1.8.0_432 |
| Flink | 1.16.3 |
| FRocksDB | 6.20.3 |
Hardware Version
| Processor | Kunpeng 920 |
| Memory Size | 32 GB or above |
Virus Scan Result
The software packages, release documents, and product documents have been scanned by multiple antivirus software, and no virus is found.
| Engine Name | QiAnXin |
| Engine Version | 8.0.5.5260 |
| Virus Lib Version | 2026-03-10 08:00:00.0 |
| Scan Time | 2026-03-11 22:44:53 |
| Scan Result | OK |
| Engine Name | Bitdefender |
| Engine Version | 7.5.1.200224 |
| Virus Lib Version | 7.99958 |
| Scan Time | 2026-03-11 22:45:17 |
| Scan Result | OK |
| Engine Name | Kaspersky |
| Engine Version | 12.0.0.6672 |
| Virus Lib Version | 2026-03 10:04:00 |
| Scan Time | 2026-03 22:44:59 |
| Scan Result | OK |
Version Updates
V1.2.0
Change Description
The current version aims to address poor I/O performance in big data scenarios by enhancing Flink's efficiency in using RocksDB and overall I/O operations. The architecture of version 1.2.0 has been revised and is independent of versions 1.1.0 and 1.0.0. The new features include:
New Features
- Flink semantic state caching algorithm: States with the same key are preferentially aggregated in memory, reducing the frequency of RocksDB accesses.
- Flink intelligent multi-stream awareness algorithm: For states that require only point reads and writes, the MemTable data structure is replaced with a HashLinkList to improve the efficiency of point operations.
- Replace RMW with Merge: Reduces the state update overhead for the Join operator.
- Dual-stream Join data cache algorithm: Minimizes the number of range queries on the state in the StreamJoinOperator.
- Dynamic filter: Eliminates redundant state query operations.
Modified Features
None
Removed Features
Delete some features such as key-value separation and persistent storage of priority queues.
Resolved Issues
None
Known Issues
None
V1.1.0
Change Description
In the current version, a new state storage technology is introduced to improve the I/O performance of Flink in big data scenarios.
New Features
- Interconnection with the Flink metric framework to implement some common metrics
- Persistent storage of priority queues
- Key-value separated storage
Modified Features
None
Removed Features
None
Resolved Issues
None
Known Issues
None
V1.0.0
Change Description
In the current version, a new state storage technology is introduced to improve the I/O performance of Flink in big data scenarios.
New Features
None
Modified Features
None
Removed Features
None
Resolved Issues
None
Known Issues
None
1.3 Related Documentation
Related Documentation
| Document | Description | Delivery Method |
|---|---|---|
| 1.3.0 Release Notes | Provides OmniStateStore version update and release information. | Open-source repository |
| Quick Start | Provides quick start tutorials to help users quickly understand and use OmniStateStore. | Open-source repository |
| Installation Guide | Provides guidance on how to install and deploy OmniStateStore. | Open-source repository |
| User Guide | Provides guidance on how to use OmniStateStore. | Open-source repository |
| FAQs | Records the issues that may occur during the installation, deployment, and use and their solutions. | Open-source repository |
| Best Practices | Provides practical examples in typical OmniStateStore application scenarios to help users optimize performance and enhance the user experience. | Open-source repository |
| Design Guide | Describes the system architecture and acceleration mechanisms of OmniStateStore, helping developers understand its design principles. | Open-source repository |
Obtaining Documentation
Visit the Open-source repository to view or download related documents.