Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizen Xing Han Mandu for the clue delivery! CTOnews.com March 17 news, according to openGemini release, openGemini officially applied to join the openEuler DB SIG in February 2023, has completed various compatibility tests for openEuler, and plans to join the openEuler version 23.03. openGemini can collaborate with the openEuler community in areas such as IoT, embedded, edge computing, and operations monitoring (AIOps).

openGemini is a cloud-native distributed time series database designed and developed by Huawei Cloud Database Innovation Lab. Mainly for scenarios such as the Internet of Things and operation and maintenance monitoring, it provides open source solutions for massive time series database processing and analysis to further reduce enterprise operation and maintenance costs and improve product quality and production efficiency.

openGemini has experienced the initial technical exploration transformed by InfluxDB, the development of cloud service commercialization, self-developed kernel enhancement and open source, etc. It has withstood the polishing and testing of different business scenarios of more than 100 users inside and outside Huawei Cloud. Now it has opened all core source codes, fully embraced open source, and built a development community of sharing, co-governance and co-construction.

openGemini adopts MPP massively parallel processing layered architecture, which consists of ts-sql, ts-store and ts-meta.

ts-sql: Unified processing of client requests. The data is scattered and stored in different ts-stores according to the time-line consistent Hash method. During the execution of the query statement, the data is retrieved from the ts-store and summarized, and returned to the client.

ts-meta: unified metadata management. Database cluster metadata and database metadata management, such as node information, data retention time, data partition information, table information, etc.

ts-store: Unified data management. The original data is organized and stored uniformly according to the time-series optimized data format. When querying, the data is queried according to the specified time range and timeline ID, and the target data is returned according to the filtering conditions.

OpenGemini open source continuous version iteration, has been released v1.0.0 version, in high performance, high security, enterprise-level features, scalability, functionality, application development and other six aspects have been fully capable of production environment can be used.

In terms of time series big data processing, openGemini has initially completed the key capability construction and technical ecological docking of data access, data storage, data visualization, data analysis, data migration and other links.

On the cloud native side, openGemini already supports containerized deployment of K8s and KubeEdge, and is actively innovating with the KubeEdge community.

In terms of underlying operating systems, openGemini supports mainstream Linux systems and x86, arm64 and other architectures.

In terms of application development, it supports C / C++, Java, JavaScript, Ruby, GO, Python, PHP and other mainstream development languages.

For more information, see this link.

CTOnews.com attaches openGemini project address:

https://github.com/openGemini

https://gitee.com/src-openeuler/openGemini

Official website address: openGemini.org

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