When processing time series data, the data write cycle is usually related to the frequency of the data collection device, sometimes requiring the processing of a large number of data points every second. Prolonged processing of such large volumes of data can lead to storage issues. An effective solution is to use streaming to downsample …
CnosDB is a distributed time series database system, where the metadata cluster is one of the core components responsible for managing the metadata information of the entire cluster. Metadata includes database catalogs, DDL operations, tenant and user permissions, data sharding distribution, cluster node information, and more. The metadata cluster achieves high availability through the …
CnosDB Metadata Cluster: The Brain of a Distributed Time Series Database Read More »
CnosDB is a database focused on time series data processing. It has designed and implemented three powerful data repair functions specifically for the characteristics of time series data: timestamp_repair – Effectively repairs the timestamp column, supporting operations such as insertion, deletion, and no change. value_repair – Intelligently repairs the value column, optimizing based on timestamp …
Observability refers to gaining deep insights into a system’s operational state, performance, and root causes of issues by collecting and analyzing various metrics and log data, thereby enhancing system reliability and maintainability. In modern software development, good observability helps developers and operations teams better monitor system status, identify potential issues, and take timely action to …
AWS: Building a Large-Scale Observability Platform with CnosDB Read More »
We have introduced many exciting new features and improvements, including support for system variables, enhanced HTTP compression, more GIS functions, and optimizations for tenant management. Additionally, we have made a series of performance optimizations and issue fixes to ensure the system is more stable and efficient. The specific updates are as follows: New Features Implemented …
Data quality issues can have a huge impact on data applications, seriously affecting various fields in the information society. According to statistics, over 25% of critical data in the world’s top 1000 companies is incorrect. In 2009, Dell’s Taiwan website sold 19-inch monitors priced at 4800 New Taiwan Dollars for 500 New Taiwan Dollars, resulting …
In modern multi-threaded and asynchronous programming, CancellationToken is a common tool for timely and safe cancellation of long-running tasks or operations. However, careless handling of such objects can lead to the serious problem of dangling pointers, which can lead to program crashes or unpredictable behavior. This article will explore the dangling pointer problem caused by the use …
CancellationToken: A must-read dangling pointer disaster case for programmers Read More »
In the v2.3.5 Aquarius release, we bring you a series of function optimizations and bug fixes to enhance the system’s performance and stability. Here are the main updates: Function Optimization Added compression tasks for incremental files.。#1945 Changed compaction operations for the same Vnode to run in a single thread. #2002 Bug Fixes Fixed an LRU …
In contemporary industrial automation systems, real-time monitoring and data analysis have become crucial. This article introduces how to achieve efficient data collection and storage from PLC devices in industrial control systems by integrating Apache PLC4X and CnosDB, providing engineers with more powerful data analysis and monitoring tools. Definition of PLC PLC stands for Programmable …
This article discusses the CnosDB system clock failure and proposes a solution to the system clock failure in a stand-alone environment and a cluster environment, which has very important guiding significance. Database fault tolerance: system clock failure Discussions arising from situations that may not exist One day, CnosDB intern Xiao Shao was designing time-sequential …
