README.md 4.1 KB
EMQ X Kuiper - An edge lightweight IoT data analytics software
Overview
EMQ X Kuiper is an edge lightweight IoT data analytics / streaming software implemented by Golang, and it can be run at all kinds of resource constrained edge devices. One goal of Kuiper is to migrate the cloud streaming software frameworks (such as Apache Spark，Apache Storm and Apache Flink) to edge side. Kuiper references these cloud streaming frameworks, and also considered special requirement of edge analytics, and introduced rule engine, which is based on Source, SQL (business logic) and Sink, rule engine is used for developing streaming applications at edge side.
User scenarios
It can be run at various IoT edge use scenarios, such as real-time processing of production line data in the IIoT; Gateway of Connected Vehicle analyze the data from data-bus in real time; Real-time analysis of urban facility data in smart city scenarios. Kuiper processing at the edge can reduce system response latency, save network bandwidth and storage costs, and improve system security.
Features
Lightweight
- Core server package is only about 4.5M, initial memory footprint is about 10MB
Cross-platform
- CPU Arch：X86 AMD * 32, X86 AMD * 64; ARM * 32, ARM * 64; PPC
- The popular Linux distributions, OpenWrt Linux, MacOS and Docker
- Industrial PC, Raspberry Pi, industrial gateway, home gateway, MEC edge cloud server
Data analysis support
- Support data extract, transform and filter through SQL
- Data order, group, aggregation and join
- 60+ functions, includes mathematical, string, aggregate and hash etc
- 4 time windows
Highly extensibile
Plugin system is provided, and it supports to extend at Source, SQL functions and Sink.
- Source: embedded support for MQTT, and provide extension points for sources
- Sink: embedded support for MQTT and HTTP, and provide extension points for sinks
UDF functions: embedded support for 60+ functions, and provide extension points for SQL functions
Management
Integration with EMQ X Edge
Seamless integration with EMQ X Edge, and provided an end to end solution from messaging to analytics.
Performance test result
Test scenario
- Using JMeter MQTT plugin to send simulation data to EMQ X Broker, such as:
{"temperature": 10, "humidity" : 90}, the value of temperature and humidity are random integer between 0 - 100. - Kuiper subscribe from EMQ X Broker, and analyze data with SQL:
SELECT * FROM demo WHERE temperature > 50 - The analysis result are wrote to local file by using file sink plugin.
| Devices | Message per second | CPU usage | Memory usage |
|---|---|---|---|
| Raspberry Pi 3B+ | 12k | sys+user: 70% | 20M |
| AWS t2.micro( 1 Core * 1 GB) Ubuntu18.04 |
10k | sys+user: 25% | 20M |
Documents
Build from source
Preparation
- Go version >= 1.11
Compile
- Binary:
$ make - Packages:
$ make pkg - Docker images:
$ make docker
To using cross-compilation, refer to this doc.