ekuiper-new/deploy/docker

Dockerfile links

• emqx/kuiper

Quick reference

• Where to get help:

Web

• https://github.com/emqx/kuiper

Documents

• Getting started

• Reference guide

• Where to file issues:

https://github.com/emqx/kuiper/issues

• Supported architectures

amd64, arm64v8, arm32v7, i386, ppc64le

• Supported Docker versions:

The latest release

Image Variants

The emqx/kuiper images come in many flavors, each designed for a specific use case.

emqx/kuiper:<tag>

This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container (mount your source code and start the container to start your app), as well as the base to build other images off of.

emqx/kuiper:<tag>-slim

This image does only contains the minimal packages needed to run kuiper

emqx/kuiper:<tag>-alpine

This image is based on the popular Alpine Linux project, available in the alpine official image. Alpine Linux is much smaller than most distribution base images (~5MB), and thus leads to much slimmer images in general.

This variant is highly recommended when final image size being as small as possible is desired. The main caveat to note is that it does use musl libc instead of glibc and friends, so certain software might run into issues depending on the depth of their libc requirements. However, most software doesn't have an issue with this, so this variant is usually a very safe choice. See this Hacker News comment thread for more discussion of the issues that might arise and some pro/con comparisons of using Alpine-based images.

To minimize image size, it's uncommon for additional related tools (such as git or bash) to be included in Alpine-based images. Using this image as a base, add the things you need in your own Dockerfile (see the alpine image description for examples of how to install packages if you are unfamiliar).

What is Kuiper

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 3MB, initial memory usage is about 10MB

• Cross-platform

  • CPU Arch：X86 AMD * 32, X86 AMD * 64; ARM * 32, ARM * 64; PPC
  • The popular Linux distributions, 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
  • Stream and rule management through CLI
  • Stream and rule management through REST API (In planning)
  • Easily be integrate with KubeEdge and K3s, which bases Kubernetes
• Integration with EMQ X Edge Seamless integration with EMQ X Edge, and provided an end to end solution from messaging to analytics.

How to use this image

Run kuiper

Execute some command under this docker image

docker run -d -v `pwd`:$somewhere emqx/kuiper:$tag $somecommand

For example

docker run -d --name kuiper -e MQTT_BROKER_ADDRESS=$MQTT_BROKER_ADDRESS emqx/kuiper:$tag

5 minutes quick start

1. Set Kuiper source to an MQTT server. This sample uses server locating at tcp://broker.emqx.io:1883. broker.emqx.io is a public MQTT test server hosted by EMQ.

   docker run -d --name kuiper -e MQTT_BROKER_ADDRESS=tcp://broker.emqx.io:1883 emqx/kuiper:$tag

1. Create a stream - the stream is your stream data schema, similar to table definition in database. Let's say the temperature & humidity data are sent to broker.emqx.io, and those data will be processed in your LOCAL RUN Kuiper docker instance. Below steps will create a stream named demo, and data are sent to devices/device_001/messages topic, while device_001 could be other devices, such as device_002, all of those data will be subscribed and handled by demo stream.

   -- In host
   # docker exec -it kuiper /bin/sh
   
   -- In docker instance
   # bin/cli create stream demo '(temperature float, humidity bigint) WITH (FORMAT="JSON", DATASOURCE="devices/+/messages")'
   Connecting to 127.0.0.1:20498...
   Stream demo is created.
   
   # bin/cli query
   Connecting to 127.0.0.1:20498...
   kuiper > select * from demo where temperature > 30;
   Query was submit successfully.
   

1. Publish sensor data to topic devices/device_001/messages of server tcp://broker.emqx.io:1883 with any MQTT client tools. Below sample uses mosquitto_pub.

   # mosquitto_pub -h broker.emqx.io -m '{"temperature": 40, "humidity" : 20}' -t devices/device_001/messages

1. If everything goes well, you can see the message is print on docker bin/cli query window. Please try to publish another message with temperature less than 30, and it will be filtered by WHERE condition of the SQL.

   kuiper > select * from demo WHERE temperature > 30;
   [{"temperature": 40, "humidity" : 20}]

If having any problems, please take a look at log/stream.log.

1. To stop the test, just press ctrl + c in bin/cli query command console.

2. Next for exploring more powerful features of EMQ X Kuiper? Refer to below for how to apply EMQ X Kuiper in edge and integrate with AWS / Azure IoT cloud.

   • Lightweight edge computing EMQ X Kuiper and Azure IoT Hub integration solution 简体中文
   • Lightweight edge computing EMQ X Kuiper and AWS IoT Hub integration solution 简体中文

Configuration

Use the environment variable to configure etc/client.yaml on the Kuiper container.

Options	Default	Mapped
CLIENT_HOST	127.0.0.1	client.basic.debug
CLIENT_PORT	20498	client.basic.port

Use the environment variable to configure etc/kuiper.yaml on the Kuiper container.

Options	Default	Mapped
KUIPER_DEBUG	false	kuiper.basic.debug
KUIPER_CONSOLE_LOG	false	kuiper.basic.consoleLog
KUIPER_FILE_LOG	true	kuiper.basic.fileLog
KUIPER_PORT	20498	kuiper.basic.port
KUIPER_REST_PORT	9081	kuiper.basic.restPort
KUIPER_PROMETHEUS	false	kuiper.basic.prometheus
KUIPER_PROMETHEUS_PORT	20499	kuiper.basic.prometheusPort

Use the environment variable to configure etc/mqtt_sources.yaml on the Kuiper container.

Options	Default	Mapped
MQTT_BROKER_ADDRESS	tcp://127.0.0.1:1883	default.servers
MQTT_BROKER_SHARED_SUBSCRIPTION	true	default.sharedSubscription
MQTT_BROKER_QOS	1	default.qos
MQTT_BROKER_USERNAME		default.username
MQTT_BROKER_PASSWORD		default.password
MQTT_BROKER_CER_PATH		default.certificationPath
MQTT_BROKER_KEY_PATH		default.privateKeyPath

Use the environment variable to configure etc/sources/edgex.yaml on the Kuiper container.

Options	Default	Mapped
EDGEX_PROTOCOL	tcp	default.protocol
EDGEX_SERVER	localhost	default.server
EDGEX_PORT	5563	default.port
EDGEX_TOPIC	events	default.topic
EDGEX_SERVICE_SERVER	http://localhost:48080	default.serviceServer

All of the environment variable should be set with corresponding values that configured in file cmd/core-data/res/configuration.toml of EdgeX core-data service, as listed in below.

[MessageQueue]
Protocol = 'tcp'
Host = '*'
Port = 5563
Type = 'zero'
Topic = 'events'

[Service]
...
Host = 'localhost'
Port = 48080
...

If you want to configure more options, you can mount the configuration file into Kuiper container, like this:

$ docker run --name kuiper -v /path/to/mqtt_sources.yaml:/kuiper/etc/mqtt_sources.yaml -v /path/to/edgex.yaml:/kuiper/etc/sources/edgex.yaml emqx/kuiper:$tag

More

If you'd like to know more about the project, please refer to Github project.