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Release Notes - Kuiper 0.1

eKuiper Team
Jan 3, 2020
Release Notes - Kuiper 0.1

The Kuiper team would like to announce the release of Kuiper 0.1.

Kuiper 0.1 now is available for download.

EMQX 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 SparkApache 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. Kuiper architect

This release includes several new features and bug fixes.

Website: https://github.com/lf-edge/ekuiper

Github Repository: https://github.com/emqx/kuiper



  • Optimized performance
    • Provides configuration for setting concurrency for Kuiper rule, so it can be optimized in different scenarios
      • concurrency setting in source: How many instances will be started. By default, only an instance will be run. If more than one instance is specified, the topic must be a shared subscription topic.
      • concurrency settings in sink: Specify how many instances of the sink will be run. If the value is bigger than 1, the order of the messages may not be retained.
      • concurrency settings in SQL plans: A rule is processed by several phases of plans according to the SQL statement. This option will specify how many instances will be run for each plan. If the value is bigger than 1, the order of the messages may not be retained.
  • Performance test result
    • Raspberry Pi 3B+: 12k messages/second; CPU utilization (sys+user): 70%; Memory: 20M
    • AWS t2.micro( 1 Core * 1 GB, Ubuntu18.04): 10k messages/second; CPU utilization (sys+user): 25%; Memory: 20M
  • Support metrics collection for rules, which can be used for message processing status tracking. The metrics includes,
    • in, out, exception message count for all operators
    • process_latency_ms for all operators
    • buffer_length, the used buffer length for all operators
    • last_invocation, the last invocation timestamp for all operators
  • Tested in OpenWrt Linux (Chaos Calmer 15.05) with 1core CPU * 256M memory, and it works fine.
  • Support re-connect to MQTT broker if MQTT source or sink is disconnected.

Bug fixes

  • Print error message in cli command if any error is found during starting a rule.
  • Fixed several issues in rest sink.


If having any problems for Kuiper, feel free to contact us through contact@emqx.io

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