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Introduction

MQTT Store and Forward allows data to be buffered locally at a client when connections are down to the MQTT Server infrastructure and deliver that data when the connection is restored. This feature is critical in most applications because if we lose connection to the MQTT Server we will lose data if it is not buffered locally. When Store and Forward is enabled and the edge node detects a disconnect to the MQTT Server, tags will be stored locally in a history store. When the edge node can reconnect to the MQTT Server, it will publish any stored tags. The rate at which these stored tags are flushed from the history store is configurable to prevent any delays in the delivery of live data.

Determining the settings for the MQTT Transmission History Store requires understanding the unique system properties at each Edge Node.

These include the number of tags at the Edge Node and Device levels, the frequency at which these tags are changing, the required period for data storage and the RAM or disk based storage available on the Edge hardware.

Review the MQTT Transmission Transmitters and Tag Trees documentation for help in identifying your Edge Node(s) and Device(s).

If using UDTs you should include each member tag of a UDT in your count when determining the number of tags.



MQTT Transmission History Store requires the following parameters:

  • Type
    • The type of History Store with options of In-Memory and Disk-Backed
    • Data stored in a Disk-Backed History Store will persist across a restart/power loss
  • Edge Node Tag Capacity
    • The maximum number of tag change events to store, from tags directly at the edge node level, before dropping the oldest stored tag change event for that edge node.
    • Default 100,000
    • A tag change event is triggered by either a change in value or quality and results in the tag's Qualified Value (which has three attributes of value, quality and timestamp) being stored. 
    • This parameter is independent from the Device Tag Capacity
  • Device Tag Capacity
    • The maximum number of tag change events to store, for each device, before dropping the oldest stored tag change event for that device.
    • Default 10,000
    • A tag change event is triggered by either a change in value or quality and results in the tag's Qualified Value (which has three attributes of value, quality and timestamp) being stored.
    • This parameter is independent from the Edge Node Tag Capacity
  • Flush Quantity
    • The maximum number of tags to publish in a single message upon reestablishing communication.
    • Default 10,000
  • Flush Period
    • The period to wait in milliseconds between publishes when flushing messages upon reestablishing communication.
    • Default 200


How to determine these settings

Testing is the best way to determine your settings for your Edge Gateway(s) and the recommended approach is to:

  • Configure a History Store with large Edge Node Tag Capacity and Device Tag Capacity.
  • Disconnect for a set time period
  • Monitor the live updates for the count of tag change events and memory used from the Transmission Info History Store metrics.

  • Reconnect and monitor the data flushing to ensure that the flush settings (quantity and period) are able to handle the current tag changes that continue to build.

    Whilst the history flush is in progress, all new change events are written to the history store until it has been completely flushed. If the tag change rate at the Edge is faster than the MQTT Transmission Flush Period this can cause a build up of data in history store(s) and prevent the publishing of live data.
  • Extrapolate based on the test


For ease of control we recommend setting a Primary Host ID in both MQTT Engine and in the MQTT Transmission.

Removing the Primary Host ID from MQTT Engine will simulate the primary backend application going offline and cause MQTT Transmission to store data to the History Store.

Restoring the Primary Host ID to MQTT Engine will simulate that the primary backend application is online and cause MQTT Transmission to flush the stored data.


The History Store values used in the video were selected to easily show the process for testing. It would be expected that a much higher Flush Quantity would be required in a live environment to stop a build up of data in history store preventing the publishing of live data.



Additional Resources


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