51Degrees Pipeline Documentation  4.1

Usage Sharing


Some of the services offered by 51Degrees benefit from evidence (optionally) being sent back to 51Degrees' data processing system from live installations of the Pipeline. We use this evidence to ensure that our data is up-to-date, comprehensive and continues to provide accurate results.


To minimize any overhead of this feature, received requests are grouped and sent in batches, rather than sending each request individually.

Usage sharing is designed such that any failure within it should not impact the result of the Pipeline. If a failure does occur then usage sharing will simply be disabled and an appropriate warning logged.

In languages that support multiple threading, Usage sharing will typically use a producer/consumer model, where the 'main' thread adds the evidence to a queue while a background thread takes items from this queue, transforms them into the appropriate format, adds them into a message and sends the message when ready. This is done to avoid blocking the Pipeline process thread.

Repeated Evidence

To avoid situations where the same evidence is sent multiple times (for example, a single user visiting multiple pages on a web site), we keep track of the evidence that has been shared over a defined time period (maximum 20 minutes by default) and only share evidence which is different to any already shared during the window.

Note that the amount of evidence tracked is also constrained based upon available memory. In high-traffic scenarios, this may mean that the time period covered by the evidence in the tracker is much smaller than the configured maximum.


The usage sharing feature is provided by a flow element that is added to the Pipeline. Certain pipeline builders will do this automatically. For example, the device detection pipeline builder will add the usage sharing element by default. This can be disabled using the SetShareUsage method on the builder.

There are also several configuration options when building a usage sharing element. These can be used to control what is shared and how it is collected:

Evidence Shared

The usage sharing element will not be interested in all evidence in the flow data. These are the rules for whether or not a particular piece of evidence is shared:

  • Any evidence named 'header.<name>', if <name> is not on a configured blacklist.
  • Any evidence named 'query.<name>', if <name> is on a configured whitelist.
  • Any evidence named 'cookie.<name>' is ignored, unless <name> starts with '51D_'
  • Any other evidence is shared if it is not on a configured blacklist.

The various blacklists and whitelists can be configured using the share usage element builder.

Share Percentage

Usage sharing can be configured to only share a certain percentage of requests that pass through the Pipeline. This can be useful in very high-traffic scenarios where usage sharing is desired, but sharing every request could put too much strain on the web server.

This is based on a randomized value, so the exact amount shared may not be precisely the percentage specified. For example, if generating a number between 0 and 1, the result will be above 0.5 roughly 50% of the time but it's unlikely to be exact.


There may be one or multiple configurable timeouts depending on the language. Typically, these are used to suspend usage sharing if its internal mechanisms are responding too slowly.

Maximum Queue Size

In languages that support multiple threads, this settings controls the size of the internal producer/consumer queue".

Minimum Entries per Message

The minimum number of evidence entries that must be added before the message will be sent to the usage sharing web service.

Repeat Evidence Interval

The maximum time period which evidence is stored for the purpose of filtering repeat evidence.