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I was wondering if you could give a concrete use case for the partition key functionality.
In particular I am interested in how we solve multi line log entries. I think it would be better to solve it by keeping all the data (the multiple lines) together throughout the logging/metrics pipeline, but could see how something like a partition key might help keep the data together as well.
Second question: how large do you see these point messages getting (average and max)? There are still several stages of the logging/metrics pipeline that use UDP with a standard 64K size limit.
On Aug 28, 2015, at 4:54 PM, Benjamin Black <bblack(a)pivotal.io> wrote:
The existing dropsonde protocol uses a different message type for each event type. HttpStart, HttpStop, ContainerMetrics, and so on are all distinct types in the protocol definition. This requires protocol changes to introduce any new event type, making such changes very expensive. We've been working for the past few weeks on an addition to the dropsonde protocol to support easier future extension to new types of events and to make it easier for users to define their own events.
The document linked below  describes a generic data point message capable of carrying multi-dimensional, multi-metric points as sets of name/value pairs. This new message is expected to be added as an additional entry in the existing dropsonde protocol metric type enum. Things are now at a point where we'd like to get feedback from the community before moving forward with implementation.
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