User can now configure message headers to be added using
spring.sleuth.keys.message.headers.
Fixes gh-119
Also a bunch of cosmetic changes (imports etc).
Previously, sleuth logged more data than necessary. This led to issues
including spans approaching megabytes each. This pares down default keys
to a minimal set, but allows users to opt-into logging more by extending
`TraceFilter`.
- Changed Random instantiation to a shared Random
- Changed the name of the converter
- Changed generator into random
- Span id is now non-nullable.
- it gets generated in the http filter if it's not there
- it's generated in the spring-integration channels if it wasn't set
Brave's span collector, which turned out to not be a great tool for
direct use. Brave internally creates spans before sending to its
collector, so validation is implicit. The flip side of this is using the
collector directly does not validate spans. This means it is easy to
send invalid ones, for example missing span names. The problem is more
difficult as the data is in binary (thrift).
This introduces HttpZipkinSpanReporter, which validates via zipkin-java
classes before sending on the wire. Moreover, this sends in json to make
debugging problems easier.
This does not fully remove the Brave dependency, as further work is
needed. Particularly, Brave is indirectly referenced in other code.
See https://github.com/openzipkin/zipkin-java/issues/68
See #98 (Reporter is an OpenTracing term)
It's not really necessary to use rabbit, but the existing tests
weren't really using the stream components at all because
zipkin spans were being collected by spring-cloud-sleuth-zipkin.
Zipkin 0.4.1 obviates some duplication of configuration. It is also the
first version that's published as a docker image.
By switching to the published image of zipkin-java, we can be more
consistent, as `spring-cloud-sleuth-zipkin-stream` is derived from that,
not the scala query service.
