without this change when an executor implementation was a final class or had a final method - the application wouldn't start or would produce NPE at startup.
with this change we have a custom bean post processor that wraps an aspect manualy either via a JDK Proxy when a class is final or a method is final or creates a CGLIB proxy if that's possible.
fixes#550
without this change it's pretty much impossible to enforce sampling for certain traces
with this change setting the X-B3-Flags to 1 for HTTP messages / spanFlags to 1 for messaging will override any sampling decisions
fixes#496
without this change Zipkin doesn't properly visualize the span on the server side.
with this change we're setting SA only if peer tag is set.
fixes#481
This supports 128-bit traces via a new field traceIdHigh, which matches
other zipkin implementations. In encoded form, the trace ID is simply
twice as long (32 hex characters).
With this change in, a 128-bit trace propagated will not be downgraded
to 64-bits when sending downstream, reporting to Zipkin or adding to
the logging context.
This will be followed by a change to support initiating 128-bit traces.
This ensures spans that have remote set to true don't send
Span.timestamp/duration.
In the RPC span model, the client owns the timestamp and duration of the
span. If we were propagated an id, we can assume that we shouldn't
report timestamp or duration, rather let the client do that. Worst case
we were propagated an unreported ID and Zipkin backfills timestamp and
duration.
See https://github.com/openzipkin/openzipkin.github.io/issues/49
Now that Endpoint has ipv6, the factory method is even worse than it
was before. This switches to a builder instead.
Note: Endpoint now has a nice toString which should help debugging.
* Use StreamListener for coercing messages from JSON `Span`
Rely on the `contentType` header of the transported message to
tell Spring Cloud Stream how to coerce the message to `Span`.
Formerly, `Span.getAccumulatedMillis()` worked, but could returns
imprecise measurements, particularly local spans. This changes the
internals of Span to keep track of a start tick. Using this, it can
return a more precise `Span.getAccumulatedMicros()`.
To ensure this precision isn't lost in serialization, this adds a
json field `durationMicros`, which is only set when the span is stopped.
This is set instead of start tick because `System.nanoTime()` is JVM
specific and so cannot be used across the network. `durationMicros` uses
null instead of zero comparisons because nano time can be negative.
Fixes#312
Fixed integration tests to use ZipkinRule
Introduce assertj assertions (#315)
* Introduce assertJ assertions in some tests
* Fix code formatting to be inline with Spring rules
This moves to changes made in preparation of zipkin 1.0.
Here are the notables:
* Zipkin has autoconfiguration modules, where maven artifacts have the prefix 'zipkin-autoconfigure-X'
* Zipkin's ui now shares a version with everything else
* Zipkin now namespaces packages and configuration. ex zipkin.storage.X as opposed to zipkin.X
* All autoconfiguration classes are prefixed `Zipkin` to be easier to find
* Zipkin binds components like StorageComponent, as opposed to individual classes like SpanStore.
* Health checks are under the scope "zipkin" and broken down by component
* UI responsiveness is better by conditionally caching names queries for 5 minutes
* New `Collector` class, which makes logging and metrics patterns the same regardless of transport
Removes wiremock as a test dependency in core (which created more
issues than you might expect because Tomcat and Jetty don't treay
HTTP headers in the same way apparently).
Also moves the spring-messaging dependency to where it is needed
in sleuth stream.
This important in so far that it allows us to do metrics. The actual
implementation of stream metrics is something we can work on after 1.0
if there's a time crunch.
Notably, this removes the accidental transient dependency on scala, by
removing the dependency on `zipkin-cassandra-core`. Related classes have
been vendored into `storage-cassandra`.
This also splits out `CollectorSampler` as its own thing and introduces
two options for instrumentation sampling:
* `BoundaryTraceIdSampler` - For high-volume sites, based on Finagle
* `CountingTraceIdSampler` - Trades lower performance for high accuracy
