Most of these are easy "replace X with Y."
The CreateStartScripts changes were because the scripts were being included in
the output zip/tar multiple times. The was because they were all using the same
output directory, and the entire output directory was being included for each.
The output directory tmp/ was particularly poor because other tasks were
dumping things into it, so our zip/tar was including those junk files as well.
- Use gradle configuration `api` for dependencies that are part of grpc public api signatures.
- Replace deprecated gradle configurations `compile`, `testCompile`, `runtime` and `testRuntime`.
- With minimal change in dependencies: If we need dep X and Y to compile our code, and if X transitively depends on Y, then our build would still pass even if we only include X as `compile`/`implementation` dependency for our project. Ideally we should include both X and Y explicitly as `implementation` dependency for our project, but in this PR we don't add the missing Y if it is previously missing.
Examples and android projects were left unchanged. They can be changed
later.
No plugin versions were changed, to make this as non-functional of a
change as possible. Upgrading Gradle to 5.6 was necessary for
pluginManagement in settings.gradle.
This PR adds an automatic gradle format checker and reformats all the *.gradle files. After this, new changes to *.gradle files will fail to build if not in good format, just like checkStyle failure.
This moves away from the global String-based Span name registry which
is not as flexible as we desire.
Also renamed the option name to be more accurate. This is not
API-breaking because the origianl addition to MethodDescriptor and
code-gen didn't make it into the 1.7.0 release.
This is a more favorable approach than #3467. Doing the registration
in MethodDescriptor should allow us to deregister in case the
generated stub and its MethodDescriptors are garbage-collected
routinely, e.g., if they are loaded by a separate ClassLoader.
GrpcServerRule configures an in-process server and channel. It is
useful for asserting requests being made to a service. A consumer can
create a mock implementation of their service that records each
request, then make assertions on those records in their test.
Eric Anderson
ZHANG Dapeng
jbingham-google
zpencer
Kun Zhang
Joey Bratton