It was previously only using the name of the inner command XML element,
e.g. "Create", "Delete", "Update", etc. This wasn't very useful because
there was no way to discriminate between operations on different types
of EPP resources.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=151131491
This CL adds Truth framework subjects to some metrics in the Stackdriver metrics library, in a contrib subpackage. It doesn't deal with gauge metrics, and for event metrics, the assertions can only be that a metric has or does not have a distribution for a particular set of label values. Asserting more fine-grained propositions regarding the distribution will require a distribution subject.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=149112692
Downstream users who use gRPC rather than REST don't want to pull down
rest-related dependencies.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=145834701
This is the final preparatory step necessary in order to load and load
configuration from YAML in a static context and then provide it either via
Dagger (using ConfigModule) or through RegistryConfig's existing static
functions.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=143819983
We're now using java_import_external instead of maven_jar. This allows
us to specify the relationships between jars, thereby allowing us to
eliminate scores of vendor BUILD files that did nothing but re-export
@foo//jar targets, thus addressing the concerns of djhworld on Hacker
News: https://news.ycombinator.com/item?id=12738072
We now have redundant failover mirrors, which is a feature I added to
Bazel 0.4.2 in ed7ced0018
A new standard naming convention is now being used for all Maven repos.
Those names are calculated from the group_artifact name using the
following algorithm that eliminates redundancy:
https://gist.github.com/jart/41bfd977b913c2301627162f1c038e55
The JSR330 dep has been removed from java targets if they also depend
on Dagger, since Dagger always exports JSR330.
Annotation processor dependencies should now be leaner and meaner, by
more appropriately managing what needs to be on the classpath at
runtime. This should trim down the production jar by >1MB. As it stands
currently in the open source world:
- backend_jar_deploy.jar: 50MB
- frontend_jar_deploy.jar: 30MB
- tools_jar_deploy.jar: 45MB
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=143487929
By moving []s into the batch package, which is not included in the frontend service, we pave the way to remove the dependency of frontend on the [] library.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=142265351
HostResource and DomainApplication are not transferable, (or at
least, not directly in the case of hosts) and have no need for
the TransferData field. In a flat-flow world, we can push it down
to where it's actually used.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=139201423
This allows separate Bazel projects to reference Nomulus as an external
repository. They can then copy the []
directory structure into their own project and customize the Action
and Module lists for the GAE modules in their own deployment.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=136863886
The Stackdriver API requires that the end time always be greater than the start
time for cumulative metric points.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=134396192
The default is to support GET, which doesn't work with cron fanout which only
uses POST.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=134284855
Specifically:
- remove @RequestScope from EppMetric since it's only for components
- fix to call the better overload of toBigqueryTimestamp
- use the same UUID provider for BigQueryMetricsEnqueuer that already exists for
the VerifyEntityIntegrityStreamer
- minor cleanup in VerifyEntityIntegrityStreamer (inject projectId vs whole env)
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132721794
Getting rid of builder boilerplate makes my heart sing. Since we can no
longer @Inject the Builder() constructor, this change adds a provider
in WhiteboxModule that calls a special builderForRequest() factory method,
which gets passed a request ID and Clock and preserves the existing
EppMetric magic that sets the start and end time for you.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132714432
The latter is the canonical way to call it; the former is not available in
public Guava (and is just a pass-through to fromNullable anyway).
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132441956
This DistributionFitter is suitable for tracking the latency of network calls.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132400538
This change refactors EppMetrics from the mutable self-exporting thing that it
was into a real value type EppMetric, and delegates exporting functionality to the
BigQueryMetricsEnqueuer.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132387660
This is one of a series of CLs adding a new metric type, EventMetric, which
is used for tracking numerical distributions.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132103552
This change replaces all Ref objects in the code with Key objects. These are
stored in datastore as the same object (raw datastore keys), so this is not
a model change.
Our best practices doc says to use Keys not Refs because:
* The .get() method obscures what's actually going on
- Much harder to visually audit the code for datastore loads
- Hard to distinguish Ref<T> get()'s from Optional get()'s and Supplier get()'s
* Implicit ofy().load() offers much less control
- Antipattern for ultimate goal of making Ofy injectable
- Can't control cache use or batch loading without making ofy() explicit anyway
* Serialization behavior is surprising and could be quite dangerous/incorrect
- Can lead to serialization errors. If it actually worked "as intended",
it would lead to a Ref<> on a serialized object being replaced upon
deserialization with a stale copy of the old value, which could potentially
break all kinds of transactional expectations
* Having both Ref<T> and Key<T> introduces extra boilerplate everywhere
- E.g. helper methods all need to have Ref and Key overloads, or you need to
call .key() to get the Key<T> for every Ref<T> you want to pass in
- Creating a Ref<T> is more cumbersome, since it doesn't have all the create()
overloads that Key<T> has, only create(Key<T>) and create(Entity) - no way to
create directly from kind+ID/name, raw Key, websafe key string, etc.
(Note that Refs are treated specially by Objectify's @Load method and Keys are not;
we don't use that feature, but it is the one advantage Refs have over Keys.)
The direct impetus for this change is that I am trying to audit our use of memcache,
and the implicit .get() calls to datastore were making that very hard.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=131965491
This is one of a series of CLs which will refactor EppMetrics into a value type
and Metrics into a stateless class which will have an export(EppMetrics requestDetails)
method to export EPP metrics in a stateless way. Once EppMetrics is a value
type, I will create a new StackdriverEppMetrics that will also accept the value
type via an incrementRequests(EppMetrics requestDetails), allowing us to
monitor EPP via BigQuery and Stackdriver with minimum code duplication.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=131711810
The major changes are using the ExpectedException rule instead of a try/catch
pattern, asserting the message for thrown exceptions, defaulting to JUnit4
unless Mockito is really necessary, and making each test examine one behavior.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=131211346
Currently, it's forbidden for custom metrics to write to the gae_app resource
type.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=131076789
This CL also adds IncrementableMetric#reset() methods to allow resetting the
value and start timestamp of IncrementableMetrics.
This is necessary because some backends, like Stackdriver, use non-monotonic
changes in cumulative metric values to detect timeseries restarts. Tracking and
re-setting the start timestamp allows users to track mostly monotonic metrics
which may have non-monotonic discontinuities.
See https://cloud.google.com/monitoring/api/ref_v3/rest/v3/TimeSeries#Point for
more details.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=130795229
This change enforces that IncrementableMetrics should only monotonically
increase in value, and adds a new increment() method to increment by one, which is slightly faster than incrementBy (due to a lack of non-negative checking) in the common case that the counter should only be incremented by one.
-------------
Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=130578421
