Commit graph

9 commits

Author SHA1 Message Date
mcilwain
cdadb54acd Refer to Datastore everywhere correctly by its capitalized form
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=147479683
2017-02-17 12:12:12 -05:00
mmuller
b70f57b7c7 Update copyright year on all license headers
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=146111211
2017-02-02 16:27:22 -05:00
jart
734130aa73 Restructure Maven dependencies in build
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

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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=143487929
2017-01-09 11:59:04 -05:00
mcilwain
28f6c770c8 Add MOE equivalence for sync on 2016-12-19
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=142449539
2017-01-09 11:59:04 -05:00
mcilwain
2b7d580bb3 Run buildifier on codebase to format BUILD files
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=140362453
2016-11-28 18:15:21 -05:00
mcilwain
7b9ce8e087 Inject RateLimiter in CloudDnsWriter
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=136055927
2016-10-14 16:58:07 -04:00
shikhman
f76bc70f91 Preserve test logs and test summary output for Kokoro CI runs
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=135494972
2016-10-14 16:57:43 -04:00
cgoldfeder
5098b03af4 DeReference the codebase
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.

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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=131965491
2016-09-02 13:50:20 -04:00
mcilwain
1b3f77a468 Add more tests to external code repo
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=131406104
2016-08-30 14:03:24 -04:00