Right now, DomainApplicationCreateFlow checks to make sure that the registration period is in years, but doesn't store it in the DomainApplication explicitly. Instead, when DomainAllocateFlow runs later, it goes back to the XML in the HistoryEntry to get the number of years. Corey suggests that it would be cleaner to store the number of years in the DomainApplication. This is stage one of a data migration; we store the value, but don't actually read it anywhere except in tests. If we have any outstanding domain applications, we will then need to write a scrap tool to populate the years field, after which we can start relying on the field.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=137317739
It is important to get at least this one commit in before the public Nomulus
release so that none of our public users will have to go through this data
migration (although we will have to).
The migration strategy is as follows:
1. Dual-write to non-ReferenceUnion fields in addition to the current
ReferenceUnion fields in use, and add new indexes (this commit). Deploy.
2. Run the ResaveAllEppResourcesAction backfill [].
3. Switch all code over to using the new fields. Dual-write is still in effect,
except it is now copying over the values of the new fields to the old
fields. Switch over all BigQuery reporting scripts to use the new
fields. Deploy.
4. Remove all of the old code and indexes. Deploy.
5. (Optional, at our leisure) Re-run the ResaveAllEppResourcesAction backfill
[] to delete the old obsolete fields.
Note that this migration strategy is rollback-safe at every step -- new data is
not read until it has already been written out in the previous step, and old
data is not removed immediately following a step in which it was still being
read, so the previous step is safe to roll back to.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=136196988
This is to better distinguish between an LRP "token" (the string passed along in EPP) and the datastore entity that contains the token and all metadata.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=135943480
The reason field is 1:1 mapped to skus in billing reports. Need to add a new reason for EAP for this type of billing event for reporting to work correctly. Also map that reason to the correct SKU.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=134005364
When EAP is involed we current have one billing event for domain create that
has the create fee and EAP fee lumped together. Change it to record two
separate billing events for each.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132335349
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
Adds the ability to search for entities (contacts and registrars) by name.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=130305930
Also had to add an EnumParameter class to support
List<T extends Enum<T>>, as these aren't natively supported by
JCommander (although single Enum parameters are.)
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=129464699
This is one of several CLs in a sequence for allowing per-TLD DNS
implementations.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=129445641
The dark lord Gosling designed the Java package naming system so that
ownership flows from the DNS system. Since we own the domain name
registry.google, it seems only appropriate that we should use
google.registry as our package name.
This change renames directories in preparation for the great package
rename. The repository is now in a broken state because the code
itself hasn't been updated. However this should ensure that git
correctly preserves history for each file.
2016-05-13 18:55:08 -04:00
Renamed from javatests/com/google/domain/registry/model/schema.txt (Browse further)
