Also fixed a bug introduced in #1785 where identity checked were performed instead of equality. This resulted in two sets containing the same elements not being regarded as equal and subsequent DNS updated being unnecessarily enqueued.
First, we create a sequence of User IDs in Postgres and assign it to the
User ID field, meaning that Hibernate can autogenerate IDs.
Next, add an update timestamp.
Next, add a constraint that we can't have multiple Users with the same
email address.
Finally, create a DAO since we'll usually want to query by that email
address (at least for now).
* Add the PackagePromotion table
* Add long id
* Add NOT NULL
* fix formatting
* make package price non null
* Add not nulls to java file
* Fix broken tests from merge conflicts
Also deletes the autorenew poll message history revision id field in
Domain, which is only needed to recreate the ofy key for the poll
message. The column already contains null values in it, making it
impossible to depend on it. The column itself will be deleted from the
schema after this PR is deployed.
The logic to update autorenew recurrence end time is changed
accordingly: When a poll message already exists, we simply update the
endtime, but when it no longer exists, i. e. when it's deleted
speculatively after a transfer request, we recreate one using the
history entry id that resulted in its creation (e. g. cancelled or rejected
transfer).
This should fix b/240984498. Though the exact reason for that bug is
still unclear to me. Namely, it throws an NPE at this line during an
explicit domain transfer approval:
https://cs.opensource.google/nomulus/nomulus/+/master:core/src/main/java/google/registry/flows/domain/DomainFlowUtils.java;l=603;bpv=1;bpt=0;drc=ede919d7dcdb7f209b074563b3d449ebee19118a
The domain in question has a null autorenewPollMessageHistoryId, but
that in itself should not have caused an NPE because we are not
operating on the null pointer. On that line the only possible way to
throw an NPE is for the domain itself to be null, but if that were the
case, the NPE would have been thrown at line 599 where we called a
method on the domain object.
Regardless of the cause, with this PR we are using an explicitly
provided history id and checking for its nullness before using it. If a
similar issue arises again, we should have a better idea why.
Lastly, the way poll message id is constructed is largely simplified in
PollMessageExternalKeyConverter as a result of the removal ofy parent
keys in PollMessage. This does present a possibility of failure when
immediately before deployment, a registrar requests a poll message and
received the old id, but by the time the registrar acks the id, the new
version is deployed and therefore does not recognize the old key. The
likelihood of this happening should be slim, and we could have prevented
it by letting the converter recognize both the old and the new key.
However, we would like to eventually phase out the old key, and in
theory a registrar could ack a poll message at any time after it was
requested. So, there is not a safe time by which all the old ids are
acked, lest we develop some elaborate scheme to keep track of which
messages were sent with an old id when requested and which of these old
ids are acked. Only then can we be truly safe to phase out the old id.
The benefit does not seem to warrant the effort. If a registrar does
encounter a situation like this, they could open a support bug to have
us manually ack the poll message for them.
This PR turns out to be more massive than I would have liked but it
deals with all billing event related stuff, which are more or link all
intertwined:
* Remove all billing events as Ofy entities.
* Add a temporary annotation to allow BillingEvent's ID to be
auto-allocated by ofy while not lacking the Ofy @Id annotation.
* Remove Modification, which is only used in ofy.
* Remove BillingVKey, as we do not need to store the ofy key parent
information anymore. The VKey for a billing event now just contain
its primary key, and can be converted by VKeyConverter.
* Remove BigQuery related code in the billing pipeline.
Note that after BillingVKey is removed, several columns in
BillingCancellation are no longer needed. The change to database schema
will be handled in https://github.com/google/nomulus/pull/1721 after
this PR is deployed to production.
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This is, as of now, unused but we can use it for b/237683906 and
b/237800445 in the future to allow for special behavior dictated by
allocation tokens rather than having to reserve specific domains.
Note that we enforce a tied domain for ANCHOR_TENANT tokens (because
they should be matched to a domain) but not for BYPASS_TLD_STATE tokens.
This removes the code that converts between ofy fields and SQL fields in DomainContent and a number of related core classes (basically anything that also needed modification to support the removal from DomainContent).
* Add new columns to BillingEvent.java
* Improve PR and modifyJodaMoneyType to handle null currency in override
* Add test cases for edge cases of nullSafeGet in JodaMoneyType
* Improve assertions
These are useful for the purposes of filtering by one-time/multi-use tokens, and
for determining which one-time tokens have been used (and if so, for which
domain).
* Add 3 more SQL indexes to the Host table
These indexes on creationTime, deletionTime, and currentSponsorRegistrarId are
present on the other two EPP resource tables (Domain and Contact), and are
useful for a wide variety of operations/analytics queries.
The query analyzer identified this is a missing index on the BillingEvent table,
and I added it for recurrences and cancellations as well as it's likely to be a
problem for them too. "Give me all the billing events associated with a given
domain by its repo ID" seems like a pretty common use case for the DB (and does
appear to be used by our invoicing pipeline).
This is a follow-up to PR #1545.
These indexes were identified as missing by PostgreSQL's query analyzer in our
sandbox environment (where we get enough realistic EPP traffic to identify these
deficiencies).
Note that a lot of the new indexes being named have to use the DB representation
of the column name because they are either embedded or subclassed entities,
whereas most of the existing ones are able to simply refer to Java field names.
This is the Java schema follow-up PR to PR #1541, which is what added the
actual DB changes through Flyway scripts.
* Add an index on Host.host_name column
This field is queried during host creation and needs an index to speed
up the query.
Since Hibernate does not explicitly refer to indexes, we can change the
code and schema in one PR.
We can handle it the same way that we handle UpdateAutoTimestamp, where
we simply populate it in SQL if it doesn't exist. This has the following
benefits:
1. The converter is unnecessary code
2. We get non-null column definitions for free (overridden in
EppResource to allow null creation times so that legacy *History objects
can contain null in that field
3. More importantly, this allows us for proper SQL->DS replay. If the
field is filled out using a converter (as before this PR) then the field
is only actually filled out on transaction commit (rather than when the
write occurs within the transaction). This means that when we serialize
the Transaction object during the transaction (the data that gets
replayed to Datastore), we are crucially missing the creation time.
If the creation time is written on commit, we have to start a new
transaction to write the Transaction object, and it's an absolute
necessity that the record of the transaction be included in the
transaction itself so as to avoid situations where the transaction
succeeds but the record fails.
If the field is filled out in a @PrePersist method, crucially that
occurs on the object write itself (before transaction commit).
* Alt entity model for fast JPA bulk query
Defined an alternative JPA entity model that allows fast bulk loading of
multi-level entities, DomainBase and DomainHistory. The idea is to bulk
the base table as well as the child tables separately, and assemble them
into the target entity in memory in a pipeline.
For DomainBase:
- Defined a DomainBaseLite class that models the "Domain" table only.
- Defined a DomainHost class that models the "DomainHost" table
(nsHosts field).
- Exposed ID fields in GracePeriod so that they can be mapped to domains
after being loaded into memory.
For DomainHistory:
- Defined a DomainHistoryLite class that models the "DomainHistory"
table only.
- Defined a DomainHistoryHost class that models its namesake table.
- Exposed ID fields in GracePeriodHistory and DomainDsDataHistory
classes so that they can be mapped to DomainHistory after being
loaded into memory.
In PersistenceModule, provisioned a JpaTransactionManager that uses
the alternative entity model.
Also added a pipeline option that specifies which JpaTransactionManager
to use in a pipeline.
* Add the DNS refresh request time field to the Domain tables
This isn't used yet, but it will eventually be the replacement for the dns-pull
task queue once we get further in the migration.
* Merge branch 'master' into domain-dns-dirty
* Store DatabaseMigrationSchedule in SQL instead of Datastore
This requires messing around with some of the JPA unit test rule
creation since it requires saving / retrieving the schedule pretty much
always (which itself includes the hstore extension).
* Remove KmsSecret model entities
Now that we have been using the SecretManager for almost a month now,
remove the KmsSecret and KmsSecretRevision entities from Java code base.
A follow-up PR will drop the relevant tables in the schema.
Also removed a few unused classes in the beam package.
There is some complication regarding how the
CancellationMatchingBillingEvent of the generated OneTime can be
reconstructed when loading from SQL. I decided to only address it in
testing as there is no real value to fully reconstruct this VKey in
production where we are either in SQL or Ofy mode, both never in both.
Therefore the VKey in a particular mode only needs to contain the
corresponding key in order to function.
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* Safely lazy load claims and reserved lists
This moves the entries of all of these lists into "insignificant" fields and
manages them explicitly.
* Additional fixes
Fix a few problems that came up in the merge or weren't caught in earlier
local test runs.
* Changes for review
- removed debug code
- added comments
- improved some methods that were loading the entire claims list
unnecessarily.
* Fixed javadoc links
* Reformatted
* Minor fix for review
* Make PremiumList.labelsToPrices "insignificant"
Add the ImmutableObject.Insignificant annotation to labelsToPrices and also
mark it as Transient. In order to do lazy-loads on this field, we need to do
so explicitly: doing otherwise breaks the immutability contract and prevents
detaching the object upon load.
Note that this is an expedient solution to this problem, but not the optimal
one. Ideally, the disassociation between PremiumList and its PremiumEntry's
would be more explicit. However, breaking labelsToPrices out would at minimum
require reworking the Create/UpdatePremiumList commands, which currently rely
on passing around a self-contained PremiumList object, both from the parser
interfaces and to the database.
If this approach is acceptable, we can apply it to ReservedList and ClaimsList
as well (though it may be easier to break the association in those cases).
* Fix premium list "delete" to support a test
* Fix a few more tests
* Changes for review (updated javadocs)
* Minor fixes
* Updated getLablesToPrices() comment
* Format fixes, fixed PremiumEntry interfaces
PremiumEntry can now be SQL only.
* Add loadOnlyOf method to tm()
In addition there's a bit of a refator of SqlReplayCheckpoint to make it
more in line with the other singletons. This method is useful for the
singleton classes where we expect at most one entity to exist, e.g.
ServerSecret.
* Combine the two Lock classes into one class
This allows us to remove the DAO and to just treat locks the same as we
would treat any other object -- generically grabbing them from the
transaction manager.
We do not need to be concerned about the changeover between Datastore
and SQL because we assume that any such changeover will require
sufficient downtime that any currently-valid acquired locks will expire
during the downtime. Otherwise, we could get into a situation where an
action has acquired a particular lock in Datastore but not SQL.
* Convert TmchCrl and ServerSecret to cleaner tm() impls
When I implemented this originally I knew a lot less than I know now
about how we'll be storing and retrieving these singletons from SQL. The
optimal way here is to use the single SINGLETON_ID as the primary key,
that way we always know how to create the key that we can use in the
tm() retrieval.
This allows us to use generic tm() methods and to remove the handcrafted
SQL queries.
* Embed a ZonedDateTime as the UpdateAutoTimestamp in SQL
This means we can get rid of the converter and more importantly, means
that reading the object from SQL does not affect the last-read time (the
test added to UpdateAutoTimestampTest failed prior to the production
code change).
For now we keep both time fields in UpdateAutoTimestamp however
post-migration, we can remove the joda-time field if we wish.
Note: I'm not sure why <now> is the time that we started getting
LazyInitializationExceptions in the LegacyHistoryObject and
ReplayExtension tests but we can solve that by just examining /
initializing the object within the transaction.
* Convert more flow tests to replay/compare
Add the replay extension to another batch of flow tests. In the course of
this:
- Refactor out domain deletion code into DatabaseHelper so that it can be used
from multiple tests.
- Make null handling uniform for contact phone numbers.
* Convert postLoad method to onLoad.
* Remove "Test" import missed during rebase
* Deal with persistence of billing cancellations
Deal with the persistence of billing cancellations, which were added in the
master branch since before this PR was initially sent for review.
* Adding forgotten flyway file
* Removed debug variable
Because we don't store serverApproveEntities specifically as a set in
the SQL world, we need to make sure that the entities are all separated
and stored if they exist. For domain transfers, there exist three
separate poll messages (client losing, client gaining, autorenew) so we
need to store and retrieve that one.
Founnd this while converting domain transfer flows to SQL.
* Add unique constraints on domain_hosts
Add unique constraints on DomainHost (child of DomainBase) and
DomainHistoryHost (child of DomainHistory). DomainHost is non-entity
embedded object and Hibernate does not define indexes automatically.
This should improve read and write performance of the parent entities.
* Use PollMessageVKey to replace VKey<PollMessage> in DomainBase
* Revert changes to DomainContent
* Use BillingVKey in GracePeriodBase to restore symmetric vkey
* Rebase on HEAD
* Add an extension to verify transaction replay
Add ReplayExtension, which can be applied to test suites to verify that
transactions committed to datastore can be replayed to SQL.
This introduces a ReplayQueue class, which serves as a stand-in for the
current lack of replay-from-commit-logs. It also includes replay logic in
TransactionInfo which introduces the concept of "entity class weights."
Entity weighting allows us store and delete objects in an order that is
consistent with the direction of foreign key and deferred foreign key
relationships. As a general rule, lower weight classes must have no direct or
indirect non-deferred foreign key relationships on higher weight classes.
It is expected that much of this code will change when the final replay
mechanism is implemented.
* Minor fixes:
- Initialize "requestedByRegistrar" to false (it's non-nullable). [reverted
during rebase: non-nullable was removed in another PR]
- Store test entities (registrar, hosts and contacts) in JPA.
* Make testbed save replay
This changes the replay system to make datastore saves initiated from the
testbed (as opposed to just the tested code) replay when the ReplayExtension
is enabled. This requires modifications to DatastoreHelper and the
AppEngineExtension that the ReplayExtension can plug into.
This changes also has some necessary fixes to objects that are persisted by
the testbed (such as PremiumList).
* Make some columns nullable in History tables
xmlBytes is made nullable in all history tables since changes performed
by backend actions would not have it. In addition, epp requests are not saved to
ContactHistory since data may contain PII.
requestedByRegistrar in all history tables are made nullable. This
property is set from metadata in epp requests. Null means not provided.
* Add schema for GracePeriodHistory
Rebase on HEAD
Rebase on HEAD
Rebase on HEAD and rename column
Use OfyService to generate id
Refactor GracePeriodsSubject
Rebase on HEAD
Remove GracePeriodSubject and GracePeriodsSubject
Rebase on HEAD
Rebase on HEAD
Rebase on HEAD
Add gracePeriodHistoryRevisionId and remove some foreign key
* Rebase on HEAD
* Add SQL replay checkpoint object to Datastore
This will be part of the asynchronous commit-log replay to SQL. Whenever
we successfully export commits up to a particular time, we should
persist that time so we don't replay the same commits again (it is not
idempotent)
* Move SqlReplayCheckpoint from DS to SQL
* Responses to CR
* Persist two singleton entities in SQL tables
A table might not be the best place to store singleton entities, but by
doing this we ensure we can easily inspect them later and use the same
sort of persistence logic for these that we do elsewhere.
ServerSecret is stored upon retrieval so that we make sure that the same
secret is used in both Datastore and SQL (we wouldn't want to change
it).
* Responses to CR
* Don't have a separate ID for the singleton entities
* Rename secret UUID
* Rename and regenerate
* Add a SQL schema and DAO for KmsSecretRevision
The dual-object nature of KmsSecret and KmsSecretRevision will not be
necessary once we have moved to SQL. In that world, the only object will
be the one now called KmsSecretRevision. KmsSecretRevision already
stores its parent so all we need to do is convert that key to the String
secretName (or from the secretName to the key, if loading from SQL) and
select the max revision ID for a given secret name.
In a future PR, we will add a dual-writing DAO to these objects and
perform the dual writes, similar to how ReservedList functions.
* Regenerate diagram
* Rename revisionId and cryptoKeyVersionName
* Fix SQL files and diagram
