* Generate string to uniquely identify a SqlEntity
Add a method to SqlEntity that returns a string built from the entity's
primary key(s). This string can be used in logging.
* Add the domain DNS refresh request time field to the DB schema
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.
* Remove index
* 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).
This performs a direct load-by-key (the most efficient Datastore operation),
rather than attempting to load all entities by type using an ancestor query. The
existing implementation is possibly more error-prone as well, and might be
responsible for the "cross-group transaction need to be explicitly specified"
error we're seeing.
* Remove PremiumList from Datastore schema
* Remove commented out code
* Change lastUpdateTime to creationTimestamp
* Remove extra file
* Remove currency unit from input data to parse
* Revert extra file
* Check currency in parse
* Create all PremiumEntries before saving them in bulk
* small fixes
* Fix merge conflict
There was a subtle issue that we encountered in sandbox when using one
transaction per file that was difficult to replicate. Basically,
1. Save a domain with dsData
2. Save the domain without dsData
3. Save the domain with the same dsData as step 1
4. Delete literally any object
If one performs steps 2-4 in the same transaction, Hibernate will throw
an exception (cascade re-saving a cascade-deleted object). Note that
step 4 is in fact necessary to reproduce the issue, yay Hibernate.
We will test this and if one transaction per transaction is too slow,
we'll figure out ways to reduce the number of SQL transactions.
After the migration to the new GCS API it becomes apparent that the
BlobId.of() method needs to take the bucket name (without any trailing
directories) as the first argument. I did a search on all occurrences of
"BlobId.of" in the code base and verified that it is only in the ICANN
reporting job that the API was misused.
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This PR re-implements most of the logic in the RdeStagingReducer, with
the exception of the last enqueue operations, due to the fact that the
task queue API is not available outside of App Engine SDK. This part
will come in a separate PR.
Another deviation from the reducer is that we forwent the lock -- it is
difficult do it across different beam transforms. Instead we write each
report to a different folder according to its unique beam job name. When
enqueueing the publish tasks we will then pass the folder prefix as a
URL parameter.
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This is instead of the current configuration parameter.
In addition, this adds some helpers to DatabaseHelper to make the
transitions easier, since we more frequently need to alter + reset the
schedule.
If we use the transaction manager methods, JpaTransactionManagerImpl
will attempt to detach the EppResource in question that we're loading --
this fails because that entity has been saved in the same transaction
already. We don't need detaching during these methods (it's just for
resource population) so we can use the raw loads to get around it.
* 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.
* Fix runtime issues with commit-log-to-SQL replay
- We now use a more intelligent prefix to narrow the listObjects search
space in GCS. Otherwise, we're returning >30k objects which can take
roughly 50 seconds. This results in a listObjects time of 1-3 seconds.
- We now search hour by hour to efficiently make use of the prefixing.
Basically, we keep searching for new files until we hit the current time
or until we hit the overall replay timeout.
- Dry-run only prints out the first hour's worth of files
* Fix hanging threads in GcsDiffFileLister
Basically, whenever we request threads using the request thread factory,
we must be on the request thread itself. Dagger doesn't guarantee this
for us if we provide the ExecutorService directly in the action (or in
the GcsDiffFileLister), but we can gurantee that we're on the request
thread itself by simply injecting a Lazy, so that the executor is
instantiated inside the request itself.
In addition, add a timeout on the futures just in case.
* Use the DatabaseMigrationSchedule to determine which TM to use
We still allow the "manual" specification of a particular transaction
manager, most useful in @DualDatabaseTest classes. If that isn't
specified, we examine the migration schedule to see which to return.
Notes:
- This requires that any test that sets the migration schedule clean up
after itself so that it won't affect future test runs of other classes
(because the migration schedule cache is static)
- One alternative would, instead of having a "test override" for the
transaction manager, be to examine the registry environment and only
override the transaction manager in the UNIT_TEST environment. This
doesn't work because there are many instances in which tests simulate
non-test environment.
The API provided by the GAE SDK will not be available outside GAE
runtime. This presents a problem when we migrate off of GAE. More
pressingly, the RDE pipeline migration to Beam requires that we write to
GCS on GCE. Previously we were able to sidestep the issue by delegating
the writes to FileIO provided by Beam, which knows how to write to GCS.
However the RDE pipeline cannot use FileIO directly as it needs to write
to multiple files in one go and explicit use of GCS API is needed.
An unfortunate side effect of the API migration is that the new testing
library contains a bug which makes serializing GcsUtils impossible. It
is fixed upstream but not released yet. The fix has been backported for
the time being.
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* Restore commit logs from other project
Allow non-production projects to restore commit logs from another
project. This feature can be used to duplicate a realistic testing
environment.
An optional parameter is added that can override the default commit log
location.
Tested successfully in QA.
* Remove old DomainList fields from Registry
I also resaved all Registry objects in sandbox and production to make sure that the new field is populated on all entity objects.
* small fixes
* Some more small fixes
* Delete commented out code
* Remove existence check in tests
* Ensure VKey is actually serializable
Tighten field type so that non-serializable object cannot be set as
sqlKey.
This would make it easier to make EppResource entities Serializable in
the future.
* Set payload response in happy path of ReplayCommitLogsToSqlAction
I suspect this may be the reason the logs are missing on the happy path (when it
runs successfully), but are visible on the exception paths (which do set the
payload response). I don't think App Engine likes it when a Web request
terminates without a response.
This also adds more logging and error handling.
This is the first part of the RdeStagingAction SQL migration where the
mapper logic is implemented in Beam.
A few helper methods are added to convert the DomainContent, HostBase
and ContactBase to their respective terminal child classes. This is
necessary and possible because the child classes do not have extra
fields and the base classes exist only to be embedded to other entities
(such as the various HistoryEntry entities). The conversion is necessary
because most of our code expects the terminal classes, such as the
RdeMarshaller's various marshallXXX() methods. The alternative would be
to change all the call sites, which seems to be much more disruptive.
Unfortunately there is is no good way to do this conversion than just
creating a builder and setting every fields there is.
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* Support testing SQL -> DS replication in ReplayExt
Support testing of Postgres -> Datastore replication in the ReplayExtension
when running in SQL mode in a DualDatabaseTest.
This is currently only enabled for one test (HostInfoFlowTest) since this form
of replication is likely to be problematic in many cases.
As part of this change:
- Add a thread-local flag so that we don't attempt to do certain data
transformations when serializing entities for storage in a Transaction
record. (These typically need to be called in a datastore transaction).
- Replace tm() in datastore translators with ofyTm() (these should only be
called from within an ofy transaction) and also in the replay system itself.
- Add a transactWithoutBackup() method for use within the replay itself.
- Prevent replication of entities that are not intended to be replicated.
- Make some of the ReplicateToDatastoreAction methods public so we can invoke
them from ReplayExtension.
- Change the way that the test type is stored in the extension context in a
DualDatabaseTest so that we can check for it from the ReplayExtension.
* Limit number of tests and show output
Trying to debug why these are failing in kokoro.
* Move HostInfoFlowTest to fragile for now
The test now manipulates a globel variable that causes problems for other
tests. There's likely a better fix for this, but for purposes of this PR we
can just move it to "fragile."
* Fix a few more problems
- "replay" flag should have been initialized to false -- as it stands,
replay wasn't happening.
- disable "always save with backup" in the datastore helper, we were
apparently getting some unwanted commit log entries that were causing
timestamp inversions in other tests. Also clear out the replay queue
just for good hygiene.
- Check for a null replicator in replayToOfy before proceeding.
- Use a local inOfyContext flag to track whether we're in ofy context, as
the tm() function is less reliable in dual-database tests.
* Set HistoryEntry modification time in FlowModule
Rather than having to set it individually to now (the current transaction time)
in every transactional flow, just do it once at the beginning when the
HistoryEntry.Builder is first being provided. This is also safer, as just doing
it in one place gives us stronger guarantees that it always corresponds to the
execution time of the flow, rather than leaving the potential open that in one
flow it's unintentionally set to the wrong thing.
