* Reduce the number of manually scaled instances for default/pubapi
This is in the spirit of "not always running significantly over-provisioned",
which helps to save costs and also expose potential scaling issues when they are
still small rather than all at once when they're a big problem.
This can always be reverted if necessary, and can be instantaneously adjusted by
running the `nomulus set_num_instances` command.
* Don't enforce billing account map check on TEST TLDs
This was affecting monitoring (i.e. prober TLDs). Note that test TLDs are
already excluded from the billing account map check in the Registrar builder()
method (see PR #1601), but we forgot to make that same test TLD exclusion in the
EPP flows check (see PR #1605).
* Add test for Java 8 Compatibility
Add a test to check for Java 8 compatibility of jars deployed to
AppEngine.
It is not enough to run existing tests with Java 8 VM, since many API
jars are not exercised by tests. For example, those for GCP services
like the SecretManager.
We take the conservative approach and verify that every class in every
jar are compiled for Java 8.
We would like to re-use the build cache when building RCs for different
environments. There's not much practical use in doing a "clean" for
every build when Gradle should be able to figure out which artifacts
need to be rebuilt. It also does not make sense to build each
environment in a separate step, which also introduces redunency because
not all artifacts are cached across steps. The build cache is enabled by
default.
Lastly, the cache needs to be inside the /workspace folder, which is the
default persisted storage location.
TESTED=tried to build the RCs on alpha and saved about 10 min.
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* Add missing transaction for whois lookups
Nameserver whois lookups are failing under SQL for hosts with superordinate
domains because the query in this case is not done in a transaction. We
missed this during testing because a) we didn't have a test for lookups of
hosts with superordinate domains and b) we missed converting
NameserverWhoisResponseTest to a DualDatabaseTest.
This PR fixes the problem and adds the requisite testing.
* Use a single transaction to get host registrars
* Replace streaming with Maps.toMap()
* Downgrade dependencies that no longer support Java8
Downgrade two dependencies whose latest versions no longer support
java8.
A follow up PR will add java8 compatibility to presubmit tests.
We have recently started to routinely breach the 1h timeout. Increasing
this value to 2h. We should also look into reusing the artifacts when
building RCs for different environments.
* Use Gradle dependency dynamic versioning
Use dynamic versioning for Gradle dependencies when possible.
Please refer to go/dr-dependency-upgrade for more information about the
automation plan.
This PR calls out all dependencies that must be pinned to specific
versions for various reasons. The remaining ones are converted to
open-ended version ranges ("[version_str,)").
* Check PAK on domain create
* Add unit test
* update docs
* Remove unneccesary setup
* Fix blank line
* Add check and test to all relevant flows
* Change error message
* Ignore version UIDs during txn deserialization
When deserializing transactions for replay to datastore, ignore class version
UIDs that don't match those of the local classes and just use the local class
descriptors instead. This is a simple solution for the problem of persisted
VKeys containing references to classes where the class has been updated and
the serial version UID has changed.
Also add a "replay_txns" command that replays the transactions from a given
start point so we can verify all transactions are deserializable.
TESTED:
Ran replay_txns against all transactions on sandbox beginning with
transaction id 1828385, which includes Recurring billing events containing
both the old and the new serial version UIDs.
* Change check for root directory during rollback
`rollback_tool` tries to infer the root of the nomulus tree by checking for a
directory named "nomulus". This is potentially problematic (and, indeed, was
for me) since there is no guarantee what that directory will be named.
There are a number of features that characterize the root directory. Check
for the presence of the `rollback_tool` wrapper script, as this is both at
root level and tightly coupled to the python code, so hopefully we won't
move it without testing that the script still works.
This will require edits to a substantial number of registrars on sandbox (nearly
all of them) because almost all of them have access to at least one TLD, but
almost none of them have any billing accounts set. Until this is set, any updates
to the existing registrars that aren't adding the billing accounts will cause
failures.
Unfortunately, there wasn't any less invasive foolproof way to implement this
change, and we already had one attempt to implement it on create registrar
command that wasn't working (because allowed TLDs tend not to be added on
initial registrar creation, but rather, afterwards as an update).
* Downgrade Caffeine to 2.9.3
Apparently Caffeine >=3.* requires Java 11, and we're still stuck on Java 8
because of App Engine Standard. Fortunately this doesn't affect the exposed
interface we're using, so we can simply go back to the newest Caffeine version
once Registry 3.0 Phase 3 (GKE migration) is completed.
Now that SQL is the default, we do not need this side job to run
alongside the main one. Its purpose was to validate the BEAM pipeline
while Datastore was primary.
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* Create a Dataflow pipeline to resave EPP resources
This has two modes.
If `fast` is false, then we will just load all EPP resources, project them to the current time, and save them.
If `fast` is true, we will attempt to intelligently load and save only resources that we expect to have changes applied when we project them to the current time. This means resources with pending transfers that have expired, domains with expired grace periods, and non-deleted domains that have expired (we expect that they autorenewed).
For some inexplicable reason, the RDE beam pipeline in both sandbox and
production has been broken for the past week or so. Our investigations
revealed that during the CoGropuByKey stage, some repo ID -> revision ID
pairs were duplicated. This may be a problem with the Dataflow runtime
which somehow introduced the duplicate during reshuffling.
This PR attempts to fix the symptom only by deduping the revision IDs. We
will do some more investigation and possibly follow up with the Dataflow
team if we determine it is an upstream issue.
TESTED=deployed the pipeline and successfully run sandbox RDE with it.
* Begin migration from Guava Cache to Caffeine
Caffeine is apparently strictly superior to the older Guava Cache (and is even
recommended in lieu of Guava Cache on Guava Cache's own documentation).
This adds the relevant dependencies and switch over just a single call site to
use the new Caffeine cache. It also implements a new pattern, asynchronously
refreshing the cache value starting from half of our configuration time. For
frequently accessed entities this will allow us to NEVER block on a load, as it
will be asynchronously refreshed in the background long before it ever expires
synchronously during a read operation.
* 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
* Remove dos.xml from the configs
We don't have dos config right now, and applying dos from "gcloud app
deploy" is deprecated and has started causing problems.
If we add dos configs, it should be using "gcloud app firewall-rules".
* Build Java8-compatible release
Use the new options.release Gradle property to make sure builds are
compatible with Java 8, which is the runtime on Appengine.
This new property replaces sourceCompatibility, targetCompatibility, and
bootclasspath (wasn't previously set, which is the reason why we
couldn't detect Java9 api usage when building).
* Ignore read-only when saving commit logs
Ignore read-only when saving commit logs and commit log mutations so that we
can safely replicate in read-only mode. This should be safe, as we only ever
to the situation of saving commit logs and mutations when something has
already actually been modified in a transaction, meaning that we should have hit
the "read only" sentinel already.
This also introduces the ability to set the Clock in the
TransactionManagerFactory so that we can test this functionality.
* Changes per review
* Fix issues affecting tests
- Restore clobbered async phase in testNoInMigrationState_doesNothing
- Restore system clock to TransactionManagerFactory to avoid affecting other
tests.
* Change billingIdentifier to BillingAccountMap in invoicing pipeline
* Add a default for billing account map
* Throw error on missing PAK
* Add unit test
Check for a PSQLException referencing a failed connection to "google:5433",
which likely indicates that there is another nomulus tool instance running.
It's worth giving this hint because in cases like this it's not at all obvious
that the other instance of nomulus is problematic.
* Add a no-async actions DB migration phase
This needs to be set several hours prior to entering the READONLY stage. This is
not a read-only stage; all synchronous actions under Datastore (such as domain
creates) will continue to succeed. The only thing that will fail is host
deletes, host renames, and contact deletes, as these three actions require a
mapreduce to run before they are complete, and we don't want mapreduces hanging
around and executing during what is supposed to be a short duration READONLY
period.
* Use UrlFetch for RDE and default TLS (1.2) for other URL connections
This removes the TLS 1.3-settings in the module providers and,
essentially, reverts the changes in #1535 only to the RdeReporter and
RdeReportActionTest
We have a cron job that runs the RDE upload action every 4 hours for all
TLD. Normally this should be a no-op beacuse a RDE upload is scheduled
after RDE staging is completed, and when it fails with non-2XX status it
will retry. However if for some reason it failed due to 20X status (like
waiting for the SFTP cursor), it will not retry but rely on the cron job to
catch up.
With the BEAM RDE pipeline every staging job saves all its deposits in a
uniquely named folder to avoid the need to use a lock, which is not
practical in BEAM. However the cron job has no way of knowing what the
prefixes are for each TLD so it will fail in SQL mode.
In this PR we implemented a logic to guess what the prefix should be and
use it, if we are in SQL mode and a prefix is not provided.
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* Set the initial worker count for the RDE beam pipeline at 24
This likely will speed up the pipeline by skipping the initially slow
process of spinning up instances.
* Fix sporadic SQL Snapshot failure
The Postgresql set-snapshot statement (called in
JpaTransactionManager.setDatabaseSnapshot() method) must be the first
statement in the SQL transaction.
Currenty the JpaTransaction.transact() method may insert a query for
DatabaseMigrationStateSchedule before the user query when the cache is
empty or the cached value expires.
This PR proactively preloads the cache in RegistryJpaIO to prevent cache
loading inside the transaction.
This PR also changes some DatabaseSnapshotTest tests to be retrying, in
case they run just after the cache expires. (This has happened before in
CI).
The format check script currently outputs "true" if there were files that need
reformatting and "false" if not, which is useful for gradle but less so for
other applications (notably commit hooks). Terminate with an exit code of 1
if the format check fails.
TESTED: Tried this from both a pre-commit hook and from the gradle build.
* Add a "list_txns" to dump Transaction table
Add the list_txns command which can dump the entire contents of the
Transaction table, either in csv format or as human readable transactions.
The CSV format is useful for storing the transaction table at a specific point
in time for later reference without requiring us to repeatedly hit the
replica.
Creating this without tests because this command has a very short shelf-life
and is really only intended to be run by developers. Tested all features
locally.
* Reformatted
* Ignore trivial differences when comparing DB
Some data difference are due to entity model differences and also
harmless. We should igore them when comparing Datastore and SQL.
This PR ignores the following diffs:
- null vs empty collection
- the empty string in Address.stree field, which is a list
