* Add index for domainRepoId to PollMessage and DomainHistoryHost
* Add flyway fix for Concurrent
* fix gradle.properties
* Modify lockfiles
* Update the release tool and add IF NOT EXISTS
* Test removing transactional lock from deploy script
* Add transactional lock flag to actual flyway commands in script
* Remove flag from info command
* Add configuration for integration test
* Remove use of shouldPublishField from ReservedList
* Remove from tests
* Update test comment
* Fix indentation
* fix test comment
* Fix test
* fix test
* Make shouldPublish column nullable
Add the BsaDomainRefresh table which tracks the refresh actions.
The refresh actions checks for changes in the set of registered and
reserved domains, which are called unblockables to BSA.
Also adds a placeholder getter in the Tld class, so that it can be
mocked/spied in tests. This way more BSA related code can be submitted
before the schema is deployed to prod.
See b/248035435 for more details / reasoning, but basically this will
make it easier if we ever need to restore user actions in the future (or
figure out which user actions went wrong)
The value of the column would be set to START_OF_TIME for new entries.
Every time a row is read, the value is updated to the current time. This
allows concurrent reads to not repeatedly read the same entry that has the
earliest request time, because they would only look for rows that have a value
of process time that is before current time - some padding time.
This basically fulfills the same function that LEASE_PADDING gives us
when using a pull queue, whereas a task would be leased for a certain
time, during which time they would not be leased by anyone else.
See: https://cs.opensource.google/nomulus/nomulus/+/master:core/src/main/java/google/registry/dns/ReadDnsQueueAction.java;l=99?q=readdnsqueue&ss=nomulus%2Fnomulus
We were under the mistaken impression before that there was a reliable
way to, out-of-band, get a GAIA ID for a particular email address.
Unfortunately, that isn't the case (at least, not in a scalable way or
one that support agents could use). As a result, we have to allow null
GAIA IDs in the database.
When we (or the support team) create new users, we will only specify the
email address and not the GAIA ID. Then, when the user logs in for the
first time, we will have the GAIA ID from the provided ID token, and we
can populate it then.
- Create a sequence to generate IDs for the user (this allows us to have
Long ID types so that Hibernate can autogenerate IDs)
- Add an update timestamp column so we can extend BackupGroupRoot
- Add a restriction that there can't be multiple users with the same
email address
* Flyway files for adding allocationToken column to Domain table
* Rename column to current_package_token
* Update er diagram
* Add foreign key to DomainHistory
This deletes LastSqlTransaction and ReplayGap in Datastore, as well as
SqlReplayCheckpoint and TransactionEntity in SQL. These are all related
to replay and are no longer used.
* Remove columns for unused ofy key reconstitution
Remove the columns in Domain, DomainHistory, GracePeriod and
GracePeriodHistory that were only used for Ofy key reconstitution.
All uses of these were removed in #1660.
* Add forgotten flyway file.
* Add a new recurrenceLastExpansion column to the BillingRecurrence table
This will be used to determine which recurrences are in scope for
expansion. Anything that has already been expanded within the past year is
automatically out of scope.
Note that the default value is set to just over a year ago, so that, initially,
everything is in scope for expansion, and then will gradually be winnowed down
over time so that most recurrences at any given point are out of scope. Newly
created recurrings (after the subsequent code change goes in) will have their
last expansion time set to the same as the event time of when the recurring is
written, such that they'll first be considered in-scope precisely one year
later.
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.
* Reorganize new schema changes
Reorganized new schema changes and make each flyway script update a
single table.
Each flyway script is executed in a single database transaction so that
the script can be rolled back in one shot. It acquires a shared lock on
all tables touched by the script. This is deadlock-prone because in a
busy database, there may be user queries that attempt to lock the same
set of tables, but in different order. By limiting each script to one
table, we avoid the problem.
We should have some a presubmit check to enforce this rule.
All changes have been deployed to Sandbox out-of-band. When doing so,
we changed all CREATE INDEX statements to CREATE INDEX IF NOT EXISTS.
Future deployments should be able to proceed normally.
* Revise Host index on inet_addresses
The index on the 'inet_addresses array column should be of gin or gist
type, which index individual array elements. We use gin for now since
host updates are not often, and gin has better accuracy.
Since flyway script V108__... has not been deployed, we edit the file
in place instead of adding a new script.
This will be followed up with a modified query that can take advantage
of the gin index. Until then we don't expect to see performance
improvement.
The suspected bottlenect query in the whois path is:
select * from "Host" where 'non-ip-string' = any(inet_address) and
deletion_time < now();
It needs to be revised into:
select * from "Host" where array['non-ip-string'] <@ inet_address and
deletion_time < now();
The combined change reduces the query time from 90ms to 30ms in Sandbox,
and from 150ms to 40ms in production.
It is unclear if this solves all problem with whois latency.
