Previous to this change, repositories were looked up unfiltered in six different queries, and then filtered using the permissions model, which issued a query per repository found, making search incredibly slow. Instead, we now lookup a chunk of repositories unfiltered and then filter them via a single query to the database. By layering the filtering on top of the lookup, each as queries, we can minimize the number of queries necessary, without (at the same time) using a super expensive join.
Other changes:
- Remove the 5 page pre-lookup on V1 search and simply return that there is one more page available, until there isn't. While technically not correct, it is much more efficient, and no one should be using pagination with V1 search anyway.
- Remove the lookup for repos without entries in the RAC table. Instead, we now add a new RAC entry when the repository is created for *the day before*, with count 0, so that it is immediately searchable
- Remove lookup of results with a matching namespace; these aren't very relevant anyway, and it overly complicates sorting
Adds code to ensure we never GC CAS paths that are shared amongst multiple ImageStorage rows, as well as an associated pair of tests to catch the positive and negative cases.
By calling `visibility` instead of `visibility_id`, peewee was issuing a SQL Select statement for the repository, which removes the benefit of the optimization
Adds support for full text search in peewee with the creation of two new field types: `FullIndexedCharField` and `FullIndexedTextField`.
Note that this change depends upon https://github.com/zzzeek/sqlalchemy/pull/339
[Delivers #137453279]
[Delivers #137453317]
Fixes namespace validation to use the proper regex for checking length, as well as showing the proper messaging if the entered namespace is invalid
[Delivers #137830461]
Before this change, the queue code would check that none of the fields on the item to be claimed had changed between the time when the item was selected and the item is claimed. While this is a safe approach, it also causes quite a bit of lock contention in MySQL, because InnoDB will take a lock on *any* rows examined by the `where` clause of the `update`, even if they will ultimately thrown out due to other clauses (See: http://dev.mysql.com/doc/refman/5.7/en/innodb-locks-set.html: "A ..., an UPDATE, ... generally set record locks on every index record that is scanned in the processing of the SQL statement. It does not matter whether there are WHERE conditions in the statement that would exclude the row. InnoDB does not remember the exact WHERE condition, but only knows which index ranges were scanned").
As a result, we want to minimize the number of fields accessed in the `where` clause on an update to the QueueItem row. To do so, we introduce a new `state_id` column, which is updated on *every change* to the QueueItem rows with a unique, random value. We can then have the queue item claiming code simply check that the `state_id` column has not changed between the retrieval and claiming steps. This minimizes the number of columns being checked to two (`id` and `state_id`), and thus, should significantly reduce lock contention. Note that we can not (yet) reduce to just a single `state_id` column (which should work in theory), because we need to maintain backwards compatibility with existing items in the QueueItem table, which will be given empty `state_id` values when the migration in this change runs.
Also adds a number of tests for other queue operations that we want to make sure operate correctly following this change.
[Delivers #133632501]
