these are unchanged from storj.io/dbx.
we're importing them because in a later commit we
will change them, and it'd be nice to see that
diff as a separate commit.
Change-Id: I8315130ed6bab397bd65b9a1a90c29d130b8c02d
this change tries really hard to never have all of the storage node
rollups in memory at the same time, up until the rollups are actually
getting summed together.
Change-Id: If67f49e7d71106798d996a6850b3e48671bd9e18
the immediate need is to be able to move the repair queue back out
of cockroach if we can't save it.
Change-Id: If26001a4e6804f6bb8713b4aee7e4fd6254dc326
CRDB doesn't like large deletes. While testing in the POC environment we found that deletes on the serial_numbers table could take hours. This change limits deletes to 1000 at a time (configurable) to avoid blocking other queries.
Change-Id: I08455e25db1574579dd4d7b7125a08e9c913dff1
With the new phase 3 order submission, orders can be added to the
storage and bandwidth rollup tables at timestamps before the most recent
rollup was run. This change shifts the start time of each new rollup
window to account for any unexpired orders that might have been added
since the previous rollup.
A satellitedb migration is necessary to allow upserts in the
accounting_rollups table when entries with identical node_ids and
start_times are inserted.
Change-Id: Ib3022081f4d6be60cfec8430b45867ad3c01da63
We plan to add support for a new Reed-Solomon scheme soon, but our
repair queue orders segments by least number of healthy pieces first.
With a second RS scheme, fewer healthy pieces will not necessarily
correlate to lower health.
This change just adds the new column in a migration. A separate change
will add the new health function.
Right now, since we only support one RS scheme, behavior will not
change. Number of healthy pieces is being inserted as "segment health"
until the new health function is merged.
Segment health is calculated with a new priority function created in
commit 3e5640359. In order to use the function, a new config value is
added, called NodeFailureRate, representing the approximate probability
of any individual node going down in the duration of one checker run.
Change-Id: I51c4202203faf52528d923befbe886dbf86d02f2
It turns out we need to make 2 more changes in order for the new order submission phase 3 to get deployed.
This PR makes 2 changes:
1) when the rollup service deletes tallies, we now keep tallies around until orders expire (vs 1 day like before).
2) the reported rollup chore will now write the storagenode_bandwidth_rollups to a new table _phase2 as an intermediary step so it doesn't conflict with phase 3 order settlement.
These changes need to be deployed for 2 days before we can turn on phase 3 of the new orders settlement workflow.
Change-Id: Iafbff577ba7d55f8f17b7db857311b2ce799de60
With the new overlay.AuditOutcome type for offline audits, the
IsUp field is redundant. If AuditOutcome != AuditOffline, then
the node is online.
In addition to removing the field itself, other changes needed
to be made regarding the relationship between 'uptime' and 'audits'.
Previously, uptime and audit outcome were completely separated. For
example, it was possible to update a node's stats to give it a
successful/failed/unknown audit while simultaneously indicating that
the node was offline by setting IsUp to false. This is no longer possible
under this changeset. Some test which did this have been changed slightly
in order to pass.
Also add new benchmarks for UpdateStats and BatchUpdateStats with different
audit outcomes.
Change-Id: I998892d615850b1f138dc62f9b050f720ea0926b
- Remove flag for switching off offline audit reporting.
- Change the overlay method used from UpdateUptime to BatchUpdateStats, as this
is where the new online scoring is done.
- Add a new overlay.AuditOutcome type: AuditOffline. Since we now use the same
method to record offline audits as success, failure, and unknown, we need to
distinguish offline audits from the rest.
Change-Id: Iadcfe10cf13466fa1a1c2dc542db8994a6423355
This fixes a slow query that was taking up to 4 seconds in production
SELECT node_id, path, piece_num, root_piece_id, durability_ratio, queued_at, requested_at, last_failed_at, last_failed_code, failed_count, finished_at, order_limit_send_count
FROM graceful_exit_transfer_queue
WHERE node_id = '[redacted]'
AND finished_at is NULL
AND last_failed_at is NULL
ORDER BY durability_ratio asc, queued_at asc LIMIT 300 OFFSET 0;
Change-Id: Ib89743ca35f1d8d0a1456b20fa08c683ebdc1549
Use tagsql.DB pointer as step database, to propagate changes
back and forth between actual database and migration.
Adds CreateDB operation to the migration step to be able to
create new dbs before executing migration action.
Adjusts storagenode database migration to use inner tagsql.DB
pointer of each database as step.DB.
Adjusts satellite dabase migration, adds proxy migrationDB field
to satellite db that wraps itself as tagsql.DB, pointer of which
is used as step.DB.
Change-Id: Ifed4de5b01a356cf7b37db64d2eaeb7b61982c5c
This change completes the column migration of
5f6fccc6e8 and
2f648fd981.
It resets every users project limits who are below or equal to our
current production defaults.
Change-Id: Ie041d08bb67b62844f6023190fc00bc2dad5b1cb
Doing it at the ProcessOrders level was insufficient: the endpoints
make multiple database calls. It was a misguided attempt to only
have one spot enter the semaphore. By putting it in the endpoint
we can not only be sure that the concurrency is correctly limited
but it can be configurable easily.
Change-Id: I937149dd077adf9eb87fce52a1a17dc0afe96f64
we have thundering herds of order submissions that take all of the
database connections causing temporary periodic outages. limit
the amount of concurrent order processing to 2.
Change-Id: If3f86cdbd21085a4414c2ff17d9ef6d8839a6c2b
Previously if a node did not have audit history data for each of the
windows over the tracking period, we would give them the benefit of
the doubt and set their score to 1. This was to prevent nodes from
being suspended right out the gate. We need a minimum amount of data
to evaluate them.
However, a node who is actually failing at being online will have no
idea until they have received enough audits and we suspend them.
Instead, we will always use their real score, but use a flag to determine
whether they are eligible for suspension/dq.
Change-Id: I382218f12e8770f95d4bcddcf101ef348940cadf
Repair workers prioritize the most unhealthy segments. This has the consequence that when we
finally begin to reach the end of the queue, a good portion of the remaining segments are
healthy again as their nodes have come back online. This makes it appear that there are more
injured segments than there actually are.
solution:
Any time the checker observes an injured segment it inserts it into the repair queue or
updates it if it already exists. Therefore, we can determine which segments are no longer
injured if they were not inserted or updated by the last checker iteration. To do this we
add a new column to the injured segments table, updated_at, which is set to the current time
when a segment is inserted or updated. At the end of the checker iteration, we can delete any
items where updated_at < checker start.
Change-Id: I76a98487a4a845fab2fbc677638a732a95057a94
Currently Cockroach migration test is the most heavy with regards to
schema changes. This causes other tests to time out. This adds an
alternate cockroach instance that is used for migration tests.
Change-Id: I01fe9313527ff002f0bb0914dd52c3645b8eaf6d
This PR adds the following items:
1) an in-memory read-only cache thats stores project limit info for projectIDs
This cache is stored in-memory since this is expected to be a small amount of data. In this implementation we are only storing in the cache projects that have been accessed. Currently for the largest Satellite (eu-west) there is about 4500 total projects. So storing the storage limit (int64) and the bandwidth limit (int64), this would end up being about 200kb (including the 32 byte project ID) if all 4500 projectIDs were in the cache. So this all fits in memory for the time being. At some point it may not as usage grows, but that seems years out.
The cache is a read only cache. When requests come in to upload/download a file, we will read from the cache what the current limits are for that project. If the cache does not contain the projectID, it will get the info from the database (satellitedb project table), then add it to the cache.
The only time the values in the cache are modified is when either a) the project ID is not in the cache, or b) the item in the cache has expired (default 10mins), then the data gets refreshed out of the database. This occurs by default every 10 mins. This means that if we update the usage limits in the database, that change might not show up in the cache for 10 mins which mean it will not be reflected to limit end users uploading/downloading files for that time period..
Change-Id: I3fd7056cf963676009834fcbcf9c4a0922ca4a8f
Our current endpoints bail on us, if the column data is null. Thus we need
to take the intermediate step and set the default to a fixed value and
reset those with the following release.
It sets the default column value to our current config values of 50GB
for storage and bandwidth and 100 buckets, while still enabling the field to be nullable.
All 0 values are migrated to be the default as well to ensure they can
keep using their projects, as with the original change, 0 actually means 0.
Change-Id: I797be80ce2d2105091599dc1b3fc76f74336b66b
Currently we have no way to actually set one
of the following limits to 0 (meaning not usable):
- maxBuckets
- usageLimit
- bandwidthLimit
With having the field nullable,
NULL corresponds to the global default,
0 now actually 0 and
a set value determines a custom limit.
Change-Id: I92bb77529dcbd0881ae8368921be9d246eb0919e
Another change which is a part of refactoring to replace path parameter
(string/[]byte) with key paramter (metabase.SegmentKey)
Change-Id: I617878442442e5d59bbe5c995f913c3c93c16928
Additionally, this PR changes NewNodeFraction devDefault and testplanet config from 0.05 to 1.
This is because many tests relied on selecting nodes that were reputable based on audit and uptime
counts of 0, in effect, selecting new nodes as reputable ones.
However, since reputation is now indicated by a vetted_at db field that is explicitly set
rather than implied by audit and uptime counts, it would be more complicated to try to
update all of the nodes' reputations before selecting nodes for tests.
Now we just allow all test nodes to be new if needed.
Change-Id: Ib9531be77408662315b948fd029cee925ed2ca1d
metabaseSegmentKey` TransferQueueItem
We are unifying which name (and type) we are using for value we are
using to point to segment. We want to use `key` instead of `path`.
Dedicated type `metabase.SegmentKey` was created for this purposes also.
This change is doing refactoring around gracefulexit.
Change-Id: I90d51ff087b206179e61d5f1bc95f4709d76f917
Add online score used for the new audit history offline tracking system
to the nodes table. This allows us easy access to the node's online
score for the storagenode dashboard as well as for data analysis.
Change-Id: Ie99be1192e5236862a5b3dbed2e5ef03b9169410
When a node's audit history "online score" passes below a configured
threshold, the node goes into "offline suspension" mode and begins a
review period, where the operator is given an opportunity to bring their
node back online.
After the review period passes, offline suspension is turned off for the
node.
In the future, if a node still has a bad online score at the end of the
review period, it will be disqualified. This is disabled right now.
In the future, if a node is in offline suspension, it will be treated as
"unhealthy". Right now, there are no consequences for being in offline
suspension.
Minor changes:
* Moves AuditHistoryConfig out of UpdateStats/BatchUpdateStats args and
into UpdateRequest.
* Adds "now" argument to UpdateStats/BatchUpdateStats args for easy
testing.
* Changes formatting strings inside buildUpdateStatement to use specific
types.
Change-Id: I032b60298840fc16e6ef831da750f2d57619a397
Jenkins has been failing a lot lately due to test timeouts with CockroachDB.
TestMigrateCockroach previously took around 5 minutes, now it takes 2.
Why 103? I couldn't get 100 to work due to an error w/ NOT NULL and PKs.
Change-Id: Iec95d4e25f9d6cd36920e7f43272c486a17fa879
