When we observed the value for total piecesizes stored in the network,
we were doing it after converting them to byte-hours, rather than using
the actual piece sizes. This fixes that issue.
Change-Id: I1564d21b519f70eb59f298d97dbd777baf127723
Add ProjectsCursor type for pagination
Add PageCount, CurrentPage, and TotalCount ProjectsPage
This allows us to mimic the logic of GetBucketTotals and the
implementation of BucketUsages in graphql for the new ProjectsByOwnerID
functionality.
Change-Id: I4e1613859085db65971b44fcacd9813d9ddad8eb
Full scope:
private/testplanet,satellite/{overlay,satellitedb}
Description:
In most cases, downtime tracking with audits will eventually lead
to DQ for nodes who are unresponsive. However, if a stray node has no
pieces, it will not be audited and will thus never be disqualified.
This chore will check for nodes who have not successfully been contacted
in some set time and DQ them.
There are some new flags for toggling DQ of stray nodes and the timeframes
for running the chore and how long nodes can go without contact.
Change-Id: Ic9d41fdbf214736798925e728245180fb3c55615
This is the first step in the removal of uptime columns on the
nodes table. These columns are no longer used:
uptime_success_count
total_uptime_count
uptime_reputation_alpha
uptime_reputation_beta
In order to avoid breaking backwards compatibility, we need to
remove all references to these columns before removing the columns
themselves from the database. However, since uptime_success_count
and total_uptime_count are NOT NULLABLE, we can't remove them from
the insert statements in the overlay. So we can't remove the columns
because of the references, and we can't remove the references because
the columns can't be null. What a pickle. To remedy this, we will set a
default on the columns. Then we should be able to remove them from the
insert statements
Change-Id: I75f6c56fb7897835bbf29869f86f39de1d9dd345
GetSuccessfulNodeNotCheckedInSince and GetOfflineNodesLimited are overlay methods
which were only used by the previous downtime tracking system which has been removed.
These methods should also be removed.
Change-Id: Idb829d742e1f987e095604423fff656fe581183e
* Separate audit history interface into its own file in the overlay
package
* Add overlay.AuditHistory struct so that internalpb.AuditHistory is
only used from within the database layer
* Add overlay.GetAuditHistory function for features that will require
access to detailed audit history information
* Do not return full audit history from UpdateAuditHistory - callers to
that function only need to know the online score and whether a full
tracking period has been completed
* Move audit history tests out of satellite/satellitedb, since they are
independent of database implementation
Change-Id: I35b0c4ac23bbaabd80624f8a9631c3cb1a1f33bd
Now that the deprecated downtime tracking service is removed
(3fc76f4ffe), we can safely remove
the nodes_offline_times table.
Change-Id: Ia7c6efe32ba104dff5a830af5f2beee3337eefe5
Nodes which are offline_suspended will no longer be considered for new
uploads. The current threshold that enters a node into offline
suspension is 0.6. Disqualification for offline suspension is still
disabled.
Change-Id: I0da9abf47167dd5bf6bb21e0bc2186e003e38d1a
Query nodes table using AS OF SYSTEM TIME '-10s' (by default) when on CRDB to alleviate contention on the nodes table and minimize CRDB retries. Queries for standard uploads are already cached, and node lookups for graceful exit uploads has retry logic so it isn't necessary for the nodes returned to be current.
We migrated satelliteDB off of Postgres and over to CockroachDB (crdb), but there was way too high contention for the injuredsegments table so we had to rollback to Postgres for the repair queue. A couple things contributed to this problem:
1) crdb doesn't support `FOR UPDATE SKIP LOCKED`
2) the original crdb Select query was doing 2 full table scans and not using any indexes
3) the SLC Satellite (where we were doing the migration) was running 48 repair worker processes, each of which run up to 5 goroutines which all are trying to select out of the repair queue and this was causing a ton of contention.
The changes in this PR should help to reduce that contention and improve performance on CRDB.
The changes include:
1) Use an update/set query instead of select/update to capitalize on the new `UPDATE` implicit row locking ability in CRDB.
- Details: As of CRDB v20.2.2, there is implicit row locking with update/set queries (contention reduction and performance gains are described in this blog post: https://www.cockroachlabs.com/blog/when-and-why-to-use-select-for-update-in-cockroachdb/).
2) Remove the `ORDER BY` clause since this was causing a full table scan and also prevented the use of the row locking capability.
- While long term it is very important to `ORDER BY segment_health`, the change here is only suppose to be a temporary bandaid to get us migrated over to CRDB quickly. Since segment_health has been set to infinity for some time now (re: https://review.dev.storj.io/c/storj/storj/+/3224), it seems like it might be ok to continue not making use of this for the short term. However, long term this needs to be fixed with a redesign of the repair workers, possible in the trusted delegated repair design (https://review.dev.storj.io/c/storj/storj/+/2602) or something similar to what is recommended here on how to implement a queue on CRDB https://dev.to/ajwerner/quick-and-easy-exactly-once-distributed-work-queues-using-serializable-transactions-jdp, or migrate to rabbit MQ priority queue or something similar..
This PRs improved query uses the index to avoid full scans and also locks the row its going to update and CRDB retries for us if there are any lock errors.
Change-Id: Id29faad2186627872fbeb0f31536c4f55f860f23
We need to be able to list all buckets in DB without knowing project ID.
This method will be used to list buckets for metainfo loop
implementation based on metabase.
Change-Id: Iac75af0eee4f31e80a15577575a8249cbca787b2
We are no longer planning on implementing downtime penalization using
the method described in
docs/blueprints/archive/storage-node-downtime-tracking-deprecated.md.
Now, we are implementing the design described in
docs/blueprints/storage-node-downtime-tracking-with-audits.md.
This change removes the downtime estimation chores from the satellite
core as well as the package satellite/downtime. A future change will
remove the database table.
Change-Id: I1a1d3cf9dceeba36255d25243294865b89925518
Which database access and how it internally does migrations is an
implementation detail and does not belong in the requirements interface.
Change-Id: Ia4a6994f39470063a96a8e5f3a1bd27aa79fe5cd
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
