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
Make metainfo.RSConfig a valid pflag config value. This allows us to
configure the RSConfig as a string like k/m/o/n-shareSize, which makes
having multiple supported RS schemes easier in the future.
RS-related config values that are no longer needed have been removed
(MinTotalThreshold, MaxTotalThreshold, MaxBufferMem, Verify).
Change-Id: I0178ae467dcf4375c504e7202f31443d627c15e1
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
As part of the Metainfo Refactoring, we need to make the Metainfo Loop
working with both the current PointerDB and the new Metabase. Thus, the
Metainfo Loop should pass to the Observer interface more specific Object
and Segment types instead of pb.Pointer.
After this change, there are still a couple of use cases that require
access to the pb.Pointer (hence we have it as a field in the
metainfo.Segment type):
1. Expired Deletion Service
2. Repair Service
It would require additional refactoring in these two services before we
are able to clean this.
Change-Id: Ib3eb6b7507ed89d5ba745ffbb6b37524ef10ed9f
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
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
We were seeing error on the last day of the month with TestProjectAllocatedBandwidthRetainTwo.
This is due to AddDate normalizes its result in the same way that Date does, so, for example,
adding one month to October 31 yields December 1, the normalized form for November 31."
I also fixed a minor UTC issue with this test as well.
Change-Id: I0157873e7befa57810e5f264a922b188890fa46a
This change accomplishes multiple things:
1. Instead of having a max in flight time, which means
we effectively have a minimum bandwidth for uploads
and downloads, we keep track of what windows have
active requests happening in them.
2. We don't double check when we save the order to see if it
is too old: by then, it's too late. A malicious uplink
could just submit orders outside of the grace window and
receive all the data, but the node would just not commit
it, so the uplink gets free traffic. Because the endpoints
also check for the order being too old, this would be a
very tight race that depends on knowledge of the node system
clock, but best to not have the race exist. Instead, we piggy
back off of the in flight tracking and do the check when
we start to handle the order, and commit at the end.
3. Change the functions that send orders and list unsent
orders to accept a time at which that operation is
happening. This way, in tests, we can pretend we're
listing or sending far into the future after the windows
are available to send, rather than exposing test functions
to modify internal state about the grace period to get
the desired effect. This brings tests closer to actual
usage in production.
4. Change the calculation for if an order is allowed to be
enqueued due to the grace period to just look at the
order creation time, rather than some computation involving
the window it will be in. In this way, you can easily
answer the question of "will this order be accepted?" by
asking "is it older than X?" where X is the grace period.
5. Increases the frequency we check to send up orders to once
every 5 minutes instead of once every hour because we already
have hour-long buffering due to the windows. This decreases
the maximum latency that an order will be reported back to
the satellite by 55 minutes.
Change-Id: Ie08b90d139d45ee89b82347e191a2f8db1b88036
* Add all new orders to the orders filestore instead of the database.
* Submit orders from the filestore to the new satellite SettleWindow
endpoint.
The orders filestore will eventually replace the orders DB completely.
For now, we will still be checking the orders DB and submitting those
orders if they exist. In a later release, we will completely remove the
orders DB, but we need both the DB and filestore for the transitionary
period.
Change-Id: Iac8780fd5ab770296181bbd313e1d335f072d4dc
When investigating a gap in storage usage data in the SN dashboard, I noticed that there were 2 entries in the accounting_rollups table on the date of the gap.
This change accounts for multiple entries in the accounting_rollups table for a given day.
Change-Id: Ibf2b5d0455117cb0417163e8fcfb7e509d594171
This adds a config flag orders.window-endpoint-rollout-phase
that can take on the values phase1, phase2 or phase3.
In phase1, the current orders endpoint continues to work as
usual, and the windowed orders endpoint uses the same backend
as the current one (but also does a bit extra).
In phase2, the current orders endpoint is disabled and the
windowed orders endpoint continues to use the same backend.
In phase3, the current orders endpoint is still disabled and
the windowed orders endpoint uses the new backend that requires
much less database traffic and state.
The intention is to deploy in phase1, roll out code to nodes
to have them use the windowed endpoint, switch to phase2, wait
a couple days for all existing orders to expire, then switch
to phase3.
Additionally, it fixes a bug where a node could submit a bunch
of orders and rack up charges for a bucket.
Change-Id: Ifdc10e09ae1645159cbec7ace687dcb2d594c76d
Removes old project_bandwidth_rollups records that are no longer used.
Uses a retain months configuration to determine how many months to save. Current month cannot be removed.
Tests retainMonths=-1, 0, 2
Change-Id: Ia4be2546cdb28802427acf41ecd85ad66df3e62c
also remove the continuation support from the queue, otherwise
we may end up sequential scanning the entire table to get
a few rows at the end.
then, in the core, instead of looping both to get a big enough
batch inside of the queue, as well as outside of it to ensure
we consume the whole queue, just get a single batch at a time.
also, make the queue size configurable because we'll need to
do some tuning in production.
Change-Id: If1a997c6012898056ace89366a847c4cb141a025
Replace most of old libuplink usages in testplanet. 100% migration will
be possible when we will be able to implement UploadWithClientConfig
with new libuplink.
Change-Id: I432d7d4917c7b67d46a058abd0a2a6a13f565ac4
until we do a good job of cleaning them up, we should at least
not charge or pay people for them. nodes already locally delete
expired segments.
subsumes the tests in 1112.
Change-Id: I5961185764e02f6136b3231b44ecc75a9a8832c9
by doing an indexed anti-join we're able to reduce the time to
select the pending orders by over 10x on postgres. this should
help us process pending orders much more quickly.
it probably won't do as good a job on cockroach because it does
not do an indexed anti-join and instead does a hash join after
scanning the entire consumed serials table. we should either
remove orders entirely or try to make that more efficient
when necessary.
Change-Id: I8ca0535acd21c51e74955b24c9b86d20e4f2ff9c
* change overlay.UpdateStats to allow a third audit outcome. Now it can
handle successful, failed, and unknown audits.
* when "unknown audit reputation"
(unknownAuditAlpha/(unknownAuditAlpha+unknownAuditBeta)) falls below the
DQ threshold, put node into suspension.
* when unknown audit reputation goes above the DQ threshold, remove node
from suspension.
* record unknown audits from audit reporter.
* add basic tests around unknown audits and suspension.
Change-Id: I125f06f3af52e8a29ba48dc19361821a9ff1daa1
The billing tests were flaky because some assertions ran before the
storage nodes finish their work.
A new helper function in testplanet has been added to allow to wait for
storage nodes endpoints to finish their work. This function now it's
used in the billing tests for avoiding their flakiness.
This commit closes the ticket:
https://storjlabs.atlassian.net/browse/SM-403
A part of fixing other billing tests flakiness.
Change-Id: Iacb750af435f515c04b1e1d3510a218d184c9abc
Add a test for checking that the billing:
* it doesn't include upload traffic
* it includes download traffic
Change-Id: I1655c15c1fad642f77dd210f2014b2586ae10104
Remove the check around consuming an expired serial so that we
have more time to run the migration. It does open a small race
of double spends for entries already counted and then added to
the pending queue right around when they're going to expire and
the consumed serials have already been removed, but that should
be rare if we keep the pending queue empty.
Change-Id: I000b15979b09c67751281ff675ea6c81fc9d22dc
This change adds two new tables to process orders as fast as we used
to but in an asynchronous manner and with hopefully less storage
usage. This should help scale on cockroach, but limits us to one
worker. It lays the groundwork for the order processing pipeline to
be queue rather than database driven.
For more details, see the added fast billing changes blueprint.
It also fixes the orders db so that all the timestamps that are
passed to columns that do not contain a time zone are converted to
UTC at the last possible opportunity, making it less likely to use
the APIs incorrectly. We really should migrate to include timezones
on all of our timestamp columns.
Change-Id: Ibfda8e7a3d5972b7798fb61b31ff56419c64ea35
at the end of tally iteration, in order to set the new live
accounting totals, we were iterating over all live accounting
projects. We found a bug with this when running storj-sim. If
we restarted the satellite live accounting would be cleared
because storj-sim was running the live accounting redis instance.
Since live accounting was cleared, at the end of tally, even if
it found data in projects, we would not update the live accounting
totals because we were iterating over the projects from live
accounting to do so. We now iterate over projects found from tally
in order to update live accounting
We also found that if a user deleted everything from their project,
tally would not find it and the live accounting would not be updated.
For this reason, we merge live accounting projects into tally projects
Change-Id: If0726ba0c7b692d69f42c5806e6c0f47eecccb73
if redis crashed in the middle of tally we could have a situation
where we erroneously subtract from a project total. Currently,
`latest` should never be less than `initial`
Change-Id: Ibb5ab724ac0ad4d684f7954fad7a9e061104b7df
Sometimes the upload that is supposed to fail due to excess usage
would pass. This looks to be because it's overwriting another object
uploaded earlier in the test and deleting the old pointer. If tally
happened to run after the pointer is deleted but before the current
upload reaches the live accounting check, it might pass through.
The solution is to upload to a different path each time.
Change-Id: Ie6c825b9c6eab9ed53426ae262e7997bcb6beb7f
this commit updates our monkit dependency to the v3 version where
it outputs in an influx style. this makes discovery much easier
as many tools are built to look at it this way.
graphite and rothko will suffer some due to no longer being a tree
based on dots. hopefully time will exist to update rothko to
index based on the new metric format.
it adds an influx output for the statreceiver so that we can
write to influxdb v1 or v2 directly.
Change-Id: Iae9f9494a6d29cfbd1f932a5e71a891b490415ff
warning: databases migrated to version 77 before this commit
is merged must be manually re-migrated. this should not be a
problem for anything but staging databases.
Change-Id: Ie1631c48379472352014183ee43f1465e22200f7
live accounting used to be a cache to store writes before they are picked up during
the tally iteration, after which the cache is cleared. This created a window in which
users could potentially exceed the storage limit. This PR refactors live accounting to
hold current estimations of space used per project. This should also reduce DB load
since we no longer need to query the satellite DB when checking space used for limiting.
The mechanism by which the new live accounting system works is as follows:
During the upload of any segment, the size of that segment is added to its respective
project total in live accounting. At the beginning of the tally iteration we record
the current values in live accounting as `initialLiveTotals`. At the end of the tally
iteration we again record the current totals in live accounting as `latestLiveTotals`.
The metainfo loop observer in tally allows us to get the project totals from what it
observed in metainfo DB which are stored in `tallyProjectTotals`. However, for any
particular segment uploaded during the metainfo loop, the observer may or may not
have seen it. Thus, we take half of the difference between `latestLiveTotals` and
`initialLiveTotals`, and add that to the total that was found during tally and set that
as the new live accounting total.
Initially, live accounting was storing the total stored amount across all nodes rather than
the segment size, which is inconsistent with how we record amounts stored in the project
accounting DB, so we have refactored live accounting to record segment size
Change-Id: Ie48bfdef453428fcdc180b2d781a69d58fd927fb
this commit introduces the reported_serials table. its purpose is
to allow for blind writes into it as nodes report in so that we have
minimal contention. in order to continue to accurately account for
used bandwidth, though, we cannot immediately add the settled amount.
if we did, we would have to give up on blind writes.
the table's primary key is structured precisely so that we can quickly
find expired orders and so that we maximally benefit from rocksdb
path prefix compression. we do this by rounding the expires at time
forward to the next day, effectively giving us storagenode petnames
for free. and since there's no secondary index or foreign key
constraints, this design should use significantly less space than
the current used_serials table while also reducing contention.
after inserting the orders into the table, we have a chore that
periodically consumes all of the expired orders in it and inserts
them into the existing rollups tables. this is as if we changed
the nodes to report as the order expired rather than as soon as
possible, so the belief in correctness of the refactor is higher.
since we are able to process large batches of orders (typically
a day's worth), we can use the code to maximally batch inserts into
the rollup tables to make inserts as friendly as possible to
cockroach.
Change-Id: I25d609ca2679b8331979184f16c6d46d4f74c1a6
Remove starting up messages from peers. We expect all of them to start,
if they don't, then they should return an error why they don't start.
The only informative message is when a service is disabled.
When doing initial database setup then each migration step isn't
informative, hence print only a single line with the final version.
Also use shorter log scopes.
Change-Id: Ic8b61411df2eeae2a36d600a0c2fbc97a84a5b93
In satellite/accounting/rollup Service.RollupStorage we have a few
potential error scenarios that return time.Now(). Especially in the case
where we exit early because we have received 0 tallies since the *last*
rollup, this creates a potential race condition.
Between the time we call GetTalliesSince and realize it is empty, it's
possible a tally was inserted in that interval. As currently written we
are returning a latestTally time that excludes that tally.
We are currently protected because in Service.Rollup we don't save the
rollup unless we have populated the rollupStats. However, this change is
more correct and future-proof, because Service.RollupStorage should
always return a correct latestTally time, which in case of errors and
empty tallies, is the last successful tally.
Change-Id: I2521a2cc9802c8f06e512dde4422803a272e2a0a
* set up redis support in live accounting
* move live.Service interface into accounting package and rename to Cache, pass into satellite
* refactor Cache to store one int64 total, add IncrBy method to redis client implementation
* add monkit tracing to live accounting
