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
Make sure that suspended nodes are treated appropriately by the overlay
cache. This means we should expect the following behavior:
* suspended nodes (vetted or not) should not be selected for uploading
new segments
* suspended nodes should be treated by the checker and repairer as
"unhealthy", and should be removed upon successful repair
This commit also removes unused overlay functionality.
Fixes a bug with commit 8b72181a1f where
the audit reporter was automatically suspending nodes regardless of
audit outcome (see test added).
Tests:
* updates repair tests to ensure that a suspended node is treated as
unhealthy and will be removed from the pointer on successful repair
* updates overlay tests for KnownUnreliableOrOffline and KnownReliable
to expect suspended nodes to be considered "unreliable"
* adds satellitedb test that ensures overlay.SelectStorageNodes and
overlay.SelectNewStorageNodes do not include suspended nodes
* adds audit reporter test to ensure that different audit outcomes
result in the correct suspended/disqualified states
Change-Id: I40dba67278c8e8d2ce0bcec5e0a5cb6e4ce2f561
Initial change for checking bucket existence on satellite side for
requests like BeginObject and ListObjects. This is simple implementation
that is just checking bucket in DB but should be improved in future to
avoid DB calls as much as possible.
Part of https://storjlabs.atlassian.net/browse/USR-365
Change-Id: I9076acddc44d7dbfa7612a1c24a007de01621583
* 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
My understanding is that the nodes table has the following fields:
- `address` field which can be a hostname or an IP
- `last_net` field that is the /24 subnet of the IP resolved from the address
This PR does the following:
1) add back the `last_ip` field to the nodes table
2) for uplink operations remove the calls that the satellite makes to `lookupNodeAddress` (which makes the DNS calls to resolve the IP from the hostname) and instead use the data stored in the nodes table `last_ip` field. This means that the IP that the satellite sends to the uplink for the storage nodes could be approx 1 hr stale. In the short term this is fine, next we will be adding changes so that the storage node pushes any IP changes to the satellite in real time.
3) use the address field for repair and audit since we want them to still make DNS calls to confirm the IP is up to date
4) try to reduce confusion about hostname, ip, subnet, and address in the code base
Change-Id: I96ce0d8bb78303f82483d0701bc79544b74057ac
We missed this in the migration that added the num_healthy_pieces
column. It exists in dbx, but not on the actual satellite table.
Change-Id: If16b5ec2325d56406250298531b3285215188bf3
Previously, we were simply discarding rows from the repair queue when
they couldn't be repaired (either because the overlay said too many
nodes were down, or because we failed to download enough pieces).
Now, such segments will be put into the irreparableDB for further
and (hopefully) more focused attention.
This change also better differentiates some error cases from Repair()
for monitoring purposes.
Change-Id: I82a52a6da50c948ddd651048e2a39cb4b1e6df5c
The migration was broken into one migration per table to reduce table locking and reduce the
chances of failure due to SQL timeouts.
Of the 14 fields that lacked time zones, only the 3 named 'interval_start` seemed to have non-UTC data in them.
These fields are fixed in the migration by removing the +00 and adding AT TIME ZONE current_setting('TIMEZONE')
Field with good data are migrated by adding AT TIME ZONE 'UTC'
Note that postgres's timezone() is different than cockroach's timezone() so AT TIME ZONE is used.
https://storjlabs.atlassian.net/browse/SM-104
Change-Id: I410f2f1d7c11b143f17844347f37e6f4b1e70fce
On satellite, remove all references to free_bandwidth column in nodes table.
On storage node, remove references to AllocatedBandwidth and MinimumBandwidth and mark as deprecated.
Protobuf message, NodeCapacity, is left intact for backwards compatibility.
Once this is released to all satellites, we can drop the column from the DB.
Change-Id: I2ff6c6537fc9008a0c5588e951afea58ede85838
these tables are used in future commits with respect to the new
storagenode payments code. if we create them now, it will make
backfilling them with historical data easier.
Change-Id: I3c08c9770ec5b2baa38b4f2fd18c2f07746a61c2
Add a column to the repair queue table in the satellite db for healthy
piece count. When an item is selected from the repair queue, the least
durable segment that has not been attempted in the past hour should be
selected first. This prevents our repairer from getting stuck doing work
on segments that are close to the repair threshold while allowing
segments that are more unhealthy to degrade further.
The migration also clears the repair queue so that the migration runs
quickly and we can properly account for segment health in future repair
work.
We do not select items off the repair queue that have been attempted in
the past six hours. This was changed from on hour to allow us time to
try a wider variety of segments when the repair queue is very large.
Change-Id: Iaf183f1e5fd45cd792a52e3563a3e43a2b9f410b
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
Enhance the documentation of the UseSerialNumber method (interface and
implementation) and add several missing dots in doc comments of the
methods of the same interface and implementation.
Change-Id: I792cd344f0d2542e060fa2ec288b71231cae69de
In the methods we use to retrieve a user's chargeable BW, we were summing GET, GET_AUDIT,
and GET_REPAIR. We only want to charge for GET
Change-Id: Icead7695494b22c7c835482cf8b1512a980d59f1
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
it was noticed that if you had a long lived transaction A that
was blocking some other transaction B and A was being aborted
due to retriable errors, then transaction B was never given
priority. this was due to using savepoints to do lightweight
retries.
this behavior was problematic becaue we had some queries blocked
for over 16 hours, so this commit addresses the issue with two
prongs:
1. bound the amount of time we will retry a transaction
2. create new transactions when a retry is needed
the first ensures that we never wait for 16 hours, and the value
chosen is 10 minutes. that should be long enough for an ample
amount of retries for small queries, and huge queries probably
shouldn't be retried, even if possible: it's more preferrable to
find a way to make them smaller.
the second ensures that even in the case of retries, queries that
are blocked on the aborted transaction gain priority to run.
between those two changes, the maximum stall time due to retries
should be bounded to around 10 minutes.
Change-Id: Icf898501ef505a89738820a3fae2580988f9f5f4
before dbx would generate a compilcated blob of conditions that
encoded a row comparison, which only optimized to an index seek
on cockroachdb. this means that sqlite and postgres both had
quadratic behavior on paged queries of this form. instead, use
the implicit row construction feature supported in all of the
databases to do paged support so that they all optimize well.
Change-Id: Iac8703929ba2a59ee3ffa619b916d12663422887
The old migration was not working. It was updateding pending (status 0)
and failed (status -1) to completed (status 100).
Change-Id: I808ff3cc692fe6c698ce26a8b411b134e67b752b
A uuid.UUID is an array of bytes, and slicing it refers to the
underlying value, much like taking the address. Because range
in Go reuses the same value for every loop iteration, this means
that later iterations would overwrite earlier stored project
ids. We fix that by making a copy of the value before slicing it
for every loop iteration.
Change-Id: Iae3f11138d11a176ce360bd5af2244307c74fdad
Currently storage tests were tied to the default lookup limit.
By increasing the limits, the tests will take longer and sometimes
cause a large number of goroutines to be started.
This change adds configurable lookup limit to all storage backends.
Also remove boltdb.NewShared, since it's not used any more.
Change-Id: I1a052f149da471246fac5745da133c3cfc27582e
Currently Cockroach DB setup takes a significant amount of time.
This flattens the database setup into a single query,
which improves the test time significantly.
The migration tests still test each migration separately.
Change-Id: Iaca16f34a6af3926fa2b5ebf618f939fd59460b3
