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
Since incoming times may be in any time zone, and we want the output
to be in UTC and for them to have 00:00:00 hours, minutes and seconds
we first convert the incoming timestamp to UTC before doing the
truncate to the day and adding a day.
Because the old code always returned a timestamp that was in the
future, this is just for efficiency.
Change-Id: Ie692d47bca8691e73852c822d5c56cf8773d99b4
Limits how many times metainfo APIs can be called per second by project ID. If limit is exceeded, the API will return Unauthorized/Too Many requests.
Limit per second and the size of the limiter cache per project are configurable, as well as whether the limiter is enabled.
Tests added/updated for the new rate_limit field in projects table.
Tests added for exceeding limits and disableing limiter.
Change-Id: Ic8ad102de3b690a475809d4f684156d5715f20fa
Replace all the remaining uses of sql.DB with tagsql.DB to
fix issues with context cancellation.
Introduce tagsql.Open which helps to get rid of all tagsql.Wrap-s.
Use tagsql in cockroachkv and postgreskv.
Change-Id: I8946d203341cb85a25976896fc7881e1f704e779
Also added temporary types withRebind and withTagTx,
which will be later removed. Currently they help to avoid
changing the whole codebase at the same time.
Change-Id: I7f07ba8f4709a23a463bfa67464628665a05808f
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
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
