To avoid including multiple months in a single invoice, we need all
inspector's invoice commands to run in for specific period.
See https://storjlabs.atlassian.net/browse/USR-725
Change-Id: I3637dc189234f02350daca8d897c21765762ea55
This reverts commit 105dc7acc6.
Reason for revert: Recent changes to the Postgres query plan seems to want to use this index now. Reverting until we have time to analyze what's happening.
Change-Id: I74b4b5a8f15c3850d8a958a29f51dbc80e7c282c
The goal of this change is to improve the storagenode_storage_tallies table by removing the unneeded id column that is not being used but only taking up space, and also to add an index on a different column that needs it. Removing and adding a column seems simple, but ended up being more complicated because of some cockroachdb limitations.
The cockroachdb limitation when trying to remove a column from a table and create a new primary key are:
1. only allows primary key creation at table creation time (docs: https://www.cockroachlabs.com/docs/stable/primary-key.html)
2. table drop or rename is performed async and cannot be done in a transaction (issue: https://github.com/cockroachdb/cockroach/issues/12123, https://github.com/cockroachdb/cockroach/issues/22868)
To address these differences between cockroachdb and Postgres, this PR performs different migrations for the two database. The Postgres migration is straight forward and what you would expect, but the cockroach migration has two main changes:
1. To change a primary key, use the recommended process from the cockroachdb docs to create a new table with the new primary key you want and then migrate the data.
2. In order to do 1, we needed to do the new table renaming in a separate transaction from the data migration.
Ref: SM-65
Change-Id: Idc9aee3ab57aa4d5570e3d2980afea853cd966bf
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
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
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
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
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
This reverts commit 8e242cd012.
Revert because lib/pq has known issues with context cancellation.
These issues need to be resolved before these changes can be merged.
Change-Id: I160af51dbc2d67c5449aafa406a403e5367bb555
this will allow for some nice runtime analysis down the road.
also, this allows for wrapping database handles in a way that
can interact with these contexts
requires https://review.dev.storj.io/c/storj/dbx/+/514
Change-Id: Ib087b7cd73296dd2c1e0331314da34d861f61d2b
When an uplink requests an upload or download from the satellite we are trackig the
allocated bandwidth twice. The value in bucket_bandwidth_rollups is used
for project limits but the value in storagenode_bandwidth_rollups is not
used at all. We can increase the performance by removing it. Uplinks
will get a faster response from the satellite.
Change-Id: Icccd41f94107ef34668f30f99bf5f728c384b07e
