Populate the egress_dead column for taking into account allocated bandwidth that can be removed because orders have been sent by the storage nodes. The bandwidth not used in these orders can be allocated again.
Change-Id: I78c333a03945cd7330aec052edd3562ec671118e
project_bandwidth_daily_rollups table
We want to calculate used bandwidth better so we need to calculate it
from allocated and settled bandwidth. To do this we need first populate
this new table.
https://storjlabs.atlassian.net/browse/PG-56
Change-Id: I308b737bf08ee48ce4e46a3605697ab2095f7257
Delete satellite order methods and DB tables which aren't used anymore
after we have done a refactoring on the orders to stuck bucket
information in the orders' encrypted metadata.
There are also configuration parameters and a satellite chore that
aren't needed anymore after the orders refactoring.
Change-Id: Ida3682b95921df70792284b42c96d2508bf8ca9c
Before manipulating order information on storagenodes we need to wait
for the orders to propagate to the database. Some of that happens
async with uplink.
Change-Id: Iaacfd7db0909ab5d2831d06388e5fb27b6d4778f
In production we are seeing ~115 storage nodes (out of ~6,500) are not using the new SettlementWithWindow endpoint (but they are upgraded to > v1.12).
We analyzed data being reported by monkit for the nodes who were above version 1.11 but were not successfully submitting orders to the new endpoint.
The nodes fell into a few categories:
1. Always fail to list orders from the db; never get to try sending orders from the filestore
2. Successfully list/send orders from the db; never get to calling satellite endpoint for submitting filestore orders
3. Successfully list/send orders from the db; successfully list filestore orders, but satellite endpoint fails (with "unauthenticated" drpc error)
The code change here add the following to address these issues:
- modify the query for ordersDB.listUnsentBySatellite so that we no longer select expired orders from the unsent_orders table
- always process any orders that are in the ordersDB and also any orders stored in the filestore
- add monkit monitoring to filestore.ListUnsentBySatellite so that we can see the failures/successes
Change-Id: I0b473e5d75252e7ab5fa6b5c204ed260ab5094ec
satellite.DB.Console().Projects().GetAll database query
can be replaced with planet.Uplinks[0].Projects[0].ID
Change-Id: I73b82b91afb2dde7b690917345b798f9d81f6831
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
It feels weird having a repairer configuration part of order services.
Let's have a single source of truth for it.
Change-Id: I24f7c897aec80f3293f8af24876cbb6733d85a0b
Why: We need a way to cut down on database traffic due to bandwidth
measurement and tracking.
What: This changeset is the Satellite side of settling orders in 1 hr windows.
See design doc for more details: https://review.dev.storj.io/c/storj/storj/+/1732
Change-Id: I2e1c151e2e65516ebe1b7f47b7c5f83a3a220b31
This runs each benchmark for one iteration to ensure that they are
valid. Unfortunately, it does not give any useful metrics as output.
Change-Id: I68940398c8dd849aed656bd12656f48d5df10128
Submit an order limit with a high amount but the order has a low amount of traffic.
Make sure the order amount is used for billing.
Change-Id: I6b6ae26e9b8896f4a3acf530b2f48510b6df89cc
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
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
With this change RS configuration will be set on satellite. Uplink with
get RS values with BeginObject request and will use it. For backward
compatibility and to avoid super large change redundancy scheme stored
with bucket is not touched. This can be done in future.
Change-Id: Ia5f76fc10c37e2c44e4f7b8754f28eafe1f97eff
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 direct dependency on uplink.RSConfig, this simplifies
moving the config file without introducing weird dependencies.
Change-Id: I7fd2a145401e0205d7047631df9d2810241efeec
* V3-2529: Add DB savepoint to fix issue with postgres. Add test force a rejected order
Co-Authored-By: Ivan Fraixedes <ivan@fraixed.es>
* Update satellite/satellitedb/orders.go
This PR introduces functionality for routine deletion of archived orders.
The user may specify an interval at which to run archive cleanup and a TTL for archived items. During each cleanup, all items that have reached the TTL are deleted
This archive cleanup job is combined with the order sender into a new combined orders service
* fix orderdDB methods to take correct args
* update tally to save projectID in correct format
* update var names in splitBucket test
* changes per CR comments
* reorg uplink cmd files for consistency
* init implementation of usage limiting
* Revert "reorg uplink cmd files for consistency"
This reverts commit 91ced7639bf36fc8af1db237b01e233ca92f1890.
* add changes per CR comments
* fix custom query to use rebind
* updates per convo about what to limit on
* changes per comments
* fix syntax and comments
* add integration test, add db methods for test
* update migration, add rebind to query
* update testdata for psql
* remove unneeded drop index statement
* fix migrations, fix calculate usage limit
* fix comment
* add audit test back
* change methods to use bucketName/projectID, fix tests
* add changes per CR comments
* add test for uplink upload and err ssg
* changes per CR comments
* check get/put limit separately
This change adds satellite endpoint for receiving OrderLimits sent by storage node.
Change includes:
* wire up orders sender in storage node (also in testplanet)
* saving serial number for OrderLimit in serial_numbers table
* satellite endpoint for receiving, verifying and storing OrderLimit and Order serial number
* initial implementation for Orders DB
* basic test for sending orders to satellite
