The same was that our Admin API handles project and account deletions currently, we would like
to have the same checks on the user-facing API. This PR adds the same checks to the console service.
General more applicable checks have been moved directly into the payments service.
In addition it adds the BucketsDB to the console DB, to have easier access and avoiding import cycles with
the metainfo package.
A small cleanup around our unnecessary monkit imports made it in as well.
Change-Id: I8769b01c2271c1687fbd2269a738a41764216e51
holding it during node i/o means slow nodes can hold up order
processing for everyone else. this dramatically increases
the amount of tiem spent handling orders.
Change-Id: Iec999b7ed0817c921a0fd039097a75bdd3c70ea2
Doing it at the ProcessOrders level was insufficient: the endpoints
make multiple database calls. It was a misguided attempt to only
have one spot enter the semaphore. By putting it in the endpoint
we can not only be sure that the concurrency is correctly limited
but it can be configurable easily.
Change-Id: I937149dd077adf9eb87fce52a1a17dc0afe96f64
nodes are submitting using both the legacy and windowed endpoints
and thus having their legacy submissions rejected.
it is legal to use both the legacy and windowed endpoints
in phase1 since they use the same backend. the legacy endpoint
is disabled in phase2 and phase3.
therefore, if we wait an order expiration period (2 days) after
we determine enough nodes have started using the windowed
endpoint, we can be sure that any orders they did have to
submit with the legacy endpoint will have expired.
Change-Id: I4418a881bf8bb9377efaef4c651e6103a5dc6ed0
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
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
It feels weird having a repairer configuration part of order services.
Let's have a single source of truth for it.
Change-Id: I24f7c897aec80f3293f8af24876cbb6733d85a0b
the flush batch size was set to 1 which means that a flush was
async scheduled after the first write. the explicit trigger wait
was then always flushing nothing, and the test would only
pass if the async flush was scheduled before the read.
remove that async flush and pause the flush loop so that we are
in full control of when the flushes happen so there are no races.
the tests are still disabled but that's because the endpoint is
still disabled.
Change-Id: I2b7b07fd5525388c30be8efbf4af7105087228da
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
This adds EncryptionKey definition that can be used as a flag.
These order.EncryptionKey-s will be used to encrypt data in
order limits.
This helps to avoid storing lots of transient data in the
main database.
This code doesn't yet contain encryption itself.
Change-Id: I2efae102a89b851d33342a0106f8d8b3f35119bb
By ensuring that they have less randomness it means that they can be
compressed better. Using a timestamp should be a good improvement here.
Change-Id: Ic4dabb53335a744ff1c332dd279f37ae2cd79357
there are a subset of storagenodes hammering the satellite with
expired orders. if we check for expiration first, we don't have
to do a bunch of pointless signature verification. since a && b
is equal to b && a, we can order these checks in any way we want
and have it still be correct.
Change-Id: I6ffc8025c8b0d54949a1daf5f5ea1fed9e213372
we still need to come up with a better plan to get storage nodes
to stop doing this, but in the meantime, we know this is happening,
just stop logging it and keep some stats instead.
Change-Id: Icb6bcba275e0e955c54b1a90da2b37219fff2349
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
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
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
