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
This preserves the last_ip_and_port field from node lookups through
CreateAuditOrderLimits() and CreateAuditOrderLimit(), so that later
calls to (*Verifier).GetShare() can try to use that IP and port. If a
connection to the given IP and port cannot be made, or the connection
cannot be verified and secured with the target node identity, an
attempt is made to connect to the original node address instead.
A similar change is not necessary to the other Create*OrderLimits
functions, because they already replace node addresses with the cached
IP and port as appropriate. We might want to consider making a similar
change to CreateGetRepairOrderLimits(), though.
The audit situation is unique because the ramifications are especially
powerful when we get the address wrong. Failing a single audit can have
a heavy cost to a storage node. We need to make extra effort in order
to avoid imposing that cost unfairly.
Situation 1: If an audit fails because the repair worker failed to make
a DNS query (which might well be the fault on the satellite side), and
we have last_ip_and_port information available for the target node, it
would be unfair not to try connecting to that last_ip_and_port address.
Situation 2: If a node has changed addresses recently and the operator
correctly changed its DNS entry, but we don't bother querying DNS, it
would be unfair to penalize the node for our failure to connect to it.
So the audit worker must try both last_ip_and_port _and_ the node
address as supplied by the SNO.
We elect here to try last_ip_and_port first, on the grounds that (a) it
is expected to work in the large majority of cases, and (b) there
should not be any security concerns with connecting to an out-or-date
address, and (c) avoiding DNS queries on the satellite side helps
alleviate satellite operational load.
Change-Id: I9bf6c6c79866d879adecac6144a6c346f4f61200
We are moving an error into rejectErr since its preventing storage nodes from being able to settle other orders.
Change-Id: I3ac97c340e491b127f5e0024c5e8bd9f4df8d5c3
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
