The order service still tries to settle orders at all instances even
when the satellite is marked as untrusted by the trust service, which
will always fail because the trust cache no longer has record of the
URL of the satellite, and it will keep retrying.
This leaves a lot of "satellite is untrusted" errors in the logs.
There has been several complaints on the forum because this was
happening a lot for the stefanlite and I expect it will be the
same issue for the decommisioned satellites US2 and EUN-1 once
the forget-satellite command is run to clean up the satellite.
This change allows the order service to archive unsent orders available
for any untrusted satellite, and will not attempt to settle the order.
https://github.com/storj/storj/issues/6262
Change-Id: If0f7f1783587cd18fab8917d45948f22df5b1dcf
Remove the orders Settlement endpoint because it isn't used and it was
already always returning an error.
Change-Id: I81486fbe7044a1444182173bc0693698ee7cfe7e
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
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
Since storage nodes check to see if any order files can be sent every 5
minutes, every storage node attempts to send orders to the satellite
within 5 minutes of each hour since this is when the files become
"available" to send. It is placing a lot of load on our satellite and
storage nodes are not being paid out properly due to timeouts during
order sending due to the increased satellite load.
Change-Id: I44d991b5884b8c11e8a3856d39aee8323f086b51
Abstract details of writing and reading data to/from orders files so
that adding V1 and future maintenance are easier.
Change-Id: I85f4a91761293de1a782e197bc9e09db228933c9
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
Most places now need the NodeURL rather than the ID and Address
separately. This simplifies code in multiple places.
Change-Id: I52621d8ca52296a8b5bf7afbc1001cf8bfb44239
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
When error is formatted using %v it's not possible to check
whether the error was caused by a context cancellation.
Change-Id: Ia77dfb0817e49d9a7b168c12a6300d131007d0ee
libuplink was incorrectly setting timeouts to 10 seconds still, but
should have been at least 10 minutes. the order sender was setting them
to 1 hour. we don't want timeouts in uplink-side logic as it establishes
a minimum rate on tcp streams.
instead of all of this, just use tcp keep alive. tcp keep alive packets are
sent every 15 seconds and if the peer stops responding the connection
dies. this is enabled by default with go. this will kill tcp connections
when they stop working.
Change-Id: I3d7ad49f71950b3eb43044eedf4b17993116045b
all of the packages and tests work with both grpc and
drpc. we'll probably need to do some jenkins pipelines
to run the tests with drpc as well.
most of the changes are really due to a bit of cleanup
of the pkg/transport.Client api into an rpc.Dialer in
the spirit of a net.Dialer. now that we don't need
observers, we can pass around stateless configuration
to everything rather than stateful things that issue
observations. it also adds a DialAddressID for the
case where we don't have a pb.Node, but we do have an
address and want to assert some ID. this happened
pretty frequently, and now there's no more weird
contortions creating custom tls options, etc.
a lot of the other changes are being consistent/using
the abstractions in the rpc package to do rpc style
things like finding peer information, or checking
status codes.
Change-Id: Ief62875e21d80a21b3c56a5a37f45887679f9412
Don't return error when archiving errors which aren't found in the DB
because it causes Storage Node send orders cycle to stop.
This was applied in the commit e47b8ed131
but the last call to orders.Archive function was missed so the errors
weren't returned when not found orders in the first call but they were
returned in the second call.
This commit address the second call for making handleBatches function
never returns error on not found orders.
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
