We want to stop using the serial_numbers table in satelliteDB. One of the last places using the serial_numbers table is when storagenodes settle orders, we look up the bucket name and project ID from the serial number from the serial_numbers table.
Now that we have support to add encrypted metadata into the OrderLimit, this PR makes use of that and now attempts to read the project ID and bucket name from the encrypted orderLimit metadata instead of from the serial_numbers table. For backwards compatibility and to ensure no errors, we will still fallback to the old way of getting that info from the serial_numbers table, but this will be removed in the next release as long as there are no errors.
All processes that create orderLimits must have an orders.encryption-keys set. The services that create orderLimits (and thus need to encrypt the order metadata) are the satellite apiProcess, the repair process, audit service (core process), and graceful exit (core process). Only the satellite api process decrypts the order metadata when storagenodes settle orders. This means that the same encryption key needs to be provided in the config for the satellite api process, repair process, and the core process like so:
orders.include-encrypted-metadata=true
orders.encryption-keys="<"encryptionKeyID>=<encryptionKey>"
Change-Id: Ie2c037971713d6fbf69d697bfad7f8b672eedd66
Currently flag parsing seems to call Set twice, which causes problems
with encryption keys. We can clear for every set for now.
Change-Id: Id5c695b4020194ac1c50a2da9c7d2a896cb9216f
CRDB doesn't like large deletes. While testing in the POC environment we found that deletes on the serial_numbers table could take hours. This change limits deletes to 1000 at a time (configurable) to avoid blocking other queries.
Change-Id: I08455e25db1574579dd4d7b7125a08e9c913dff1
With the new phase 3 order submission, orders can be added to the
storage and bandwidth rollup tables at timestamps before the most recent
rollup was run. This change shifts the start time of each new rollup
window to account for any unexpired orders that might have been added
since the previous rollup.
A satellitedb migration is necessary to allow upserts in the
accounting_rollups table when entries with identical node_ids and
start_times are inserted.
Change-Id: Ib3022081f4d6be60cfec8430b45867ad3c01da63
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
It turns out we need to make 2 more changes in order for the new order submission phase 3 to get deployed.
This PR makes 2 changes:
1) when the rollup service deletes tallies, we now keep tallies around until orders expire (vs 1 day like before).
2) the reported rollup chore will now write the storagenode_bandwidth_rollups to a new table _phase2 as an intermediary step so it doesn't conflict with phase 3 order settlement.
These changes need to be deployed for 2 days before we can turn on phase 3 of the new orders settlement workflow.
Change-Id: Iafbff577ba7d55f8f17b7db857311b2ce799de60
This change is adjusting metainfo endpoint to use metabase for uploading
and downloading remote objects. Inline segments will be added later.
Change-Id: I109d45bf644cd48096c47361043ebd8dfeaea0f3
Storage nodes undergoing Graceful Exit have up to now been receiving
hostnames for all other storage nodes they need to contact when
transferring pieces. This adds up to a lot of DNS lookups, which
apparently overwhelm some home routers. There does not seem to be any
need for us to send hostnames for graceful exit as opposed to IP
addresses; we already use IP addresses (as given by the last_ip_port
column in the nodes table) for all the GET and PUT orders we send out.
This change causes IP addresses to be used instead.
I started trying to construct a test to ensure that the behavior
changed, but it was rabbit-holing, so I've begun to feel that maybe this
change doesn't require one; it is a very simple change, and very much of
the same nature as what we already do for IPs in CreateGetOrderLimits
and CreatePutOrderLimits (and others).
Change-Id: Ib2b5ffe7a9310e9cdbe7464450cc7c934fa229a1
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
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
common/pb moved grpc to a separate package common/pb/pbgrpc.
This updates this repository to use it.
Change-Id: I2de2a190688871cf9cb61f7ea511f8a01e264e4e
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
Enhance the documentation of the UseSerialNumber method (interface and
implementation) and add several missing dots in doc comments of the
methods of the same interface and implementation.
Change-Id: I792cd344f0d2542e060fa2ec288b71231cae69de
This change resolves all the storage node addresses to their IP addresses
before giving them to the uplink so that the uplink doesn't have to resolve
a hundred hosts and can immediately connect to improve uplink performance.
Change-Id: Idb834351e0fece409d74c8a1c29b0b8c9b09c9ff
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
For the last few month we had no issues with order submission. I would
call it stable and now it is time to risk a lower expire time. This will
increase the database performance on the satellite and it will reduce
the delay for billing.
The long term goal is 6h but for that step we need to change graceful
exit first. At the moment storage nodes would get disuqlaified for not
transfering alle pieces in less than 6 hours.
Change-Id: I421a2c2421c5374c4e706e2338f1c2161fedc14c
paths are organized as follows:
project_id/segment_index/bucket_name/encrypted_key
so by picking parts[0] and parts[1], we were using the segment
index instead of the bucket name, causing bandwidth to be
accounted for incorrectly. additionally, we were using the
PUT action instead of the PUT_GRACEFUL_EXIT action, causing
the data to be charged incorrectly. we use PUT_REPAIR for
now because nodes won't accept uploads with PUT_GRACEFUL_EXIT
and our tables need migrations to handle rollups with it.
Change-Id: Ife2aff541222bac930c35df8fcf76e8bac5d60b2
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
Currently we risk losing pending bandwidth rollup writes even on a clean
shutdown. This change ensures that all pending writes are actually
written to the db when shutting down the satellite.
Change-Id: Ideab62fa9808937d3dce9585c52405d8c8a0e703
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
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
the hope is that it is mostly interfering with itself, so this
will make it not do that (well, N api servers, but hopefully
that's not enough to cause it to have issues).
Change-Id: Ifd0c9e6617457785ab25fe5b714d8556cdc8e2d3
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
