We have an alert on `repair_too_many_nodes_failed` which fires too
frequently. Every time so far, it has been because of a network blip of
some nature on the satellite side.
Satellite operators are expected to have other means in place for
alerting on network problems and fixing them, so it's not necessary for
the repair framework to act in that way.
Instead, in this change, we change the way that
`repair_too_many_nodes_failed` works. When a repair fails, we collect
piece fetch errors by type and determine from them whether it looks like
we are having network problems (most errors are connection failures,
possibly also some successful connections which subsequently time out)
or whether something else has happened.
We will now only emit `repair_too_many_nodes_failed` when the outcome
does not look like a network failure. In the network failure case, we
will instead emit `repair_suspected_network_problem`.
Refs: https://github.com/storj/storj/issues/4669
Change-Id: I49df98da5df9c606b95ad08a2bdfec8092fba926
This structure is entirely unused within the audit module, and is only
used by repair code. Accordingly, this change moves the structure from
audit code to repair code.
Also, we take the opportunity here to rename the structure to something
less generic.
Refs: https://github.com/storj/storj/issues/4669
Change-Id: If85b37e08620cda1fde2afe98206293e02b5c36e
This is in response to community feedback that our existing reputation
calculation is too likely to disqualify storage nodes unfairly with
extreme swings up and down.
For details and analysis, please see the data_loss_vs_dq_chance_sim.py
tool, the "tuning reputation further.ipynb" Jupyter notebook in the
storj/datascience repository, and the discussion at
https://forum.storj.io/t/tuning-audit-scoring/14084
In brief: changing the lambda and initial-alpha parameters in this way
causes the swings in reputation to be smaller and less likely to put a
node past the disqualification threshold unfairly.
Note: this change will cause a one-time reset of all (non-disqualified)
node reputations, because the new initial alpha value of 1000 is
dramatically different, and the disqualification threshold is going to
be much higher.
Change-Id: Id6dc4ba8fde1be3db4255b72282207bab5491ca3
I don't know why the go people thought this was a good idea, because
this automatic reformatting is bound to do the wrong thing sometimes,
which is very annoying. But I don't see a way to turn it off, so best to
get this change out of the way.
Change-Id: Ib5dbbca6a6f6fc944d76c9b511b8c904f796e4f3
We made optimization for segment loop observers to avoid
heavy monkit initialization on each call. It was applied to very
often executed methods. Unfortunately we used wrong monkit
method to track function times. Instead mon.Task we used
mon.Func().
https://github.com/spacemonkeygo/monkit#how-it-works
Change-Id: I9ca454dbd828c6b43ba09ca75c341991d2fd73a8
We retry a GET_REPAIR operation in one case, and one case only (as far
as I can determine): when we are trying to connect to a node using its
last known working IP and port combination rather than its supplied
hostname, and we think the operation failed the first time because of a
Dial failure.
However, logs collected from storage node operators along with logs
collected from satellites are strongly indicating that we are retrying
GET_REPAIR operations in some cases even when we succeeded in connecting
to the node the first time. This results in the node complaining loudly
about being given a duplicate order limit (as it should), whereupon the
satellite counts that as an unknown error and potentially penalizes the
node.
See discussion at
https://forum.storj.io/t/get-repair-error-used-serial-already-exists-in-store/17922/36
.
Investigation into this problem has revealed that
`!piecestore.CloseError.Has(err)` may not be the best way of determining
whether a problem occurred during Dial. In fact, it is probably
downright Wrong. Handling of errors on a stream is somewhat complicated,
but it would appear that there are several paths by which an RPC error
originating on the remote side might show up during the Close() call,
and would thus be labeled as a "CloseError".
This change creates a new error class, repairer.ErrDialFailed, with
which we will now wrap errors that _really definitely_ occurred during
a Dial call. We will use this class to determine whether or not to retry
a GET_REPAIR operation. The error will still also be wrapped with
whatever wrapper classes it used to be wrapped with, so the potential
for breakage here should be minimal.
Refs: https://github.com/storj/storj/issues/4687
Change-Id: Ifdd3deadc8258f34cf3fbc42aff393fa545794eb
Recently we applied this optimization to metrics observer and time
used by its method dropped from 12m to 3m for us1 (220m segments).
It looks that it make sense to apply the same code to all observers.
Change-Id: I05898aaacbd9bcdf21babc7be9955da1db57bdf2
Implement a buffer for inserting repair items into the queue in a batch.
Part of https://github.com/storj/storj/issues/4727
Change-Id: I718472b2f2b1f4993c3d6f15c44923776407155a
TestSegmentInExcludedCountriesRepair and TestSegmentInExcludedCountriesRepairIrreparable are using 20 storage nodes.
This change make them use 7 by adjusting the test redundancy scheme.
Change-Id: I1a44aa8b997d6edcc9a3305fdd0dac57e4d525b5
To save load on DNS servers, the repair code first tries to dial the
last known good ip and port for a node, and then falls back to a DNS
lookup only if we fail to connect to the last known good ip and port.
However, it looks like we are seeing errors during the client stream
Close() call (probably due to quic-go code), and those are classified
the same as errors encountered during Dial. The repairer code sees this
error, assumes that we failed to contact the node, and retries- but
since we did actually succeed in connecting the first time around, this
results in submitting the same order limit (with the same serial number)
to the storage node, which (rightfully) rejects it.
So together with change I055c186d5fd4e79560f67763175bc3130b9bc7d2 in
storj/uplink, this should avoid the double submission and avoid dinging
nodes' suspension scores unfairly.
See https://github.com/storj/storj/issues/4687.
Also, moving the testsuite directory check up above check-monkit in the
Jenkins Lint task, so that a non-tidy testsuite/go.mod can be recognized
and handled before everything breaks weirdly and seemingly randomly
later on.
Change-Id: Icb2b05aaff921d0af6aba10e450ac7e0a7bb2655
We don't need to have every single test for both, only one for
each should be sufficient. For all other tests it doesn't matter
which one we use.
Change-Id: I9962206a4ee025d367332c29ea3e6bc9f0f9a1de
For nodes in excluded areas, we don't necessarily want to remove them
from the pointer, but we do want to increase the number of pieces in the
segment in case those excluded area nodes go down. To do that, we
increase the number of pieces repaired by the number of pieces in
excluded areas.
Change-Id: I0424f1bcd7e93f33eb3eeeec79dbada3b3ea1f3a
Add a RepairExcludedCountryCodes config flag for overlay for providing a list of country codes to exclude nodes from target repair selection.
Mark segments with less than repairThreshold pieces in countries not in the RepairExcludedCountryCodes as not healthy.
With this change, the repair process is not affected. The segment will be removed from the repair queue by the repairer.
Another change will handle the logic at the repairer level.
Fixes https://github.com/storj/team-metainfo/issues/95
Change-Id: I9231b32de117a116488de055a3e94efcabb46e81
The "satellite fetch-pieces" command allows a satellite operator to
fetch as many pieces of a segment as possible, along with their
original order limits and hashes as provided by the storage nodes. The
fetched pieces and associated info will be stored on in a specified
folder as they are, rather than being RS-decoded or decrypted.
It is hoped that this will allow easier debugging of certain one-off
problems we've observed in the wild.
Change-Id: I42ae0e9ef0023538e42473a9be5a2460a3ac0f3a
inconsistency
The original design had a flaw which can potentially cause discrepancy
for nodes reputation status between reputations table and nodes table.
In the event of a failure(network issue, db failure, satellite failure, etc.)
happens between update to reputations table and update to nodes table, data
can be out of sync.
This PR tries to fix above issue by passing through node's reputation from
the beginning of an audit/repair(this data is from nodes table) to the next
update in reputation service. If the updated reputation status from the service
is different from the existing node status, the service will try to update nodes
table. In the case of a failure, the service will be able to try update nodes
table again since it can see the discrepancy of the data. This will allow
both tables to be in-sync eventually.
Change-Id: Ic22130b4503a594b7177237b18f7e68305c2f122
If satellite can't find enough nodes to successfully download a segment,
it probably is not the fault of storage nodes.
Change-Id: I681f66056df0bb940da9edb3a7dbb3658c0a56cb
work
Since we have changed the repair worker to also mark a node as audit
failure if they return a not found error, we should ignore expired
segments when possible
Change-Id: Ie6a677e1d7b234e93965c736d05950440236653c
This change introduce problems with server side move so
let's revert it for now. Problem was found when latest
version of storj/storj was used in uplink tests.
This reverts commit 1ef06fae99.
Change-Id: I4d4fad5d1ea04ba15ff9d7bd765f7e078e9187c2
We were using mixed types for nonce fields. Protobuf
have storj.Nonce, metabase have []byte. This change
is a refactoring to have everywere its possible only
storj.Nonce.
Change-Id: Id54bd8481f30c721cdaf3df79206d25e7cfdab55
Update repair tests to check if audit score increases for nodes
that successfully send pieces during successfull and failed repairs.
Change-Id: Ie6abbde6155ab4697d209366c9fa497e731756e9
At some point we moved metabase package outside Metainfo
but we didn't do that for satellite structure. This change
refactors only tests.
When uplink will be adjusted we can remove old entries in
Metainfo struct.
Change-Id: I2b66ed29f539b0ec0f490cad42c72840e0351bcb
When we can't complete an audit or repair, we need more information about
what happened during each individual share/piece download.
In audit, add the number of offline, unknown, contained, failed nodes to
the error log. In repair, combine the errors from each download and add
them to the error log.
Change-Id: Ic5d2a0f3f291f26cb82662bfb37355dd2b5c89ba
This change adds a NOT NULL constraint to the created_at column in the segment table.
All occurrences of CreatedAt as a pointer are changed to non pointer version (metabase, segment loop, etc)
Change-Id: I3efd476ebd1edd3327b69c9223d9edc800e1cc52
This change adds dedicated methods on metabase.Pieces to be able to add, remove pieces and also to check duplicates.
Change-Id: I21aaeff40c017c2ebe1cc85a864ae546754769cc
Error from joining loop should not restart satellite. This will be the
same error like for loop itself. In the same way we are handling joining
error for other services that are using segment loop.
Change-Id: Idf1035ef7f78462927bd23989ed8a4ee5826c49e
Sometimes we see timeouts from DNS lookups when trying to do
repair GETs. Solution: try using node's last IP and port first.
If we can't connect, retry with DNS lookup.
Change-Id: I59e223aebb436118779fb18378f6e09d072f12be
We want to use StreamID/Position to identify injured
segment. As it is hard to alter existing injuredsegments
table we are adding a new table that will replace existing
one. Old table will be dropped later.
Change-Id: I0d3b06522645013178b6678c19378ebafe485c49
This is part of metaloop refactoring. We plan to remove
irreparable at some point but there was not time for it.
Now instead refatoring it for segmentloop its just easier
to drop it.
Later we still need to drop table with migration step.
Change-Id: I270e77f119273d39a1ecdcf5e1c37a5662a29ab4
