Instead of providing the database from outside to testplanet create it
inside and then allow wrapping and modifying it. This is more convenient
to use.
Change-Id: I9b8f69e6e0a19ff984b4e2bfe927c9100c77bc6c
Add flag to satellite repairer, "InMemoryRepair" that allows the
satellite to decide whether to download the entire segment being
repaired into memory (this is what the satellite already does), or to
download it into temporary files on disk that will be read from in the
upload phase of repair.
This should help with handling high repair traffic on satellites that
cannot afford to spend 64mb of memory per repair worker.
Updates tests to test repair for both in memory and to disk.
Change-Id: Iddf591e165621497c98533d45bfea3c28b08a194
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
storagenodes have like 10 or more databases. without this
tag they all get sent as the same value, stomping on each
other.
Change-Id: Ib12019684d6ea8f2a5b83df584056dfa79e3c4b3
This will help to determine how many grpc calls are made to the
satellite.
Also remove the grpc funcs that have been added to upstream.
Change-Id: I91878f4fd10f9bfe601c94222c102eaaf4d35963
* debug
* traces
* cfgstruct
* process
Package `storj/private/version` will be removed as a separate change.
Change-Id: Iadc40faa782e6225513b28218952f02d9c240a9f
The goal of this change is to improve the storagenode_storage_tallies table by removing the unneeded id column that is not being used but only taking up space, and also to add an index on a different column that needs it. Removing and adding a column seems simple, but ended up being more complicated because of some cockroachdb limitations.
The cockroachdb limitation when trying to remove a column from a table and create a new primary key are:
1. only allows primary key creation at table creation time (docs: https://www.cockroachlabs.com/docs/stable/primary-key.html)
2. table drop or rename is performed async and cannot be done in a transaction (issue: https://github.com/cockroachdb/cockroach/issues/12123, https://github.com/cockroachdb/cockroach/issues/22868)
To address these differences between cockroachdb and Postgres, this PR performs different migrations for the two database. The Postgres migration is straight forward and what you would expect, but the cockroach migration has two main changes:
1. To change a primary key, use the recommended process from the cockroachdb docs to create a new table with the new primary key you want and then migrate the data.
2. In order to do 1, we needed to do the new table renaming in a separate transaction from the data migration.
Ref: SM-65
Change-Id: Idc9aee3ab57aa4d5570e3d2980afea853cd966bf
This implements a service for pointer verification. This makes the
slightly clearer, because it's not part of metainfo.
It also adds a peer identity cache which reduces database calls and peer
identity decoding.
Change-Id: I45da40460d579c6f5fd74c69bccea215157aafda
step 1 in https://review.dev.storj.io/c/storj/uplink/+/1236
Now the old libuplink uses the temporary DeleteBucketReturnDeleted and
DeleteObjectReturnDeleted methods. This way, in the next step, we will
be able to change the DeleteBucket and DeleteObject methods to return
the deleted bucket/object.
Change-Id: I2e638be1960bca6ce1456c92849fcdd6d93e5252
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
Make sure that suspended nodes are treated appropriately by the overlay
cache. This means we should expect the following behavior:
* suspended nodes (vetted or not) should not be selected for uploading
new segments
* suspended nodes should be treated by the checker and repairer as
"unhealthy", and should be removed upon successful repair
This commit also removes unused overlay functionality.
Fixes a bug with commit 8b72181a1f where
the audit reporter was automatically suspending nodes regardless of
audit outcome (see test added).
Tests:
* updates repair tests to ensure that a suspended node is treated as
unhealthy and will be removed from the pointer on successful repair
* updates overlay tests for KnownUnreliableOrOffline and KnownReliable
to expect suspended nodes to be considered "unreliable"
* adds satellitedb test that ensures overlay.SelectStorageNodes and
overlay.SelectNewStorageNodes do not include suspended nodes
* adds audit reporter test to ensure that different audit outcomes
result in the correct suspended/disqualified states
Change-Id: I40dba67278c8e8d2ce0bcec5e0a5cb6e4ce2f561
Initial change for checking bucket existence on satellite side for
requests like BeginObject and ListObjects. This is simple implementation
that is just checking bucket in DB but should be improved in future to
avoid DB calls as much as possible.
Part of https://storjlabs.atlassian.net/browse/USR-365
Change-Id: I9076acddc44d7dbfa7612a1c24a007de01621583
This adds a piece deletion handler that has debounce for failed dialing
and batching multiple jobs into a single request.
Change-Id: If64021bebb2faae7f3e6bdcceef705aed41e7d7b
* change overlay.UpdateStats to allow a third audit outcome. Now it can
handle successful, failed, and unknown audits.
* when "unknown audit reputation"
(unknownAuditAlpha/(unknownAuditAlpha+unknownAuditBeta)) falls below the
DQ threshold, put node into suspension.
* when unknown audit reputation goes above the DQ threshold, remove node
from suspension.
* record unknown audits from audit reporter.
* add basic tests around unknown audits and suspension.
Change-Id: I125f06f3af52e8a29ba48dc19361821a9ff1daa1
To handle concurrent deletion requests we need to combine them into a
single request.
To implement this we introduces few concurrency ideas:
* Combiner, which takes a node id and a Job and handles combining
multiple requests to a single batch.
* Job, which represents deleting of multiple piece ids with a
notification mechanism to the caller.
* Queue, which provides communication from Combiner to Handler.
It can limit the number of requests per work queue.
* Handler, which takes an active Queue and processes it until it has
consumed all the jobs.
It can provide limits to handling concurrency.
Change-Id: I3299325534abad4bae66969ffa16c6ed95d5574f
