In case we have many small objects in the write-cache, `indices` should
not be reused between iterations.
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
Previously, node could get an "infinite" small object: it could be expired
and thus could not be flushed (update its storage ID) to metabase => could
not be marked as flushed => node never removes such object and repeat all
the cycle one more time. If object exists and is not marked with GC (meta
returns `ErrObjectIsExpired`, not `ObjectNotFound` and not
`ObjectAlreadyRemoved`), its ID is safe to update _in the same_ bbolt
transaction.
Signed-off-by: Pavel Karpy <p.karpy@yadro.com>
Currently, DELETE service sets tombstone expiration epoch to
`current epoch + 5`. This works less than ideal in private networks
where an epoch can be e.g. 10 minutes. In this case, after a node is
unavailable for more than 1 hour, already deleted objects have a chance
to reappear.
After this commit tombstone lifetime can be configured.
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
LRU `Peek`/`Contains` take LRU mutex _inside_ of a `View` transaction.
`View` transaction itself takes `mmapLock` [1], which is lifted after tx
finishes (in `tx.Commit()` -> `tx.close()` -> `tx.db.removeTx`)
When we evict items from LRU cache mutex order is different:
first we take LRU mutex and then execute `Batch` which _does_ take
`mmapLock` in case we need to remap. Thus the deadlock.
[1] 8f4a7e1f92/db.go (L708)
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
To achieve high performance we must choose proper values for both
batch size and delay. For user operations we want to set low delay.
However it would prevent tree synchronization operations to form big
enough batches. For these operations, batching gives the most benefit
not only in terms of on-CPU execution cost, but also by speeding up
transaction persist (`fsync`).
In this commit we try merging batches that are already
_triggered_, but not yet _started to execute_. This way we can still
query batches for execution after the provided delay while also allowing
multiple formed batches to execute faster.
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
If we had lots of domains in one zone, `dump-hashes` for all others
can miss some domains, because we need to restrict ourselves with _some_
number.
In this commit we use neo-go sessions by default, with a proper
failback to in-script iterator unwrapping.
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
"Object is expired" means that object is presented in `meta` but it is not
`ObjectNotFound` error. Previous implementation made `shard` search for an
object without `meta` which was an error.
Signed-off-by: Pavel Karpy <p.karpy@yadro.com>
Currently we track based on `PayloadSize`, because it is already stored
in the metabase and it is easier to calculate without slowing down the
whole system.
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
Signed-off-by: Pavel Karpy <p.karpy@yadro.com>
We rarely need to list all containers: as one example
we need it for tree service synchronization once per epoch.
Given that cache TTL has the order of block time it makes no sense
to cache the list of all containers.
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
In the previous implementation any non-nil error that preceded object
fetching from blobstor led to iterating over every storage (in other words,
no storage ID information was taken into account). Now storage ID is
skipped only if metabase (storage ID source) returns any error.
Signed-off-by: Pavel Karpy <p.karpy@yadro.com>
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
After the reconnection interval feature there was an bug related to the big
objects collecting: split error is returned from a client directly, not
via API status and was considered as a connection error.
Signed-off-by: Pavel Karpy <p.karpy@yadro.com>
Signed-off-by: Evgenii Stratonikov <e.stratonikov@yadro.com>
