Migration step was closing a database that was used by
the migration itself. There is an active tranasction
over the database.
Instead of closing in the same transaction we can wait
until restart for the database cleanup.
Change-Id: Ic971d8cea81a3ab783f4a1bdc6357009c8b31386
Also added temporary types withRebind and withTagTx,
which will be later removed. Currently they help to avoid
changing the whole codebase at the same time.
Change-Id: I7f07ba8f4709a23a463bfa67464628665a05808f
dbschema.Query is used only for testing and sqlite,
so this won't cause us problems in production.
Change-Id: Ib296a7daf161a9d3de23a7dfdc4f505d47ac4a37
storagenode database preflight check.
Disable preflight database check by default, and have the option to
enable it. This will allow us to enable it once it is definitely
working.
Also change the name of the config flag for preflight time sync.
Change-Id: Ie2e20f9e25dcb38794eafa7e1505e7c6ff287c99
On pieces usage cache init we now load the trash info from the db. Also
fixes a test that was masking the failure here.
Change-Id: I9ff7da5bc6c0f74cf0942e20931b40e0c88d70fa
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
for storagenode
Ensure that database schema matches latest test migration schema before
allowing the node to start up.
Ensure minimal read/write functionality for each storagenode database
before allowing the node to start up.
This will eliminate many unhandled audit errors we are seeing.
Change-Id: Ic0e628b04a9c35b7a8243f6a81d4683918170ba9
live accounting used to be a cache to store writes before they are picked up during
the tally iteration, after which the cache is cleared. This created a window in which
users could potentially exceed the storage limit. This PR refactors live accounting to
hold current estimations of space used per project. This should also reduce DB load
since we no longer need to query the satellite DB when checking space used for limiting.
The mechanism by which the new live accounting system works is as follows:
During the upload of any segment, the size of that segment is added to its respective
project total in live accounting. At the beginning of the tally iteration we record
the current values in live accounting as `initialLiveTotals`. At the end of the tally
iteration we again record the current totals in live accounting as `latestLiveTotals`.
The metainfo loop observer in tally allows us to get the project totals from what it
observed in metainfo DB which are stored in `tallyProjectTotals`. However, for any
particular segment uploaded during the metainfo loop, the observer may or may not
have seen it. Thus, we take half of the difference between `latestLiveTotals` and
`initialLiveTotals`, and add that to the total that was found during tally and set that
as the new live accounting total.
Initially, live accounting was storing the total stored amount across all nodes rather than
the segment size, which is inconsistent with how we record amounts stored in the project
accounting DB, so we have refactored live accounting to record segment size
Change-Id: Ie48bfdef453428fcdc180b2d781a69d58fd927fb
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
everyone was importing it as dbx anyway. why should it be
named satellitedb? so yeah just pass the "-p dbx" flag.
Change-Id: I5efa669f4f00f196b38a9acd0d402009475a936f
Create a service for deleting pieces of storage nodes.
Currently the DeletePieces method returns after a success threshold,
completion or a timeout.
The end goal is to return when reaching the success threshold and
leaving the remaining goroutines running after DeletePieces method
returns and add a life cycle to the service that it waits for them when
it closes.
This is the first commit for ticket:
https://storjlabs.atlassian.net/browse/V3-3476
Change-Id: If740bbf57c741f880449980b8176b036dd956c7b
This reverts commit 8e242cd012.
Revert because lib/pq has known issues with context cancellation.
These issues need to be resolved before these changes can be merged.
Change-Id: I160af51dbc2d67c5449aafa406a403e5367bb555
this will allow for some nice runtime analysis down the road.
also, this allows for wrapping database handles in a way that
can interact with these contexts
requires https://review.dev.storj.io/c/storj/dbx/+/514
Change-Id: Ib087b7cd73296dd2c1e0331314da34d861f61d2b
When error is formatted using %v it's not possible to check
whether the error was caused by a context cancellation.
Change-Id: I164d1c83cdf5e7e6eacf082145b5c6a47078d041
When error is formatted using %v it's not possible to check
whether the error was caused by a context cancellation.
Change-Id: Ia77dfb0817e49d9a7b168c12a6300d131007d0ee
