this will allow us to inspect the type of `db.Driver()` on *sql.DB
connections to correctly differentiate between pg and crdb conns.
as a bonus, this moves all concerns about when to replace "cockroach://"
with "postgres://" out of view, letting the thin shim "driver" take care
of that.
Change-Id: Ib24103ab7c508231e681f89a7321b623e4e125e9
to make them cancelable. Also,
* rename BulkDelete->BulkDeleteAll
this leaves room for a new method `BulkDelete(items storage.Items)` that
does a bulk deletion of a specified list of items, as opposed to
deleting _everything_. such a method would be used in the
`cleanupItems()` function found in utils.go, because when individual
deletes are fairly slow, that step takes way too long during tests.
* use BulkDelete method if available
nothing currently provides `BulkDelete(items storage.Items) error`,
but we made use of it with the Bigtable testing and code, and may make
use of it again when adding new kv backends.
* and eliminate the global context in test_iterate.go
Change-Id: I171c7a3818beffbad969b131e98b9bbe3f324bf2
for storj-sim to work, we need to avoid schemas in cockroach urls
so we have storj-sim create namespaced databases instead of schemas
and we have the migrate command create the database in the same way
that it would create a schema for postgres. then it works!
a follow up commit will move the creation of the database/schemas
into storj-sim's setup step so that we can avoid doing these icky
creations during normal migration calls. it will also make the
pointerdb have an explicit call to migrate instead of just doing
it every time it's opened.
Change-Id: If69ef5cb96b6866b0438c761bd445afb3597ae5f
first, so that they all work the same way, because it's getting
complicated, and second, so that we can do the appropriate thing
instead of CREATE SCHEMA for cockroachdb.
Change-Id: I27fbaeeb6223a3e06d97bcf692a2d014b31465f7
This is based on Jeff's most excellent work to identify why
non-recursive listing under postgreskv was phenomenally slow. It turns
out PostgreSQL's query planner was actually using two sequential scans
of the pathdata table to do its job. It's unclear for how long that has
been happening, but obviously it won't scale any further.
The main change is propagating bucket association with pathnames through
the CTE so that the query planner lets itself use the pathdata index on
(bucket, fullpath) for the skipping-forward part.
Jeff also had some changes to the range ends to keep NULL from being
used- I believe with the intent of making sure the query planner was
able to use the pathdata index. My tests on postgres 9.6 and 11
indicate that those changes don't make any appreciable difference in
performance or query plan, so I'm going to leave them off for now to
avoid a careful audit of the semantic differences.
There is a test included here, which only serves to check that the new
version of the function is indeed active. To actually ensure that no
sequential scans are being used in the query plan anymore, our tests
would need to be run against a test db with lots of data already loaded
in it, and that isn't feasible for now.
Change-Id: Iffe9a1f411c54a2f742a4abb8f2df0c64fd662cb
* put TestCreateV0 back in StoreForTest
* avoid direct handles to V0 pieceinfo db
* type mismatch fix
* use storage.Blobs interface in store_test.go
..instead of filestore.Store. this will allow filestore.Store to become
unexported.
* unexport filestore.Store
rename it to blobStore. things should use the storage.Blobs interface
instead. changes in this commit are purely mechanical (made through the
"refactor" tool in Gocode followed by search/replace on the word "Store"
within the storage/filestore/ directory).
* kill filestore.StoreForTest
now that filestore.blobStore is unexported, there isn't a need for a
specialized wrapper type. this (not coincidentally) also makes it
possible for the WriterForFormatVersion() method on
storagenode/pieces.StoreForTest to work, without requiring everything to
wrap the store.blobs attribute in a filestore.StoreForTest, which was
impractical.
We don't use reverse listing in any of our code, outside of tests, and
it is only exposed through libuplink in the
lib/uplink.(*Project).ListBuckets() API. We also don't know of any users
who might have a need for reverse listing through ListBuckets().
Since one of our prospective pointerdb backends can not support
backwards iteration, and because of the above considerations, we are
going to remove the reverse listing feature.
Change-Id: I8d2a1f33d01ee70b79918d584b8c671f57eef2a0
* separate sadb migration, add version check
* update checkversion to do same validation as migration
* changes per CR
* add sa migration to storj-sim
* add different debug port in storj-sim for migration
* add wait for exit for storj-sim migration
* update sa docker entrypoint to support migration
* storj-sim satellite parts all wait for migration
* upgrade golang-migrate/migrate to v4 because bug
* fix go mod tidy
* set up redis support in live accounting
* move live.Service interface into accounting package and rename to Cache, pass into satellite
* refactor Cache to store one int64 total, add IncrBy method to redis client implementation
* add monkit tracing to live accounting
* add cache, update cache w/piece create/delete
* add service w/loop to cache to recalculate space used cache
* add piecestore cache to other sn svcs to use
* add table to persist the total space used
* rm cache where not needed
* rm stuff from sn svcs
* start fixing tests, changes per comments
* update commits
* add unit tests
* fix commiting before we write header bytes
* fix cache create test
* copy cache map, add started back to recalc
* fix test
* add test, update comments
Deprecate the pieceinfo database, and start storing piece info as a header to
piece files. Institute a "storage format version" concept allowing us to handle
pieces stored under multiple different types of storage. Add a piece_expirations
table which will still be used to track expiration times, so we can query it, but
which should be much smaller than the pieceinfo database would be for the
same number of pieces. (Only pieces with expiration times need to be stored in piece_expirations, and we don't need to store large byte blobs like the serialized
order limit, etc.) Use specialized names for accessing any functionality related
only to dealing with V0 pieces (e.g., `store.V0PieceInfo()`). Move SpaceUsed-
type functionality under the purview of the piece store. Add some generic
interfaces for traversing all blobs or all pieces. Add lots of tests.
* pkg/datarepair/repairer: Track always time for repair
Make a minor change in the worker function of the repairer, that when
successful, always track the metric time for repair independently if the
time since checker queue metric can be tracked.
* storage/postgreskv: Wrap error in Get func
Wrap the returned error of the Get function as it is done when the
query doesn't return any row.
* satellite/metainfo: Move debug msg to the right place
NewStore function was writing a debug log message when the DB was
connected, however it was always writing it out despite if an error
happened when getting the connection.
* pkg/datarepair/repairer: Wrap error before logging it
Wrap the error returned by process which is executed by the Run method
of the repairer service to add context to the error log message.
* pkg/datarepair/repairer: Make errors more specific in worker
Make the error messages of the "worker" method of the Service more
specific and the logged message for such errors.
* pkg/storage/repair: Improve error reporting Repair
In order of improving the error reporting by the
pkg/storage/repair.Repair method, several errors of this method and
functions/methods which this one relies one have been updated to be
wrapper into their corresponding classes.
* pkg/storage/segments: Track path param of Repair method
Track in monkit the path parameter passed to the Repair method.
* satellite/satellitedb: Wrap Error returned by Delete
Wrap the error returned by repairQueue.Delete method to enhance the
error with a class and stack and the
pkg/storage/segments.Repairer.Repair method get a more contextualized
error from it.
* added scopelint and correcte issues found
* corrected scopelint issue
* made updates based on Ivan's suggestions
Most were around naming conventions
Some were false positives, but I kept them since the test.Run could eventually be changed to run in parallel, which could cause a bug
Others were false positives. Added // nolint: scopelint
* first round cleanup based on go-critic
* more issues resolved for ifelsechain and unlambda checks
* updated from master and gocritic found a new ifElseChain issue
* disable appendAssign. i reports false positives
* re-enabled go-critic appendAssign and disabled lint check at code line level
* fixed go-critic lint error
* fixed // nolint add gocritic specifically
* add flags to sotrj-sim for SA dbs
* add schema to postgres
* add createschema with parse to sa
* add metainfo db postgres support
* add kv default as bolt
* add debug log to see db source
* add env var for postgres to test-sim.sh
* fix lint errs
* dynamically add postgres to args
* add postgres to integration tests
* add sqlite and postgres integration jenkins
* fix db name
* merge integration tests into one step
* test integration tests w/psql
* try using different schema
* debug failure
* use correct host for running storj-sim
* rm sqlite integration
* add back integration
* add boltDB batching for Put operation, add benchmark test
* add batchPut method to kademlia routingTable
* add BatchPut method for other KeyValueStore to satisfy interface
* return err not implemented
* add noSync to boltdb client
* rm boltDB noSync
* make batch block and fix tests
* changes per CR
* rm test setting so it matches prod code behavior
* fix lint errs
