this commit updates our monkit dependency to the v3 version where
it outputs in an influx style. this makes discovery much easier
as many tools are built to look at it this way.
graphite and rothko will suffer some due to no longer being a tree
based on dots. hopefully time will exist to update rothko to
index based on the new metric format.
it adds an influx output for the statreceiver so that we can
write to influxdb v1 or v2 directly.
Change-Id: Iae9f9494a6d29cfbd1f932a5e71a891b490415ff
DeleteMultiple will allow metainfo to delete multiple segments
and get the old pointers in a single request.
Change-Id: Ic144f30c5453274fa2b80df2895f123f5a9cc48b
Currently storage tests were tied to the default lookup limit.
By increasing the limits, the tests will take longer and sometimes
cause a large number of goroutines to be started.
This change adds configurable lookup limit to all storage backends.
Also remove boltdb.NewShared, since it's not used any more.
Change-Id: I1a052f149da471246fac5745da133c3cfc27582e
COUNT on a SCAN does not actually limit the results [1]. It limits the
amount of work a single call to SCAN will perform before returning. By
setting this to limit we can sometimes timeout on the request if limit
is very large.
This restores storage/redis back to it's original behavior.
[1]: https://redis.io/commands/scan#the-count-option
Change-Id: Ia75afb5152df909df38c9a7c6feb74d062f49d6a
This was inadvertently converted to the Cockroach version. This reverts
most of that and keeps the changes since then.
Change-Id: Ia440eeebb01bc89fbfa8ce266668030173061469
Replace all the remaining uses of sql.DB with tagsql.DB to
fix issues with context cancellation.
Introduce tagsql.Open which helps to get rid of all tagsql.Wrap-s.
Use tagsql in cockroachkv and postgreskv.
Change-Id: I8946d203341cb85a25976896fc7881e1f704e779
* Plumbs the limit through all backends ensuring they don't do
unnecessary work.
* Don't arbitrarily limit at the backend with hardcoded defaults. The
limit will be set by the caller.
Prior to this change the code on recursive in some backends would do 10k
results from the database and then only return the first 1k (throwing
out 9k of them).
Prior to this change some backends had no limit at all (e.g. redis).
Change-Id: I1f327eefe095776d123dd11362cd00994c22efdf
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 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
this allows for setting $STORJ_METAINFO_POSTGRESQL_USE_ALT=yes if you
want to use the cockroachkv implementation for metainfo against postgres
Change-Id: I0c9458c83fd67ee63ef4a78351e64a80a0647408
CockroachDB collects query metrics and separates them by application name and we were not setting the correct application name for the cockroachkv client. This PR calls our existing function that appends it to the connection string.
Change-Id: I4a97ed248c31f8b187c680d84b45472f0d50fd7e
We may never need this code to work with CockroachDB, but I'm on a
mission to avoid problematic uses of Begin() and BeginTx(), and anywhere
they appear is a possible place for someone to copy-and-paste and do
something wrong. dbutil.WithTx makes this code a little bit simpler too,
so it seems worthwhile.
Change-Id: I9b4ab484db4590cad5ab07de515bbf5d9708daed
This commit adds functionality to include the space used in the trash
directory when calculating available space on the node.
It also includes this trash value in the space used cache, with methods
to keep the cache up-to-date as files are trashed, restored, and
emptied.
As part of the commit, the RestoreTrash and EmptyTrash methods have
slightly changed signatures. RestoreTrash now also returns the keys that
were restored, while EmptyTrash also returns the total disk space
recovered. Each of these changes makes it possible to keep the cache
up-to-date and know how much space is being used/recovered.
Also changed is the signature of PieceStoreAccess.ContentSize method.
Previously this method returns only the content size of the blob,
removing the size of any header data. This method has been renamed
`Size` and returns both the full disk size and content size of the blob.
This allows us to only stat the file once, and in some instances (i.e.
cache) knowing the full file size is useful.
Note: This commit simply adds the trash size data to the piece size data
we were already collecting. The piece size data is not accurate for all
use-cases (e.g. because it does not contain piece header data); however,
this commit does not fix that problem. Now that the ContentSize (Size)
method returns the full size of the file, it should be easier to fix
this problem in a future commit.
Change-Id: I4a6cae09e262c8452a618116d1dc66b687f59f85
the relatively small batch size of 128 was chosen so that if we have
a set of keys like
a/1
a/2
...
a/100000
b
c
list operations would not have to walk 100k keys inside of a/ before
skipping to b. unfortunately, iteration is also used by the metainfo
loop. in that case, it's doing a recursive listing, and so there's
no need to skip large prefixes. thus, we can use a bigger batch
size when recursive listing is requested.
Change-Id: I87cf1ba385b6eb2928c5b7cc5e0f7a8c7bd126d9
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
* initial test
* add parenthesis
* remove pipeline
* add few todos
* use docker image for environment
* use pipeline
* fix
* add missing steps
* invoke with bash
* disable protoc
* try using golang image
* try as root
* Disable install-awscli.sh temporarily
* Debugging
* debugging part 2
* Set absolute path for debugging
* Remove absolute path
* Dont run as root
* Install unzip
* Dont forget to apt-get update
* Put into folder that is in PATH
* disable IPv6 Test
* add verbose info and check protobuf
* make integration non-parallel
* remove -v and make checkout part of build
* make a single block for linting
* fix echo
* update
* try using things directly
* try add xunit output
* fix name
* don't print empty lines
* skip testsuites without any tests
* remove coverage, because it's not showing the right thing
* try using dockerfile
* fix deb source
* fix typos
* setup postgres
* use the right flag
* try using postgresdb
* expose different port
* remove port mapping
* start postgres
* export
* use env block
* try using different host for integration tests
* eat standard ports
* try building images and binaries
* remove if statement
* add steps
* do before verification
* add go get goversioninfo
* make separate jenkinsfile
* add check
* don't add empty packages
* disable logging to reduce output size
* add timeout
* add comment about mfridman
* Revert Absolute Path
* Add aws to PATH
* PATH Changes
* Docker Env Fixes
* PATH Simplification
* Debugging the PATH
* Debug Logs
* Debugging
* Update PATH Handling
* Rename
* revert changes to Jenkinsfile
