Rename the functions that are prefixed with 'New' which connect with
Redis by 'Open' to make clear that they perform network operations.
Change-Id: I1351e89a642e8e2c2586626646315ad0fb2c6242
Update the Redis dependency to use the last major production version.
The last version accepts a context parameter in all the network methods
so it allows us to pass it through them.
Change-Id: I34121b2ec3c2728602115c724933ad24c9e6e4fd
Move a specific interface & types used for testing to be a private
subpackage with a name that clearly identifies it for testing purpose.
Change-Id: I646cf3b6f0a3b518a6f9a125998dc5a02df02db6
We have to adapt the live accounting to allow the packages that use it
to differentiate about errors for being able to ignore them and make our
satellite resilient to Redis downtime.
For differentiating errors we should make changes in the live accounting
but also in the storage/redis.Client, however, we may need to do some
dirty workarounds or break other parts of the implementation that
depends on it.
On the other hand we want to get rid of the storage/redis.Client because
it has more functionality that the one that we are using and some
process has been started to remove it.
Hence, we have refactored the live accounting to directly use the Redis
client library for later on (in a future commit) adapt the satellite for
being resilient to Redis downtime.
Last but not least, a test for expired bandwidth keys have been added
and with it a bug was spotted and fix it.
Change-Id: Ibd191522cd20f6a9a15e5ccb7beb83a678e530ff
errors.New errors will not show up in monkit tracing
as a useful error type. this change fixes a test (!)
and makes it so monkit will tell us what the error
type is, if we have this failure
Change-Id: Ic9933704e4095495c7ee286d9df3eb7eb94b25c9
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
* 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
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
* 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
..although it ought to work for other storage.KeyValueStore needs as
well. it's just optimized to work pretty well for a largish hierarchy of
paths.
This includes the addition of "long benchmarks" for KeyValueStore
testing. These will only be run when -test-bench-long is added to the
test flags. In these benchmarks, a large corpus of paths matching a
natural ("real-life") hierarchy is read from paths.data.gz (which you
can get from https://github.com/storj/path-test-corpus) and imported
into a particular KeyValueStore. Recursive and non-recursive queries are
run on it to detect performance problems that arise only at scale.
This also includes alternate implementation of the postgreskv client,
which works in a less-bizarre way for non-recursive queries, but suffers
from poor performance in tests such as the long benchmarks. Once this
alternate impl is committed to the tree, we can remove it again; I just
want it to be available for future reference.
* Let's do it right this time
* Oh travis...
* Handle redis URL
* Travis... why u gotta be like this?
* Handle when address does not use redis scheme
* Start repairer
* Match provider.Responsibility interface
* Simplify if statement
* Config doesn't need to be a pointer
* Initialize doesn't need to be exported
* Don't run checker or repairer on startup
* Fix travis complaints
1. Added KeyValueStore.Iterate for implementing the different List, ListV2 etc. implementations. This allows for more efficient use of memory depending on the situation.
2. Implemented an inmemory teststore for running tests. This should allow to replace MockKeyValueStore in most places.
3. Rewrote tests
4. Pulled out logger from bolt implementation so it can be used for all other storage implementations.
5. Fixed multiple things in bolt and redis implementations.
