Currently we do not allow anything other than the "paid" status for invoices when
trying to delete a user. However there can be a couple of other states that are
still fine to accept during deletion of a user. This change reverses the order to
check for the status that we do not want to allow.
Change-Id: I78d85af6438015c55100fa201ccffc731c91de1c
this change isn't the real fix. it's just ignoring the problem.
i don't know what the real fix is. is the problem with the test, or
is there actually a problem with the rollup code?
Change-Id: I552bdd947deadc212cc56efc5f818942b9827126
Query nodes table using AS OF SYSTEM TIME '-10s' (by default) when on CRDB to alleviate contention on the nodes table and minimize CRDB retries. Queries for standard uploads are already cached, and node lookups for graceful exit uploads has retry logic so it isn't necessary for the nodes returned to be current.
Since the Satellite now requires the order encryption functionality (since serial_number table is deprecated) to properly function, we can remove the config flag to turn on/off the feature.
Change-Id: Ie973f72a9a05a81cef9e53dc9c99d22c940c2488
This PR contains the minimum changes needed to stop inserting into the serial_numbers table. This is the first step in completely deprecating that table.
The next step is to create another PR to remove the expiredSerial chore, fix more tests, and remove any other methods on the serial_number table.
Change-Id: I5f12a56ebf3fa4d1a1976141d2911f25a98d2cc3
The chief segment health models we've come up with are the "immediate
danger" model and the "survivability" model. The former calculates the
chance of losing a segment becoming lost in the next time period (using
the CDF of the binomial distribution to estimate the chance of x nodes
failing in that period), while the latter estimates the number of
iterations for which a segment can be expected to survive (using the
mean of the negative binomial distribution). The immediate danger model
was a promising one for comparing segment health across segments with
different RS parameters, as it is more precisely what we want to
prevent, but it turns out that practically all segments in production
have infinite health, as the chance of losing segments with any
reasonable estimate of node failure rate is smaller than DBL_EPSILON,
the smallest possible difference from 1.0 representable in a float64
(about 1e-16).
Leaving aside the wisdom of worrying about the repair of segments that
have less than a 1e-16 chance of being lost, we want to be extremely
conservative and proactive in our repair efforts, and the health of the
segments we have been repairing thus far also evaluates to infinity
under the immediate danger model. Thus, we find ourselves reaching for
an alternative.
Dr. Ben saves the day: the survivability model is a reasonably close
approximation of the immediate danger model, and even better, it is
far simpler to calculate and yields manageable values for real-world
segments. The downside to it is that it requires as input an estimate
of the total number of active nodes.
This change replaces the segment health calculation to use the
survivability model, and reinstates the call to SegmentHealth() where it
was reverted. It gets estimates for the total number of active nodes by
leveraging the reliability cache.
Change-Id: Ia5d9b9031b9f6cf0fa7b9005a7011609415527dc
A few weeks ago it was discovered that the segment health function
was not working as expected with production values. As a bandaid,
we decided to insert the number of healthy pieces into the segment
health column. This should have effectively reverted our means of
prioritizing repair to the previous implementation.
However, it turns out that the bandaid was placed into the code which
removes items from the irreparable db and inserts them into the repair
queue.
This change: insert number of healthy pieces into the repair queue in the
method, RemoteSegment
Change-Id: Iabfc7984df0a928066b69e9aecb6f615253f1ad2
There is a new checker field called statsCollector. This contains
a map of stats pointers where the key is a stringified redundancy
scheme. stats contains all tagged monkit metrics. These metrics exist
under the key name, "tagged_repair_stats", which is tagged with the
name of each metric and a corresponding rs scheme.
As the metainfo observer works on a segment, it checks statsCollector
for a stats corresponding to the segment's redundancy scheme. If one
doesn't exist, it is created and chained to the monkit scope. Now we can call
Observe, Inc, etc on the fields just like before, and they have tags!
durabilityStats has also been renamed to aggregateStats.
At the end of the metainfo loop, we insert the aggregateStats totals into the
corresponding stats fields for metric reporting.
Change-Id: I8aa1918351d246a8ef818b9712ed4cb39d1ea9c6
Make changes so that we only import the necessary files from the console package so that the generated wasm code is as small as possible.
This change gets the compiled wasm code down to 8.6MB uncompressed and 2MB when compressed with `gzip --best`.
https://review.dev.storj.io/c/storj/storj/+/3396
Change-Id: Ifdd4be285810757b46bbbe43327c0d0139e5f8f7
Remove a declared variable that's set by never read nor passed to any
function so it's unused code.
Change-Id: I8daf9d1f71d29ab39d7a80011d1b4813ada1c67d
We migrated satelliteDB off of Postgres and over to CockroachDB (crdb), but there was way too high contention for the injuredsegments table so we had to rollback to Postgres for the repair queue. A couple things contributed to this problem:
1) crdb doesn't support `FOR UPDATE SKIP LOCKED`
2) the original crdb Select query was doing 2 full table scans and not using any indexes
3) the SLC Satellite (where we were doing the migration) was running 48 repair worker processes, each of which run up to 5 goroutines which all are trying to select out of the repair queue and this was causing a ton of contention.
The changes in this PR should help to reduce that contention and improve performance on CRDB.
The changes include:
1) Use an update/set query instead of select/update to capitalize on the new `UPDATE` implicit row locking ability in CRDB.
- Details: As of CRDB v20.2.2, there is implicit row locking with update/set queries (contention reduction and performance gains are described in this blog post: https://www.cockroachlabs.com/blog/when-and-why-to-use-select-for-update-in-cockroachdb/).
2) Remove the `ORDER BY` clause since this was causing a full table scan and also prevented the use of the row locking capability.
- While long term it is very important to `ORDER BY segment_health`, the change here is only suppose to be a temporary bandaid to get us migrated over to CRDB quickly. Since segment_health has been set to infinity for some time now (re: https://review.dev.storj.io/c/storj/storj/+/3224), it seems like it might be ok to continue not making use of this for the short term. However, long term this needs to be fixed with a redesign of the repair workers, possible in the trusted delegated repair design (https://review.dev.storj.io/c/storj/storj/+/2602) or something similar to what is recommended here on how to implement a queue on CRDB https://dev.to/ajwerner/quick-and-easy-exactly-once-distributed-work-queues-using-serializable-transactions-jdp, or migrate to rabbit MQ priority queue or something similar..
This PRs improved query uses the index to avoid full scans and also locks the row its going to update and CRDB retries for us if there are any lock errors.
Change-Id: Id29faad2186627872fbeb0f31536c4f55f860f23
We need to be able to list all buckets in DB without knowing project ID.
This method will be used to list buckets for metainfo loop
implementation based on metabase.
Change-Id: Iac75af0eee4f31e80a15577575a8249cbca787b2
We are no longer planning on implementing downtime penalization using
the method described in
docs/blueprints/archive/storage-node-downtime-tracking-deprecated.md.
Now, we are implementing the design described in
docs/blueprints/storage-node-downtime-tracking-with-audits.md.
This change removes the downtime estimation chores from the satellite
core as well as the package satellite/downtime. A future change will
remove the database table.
Change-Id: I1a1d3cf9dceeba36255d25243294865b89925518
We want to stop using the serial_numbers table in satelliteDB. One of the last places using the serial_numbers table is when storagenodes settle orders, we look up the bucket name and project ID from the serial number from the serial_numbers table.
Now that we have support to add encrypted metadata into the OrderLimit, this PR makes use of that and now attempts to read the project ID and bucket name from the encrypted orderLimit metadata instead of from the serial_numbers table. For backwards compatibility and to ensure no errors, we will still fallback to the old way of getting that info from the serial_numbers table, but this will be removed in the next release as long as there are no errors.
All processes that create orderLimits must have an orders.encryption-keys set. The services that create orderLimits (and thus need to encrypt the order metadata) are the satellite apiProcess, the repair process, audit service (core process), and graceful exit (core process). Only the satellite api process decrypts the order metadata when storagenodes settle orders. This means that the same encryption key needs to be provided in the config for the satellite api process, repair process, and the core process like so:
orders.include-encrypted-metadata=true
orders.encryption-keys="<"encryptionKeyID>=<encryptionKey>"
Change-Id: Ie2c037971713d6fbf69d697bfad7f8b672eedd66
Which database access and how it internally does migrations is an
implementation detail and does not belong in the requirements interface.
Change-Id: Ia4a6994f39470063a96a8e5f3a1bd27aa79fe5cd
WHAT:
POST request to get gateway credentials using access grant.
Put request url to config and use it for request.
WHY:
to show gateway credentials on UI
Change-Id: I15ef43ecdeed69b0961d5796aacb47f36d560b1b
these are unchanged from storj.io/dbx.
we're importing them because in a later commit we
will change them, and it'd be nice to see that
diff as a separate commit.
Change-Id: I8315130ed6bab397bd65b9a1a90c29d130b8c02d
this change tries really hard to never have all of the storage node
rollups in memory at the same time, up until the rollups are actually
getting summed together.
Change-Id: If67f49e7d71106798d996a6850b3e48671bd9e18
the immediate need is to be able to move the repair queue back out
of cockroach if we can't save it.
Change-Id: If26001a4e6804f6bb8713b4aee7e4fd6254dc326
We did not test the SegmentHealth function with actual production
values, and it turns out that values such as 52 healthy, 35 minimum
result in +Inf segment health - so pretty much all segments put into the
repair queue have the same health, which means we effectively aren't
sorting by health.
This change inserts numHealthy as segment health into the database so
the segments are ordered as they were before. We need to refine the
SegmentHealth function before we can support multi RS.
Change-Id: Ief19bbfee3594c5dfe94ca606bc930f05f85ff74
Because the PieceTracker receives a piece count per nodes which is an
approximation of the number of nodes that they are going to be reported
by the metainfo loop so we can use as a good guess of the map's size and
initialized with it.
Change-Id: I644db40926c03e4c457457fb41d2ec1da059cea6