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
and replaces access grant with access
uplink share <path> --> creates access grant
uplink share --register <path> --> registers access grant
uplink share --url <path> --> creates URL, implies register and public
uplink share --dns <hostname> <path> --> creates dns info, implies register and public
Change-Id: I7930c4973a602d3d721ec6f77170f90957dad8c0
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
It turns out, that running a docker image build for specific
arches is not possible from amd64 (eg. installing ca-certificates).
Change-Id: I8b8f002b7e532fb4a0c6542d5b573c294c501068
WHAT:
api keys appearence is replaced with access grants
WHY:
last step of access grants implementing
Change-Id: Ibef391849c7185fa56627b482218c76fb2d31b46
WHAT:
updated overview step of onboarding tour. It shows upload data methods instead of tour steps now
WHY:
new onboarding tour
Change-Id: I7ffe9b2b91c2e17dd0c27e5e80a15301f6de16aa
WHAT:
first step of updating onboarding tour - adding routes
WHY:
onboarding your is being reworked so adding routes will make it easier to operate over it's states
Change-Id: Ide830989e39a6222e975bd2a6106b0efbb3839f9
WHAT:
search for bucket names during creating access grant flow
WHY:
make user be able to search for needed buckets. Just in case if the number of buckets is too large.
Change-Id: I73bcaa160c7a1f433d8f0f7213999e7e40543bbc
version
The test-versions test currently takes 1h 40min to run each time. By
running each installation concurrently, hopefully, it will reduce the execution
time for the whole test.
Change-Id: I680c7d9945e982894b11825c9075c167f754e087
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
Jeff provided feedback on https://review.dev.storj.io/c/storj/storj/+/3176 after
the changeset was already merged. I attempt to address that feedback here.
Change-Id: Ibc7dba3e4e2c73736042fe4b4ee49ce679ba7f44
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
