When a storagenode begins to run low on capacity, we want to notify
the satellite before completely running out of space. To achieve this,
at the end of an upload request, the SN checks if its available space has
fallen below a certain threshold. If so, trigger a notification to the
satellites.
The new NotifyLowDisk method on the monitor chore is implemented using the
common/syn2.Cooldown type, which allows us to execute contact only once
within a given timeframe; avoiding hammering the satellites with requests.
This PR contains changes to the storagenode/contact package, namely moving
methods involving the actual satellite communication out of Chore and into
Service. This allows us to ping satellites from the monitor chore
Change-Id: I668455748cdc6741291b61130d8ef9feece86458
Each test log is starting with warnings like this: "rollout config
error: empty seed {"binary": "Identity"}". Make no sense to print them
and pollute output.
Change-Id: Ib50e28d09d8b259106d3b79d8f1262954a7aed63
Add a test for checking that the billing:
* it doesn't include upload traffic
* it includes download traffic
Change-Id: I1655c15c1fad642f77dd210f2014b2586ae10104
This change is a special case for batch processing. If in batch request
CommitSegment and CommitObject are one after another we can execute
these requests as one. This will avoid current logic where we are saving
pointer for CommitSegment and later we are deleting this pointer and
saving it once again as under last segment path for CommitObject.
This change should handle issue we have in older uplinks with incorrect
order of storing pointers.
Change-Id: I86514c95df169e6fbc91b52e5117472cae70cb8b
these tables are used in future commits with respect to the new
storagenode payments code. if we create them now, it will make
backfilling them with historical data easier.
Change-Id: I3c08c9770ec5b2baa38b4f2fd18c2f07746a61c2
NonParallel running is needed for gateway tests, because minio
unfortunately relies on global state.
Change-Id: If730db2ab86d10f4d02e1ac3128f758e9c18cdff
Remove the check around consuming an expired serial so that we
have more time to run the migration. It does open a small race
of double spends for entries already counted and then added to
the pending queue right around when they're going to expire and
the consumed serials have already been removed, but that should
be rare if we keep the pending queue empty.
Change-Id: I000b15979b09c67751281ff675ea6c81fc9d22dc
This moves grpc related tlsopts methods to private/grpctlsopts.
This allows to remove grpc dependency from tlsopts.
Change-Id: I25090b82b1e7a0633417ad600f8587b0c30ace73
By using a require for storj.io/storj it will make the import
unambiguous. This means it is possible to have a module name
storj.io/storj/cmd/gateway.
Change-Id: I98439cbbaf433ae31309b7f80a19ced896018f65
common/pb moved grpc to a separate package common/pb/pbgrpc.
This updates this repository to use it.
Change-Id: I2de2a190688871cf9cb61f7ea511f8a01e264e4e
Add a column to the repair queue table in the satellite db for healthy
piece count. When an item is selected from the repair queue, the least
durable segment that has not been attempted in the past hour should be
selected first. This prevents our repairer from getting stuck doing work
on segments that are close to the repair threshold while allowing
segments that are more unhealthy to degrade further.
The migration also clears the repair queue so that the migration runs
quickly and we can properly account for segment health in future repair
work.
We do not select items off the repair queue that have been attempted in
the past six hours. This was changed from on hour to allow us time to
try a wider variety of segments when the repair queue is very large.
Change-Id: Iaf183f1e5fd45cd792a52e3563a3e43a2b9f410b
1. only run release tags that don't contain 'rc'
2. install gateway version that's the same as satellite
3. update gateway access to contain satellite id
Change-Id: I8ca1418302c3aafdf0c4eaaf8361422a1eec2bd4
Now that we are trying to identify the root cause of the satellite load limitations (i.e. currently the satellite has a max ability of 400 rps for uploads and we need this to be higher), we are using the golang diagnostic tools to collect insight into what the bottlenecks are. We currently have a debug endpoint to gather some cpu and mem data, but it could be useful to have continuous profiling. GCP stackdriver has support for continuous profiling so lets set that up and see if it is helpful to gather more data.
This PR adds support for [GCP continuous profiler](https://cloud.google.com/profiler) which allows enabling continuous cpu/mem profiling and the stats are sent to stackdriver in google cloud console.
To enable the continuous profiling for a storj component, do the following:
- prereq: the workload must be running in GKE and have Stackdriver Profiling IAM role permissions
- provide the config flag `debug.profilename` in the config.yaml file for the workload (i.e. satellite api process, etc). The profilename should be the workload name, for example "satellite-api".
- once the above config flag is provided, the profiler will be initialized and profiling stats will automatically be sent to GCP project where the workload is running and viewable in the Stackdriver Profile page in the console
The current implementation assumes the workload is running in GKE, however if we find if useful we can add support to enable this from anywhere. But for simplicity, its configured this way assuming the main goal is to enable in production systems.
Change-Id: Ibf8ebe2df7bf06fdd4951ee6a1e48854dd36ad47
This new repair timeout (configured as TotalTimeout) will include both
the time to download pieces and the time to upload pieces, as well as
the time to pop the segment from the repair queue.
This is a move from Github PR #3645.
Change-Id: I47d618f57285845d8473fcd285f7d9be9b4318c8
This change adds two new tables to process orders as fast as we used
to but in an asynchronous manner and with hopefully less storage
usage. This should help scale on cockroach, but limits us to one
worker. It lays the groundwork for the order processing pipeline to
be queue rather than database driven.
For more details, see the added fast billing changes blueprint.
It also fixes the orders db so that all the timestamps that are
passed to columns that do not contain a time zone are converted to
UTC at the last possible opportunity, making it less likely to use
the APIs incorrectly. We really should migrate to include timezones
on all of our timestamp columns.
Change-Id: Ibfda8e7a3d5972b7798fb61b31ff56419c64ea35
With commit: 3331b443e7, satellite will
start calling `DeletePieces`. Therefore, we can remove the old endpoint
once the above commit is deployed with all satellites
Change-Id: I0124bc00a7cb808d119eb59f8fcd7fadf68158bb
