Full scope:
private/testplanet,satellite/{overlay,satellitedb}
Description:
In most cases, downtime tracking with audits will eventually lead
to DQ for nodes who are unresponsive. However, if a stray node has no
pieces, it will not be audited and will thus never be disqualified.
This chore will check for nodes who have not successfully been contacted
in some set time and DQ them.
There are some new flags for toggling DQ of stray nodes and the timeframes
for running the chore and how long nodes can go without contact.
Change-Id: Ic9d41fdbf214736798925e728245180fb3c55615
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.
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
It turns out we need to make 2 more changes in order for the new order submission phase 3 to get deployed.
This PR makes 2 changes:
1) when the rollup service deletes tallies, we now keep tallies around until orders expire (vs 1 day like before).
2) the reported rollup chore will now write the storagenode_bandwidth_rollups to a new table _phase2 as an intermediary step so it doesn't conflict with phase 3 order settlement.
These changes need to be deployed for 2 days before we can turn on phase 3 of the new orders settlement workflow.
Change-Id: Iafbff577ba7d55f8f17b7db857311b2ce799de60
This makes it possible to remove of this obsolete flag from the
multi-tenant gateway.
As a consequence, displaying the GATEWAY_0_ACCESS env var will always
require a running storj-sim. Until now, it was required only the first
time. Then the value was stored in the 'access' config. But this is now
not possible anymore.
The changes in StripeMock are required to fix failures in integration
tests. StripeMock is in-memory and its data does not survive restarts of
storj-sim. The second and following starts of storj-sim had invalid
state of StripeMock, which failed requests that were required to
populate the GATEWAY_0_ACCESS env var. The changes in StripeMock makes
it repopulate the Stripe customers from the database.
Change-Id: I981a208172b76577f12ecdaae485f5ae4ea269bc
This PR adds the following items:
1) an in-memory read-only cache thats stores project limit info for projectIDs
This cache is stored in-memory since this is expected to be a small amount of data. In this implementation we are only storing in the cache projects that have been accessed. Currently for the largest Satellite (eu-west) there is about 4500 total projects. So storing the storage limit (int64) and the bandwidth limit (int64), this would end up being about 200kb (including the 32 byte project ID) if all 4500 projectIDs were in the cache. So this all fits in memory for the time being. At some point it may not as usage grows, but that seems years out.
The cache is a read only cache. When requests come in to upload/download a file, we will read from the cache what the current limits are for that project. If the cache does not contain the projectID, it will get the info from the database (satellitedb project table), then add it to the cache.
The only time the values in the cache are modified is when either a) the project ID is not in the cache, or b) the item in the cache has expired (default 10mins), then the data gets refreshed out of the database. This occurs by default every 10 mins. This means that if we update the usage limits in the database, that change might not show up in the cache for 10 mins which mean it will not be reflected to limit end users uploading/downloading files for that time period..
Change-Id: I3fd7056cf963676009834fcbcf9c4a0922ca4a8f
* The audit worker wants to get items from the queue and process them.
* The audit chore wants to create new queues and swap them in when the
old queue has been processed.
This change adds a "Queues" struct which handles the concurrency
issues around the worker fetching a queue and the chore swapping a new
queue in. It simplifies the logic of the "Queue" struct to its bare
bones, so that it behaves like a normal queue with no need to understand
the details of swapping and worker/chore interactions.
Change-Id: Ic3689ede97a528e7590e98338cedddfa51794e1b
Add a config so that some percent of users require credit cards /
account balances
in order to create a project or have a promotional coupon applied
UI was updated to match needed paywall status
At this point we decided not to use a field to store if a user is in an
A/B
test, and instead just use math to see if they're in a test. We decided
to use MD5 (because its in Postgres too) and User UUID for that math.
Change-Id: I0fcd80707dc29afc668632d078e1b5a7a24f3bb3
It feels weird having a repairer configuration part of order services.
Let's have a single source of truth for it.
Change-Id: I24f7c897aec80f3293f8af24876cbb6733d85a0b
Removes old project_bandwidth_rollups records that are no longer used.
Uses a retain months configuration to determine how many months to save. Current month cannot be removed.
Tests retainMonths=-1, 0, 2
Change-Id: Ia4be2546cdb28802427acf41ecd85ad66df3e62c
able to cover more testing scenarios
Currently, its hard to implement test suite for payments because
mockpayments is on to high level and we cannot emulate many things e.g.
adding credit card. This change is first to be able to add mock for
Stripe client and do more granular tests.
Change-Id: Ied85d4bd0642debdffe1161657c1e475202e9d23
See https://storjlabs.atlassian.net/browse/SM-752
These changes allow us to change the log level at runtime through a handler off of the debug endpoint.
Examples of changing the log level on storj-sim
To get the current level for the satellite api process:
curl -XGET 'http://127.0.0.1:10009/logging' --header 'Content-Type: text/plain'
To change the log level:
curl -XPUT 'http://127.0.0.1:10009/logging' --header 'Content-Type: text/plain' --data-raw '{"level":"error"}'
Change-Id: I05d164b290929fa06b6d78c01075ee41f8238044
* Delete expired segments in expired segments service using metainfo
loop
* Add test to verify expired segments service deletes expired segments
* Ignore expired segments in checker observer
* Modify checker tests to verify that expired segments are ignored
* Ignore expired segments in segment repairer and drop from repair queue
* Add repair test to verify that a segment that expires after being
added to the repair queue is ignored and dropped from the repair queue
Change-Id: Ib2b0934db525fef58325583d2a7ca859b88ea60d
* satellite: update log levels
Change-Id: I86bc32e042d742af6dbc469a294291a2e667e81f
* log version on start up for every service
Change-Id: Ic128bb9c5ac52d4dc6d6c4cb3059fbad73f5d3de
* Use monkit for tracking failed ip resolutions
Change-Id: Ia5aa71d315515e0c5f62c98d9d115ef984cd50c2
* fix compile errors
Change-Id: Ia33c8b6e34e780bd1115120dc347a439d99e83bf
* add request limit value to storage node rpc err
Change-Id: I1ad6706a60237928e29da300d96a1bafa94156e5
* we cant track storage node ids in monkit metrics so lets use logging to track that for expired orders
Change-Id: I1cc1d240b29019ae2f8c774792765df3cbeac887
* fix build errs
Change-Id: I6d0ffe058e9a38b7ed031c85a29440f3d68e8d47
* debug
* traces
* cfgstruct
* process
Package `storj/private/version` will be removed as a separate change.
Change-Id: Iadc40faa782e6225513b28218952f02d9c240a9f
more trustworthy downtime tracking
Detection chore: Do not update downtime at all from the detection chore.
We only want to include downtime between two explicitly failed ping attempts
(the duration between last contact success and the first failed ping is no longer
included in downtime calculation)
Estimation chore: If the satellite started after the last failed ping for a node,
do not include offline time since the last failed ping time - only
estimate based on two failed pings with no satellite downtime in
between.
This protects us from including satellite downtime in our storagenode downtime calculations.
Change-Id: I1fddc9f7255a7023e02474255d70c64faae75b8a
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
Core shouldn't be handling any repair load and we have already disabled it in production.
Let's make it official and remove it.
Change-Id: I46e236692a9164421648cfc974dd3246416b2e00
Currently we risk losing pending bandwidth rollup writes even on a clean
shutdown. This change ensures that all pending writes are actually
written to the db when shutting down the satellite.
Change-Id: Ideab62fa9808937d3dce9585c52405d8c8a0e703
this commit introduces the reported_serials table. its purpose is
to allow for blind writes into it as nodes report in so that we have
minimal contention. in order to continue to accurately account for
used bandwidth, though, we cannot immediately add the settled amount.
if we did, we would have to give up on blind writes.
the table's primary key is structured precisely so that we can quickly
find expired orders and so that we maximally benefit from rocksdb
path prefix compression. we do this by rounding the expires at time
forward to the next day, effectively giving us storagenode petnames
for free. and since there's no secondary index or foreign key
constraints, this design should use significantly less space than
the current used_serials table while also reducing contention.
after inserting the orders into the table, we have a chore that
periodically consumes all of the expired orders in it and inserts
them into the existing rollups tables. this is as if we changed
the nodes to report as the order expired rather than as soon as
possible, so the belief in correctness of the refactor is higher.
since we are able to process large batches of orders (typically
a day's worth), we can use the code to maximally batch inserts into
the rollup tables to make inserts as friendly as possible to
cockroach.
Change-Id: I25d609ca2679b8331979184f16c6d46d4f74c1a6
Remove starting up messages from peers. We expect all of them to start,
if they don't, then they should return an error why they don't start.
The only informative message is when a service is disabled.
When doing initial database setup then each migration step isn't
informative, hence print only a single line with the final version.
Also use shorter log scopes.
Change-Id: Ic8b61411df2eeae2a36d600a0c2fbc97a84a5b93
* change satellite.Peer name to Core
* change to Core in testplanet
* missed a few places
* keep shared stuff in peer.go to stay consistent with storj/docs
