With the new phase 3 order submission, orders can be added to the
storage and bandwidth rollup tables at timestamps before the most recent
rollup was run. This change shifts the start time of each new rollup
window to account for any unexpired orders that might have been added
since the previous rollup.
A satellitedb migration is necessary to allow upserts in the
accounting_rollups table when entries with identical node_ids and
start_times are inserted.
Change-Id: Ib3022081f4d6be60cfec8430b45867ad3c01da63
We plan to add support for a new Reed-Solomon scheme soon, but our
repair queue orders segments by least number of healthy pieces first.
With a second RS scheme, fewer healthy pieces will not necessarily
correlate to lower health.
This change just adds the new column in a migration. A separate change
will add the new health function.
Right now, since we only support one RS scheme, behavior will not
change. Number of healthy pieces is being inserted as "segment health"
until the new health function is merged.
Segment health is calculated with a new priority function created in
commit 3e5640359. In order to use the function, a new config value is
added, called NodeFailureRate, representing the approximate probability
of any individual node going down in the duration of one checker run.
Change-Id: I51c4202203faf52528d923befbe886dbf86d02f2
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
With the new overlay.AuditOutcome type for offline audits, the
IsUp field is redundant. If AuditOutcome != AuditOffline, then
the node is online.
In addition to removing the field itself, other changes needed
to be made regarding the relationship between 'uptime' and 'audits'.
Previously, uptime and audit outcome were completely separated. For
example, it was possible to update a node's stats to give it a
successful/failed/unknown audit while simultaneously indicating that
the node was offline by setting IsUp to false. This is no longer possible
under this changeset. Some test which did this have been changed slightly
in order to pass.
Also add new benchmarks for UpdateStats and BatchUpdateStats with different
audit outcomes.
Change-Id: I998892d615850b1f138dc62f9b050f720ea0926b
- Remove flag for switching off offline audit reporting.
- Change the overlay method used from UpdateUptime to BatchUpdateStats, as this
is where the new online scoring is done.
- Add a new overlay.AuditOutcome type: AuditOffline. Since we now use the same
method to record offline audits as success, failure, and unknown, we need to
distinguish offline audits from the rest.
Change-Id: Iadcfe10cf13466fa1a1c2dc542db8994a6423355
This fixes a slow query that was taking up to 4 seconds in production
SELECT node_id, path, piece_num, root_piece_id, durability_ratio, queued_at, requested_at, last_failed_at, last_failed_code, failed_count, finished_at, order_limit_send_count
FROM graceful_exit_transfer_queue
WHERE node_id = '[redacted]'
AND finished_at is NULL
AND last_failed_at is NULL
ORDER BY durability_ratio asc, queued_at asc LIMIT 300 OFFSET 0;
Change-Id: Ib89743ca35f1d8d0a1456b20fa08c683ebdc1549
Use tagsql.DB pointer as step database, to propagate changes
back and forth between actual database and migration.
Adds CreateDB operation to the migration step to be able to
create new dbs before executing migration action.
Adjusts storagenode database migration to use inner tagsql.DB
pointer of each database as step.DB.
Adjusts satellite dabase migration, adds proxy migrationDB field
to satellite db that wraps itself as tagsql.DB, pointer of which
is used as step.DB.
Change-Id: Ifed4de5b01a356cf7b37db64d2eaeb7b61982c5c
This change completes the column migration of
5f6fccc6e8 and
2f648fd981.
It resets every users project limits who are below or equal to our
current production defaults.
Change-Id: Ie041d08bb67b62844f6023190fc00bc2dad5b1cb
Doing it at the ProcessOrders level was insufficient: the endpoints
make multiple database calls. It was a misguided attempt to only
have one spot enter the semaphore. By putting it in the endpoint
we can not only be sure that the concurrency is correctly limited
but it can be configurable easily.
Change-Id: I937149dd077adf9eb87fce52a1a17dc0afe96f64
we have thundering herds of order submissions that take all of the
database connections causing temporary periodic outages. limit
the amount of concurrent order processing to 2.
Change-Id: If3f86cdbd21085a4414c2ff17d9ef6d8839a6c2b
Previously if a node did not have audit history data for each of the
windows over the tracking period, we would give them the benefit of
the doubt and set their score to 1. This was to prevent nodes from
being suspended right out the gate. We need a minimum amount of data
to evaluate them.
However, a node who is actually failing at being online will have no
idea until they have received enough audits and we suspend them.
Instead, we will always use their real score, but use a flag to determine
whether they are eligible for suspension/dq.
Change-Id: I382218f12e8770f95d4bcddcf101ef348940cadf
Repair workers prioritize the most unhealthy segments. This has the consequence that when we
finally begin to reach the end of the queue, a good portion of the remaining segments are
healthy again as their nodes have come back online. This makes it appear that there are more
injured segments than there actually are.
solution:
Any time the checker observes an injured segment it inserts it into the repair queue or
updates it if it already exists. Therefore, we can determine which segments are no longer
injured if they were not inserted or updated by the last checker iteration. To do this we
add a new column to the injured segments table, updated_at, which is set to the current time
when a segment is inserted or updated. At the end of the checker iteration, we can delete any
items where updated_at < checker start.
Change-Id: I76a98487a4a845fab2fbc677638a732a95057a94
Currently Cockroach migration test is the most heavy with regards to
schema changes. This causes other tests to time out. This adds an
alternate cockroach instance that is used for migration tests.
Change-Id: I01fe9313527ff002f0bb0914dd52c3645b8eaf6d
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
Our current endpoints bail on us, if the column data is null. Thus we need
to take the intermediate step and set the default to a fixed value and
reset those with the following release.
It sets the default column value to our current config values of 50GB
for storage and bandwidth and 100 buckets, while still enabling the field to be nullable.
All 0 values are migrated to be the default as well to ensure they can
keep using their projects, as with the original change, 0 actually means 0.
Change-Id: I797be80ce2d2105091599dc1b3fc76f74336b66b
Currently we have no way to actually set one
of the following limits to 0 (meaning not usable):
- maxBuckets
- usageLimit
- bandwidthLimit
With having the field nullable,
NULL corresponds to the global default,
0 now actually 0 and
a set value determines a custom limit.
Change-Id: I92bb77529dcbd0881ae8368921be9d246eb0919e
Another change which is a part of refactoring to replace path parameter
(string/[]byte) with key paramter (metabase.SegmentKey)
Change-Id: I617878442442e5d59bbe5c995f913c3c93c16928
Additionally, this PR changes NewNodeFraction devDefault and testplanet config from 0.05 to 1.
This is because many tests relied on selecting nodes that were reputable based on audit and uptime
counts of 0, in effect, selecting new nodes as reputable ones.
However, since reputation is now indicated by a vetted_at db field that is explicitly set
rather than implied by audit and uptime counts, it would be more complicated to try to
update all of the nodes' reputations before selecting nodes for tests.
Now we just allow all test nodes to be new if needed.
Change-Id: Ib9531be77408662315b948fd029cee925ed2ca1d
metabaseSegmentKey` TransferQueueItem
We are unifying which name (and type) we are using for value we are
using to point to segment. We want to use `key` instead of `path`.
Dedicated type `metabase.SegmentKey` was created for this purposes also.
This change is doing refactoring around gracefulexit.
Change-Id: I90d51ff087b206179e61d5f1bc95f4709d76f917
Add online score used for the new audit history offline tracking system
to the nodes table. This allows us easy access to the node's online
score for the storagenode dashboard as well as for data analysis.
Change-Id: Ie99be1192e5236862a5b3dbed2e5ef03b9169410
When a node's audit history "online score" passes below a configured
threshold, the node goes into "offline suspension" mode and begins a
review period, where the operator is given an opportunity to bring their
node back online.
After the review period passes, offline suspension is turned off for the
node.
In the future, if a node still has a bad online score at the end of the
review period, it will be disqualified. This is disabled right now.
In the future, if a node is in offline suspension, it will be treated as
"unhealthy". Right now, there are no consequences for being in offline
suspension.
Minor changes:
* Moves AuditHistoryConfig out of UpdateStats/BatchUpdateStats args and
into UpdateRequest.
* Adds "now" argument to UpdateStats/BatchUpdateStats args for easy
testing.
* Changes formatting strings inside buildUpdateStatement to use specific
types.
Change-Id: I032b60298840fc16e6ef831da750f2d57619a397
Jenkins has been failing a lot lately due to test timeouts with CockroachDB.
TestMigrateCockroach previously took around 5 minutes, now it takes 2.
Why 103? I couldn't get 100 to work due to an error w/ NOT NULL and PKs.
Change-Id: Iec95d4e25f9d6cd36920e7f43272c486a17fa879
Add a function to the overlay cache called UpdateAuditHistory, which
allows us to add online or offline audits to a particular node's audit
history, and get that node's "online score" for the configured tracking
period.
The next step will be to use UpdateAuditHistory from inside
BatchUpdateStats/UpdateStats, so that audit history is actually updated
when nodes get audited, and we can suspend nodes based on their online
score.
Change-Id: I2289105e6961e68e829a987ff756b0e576fab120
When investigating a gap in storage usage data in the SN dashboard, I noticed that there were 2 entries in the accounting_rollups table on the date of the gap.
This change accounts for multiple entries in the accounting_rollups table for a given day.
Change-Id: Ibf2b5d0455117cb0417163e8fcfb7e509d594171
It's an obsolete table from earlier state of Stripe invoices
implementation. No code is currently using it. It is confirmed that this
table is currently empty across all satellites.
Change-Id: I12d2756578faf8418ea8f3b09088e885694b8925
Jira: https://storjlabs.atlassian.net/browse/USR-822
This the last step of dropping these 2 db tables. It also deletes all
code associate with them.
Change-Id: I8be840dc2a7be255cf6308c9434b729fe4d9391e
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
I introduced a bug with https://review.dev.storj.io/c/storj/storj/+/2216
Because the log change allowed insert to be called multiple times.
This changes the insert logic to do nothing if the PK already exists.
Change-Id: I90d192a0f6619bfbb360ea104066f00a3348f6dd
We are adding a monkit evaluation for the total sum of data stored on
the nodes before it is inserted into the database. This will give us a
time-series history of total data stored so we can see it change over
time.
Change-Id: I41145a2d7a09c8e63b42ae578bd081035b60e529
This change switches the backend logic to use the new DB column on the users table to restrict project creation.
Furthermore it back fills the existing limits from registration tokens to the new column to ensure no users are reset to the new default.
UI is updated to reflect ability to create several projects
Change-Id: Ie29157430ae6b065411ca4c4557c9f1be69cdc4f
Why: We need a way to cut down on database traffic due to bandwidth
measurement and tracking.
What: This changeset is the Satellite side of settling orders in 1 hr windows.
See design doc for more details: https://review.dev.storj.io/c/storj/storj/+/1732
Change-Id: I2e1c151e2e65516ebe1b7f47b7c5f83a3a220b31
What:
Use the github.com/jackc/pgx postgresql driver in place of
github.com/lib/pq.
Why:
github.com/lib/pq has some problems with error handling and context
cancellations (i.e. it might even issue queries or DML statements more
than once! see https://github.com/lib/pq/issues/939). The
github.com/jackx/pgx library appears not to have these problems, and
also appears to be better engineered and implemented (in particular, it
doesn't use "exceptions by panic"). It should also give us some
performance improvements in some cases, and even more so if we can use
it directly instead of going through the database/sql layer.
Change-Id: Ia696d220f340a097dee9550a312d37de14ed2044
STORJ_POSTGRES_TEST naming was not consistent with STORJ_SIM_POSTGRES.
This allows to use STORJ_TEST_POSTGRES for clarity, it still has a
fallback to STORJ_POSTGRES_TEST.
Change-Id: I6f294c66c80fcfd6750fea2a89795f3b7f5dd691
This system tracks an abstract "api version" from nodes based on
their usage, allowing us to have latching behavior where if a node
ever uses a new api, it can be blocked from using the old api.
This is better than using self-reported semver version information
because the node cannot lie, there's no confusion about what semver
version implies which features, no questions about dev and ci
environments, and no dependencies between reporting the version
and using the new api.
Change-Id: Ifeced5c9ae8e0a16102d79635e176a7d3bdd8ed4
Apply the coin payments when CoinPayments.net recieves the funds
Instead of the when STORJ gets them from CoinPayments.net
Based on 7/1/20 User Growth standup guidance by JG
Relates to: https://storjlabs.atlassian.net/browse/USR-801
Change-Id: I174ca23a585010f39464c45525e1dfe0179b7c1a
Since we increased the number of concurrent audit workers to two, there are going
to be instances of a single node being audited simultaneously for different segments.
If the node times out for both, we will try to write them both to the pending audits
table, and the second will return an error since the path is not the same as what
already exists. Since with concurrent workers this is expected, we will log the
occurrence rather than return an error.
Since the release default audit concurrency is 2, update testplanet default to run with
concurrent workers as well.
Change-Id: I4e657693fa3e825713a219af3835ae287bb062cb
Use a field to distinguish migration steps that need to use a
different transaction from previous steps. This is clearer than
using a func.
Change-Id: I2147369d05413f3e8ddb50c71a46ab1ba3ab5114
When a request comes in on the satellite api and we validate the
macaroon, we now also check if any of the macaroon's tails have been
revoked.
Change-Id: I80ce4312602baf431cfa1b1285f79bed88bb4497
add new columns `offline_suspended` and `under_review` to nodes table.
`unknown_audit_suspended` is a new column which will replace `suspended`
Change-Id: I22ddeb338ea0ff63f14332a7ebd0f3e9e4c06cdc
We should not be sending any type of orders to nodes that have completed
graceful exit with the current satellite. In particular, we should not
be trying to audit them, because that would be silly.
Change-Id: Ie2153e5739914ab696feefcdef28545ed70f84e4
Since we increased the number of audit workers from 1 to 2, we need to make sure
concurrent updates do not trample each other. We can do this by serializing the
transactions.
Change-Id: If1b2f71cabe3c779c12ffa33c0c3271778ac3ae0
This ensures that rows are closed to avoid leaks.
Also verifies that Err() is called, to ensure that no
error is left behind.
Change-Id: Idd1bec9bf479f40021da67b2c80ce83033149469
The DB query in GetAllocatedBandwidthTotal uses an exclusive range:
'WHERE interval_start > ?'
The value that is used for this condition is the first day of current the month,
00:00:00 UTC.
By using the exclusive '>', we exclude the entire first hour of the month from the
result set.
Change-Id: I3ed300f5230c7514dc9495a85e8166213cd0842e
this way we don't have to do 2 steps, and by using the ctid, postgres
is going to do two very efficient prefix scans.
Change-Id: Ia9d0546cdf0a1af67ceec9cd508d336a5fdcbdb9
also remove the continuation support from the queue, otherwise
we may end up sequential scanning the entire table to get
a few rows at the end.
then, in the core, instead of looping both to get a big enough
batch inside of the queue, as well as outside of it to ensure
we consume the whole queue, just get a single batch at a time.
also, make the queue size configurable because we'll need to
do some tuning in production.
Change-Id: If1a997c6012898056ace89366a847c4cb141a025
In jaeger, it shows that this function gets called repetitively in
a single request. Most of the time, it's less than 1ms. Therefore, it
doesn't add much value in our trace but create noises.
Change-Id: I20234f36bbcf0fc22f91e5e1a5634c0cad577ed0
struct
This change is removing ProjectID from code. Next change will be about
dropping this colum from DB table.
Change-Id: Idb949e2829e2c304a2b6b011259c7cc7667082e1
the initial calculations for the historical values of comp_at_rest
were wrong. because our historical data only included total amounts
as well as compensation for bandwidth, the at rest value was
calculated as
at_rest = total - bandwidth
unfortunately, that calculation did not take surge pricing into
account correctly. the at rest and bandwidth values do not
include surge pricing, but the total that was used did. so what
we actually calculated was
no_surge_at_rest = surge_total - no_surge_bandwidth
which will create a value that is too large. this migration
fixes the calculation for imports that are old enough and
of a non-negligable difference.
Change-Id: I61eb0b670510f6d7fb8fc3de39ba79150fac10eb
* add monkit stat new_remote_segments_needing_repair, which reports the
number of new unhealthy segments in the repair queue since the previous
checker iteration
Change-Id: I2f10266006fdd6406ece50f4759b91382059dcc3
This attempts to add a README.md to help create consistent migrations
that maximize our test coverage and do not include unnecessary
statements.
It also adds a feature to have an `-- OLD DATA --` section as well
as a `-- NEW DATA --` section so that we can fix mistakes made in
previous snapshots (like a row that was forgotten to be added when a
table was created) without editing them going forward.
Change-Id: I28a786f8ef163cae1de1bb08f61af1e1104b0a88
What: As soon as a node passes the vetting criteria (total_audit_count and total_uptime_count
are greater than the configured thresholds), we set vetted_at to the current timestamp.
Why: We may want to use this timestamp in future development to select new vs vetted nodes.
It also allows flexibility in node vetting experiments and allows for better metrics around
vetting times.
Please describe the tests: satellitedb_test: TestUpdateStats and TestBatchUpdateStats make sure vetted_at is set appropriately
Please describe the performance impact: This change does add extra logic to BatchUpdateStats and UpdateStats and
commits another variable to the db (vetted_at), but this should be negligible.
Change-Id: I3de804549b5f1bc359da4935bc859758ceac261d
To avoid including multiple months in a single invoice, we need all
inspector's invoice commands to run in for specific period.
See https://storjlabs.atlassian.net/browse/USR-725
Change-Id: I3637dc189234f02350daca8d897c21765762ea55
There is a subtle problem when one does a cast with `::date`. Observe:
teststorj=# set timezone = 'US/Eastern';
SET
teststorj=# select (timestamp with time zone '2020-02-01 00:00:00+00')::date;
date
------------
2020-01-31
(1 row)
teststorj=# set timezone = 'UTC';
SET
teststorj=# select (timestamp with time zone '2020-02-01 00:00:00+00')::date;
date
------------
2020-02-01
(1 row)
In order to correctly determine the date a timestamp is in, one has to
explicitly pick the time zone that the date truncation should use
otherwise postgres will use whatever setting the client has. These
tests were failing for me locally, because I run my postgres in
the US/Eastern time zone to try to tickle these bugs out. So it
should be `(x at time zone 'UTC')::date` instead of just `x::date`.
Change-Id: I4e9e32d4b53abc6165a4d0474f4702f8b9f801c7
