CRDB doesn't like large deletes. While testing in the POC environment we found that deletes on the serial_numbers table could take hours. This change limits deletes to 1000 at a time (configurable) to avoid blocking other queries.
Change-Id: I08455e25db1574579dd4d7b7125a08e9c913dff1
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
Make metainfo.RSConfig a valid pflag config value. This allows us to
configure the RSConfig as a string like k/m/o/n-shareSize, which makes
having multiple supported RS schemes easier in the future.
RS-related config values that are no longer needed have been removed
(MinTotalThreshold, MaxTotalThreshold, MaxBufferMem, Verify).
Change-Id: I0178ae467dcf4375c504e7202f31443d627c15e1
We are moving an error into rejectErr since its preventing storage nodes from being able to settle other orders.
Change-Id: I3ac97c340e491b127f5e0024c5e8bd9f4df8d5c3
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
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
WHAT:
notification bar added to project dashboard page. It is shown when projects count limit is reached.
Create project button is removed after creating last available project
WHY:
inform user that their projects count limit was reached
Change-Id: If0d67148003be40cc9eb4d8b25cc17f8204008d4
To prevent longlived unused connections, set the maximum time to 30 minutes to
prevent proxies and loadbalancers forcefully cutting the connection.
This helps in scenarios with low load/requests to a DB.
Change-Id: I7dba15ef97f6f6541e872a6fb1d3a9bbbfe5bb50
services
This PR adds a limiter on the amount of concurrent objects deletion can be handled so
we don't run out of memory.
Change-Id: Id2ce368af6f86845fcdfd34cb2f5e460efe9b272
Adds AuditHistory{WindowSize, TrackingPeriod, GracePeriod,
OfflineThreshold}. These values will be used to track offline audits over
time, and to suspend/disqualify nodes for being offline for too long.
Change-Id: I05f7dbc3c034bdc53c4fbd7719c71a44f37ec6a5
This adds a config flag orders.window-endpoint-rollout-phase
that can take on the values phase1, phase2 or phase3.
In phase1, the current orders endpoint continues to work as
usual, and the windowed orders endpoint uses the same backend
as the current one (but also does a bit extra).
In phase2, the current orders endpoint is disabled and the
windowed orders endpoint continues to use the same backend.
In phase3, the current orders endpoint is still disabled and
the windowed orders endpoint uses the new backend that requires
much less database traffic and state.
The intention is to deploy in phase1, roll out code to nodes
to have them use the windowed endpoint, switch to phase2, wait
a couple days for all existing orders to expire, then switch
to phase3.
Additionally, it fixes a bug where a node could submit a bunch
of orders and rack up charges for a bucket.
Change-Id: Ifdc10e09ae1645159cbec7ace687dcb2d594c76d
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
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
WHAT:
GTM added for partnered satellites sign up pages
csp values were extended to make GTM work at all:
1. googletagmanager.com for GTM script
2. google-analytics.com for GA script
3. hash was added to avoid using 'unsafe-inline' value in 'script-src' directive
Also config flag for GTM id was added
WHY:
Marketing team needs GTM and GA for their campaigns
Change-Id: Ibb2ace737feb971dda6c191599d479fe4a7af332
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
As the tables that get cleaned up by this job get a lot of inserts and deletes over the course of a day, the autovacuum process on PostgreSQL struggles fairly easily/quickly.
Due to its limitation, it can only delete 180,000,000 tuples in one go, before it has to rescan the entire table/index.
With the current load, the most busy satellites accumulate about 1,000,000,000 tuples per day (consumed_serials). With our current 24h interval that results in ~6-7 scans, slowing the entire database down for a quite long time.
This PR reduces the interval to 4 hours, which under a constant load, results in less than 180,000,000 entries per run.
That way, we do not scan twice for only a small gain over said amount. Reducing the interval further would also increase the DB load unnecessary, as each run scans the entire tables at least once.
For future reference, we might need to adjust the interval, if the load is significantly changing.
Change-Id: I18fdd45d93d468cff126e719c8380c29a49f43dd
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
WHAT:
1. updated verification page URL in config
2. added list of partnered satellites to config
3. added logic for satellites dropdown on new signup/login pages
WHY:
1. signup/login flow was reworked in tardigrade.io repo (iframe removed, new pages etc.)
2. new config flag was added to check if satellite name matches at least one member of partnered satellites list to redirect user to verification page
3. new pages will have dropdown with partnered satellites list. Appropriate logic was added.
Change-Id: I33399ab66ca31f07b297a433f6b1f41da4cb6e66
The current satellite config lock code relies on bash scripts and
gnu diff, it must be run as root and hence it typically requires
docker. The old version will be removed at a later date..
I tried for several hours to run directly against cmdSetup() in
cmd/satellite/main.go, to avoid the ctx.Compile() call. I had no
luck.
Change-Id: I0a4888421e743b436d32b6af69d04759d7816751
Also distinguish the purpose for selecting nodes to avoid potential
confusion, what should allow caching and what shouldn't.
Change-Id: Iee2451c1f10d0f1c81feb1641507400d89918d61
Add a flag that allows us to easily switch disqualification from
suspension mode on or off. A node will only be disqualified from
suspension mode if it has been suspended for longer than the grace
period AND the SuspensionDQEnabled flag is true.
Change-Id: I9e67caa727183cd52ab2042b0a370a1bcaebe792
Previously we are using tracing.sampled to be the switch for turning on/off tracing.
However we would like to separate sampling rate from being the switch,
so we can set sampling rate to be 0 but still intialize tracing for
satellite and storagenodes
Change-Id: I27e6ba25ea6f6b612b4e1a57cf1301889ded41ec
Added a per IP rate limiter to the console web.
Cleaned up password check to leak less bcyrpt info.
Change-Id: I3c882978bd8de3ee9428cb6434a41ab2fc405fb2
If a node is suspended and receives an unknown or failing audit,
disqualify them if the grace period (default 1w in production) has
passed.
Migrate the nodes table so any node that is currently suspended gets
unsuspended when the satellite starts up.
Change-Id: I7b81c68026f823417faa0bf5e5cb5e67c7156b82
* 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
Alpha=1 and beta=0 are the expected first values for any alpha/beta
reputation system we are using in the codebase. So we are removing the
configurability of these values.
Change-Id: Ic61861b8ea5047fa1438ea6609b1d0048bf0abc3
We want to increase our throughput for downtime estimation. This commit
adds the ability to reach out to multiple nodes concurrently for downtime
estimation. The number of concurrent routines is determined by a new config
flag, EstimationConcurrencyLimit. It also increases the default
EstimationBatchSize to 1000.
Change-Id: I800ce7ec1035885afa194c3c3f64eedd4f6f61eb
BeginObject response
We want to control inline segment size and segment size on satellite
side. We need to return such information to uplink like with redundancy
scheme.
Change-Id: If04b0a45a2757a01c0cc046432c115f475e9323c
Add flag to satellite repairer, "InMemoryRepair" that allows the
satellite to decide whether to download the entire segment being
repaired into memory (this is what the satellite already does), or to
download it into temporary files on disk that will be read from in the
upload phase of repair.
This should help with handling high repair traffic on satellites that
cannot afford to spend 64mb of memory per repair worker.
Updates tests to test repair for both in memory and to disk.
Change-Id: Iddf591e165621497c98533d45bfea3c28b08a194
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
rationale: if GC kills the satellite, it would be nice to make
it through a repair checker sweep first
Change-Id: Id56171dc8e13940cfb6481e36a910bad077a01ed
rate
Graceful exit is very slow at the moment. Over the last couple days we
increase the batch size on Stefans satellite to 1000 but as a side
effect the error rate was increased. With a batch size of 500 the error
rate looks stable.
This PR will increase the default to batch size to 300. Graceful exit
will still be painful slow but at least it will be a bit faster. At the
same time this PR also increases the number of errors we tolerate. We
don't want to DQ slow storage nodes just because they didn't finish all
300 transfers in time. We want to give them more retries.
Change-Id: I92e3f99e116d4988457d8b902a88e85ed1bcc1a7
Currently SNs report their free disk space once per hour. If a node
becomes full, it has to wait until the next contact cycle begins to
report; all the while receiving and failing upload requests. By increasing
the minimum required disk space, we can give the storage nodes more time
to report their space before the completely fill up. This change goes
hand-in-hand with another change we want to implement: trigger capacity
report on SN immediately upon falling below threshold.
Change-Id: I12f778286c6c3f582438b0e2949765ac43325e27
Control Panel allows to control different chores and services.
Currently this adds controlling of cycles.
Change-Id: I734f1676b2a0d883b8f5ba937e93c45ac1a9ce21
Allow rate limit project cache to expire so we can make project level rate limit changes without restarting the satellite process.
Change-Id: I159ea22edff5de7cbfcd13bfe70898dcef770e42
For the last few month we had no issues with order submission. I would
call it stable and now it is time to risk a lower expire time. This will
increase the database performance on the satellite and it will reduce
the delay for billing.
The long term goal is 6h but for that step we need to change graceful
exit first. At the moment storage nodes would get disuqlaified for not
transfering alle pieces in less than 6 hours.
Change-Id: I421a2c2421c5374c4e706e2338f1c2161fedc14c
With this change RS configuration will be set on satellite. Uplink with
get RS values with BeginObject request and will use it. For backward
compatibility and to avoid super large change redundancy scheme stored
with bucket is not touched. This can be done in future.
Change-Id: Ia5f76fc10c37e2c44e4f7b8754f28eafe1f97eff
Limits how many times metainfo APIs can be called per second by project ID. If limit is exceeded, the API will return Unauthorized/Too Many requests.
Limit per second and the size of the limiter cache per project are configurable, as well as whether the limiter is enabled.
Tests added/updated for the new rate_limit field in projects table.
Tests added for exceeding limits and disableing limiter.
Change-Id: Ic8ad102de3b690a475809d4f684156d5715f20fa
live accounting used to be a cache to store writes before they are picked up during
the tally iteration, after which the cache is cleared. This created a window in which
users could potentially exceed the storage limit. This PR refactors live accounting to
hold current estimations of space used per project. This should also reduce DB load
since we no longer need to query the satellite DB when checking space used for limiting.
The mechanism by which the new live accounting system works is as follows:
During the upload of any segment, the size of that segment is added to its respective
project total in live accounting. At the beginning of the tally iteration we record
the current values in live accounting as `initialLiveTotals`. At the end of the tally
iteration we again record the current totals in live accounting as `latestLiveTotals`.
The metainfo loop observer in tally allows us to get the project totals from what it
observed in metainfo DB which are stored in `tallyProjectTotals`. However, for any
particular segment uploaded during the metainfo loop, the observer may or may not
have seen it. Thus, we take half of the difference between `latestLiveTotals` and
`initialLiveTotals`, and add that to the total that was found during tally and set that
as the new live accounting total.
Initially, live accounting was storing the total stored amount across all nodes rather than
the segment size, which is inconsistent with how we record amounts stored in the project
accounting DB, so we have refactored live accounting to record segment size
Change-Id: Ie48bfdef453428fcdc180b2d781a69d58fd927fb
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
With the new storage node downtime tracking feature, we need remove current uptime reputation configs: UptimeReputationAlpha, UptimeReputationBeta, and
UptimeReputationDQ. This is the first step of removing the uptime
reputation columns from satellitedb
Change-Id: Ie8fab13295dbf545e33aeda0c4306cda4ba54e36
We don't want slowloris nodes to be able to indefinitely block
up the satellite, so add a timeout. Some monitoring inspection
showed the largest success times being on the order of 30s, so
a 1min timeout should be sufficient to kill the misbehaving nodes.
Change-Id: I5e2c3480a15f6304e37262d0a4d30d07eae99bb3
As per discussed we decided to rate limit how fast we iterate through
the metainfo database in the metainfo loop. This puts in place a
mechanism for rate limiting and burst limiting if need be in the future.
The default for this rate limiting is still no limits so it stays the
same as our previous functionality.
Change-Id: I950f7192962b0e49f082d2c4284e2d52b0a925c7
