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
Currently our code is only using github version of the code, so there
shouldn't be need for the exception.
Change-Id: I0c6e8a8465ab7b525d4b5d1b29e4e5298384286d
This PR does follwing changes:
1. Change oldest uplink version in the test to v0.35.3
When the test is first created, we decided to support uplink
version starting from v0.17.1, however with many API changes,
older uplinks are not usable with latest version of the network
anymore. One of the reasons being older uplinks uses deprecated
endpoint. Therefore, we will change the oldest uplink version to
the one that's using only new endpoints.
2. Disable tls certificate verification in uplink
3. Use storj-sim version control server instead of production one
4. Skip uplink version v1.3.x due to bug in that release
Change-Id: I926a6bb9829cb7181ee752437cdcb67e59197fe0
This PR fixes below issues:
1. remove concurrent installation for various versions
We were doing this to decrease the amount of execution time the versions test.
However, it's returning incorrect exit code when there's an
installation failure.
Right now, we are only installing two versions of `storj-sim` and
the rest are only doing uplink cli installation. The performance of
this test should be hugely impacted by the setup step now.
2. only remove release settings instead of deleting the entire file
uplink CLI is referrencing `private/version` package. Therefore, we
cannot delete it
3. add back `GATEWAY_0_API_KEY` in storj-sim
In order to set up older version of uplink cli, we need access to
the gate way api key.
Change-Id: Ia3c37c197bd007b6e1f7c2bd71adde42181d46f0
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
branch
Currently, we are testing previous release version upgrading to latest
master on each master build
However, this behavior is only desired when the test is running on a
release branch.
Change-Id: Iaeb66f44951c9e4934ca3c8316d1e490d7958239
We are moving an error into rejectErr since its preventing storage nodes from being able to settle other orders.
Change-Id: I3ac97c340e491b127f5e0024c5e8bd9f4df8d5c3
We've had bizarre crashes for satellite and it's difficult to debug
stripped binaries. The only binary where stripping is useful, is uplink
cli. This change will increase uplink by 5MB.
Change-Id: I4d1dfd36452063c22e8471d99eec97f6de6167b8
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
Remove usage of --non-interactive flag. It is not provided (and
necessary) by the multitenant S3 gateway anymore.
ACCESS_KEY and SECRET_KEY env vars are not provided anymore as they are
not generated by the multitenant S3 gateway.
Change-Id: I3ecfb92110e31ae13977de3899dad273daae6c1e
We have configlock_test for checking changes so the separate script and
makefile target are not needed.
Change-Id: I2bbc1c21ad849c9b7ec8bba43c0e11e94e04f6a6
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
This PR updates `uplink rb --force` command to use the new libuplink API
`DeleteBucketWithObjects`.
It also updates `DeleteBucket` endpoint to return a specific error
message when a given bucket has concurrent writes while being deleted.
Change-Id: Ic9593d55b0c27b26cd8966dd1bc8cd1e02a6666e
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
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
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
