We want to stop using the serial_numbers table in satelliteDB. One of the last places using the serial_numbers table is when storagenodes settle orders, we look up the bucket name and project ID from the serial number from the serial_numbers table.
Now that we have support to add encrypted metadata into the OrderLimit, this PR makes use of that and now attempts to read the project ID and bucket name from the encrypted orderLimit metadata instead of from the serial_numbers table. For backwards compatibility and to ensure no errors, we will still fallback to the old way of getting that info from the serial_numbers table, but this will be removed in the next release as long as there are no errors.
All processes that create orderLimits must have an orders.encryption-keys set. The services that create orderLimits (and thus need to encrypt the order metadata) are the satellite apiProcess, the repair process, audit service (core process), and graceful exit (core process). Only the satellite api process decrypts the order metadata when storagenodes settle orders. This means that the same encryption key needs to be provided in the config for the satellite api process, repair process, and the core process like so:
orders.include-encrypted-metadata=true
orders.encryption-keys="<"encryptionKeyID>=<encryptionKey>"
Change-Id: Ie2c037971713d6fbf69d697bfad7f8b672eedd66
This change is adjusting metainfo endpoint to use metabase for uploading
and downloading remote objects. Inline segments will be added later.
Change-Id: I109d45bf644cd48096c47361043ebd8dfeaea0f3
We shouldn't have any EOF issues with recent drpc fix, let's reenable
and see whether it's still flaky.
Change-Id: I0de312bcb087c7f70ec9d3281d73d86f971845d5
Jira: https://storjlabs.atlassian.net/browse/PG-69
There are a number of segments with piece_hashes_verified = false in
their metadata) on US-Central-1, Europe-West-1, and Asia-East-1
satellites. Most probably, this happened due to a bug we had in the
past. We want to verify them before executing the main migration to
metabase. This would simplify the main migration to metabase with one
less issue to think about.
Change-Id: I8831af1a254c560d45bb87d7104e49abd8242236
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
This PR changes DeleteBucket to be able to delete all objects within a
bucket if `DeleteAll` is set in `BucketDeleteRequest`.
It also changes `DeleteBucket` API to treat `ErrBucketNotFound` as a
successful delete operation instead of returning an error back to the
client.
Change-Id: I3a22c16224c7894f2d0c2a40ba1ae8717fa1005f
This adds the unimplemented GetObjectIPs method to metainfo endpoint so
we can import new common protobuf definitions.
Change-Id: I154f26baccb6bb3c66de3eb25611930545c9754b
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
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
This allows to seeing logs in the output of the invoice commands.
Existing ensure-stripe-customer commands is moved from the 'reports' to
the new 'billing' root command.
Change-Id: I752c7ab6ca59bfac8e0f174a45d2ab45fc18e467
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
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
when tracing is enabled, we should also set sampling rate to
a non-zero value. For now, we will set it to 1.
Uplink CLI users should be able to override it with the sample
flag.
Change-Id: I8bcf514fb14c2a1c4349b7957dd24ec23e4a85e5
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
When we receive a piece deletion request, include the number of piece
IDs we couldn't add to the queue in the reponse
Change-Id: Ibebbe92ac50105bb5c74b18211ed38d468eb33f3
Automatically attach attribution information to bucket during
BeginObject or CreateBucket when the UserAgent is set.
Change-Id: I405cb26c5a2f7394b30e3f2cf5d2214c8781eb8b
* Add migration to storagenode reputation table to add suspended
timestamp
* Send suspended info to storagenode from satellite nodestats endpoint
* Add suspended status to storagenode api
* Add an indicator on the storagenode dashboard informing operator of
the satellites the node is suspended on
Change-Id: Ie3669f6069cc0258ba76ec99d17006e1b5fd9c8a
size with BeginObject
Such solution will add one round trip to satellite during upload so for
now we are reverting this until we will have solution for this.
Change-Id: Ic2d826448ab7b0318cd6922df05deee9167cf2f0
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
uuid.UUID implements driver.Value so it can be directly used as a
scannable result.
Replace uses of dbutil.BytesToUUID with uuid.FromBytes.
Change-Id: I51a670185ceb3cc2199d5aa2b76bc3fc191ca8fe
This will help to determine how many grpc calls are made to the
satellite.
Also remove the grpc funcs that have been added to upstream.
Change-Id: I91878f4fd10f9bfe601c94222c102eaaf4d35963
* debug
* traces
* cfgstruct
* process
Package `storj/private/version` will be removed as a separate change.
Change-Id: Iadc40faa782e6225513b28218952f02d9c240a9f
Switch back to the original DeleteBucket and DeleteObject methods.
Next step: remove the DeleteBucketReturnDeleted and
DeleteObjectReturnDeleted from storj.io/uplink.
Change-Id: I273a305326d411e51ce354ce72fcc6ecadf4dd5f
step 1 in https://review.dev.storj.io/c/storj/uplink/+/1236
Now the old libuplink uses the temporary DeleteBucketReturnDeleted and
DeleteObjectReturnDeleted methods. This way, in the next step, we will
be able to change the DeleteBucket and DeleteObject methods to return
the deleted bucket/object.
Change-Id: I2e638be1960bca6ce1456c92849fcdd6d93e5252
The admission/v3 protocol now supports arbitrary key/value headers to be
included in each packet of metrics. This commit creates support for
this, so the lua config file can declare a filter taking into account
the key/value headers.
Change-Id: I41de8c018d33304ccf46ec221ae689d55c5fb1ee
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
common/pb moved grpc to a separate package common/pb/pbgrpc.
This updates this repository to use it.
Change-Id: I2de2a190688871cf9cb61f7ea511f8a01e264e4e
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
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
we want to return back to the user as quick as possible but also keep
deleting remaining pieces on the storagenodes
Change-Id: I04e9e7a80b17a8c474c841cceae02bb21d2e796f
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
it was noticed that if you had a long lived transaction A that
was blocking some other transaction B and A was being aborted
due to retriable errors, then transaction B was never given
priority. this was due to using savepoints to do lightweight
retries.
this behavior was problematic becaue we had some queries blocked
for over 16 hours, so this commit addresses the issue with two
prongs:
1. bound the amount of time we will retry a transaction
2. create new transactions when a retry is needed
the first ensures that we never wait for 16 hours, and the value
chosen is 10 minutes. that should be long enough for an ample
amount of retries for small queries, and huge queries probably
shouldn't be retried, even if possible: it's more preferrable to
find a way to make them smaller.
the second ensures that even in the case of retries, queries that
are blocked on the aborted transaction gain priority to run.
between those two changes, the maximum stall time due to retries
should be bounded to around 10 minutes.
Change-Id: Icf898501ef505a89738820a3fae2580988f9f5f4
We move PathCipher to encryption.Store and we need to adjust
storj/uplink for those changes. Uplink repo is also using libuplink to
run tests so we need first adjust storj/storj libuplink and later
storj/uplink.
Change-Id: I84f23e6bad18ac139f72c19939dc526f9f46d88b
