Orders from storage nodes are received by SettlementWithWindowFinal method. There is a stream which receives all orders and after getting
all orders we are inserting into DB storagenode and bucket bandwidth. Problem is with bucket bandwidth which is stored through cache which is often using context from SettlementWithWindowFinal stream to perform DB inserts and its doing this in separate goroutine. Because of that is possible that SettlementWithWindowFinal is finished before flushing was finished and context is canceled while doing insert into DB
Change-Id: I3a72c86390e9aedc060f6b082bb059f1406231ee
Sorting by primary key before inserting data into DB is fixed.
Earlier we were sorting input slice of BucketBandwidthRollup but then
we were putting all entries into map to rollup input data. Iteration
over map with a range loop doesn't guarantee any specific order so we
were loosing sorted order when we were creating with this map slices to
use with DB insert.
New code is also using map but when map is full its sorting map keys
separately and iterates over them to get data from map.
https://github.com/storj/storj/issues/5332
Change-Id: I5bf09489b0eecb6858bf854ab387b660124bf53f
bucket_bandwidth_rollups table
We have performance problems with updating bucket_bandwidth_rollups. To
improve situation we can stop storing allocated bandwidth in this table.
This should reduce large number of updates which are comming from
metainfo endpoints, repair workers and audit.
Next step will be to drop `allocated` column completely from
bucket_bandwidth_rollups.
Allocated GET bandwidth is all we need and we are keeping it in
bucket_bandwidth_rollups table.
Change-Id: Ifdd26a89ba8262acbca6d794a6c02883ad0c0c9b
Currently the primary key of the underlying rollup table has the
primary key being the bucket name, but we used to sort by projectID.
This caused dead locks due to the contention during updates/inserts.
We should reevalute if bucket name being the primary key is the right
way for this table, this should stop the long running and failing attempts tho.
Change-Id: Ie7d0f86944da48ad9cbd92eb162226882a2fb954
Batching of the order submissions can lead to combining the allocated
traffic totals for two completely different time windows, resulting
in incorrect customer accounting. This change will group the batched
order submissions by projectID as well as time window, leading to
distinct updates of a buckets bandwidth rollup based on the hour
window in which the order was created.
Change-Id: Ifb4d67923eec8a533b9758379914f17ff7abea32
Populate the egress_dead column for taking into account allocated bandwidth that can be removed because orders have been sent by the storage nodes. The bandwidth not used in these orders can be allocated again.
Change-Id: I78c333a03945cd7330aec052edd3562ec671118e
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
