25f8f678ab
For the storagenode usage graph currently, 1. the graph is still likely to contain spikes on the first day of the month for a newly setup storagenode because there's no previous interval_end_time to deduct from. 2. if a node goes offline for too long, say the last usage report in the storageusage cache has an interval_end_time of 2020-07-30 00:00:00+00:00 and later, it comes back online a few days later, it requests for the storage usage from the satellite starting from the current month, say 2021-01-01 00:00:00+00:00, the calculated hours for the first day would be 48 hours and it could be wrong because the cache is missing one day usage report. This PR addresses second issue on the storagenode side by requesting storage usage data, instead of just a month boundary, request for an interval starting from the last day of the previous month to the current day of the current month. The first one will be a tradeoff and wouldn't really matter since it will just be an issue on the first day the storagenode joined the satellite. Updates https://github.com/storj/storj/issues/4178 Change-Id: I041c56c412030ce013dd77dce11b0b5d6550927b |
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.. | ||
apikeys | ||
bandwidth | ||
collector | ||
console | ||
contact | ||
gracefulexit | ||
inspector | ||
internalpb | ||
monitor | ||
multinode | ||
nodestats | ||
notifications | ||
operator | ||
orders | ||
payouts | ||
pieces | ||
piecestore | ||
piecetransfer | ||
preflight | ||
pricing | ||
reputation | ||
retain | ||
satellites | ||
storagenodedb | ||
storageusage | ||
trust | ||
version | ||
peer.go |