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d284ffab03
The fpIter was kind of cumbersome to use and required a lock for each iteration (which wasn't even needed for the iteration at startup after loading the checkpoint). The new implementation here has an obvious penalty in memory, but it's only 8 byte per series, so 80MiB for a beefy server with 10M memory time series (which would probably need ~100GiB RAM, so the memory penalty is only 0.1% of the total memory need). The big advantage is that now series maintenance happens in order, which leads to the time between two maintenances of the same series being less random. Ideally, after each maintenance, the next maintenance would tackle the series with the largest number of non-persisted chunks. That would be quite an effort to find out or track, but with the approach here, the next maintenance will tackle the series whose previous maintenance is longest ago, which is a good approximation. While this commit won't change the _average_ number of chunks persisted per maintenance, it will reduce the mean time a given chunk has to wait for its persistence and thus reduce the steady-state number of chunks waiting for persistence. Also, the map iteration in Go is non-deterministic but not truly random. In practice, the iteration appears to be somewhat "bucketed". You can often observe a bunch of series with similar duration since their last maintenance, i.e. you see batches of series with similar number of chunks persisted per maintenance. If that batch is relatively young, a whole lot of series are maintained with very few chunks to persist. (See screenshot in PR for a better explanation.) |
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| chunk | ||
| codable | ||
| fixtures/b0 | ||
| index | ||
| storagetool | ||
| crashrecovery.go | ||
| heads.go | ||
| instrumentation.go | ||
| interface.go | ||
| locker.go | ||
| locker_test.go | ||
| mapper.go | ||
| mapper_test.go | ||
| noop_storage.go | ||
| persistence.go | ||
| persistence_test.go | ||
| series.go | ||
| series_test.go | ||
| storage.go | ||
| storage_test.go | ||
| test_helpers.go | ||