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Support pro-actively erasing obsolete block cache entries
Summary: Currently, when files become obsolete, the block cache entries associated with them just age out naturally. With pure LRU, this is not too bad, as once you "use" enough cache entries to (re-)fill the cache, you are guranteed to have purged the obsolete entries. However, HyperClockCache is a counting clock cache with a somewhat longer memory, so could be more negatively impacted by previously-hot cache entries becoming obsolete, and taking longer to age out than newer single-hit entries. Part of the reason we still have this natural aging-out is that there's almost no connection between block cache entries and the file they are associated with. Everything is hashed into the same pool(s) of entries with nothing like a secondary index based on file. Keeping track of such an index could be expensive. This change adds a new, mutable CF option `uncache_aggressiveness` for erasing obsolete block cache entries. The process can be speculative, lossy, or unproductive because not all potential block cache entries associated with files will be resident in memory, and attempting to remove them all could be wasted CPU time. Rather than a simple on/off switch, `uncache_aggressiveness` basically tells RocksDB how much CPU you're willing to burn trying to purge obsolete block cache entries. When such efforts are not sufficiently productive for a file, we stop and move on. The option is in ColumnFamilyOptions so that it is dynamically changeable for already-open files, and customizeable by CF. Note that this block cache removal happens as part of the process of purging obsolete files, which happens in a background thread rather than along any CPU critical paths. Notable auxiliary code details: * Possibly fixing some issues with trivial moves with `only_delete_metadata`: unnecessary TableCache::Evict in that case and missing from the ObsoleteFileInfo move operator. * Remove suspicious TableCache::Erase() from VersionSet::AddObsoleteBlobFile() (TODO follow-up item) Marked EXPERIMENTAL until more thorough validation is complete. Test Plan: Added to crash test TODO: unit test TODO: Should I add stats? Which ones (how detailed)? Performance, sample command: ``` for I in `seq 1 10`; do for UA in 300; do for CT in lru_cache fixed_hyper_clock_cache auto_hyper_clock_cache; do rm -rf /dev/shm/test3; TEST_TMPDIR=/dev/shm/test3 /usr/bin/time ./db_bench -benchmarks=readwhilewriting -num=13000000 -read_random_exp_range=6 -write_buffer_size=10000000 -bloom_bits=10 -cache_type=$CT -cache_size=390000000 -cache_index_and_filter_blocks=1 -disable_wal=1 -duration=60 -statistics -uncache_aggressiveness=$UA 2>&1 | grep -E 'micros/op|rocksdb.block.cache.data.(hit|miss)|rocksdb.number.keys.(read|written)|maxresident' | awk '/rocksdb.block.cache.data.miss/ { miss = $4 } /rocksdb.block.cache.data.hit/ { hit = $4 } { print } END { print "hit rate = " ((hit * 1.0) / (miss + hit)) }' | tee -a results-$CT-$UA; done; done; done ``` Averaging 10 runs each case, block cache data block hit rates ``` lru_cache UA=0 -> hit rate = 0.327, ops/s = 87668, user CPU sec = 139.0 UA=300 -> hit rate = 0.336, ops/s = 87960, user CPU sec = 139.0 fixed_hyper_clock_cache UA=0 -> hit rate = 0.336, ops/s = 100069, user CPU sec = 139.9 UA=300 -> hit rate = 0.343, ops/s = 100104, user CPU sec = 140.2 auto_hyper_clock_cache UA=0 -> hit rate = 0.336, ops/s = 97580, user CPU sec = 140.5 UA=300 -> hit rate = 0.345, ops/s = 97972, user CPU sec = 139.8 ``` Conclusion: up to roughly 1 percentage point of improved block cache hit rate, likely leading to overall improved efficiency (because the foreground CPU cost of cache misses likely outweighs the background CPU cost of erasure, let alone I/O savings).
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