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PebblesDB currently uses bloom filters. Change PebblesDB so that it uses SURF Filters from CMU (https://github.com/efficient/SuRF) instead. This should help both point-query and range query performance.
The text was updated successfully, but these errors were encountered:
Hello Sir,
It was noted in the paper that using Bloom filters is PebblesDB leads to high consumption of memory compared to HyperLevelDB. I read an interesting paper on Vacuum Filters. Is it feasible to extend PebblesDB with Vacuum Filters? Although, it wont help point-query and range query performance but it will help with minimizing the space consumption.
PebblesDB currently uses bloom filters. Change PebblesDB so that it uses SURF Filters from CMU (https://github.com/efficient/SuRF) instead. This should help both point-query and range query performance.
The text was updated successfully, but these errors were encountered: