Enabling Timely and Persistent Deletion in LSM-Engines
نویسندگان
چکیده
Data-intensive applications have fueled the evolution of log-structured merge (LSM) based key-value engines that employ out-of-place paradigm to support high ingestion rates with low read/write interference. These benefits, however, come at cost treating deletes as second-class citizens . A delete operation inserts a tombstone invalidates older instances deleted key. State-of-the-art LSM-engines do not provide guarantees how fast will propagate persist deletion Further, only on sort To another attribute (e.g., timestamp), entire tree is read and re-written, leading undesired latency spikes increasing overall operational database. Efficient persistent key support: (i) streaming systems operating window data, (ii) privacy data deletion, (iii) en masse cloud deployment systems. we document LSM-based perform suboptimally in presence workload. Tombstone-driven logical deletes, by design, are unable purge entries timely manner, retaining invalidated perpetually affects performance terms space amplification, write performance. Moreover, potentially unbounded for brings critical concerns light protection regulations, such right be forgotten EU’s GDPR, California’s CCPA CPRA, Virginia’s VCDPA. Toward this, introduce design LSM-trees highlight implications different classes operations. address these challenges, this article, build new storage engine, Lethe + , uses very small amount additional metadata, set delete-aware compaction policies, physical layout weaves order. We show supports any user-defined threshold persistence offering higher throughput (1.17× -1.4×) lower amplification (2.1× -9.8×), modest increase (between 4% 25%) can further amortized less than 1%. In addition, efficient range secondary dropping pages without sacrificing or employing costly full merge.
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ژورنال
عنوان ژورنال: ACM Transactions on Database Systems
سال: 2023
ISSN: ['1557-4644', '0362-5915']
DOI: https://doi.org/10.1145/3599724