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Modern mixed (HTAP) workloads execute fast update-transactions andlong-running analytical queries on the same dataset and system. Inmulti-version (MVCC) systems, such workloads result in many short-livedversions and long version-chains as well as in increased and frequentmaintenance overhead. Consequently, the index pressure increases significantly.Firstly, the frequent modifications cause frequent creation of new versions,yielding a surge in index maintenance overhead. Secondly and more importantly,index-scans incur extra I/O overhead to determine, which of the resultingtuple-versions are visible to the executing transaction (visibility-check) ascurrent designs only store version/timestamp information in the base table --not in the index. Such index-only visibility-check is critical for HTAPworkloads on large datasets. In this paper we propose the Multi-VersionPartitioned B-Tree (MV-PBT) as a version-aware index structure, supportingindex-only visibility checks and flash-friendly I/O patterns. The experimentalevaluation indicates a 2x improvement for analytical queries and 15% highertransactional throughput under HTAP workloads (CH-Benchmark). MV-PBT offers 40%higher transactional throughput compared to WiredTiger's LSM-Treeimplementation under YCSB.

MV-PBT: Multi-Version Index for Large Datasets and HTAP Workloads