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Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing

Summary: Blitzcrank combines fast semantic models for dynamic discrete/continuous values with delayed entropy coding, enabling fine-grained compression of in-memory OLTP row stores. It delivers sub-μs random-tuple decompression, 85% memory reduction, and only 19% TPC-C throughput loss. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h08fe4193a3800610
Venue
VLDB
Year
2024
Pagerank
4.9769913e-05
Overall Rank
11,585 | 22.14%
DOI
10.14778/3675034.3675044
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{qiao_vldb24,
        title = {{Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing}},
        author = {Qiao, Yiming and Gao, Yihan and Zhang, Huanchen},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {10},
        pages = {2528--2540},
        doi = {10.14778/3675034.3675044},
        url = {https://doi.org/10.14778/3675034.3675044},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,427 Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store 2025 SIGMOD 5.3324907e-05
10,311 Data Chunk Compaction in Vectorized Execution 2025 SIGMOD 5.0376863e-05
10,723 Robust Predicate Transfer with Dynamic Execution 2026 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
61 Integrating Compression and Execution in Column-Oriented Database Systems 2006 SIGMOD 0.00039236924
898 Query Optimization In Compressed Database Systems 2001 SIGMOD 0.0001318387
960 Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes 2016 SIGMOD 0.0001283613
1,192 Data Compression in Oracle 2003 VLDB 0.00011585228
1,283 Managing Non-Volatile Memory in Database Systems 2018 SIGMOD 0.00011205832
1,770 How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations 2006 VLDB 9.6822825e-05
2,317 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.6492924e-05
2,657 SPARTAN: A Model-Based Semantic Compression System for Massive Data Tables 2001 SIGMOD 8.162525e-05
2,875 Exploiting Directly-Attached NVMe Arrays in DBMS 2020 CIDR 7.916817e-05
3,141 DeepSqueeze: Deep Semantic Compression for Tabular Data 2020 SIGMOD 7.5987721e-05
3,710 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0775695e-05
3,827 ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA 2022 SIGMOD 6.9972263e-05
4,155 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.7730383e-05
4,682 Enabling Low Tail Latency on Multicore Key-Value Stores 2020 VLDB 6.4696727e-05
5,388 Order-Preserving Key Compression for In-Memory Search Trees 2020 SIGMOD 6.1520776e-05
6,097 Column Partition and Permutation for Run Length Encoding in Columnar Databases 2020 SIGMOD 5.8859184e-05
6,686 Hierarchical Residual Encoding for Multiresolution Time Series Compression 2023 SIGMOD 5.7066636e-05
6,715 Replicated Layout for In-Memory Database Systems 2022 VLDB 5.6989853e-05
8,170 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 5.3827384e-05
8,615 Adaptive Compression for Fast Scans on String Columns 2021 SIGMOD 5.3011231e-05
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