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BACH: Bridging Adjacency List and CSR Format using LSM-Trees for HGTAP Workloads

Summary: BACH introduces a graph-aware LSM-tree that progressively transforms transaction-friendly adjacency lists into analytics-friendly CSR across levels. Elastic merge handles workload and degree skew, while lightweight MVCC enables snapshot-isolated HGTAP with fresh, concurrent access. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14003
Venue
VLDB
Year
2025
Pagerank
5.3495662e-05
Overall Rank
8,897 | 38.96%
DOI
10.14778/3718057.3718076

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{huang_vldb25,
        title = {{BACH: Bridging Adjacency List and CSR Format using LSM-Trees for HGTAP Workloads}},
        author = {Huang, Jianfeng and Cao, Yihao and Ren, Shubing and Wu, Baohua and Miao, Dongjing},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {5},
        pages = {1509--1521},
        doi = {10.14778/3718057.3718076},
        url = {https://doi.org/10.14778/3718057.3718076},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,207 Bw-Graph: An Efficient Graph Storage System Harmonizing Topology-Aware Tree with Paged CSR 2026 SIGMOD 5.093636e-05
10,252 GraphRTX: Lighting the Way to Scalable Graph Analytics 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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