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TencentCLS: The Cloud Log Service with High Query Performances

Summary: TencentCLS: Lucene-based cloud log search with a novel time-range querying procedure, time-field indexing, and optimized algorithms for core log types. 20x faster on standard queries, 10x on histogram queries at PB scale, with microsecond precision and strict time-order preservation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
13011
Venue
VLDB
Year
2022
Pagerank
5.8369845e-05
Overall Rank
6,575 | 54.90%
DOI
10.14778/3554821.3554837

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yu_vldb22,
        title = {{TencentCLS: The Cloud Log Service with High Query Performances}},
        author = {Yu, Muzhi and Lin, Zhaoxiang and Sun, Jinan and Zhou, Runyun and Jiang, Guoqiang and Huang, Hua and Zhang, Shikun},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3472--3482},
        doi = {10.14778/3554821.3554837},
        url = {https://doi.org/10.14778/3554821.3554837},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,309 ESTELLE: An Efficient and Cost-effective Cloud Log Engine 2024 SIGMOD 5.289545e-05
10,909 LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,477 Multi-Tenant Databases for Software as a Service: Schema-Mapping Techniques 2008 SIGMOD 0.00010654969
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