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PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage

Summary: PIDS uses unsupervised pattern inference to decompose string attributes into sub-attrs in columnar store, enabling per-attr encoding and compression near Snappy/Gzip. Pushdown to sub-attrs reduces I/O and comparisons, yielding faster query execution. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12472
Venue
VLDB
Year
2020
Pagerank
5.5092344e-05
Overall Rank
8,000 | 45.12%
DOI
10.14778/3380750.3380761

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{jiang_vldb20,
        title = {{PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage}},
        author = {Jiang, Hao and Liu, Chunwei and Jin, Qi and Paparrizos, John and Elmore, Aaron J.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {6},
        pages = {925--938},
        doi = {10.14778/3380750.3380761},
        url = {https://doi.org/10.14778/3380750.3380761},
        year = {2020}
}

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2,004 TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection 2022 VLDB 9.3207067e-05
2,023 Decomposed Bounded Floats for Fast Compression and Queries 2021 VLDB 9.2950046e-05
3,447 Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection 2022 VLDB 7.4085215e-05
3,987 Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series 2023 VLDB 6.9722766e-05
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5,037 A Deep Dive into Common Open Formats for Analytical DBMSs 2023 VLDB 6.3914026e-05
5,622 Good to the Last Bit: Data-Driven Encoding with CodecDB 2021 SIGMOD 6.1461066e-05
6,061 VergeDB: A Database for IoT Analytics on Edge Devices 2021 CIDR 5.9910733e-05
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10,271 MUFASA: Fast and Accurate Multivariate Time-Series Clustering 2026 SIGMOD 5.093636e-05
10,298 The Power of Anomaly Detection in Predictive Maintenance: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,747 A Structured Study of Multivariate Time-Series Distance Measures 2025 SIGMOD 5.093636e-05
10,796 Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data 2025 SIGMOD 5.093636e-05
10,923 Improving Time Series Data Compression in Apache IoTDB 2025 VLDB 5.093636e-05
10,977 TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection 2025 VLDB 5.093636e-05
10,978 Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods 2025 VLDB 5.093636e-05
10,980 Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression 2025 VLDB 5.093636e-05
11,300 Time-Series Anomaly Detection: Overview and New Trends 2024 VLDB 5.093636e-05
11,435 Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances 2023 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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