Improving LZ4 for Effective Compression and Efficient Query
Summary: Extends LZ4 with LZV, using variable-length hashes to find longer matches, improving compression ratio while reducing match-dependency costs. Adds auxiliary-index and prediction-guided key search to query compressed data directly in TsFile, avoiding full decompression and cutting latency. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Zhiheng Liu
- 2. Shaoxu Song
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 101 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049778866 |
| 211 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.0003401421 |
| 496 | Column-Stores vs. Row-Stores: How Different Are They Really? | 2008 | SIGMOD | 0.00021705611 |
| 3,419 | LeCo: Lightweight Compression via Learning Serial Correlations | 2024 | SIGMOD | 7.1127752e-05 |
| 3,971 | Apache IoTDB: A Time Series Database for IoT Applications | 2023 | SIGMOD | 6.5733348e-05 |
| 4,516 | An Empirical Evaluation of Columnar Storage Formats | 2024 | VLDB | 6.1146215e-05 |
| 9,127 | Apache TsFile: An IoT-native Time Series File Format | 2024 | VLDB | 4.3867836e-05 |
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