Column Partition and Permutation for Run Length Encoding in Columnar Databases
Summary: Rearranging columns for improved Run Length Encoding in in-memory columnar DBs. An incremental heuristic selects a subset of columns to compress and a row order to boost RLE, addressing NP-hardness and achieving up to 25% better compression than compressing all columns. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jia Shi
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,562 | A Deep Dive into Common Open Formats for Analytical DBMSs | 2023 | VLDB | 5.4331334e-05 |
| 8,657 | Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices | 2022 | VLDB | 4.4730648e-05 |
| 11,036 | Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing | 2024 | VLDB | 4.1945683e-05 |
| 11,067 | Partition, Don’t Sort! Compression Boosters for Cloud Data Ingestion Pipelines | 2024 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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