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X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing

Summary: X-Engine: a write-optimized storage engine for large-scale OLTP in POLARDB, tackling promo-driven bursts and hot-record skew. Key ideas: tiered storage with LSM-tree, FPGA-accelerated compactions, asynchronous writes, and incremental cache replacement. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h5c540e693e3265f4
Venue
SIGMOD
Year
2019
Pagerank
0.00011060108
Overall Rank
1,313 | 91.18%
DOI
10.1145/3299869.3314041

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{huang_sigmod19,
        title = {{X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing}},
        author = {Huang, Gui and Cheng, Xuntao and Wang, Jianying and Wang, Yujie and He, Dengcheng and Zhang, Tieying and Li, Feifei and Wang, Sheng and Cao, Wei and Li, Qiang},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3314041},
        url = {https://dl.acm.org/doi/10.1145/3299869.3314041},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 46 of 46 citing papers.

Rank Citing Paper Year Venue Pagerank
1,343 PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers 2021 SIGMOD 0.00010963588
1,513 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010429438
1,854 LB+-Trees: Optimizing Persistent Index Performance on 3DXPoint Memory 2020 VLDB 9.4991601e-05
1,980 Chucky: A Succinct Cuckoo Filter for LSM-Tree 2021 SIGMOD 9.2595896e-05
2,770 Constructing and Analyzing the LSM Compaction Design Space 2021 VLDB 8.037607e-05
2,788 Lethe: A Tunable Delete-Aware LSM Engine 2020 SIGMOD 8.0133966e-05
2,868 Spooky: Granulating LSM-Tree Compactions Correctly 2022 VLDB 7.9241972e-05
3,032 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.7351139e-05
3,641 Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store 2021 SIGMOD 7.1439198e-05
3,671 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.1100217e-05
3,861 GaccO - A GPU-accelerated OLTP DBMS 2022 SIGMOD 6.9656048e-05
4,121 On Performance Stability in LSM-based Storage Systems 2020 VLDB 6.7946812e-05
4,261 MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems 2020 VLDB 6.6992113e-05
4,750 GRF: A Global Range Filter for LSM-Trees with Shape Encoding 2024 SIGMOD 6.4354422e-05
5,018 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.3121723e-05
5,046 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 6.3000825e-05
5,248 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.211056e-05
5,288 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.1944376e-05
5,613 Dotori: A Key-Value SSD Based KV Store 2023 VLDB 6.0670316e-05
6,072 Halo: A Hybrid PMem-DRAM Persistent Hash Index with Fast Recovery 2022 SIGMOD 5.8954394e-05
6,120 LSMGraph: A High-Performance Dynamic Graph Storage System with Multi-Level CSR 2024 SIGMOD 5.880693e-05
6,124 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.8788211e-05
6,236 Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory 2021 VLDB 5.8409336e-05
6,500 Revisiting the Design of LSM-tree Based OLTP Storage Engine with Persistent Memory 2021 VLDB 5.7648519e-05
6,882 Modernization of Databases in the Cloud Era: Building Databases that Run like Legos 2023 VLDB 5.6569197e-05
7,209 Hardware Acceleration of Compression and Encryption in SAP HANA 2022 VLDB 5.5845533e-05
7,240 SaS: SSD as SQL Database System 2021 VLDB 5.577789e-05
7,905 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.4291824e-05
8,221 ArceKV: Towards Workload-driven LSM-compactions for Key-Value Store Under Dynamic Workloads 2026 VLDB 5.3759492e-05
8,329 How to Grow an LSM-tree? Towards Bridging the Gap Between Theory and Practice 2025 SIGMOD 5.3536854e-05
8,530 SA-LSM: Optimize Data Layout for LSM-tree Based Storage using Survival Analysis 2022 VLDB 5.3222993e-05
8,620 Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines 2024 SIGMOD 5.301557e-05
8,640 Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees 2025 SIGMOD 5.2972383e-05
8,804 SwiftSpatial: Spatial Joins on Modern Hardware 2025 SIGMOD 5.2732683e-05
9,056 Aster: Enhancing LSM-structures for Scalable Graph Database 2025 SIGMOD 5.2295363e-05
9,130 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD 5.2233025e-05
9,181 Structural Designs Meet Optimality: Exploring Optimized LSM-tree Structures in A Colossal Configuration Space 2024 SIGMOD 5.2118872e-05
9,646 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 5.1453267e-05
9,782 Sharing Opportunities for OLTP Workloads in Different Isolation Levels 2020 VLDB 5.1296539e-05
10,199 DASH: Asynchronous Hardware Data Processing Services 2023 CIDR 5.0617433e-05
10,486 O3-LSM: Maximizing Disaggregated LSM Write Performance via Three-Layer Offloading 2026 SIGMOD 4.9793485e-05
10,652 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD 4.9793485e-05
10,764 Kirin: Efficient In-Storage Learned Compaction for LSM-Trees via System-Algorithm Co-Design 2026 VLDB 4.9793485e-05
11,586 On Reducing Space Amplification with Multi-Column Compaction in Apache IoTDB 2024 VLDB 4.9793485e-05
11,616 Lindorm-UWC: An Ultra-Wide-Column Database for Internet of Vehicles 2024 VLDB 4.9793485e-05
11,844 Confidence Bounded Replica Currency Estimation 2022 SIGMOD 4.9793485e-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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