{
  "annotation_id": "7d1affcc-0b98-4df7-b03f-fd0725da4b1b",
  "date_created": "2026-02-17T05:53:23.746000Z",
  "date_modified": "2026-02-17T05:53:23.746000Z",
  "file_hash": "361f0faab8aa9bfad444801d069d83a368c8e5706c9f950fa242a8ff02f52690",
  "private": false,
  "record": {
    "abstract": "This paper explores a new opportunity to improve the performance of transaction processing at the application side by merging structurely similar statements or transactions. Concretely, we re-write transactions to 1) merge similar statements using specific SQL semantics; 2) eliminate redundant reads; and 3) merge contending statements across transactions by pre-computing their aggregated effect. Following this idea, we present the design of TransactionMerger, a middleware to collect and merge transactions across different clients. We further present a static analysis tool to identify the merging opportunity without violating isolation as well as our experience of re-writing transactions in TPC-C and Spree, a popular real-world application. Our evaluation shows that such transaction merging can improve TPC-C throughput by up to 2.65X and Spree throughput by 3.52X.",
    "arxiv_id": "2601.10596",
    "authors": [
      "Xueyuan Ren",
      "Frank Li",
      "Yang Wang"
    ],
    "categories": [
      "cs.DB"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Improving Database Performance by Application-side Transaction Merging",
    "url": "https://arxiv.org/abs/2601.10596",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "14641bef-d6e9-4f81-a6e3-048f76313fa1",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}