Skip to content

Add MillenniumDB to the cross-system LDBC benchmark #69

Description

@matiastoro

Motivation

Add MillenniumDB to the cross-system benchmark. MillenniumDB (IMFD / U. Chile) implements worst-case-optimal (leapfrog trie) joins natively, making it the most apt head-to-head comparison for this engine's LTJ.

Current state (feasibility)

  • The harness (bench/cross-system/) already runs gqlite, graphqlite, kuzu, grafeo, neo4j, duckdb (ALL_SYSTEMS in run_all.sh).
  • Adding a system follows the documented recipe (see gqlrust/CLAUDE.md "Adding a system"): create bench/cross-system/millenniumdb/ with:
    • setup.py — load full LDBC SF0.1 (counts must match: 327,588 nodes / 1,477,965 edges)
    • run.py — emit the CSV schema + the ROW ... hash= line via _lib/row_hash.py (must byte-mirror canonicalize_* in src/bin/ldbc_bench.rs)
    • IC translations for the implemented ICs (2, 5, 6, 8, 9, 11)
    • requirements.txt, README.md, DIVERGENCES.md
    • register in run_all.sh (ALL_SYSTEMS, SETUP_CMD, SETUP_MARKER, RUNNER, REBUILD_FLAG) and in compare_results.py _normalize

Feasibility

Additive, no engine changes; follows a proven pattern. Effort is the loader + runner + a MillenniumDB client (it runs as a server; needs its HTTP/driver interface) and the IC dialect translations. The row-equivalence oracle (sha256 of iter-0 rows) keeps the comparison honest.

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    enhancementNew feature or request

    Type

    No type

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions