RepoPilot

XiaoMi/soar

SQL Optimizer And Rewriter

Mixed

Stale — last commit 3y ago

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

MixedDeploy as-is

last commit was 3y ago; Scorecard "Branch-Protection" is 0/10

  • Stale — last commit 3y ago
  • Single-maintainer risk — top contributor 87% of recent commits
  • Scorecard: marked unmaintained (0/10)
  • Scorecard: default branch unprotected (0/10)
  • 3 moderate-severity advisories on direct dependencies
  • 10 active contributors
  • Apache-2.0 licensed
  • CI configured
  • Tests present

What would improve this?

  • Deploy as-is Mixed to Healthy if: 1 commit in the last 180 days

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

Informational only. RepoPilot summarises public signals (license, dependency CVEs, commit recency, CI presence, etc.) at the time of analysis. Signals can be incomplete or stale. Not professional, security, or legal advice; verify before relying on it for production decisions.

Repository brief

Repo brief: XiaoMi/soar

Generated by RepoPilot · document generated 2026-09-14 · concise human review Evidence snapshot · analyzed 2026-09-14T21:41:16.298Z · commit 5ed8574ae59f

Verdict

Mixed — Stale — last commit 3y ago

  • 10 active contributors
  • Apache-2.0 licensed
  • CI configured
  • Tests present

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

SOAR (SQL Optimizer And Rewriter) is a Go-based automated tool for parsing, analyzing, and rewriting MySQL-dialect SQL statements. It performs heuristic-based query optimization, generates multi-column index recommendations, explains EXPLAIN output, and supports custom rewrite rules—designed to improve database performance at scale. Monorepo structure: core parsing logic in ast/ (TiDB and Vitess SQL AST handling via ast/tidb.go, ast/vitess.go), optimization rules in advisor/ (heuristic rules, index recommendations, EXPLAIN parsing), command-line interface in cmd/soar. Each package has parallel _test.go test files and testdata/ golden directories for regression testing.

Start here

Read these in order:

  • common/cases.go — Foundation: doesn't import anything internally and is imported by 38 other files. Read first to learn the vocabulary.
  • database/doc.go — Foundation: imported by 8, no internal dependencies of its own.
  • cmd/soar/soar.go — Built on the foundation; imported by 0 downstream files.
  • cmd/soar/tool.go — Built on the foundation; imported by 0 downstream files.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

git clone https://github.com/XiaoMi/soar.git
cd soar
go mod download
make
``` (Makefile present; typical Go workflow with go.mod already initialized at go 1.15).

**Daily commands:**

```bash
make
./soar --help
``` Output binary is likely in cmd/soar/. See Makefile for full build targets. For development: `go test ./...` runs test suite across packages.

Key cautions & unknowns

  • Stale — last commit 3y ago
  • Single-maintainer risk — top contributor 87% of recent commits
  • Scorecard: marked unmaintained (0/10)
  • Parser dual-path: ast/tidb.go and ast/vitess.go must stay in sync for feature parity; test with both via ast/tidb_test.go and ast/vitess_test.go. Golden file regressions: testdata/*.golden files are…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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