S3 Inv Db

C 69 completed
Library
unknown / go · small
92
Files
19,127
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#299764
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
57.33
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #48102
Member of a group with 1 similar repo(s) — canonical #1874 view group →
Top concepts (5)
AnalyticsFile ManagementLoggingSearchTesting
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AI Prompt

Create a high-performance command-line tool in Go that acts as an indexer for S3 inventory reports. The tool needs to build a compact, memory-mapped index enabling O(1) prefix lookups and fast subtree aggregation queries. It should support building the index from an S3 manifest and allow querying the index using a prefix. The query functionality must support showing per-tier storage statistics and estimating costs. The implementation should be pure Go and utilize minimal perfect hashing (BBHash) for lookups.
go cli s3 indexing performance memory-mapped golang storage
Generated by gemma4:latest

Catalog Information

eunmann__s3-inv-db is a high-performance indexer for S3 inventory reports, enabling O(1) prefix lookups and fast subtree aggregation queries.

Description

This project provides a compact, memory-mapped index that enables efficient querying of S3 inventory reports. It supports O(1) prefix lookups, memory-mapped queries with sub-millisecond latency, and bounded memory builds via external sort with configurable budget. The index stores prefix statistics in a columnar format optimized for memory-mapped access.

الوصف

هذا المشروع يوفّر مؤشرًا مرنًا ذا أداء عالٍ لتقارير مخزون S3، مما يسمح بتحديد الأقسام المحددة في O(1) وطلبات التجميع السريعة للشجرة. يدعم المؤشر عمليات البحث بالفئة المحددة في O(1)، طلبات الاستعلام المرن مع تأخير تحت المليميلي ثانية، وبناء الذاكرة المحدد عبر External Sort مع ميزة إنفاق الميزانية. يحتوي المؤشر على إحصائيات الفئات المحددة في صيغة عمودية مُصممة للاستخدام المرن.

Novelty

7/10

Tags

prefix-lookup subtree-aggregation s3-inventory memory-mapped-index high-performance

Technologies

ent

Claude Models

claude-opus-4.5

Quality Score

C
68.6/100
Structure
66
Code Quality
65
Documentation
64
Testing
50
Practices
80
Security
100
Dependencies
70

Strengths

  • Good test coverage (76% test-to-source ratio)
  • Code linting configured (golangci-lint)
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment
  • 1283 duplicate lines detected \u2014 consider DRY refactoring
  • 1 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

5.6h
Tech Debt (A)
Medium
DORA Rating
A
OWASP (100%)
Repobility · code-quality intelligence platform · https://repobility.com
PASS
Quality Gate
A
Risk (1)
Unknown
License
7.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

go
95.3%
markdown
3.6%
yaml
1.0%
text
0.2%

Frameworks

None detected

Symbols

method321
function180
struct99
constant63
interface7
type_alias7
variable2

Concepts (5)

Open methodology · Repobility · https://repobility.com/research/
CategoryNameDescriptionConfidence
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
business_logicAnalyticsDetected from 2 related files50%
business_logicFile ManagementDetected from 8 related files50%
business_logicLoggingDetected from 6 related files50%
business_logicSearchDetected from 10 related files50%
business_logicTestingDetected from 34 related files50%

Quality Timeline

1 quality score recorded.

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