olahallengren/sql-server-maintenance-solution

SQL Server Maintenance Solution

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Summary Information

Updated 4 minutes ago
Added to GitGenius on September 19th, 2026
Created on June 5th, 2017
Open Issues & Pull Requests: 242 (+0)
GitHub issues: Enabled
Number of forks: 888
Total Stargazers: 3,489 (+0)
Total Subscribers: 268 (+0)

Charts & Analytics

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Issue Activity (beta)

Open issues: 102
New in 7 days: 2
Closed in 7 days: 0
Avg open age: 1,545 days
Stale 30+ days: 95
Stale 90+ days: 78

Recent activity

Opened in 7 days: 2
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • IndexOptimize (167)
  • Bug Report (155)
  • DatabaseBackup (149)
  • Feature Request (146)
  • DatabaseIntegrityCheck (23)
  • Performance (19)
  • General (15)
  • Question (13)

Most active issues this week

Detailed Description

SQL Server Maintenance Solution is a collection of T-SQL scripts that automate database backup, integrity checking, and index and statistics maintenance for SQL Server.

The tool addresses the need for reliable, hands-off database maintenance by providing stored procedures that handle three core tasks: backing up databases, checking database integrity, and optimizing indexes and statistics. Each procedure can be scheduled as a SQL Server Agent job and logs its execution through a central command logging system. The solution uses a queue-based approach to process multiple databases in parallel, allowing maintenance operations to scale across large server environments.

The tool supports SQL Server 2017 through 2025 and Azure SQL Managed Instance via a single comprehensive script, with a separate script available for Azure SQL Database that covers integrity checks and index and statistics maintenance. Administrators should choose this solution if they need production-grade maintenance automation without building custom scripts from scratch. The modular design allows you to deploy only the components you need—backup, integrity check, or index optimization—though the command execution and logging infrastructure is required as a foundation. The project provides detailed documentation for each major component and includes SHA-256 checksums for script verification.

Development activity shows consistent engagement with bug reports and feature requests tracked through the issue system. The project maintains documentation both in the repository and on an external website, indicating sustained attention to keeping guidance current alongside code updates.