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GitScrum para Proyectos de Migración de BD | Guía

Aprende a gestionar proyectos de migración de base de datos con GitScrum. Rastrea cambios de schema, coordina deployments y mantén integridad de datos.

5 min de lectura

How to use GitScrum for database migration projects?

Manage database migrations in GitScrum with migration-specific labels, track dependencies, and document schemas in NoteVault. Coordinate with application releases, track rollback procedures. Migration teams with structured workflow reduce data incidents by 60% [Source: Database Management Research 2024].

Database migration workflow:

  • Design - Schema change plan
  • Write - Migration script
  • Review - DBA review
  • Test - Staging deployment
  • Coordinate - App deployment
  • Deploy - Production
  • Verify - Data integrity
  • Migration labels

    LabelPurpose
    type-migrationDatabase migration
    migration-schemaSchema change
    migration-dataData migration
    migration-indexIndex change
    migration-destructiveData loss risk
    migration-reversibleCan rollback

    Migration columns

    ColumnPurpose
    PlanningDesigning change
    DevelopmentWriting migration
    ReviewDBA review
    StagingTesting
    ProductionDeployed

    NoteVault migration docs

    DocumentContent
    Schema documentationCurrent schema
    Migration historyAll migrations
    Rollback proceduresHow to revert
    Best practicesMigration standards
    Deployment playbookHow to deploy

    Migration task template

    ## Migration: [description]
    
    ### Change Type
    - [ ] Schema change
    - [ ] Data migration
    - [ ] Index change
    - [ ] Constraint change
    
    ### Details
    - Table(s): [affected]
    - Change: [description]
    - Data impact: [rows affected]
    
    ### Migration Script
    [Link to migration file]
    
    ### Deployment Order
    1. [Step 1]
    2. [Step 2]
    
    ### Rollback
    - Reversible: [yes/no]
    - Script: [rollback script]
    - Data recovery: [approach]
    
    ### Checklist
    - [ ] Migration written
    - [ ] Rollback written
    - [ ] DBA reviewed
    - [ ] Staging tested
    - [ ] Performance tested
    - [ ] Production deployed
    

    Schema change types

    TypeRisk Level
    Add columnLow
    Add tableLow
    Add indexMedium
    Alter columnMedium
    Drop columnHigh
    Drop tableHigh

    Backward compatible approach

    PatternImplementation
    Add columnAdd with default
    Rename columnCopy + deprecate
    Change typeAdd new + migrate
    Remove columnDeploy code first

    Deployment coordination

    App + DB ChangeOrder
    New columnDB first, then app
    Column removalApp first, then DB
    Type changeMulti-step

    Testing requirements

    TestVerify
    Migration runsScript executes
    Rollback worksCan revert
    PerformanceAcceptable time
    Data integrityNo corruption
    App compatibilityWorks with app

    Large migration handling

    ConsiderationApproach
    Table sizeBatch processing
    DowntimeOnline migration
    LockingLock-free approach
    DurationTime estimate

    Common migration issues

    IssueSolution
    Long locksOnline DDL
    Data lossBackup first
    App incompatibilityBackward compatible
    Failed migrationRollback procedure

    Migration metrics

    MetricTrack
    Migration timeDuration
    Rollback rate% rolled back
    IncidentsPost-migration issues
    Review coverage% DBA reviewed

    DBA review checklist

    CheckVerify
    ☐ Syntax correctValid SQL
    ☐ PerformanceIndexes considered
    ☐ LockingMinimal locks
    ☐ RollbackCan revert
    ☐ Data safetyNo data loss

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