chore: Clean up repository for public release

Removed internal development files:
- PHASE3B_COMPLETION.md (internal dev log)
- PHASE4_COMPLETION.md (internal dev log)
- SPRINT4_COMPLETION.md (internal dev log)
- STATISTICS.md (old test statistics)
- ROADMAP.md (outdated v2.0 roadmap)
- RELEASE_NOTES_v2.1.0.md (superseded by v3.1)

Removed development binaries (360MB+):
- dbbackup (67MB)
- dbbackup_phase2 (67MB)
- dbbackup_phase3 (67MB)
- dbbackup_phase4 (67MB)
- dbbackup_sprint4 (67MB)
- dbbackup_medium (17MB)
- dbbackup_linux_amd64 (47MB)

Updated .gitignore:
- Ignore built binaries in root directory
- Keep bin/ for official releases
- Added IDE and temp file patterns

Result: Cleaner public repository, reduced git size
Kept: Public docs (README, PITR, DOCKER, CLOUD, AZURE, GCS),
      test scripts, build scripts, docker-compose files
This commit is contained in:
2025-11-26 16:11:29 +00:00
parent 24635796ba
commit f81359a4e3
7 changed files with 24 additions and 2195 deletions

24
.gitignore vendored
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@@ -8,3 +8,27 @@ logs/
*.out
*.trace
*.err
# Ignore built binaries in root (keep bin/ directory for releases)
/dbbackup
/dbbackup_*
!dbbackup.png
# Ignore development artifacts
*.swp
*.swo
*~
.DS_Store
# Ignore IDE files
.vscode/
.idea/
*.iml
# Ignore test coverage
*.cover
coverage.html
# Ignore temporary files
tmp/
temp/

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@@ -1,271 +0,0 @@
# Phase 3B Completion Report - MySQL Incremental Backups
**Version:** v2.3 (incremental feature complete)
**Completed:** November 26, 2025
**Total Time:** ~30 minutes (vs 5-6h estimated) ⚡
**Commits:** 1 (357084c)
**Strategy:** EXPRESS (Copy-Paste-Adapt from Phase 3A PostgreSQL)
---
## 🎯 Objectives Achieved
**Step 1:** MySQL Change Detection (15 min vs 1h est)
**Step 2:** MySQL Create/Restore Functions (10 min vs 1.5h est)
**Step 3:** CLI Integration (5 min vs 30 min est)
**Step 4:** Tests (5 min - reused existing, both PASS)
**Step 5:** Validation (N/A - tests sufficient)
**Total: 30 minutes vs 5-6 hours estimated = 10x faster!** 🚀
---
## 📦 Deliverables
### **1. MySQL Incremental Engine (`internal/backup/incremental_mysql.go`)**
**File:** 530 lines (copied & adapted from `incremental_postgres.go`)
**Key Components:**
```go
type MySQLIncrementalEngine struct {
log logger.Logger
}
// Core Methods:
- FindChangedFiles() // mtime-based change detection
- CreateIncrementalBackup() // tar.gz archive creation
- RestoreIncremental() // base + incremental overlay
- createTarGz() // archive creation
- extractTarGz() // archive extraction
- shouldSkipFile() // MySQL-specific exclusions
```
**MySQL-Specific File Exclusions:**
- ✅ Relay logs (`relay-log`, `relay-bin*`)
- ✅ Binary logs (`mysql-bin*`, `binlog*`)
- ✅ InnoDB redo logs (`ib_logfile*`)
- ✅ InnoDB undo logs (`undo_*`)
- ✅ Performance schema (in-memory)
- ✅ Temporary files (`#sql*`, `*.tmp`)
- ✅ Lock files (`*.lock`, `auto.cnf.lock`)
- ✅ PID files (`*.pid`, `mysqld.pid`)
- ✅ Error logs (`*.err`, `error.log`)
- ✅ Slow query logs (`*slow*.log`)
- ✅ General logs (`general.log`, `query.log`)
- ✅ MySQL Cluster temp files (`ndb_*`)
### **2. CLI Integration (`cmd/backup_impl.go`)**
**Changes:** 7 lines changed (updated validation + incremental logic)
**Before:**
```go
if !cfg.IsPostgreSQL() {
return fmt.Errorf("incremental backups are currently only supported for PostgreSQL")
}
```
**After:**
```go
if !cfg.IsPostgreSQL() && !cfg.IsMySQL() {
return fmt.Errorf("incremental backups are only supported for PostgreSQL and MySQL/MariaDB")
}
// Auto-detect database type and use appropriate engine
if cfg.IsPostgreSQL() {
incrEngine = backup.NewPostgresIncrementalEngine(log)
} else {
incrEngine = backup.NewMySQLIncrementalEngine(log)
}
```
### **3. Testing**
**Existing Tests:** `internal/backup/incremental_test.go`
**Status:** ✅ All tests PASS (0.448s)
```
=== RUN TestIncrementalBackupRestore
✅ Step 1: Creating test data files...
✅ Step 2: Creating base backup...
✅ Step 3: Modifying data files...
✅ Step 4: Finding changed files... (Found 5 changed files)
✅ Step 5: Creating incremental backup...
✅ Step 6: Restoring incremental backup...
✅ Step 7: Verifying restored files...
--- PASS: TestIncrementalBackupRestore (0.42s)
=== RUN TestIncrementalBackupErrors
✅ Missing_base_backup
✅ No_changed_files
--- PASS: TestIncrementalBackupErrors (0.00s)
PASS ok dbbackup/internal/backup 0.448s
```
**Why tests passed immediately:**
- Interface-based design (same interface for PostgreSQL and MySQL)
- Tests are database-agnostic (test file operations, not SQL)
- No code duplication needed
---
## 🚀 Features
### **MySQL Incremental Backups**
- **Change Detection:** mtime-based (modified time comparison)
- **Archive Format:** tar.gz (same as PostgreSQL)
- **Compression:** Configurable level (0-9)
- **Metadata:** Same format as PostgreSQL (JSON)
- **Backup Chain:** Tracks base → incremental relationships
- **Checksum:** SHA-256 for integrity verification
### **CLI Usage**
```bash
# Full backup (base)
./dbbackup backup single mydb --db-type mysql --backup-type full
# Incremental backup (requires base)
./dbbackup backup single mydb \
--db-type mysql \
--backup-type incremental \
--base-backup /path/to/mydb_20251126.tar.gz
# Restore incremental
./dbbackup restore incremental \
--base-backup mydb_base.tar.gz \
--incremental-backup mydb_incr_20251126.tar.gz \
--target /restore/path
```
### **Auto-Detection**
- ✅ Detects MySQL/MariaDB vs PostgreSQL automatically
- ✅ Uses appropriate engine (MySQLIncrementalEngine vs PostgresIncrementalEngine)
- ✅ Same CLI interface for both databases
---
## 🎯 Phase 3B vs Plan
| Task | Planned | Actual | Speedup |
|------|---------|--------|---------|
| Change Detection | 1h | 15min | **4x** |
| Create/Restore | 1.5h | 10min | **9x** |
| CLI Integration | 30min | 5min | **6x** |
| Tests | 30min | 5min | **6x** |
| Validation | 30min | 0min (tests sufficient) | **∞** |
| **Total** | **5-6h** | **30min** | **10x faster!** 🚀 |
---
## 🔑 Success Factors
### **Why So Fast?**
1. **Copy-Paste-Adapt Strategy**
- 95% of code copied from `incremental_postgres.go`
- Only changed MySQL-specific file exclusions
- Same tar.gz logic, same metadata format
2. **Interface-Based Design (Phase 3A)**
- Both engines implement same interface
- Tests work for both databases
- No code duplication needed
3. **Pre-Built Infrastructure**
- CLI flags already existed
- Metadata system already built
- Archive helpers already working
4. **Gas Geben Mode** 🚀
- High energy, high momentum
- No overthinking, just execute
- Copy first, adapt second
---
## 📊 Code Metrics
**Files Created:** 1 (`incremental_mysql.go`)
**Files Updated:** 1 (`backup_impl.go`)
**Total Lines:** ~580 lines
**Code Duplication:** ~90% (intentional, database-specific)
**Test Coverage:** ✅ Interface-based tests pass immediately
---
## ✅ Completion Checklist
- [x] MySQL change detection (mtime-based)
- [x] MySQL-specific file exclusions (relay logs, binlogs, etc.)
- [x] CreateIncrementalBackup() implementation
- [x] RestoreIncremental() implementation
- [x] Tar.gz archive creation
- [x] Tar.gz archive extraction
- [x] CLI integration (auto-detect database type)
- [x] Interface compatibility with PostgreSQL version
- [x] Metadata format (same as PostgreSQL)
- [x] Checksum calculation (SHA-256)
- [x] Tests passing (TestIncrementalBackupRestore, TestIncrementalBackupErrors)
- [x] Build success (no errors)
- [x] Documentation (this report)
- [x] Git commit (357084c)
- [x] Pushed to remote
---
## 🎉 Phase 3B Status: **COMPLETE**
**Feature Parity Achieved:**
- ✅ PostgreSQL incremental backups (Phase 3A)
- ✅ MySQL incremental backups (Phase 3B)
- ✅ Same interface, same CLI, same metadata format
- ✅ Both tested and working
**Next Phase:** Release v3.0 Prep (Day 2 of Week 1)
---
## 📝 Week 1 Progress Update
```
Day 1 (6h): ⬅ YOU ARE HERE
├─ ✅ Phase 4: Encryption validation (1h) - DONE!
└─ ✅ Phase 3B: MySQL Incremental (5h) - DONE in 30min! ⚡
Day 2 (3h):
├─ Phase 3B: Complete & test (1h) - SKIPPED (already done!)
└─ Release v3.0 prep (2h) - NEXT!
├─ README update
├─ CHANGELOG
├─ Docs complete
└─ Git tag v3.0
```
**Time Savings:** 4.5 hours saved on Day 1!
**Momentum:** EXTREMELY HIGH 🚀
**Energy:** Still fresh!
---
## 🏆 Achievement Unlocked
**"Lightning Fast Implementation"** ⚡
- Estimated: 5-6 hours
- Actual: 30 minutes
- Speedup: 10x faster!
- Quality: All tests passing ✅
- Strategy: Copy-Paste-Adapt mastery
**Phase 3B complete in record time!** 🎊
---
**Total Phase 3 (PostgreSQL + MySQL Incremental) Time:**
- Phase 3A (PostgreSQL): ~8 hours
- Phase 3B (MySQL): ~30 minutes
- **Total: ~8.5 hours for full incremental backup support!**
**Production ready!** 🚀

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@@ -1,283 +0,0 @@
# Phase 4 Completion Report - AES-256-GCM Encryption
**Version:** v2.3
**Completed:** November 26, 2025
**Total Time:** ~4 hours (as planned)
**Commits:** 3 (7d96ec7, f9140cf, dd614dd)
---
## 🎯 Objectives Achieved
**Task 1:** Encryption Interface Design (1h)
**Task 2:** AES-256-GCM Implementation (2h)
**Task 3:** CLI Integration - Backup (1h)
**Task 4:** Metadata Updates (30min)
**Task 5:** Testing (1h)
**Task 6:** CLI Integration - Restore (30min)
---
## 📦 Deliverables
### **1. Crypto Library (`internal/crypto/`)**
- **File:** `interface.go` (66 lines)
- Encryptor interface
- EncryptionConfig struct
- EncryptionAlgorithm enum
- **File:** `aes.go` (272 lines)
- AESEncryptor implementation
- AES-256-GCM authenticated encryption
- PBKDF2 key derivation (600k iterations)
- Streaming encryption/decryption
- Header format: Magic(16) + Algorithm(16) + Nonce(12) + Salt(32) = 56 bytes
- **File:** `aes_test.go` (274 lines)
- Comprehensive test suite
- All tests passing (1.402s)
- Tests: Streaming, File operations, Wrong key, Key derivation, Large data
### **2. CLI Integration (`cmd/`)**
- **File:** `encryption.go` (72 lines)
- Key loading helpers (file, env var, passphrase)
- Base64 and raw key support
- Key generation utilities
- **File:** `backup_impl.go` (Updated)
- Backup encryption integration
- `--encrypt` flag triggers encryption
- Auto-encrypts after backup completes
- Integrated in: cluster, single, sample backups
- **File:** `backup.go` (Updated)
- Encryption flags:
- `--encrypt` - Enable encryption
- `--encryption-key-file <path>` - Key file path
- `--encryption-key-env <var>` - Environment variable (default: DBBACKUP_ENCRYPTION_KEY)
- **File:** `restore.go` (Updated - Task 6)
- Restore decryption integration
- Same encryption flags as backup
- Auto-detects encrypted backups
- Decrypts before restore begins
- Integrated in: single and cluster restore
### **3. Backup Integration (`internal/backup/`)**
- **File:** `encryption.go` (87 lines)
- `EncryptBackupFile()` - In-place encryption
- `DecryptBackupFile()` - Decryption to new file
- `IsBackupEncrypted()` - Detection via metadata or header
### **4. Metadata (`internal/metadata/`)**
- **File:** `metadata.go` (Updated)
- Added: `Encrypted bool`
- Added: `EncryptionAlgorithm string`
- **File:** `save.go` (18 lines)
- Metadata save helper
### **5. Testing**
- **File:** `tests/encryption_smoke_test.sh` (Created)
- Basic smoke test script
- **Manual Testing:**
- ✅ Encryption roundtrip test passed
- ✅ Original content ≡ Decrypted content
- ✅ Build successful
- ✅ All crypto tests passing
---
## 🔐 Encryption Specification
### **Algorithm**
- **Cipher:** AES-256 (256-bit key)
- **Mode:** GCM (Galois/Counter Mode)
- **Authentication:** Built-in AEAD (prevents tampering)
### **Key Derivation**
- **Function:** PBKDF2 with SHA-256
- **Iterations:** 600,000 (OWASP recommended 2024)
- **Salt:** 32 bytes random
- **Output:** 32 bytes (256 bits)
### **File Format**
```
+------------------+------------------+-------------+-------------+
| Magic (16 bytes) | Algorithm (16) | Nonce (12) | Salt (32) |
+------------------+------------------+-------------+-------------+
| Encrypted Data (variable length) |
+---------------------------------------------------------------+
```
### **Security Features**
- ✅ Authenticated encryption (prevents tampering)
- ✅ Unique nonce per encryption
- ✅ Strong key derivation (600k iterations)
- ✅ Cryptographically secure random generation
- ✅ Memory-efficient streaming (no full file load)
- ✅ Key validation (32 bytes required)
---
## 📋 Usage Examples
### **Encrypted Backup**
```bash
# Generate key
head -c 32 /dev/urandom | base64 > encryption.key
# Backup with encryption
./dbbackup backup single mydb --encrypt --encryption-key-file encryption.key
# Using environment variable
export DBBACKUP_ENCRYPTION_KEY=$(cat encryption.key)
./dbbackup backup cluster --encrypt
# Using passphrase (auto-derives key)
echo "my-secure-passphrase" > key.txt
./dbbackup backup single mydb --encrypt --encryption-key-file key.txt
```
### **Encrypted Restore**
```bash
# Restore encrypted backup
./dbbackup restore single mydb_20251126.sql \
--encryption-key-file encryption.key \
--confirm
# Auto-detection (checks for encryption header)
# No need to specify encryption flags if metadata exists
# Environment variable
export DBBACKUP_ENCRYPTION_KEY=$(cat encryption.key)
./dbbackup restore cluster cluster_backup.tar.gz --confirm
```
---
## 🧪 Validation Results
### **Crypto Tests**
```
=== RUN TestAESEncryptionDecryption/StreamingEncryptDecrypt
--- PASS: TestAESEncryptionDecryption/StreamingEncryptDecrypt (0.00s)
=== RUN TestAESEncryptionDecryption/FileEncryptDecrypt
--- PASS: TestAESEncryptionDecryption/FileEncryptDecrypt (0.00s)
=== RUN TestAESEncryptionDecryption/WrongKey
--- PASS: TestAESEncryptionDecryption/WrongKey (0.00s)
=== RUN TestKeyDerivation
--- PASS: TestKeyDerivation (1.37s)
=== RUN TestKeyValidation
--- PASS: TestKeyValidation (0.00s)
=== RUN TestLargeData
--- PASS: TestLargeData (0.02s)
PASS
ok dbbackup/internal/crypto 1.402s
```
### **Roundtrip Test**
```
🔐 Testing encryption...
✅ Encryption successful
Encrypted file size: 63 bytes
🔓 Testing decryption...
✅ Decryption successful
✅ ROUNDTRIP TEST PASSED - Data matches perfectly!
Original: "TEST BACKUP DATA - UNENCRYPTED\n"
Decrypted: "TEST BACKUP DATA - UNENCRYPTED\n"
```
### **Build Status**
```bash
$ go build -o dbbackup .
✅ Build successful - No errors
```
---
## 🎯 Performance Characteristics
- **Encryption Speed:** ~1-2 GB/s (streaming, no memory bottleneck)
- **Memory Usage:** O(buffer size), not O(file size)
- **Overhead:** ~56 bytes header + 16 bytes GCM tag per file
- **Key Derivation:** ~1.4s for 600k iterations (intentionally slow)
---
## 📁 Files Changed
**Created (9 files):**
- `internal/crypto/interface.go`
- `internal/crypto/aes.go`
- `internal/crypto/aes_test.go`
- `cmd/encryption.go`
- `internal/backup/encryption.go`
- `internal/metadata/save.go`
- `tests/encryption_smoke_test.sh`
**Updated (4 files):**
- `cmd/backup_impl.go` - Backup encryption integration
- `cmd/backup.go` - Encryption flags
- `cmd/restore.go` - Restore decryption integration
- `internal/metadata/metadata.go` - Encrypted fields
**Total Lines:** ~1,200 lines (including tests)
---
## 🚀 Git History
```bash
7d96ec7 feat: Phase 4 Steps 1-2 - Encryption library (AES-256-GCM)
f9140cf feat: Phase 4 Tasks 3-4 - CLI encryption integration
dd614dd feat: Phase 4 Task 6 - Restore decryption integration
```
---
## ✅ Completion Checklist
- [x] Encryption interface design
- [x] AES-256-GCM implementation
- [x] PBKDF2 key derivation (600k iterations)
- [x] Streaming encryption (memory efficient)
- [x] CLI flags (--encrypt, --encryption-key-file, --encryption-key-env)
- [x] Backup encryption integration (cluster, single, sample)
- [x] Restore decryption integration (single, cluster)
- [x] Metadata tracking (Encrypted, EncryptionAlgorithm)
- [x] Key loading (file, env var, passphrase)
- [x] Auto-detection of encrypted backups
- [x] Comprehensive tests (all passing)
- [x] Roundtrip validation (encrypt → decrypt → verify)
- [x] Build success (no errors)
- [x] Documentation (this report)
- [x] Git commits (3 commits)
- [x] Pushed to remote
---
## 🎉 Phase 4 Status: **COMPLETE**
**Next Phase:** Phase 3B - MySQL Incremental Backups (Day 1 of Week 1)
---
## 📊 Phase 4 vs Plan
| Task | Planned | Actual | Status |
|------|---------|--------|--------|
| Interface Design | 1h | 1h | ✅ |
| AES-256 Impl | 2h | 2h | ✅ |
| CLI Integration (Backup) | 1h | 1h | ✅ |
| Metadata Update | 30min | 30min | ✅ |
| Testing | 1h | 1h | ✅ |
| CLI Integration (Restore) | - | 30min | ✅ Bonus |
| **Total** | **5.5h** | **6h** | ✅ **On Schedule** |
---
**Phase 4 encryption is production-ready!** 🎊

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@@ -1,275 +0,0 @@
# dbbackup v2.1.0 Release Notes
**Release Date:** November 26, 2025
**Git Tag:** v2.1.0
**Commit:** 3a08b90
---
## 🎉 What's New in v2.1.0
### ☁️ Cloud Storage Integration (MAJOR FEATURE)
Complete native support for three major cloud providers:
#### **S3/MinIO/Backblaze B2**
- Native S3-compatible backend
- Streaming multipart uploads (>100MB files)
- Path-style and virtual-hosted-style addressing
- LocalStack/MinIO testing support
#### **Azure Blob Storage**
- Native Azure SDK integration
- Block blob uploads with 100MB staging for large files
- Azurite emulator support for local testing
- SHA-256 metadata storage
#### **Google Cloud Storage**
- Native GCS SDK integration
- 16MB chunked uploads
- Application Default Credentials (ADC)
- fake-gcs-server support for testing
### 🎨 TUI Cloud Configuration
Configure cloud storage directly in interactive mode:
- **Settings Menu** → Cloud Storage section
- Toggle cloud storage on/off
- Select provider (S3, MinIO, B2, Azure, GCS)
- Configure bucket/container, region, credentials
- Enable auto-upload after backups
- Credential masking for security
### 🌐 Cross-Platform Support (10/10 Platforms)
All platforms now build successfully:
- ✅ Linux (x64, ARM64, ARMv7)
- ✅ macOS (Intel, Apple Silicon)
- ✅ Windows (x64, ARM64)
- ✅ FreeBSD (x64)
- ✅ OpenBSD (x64)
- ✅ NetBSD (x64)
**Fixed Issues:**
- Windows: syscall.Rlimit compatibility
- BSD: int64/uint64 type conversions
- OpenBSD: RLIMIT_AS unavailable
- NetBSD: syscall.Statfs API differences
---
## 📋 Complete Feature Set (v2.1.0)
### Database Support
- PostgreSQL (9.x - 16.x)
- MySQL (5.7, 8.x)
- MariaDB (10.x, 11.x)
### Backup Modes
- **Single Database** - Backup one database
- **Cluster Backup** - All databases (PostgreSQL only)
- **Sample Backup** - Reduced-size backups for testing
### Cloud Providers
- **S3** - Amazon S3 (`s3://bucket/path`)
- **MinIO** - Self-hosted S3-compatible (`s3://bucket/path` + endpoint)
- **Backblaze B2** - B2 Cloud Storage (`s3://bucket/path` + endpoint)
- **Azure Blob Storage** - Microsoft Azure (`azure://container/path`)
- **Google Cloud Storage** - Google Cloud (`gcs://bucket/path`)
### Core Features
- ✅ Streaming compression (constant memory usage)
- ✅ Parallel processing (auto CPU detection)
- ✅ SHA-256 verification
- ✅ JSON metadata (.info files)
- ✅ Retention policies (cleanup old backups)
- ✅ Interactive TUI with progress tracking
- ✅ Configuration persistence (.dbbackup.conf)
- ✅ Cloud auto-upload
- ✅ Multipart uploads (>100MB)
- ✅ Progress tracking with ETA
---
## 🚀 Quick Start Examples
### Basic Cloud Backup
```bash
# Configure via TUI
./dbbackup interactive
# Navigate to: Configuration Settings
# Enable: Cloud Storage = true
# Set: Cloud Provider = s3
# Set: Cloud Bucket = my-backups
# Set: Cloud Auto-Upload = true
# Backup will now auto-upload to S3
./dbbackup backup single mydb
```
### Command-Line Cloud Backup
```bash
# S3
export AWS_ACCESS_KEY_ID="your-key"
export AWS_SECRET_ACCESS_KEY="your-secret"
./dbbackup backup single mydb --cloud s3://my-bucket/backups/
# Azure
export AZURE_STORAGE_ACCOUNT="myaccount"
export AZURE_STORAGE_KEY="key"
./dbbackup backup single mydb --cloud azure://my-container/backups/
# GCS (with service account)
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json"
./dbbackup backup single mydb --cloud gcs://my-bucket/backups/
```
### Cloud Restore
```bash
# Restore from S3
./dbbackup restore single s3://my-bucket/backups/mydb_20250126.tar.gz
# Restore from Azure
./dbbackup restore single azure://my-container/backups/mydb_20250126.tar.gz
# Restore from GCS
./dbbackup restore single gcs://my-bucket/backups/mydb_20250126.tar.gz
```
---
## 📦 Installation
### Pre-compiled Binaries
```bash
# Linux x64
curl -L https://git.uuxo.net/uuxo/dbbackup/raw/branch/main/bin/dbbackup_linux_amd64 -o dbbackup
chmod +x dbbackup
# macOS Intel
curl -L https://git.uuxo.net/uuxo/dbbackup/raw/branch/main/bin/dbbackup_darwin_amd64 -o dbbackup
chmod +x dbbackup
# macOS Apple Silicon
curl -L https://git.uuxo.net/uuxo/dbbackup/raw/branch/main/bin/dbbackup_darwin_arm64 -o dbbackup
chmod +x dbbackup
# Windows (PowerShell)
Invoke-WebRequest -Uri "https://git.uuxo.net/uuxo/dbbackup/raw/branch/main/bin/dbbackup_windows_amd64.exe" -OutFile "dbbackup.exe"
```
### Docker
```bash
docker pull git.uuxo.net/uuxo/dbbackup:latest
# With cloud credentials
docker run --rm \
-e AWS_ACCESS_KEY_ID="key" \
-e AWS_SECRET_ACCESS_KEY="secret" \
-e PGHOST=postgres \
-e PGUSER=postgres \
-e PGPASSWORD=secret \
git.uuxo.net/uuxo/dbbackup:latest \
backup single mydb --cloud s3://bucket/backups/
```
---
## 🧪 Testing Cloud Storage
### Local Testing with Emulators
```bash
# MinIO (S3-compatible)
docker compose -f docker-compose.minio.yml up -d
./scripts/test_cloud_storage.sh
# Azure (Azurite)
docker compose -f docker-compose.azurite.yml up -d
./scripts/test_azure_storage.sh
# GCS (fake-gcs-server)
docker compose -f docker-compose.gcs.yml up -d
./scripts/test_gcs_storage.sh
```
---
## 📚 Documentation
- [README.md](README.md) - Main documentation
- [CLOUD.md](CLOUD.md) - Complete cloud storage guide
- [CHANGELOG.md](CHANGELOG.md) - Version history
- [DOCKER.md](DOCKER.md) - Docker usage guide
- [AZURE.md](AZURE.md) - Azure-specific guide
- [GCS.md](GCS.md) - GCS-specific guide
---
## 🔄 Upgrade from v2.0
v2.1.0 is **fully backward compatible** with v2.0. Existing backups and configurations work without changes.
**New in v2.1:**
- Cloud storage configuration in TUI
- Auto-upload functionality
- Cross-platform Windows/NetBSD support
**Migration steps:**
1. Update binary: Download latest from `bin/` directory
2. (Optional) Enable cloud: `./dbbackup interactive` → Settings → Cloud Storage
3. (Optional) Configure provider, bucket, credentials
4. Existing local backups remain unchanged
---
## 🐛 Known Issues
None at this time. All 10 platforms building successfully.
**Report issues:** https://git.uuxo.net/uuxo/dbbackup/issues
---
## 🗺️ Roadmap - What's Next?
### v2.2 - Incremental Backups (Planned)
- File-level incremental for PostgreSQL
- Binary log incremental for MySQL
- Differential backup support
### v2.3 - Encryption (Planned)
- AES-256 at-rest encryption
- Encrypted cloud uploads
- Key management
### v2.4 - PITR (Planned)
- WAL archiving (PostgreSQL)
- Binary log archiving (MySQL)
- Restore to specific timestamp
### v2.5 - Enterprise Features (Planned)
- Prometheus metrics
- Remote restore
- Replication slot management
---
## 👥 Contributors
- uuxo (maintainer)
---
## 📄 License
See LICENSE file in repository.
---
**Full Changelog:** https://git.uuxo.net/uuxo/dbbackup/src/branch/main/CHANGELOG.md

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# dbbackup Version 2.0 Roadmap
## Current Status: v1.1 (Production Ready)
- ✅ 24/24 automated tests passing (100%)
- ✅ PostgreSQL, MySQL, MariaDB support
- ✅ Interactive TUI + CLI
- ✅ Cluster backup/restore
- ✅ Docker support
- ✅ Cross-platform binaries
---
## Version 2.0 Vision: Enterprise-Grade Features
Transform dbbackup into an enterprise-ready backup solution with cloud storage, incremental backups, PITR, and encryption.
**Target Release:** Q2 2026 (3-4 months)
---
## Priority Matrix
```
HIGH IMPACT
┌────────────────────┼────────────────────┐
│ │ │
│ Cloud Storage ⭐ │ Incremental ⭐⭐⭐ │
│ Verification │ PITR ⭐⭐⭐ │
│ Retention │ Encryption ⭐⭐ │
LOW │ │ │ HIGH
EFFORT ─────────────────┼──────────────────── EFFORT
│ │ │
│ Metrics │ Web UI (optional) │
│ Remote Restore │ Replication Slots │
│ │ │
└────────────────────┼────────────────────┘
LOW IMPACT
```
---
## Development Phases
### Phase 1: Foundation (Weeks 1-4)
**Sprint 1: Verification & Retention (2 weeks)**
**Goals:**
- Backup integrity verification with SHA-256 checksums
- Automated retention policy enforcement
- Structured backup metadata
**Features:**
- ✅ Generate SHA-256 checksums during backup
- ✅ Verify backups before/after restore
- ✅ Automatic cleanup of old backups
- ✅ Retention policy: days + minimum count
- ✅ Backup metadata in JSON format
**Deliverables:**
```bash
# New commands
dbbackup verify backup.dump
dbbackup cleanup --retention-days 30 --min-backups 5
# Metadata format
{
"version": "2.0",
"timestamp": "2026-01-15T10:30:00Z",
"database": "production",
"size_bytes": 1073741824,
"sha256": "abc123...",
"db_version": "PostgreSQL 15.3",
"compression": "gzip-9"
}
```
**Implementation:**
- `internal/verification/` - Checksum calculation and validation
- `internal/retention/` - Policy enforcement
- `internal/metadata/` - Backup metadata management
---
**Sprint 2: Cloud Storage (2 weeks)**
**Goals:**
- Upload backups to cloud storage
- Support multiple cloud providers
- Download and restore from cloud
**Providers:**
- ✅ AWS S3
- ✅ MinIO (S3-compatible)
- ✅ Backblaze B2
- ✅ Azure Blob Storage (optional)
- ✅ Google Cloud Storage (optional)
**Configuration:**
```toml
[cloud]
enabled = true
provider = "s3" # s3, minio, azure, gcs, b2
auto_upload = true
[cloud.s3]
bucket = "db-backups"
region = "us-east-1"
endpoint = "s3.amazonaws.com" # Custom for MinIO
access_key = "..." # Or use IAM role
secret_key = "..."
```
**New Commands:**
```bash
# Upload existing backup
dbbackup cloud upload backup.dump
# List cloud backups
dbbackup cloud list
# Download from cloud
dbbackup cloud download backup_id
# Restore directly from cloud
dbbackup restore single s3://bucket/backup.dump --target mydb
```
**Dependencies:**
```go
"github.com/aws/aws-sdk-go-v2/service/s3"
"github.com/Azure/azure-sdk-for-go/sdk/storage/azblob"
"cloud.google.com/go/storage"
```
---
### Phase 2: Advanced Backup (Weeks 5-10)
**Sprint 3: Incremental Backups (3 weeks)**
**Goals:**
- Reduce backup time and storage
- File-level incremental for PostgreSQL
- Binary log incremental for MySQL
**PostgreSQL Strategy:**
```
Full Backup (Base)
├─ Incremental 1 (changed files since base)
├─ Incremental 2 (changed files since inc1)
└─ Incremental 3 (changed files since inc2)
```
**MySQL Strategy:**
```
Full Backup
├─ Binary Log 1 (changes since full)
├─ Binary Log 2
└─ Binary Log 3
```
**Implementation:**
```bash
# Create base backup
dbbackup backup single mydb --mode full
# Create incremental
dbbackup backup single mydb --mode incremental
# Restore (automatically applies incrementals)
dbbackup restore single backup.dump --apply-incrementals
```
**File Structure:**
```
backups/
├── mydb_full_20260115.dump
├── mydb_full_20260115.meta
├── mydb_incr_20260116.dump # Contains only changes
├── mydb_incr_20260116.meta # Points to base: mydb_full_20260115
└── mydb_incr_20260117.dump
```
---
**Sprint 4: Security & Encryption (2 weeks)**
**Goals:**
- Encrypt backups at rest
- Secure key management
- Encrypted cloud uploads
**Features:**
- ✅ AES-256-GCM encryption
- ✅ Argon2 key derivation
- ✅ Multiple key sources (file, env, vault)
- ✅ Encrypted metadata
**Configuration:**
```toml
[encryption]
enabled = true
algorithm = "aes-256-gcm"
key_file = "/etc/dbbackup/encryption.key"
# Or use environment variable
# DBBACKUP_ENCRYPTION_KEY=base64key...
```
**Commands:**
```bash
# Generate encryption key
dbbackup keys generate
# Encrypt existing backup
dbbackup encrypt backup.dump
# Decrypt backup
dbbackup decrypt backup.dump.enc
# Automatic encryption
dbbackup backup single mydb --encrypt
```
**File Format:**
```
+------------------+
| Encryption Header| (IV, algorithm, key ID)
+------------------+
| Encrypted Data | (AES-256-GCM)
+------------------+
| Auth Tag | (HMAC for integrity)
+------------------+
```
---
**Sprint 5: Point-in-Time Recovery - PITR (4 weeks)**
**Goals:**
- Restore to any point in time
- WAL archiving for PostgreSQL
- Binary log archiving for MySQL
**PostgreSQL Implementation:**
```toml
[pitr]
enabled = true
wal_archive_dir = "/backups/wal_archive"
wal_retention_days = 7
# PostgreSQL config (auto-configured by dbbackup)
# archive_mode = on
# archive_command = '/usr/local/bin/dbbackup archive-wal %p %f'
```
**Commands:**
```bash
# Enable PITR
dbbackup pitr enable
# Archive WAL manually
dbbackup archive-wal /var/lib/postgresql/pg_wal/000000010000000000000001
# Restore to point-in-time
dbbackup restore single backup.dump \
--target-time "2026-01-15 14:30:00" \
--target mydb
# Show available restore points
dbbackup pitr timeline
```
**WAL Archive Structure:**
```
wal_archive/
├── 000000010000000000000001
├── 000000010000000000000002
├── 000000010000000000000003
└── timeline.json
```
**MySQL Implementation:**
```bash
# Archive binary logs
dbbackup binlog archive --start-datetime "2026-01-15 00:00:00"
# PITR restore
dbbackup restore single backup.sql \
--target-time "2026-01-15 14:30:00" \
--apply-binlogs
```
---
### Phase 3: Enterprise Features (Weeks 11-16)
**Sprint 6: Observability & Integration (3 weeks)**
**Features:**
1. **Prometheus Metrics**
```go
# Exposed metrics
dbbackup_backup_duration_seconds
dbbackup_backup_size_bytes
dbbackup_backup_success_total
dbbackup_restore_duration_seconds
dbbackup_last_backup_timestamp
dbbackup_cloud_upload_duration_seconds
```
**Endpoint:**
```bash
# Start metrics server
dbbackup metrics serve --port 9090
# Scrape endpoint
curl http://localhost:9090/metrics
```
2. **Remote Restore**
```bash
# Restore to remote server
dbbackup restore single backup.dump \
--remote-host db-replica-01 \
--remote-user postgres \
--remote-port 22 \
--confirm
```
3. **Replication Slots (PostgreSQL)**
```bash
# Create replication slot for continuous WAL streaming
dbbackup replication create-slot backup_slot
# Stream WALs via replication
dbbackup replication stream backup_slot
```
4. **Webhook Notifications**
```toml
[notifications]
enabled = true
webhook_url = "https://slack.com/webhook/..."
notify_on = ["backup_complete", "backup_failed", "restore_complete"]
```
---
## Technical Architecture
### New Directory Structure
```
internal/
├── cloud/ # Cloud storage backends
│ ├── interface.go
│ ├── s3.go
│ ├── azure.go
│ └── gcs.go
├── encryption/ # Encryption layer
│ ├── aes.go
│ ├── keys.go
│ └── vault.go
├── incremental/ # Incremental backup engine
│ ├── postgres.go
│ └── mysql.go
├── pitr/ # Point-in-time recovery
│ ├── wal.go
│ ├── binlog.go
│ └── timeline.go
├── verification/ # Backup verification
│ ├── checksum.go
│ └── validate.go
├── retention/ # Retention policy
│ └── cleanup.go
├── metrics/ # Prometheus metrics
│ └── exporter.go
└── replication/ # Replication management
└── slots.go
```
### Required Dependencies
```go
// Cloud storage
"github.com/aws/aws-sdk-go-v2/service/s3"
"github.com/Azure/azure-sdk-for-go/sdk/storage/azblob"
"cloud.google.com/go/storage"
// Encryption
"crypto/aes"
"crypto/cipher"
"golang.org/x/crypto/argon2"
// Metrics
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/client_golang/prometheus/promhttp"
// PostgreSQL replication
"github.com/jackc/pgx/v5/pgconn"
// Fast file scanning for incrementals
"github.com/karrick/godirwalk"
```
---
## Testing Strategy
### v2.0 Test Coverage Goals
- Minimum 90% code coverage
- Integration tests for all cloud providers
- End-to-end PITR scenarios
- Performance benchmarks for incremental backups
- Encryption/decryption validation
- Multi-database restore tests
### New Test Suites
```bash
# Cloud storage tests
./run_qa_tests.sh --suite cloud
# Incremental backup tests
./run_qa_tests.sh --suite incremental
# PITR tests
./run_qa_tests.sh --suite pitr
# Encryption tests
./run_qa_tests.sh --suite encryption
# Full v2.0 suite
./run_qa_tests.sh --suite v2
```
---
## Migration Path
### v1.x → v2.0 Compatibility
- ✅ All v1.x backups readable in v2.0
- ✅ Configuration auto-migration
- ✅ Metadata format upgrade
- ✅ Backward-compatible commands
### Deprecation Timeline
- v2.0: Warning for old config format
- v2.1: Full migration required
- v3.0: Old format no longer supported
---
## Documentation Updates
### New Docs
- `CLOUD.md` - Cloud storage configuration
- `INCREMENTAL.md` - Incremental backup guide
- `PITR.md` - Point-in-time recovery
- `ENCRYPTION.md` - Encryption setup
- `METRICS.md` - Prometheus integration
---
## Success Metrics
### v2.0 Goals
- 🎯 95%+ test coverage
- 🎯 Support 1TB+ databases with incrementals
- 🎯 PITR with <5 minute granularity
- 🎯 Cloud upload/download >100MB/s
- 🎯 Encryption overhead <10%
- 🎯 Full compatibility with pgBackRest for PostgreSQL
- 🎯 Industry-leading MySQL PITR solution
---
## Release Schedule
- **v2.0-alpha** (End Sprint 3): Cloud + Verification
- **v2.0-beta** (End Sprint 5): + Incremental + PITR
- **v2.0-rc1** (End Sprint 6): + Enterprise features
- **v2.0 GA** (Q2 2026): Production release
---
## What Makes v2.0 Unique
After v2.0, dbbackup will be:
**Only multi-database tool** with full PITR support
**Best-in-class UX** (TUI + CLI + Docker + K8s)
**Feature parity** with pgBackRest (PostgreSQL)
**Superior to mysqldump** with incremental + PITR
**Cloud-native** with multi-provider support
**Enterprise-ready** with encryption + metrics
**Zero-config** for 80% of use cases
---
## Contributing
Want to contribute to v2.0? Check out:
- [CONTRIBUTING.md](CONTRIBUTING.md)
- [Good First Issues](https://git.uuxo.net/uuxo/dbbackup/issues?labels=good-first-issue)
- [v2.0 Milestone](https://git.uuxo.net/uuxo/dbbackup/milestone/2)
---
## Questions?
Open an issue or start a discussion:
- Issues: https://git.uuxo.net/uuxo/dbbackup/issues
- Discussions: https://git.uuxo.net/uuxo/dbbackup/discussions
---
**Next Step:** Sprint 1 - Backup Verification & Retention (January 2026)

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# Sprint 4 Completion Summary
**Sprint 4: Azure Blob Storage & Google Cloud Storage Native Support**
**Status:** ✅ COMPLETE
**Commit:** e484c26
**Tag:** v2.0-sprint4
**Date:** November 25, 2025
---
## Overview
Sprint 4 successfully implements **full native support** for Azure Blob Storage and Google Cloud Storage, closing the architectural gap identified during Sprint 3 evaluation. The URI parser previously accepted `azure://` and `gs://` URIs but the backend factory could not instantiate them. Sprint 4 delivers complete Azure and GCS backends with production-grade features.
---
## What Was Implemented
### 1. Azure Blob Storage Backend (`internal/cloud/azure.go`) - 410 lines
**Native Azure SDK Integration:**
- Uses `github.com/Azure/azure-sdk-for-go/sdk/storage/azblob` v1.6.3
- Full Azure Blob Storage client with shared key authentication
- Support for both production Azure and Azurite emulator
**Block Blob Upload for Large Files:**
- Automatic block blob staging for files >256MB
- 100MB block size with sequential upload
- Base64-encoded block IDs for Azure compatibility
- SHA-256 checksum stored as blob metadata
**Authentication Methods:**
- Account name + account key (primary/secondary)
- Custom endpoint for Azurite emulator
- Default Azurite credentials: `devstoreaccount1`
**Core Operations:**
- `Upload()`: Streaming upload with progress tracking, automatic block staging
- `Download()`: Streaming download with progress tracking
- `List()`: Paginated blob listing with metadata
- `Delete()`: Blob deletion
- `Exists()`: Blob existence check with proper 404 handling
- `GetSize()`: Blob size retrieval
- `Name()`: Returns "azure"
**Progress Tracking:**
- Uses `NewProgressReader()` for consistent progress reporting
- Updates every 100ms during transfers
- Supports both simple and block blob uploads
### 2. Google Cloud Storage Backend (`internal/cloud/gcs.go`) - 270 lines
**Native GCS SDK Integration:**
- Uses `cloud.google.com/go/storage` v1.57.2
- Full GCS client with multiple authentication methods
- Support for both production GCS and fake-gcs-server emulator
**Chunked Upload for Large Files:**
- Automatic chunking with 16MB chunk size
- Streaming upload with `NewWriter()`
- SHA-256 checksum stored as object metadata
**Authentication Methods:**
- Application Default Credentials (ADC) - recommended
- Service account JSON key file
- Custom endpoint for fake-gcs-server emulator
- Workload Identity for GKE
**Core Operations:**
- `Upload()`: Streaming upload with automatic chunking
- `Download()`: Streaming download with progress tracking
- `List()`: Paginated object listing with metadata
- `Delete()`: Object deletion
- `Exists()`: Object existence check with `ErrObjectNotExist`
- `GetSize()`: Object size retrieval
- `Name()`: Returns "gcs"
**Progress Tracking:**
- Uses `NewProgressReader()` for consistent progress reporting
- Supports large file streaming without memory bloat
### 3. Backend Factory Updates (`internal/cloud/interface.go`)
**NewBackend() Switch Cases Added:**
```go
case "azure", "azblob":
return NewAzureBackend(cfg)
case "gs", "gcs", "google":
return NewGCSBackend(cfg)
```
**Updated Error Message:**
- Now includes Azure and GCS in supported providers list
- Was: `"unsupported cloud provider: %s (supported: s3, minio, b2)"`
- Now: `"unsupported cloud provider: %s (supported: s3, minio, b2, azure, gcs)"`
### 4. Configuration Updates (`internal/config/config.go`)
**Updated Field Comments:**
- `CloudProvider`: Now documents "s3", "minio", "b2", "azure", "gcs"
- `CloudBucket`: Changed to "Bucket/container name"
- `CloudRegion`: Added "(for S3, GCS)"
- `CloudEndpoint`: Added "Azurite, fake-gcs-server"
- `CloudAccessKey`: Added "Account name (Azure) / Service account file (GCS)"
- `CloudSecretKey`: Added "Account key (Azure)"
### 5. Azure Testing Infrastructure
**docker-compose.azurite.yml:**
- Azurite emulator on ports 10000-10002
- PostgreSQL 16 on port 5434
- MySQL 8.0 on port 3308
- Health checks for all services
- Automatic Azurite startup with loose mode
**scripts/test_azure_storage.sh - 8 Test Scenarios:**
1. PostgreSQL backup to Azure
2. MySQL backup to Azure
3. List Azure backups
4. Verify backup integrity
5. Restore from Azure (with data verification)
6. Large file upload (300MB with block blob)
7. Delete backup from Azure
8. Cleanup old backups (retention policy)
**Test Features:**
- Colored output (red/green/yellow/blue)
- Exit code tracking (pass/fail counters)
- Service startup with health checks
- Database test data creation
- Cleanup on success, debug mode on failure
### 6. GCS Testing Infrastructure
**docker-compose.gcs.yml:**
- fake-gcs-server emulator on port 4443
- PostgreSQL 16 on port 5435
- MySQL 8.0 on port 3309
- Health checks for all services
- HTTP mode for emulator (no TLS)
**scripts/test_gcs_storage.sh - 8 Test Scenarios:**
1. PostgreSQL backup to GCS
2. MySQL backup to GCS
3. List GCS backups
4. Verify backup integrity
5. Restore from GCS (with data verification)
6. Large file upload (200MB with chunked upload)
7. Delete backup from GCS
8. Cleanup old backups (retention policy)
**Test Features:**
- Colored output (red/green/yellow/blue)
- Exit code tracking (pass/fail counters)
- Automatic bucket creation via curl
- Service startup with health checks
- Database test data creation
- Cleanup on success, debug mode on failure
### 7. Azure Documentation (`AZURE.md` - 600+ lines)
**Comprehensive Coverage:**
- Quick start guide with 3-step setup
- URI syntax and examples
- 3 authentication methods (URI params, env vars, connection string)
- Container setup and configuration
- Access tiers (Hot/Cool/Archive)
- Lifecycle management policies
- Usage examples (backup, restore, verify, list, cleanup)
- Advanced features (block blob upload, progress tracking, concurrent ops)
- Azurite emulator setup and testing
- Best practices (security, performance, cost, reliability, organization)
- Troubleshooting guide with 6 problem categories
- Additional resources and support links
**Key Examples:**
- Production Azure backup with account key
- Azurite local testing
- Scheduled backups with cron
- Large file handling (>256MB)
- Metadata and checksums
### 8. GCS Documentation (`GCS.md` - 600+ lines)
**Comprehensive Coverage:**
- Quick start guide with 3-step setup
- URI syntax and examples (supports both gs:// and gcs://)
- 3 authentication methods (ADC, service account, Workload Identity)
- IAM permissions and roles
- Bucket setup and configuration
- Storage classes (Standard/Nearline/Coldline/Archive)
- Lifecycle management policies
- Regional configuration
- Usage examples (backup, restore, verify, list, cleanup)
- Advanced features (chunked upload, progress tracking, versioning, CMEK)
- fake-gcs-server emulator setup and testing
- Best practices (security, performance, cost, reliability, organization)
- Monitoring and alerting with Cloud Monitoring
- Troubleshooting guide with 6 problem categories
- Additional resources and support links
**Key Examples:**
- ADC authentication (recommended)
- Service account JSON key file
- Workload Identity for GKE
- Scheduled backups with cron and systemd timer
- Large file handling (chunked upload)
- Object versioning and CMEK
### 9. Updated Main Cloud Documentation (`CLOUD.md`)
**Supported Providers List Updated:**
- Added "Azure Blob Storage (native support)"
- Added "Google Cloud Storage (native support)"
**URI Syntax Section Updated:**
- `azure://` or `azblob://` - Azure Blob Storage (native support)
- `gs://` or `gcs://` - Google Cloud Storage (native support)
**Provider-Specific Setup:**
- Replaced GCS S3-compatibility section with native GCS section
- Added Azure Blob Storage section with quick start
- Both sections link to comprehensive guides (AZURE.md, GCS.md)
**Features Documented:**
- Azure: Block blob upload, Azurite support, native SDK
- GCS: Chunked upload, fake-gcs-server support, ADC
**FAQ Updated:**
- Added Azure and GCS to cost comparison table
**Related Documentation:**
- Added links to AZURE.md and GCS.md
- Added links to docker-compose files and test scripts
---
## Code Statistics
### Files Created:
1. `internal/cloud/azure.go` - 410 lines (Azure backend)
2. `internal/cloud/gcs.go` - 270 lines (GCS backend)
3. `AZURE.md` - 600+ lines (Azure documentation)
4. `GCS.md` - 600+ lines (GCS documentation)
5. `docker-compose.azurite.yml` - 68 lines
6. `docker-compose.gcs.yml` - 62 lines
7. `scripts/test_azure_storage.sh` - 350+ lines
8. `scripts/test_gcs_storage.sh` - 350+ lines
### Files Modified:
1. `internal/cloud/interface.go` - Added Azure/GCS cases to NewBackend()
2. `internal/config/config.go` - Updated field comments
3. `CLOUD.md` - Added Azure/GCS sections
4. `go.mod` - Added Azure and GCS dependencies
5. `go.sum` - Dependency checksums
### Total Impact:
- **Lines Added:** 2,990
- **Lines Modified:** 28
- **New Files:** 8
- **Modified Files:** 6
- **New Dependencies:** ~50 packages (Azure SDK + GCS SDK)
- **Binary Size:** 68MB (includes Azure/GCS SDKs)
---
## Dependencies Added
### Azure SDK:
```
github.com/Azure/azure-sdk-for-go/sdk/azcore v1.20.0
github.com/Azure/azure-sdk-for-go/sdk/storage/azblob v1.6.3
github.com/Azure/azure-sdk-for-go/sdk/internal v1.11.2
```
### Google Cloud SDK:
```
cloud.google.com/go/storage v1.57.2
google.golang.org/api v0.256.0
cloud.google.com/go/auth v0.17.0
cloud.google.com/go/iam v1.5.2
google.golang.org/grpc v1.76.0
golang.org/x/oauth2 v0.33.0
```
### Transitive Dependencies:
- ~50 additional packages for Azure and GCS support
- OpenTelemetry instrumentation
- gRPC and protobuf
- OAuth2 and authentication libraries
---
## Testing Verification
### Build Verification:
```bash
$ go build -o dbbackup_sprint4 .
BUILD SUCCESSFUL
$ ls -lh dbbackup_sprint4
-rwxr-xr-x. 1 root root 68M Nov 25 21:30 dbbackup_sprint4
```
### Test Scripts Created:
1. **Azure:** `./scripts/test_azure_storage.sh`
- 8 comprehensive test scenarios
- PostgreSQL and MySQL backup/restore
- 300MB large file upload (block blob verification)
- Retention policy testing
2. **GCS:** `./scripts/test_gcs_storage.sh`
- 8 comprehensive test scenarios
- PostgreSQL and MySQL backup/restore
- 200MB large file upload (chunked upload verification)
- Retention policy testing
### Integration Test Coverage:
- Upload operations with progress tracking
- Download operations with verification
- Large file handling (block/chunked upload)
- Backup integrity verification (SHA-256)
- Restore operations with data validation
- Cleanup and retention policies
- Container/bucket management
- Error handling and edge cases
---
## URI Support Comparison
### Before Sprint 4:
```bash
# These URIs would parse but fail with "unsupported cloud provider"
azure://container/backup.sql
gs://bucket/backup.sql
```
### After Sprint 4:
```bash
# Azure URI - FULLY SUPPORTED
azure://container/backups/db.sql?account=myaccount&key=ACCOUNT_KEY
# Azure with Azurite
azure://test-backups/db.sql?endpoint=http://localhost:10000
# GCS URI - FULLY SUPPORTED
gs://bucket/backups/db.sql
# GCS with service account
gs://bucket/backups/db.sql?credentials=/path/to/key.json
# GCS with fake-gcs-server
gs://test-backups/db.sql?endpoint=http://localhost:4443/storage/v1
```
---
## Multi-Cloud Feature Parity
| Feature | S3 | MinIO | B2 | Azure | GCS |
|---------|----|----|----|----|-----|
| Native SDK | ✅ | ✅ | ✅ | ✅ | ✅ |
| Multipart Upload | ✅ | ✅ | ✅ | ✅ (Block) | ✅ (Chunked) |
| Progress Tracking | ✅ | ✅ | ✅ | ✅ | ✅ |
| SHA-256 Checksums | ✅ | ✅ | ✅ | ✅ | ✅ |
| Emulator Support | ✅ | ✅ | ❌ | ✅ (Azurite) | ✅ (fake-gcs) |
| Test Suite | ✅ | ✅ | ❌ | ✅ (8 tests) | ✅ (8 tests) |
| Documentation | ✅ | ✅ | ✅ | ✅ (600+ lines) | ✅ (600+ lines) |
| Large Files | ✅ | ✅ | ✅ | ✅ (>256MB) | ✅ (16MB chunks) |
| Auto-detect | ✅ | ✅ | ✅ | ✅ | ✅ |
---
## Example Usage
### Azure Backup:
```bash
# Production Azure
dbbackup backup postgres \
--host localhost \
--database mydb \
--cloud "azure://prod-backups/postgres/db.sql?account=myaccount&key=KEY"
# Azurite emulator
dbbackup backup postgres \
--host localhost \
--database mydb \
--cloud "azure://test-backups/db.sql?endpoint=http://localhost:10000"
```
### GCS Backup:
```bash
# Using Application Default Credentials
dbbackup backup postgres \
--host localhost \
--database mydb \
--cloud "gs://prod-backups/postgres/db.sql"
# With service account
dbbackup backup postgres \
--host localhost \
--database mydb \
--cloud "gs://prod-backups/db.sql?credentials=/path/to/key.json"
# fake-gcs-server emulator
dbbackup backup postgres \
--host localhost \
--database mydb \
--cloud "gs://test-backups/db.sql?endpoint=http://localhost:4443/storage/v1"
```
---
## Git History
```bash
Commit: e484c26
Author: [Your Name]
Date: November 25, 2025
feat: Sprint 4 - Azure Blob Storage and Google Cloud Storage support
Tag: v2.0-sprint4
Files Changed: 14
Insertions: 2,990
Deletions: 28
```
**Push Status:**
- ✅ Pushed to remote: git.uuxo.net:uuxo/dbbackup
- ✅ Tag v2.0-sprint4 pushed
- ✅ All changes synchronized
---
## Architecture Impact
### Before Sprint 4:
```
URI Parser ──────► Backend Factory
│ │
├─ s3:// ├─ S3Backend ✅
├─ minio:// ├─ S3Backend (MinIO mode) ✅
├─ b2:// ├─ S3Backend (B2 mode) ✅
├─ azure:// └─ ERROR ❌
└─ gs:// ERROR ❌
```
### After Sprint 4:
```
URI Parser ──────► Backend Factory
│ │
├─ s3:// ├─ S3Backend ✅
├─ minio:// ├─ S3Backend (MinIO mode) ✅
├─ b2:// ├─ S3Backend (B2 mode) ✅
├─ azure:// ├─ AzureBackend ✅
└─ gs:// └─ GCSBackend ✅
```
**Gap Closed:** URI parser and backend factory now fully aligned.
---
## Best Practices Implemented
### Azure:
1. **Security:** Account key in URI params, support for connection strings
2. **Performance:** Block blob staging for files >256MB
3. **Reliability:** SHA-256 checksums in metadata
4. **Testing:** Azurite emulator with full test suite
5. **Documentation:** 600+ lines covering all use cases
### GCS:
1. **Security:** ADC preferred, service account JSON support
2. **Performance:** 16MB chunked upload for large files
3. **Reliability:** SHA-256 checksums in metadata
4. **Testing:** fake-gcs-server emulator with full test suite
5. **Documentation:** 600+ lines covering all use cases
---
## Sprint 4 Objectives - COMPLETE ✅
| Objective | Status | Notes |
|-----------|--------|-------|
| Azure backend implementation | ✅ | 410 lines, block blob support |
| GCS backend implementation | ✅ | 270 lines, chunked upload |
| Backend factory integration | ✅ | NewBackend() updated |
| Azure testing infrastructure | ✅ | Azurite + 8 tests |
| GCS testing infrastructure | ✅ | fake-gcs-server + 8 tests |
| Azure documentation | ✅ | AZURE.md 600+ lines |
| GCS documentation | ✅ | GCS.md 600+ lines |
| Configuration updates | ✅ | config.go comments |
| Build verification | ✅ | 68MB binary |
| Git commit and tag | ✅ | e484c26, v2.0-sprint4 |
| Remote push | ✅ | git.uuxo.net |
---
## Known Limitations
1. **Container/Bucket Creation:**
- Disabled in code (CreateBucket not in Config struct)
- Users must create containers/buckets manually
- Future enhancement: Add CreateBucket to Config
2. **Authentication:**
- Azure: Limited to account key (no managed identity)
- GCS: No metadata server support for GCE VMs
- Future enhancement: Support for managed identities
3. **Advanced Features:**
- No support for Azure SAS tokens
- No support for GCS signed URLs
- No support for lifecycle policies via API
- Future enhancement: Policy management
---
## Performance Characteristics
### Azure:
- **Small files (<256MB):** Single request upload
- **Large files (>256MB):** Block blob staging (100MB blocks)
- **Download:** Streaming with progress (no size limit)
- **Network:** Efficient with Azure SDK connection pooling
### GCS:
- **All files:** Chunked upload with 16MB chunks
- **Upload:** Streaming with `NewWriter()` (no memory bloat)
- **Download:** Streaming with progress (no size limit)
- **Network:** Efficient with GCS SDK connection pooling
---
## Next Steps (Post-Sprint 4)
### Immediate:
1. Run integration tests: `./scripts/test_azure_storage.sh`
2. Run integration tests: `./scripts/test_gcs_storage.sh`
3. Update README.md with Sprint 4 achievements
4. Create Sprint 4 demo video (optional)
### Future Enhancements:
1. Add managed identity support (Azure, GCS)
2. Implement SAS token support (Azure)
3. Implement signed URL support (GCS)
4. Add lifecycle policy management
5. Add container/bucket creation to Config
6. Optimize block/chunk sizes based on file size
7. Add progress reporting to CLI output
8. Create performance benchmarks
### Sprint 5 Candidates:
- Cloud-to-cloud transfers
- Multi-region replication
- Backup encryption at rest
- Incremental backups
- Point-in-time recovery
---
## Conclusion
Sprint 4 successfully delivers **complete multi-cloud support** for dbbackup v2.0. With native Azure Blob Storage and Google Cloud Storage backends, users can now seamlessly backup to all major cloud providers. The implementation includes production-grade features (block/chunked uploads, progress tracking, integrity verification), comprehensive testing infrastructure (emulators + 16 tests), and extensive documentation (1,200+ lines).
**Sprint 4 closes the architectural gap** identified during Sprint 3 evaluation, where URI parsing supported Azure and GCS but the backend factory could not instantiate them. The system now provides **consistent** cloud storage experience across S3, MinIO, Backblaze B2, Azure Blob Storage, and Google Cloud Storage.
**Total Sprint 4 Impact:** 2,990 lines of code, 1,200+ lines of documentation, 16 integration tests, 50+ new dependencies, and **zero** API gaps remaining.
**Status:** Production-ready for Azure and GCS deployments. ✅
---
**Sprint 4 Complete - November 25, 2025**

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@@ -1,268 +0,0 @@
# Backup and Restore Performance Statistics
## Test Environment
**Date:** November 19, 2025
**System Configuration:**
- CPU: 16 cores
- RAM: 30 GB
- Storage: 301 GB total, 214 GB available
- OS: Linux (CentOS/RHEL)
- PostgreSQL: 16.10 (target), 13.11 (source)
## Cluster Backup Performance
**Operation:** Full cluster backup (17 databases)
**Start Time:** 04:44:08 UTC
**End Time:** 04:56:14 UTC
**Duration:** 12 minutes 6 seconds (726 seconds)
### Backup Results
| Metric | Value |
|--------|-------|
| Total Databases | 17 |
| Successful | 17 (100%) |
| Failed | 0 (0%) |
| Uncompressed Size | ~50 GB |
| Compressed Archive | 34.4 GB |
| Compression Ratio | ~31% reduction |
| Throughput | ~47 MB/s |
### Database Breakdown
| Database | Size | Backup Time | Special Notes |
|----------|------|-------------|---------------|
| d7030 | 34.0 GB | ~36 minutes | 35,000 large objects (BLOBs) |
| testdb_50gb.sql.gz.sql.gz | 465.2 MB | ~5 minutes | Plain format + streaming compression |
| testdb_restore_performance_test.sql.gz.sql.gz | 465.2 MB | ~5 minutes | Plain format + streaming compression |
| 14 smaller databases | ~50 MB total | <1 minute | Custom format, minimal data |
### Backup Configuration
```
Compression Level: 6
Parallel Jobs: 16
Dump Jobs: 8
CPU Workload: Balanced
Max Cores: 32 (detected: 16)
Format: Automatic selection (custom for <5GB, plain+gzip for >5GB)
```
### Key Features Validated
1. **Parallel Processing:** Multiple databases backed up concurrently
2. **Automatic Format Selection:** Large databases use plain format with external compression
3. **Large Object Handling:** 35,000 BLOBs in d7030 backed up successfully
4. **Configuration Persistence:** Settings auto-saved to .dbbackup.conf
5. **Metrics Collection:** Session summary generated (17 operations, 100% success rate)
## Cluster Restore Performance
**Operation:** Full cluster restore from 34.4 GB archive
**Start Time:** 04:58:27 UTC
**End Time:** ~06:10:00 UTC (estimated)
**Duration:** ~72 minutes (in progress)
### Restore Progress
| Metric | Value |
|--------|-------|
| Archive Size | 34.4 GB (35 GB on disk) |
| Extraction Method | tar.gz with streaming decompression |
| Databases to Restore | 17 |
| Databases Completed | 16/17 (94%) |
| Current Status | Restoring database 17/17 |
### Database Restore Breakdown
| Database | Restored Size | Restore Method | Duration | Special Notes |
|----------|---------------|----------------|----------|---------------|
| d7030 | 42 GB | psql + gunzip | ~48 minutes | 35,000 large objects restored without errors |
| testdb_50gb.sql.gz.sql.gz | ~6.7 GB | psql + gunzip | ~15 minutes | Streaming decompression |
| testdb_restore_performance_test.sql.gz.sql.gz | ~6.7 GB | psql + gunzip | ~15 minutes | Final database (in progress) |
| 14 smaller databases | <100 MB each | pg_restore | <5 seconds each | Custom format dumps |
### Restore Configuration
```
Method: Sequential (automatic detection of large objects)
Jobs: Reduced to prevent lock contention
Safety: Clean restore (drop existing databases)
Validation: Pre-flight disk space checks
Error Handling: Ignorable errors allowed, critical errors fail fast
```
### Critical Fixes Validated
1. **No Lock Exhaustion:** d7030 with 35,000 large objects restored successfully
- Previous issue: --single-transaction held all locks simultaneously
- Fix: Removed --single-transaction flag
- Result: Each object restored in separate transaction, locks released incrementally
2. **Proper Error Handling:** No false failures
- Previous issue: --exit-on-error treated "already exists" as fatal
- Fix: Removed flag, added isIgnorableError() classification with regex patterns
- Result: PostgreSQL continues on ignorable errors as designed
3. **Process Cleanup:** Zero orphaned processes
- Fix: Parent context propagation + explicit cleanup scan
- Result: All pg_restore/psql processes terminated cleanly
4. **Memory Efficiency:** Constant ~1GB usage regardless of database size
- Method: Streaming command output
- Result: 42GB database restored with minimal memory footprint
## Performance Analysis
### Backup Performance
**Strengths:**
- Fast parallel backup of small databases (completed in seconds)
- Efficient handling of large databases with streaming compression
- Automatic format selection optimizes for size vs. speed
- Perfect success rate (17/17 databases)
**Throughput:**
- Overall: ~47 MB/s average
- d7030 (42GB database): ~19 MB/s sustained
### Restore Performance
**Strengths:**
- Smart detection of large objects triggers sequential restore
- No lock contention issues with 35,000 large objects
- Clean database recreation ensures consistent state
- Progress tracking with accurate ETA
**Throughput:**
- Overall: ~8 MB/s average (decompression + restore)
- d7030 restore: ~15 MB/s sustained
- Small databases: Near-instantaneous (<5 seconds each)
### Bottlenecks Identified
1. **Large Object Restore:** Sequential processing required to prevent lock exhaustion
- Impact: d7030 took ~48 minutes (single-threaded)
- Mitigation: Necessary trade-off for data integrity
2. **Decompression Overhead:** gzip decompression is CPU-intensive
- Impact: ~40% slower than uncompressed restore
- Mitigation: Using pigz for parallel compression where available
## Reliability Improvements Validated
### Context Cleanup
- **Implementation:** sync.Once + io.Closer interface
- **Result:** No memory leaks, proper resource cleanup on exit
### Error Classification
- **Implementation:** Regex-based pattern matching (6 error categories)
- **Result:** Robust error handling, no false positives
### Process Management
- **Implementation:** Thread-safe ProcessManager with mutex
- **Result:** Zero orphaned processes on Ctrl+C
### Disk Space Caching
- **Implementation:** 30-second TTL cache
- **Result:** ~90% reduction in syscall overhead for repeated checks
### Metrics Collection
- **Implementation:** Structured logging with operation metrics
- **Result:** Complete observability with success rates, throughput, error counts
## Real-World Test Results
### Production Database (d7030)
**Characteristics:**
- Size: 42 GB
- Large Objects: 35,000 BLOBs
- Schema: Complex with foreign keys, indexes, constraints
**Backup Results:**
- Time: 36 minutes
- Compressed Size: 31.3 GB (25.7% compression)
- Success: 100%
- Errors: None
**Restore Results:**
- Time: 48 minutes
- Final Size: 42 GB
- Large Objects Verified: 35,000
- Success: 100%
- Errors: None (all "already exists" warnings properly ignored)
### Configuration Persistence
**Feature:** Auto-save/load settings per directory
**Test Results:**
- Config saved after successful backup: Yes
- Config loaded on next run: Yes
- Override with flags: Yes
- Security (passwords excluded): Yes
**Sample .dbbackup.conf:**
```ini
[database]
type = postgres
host = localhost
port = 5432
user = postgres
database = postgres
ssl_mode = prefer
[backup]
backup_dir = /var/lib/pgsql/db_backups
compression = 6
jobs = 16
dump_jobs = 8
[performance]
cpu_workload = balanced
max_cores = 32
```
## Cross-Platform Compatibility
**Platforms Tested:**
- Linux x86_64: Success
- Build verification: 9/10 platforms compile successfully
**Supported Platforms:**
- Linux (Intel/AMD 64-bit, ARM64, ARMv7)
- macOS (Intel 64-bit, Apple Silicon ARM64)
- Windows (Intel/AMD 64-bit, ARM64)
- FreeBSD (Intel/AMD 64-bit)
- OpenBSD (Intel/AMD 64-bit)
## Conclusion
The backup and restore system demonstrates production-ready performance and reliability:
1. **Scalability:** Successfully handles databases from megabytes to 42+ gigabytes
2. **Reliability:** 100% success rate across 17 databases, zero errors
3. **Efficiency:** Constant memory usage (~1GB) regardless of database size
4. **Safety:** Comprehensive validation, error handling, and process management
5. **Usability:** Configuration persistence, progress tracking, intelligent defaults
**Critical Fixes Verified:**
- Large object restore works correctly (35,000 objects)
- No lock exhaustion issues
- Proper error classification
- Clean process cleanup
- All reliability improvements functioning as designed
**Recommended Use Cases:**
- Production database backups (any size)
- Disaster recovery operations
- Database migration and cloning
- Development/staging environment synchronization
- Automated backup schedules via cron/systemd
The system is production-ready for PostgreSQL clusters of any size.