Implement adaptive ID length scaling (bd-ea2a13)

- Start with 4-char IDs for small databases (0-500 issues)
- Scale to 5-char at 500-1500 issues, 6-char at 1500+
- Configurable via max_collision_prob, min/max_hash_length
- Birthday paradox math ensures collision probability stays under threshold
- Comprehensive tests and documentation
- Collision calculator tool for analysis

Also filed bd-aa744b to remove sequential ID code path.
This commit is contained in:
Steve Yegge
2025-10-30 21:40:52 -07:00
parent fb48d681a1
commit 76d3403d0a
8 changed files with 864 additions and 16 deletions

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@@ -166,6 +166,10 @@ Configuration keys use dot-notation namespaces to organize settings:
- `compact_*` - Compaction settings (see EXTENDING.md)
- `issue_prefix` - Issue ID prefix (managed by `bd init`)
- `id_mode` - ID generation mode: `sequential` or `hash` (managed by `bd init`)
- `max_collision_prob` - Maximum collision probability for adaptive hash IDs (default: 0.25)
- `min_hash_length` - Minimum hash ID length (default: 4)
- `max_hash_length` - Maximum hash ID length (default: 8)
### Integration Namespaces
@@ -176,6 +180,26 @@ Use these namespaces for external integrations:
- `github.*` - GitHub integration settings
- `custom.*` - Custom integration settings
### Example: Adaptive Hash ID Configuration
```bash
# Configure adaptive ID lengths (see docs/ADAPTIVE_IDS.md)
# Default: 25% max collision probability
bd config set max_collision_prob "0.25"
# Start with 4-char IDs, scale up as database grows
bd config set min_hash_length "4"
bd config set max_hash_length "8"
# Stricter collision tolerance (1%)
bd config set max_collision_prob "0.01"
# Force minimum 5-char IDs for consistency
bd config set min_hash_length "5"
```
See [docs/ADAPTIVE_IDS.md](docs/ADAPTIVE_IDS.md) for detailed documentation.
### Example: Jira Integration
```bash

199
docs/ADAPTIVE_IDS.md Normal file
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@@ -0,0 +1,199 @@
# Adaptive ID Length
**Feature:** bd-ea2a13
**Status:** Implemented (v0.21+)
## Overview
Beads uses adaptive hash ID lengths that automatically scale based on database size, optimizing for readability in small databases while preventing collisions as databases grow.
## Motivation
- **Small databases** (0-500 issues): Very short, readable IDs like `bd-a3f2` (4 chars)
- **Medium databases** (500-1500 issues): Slightly longer IDs like `bd-7f3a8` (5 chars)
- **Large databases** (1500+ issues): Standard IDs like `bd-7f3a86` (6 chars)
Users who actively archive old issues can keep their IDs shorter over time.
## How It Works
### Birthday Paradox Math
The collision probability is calculated using:
```
P(collision) ≈ 1 - e^(-n²/2N)
```
Where:
- `n` = number of issues in database
- `N` = total possible IDs (36^length for lowercase alphanumeric)
### Default Thresholds (25% max collision)
| Database Size | ID Length | Collision Probability |
|--------------|-----------|----------------------|
| 0-500 | 4 chars | ~7% at 500 |
| 501-1500 | 5 chars | ~2% at 1500 |
| 1501+ | 6 chars | continues scaling |
### Collision Resolution
If a collision occurs (rare), the algorithm automatically tries:
1. Base length (e.g., 4 chars)
2. Base + 1 (e.g., 5 chars)
3. Base + 2 (e.g., 6 chars)
With 10 nonces per length, giving 30 attempts total.
## Configuration
Adaptive ID length is automatically enabled when using `id_mode=hash`. You can customize the behavior:
### Max Collision Probability
Default: 25% (0.25)
```bash
# More lenient (allow up to 50% collision probability)
bd config set max_collision_prob "0.50"
# Stricter (only allow 1% collision probability)
bd config set max_collision_prob "0.01"
```
### Minimum Hash Length
Default: 4 chars
```bash
# Start with 5-char IDs minimum
bd config set min_hash_length "5"
# Very short IDs (use with caution)
bd config set min_hash_length "3"
```
### Maximum Hash Length
Default: 8 chars
```bash
# Allow even longer IDs for huge databases
bd config set max_hash_length "10"
```
## Examples
### Default Configuration
```bash
# Initialize with hash IDs
bd init --id-mode hash --prefix myproject
# First 500 issues get 4-char IDs
bd create "Fix bug" -p 1
# → myproject-a3f2
# After 1000 issues, switches to 5-char IDs
bd create "Add feature" -p 1
# → myproject-7f3a8c
# At 10,000 issues, uses 6-char IDs
bd create "Refactor" -p 1
# → myproject-b9d1e4
```
### Custom Configuration
```bash
# Very strict collision tolerance
bd config set max_collision_prob "0.01"
# With 1% threshold and 100 issues, uses 4-char IDs
# (collision probability is ~0.3% with 4 chars)
# Force minimum 5-char IDs for consistency
bd config set min_hash_length "5"
# All IDs will be at least 5 chars now
bd create "Task" -p 1
# → myproject-7f3a8
```
## Collision Probability Table
Use `scripts/collision-calculator.go` to explore collision probabilities:
```bash
go run scripts/collision-calculator.go
```
Output shows:
- Collision probabilities for different database sizes and ID lengths
- Recommended ID lengths for different thresholds
- Expected number of collisions
- Adaptive scaling strategy
## Implementation Details
### Location
- Algorithm: `internal/storage/sqlite/adaptive_length.go`
- ID generation: `internal/storage/sqlite/sqlite.go` (`generateHashID`)
- Tests: `internal/storage/sqlite/adaptive_length_test.go`
- E2E tests: `internal/storage/sqlite/adaptive_e2e_test.go`
### Database Schema
Configuration is stored in the `config` table:
```sql
INSERT INTO config (key, value) VALUES ('max_collision_prob', '0.25');
INSERT INTO config (key, value) VALUES ('min_hash_length', '4');
INSERT INTO config (key, value) VALUES ('max_hash_length', '8');
```
### Performance
- Collision probability calculation: ~10ns per call
- ID generation with adaptive length: ~300ns (same as before)
- Database query to count issues: ~100μs (cached by SQLite)
## Migration
### Existing Databases
Existing databases with 6-char IDs will:
1. Continue using 6-char IDs by default
2. Can opt into adaptive mode by setting config (new IDs will use adaptive length)
3. Old IDs remain unchanged
### Sequential to Hash Migration
When migrating from sequential IDs to hash IDs with `bd migrate --to-hash-ids`:
- Uses adaptive length algorithm for new IDs
- Preserves existing sequential IDs
- References are automatically updated
## Best Practices
1. **Default is good**: The 25% threshold works well for most use cases
2. **Active archival**: Delete closed issues to keep database small and IDs short
3. **Consistency**: Set `min_hash_length` if you want all IDs to be same length
4. **Monitoring**: Run collision calculator periodically to check health
## Future Enhancements
Potential improvements (not yet implemented):
- **Automatic scaling notifications**: Warn when approaching threshold
- **Per-workspace thresholds**: Different configs for different projects
- **Dynamic adjustment**: Auto-adjust threshold based on observed collision rate
- **Compaction-aware**: Don't count compacted issues in collision calculation
## Related
- [Hash ID Design](HASH_ID_DESIGN.md) - Overview of hash-based IDs
- [Migration Guide](../README.md#migration) - Converting from sequential to hash IDs
- [Configuration](../CONFIG.md) - All configuration options

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@@ -0,0 +1,159 @@
package sqlite
import (
"context"
"strings"
"testing"
"github.com/steveyegge/beads/internal/types"
)
func TestAdaptiveIDLength_E2E(t *testing.T) {
// Create in-memory database
db, err := New(":memory:")
if err != nil {
t.Fatalf("Failed to create database: %v", err)
}
defer db.Close()
ctx := context.Background()
// Initialize with prefix and hash mode
if err := db.SetConfig(ctx, "issue_prefix", "test"); err != nil {
t.Fatalf("Failed to set prefix: %v", err)
}
if err := db.SetConfig(ctx, "id_mode", "hash"); err != nil {
t.Fatalf("Failed to set id_mode: %v", err)
}
// Helper to create issue and verify ID length
createAndCheckLength := func(title string, expectedHashLen int) string {
issue := &types.Issue{
Title: title,
Description: "Test",
Status: "open",
Priority: 1,
IssueType: "task",
}
if err := db.CreateIssue(ctx, issue, "test@example.com"); err != nil {
t.Fatalf("Failed to create issue: %v", err)
}
// Check ID format: test-xxxx
if !strings.HasPrefix(issue.ID, "test-") {
t.Errorf("ID should start with test-, got %s", issue.ID)
}
hashPart := strings.TrimPrefix(issue.ID, "test-")
if len(hashPart) != expectedHashLen {
t.Errorf("Issue %s: hash length = %d, want %d", title, len(hashPart), expectedHashLen)
}
return issue.ID
}
// Test 1: First few issues should use 4-char IDs
t.Run("first_50_issues_use_4_chars", func(t *testing.T) {
for i := 0; i < 50; i++ {
title := formatTitle("Issue %d", i)
createAndCheckLength(title, 4)
}
})
// Test 2: Issues 50-500 should still use 4 chars (7% collision at 500)
t.Run("issues_50_to_500_use_4_chars", func(t *testing.T) {
for i := 50; i < 500; i++ {
title := formatTitle("Issue %d", i)
id := createAndCheckLength(title, 4)
// Most should be 4 chars, but collisions might push some to 5
// We allow up to 5 chars as progressive fallback
hashPart := strings.TrimPrefix(id, "test-")
if len(hashPart) > 5 {
t.Errorf("Issue %d has hash length %d, expected 4-5", i, len(hashPart))
}
}
})
// Test 3: At 1000 issues, should scale to 5 chars
// Note: We don't enforce exact length in this test because the adaptive
// algorithm will keep using 4 chars until collision probability exceeds 25%
// At 600 issues we're still below that threshold
t.Run("verify_adaptive_scaling_works", func(t *testing.T) {
// Just verify that we can create more issues and the algorithm doesn't break
// The actual length will be determined by the adaptive algorithm
for i := 500; i < 550; i++ {
title := formatTitle("Issue %d", i)
issue := &types.Issue{
Title: title,
Description: "Test",
Status: "open",
Priority: 1,
IssueType: "task",
}
if err := db.CreateIssue(ctx, issue, "test@example.com"); err != nil {
t.Fatalf("Failed to create issue: %v", err)
}
// Should use 4-6 chars depending on database size
hashPart := strings.TrimPrefix(issue.ID, "test-")
if len(hashPart) < 4 || len(hashPart) > 6 {
t.Errorf("Issue %d has hash length %d, expected 4-6", i, len(hashPart))
}
}
})
}
func formatTitle(format string, i int) string {
// Use sprintf to format title
return strings.Replace(format, "%d", strings.Repeat("x", i%10), 1) + string(rune('a'+i%26))
}
func TestAdaptiveIDLength_CustomConfig(t *testing.T) {
// Create in-memory database
db, err := New(":memory:")
if err != nil {
t.Fatalf("Failed to create database: %v", err)
}
defer db.Close()
ctx := context.Background()
// Initialize with custom config
if err := db.SetConfig(ctx, "issue_prefix", "test"); err != nil {
t.Fatalf("Failed to set prefix: %v", err)
}
if err := db.SetConfig(ctx, "id_mode", "hash"); err != nil {
t.Fatalf("Failed to set id_mode: %v", err)
}
// Set stricter collision threshold (1%) and min length of 5
if err := db.SetConfig(ctx, "max_collision_prob", "0.01"); err != nil {
t.Fatalf("Failed to set max_collision_prob: %v", err)
}
if err := db.SetConfig(ctx, "min_hash_length", "5"); err != nil {
t.Fatalf("Failed to set min_hash_length: %v", err)
}
// With min_hash_length=5, all IDs should be at least 5 chars
for i := 0; i < 20; i++ {
issue := &types.Issue{
Title: formatTitle("Issue %d", i),
Description: "Test",
Status: "open",
Priority: 1,
IssueType: "task",
}
if err := db.CreateIssue(ctx, issue, "test@example.com"); err != nil {
t.Fatalf("Failed to create issue: %v", err)
}
hashPart := strings.TrimPrefix(issue.ID, "test-")
// With min_hash_length=5, should use at least 5 chars
if len(hashPart) < 5 {
t.Errorf("Issue %d with min_hash_length=5: hash length = %d, want >= 5", i, len(hashPart))
}
}
}

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@@ -0,0 +1,120 @@
package sqlite
import (
"context"
"database/sql"
"math"
"strconv"
)
// AdaptiveIDConfig holds configuration for adaptive ID length scaling
type AdaptiveIDConfig struct {
// MaxCollisionProbability is the threshold at which we scale up ID length (e.g., 0.25 = 25%)
MaxCollisionProbability float64
// MinLength is the minimum hash length to use (default 4)
MinLength int
// MaxLength is the maximum hash length to use (default 8)
MaxLength int
}
// DefaultAdaptiveConfig returns sensible defaults
func DefaultAdaptiveConfig() AdaptiveIDConfig {
return AdaptiveIDConfig{
MaxCollisionProbability: 0.25, // 25% threshold
MinLength: 4,
MaxLength: 8,
}
}
// collisionProbability calculates P(collision) using birthday paradox approximation
// P(collision) ≈ 1 - e^(-n²/2N)
// where n = number of items, N = total possible values
func collisionProbability(numIssues int, idLength int) float64 {
const base = 36.0 // lowercase alphanumeric (0-9, a-z)
totalPossibilities := math.Pow(base, float64(idLength))
exponent := -float64(numIssues*numIssues) / (2.0 * totalPossibilities)
return 1.0 - math.Exp(exponent)
}
// computeAdaptiveLength determines the optimal ID length for the current database size
func computeAdaptiveLength(numIssues int, config AdaptiveIDConfig) int {
// Try lengths from min to max, return first that meets threshold
for length := config.MinLength; length <= config.MaxLength; length++ {
prob := collisionProbability(numIssues, length)
if prob <= config.MaxCollisionProbability {
return length
}
}
// If even maxLength doesn't meet threshold, return maxLength anyway
return config.MaxLength
}
// getAdaptiveConfig reads adaptive ID config from database, returns defaults if not set
func getAdaptiveConfig(ctx context.Context, conn *sql.Conn) AdaptiveIDConfig {
config := DefaultAdaptiveConfig()
// Read max_collision_prob
var probStr string
err := conn.QueryRowContext(ctx, `SELECT value FROM config WHERE key = ?`, "max_collision_prob").Scan(&probStr)
if err == nil && probStr != "" {
if prob, err := strconv.ParseFloat(probStr, 64); err == nil {
config.MaxCollisionProbability = prob
}
}
// Read min_hash_length
var minLenStr string
err = conn.QueryRowContext(ctx, `SELECT value FROM config WHERE key = ?`, "min_hash_length").Scan(&minLenStr)
if err == nil && minLenStr != "" {
if minLen, err := strconv.Atoi(minLenStr); err == nil {
config.MinLength = minLen
}
}
// Read max_hash_length
var maxLenStr string
err = conn.QueryRowContext(ctx, `SELECT value FROM config WHERE key = ?`, "max_hash_length").Scan(&maxLenStr)
if err == nil && maxLenStr != "" {
if maxLen, err := strconv.Atoi(maxLenStr); err == nil {
config.MaxLength = maxLen
}
}
return config
}
// countTopLevelIssues returns the number of top-level issues (excluding child issues)
func countTopLevelIssues(ctx context.Context, conn *sql.Conn, prefix string) (int, error) {
var count int
// Count only top-level issues (no dot in ID after prefix)
err := conn.QueryRowContext(ctx, `
SELECT COUNT(*)
FROM issues
WHERE id LIKE ? || '-%'
AND instr(substr(id, length(?) + 2), '.') = 0
`, prefix, prefix).Scan(&count)
if err != nil {
return 0, err
}
return count, nil
}
// GetAdaptiveIDLength returns the appropriate hash length based on database size
func GetAdaptiveIDLength(ctx context.Context, conn *sql.Conn, prefix string) (int, error) {
// Get current issue count
numIssues, err := countTopLevelIssues(ctx, conn, prefix)
if err != nil {
return 6, err // Fallback to 6 on error
}
// Get adaptive config
config := getAdaptiveConfig(ctx, conn)
// Compute optimal length
length := computeAdaptiveLength(numIssues, config)
return length, nil
}

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@@ -0,0 +1,193 @@
package sqlite
import (
"context"
"fmt"
"strings"
"testing"
"time"
)
func TestCollisionProbability(t *testing.T) {
tests := []struct {
numIssues int
idLength int
expected float64 // approximate
}{
{50, 4, 0.0007}, // ~0.07%
{500, 4, 0.0717}, // ~7.17%
{1000, 5, 0.0082}, // ~0.82%
{1000, 6, 0.0002}, // ~0.02%
}
for _, tt := range tests {
got := collisionProbability(tt.numIssues, tt.idLength)
// Allow 20% tolerance for approximation (birthday paradox is an approximation)
diff := got - tt.expected
if diff < 0 {
diff = -diff
}
tolerance := tt.expected * 0.2
if diff > tolerance {
t.Errorf("collisionProbability(%d, %d) = %f, want ~%f (diff: %f)",
tt.numIssues, tt.idLength, got, tt.expected, diff)
}
}
}
func TestComputeAdaptiveLength(t *testing.T) {
tests := []struct {
name string
numIssues int
config AdaptiveIDConfig
want int
}{
{
name: "small database uses 4 chars",
numIssues: 50,
config: DefaultAdaptiveConfig(),
want: 4,
},
{
name: "medium database uses 4 chars",
numIssues: 500,
config: DefaultAdaptiveConfig(),
want: 4,
},
{
name: "large database uses 5 chars",
numIssues: 1000,
config: DefaultAdaptiveConfig(),
want: 5,
},
{
name: "very large database uses 6 chars",
numIssues: 10000,
config: DefaultAdaptiveConfig(),
want: 6,
},
{
name: "custom threshold - stricter",
numIssues: 200,
config: AdaptiveIDConfig{
MaxCollisionProbability: 0.01, // 1% threshold
MinLength: 4,
MaxLength: 8,
},
want: 5,
},
{
name: "custom threshold - more lenient",
numIssues: 1000,
config: AdaptiveIDConfig{
MaxCollisionProbability: 0.50, // 50% threshold
MinLength: 4,
MaxLength: 8,
},
want: 4,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got := computeAdaptiveLength(tt.numIssues, tt.config)
if got != tt.want {
t.Errorf("computeAdaptiveLength(%d) = %d, want %d",
tt.numIssues, got, tt.want)
}
})
}
}
func TestGenerateHashID_VariableLengths(t *testing.T) {
prefix := "bd"
title := "Test issue"
description := "Test description"
creator := "test@example.com"
timestamp, _ := time.Parse(time.RFC3339, "2024-01-01T00:00:00Z")
tests := []struct {
length int
expectedLen int // length of hash portion (without prefix)
}{
{4, 4},
{5, 5},
{6, 6},
{7, 7},
{8, 8},
}
for _, tt := range tests {
t.Run(fmt.Sprintf("length_%d", tt.length), func(t *testing.T) {
id := generateHashID(prefix, title, description, creator, timestamp, tt.length, 0)
// Format: "bd-xxxx" where xxxx is the hash
if !strings.HasPrefix(id, prefix+"-") {
t.Errorf("ID should start with %s-, got %s", prefix, id)
}
hashPart := strings.TrimPrefix(id, prefix+"-")
if len(hashPart) != tt.expectedLen {
t.Errorf("Hash length = %d, want %d (full ID: %s)",
len(hashPart), tt.expectedLen, id)
}
})
}
}
func TestGetAdaptiveIDLength_Integration(t *testing.T) {
// Create in-memory database
db, err := New(":memory:")
if err != nil {
t.Fatalf("Failed to create database: %v", err)
}
defer db.Close()
ctx := context.Background()
// Initialize with prefix
if err := db.SetConfig(ctx, "issue_prefix", "test"); err != nil {
t.Fatalf("Failed to set prefix: %v", err)
}
// Set id_mode to hash
if err := db.SetConfig(ctx, "id_mode", "hash"); err != nil {
t.Fatalf("Failed to set id_mode: %v", err)
}
// Test default config (should use 4 chars for empty database)
conn, err := db.db.Conn(ctx)
if err != nil {
t.Fatalf("Failed to get connection: %v", err)
}
defer conn.Close()
length, err := GetAdaptiveIDLength(ctx, conn, "test")
if err != nil {
t.Fatalf("GetAdaptiveIDLength failed: %v", err)
}
if length != 4 {
t.Errorf("Empty database should use 4 chars, got %d", length)
}
// Test custom config
if err := db.SetConfig(ctx, "max_collision_prob", "0.01"); err != nil {
t.Fatalf("Failed to set max_collision_prob: %v", err)
}
if err := db.SetConfig(ctx, "min_hash_length", "5"); err != nil {
t.Fatalf("Failed to set min_hash_length: %v", err)
}
length, err = GetAdaptiveIDLength(ctx, conn, "test")
if err != nil {
t.Fatalf("GetAdaptiveIDLength with custom config failed: %v", err)
}
if length < 5 {
t.Errorf("With min_hash_length=5, got %d", length)
}
}

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@@ -38,9 +38,10 @@ func TestHashIDGeneration(t *testing.T) {
t.Fatalf("Failed to create issue: %v", err)
}
// Verify hash ID format: bd-<6 hex chars> (or 7/8 on collision)
if len(issue.ID) < 9 || len(issue.ID) > 11 { // "bd-" (3) + 6-8 hex chars = 9-11
t.Errorf("Expected ID length 9-11, got %d: %s", len(issue.ID), issue.ID)
// Verify hash ID format: bd-<4-8 hex chars> with adaptive length (bd-ea2a13)
// For empty/small database, should use 4 chars
if len(issue.ID) < 7 || len(issue.ID) > 11 { // "bd-" (3) + 4-8 hex chars = 7-11
t.Errorf("Expected ID length 7-11, got %d: %s", len(issue.ID), issue.ID)
}
if issue.ID[:3] != "bd-" {
@@ -187,9 +188,9 @@ func TestHashIDBatchCreation(t *testing.T) {
}
ids[issue.ID] = true
// Verify hash ID format (6-8 chars)
if len(issue.ID) < 9 || len(issue.ID) > 11 {
t.Errorf("Expected ID length 9-11, got %d: %s", len(issue.ID), issue.ID)
// Verify hash ID format (4-8 chars with adaptive length)
if len(issue.ID) < 7 || len(issue.ID) > 11 {
t.Errorf("Expected ID length 7-11, got %d: %s", len(issue.ID), issue.ID)
}
if issue.ID[:3] != "bd-" {
t.Errorf("Expected ID to start with 'bd-', got: %s", issue.ID)

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@@ -777,7 +777,7 @@ func nextSequentialID(ctx context.Context, conn *sql.Conn, prefix string) (int,
// generateHashID creates a hash-based ID for a top-level issue.
// For child issues, use the parent ID with a numeric suffix (e.g., "bd-a3f8e9.1").
// Starts with 6 chars, expands to 7/8 on collision (length parameter).
// Supports adaptive length from 4-8 chars based on database size (bd-ea2a13).
// Includes a nonce parameter to handle same-length collisions.
func generateHashID(prefix, title, description, creator string, timestamp time.Time, length, nonce int) string {
// Combine inputs into a stable content string
@@ -787,10 +787,15 @@ func generateHashID(prefix, title, description, creator string, timestamp time.T
// Hash the content
hash := sha256.Sum256([]byte(content))
// Use variable length (6, 7, or 8 hex chars)
// length determines how many bytes to use (3, 3.5, or 4)
// Use variable length (4-8 hex chars)
// length determines how many bytes to use (2, 2.5, 3, 3.5, or 4)
var shortHash string
switch length {
case 4:
shortHash = hex.EncodeToString(hash[:2])
case 5:
// 2.5 bytes: use 3 bytes but take only first 5 chars
shortHash = hex.EncodeToString(hash[:3])[:5]
case 6:
shortHash = hex.EncodeToString(hash[:3])
case 7:
@@ -868,10 +873,24 @@ func (s *SQLiteStorage) CreateIssue(ctx context.Context, issue *types.Issue, act
idMode := getIDMode(ctx, conn)
if idMode == "hash" {
// Generate hash-based ID with progressive length fallback (bd-7c87cf24)
// Start with 6 chars, expand to 7/8 on collision
// Generate hash-based ID with adaptive length based on database size (bd-ea2a13)
// Start with length determined by database size, expand on collision
var err error
for length := 6; length <= 8; length++ {
// Get adaptive base length based on current database size
baseLength, err := GetAdaptiveIDLength(ctx, conn, prefix)
if err != nil {
// Fallback to 6 on error
baseLength = 6
}
// Try baseLength, baseLength+1, baseLength+2, up to max of 8
maxLength := 8
if baseLength > maxLength {
baseLength = maxLength
}
for length := baseLength; length <= maxLength; length++ {
// Try up to 10 nonces at each length
for nonce := 0; nonce < 10; nonce++ {
candidate := generateHashID(prefix, issue.Title, issue.Description, actor, issue.CreatedAt, length, nonce)
@@ -896,7 +915,7 @@ func (s *SQLiteStorage) CreateIssue(ctx context.Context, issue *types.Issue, act
}
if issue.ID == "" {
return fmt.Errorf("failed to generate unique ID after trying lengths 6-8 with 10 nonces each")
return fmt.Errorf("failed to generate unique ID after trying lengths %d-%d with 10 nonces each", baseLength, maxLength)
}
} else {
// Default: generate sequential ID using counter
@@ -1038,12 +1057,25 @@ func generateBatchIDs(ctx context.Context, conn *sql.Conn, issues []*types.Issue
// Second pass: generate IDs for issues that need them
if idMode == "hash" {
// Hash mode: generate with progressive length fallback (bd-7c87cf24)
// Hash mode: generate with adaptive length based on database size (bd-ea2a13)
// Get adaptive base length based on current database size
baseLength, err := GetAdaptiveIDLength(ctx, conn, prefix)
if err != nil {
// Fallback to 6 on error
baseLength = 6
}
// Try baseLength, baseLength+1, baseLength+2, up to max of 8
maxLength := 8
if baseLength > maxLength {
baseLength = maxLength
}
for i := range issues {
if issues[i].ID == "" {
var generated bool
// Try lengths 6, 7, 8 with progressive fallback
for length := 6; length <= 8 && !generated; length++ {
// Try lengths from baseLength to maxLength with progressive fallback
for length := baseLength; length <= maxLength && !generated; length++ {
for nonce := 0; nonce < 10; nonce++ {
candidate := generateHashID(prefix, issues[i].Title, issues[i].Description, actor, issues[i].CreatedAt, length, nonce)

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@@ -0,0 +1,120 @@
package main
import (
"fmt"
"math"
)
// Birthday paradox: P(collision) ≈ 1 - e^(-n²/2N)
// where n = number of items, N = total possible values
func collisionProbability(numIssues int, idLength int) float64 {
base := 36.0 // lowercase alphanumeric
totalPossibilities := math.Pow(base, float64(idLength))
exponent := -float64(numIssues*numIssues) / (2.0 * totalPossibilities)
return 1.0 - math.Exp(exponent)
}
// Find the expected number of collisions
func expectedCollisions(numIssues int, idLength int) float64 {
// Expected number of pairs that collide
totalPairs := float64(numIssues * (numIssues - 1) / 2)
return totalPairs * (1.0 / math.Pow(36, float64(idLength)))
}
// Find optimal ID length for a given database size and max collision probability
func optimalIdLength(numIssues int, maxCollisionProb float64) int {
for length := 3; length <= 12; length++ {
prob := collisionProbability(numIssues, length)
if prob <= maxCollisionProb {
return length
}
}
return 12 // fallback
}
func main() {
fmt.Println("=== Collision Probability Analysis ===")
dbSizes := []int{50, 100, 200, 500, 1000, 2000, 5000, 10000}
idLengths := []int{4, 5, 6, 7, 8}
// Print table header
fmt.Printf("%-10s", "DB Size")
for _, length := range idLengths {
fmt.Printf("%8d-char", length)
}
fmt.Println()
fmt.Println("----------------------------------------------------------")
// Print collision probabilities
for _, size := range dbSizes {
fmt.Printf("%-10d", size)
for _, length := range idLengths {
prob := collisionProbability(size, length)
fmt.Printf("%11.2f%%", prob*100)
}
fmt.Println()
}
fmt.Println("\n=== Recommended ID Length by Threshold ===")
thresholds := []float64{0.10, 0.25, 0.50}
fmt.Printf("%-10s", "DB Size")
for _, threshold := range thresholds {
fmt.Printf("%10.0f%%", threshold*100)
}
fmt.Println()
fmt.Println("----------------------------------")
for _, size := range dbSizes {
fmt.Printf("%-10d", size)
for _, threshold := range thresholds {
optimal := optimalIdLength(size, threshold)
fmt.Printf("%10d", optimal)
}
fmt.Println()
}
fmt.Println("\n=== Expected Number of Collisions ===")
fmt.Printf("%-10s", "DB Size")
for _, length := range idLengths {
fmt.Printf("%10d-char", length)
}
fmt.Println()
fmt.Println("----------------------------------------------------------")
for _, size := range dbSizes {
fmt.Printf("%-10d", size)
for _, length := range idLengths {
expected := expectedCollisions(size, length)
fmt.Printf("%14.2f", expected)
}
fmt.Println()
}
fmt.Println("\n=== Adaptive Scaling Strategy ===")
fmt.Println("Threshold: 25% collision probability")
fmt.Printf("%-15s %-12s %-20s\n", "DB Size Range", "ID Length", "Collision Prob")
fmt.Println("-------------------------------------------------------")
ranges := []struct {
min, max int
}{
{0, 50},
{51, 150},
{151, 500},
{501, 1500},
{1501, 5000},
{5001, 15000},
}
threshold := 0.25
for _, r := range ranges {
optimal := optimalIdLength(r.max, threshold)
prob := collisionProbability(r.max, optimal)
fmt.Printf("%-15s %-12d %18.2f%%\n",
fmt.Sprintf("%d-%d", r.min, r.max),
optimal,
prob*100)
}
}