Schema Builder

# Convex Schema Builder

Build well-structured Convex schemas following best practices for relationships, indexes, and validators.

## When to Use

- Creating a new `convex/schema.ts` file
- Adding tables to existing schema
- Designing data model relationships
- Adding or optimizing indexes
- Converting nested data to relational structure

## Schema Design Principles

1. **Document-Relational**: Use flat documents with ID references, not deep nesting
2. **Index Foreign Keys**: Always index fields used in lookups (userId, teamId, etc.)
3. **Limit Arrays**: Only use arrays for small, bounded collections (<8192 items)
4. **Type Safety**: Use strict validators with `v.*` types

## Schema Template

```typescript
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";

export default defineSchema({
  tableName: defineTable({
    // Required fields
    field: v.string(),

    // Optional fields
    optional: v.optional(v.number()),

    // Relations (use IDs)
    userId: v.id("users"),

    // Enums with union + literal
    status: v.union(
      v.literal("active"),
      v.literal("pending"),
      v.literal("archived")
    ),

    // Timestamps
    createdAt: v.number(),
    updatedAt: v.optional(v.number()),
  })
    // Index for queries by this field
    .index("by_user", ["userId"])
    // Compound index for common query patterns
    .index("by_user_and_status", ["userId", "status"])
    // Index for time-based queries
    .index("by_created", ["createdAt"]),
});
```

## Common Patterns

### One-to-Many Relationship

```typescript
export default defineSchema({
  users: defineTable({
    name: v.string(),
    email: v.string(),
  }).index("by_email", ["email"]),

  posts: defineTable({
    userId: v.id("users"),
    title: v.string(),
    content: v.string(),
  }).index("by_user", ["userId"]),
});
```

### Many-to-Many with Junction Table

```typescript
export default defineSchema({
  users: defineTable({
    name: v.string(),
  }),

  projects: defineTable({
    name: v.string(),
  }),

  projectMembers: defineTable({
    userId: v.id("users"),
    projectId: v.id("projects"),
    role: v.union(v.literal("owner"), v.literal("member")),
  })
    .index("by_user", ["userId"])
    .index("by_project", ["projectId"])
    .index("by_project_and_user", ["projectId", "userId"]),
});
```

### Hierarchical Data

```typescript
export default defineSchema({
  comments: defineTable({
    postId: v.id("posts"),
    parentId: v.optional(v.id("comments")), // null for top-level
    userId: v.id("users"),
    text: v.string(),
  })
    .index("by_post", ["postId"])
    .index("by_parent", ["parentId"]),
});
```

### Small Bounded Arrays (OK to use)

```typescript
export default defineSchema({
  users: defineTable({
    name: v.string(),
    // Small, bounded collections are fine
    roles: v.array(v.union(
      v.literal("admin"),
      v.literal("editor"),
      v.literal("viewer")
    )),
    tags: v.array(v.string()), // e.g., max 10 tags
  }),
});
```

## Validator Reference

```typescript
// Primitives
v.string()
v.number()
v.boolean()
v.null()
v.id("tableName")

// Optional
v.optional(v.string())

// Union types (enums)
v.union(v.literal("a"), v.literal("b"))

// Objects
v.object({
  key: v.string(),
  nested: v.number(),
})

// Arrays
v.array(v.string())

// Records (arbitrary keys)
v.record(v.string(), v.boolean())

// Any (avoid if possible)
v.any()
```

## Index Strategy

1. **Single-field indexes**: For simple lookups
   - `by_user: ["userId"]`
   - `by_email: ["email"]`

2. **Compound indexes**: For filtered queries
   - `by_user_and_status: ["userId", "status"]`
   - `by_team_and_created: ["teamId", "createdAt"]`

3. **Remove redundant**: `by_a_and_b` usually covers `by_a`

## Checklist

- [ ] All