schema-builder

name	schema-builder
description	Design and generate Convex database schemas with proper validation, indexes, and relationships. Use when creating schema.ts or modifying table definitions.

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

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

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

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

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)

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

// 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 foreign keys have indexes
• Common query patterns have compound indexes
• Arrays are small and bounded (or converted to relations)
• All fields have proper validators
• Enums use v.union(v.literal(...)) pattern
• Timestamps use v.number() (milliseconds since epoch)

Migration from Nested to Relational

If converting from nested structures:

Before:

users: defineTable({
  posts: v.array(v.object({
    title: v.string(),
    comments: v.array(v.object({ text: v.string() })),
  })),
})

After:

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

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

comments: defineTable({
  postId: v.id("posts"),
  text: v.string(),
}).index("by_post", ["postId"]),