Skip to main content Schema migration strategies for evolving applications including adding new fields, backfilling data, removing deprecated fields, index migrations, and zero-downtime migration patterns
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Convex Migrations
Evolve your Convex database schema safely with patterns for adding fields, backfilling data, removing deprecated fields, and maintaining zero-downtime deployments.
Documentation Sources
Before implementing, do not assume; fetch the latest documentation:
Instructions
Migration Philosophy
Convex handles schema evolution differently than traditional databases:
No explicit migration files or commands
Schema changes deploy instantly with npx convex dev
Existing data is not automatically transformed
Use optional fields and backfill mutations for safe migrations
Adding New Fields
Start with optional fields, then backfill:
// Step 1: Add optional field to schema
// convex/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
users: defineTable({
name: v.string(),
email: v.string(),
// New field - start as optional
avatarUrl: v.optional(v.string()),
}),
});
// Step 2: Update code to handle both cases
// convex/users.ts
import { query } from "./_generated/server";
import { v } from "convex/values";
export const getUser = query({
args: { userId: v.id("users") },
returns: v.union(
v.object({
_id: v.id("users"),
name: v.string(),
email: v.string(),
avatarUrl: v.union(v.string(), v.null()),
}),
v.null()
),
handler: async (ctx, args) => {
const user = await ctx.db.get(args.userId);
if (!user) return null;
return {
_id: user._id,
name: user.name,
email: user.email,
// Handle missing field gracefully
avatarUrl: user.avatarUrl ?? null,
};
},
});
// Step 3: Backfill existing documents
// convex/migrations.ts
import { internalMutation } from "./_generated/server";
import { internal } from "./_generated/api";
import { v } from "convex/values";
const BATCH_SIZE = 100;
export const backfillAvatarUrl = internalMutation({
args: {
cursor: v.optional(v.string()),
},
returns: v.object({
processed: v.number(),
hasMore: v.boolean(),
}),
handler: async (ctx, args) => {
const result = await ctx.db
.query("users")
.paginate({ numItems: BATCH_SIZE, cursor: args.cursor ?? null });
let processed = 0;
for (const user of result.page) {
// Only update if field is missing
if (user.avatarUrl === undefined) {
await ctx.db.patch(user._id, {
avatarUrl: generateDefaultAvatar(user.name),
});
processed++;
}
}
// Schedule next batch if needed
if (!result.isDone) {
await ctx.scheduler.runAfter(0, internal.migrations.backfillAvatarUrl, {
cursor: result.continueCursor,
});
}
return {
processed,
hasMore: !result.isDone,
};
},
});
function generateDefaultAvatar(name: string): string {
return `https://api.dicebear.com/7.x/initials/svg?seed=${encodeURIComponent(name)}`;
}
// Step 4: After backfill completes, make field required
// convex/schema.ts
export default defineSchema({
users: defineTable({
name: v.string(),
email: v.string(),
avatarUrl: v.string(), // Now required
}),
});
Removing Fields Remove field usage before removing from schema:
// Step 1: Stop using the field in queries and mutations
// Mark as deprecated in code comments
// Step 2: Remove field from schema (make optional first if needed)
// convex/schema.ts
export default defineSchema({
posts: defineTable({
title: v.string(),
content: v.string(),
authorId: v.id("users"),
// legacyField: v.optional(v.string()), // Remove this line
}),
});
// Step 3: Optionally clean up existing data
// convex/migrations.ts
export const removeDeprecatedField = internalMutation({
args: {
cursor: v.optional(v.string()),
},
returns: v.null(),
handler: async (ctx, args) => {
const result = await ctx.db
.query("posts")
.paginate({ numItems: 100, cursor: args.cursor ?? null });
for (const post of result.page) {
// Use replace to remove the field entirely
const { legacyField, ...rest } = post as typeof post & { legacyField?: string };
if (legacyField !== undefined) {
await ctx.db.replace(post._id, rest);
}
}
if (!result.isDone) {
await ctx.scheduler.runAfter(0, internal.migrations.removeDeprecatedField, {
cursor: result.continueCursor,
});
}
return null;
},
});
Renaming Fields Renaming requires copying data to new field, then removing old:
// Step 1: Add new field as optional
// convex/schema.ts
export default defineSchema({
users: defineTable({
userName: v.string(), // Old field
displayName: v.optional(v.string()), // New field
}),
});
// Step 2: Update code to read from new field with fallback
export const getUser = query({
args: { userId: v.id("users") },
returns: v.object({
_id: v.id("users"),
displayName: v.string(),
}),
handler: async (ctx, args) => {
const user = await ctx.db.get(args.userId);
if (!user) throw new Error("User not found");
return {
_id: user._id,
// Read new field, fall back to old
displayName: user.displayName ?? user.userName,
};
},
});
// Step 3: Backfill to copy data
export const backfillDisplayName = internalMutation({
args: { cursor: v.optional(v.string()) },
returns: v.null(),
handler: async (ctx, args) => {
const result = await ctx.db
.query("users")
.paginate({ numItems: 100, cursor: args.cursor ?? null });
for (const user of result.page) {
if (user.displayName === undefined) {
await ctx.db.patch(user._id, {
displayName: user.userName,
});
}
}
if (!result.isDone) {
await ctx.scheduler.runAfter(0, internal.migrations.backfillDisplayName, {
cursor: result.continueCursor,
});
}
return null;
},
});
// Step 4: After backfill, update schema to make new field required
// and remove old field
export default defineSchema({
users: defineTable({
// userName removed
displayName: v.string(),
}),
});
Adding Indexes Add indexes before using them in queries:
// Step 1: Add index to schema
// convex/schema.ts
export default defineSchema({
posts: defineTable({
title: v.string(),
authorId: v.id("users"),
publishedAt: v.optional(v.number()),
status: v.string(),
})
.index("by_author", ["authorId"])
// New index
.index("by_status_and_published", ["status", "publishedAt"]),
});
// Step 2: Deploy schema change
// Run: npx convex dev
// Step 3: Now use the index in queries
export const getPublishedPosts = query({
args: {},
returns: v.array(v.object({
_id: v.id("posts"),
title: v.string(),
publishedAt: v.number(),
})),
handler: async (ctx) => {
const posts = await ctx.db
.query("posts")
.withIndex("by_status_and_published", (q) =>
q.eq("status", "published")
)
.order("desc")
.take(10);
return posts
.filter((p) => p.publishedAt !== undefined)
.map((p) => ({
_id: p._id,
title: p.title,
publishedAt: p.publishedAt!,
}));
},
});
Changing Field Types Type changes require careful migration:
// Example: Change from string to number for a "priority" field
// Step 1: Add new field with new type
// convex/schema.ts
export default defineSchema({
tasks: defineTable({
title: v.string(),
priority: v.string(), // Old: "low", "medium", "high"
priorityLevel: v.optional(v.number()), // New: 1, 2, 3
}),
});
// Step 2: Backfill with type conversion
export const migratePriorityToNumber = internalMutation({
args: { cursor: v.optional(v.string()) },
returns: v.null(),
handler: async (ctx, args) => {
const result = await ctx.db
.query("tasks")
.paginate({ numItems: 100, cursor: args.cursor ?? null });
const priorityMap: Record<string, number> = {
low: 1,
medium: 2,
high: 3,
};
for (const task of result.page) {
if (task.priorityLevel === undefined) {
await ctx.db.patch(task._id, {
priorityLevel: priorityMap[task.priority] ?? 1,
});
}
}
if (!result.isDone) {
await ctx.scheduler.runAfter(0, internal.migrations.migratePriorityToNumber, {
cursor: result.continueCursor,
});
}
return null;
},
});
// Step 3: Update code to use new field
export const getTask = query({
args: { taskId: v.id("tasks") },
returns: v.object({
_id: v.id("tasks"),
title: v.string(),
priorityLevel: v.number(),
}),
handler: async (ctx, args) => {
const task = await ctx.db.get(args.taskId);
if (!task) throw new Error("Task not found");
const priorityMap: Record<string, number> = {
low: 1,
medium: 2,
high: 3,
};
return {
_id: task._id,
title: task.title,
priorityLevel: task.priorityLevel ?? priorityMap[task.priority] ?? 1,
};
},
});
// Step 4: After backfill, update schema
export default defineSchema({
tasks: defineTable({
title: v.string(),
// priority field removed
priorityLevel: v.number(),
}),
});
Migration Runner Pattern Create a reusable migration system:
// convex/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
migrations: defineTable({
name: v.string(),
startedAt: v.number(),
completedAt: v.optional(v.number()),
status: v.union(
v.literal("running"),
v.literal("completed"),
v.literal("failed")
),
error: v.optional(v.string()),
processed: v.number(),
}).index("by_name", ["name"]),
// Your other tables...
});
// convex/migrations.ts
import { internalMutation, internalQuery } from "./_generated/server";
import { internal } from "./_generated/api";
import { v } from "convex/values";
// Check if migration has run
export const hasMigrationRun = internalQuery({
args: { name: v.string() },
returns: v.boolean(),
handler: async (ctx, args) => {
const migration = await ctx.db
.query("migrations")
.withIndex("by_name", (q) => q.eq("name", args.name))
.first();
return migration?.status === "completed";
},
});
// Start a migration
export const startMigration = internalMutation({
args: { name: v.string() },
returns: v.id("migrations"),
handler: async (ctx, args) => {
// Check if already exists
const existing = await ctx.db
.query("migrations")
.withIndex("by_name", (q) => q.eq("name", args.name))
.first();
if (existing) {
if (existing.status === "completed") {
throw new Error(`Migration ${args.name} already completed`);
}
if (existing.status === "running") {
throw new Error(`Migration ${args.name} already running`);
}
// Reset failed migration
await ctx.db.patch(existing._id, {
status: "running",
startedAt: Date.now(),
error: undefined,
processed: 0,
});
return existing._id;
}
return await ctx.db.insert("migrations", {
name: args.name,
startedAt: Date.now(),
status: "running",
processed: 0,
});
},
});
// Update migration progress
export const updateMigrationProgress = internalMutation({
args: {
migrationId: v.id("migrations"),
processed: v.number(),
},
returns: v.null(),
handler: async (ctx, args) => {
const migration = await ctx.db.get(args.migrationId);
if (!migration) return null;
await ctx.db.patch(args.migrationId, {
processed: migration.processed + args.processed,
});
return null;
},
});
// Complete a migration
export const completeMigration = internalMutation({
args: { migrationId: v.id("migrations") },
returns: v.null(),
handler: async (ctx, args) => {
await ctx.db.patch(args.migrationId, {
status: "completed",
completedAt: Date.now(),
});
return null;
},
});
// Fail a migration
export const failMigration = internalMutation({
args: {
migrationId: v.id("migrations"),
error: v.string(),
},
returns: v.null(),
handler: async (ctx, args) => {
await ctx.db.patch(args.migrationId, {
status: "failed",
error: args.error,
});
return null;
},
});
// convex/migrations/addUserTimestamps.ts
import { internalMutation } from "../_generated/server";
import { internal } from "../_generated/api";
import { v } from "convex/values";
const MIGRATION_NAME = "add_user_timestamps_v1";
const BATCH_SIZE = 100;
export const run = internalMutation({
args: {
migrationId: v.optional(v.id("migrations")),
cursor: v.optional(v.string()),
},
returns: v.null(),
handler: async (ctx, args) => {
// Initialize migration on first run
let migrationId = args.migrationId;
if (!migrationId) {
const hasRun = await ctx.runQuery(internal.migrations.hasMigrationRun, {
name: MIGRATION_NAME,
});
if (hasRun) {
console.log(`Migration ${MIGRATION_NAME} already completed`);
return null;
}
migrationId = await ctx.runMutation(internal.migrations.startMigration, {
name: MIGRATION_NAME,
});
}
try {
const result = await ctx.db
.query("users")
.paginate({ numItems: BATCH_SIZE, cursor: args.cursor ?? null });
let processed = 0;
for (const user of result.page) {
if (user.createdAt === undefined) {
await ctx.db.patch(user._id, {
createdAt: user._creationTime,
updatedAt: user._creationTime,
});
processed++;
}
}
// Update progress
await ctx.runMutation(internal.migrations.updateMigrationProgress, {
migrationId,
processed,
});
// Continue or complete
if (!result.isDone) {
await ctx.scheduler.runAfter(0, internal.migrations.addUserTimestamps.run, {
migrationId,
cursor: result.continueCursor,
});
} else {
await ctx.runMutation(internal.migrations.completeMigration, {
migrationId,
});
console.log(`Migration ${MIGRATION_NAME} completed`);
}
} catch (error) {
await ctx.runMutation(internal.migrations.failMigration, {
migrationId,
error: String(error),
});
throw error;
}
return null;
},
});
Examples
Schema with Migration Support // convex/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
// Migration tracking
migrations: defineTable({
name: v.string(),
startedAt: v.number(),
completedAt: v.optional(v.number()),
status: v.union(
v.literal("running"),
v.literal("completed"),
v.literal("failed")
),
error: v.optional(v.string()),
processed: v.number(),
}).index("by_name", ["name"]),
// Users table with evolved schema
users: defineTable({
// Original fields
name: v.string(),
email: v.string(),
// Added in migration v1
createdAt: v.optional(v.number()),
updatedAt: v.optional(v.number()),
// Added in migration v2
avatarUrl: v.optional(v.string()),
// Added in migration v3
settings: v.optional(v.object({
theme: v.string(),
notifications: v.boolean(),
})),
})
.index("by_email", ["email"])
.index("by_createdAt", ["createdAt"]),
// Posts table with indexes for common queries
posts: defineTable({
title: v.string(),
content: v.string(),
authorId: v.id("users"),
status: v.union(
v.literal("draft"),
v.literal("published"),
v.literal("archived")
),
publishedAt: v.optional(v.number()),
createdAt: v.number(),
updatedAt: v.number(),
})
.index("by_author", ["authorId"])
.index("by_status", ["status"])
.index("by_author_and_status", ["authorId", "status"])
.index("by_publishedAt", ["publishedAt"]),
});
Best Practices
Never run npx convex deploy unless explicitly instructed
Never run any git commands unless explicitly instructed
Always start with optional fields when adding new data
Backfill data in batches to avoid timeouts
Test migrations on development before production
Keep track of completed migrations to avoid re-running
Update code to handle both old and new data during transition
Remove deprecated fields only after all code stops using them
Use pagination for large datasets
Add appropriate indexes before running queries on new fields
Common Pitfalls
Making new fields required immediately - Breaks existing documents
Not handling undefined values - Causes runtime errors
Large batch sizes - Causes function timeouts
Forgetting to update indexes - Queries fail or perform poorly
Running migrations without tracking - May run multiple times
Removing fields before code update - Breaks existing functionality
Not testing on development - Production data issues
References Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).