Migration guide

0.7.0

The 0.7.0 release includes several breaking changes.

API functions

removed c.tables

Install & run codegen

pnpm add @ponder/core@0.7

To ensure strong type safety during the migration, regenerate ponder-env.d.ts.

pnpm codegen

Migrate ponder.schema.ts

Here's a table defined with the new schema definition API, which uses Drizzle under the hood.

import { onchainTable } from "@ponder/core";
 
export const accounts = onchainTable("account", (t) => ({
  address: t.hex().primaryKey(),
  daiBalance: t.bigint().notNull(),
  isAdmin: t.boolean().notNull(),
  graffiti: t.string(),
}));

Key changes:

1. Declare tables with the onchainTable function exported from @ponder/core
2. Export all table objects from ponder.schema.ts
3. Use .primaryKey() to mark the primary key column
4. Columns are nullable by default, use .notNull() to add the constraint

The new onchainTable function adds several new capabilities.

• Custom primary key column name (other than id)
• Composite primary keys
• Default column values

Here's a more advanced example with indexes and a composite primary key.

import { onchainTable, index, primaryKey } from "@ponder/core";
 
export const transferEvents = onchainTable(
  "transfer_event",
  (t) => ({
    id: t.text().primaryKey(),
    amount: t.bigint().notNull(),
    timestamp: t.integer().notNull(),
    from: t.hex().notNull(),
    to: t.hex().notNull(),
  }),
  (table) => ({
    fromIdx: index().on(table.from),
  })
);
 
export const allowance = onchainTable(
  "allowance",
  (t) => ({
    owner: t.hex().notNull(),
    spender: t.hex().notNull(),
    amount: t.bigint().notNull(),
  }),
  (table) => ({
    pk: primaryKey({ columns: [table.owner, table.spender] }),
  })
);
 
export const approvalEvent = onchainTable("approval_event", (t) => ({
  id: t.text().primaryKey(),
  amount: t.evmBigint().notNull(),
  timestamp: t.integer().notNull(),
  owner: t.hex().notNull(),
  spender: t.hex().notNull(),
}));

Migrate indexing functions

This release updates the indexing function database API to offer a unified SQL experience based on Drizzle.

Here's an indexing function defined with the new API, which uses the table objects exported from ponder.schema.ts.

import { ponder } from "@/generated";
import { account } from "../ponder.schema";
 
ponder.on("ERC20:Transfer", async ({ event, context }) => {
  await context.db
    .insert(account)
    .values({ 
      address: event.args.from, 
      balance: 0n, 
      isOwner: false,
    })
    .onConflictDoUpdate((row) => ({
      balance: row.balance - event.args.amount,
    }));
});

Key changes:

1. Transition from ORM pattern db.Account.create({ ... }) to query builder pattern db.insert(accounts, { ... })
2. Import table objects from ponder.schema.ts
3. Replace findMany with db.sql.select(...) or db.sql.query(...)

Here is a simple migration example to familiarize yourself with the API.

// Create a single allowance
await context.db.Allowance.create({
  id: event.log.id,
  data: {
    owner: event.args.owner,
    spender: event.args.spender,
    amount: event.args.amount,
  },
});

import { allowance } from "../ponder.schema";
 
// Create a single allowance
await context.db
  .insert(allowance)
  .values({
    id: event.log.id,
    owner: event.args.owner,
    spender: event.args.spender,
    amount: event.args.amount,
  });

Here is a reference for how to migrate each method.

// create -> insert
await context.db.Account.create({
  id: event.args.from,
  data: { balance: 0n },
});
await context.db.insert(account).values({ id: event.args.from, balance: 0n });
 
// createMany -> insert
await context.db.Account.createMany({
  data: [
    { id: event.args.from, balance: 0n },
    { id: event.args.to, balance: 0n },
  ],
});
await context.db.insert(account).values([
  { id: event.args.from, balance: 0n },
  { id: event.args.to, balance: 0n },
]);
 
// findUnique -> find
await context.db.Account.findUnique({ id: event.args.from });
await context.db.find(account, { address: event.args.from });
 
// update
await context.db.Account.update({
  id: event.args.from,
  data: ({ current }) => ({ balance: current.balance + 100n }),
});
await context.db
  .update(account, { address: event.args.from })
  .set((row) => ({ balance: row.balance + 100n }));
 
// upsert
await context.db.Account.upsert({
  id: event.args.from,
  create: { balance: 0n },
  update: ({ current }) => ({ balance: current.balance + 100n }),
});
await context.db
  .insert(account)
  .values({ address: event.args.from, balance: 0n })
  .onConflictDoUpdate((row) => ({ balance: row.balance + 100n }));
 
// delete
await context.db.Account.delete({ id: event.args.from });
await context.db.delete(account, { address: event.args.from });
 
// findMany -> select
await context.db.Account.findMany({ where: { balance: { gt: 100n } } });
await context.db.sql.select().from(account).where(eq(account.balance, 100n));

Finally, another migration example for an ERC20 Transfer indexing function using upsert.

import { ponder } from "@/generated";
 
ponder.on("ERC20:Transfer", async ({ event, context }) => {
  const { Account, TransferEvent } = context.db;
 
  await Account.upsert({
    id: event.args.from,
    create: {
      balance: BigInt(0),
      isOwner: false,
    },
    update: ({ current }) => ({
      balance: current.balance - event.args.amount,
    }),
  });
});

import { ponder } from "@/generated";
import { account } from "../ponder.schema";
 
ponder.on("ERC20:Transfer", async ({ event, context }) => {
  await context.db
    .insert(account)
    .values({
      address: event.args.from,
      balance: 0n, 
      isOwner: false,
    })
    .onConflictDoUpdate((row) => ({
      balance: row.balance - event.args.amount,
    }));
});

Direct SQL API

The context.db.sql interface replaces the rigid findMany method and supports any valid SQL select query.

import { desc } from "@ponder/core";
import { account } from "../ponder.schema";
 
ponder.on("...", ({ event, context }) => {
  const result = await context.db.sql
    .select()
    .from(account)
    .orderBy(desc(account.balance))
    .limit(1);
});

0.6.0

Updated viem to >=2

This release updates the viem peer dependency requirement to >=2. The context.client action getBytecode was renamed to getCode.

pnpm add viem@latest

Simplified Postgres schema pattern

Starting with this release, the indexed tables, reorg tables, and metadata table for a Ponder app are contained in one Postgres schema, specified by the user in ponder.config.ts (defaults to public). This means the shared ponder schema is no longer used. (Note: The ponder_sync schema is still in use).

This release also removes the view publishing pattern and the publishSchema option from ponder.config.ts, which may disrupt production setups using horizontal scaling or direct SQL. If you relied on the publish pattern, please get in touch on Telegram and we'll work to get you unblocked.

Added /ready, updated /health

The new /ready endpoint returns an HTTP 200 response once the app is ready to serve requests. This means that historical indexing is complete and the app is indexing events in realtime.

The existing /health endpoint now returns an HTTP 200 response as soon as the process starts. (This release removes the maxHealthcheckDuration option, which previously governed the behavior of /health.)

For Railway users, we now recommend using /ready as the health check endpoint to enable zero downtime deployments. If your app takes a while to sync, be sure to set the healthcheck timeout accordingly. Read the Railway deployment guide for more details.

Metrics updates

Please see the changelog for specifics.

0.5.0

hono peer dependency

Breaking: This release adds Hono as a peer dependency. After upgrading, install hono in your project.

pnpm add hono@latest

Introduced API functions

This release added support for API functions. Read more.

0.4.0

This release changes the location of database tables when using both SQLite and Postgres.

It does not require any changes to your application code, and does not bust the sync cache for SQLite or Postgres.

Please read the new docs on direct SQL for a detailed overview.

SQLite

Ponder now uses the .ponder/sqlite/public.db file for indexed tables. Before, the tables were present as views in the .ponder/sqlite/ponder.db. Now, the.ponder/sqlite/ponder.db file is only used internally by Ponder.

Postgres

Ponder now creates a table in the public schema for each table in ponder.schema.ts. Before, Ponder created them as views in the ponder schema.

Isolation while running multiple Ponder instances against the same database also works differently. Before, Ponder used a schema with a pseudorandom name if the desired schema was in use. Now, Ponder will fail on startup with an error if it cannot acquire a lock on the desired schema.

This also changes the zero-downtime behavior on platforms like Railway. For more information on how this works in 0.4, please reference:

• Direct SQL
• Zero-downtime deployments

Postgres table cleanup

After upgrading to 0.4.x, you can run the following Postgres SQL script to clean up stale tables and views created by 0.3.x Ponder apps.

Note: This script could obviously be destructive, so please read it carefully before executing.

DO $$
DECLARE
    view_name TEXT;
    schema_name_var TEXT;
BEGIN
    -- Drop all views from the 'ponder' schema
    FOR view_name IN SELECT table_name FROM information_schema.views WHERE table_schema = 'ponder'
    LOOP
        EXECUTE format('DROP VIEW IF EXISTS ponder.%I CASCADE', view_name);
        RAISE NOTICE 'Dropped view "ponder"."%"', view_name;
    END LOOP;
 
    -- Drop the 'ponder_cache' schema
    EXECUTE 'DROP SCHEMA IF EXISTS ponder_cache CASCADE';
    RAISE NOTICE 'Dropped schema "ponder_cache"';
 
    -- Find and drop any 'ponder_instance_*' schemas
    FOR schema_name_var IN SELECT schema_name AS schema_name_alias FROM information_schema.schemata WHERE schema_name LIKE 'ponder_instance_%'
    LOOP
        EXECUTE format('DROP SCHEMA IF EXISTS %I CASCADE', schema_name_var);
        RAISE NOTICE 'Dropped schema "%"', schema_name_var;
    END LOOP;
END $$;

0.3.0

No breaking API changes.

Moved SQLite directory

Note: This release busted the SQLite sync cache.

The SQLite database was moved from the .ponder/store directory to .ponder/sqlite. The old .ponder/store directory will still be used by older versions.

Moved Postgres sync tables

Similar to SQLite, the sync tables for Postgres were moved from the public schema to ponder_sync. Now, Ponder does not use the public schema whatsoever.

This change did NOT bust the sync cache; the tables were actually moved. This process emits some WARN-level logs that you should see after upgrading.

0.2.0

Replaced p.bytes() with p.hex()

Removed p.bytes() in favor of a new p.hex() primitive column type. p.hex() is suitable for Ethereum addresses and other hex-encoded data, including EVM bytes types. p.hex() values are stored as bytea (Postgres) or blob (SQLite). To migrate, replace each occurence of p.bytes() in ponder.schema.ts with p.hex(), and ensure that any values you pass into hex columns are valid hexadecimal strings. The GraphQL API returns p.hex() values as hexadecimal strings, and allows sorting/filtering on p.hex() columns using the numeric comparison operators (gt, gte, le, lte).

Cursor pagination

Updated the GraphQL API to use cursor pagination instead of offset pagination. Note that this change also affects the findMany database method. See the GraphQL pagination docs for more details.

0.1.0

Config

• In general, ponder.config.ts now has much more static validation using TypeScript. This includes network names in contracts, ABI event names for the contract event and factory options, and more.
• The networks and contracts fields were changed from an array to an object. The network or contract name is now specified using an object property name. The name field for both networks and contracts was removed.
• The filter field has been removed. To index all events matching a specific signature across all contract addresses, add a contract that specifies the event field without specifying an address.
• The abi field now requires an ABI object that has been asserted as const (cannot use a file path). See the ABIType documentation for more details.

Schema

• The schema definition API was rebuilt from scratch to use a TypeScript file ponder.schema.ts instead of schema.graphql. The ponder.schema.ts file has static validation using TypeScript.
• Note that it is possible to convert a schema.graphql file into a ponder.schema.ts file without introducing any breaking changes to the autogenerated GraphQL API schema.
• Please see the design your schema guide for an overview of the new API.

Indexing functions

• event.params was renamed to event.args to better match Ethereum terminology norms.
• If a contract uses the event option, only the specified events will be available for registration. Before, all events in the ABI were available.
• context.models was renamed to context.db
• Now, a read-only Viem client is available at context.client. This client uses the same transport you specify in ponder.config.ts, except all method are cached to speed up subsequent indexing.
• The context.contracts object now contains the contract addresses and ABIs specified inponder.config.ts, typed as strictly as possible. (You should not need to copy addresses and ABIs around anymore, just use context.contracts).
• A new context.network object was added which contains the network name and chain ID that the current event is from.

Multi-chain indexing

• The contract network field ponder.config.ts was upgraded to support an object of network-specific overrides. This is a much better DX for indexing the same contract on multiple chains.
• The options that you can specify per-network are address, event, startBlock, endBlock, and factory.
• When you add a contract on multiple networks, Ponder will sync the contract on each network you specify. Any indexing functions you register for the contract will now process events across all networks.
• The context.network object is typed according to the networks that the current contract runs on, so you can write network-specific logic like if (context.network.name === “optimism”) { …

Vite

• Ponder now uses Vite to transform and load your code. This means you can import files from outside the project root directory.
• Vite’s module graph makes it possible to invalidate project files granularly, only reloading the specific parts of your app that need to be updated when a specific file changes. For example, if you save a change to one of your ABI files, ponder.config.ts will reload because it imports that file, but your schema will not reload.
• This update also unblocks a path towards concurrent indexing and granular caching of indexing function results.