Summary: Logical replication from Lakebase Postgres to Decodable uses a Postgres CDC connector (Apache Flink and Debezium) to stream row-level changes into Decodable streams for routing to sinks such as Snowflake, Kafka, Amazon S3, or Elasticsearch. Use this guide when you need continuous, low-latency change capture from Neon with optional SQL or Flink transformations before data reaches its destination. Setup requires enabling wal_level=logical on the Neon project (irreversible) and setting replica identity to FULL on each source table. Connect Decodable using a direct non-pooled connection string.

Learn how to replicate data from Neon with Decodable

Neon's logical replication feature allows you to replicate data from your Lakebase Postgres database to external destinations.

Decodable is a fully managed platform for ETL, ELT, and stream processing, powered by Apache Flink® and Debezium.

In this guide, you will learn how to configure a Postgres source connector in Decodable for ingesting changes from your Neon database so that you can replicate data from Lakebase Postgres to any of Decodable's supported data sinks, optionally processing the data with SQL or custom Flink jobs.

• A Decodable account (start free, no credit card required)
• A Neon account
• Read the important notices about logical replication in Neon before you begin

Important: Compute and billing

Replication keeps compute active (no scale to zero) while subscribers are connected, which can increase your bill. See Important notices about logical replication in Neon.

Important: Enabling logical replication modifies the Postgres wal_level configuration parameter, changing it from replica to logical for all databases in your Neon project. Once the wal_level setting is changed to logical, it cannot be reverted. Enabling logical replication also restarts all computes in your Neon project, meaning active connections will be dropped and have to reconnect.

To enable logical replication in Neon:

1. Select your project in the Neon Console.
2. On the Neon Dashboard, select Settings.
3. Select Postgres, then Logical replication.
4. Click Enable to enable logical replication.

You can verify that logical replication is enabled by running the following query from the Neon SQL Editor:

SHOW wal_level;
 wal_level
-----------
 logical

It is recommended that you create a dedicated Postgres role for replicating data. The role must have the REPLICATION privilege. The default Postgres role created with your Neon project and roles created using the Neon CLI, Console, or API are granted membership in the neon_superuser role, which has the required REPLICATION privilege.

CLI

The following CLI command creates a role. To view the CLI documentation for this command, see Neon CLI commands — roles

neon roles create --name replication_user

Console

To create a role in the Neon Console:

1. Navigate to the Neon Console.
2. Select a project.
3. Select your branch from the project/branch menu at the top of the sidebar.
4. Under Postgres database, select Roles.
5. Click Add Role.
6. In the role creation dialog, specify a role name.
7. Click Create. The role is created, and you are provided with the password for the role.

API

The following Neon API method creates a role. To view the API documentation for this method, refer to the Neon API Reference.

curl 'https://console.neon.tech/api/v2/projects/{project_id}/branches/{branch_id}/roles' \
  -H 'Accept: application/json' \
  -H "Authorization: Bearer $NEON_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "role": {
    "name": "replication_user"
  }
}' | jq

Replace {project_id} and {branch_id} with your actual Neon project and branch IDs, and set the NEON_API_KEY environment variable with your Neon API key.

If your replication role does not own the schemas and tables you are replicating from, make sure to grant access. For example, the following commands grant access to all tables in the public schema to Postgres role replication_user:

GRANT USAGE ON SCHEMA public TO replication_user;
GRANT SELECT ON ALL TABLES IN SCHEMA public TO replication_user;
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO replication_user;

Granting SELECT ON ALL TABLES IN SCHEMA instead of naming the specific tables avoids having to add privileges later if you add tables to your publication.

For each table you would like to ingest into Decodable, set its replica identity to FULL. To do so, issue the following statement in the Neon SQL Editor:

ALTER TABLE <tbl1> REPLICA IDENTITY FULL;

Next, create a publication with the name dbz_publication. Include all the tables you would like to ingest into Decodable.

CREATE PUBLICATION dbz_publication FOR TABLE <tbl1, tbl2, tbl3>>;

Refer to the Postgres docs if you need to add or remove tables from your publication.

Upon start-up, the Decodable connector for Postgres will automatically create the replication slot required for ingesting data change events from Postgres. The slot's name will be prefixed with decodable_, followed by a unique identifier.

If you are using Neon's IP Allow feature to limit the IP addresses that can connect to Neon, you will need to allow inbound traffic from Decodable's IP addresses. Refer to the Decodable documentation for the list of IPs that need to be allowlisted for the Decodable region of your account. For information about configuring allowed IPs in Neon, see Configure IP Allow.

1. In the Decodable web UI, select Connections from the left navigation bar and click New Connection.

2. In the connector catalog, choose Postgres CDC and click Connect.

3. Enter the connection details for your Neon database. You can find your Neon database connection details by clicking the Connect button in the Console nav to open the Connect to your branch modal.

   Important: Use a direct connection to your compute endpoint, not a pooled connection. Logical replication requires a persistent connection and is not compatible with connection poolers. When copying your connection string from Neon, make sure it does not include -pooler in the hostname. For more information about connection pooling and when to use direct connections, see Connection pooling.

   Your connection string will look like this:

   postgresql://alex:AbC123dEf@ep-cool-darkness-123456.us-east-2.aws.neon.tech/dbname?sslmode=require&channel_binding=require

   Enter the details for your connection string into the source connector fields. Based on the sample connection string above, the values would be specified as shown below. Your values will differ.

   • Connection Type: Source (the default)
   • Host: ep-cool-darkness-123456.us-east-2.aws.neon.tech
   • Port: 5432
   • Database: dbname
   • Username: alex
   • Password: Click Add a new secret..., then specify a name for that secret and AbC123dEf as its value
   • Decoding Plugin Name: pgoutput (the default)
   

4. Click Next. Decodable will now scan the source database for all the tables that can be replicated. Select one or more table(s) by checking the Sync box next to their name. Optionally, you can change the name of the destination stream for each table, which by default will be in the form of <database name>__<schema name>__<table_name>. You can also take a look a the schema of each stream by clicking View Schema.

   

5. Click Next and specify a name for your connection, for instance: neon-source.

6. Click Create and start. The default start options in the following dialog don't require any changes, so click Start to launch the connector.

Once the connector is in Running state, navigate to the connected Decodable stream, via Outbound to... on the connector's overview tab. By clicking Run Preview, you can examine the change events ingested by the connector.

At this point, you have a running connector, which continuously ingests changes from a Neon database into Decodable with low latency. Next, you could set up one of the supported Decodable sink connectors which will propagate the data to a wide range of data stores and systems, such as Snowflake, Elasticsearch, Apache Kafka, Apache Iceberg, Amazon S3, any many more.

If needed, you also can add a processing step, either using SQL or by deploying your own Apache Flink job, for instance, to filter and transform the data before propagating it to an external system. Of course, you also can take your processed data back to another Neon database, using the Decodable sink connector for Postgres.

• Decodable: The Pragmatic Approach to Data Movement
• Getting Started With Decodable
• Connecting Decodable to Sources and Destinations
• About Decodable Pipelines
• Postgres Documentation: Logical Replication

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