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{ “title”: “PostgreSQL”, “language”: “en”, “description”: “Doris provides multiple ways to load data from PostgreSQL, including ad-hoc loading via JDBC Catalog, continuous full + incremental synchronization via Streaming Job, and CDC sync via Flink Doris Connector.” }

Doris provides the following ways to load data from PostgreSQL:

• Loading PostgreSQL data via JDBC Catalog

Doris uses JDBC Catalog to map PostgreSQL as an external catalog, allowing direct SQL queries against PostgreSQL data. Combined with INSERT INTO or CREATE TABLE AS SELECT, this is suitable for one-time migration or periodic batch loading.

• Continuously syncing PostgreSQL data via Streaming Job

Doris uses Streaming Job to continuously sync full and incremental data from PostgreSQL to Doris. By integrating Flink CDC reading capability, Doris keeps the job running, reads WAL from PostgreSQL and writes it to Doris tables with exactly-once semantics. Two modes are supported: SQL Mapping Sync and Auto Table Creation Sync. Available since Doris 4.1.0.

• Loading PostgreSQL data via Flink Doris Connector

Use Flink Doris Connector together with Flink Postgres CDC for real-time synchronization. This is suitable for scenarios that require additional Flink stream processing logic. The connector also provides a one-click full-database synchronization tool. For details, see Flink Doris Connector.

• Loading PostgreSQL data via third-party tools

Data integration tools such as DataX, SeaTunnel, and CloudCanal also support syncing data from PostgreSQL to Doris.

In most cases, you can use JDBC Catalog directly for one-time data migration. When continuous full + incremental synchronization is required, Streaming Job is recommended.

Loading PostgreSQL data via JDBC Catalog

Use JDBC Catalog to map PostgreSQL as an external catalog, then use INSERT INTO or CREATE TABLE AS SELECT to load data. For detailed syntax, see JDBC PostgreSQL Catalog.

Step 1: Prepare data in PostgreSQL

CREATE TABLE public.students (
    id    INT PRIMARY KEY,
    name  VARCHAR(64),
    age   INT
);

INSERT INTO public.students VALUES (1, 'Emily', 25), (2, 'Bob', 30);

Step 2: Create a Catalog in Doris

CREATE CATALOG pg_catalog PROPERTIES (
    "type"         = "jdbc",
    "user"         = "postgres",
    "password"     = "postgres",
    "jdbc_url"     = "jdbc:postgresql://127.0.0.1:5432/postgres",
    "driver_url"   = "postgresql-42.5.1.jar",
    "driver_class" = "org.postgresql.Driver"
);

Step 3: Create the target table in Doris

CREATE DATABASE IF NOT EXISTS doris_db;

CREATE TABLE doris_db.students (
    id    INT,
    name  VARCHAR(64),
    age   INT
)
UNIQUE KEY(id)
DISTRIBUTED BY HASH(id) BUCKETS 1
PROPERTIES ("replication_num" = "1");

Step 4: Load data with INSERT INTO

INSERT INTO doris_db.students
SELECT id, name, age FROM pg_catalog.postgres.public.students;

If the target table does not exist yet, you can also use CREATE TABLE AS SELECT to create the table and load data in one step:

CREATE TABLE doris_db.students
PROPERTIES ("replication_num" = "1")
AS
SELECT * FROM pg_catalog.postgres.public.students;

Step 5: Verify loaded data

SELECT * FROM doris_db.students;
+----+-------+------+
| id | name  | age  |
+----+-------+------+
|  1 | Emily |   25 |
|  2 | Bob   |   30 |
+----+-------+------+

Continuously syncing PostgreSQL data via Streaming Job

Streaming Job continuously reads PostgreSQL WAL via Flink CDC and writes it to Doris. Two modes are supported:

• PostgreSQL CDC with Auto Table Creation: Doris creates downstream tables automatically on first sync (use include_tables to sync one, several, or all tables). Provides at-least-once semantics.
• PostgreSQL CDC with SQL Mapping: target table must be pre-created in Doris. Supports flexible column mapping, data transformation, and exactly-once semantics.

Limitations

1. Only primary key tables (Unique Key) are supported.
2. Load privilege is required. Auto Table Creation Sync also needs Create privilege when auto-creating downstream tables on first run.
3. Available since Doris 4.1.0.

Prerequisites

Before submitting a Streaming Job, logical replication (wal_level=logical) must be enabled on the PostgreSQL side and the user must be granted the corresponding REPLICATION privileges. For environment-specific setup steps, see:

• Amazon RDS PostgreSQL Setup Guide
• Amazon Aurora PostgreSQL Setup Guide
• See Continuous Load Overview for notes and required permissions of each mode.

Operation Example: Auto Table Creation Sync

Auto Table Creation Sync uses the FROM POSTGRES ... TO DATABASE ... syntax. The target is a Doris database, and the downstream tables are automatically created on first sync.

Step 1: Prepare data in PostgreSQL

CREATE TABLE public.students (
    id    INT PRIMARY KEY,
    name  VARCHAR(64),
    age   INT
);

INSERT INTO public.students VALUES (1, 'Emily', 25), (2, 'Bob', 30);

Step 2: Create the target database in Doris

Auto Table Creation Sync does not require pre-creating tables, but the target database that hosts them must exist:

CREATE DATABASE IF NOT EXISTS doris_db;

Step 3: Create a Streaming Job

The example below uses include_tables to sync only the students table (multiple tables can be comma-separated; leave empty to sync the whole database):

CREATE JOB pg_db_sync
ON STREAMING
FROM POSTGRES (
    "jdbc_url"       = "jdbc:postgresql://127.0.0.1:5432/postgres",
    "driver_url"     = "postgresql-42.5.1.jar",
    "driver_class"   = "org.postgresql.Driver",
    "user"           = "postgres",
    "password"       = "postgres",
    "database"       = "postgres",
    "schema"         = "public",
    "include_tables" = "students",
    "offset"         = "initial"
)
TO DATABASE doris_db (
    "table.create.properties.replication_num" = "1"  -- set to 1 in single-BE deployments
);

Step 4: Check job status

SELECT * FROM jobs("type"="insert") WHERE ExecuteType = "STREAMING";

Step 5: Inspect auto-created Doris tables and loaded data

SHOW TABLES FROM doris_db;
SELECT * FROM doris_db.students;

For more common operations and full parameter reference, see PostgreSQL CDC with Auto Table Creation.

Operation Example: SQL Mapping Sync

Step 1: Prepare data in PostgreSQL

CREATE TABLE public.students (
    id    INT PRIMARY KEY,
    name  VARCHAR(64),
    age   INT
);

INSERT INTO public.students VALUES (1, 'Emily', 25), (2, 'Bob', 30);

Step 2: Create the target table in Doris

SQL Mapping Sync requires the target table to exist beforehand:

CREATE DATABASE IF NOT EXISTS doris_db;

CREATE TABLE doris_db.students (
    id    INT,
    name  VARCHAR(64),
    age   INT
)
UNIQUE KEY(id)
DISTRIBUTED BY HASH(id) BUCKETS 1
PROPERTIES ("replication_num" = "1");

Step 3: Create a Streaming Job

Use CREATE STREAMING JOB with the INSERT INTO ... SELECT * FROM cdc_stream(...) syntax:

CREATE JOB pg_students_sync
ON STREAMING
DO
INSERT INTO doris_db.students
SELECT * FROM cdc_stream(
    "type"         = "postgres",
    "jdbc_url"     = "jdbc:postgresql://127.0.0.1:5432/postgres",
    "driver_url"   = "postgresql-42.5.1.jar",
    "driver_class" = "org.postgresql.Driver",
    "user"         = "postgres",
    "password"     = "postgres",
    "database"     = "postgres",
    "schema"       = "public",
    "table"        = "students",
    "offset"       = "initial"
);

Step 4: Check job status

SELECT * FROM jobs("type"="insert") WHERE ExecuteType = "STREAMING";

Step 5: Verify loaded data

SELECT * FROM doris_db.students;

For more common operations (pause, resume, delete, check task, etc.) and full parameter reference, see PostgreSQL CDC with SQL Mapping.