ClickHouse

Overview

The ClickHouse Load Node supports to write data into ClickHouse database. This document describes how to set up the ClickHouse Load Node to run SQL queries against ClickHouse database.

Supported Version

Dependencies

In order to set up the ClickHouse Load Node, the following provides dependency information for both projects using a build automation tool (such as Maven or SBT) and SQL Client with Sort Connectors JAR bundles.

Maven dependency

<dependency>
    <groupId>org.apache.inlong</groupId>
    <artifactId>sort-connector-jdbc</artifactId>
    <version>1.12.0</version>
</dependency>

How to create a ClickHouse Load Node

Usage for SQL API

-- MySQL extract node
CREATE TABLE `mysql_extract_table`(
  PRIMARY KEY (`id`) NOT ENFORCED,
  `id` BIGINT,
  `name` STRING,
  `age` INT
) WITH (
  'connector' = 'mysql-cdc-inlong',
  'url' = 'jdbc:mysql://localhost:3306/read',
  'username' = 'inlong',
  'password' = 'inlong',
  'table-name' = 'user'
)
-- ClickHouse load node
CREATE TABLE `clickhouse_load_table`(
  PRIMARY KEY (`id`) NOT ENFORCED,
  `id` BIGINT,
  `name` STRING,
  `age` INT
) WITH (
  'connector' = 'jdbc-inlong',
  'dialect-impl' = 'org.apache.inlong.sort.jdbc.dialect.ClickHouseDialect',
  'url' = 'jdbc:clickhouse://localhost:8123/demo',
  'username' = 'inlong',
  'password' = 'inlong',
  'table-name' = 'demo.user'
)
-- write data into ClickHouse
INSERT INTO clickhouse_load_table 
SELECT id, name , age FROM mysql_extract_table;

Usage for InLong Dashboard

When creating a data flow, select ClickHouse for the data stream direction, and click “Add” to configure it.

Usage for InLong Manager Client

TODO: It will be supported in the future.

ClickHouse Load Node Options

Data Type Mapping