ClickHouse Data Connection

Version 

Function Description 

ClickHouse is a column-oriented database management system (DBMS) for online analytical processing (OLAP) of queries.

FineDataLink supports connection to the ClickHouse database for data reading and writing using scheduled tasks, data writing using pipeline tasks, data writing using real-time tasks, and for releasing data services.

Note:

Only the ClickHouse database using the Atomic database engine supports the Auto Created Table function for data writing.

Prerequisite

For details, see Overview of Data Connection.

Version and Driver 

Download the driver package and upload it to FineDataLink. For the specific steps of uploading the driver package, see Driver Management. 

Connection Information Collection 

Collect the following information before connecting FineDataLink to the database.

• IP address and port number of the database server   

• Username and password of the database

• Schema of the database to be connected

1. Log in to FineDataLink as the admin, choose System Management > Data Connection > Data Connection Management, and choose Create > Data Connection, as shown in the following figure.

Note:

If you are not the admin, you can configure data connections only after the admin assigns you permission on Data Connection under Permission Management > System Management. For details, see Data Connection Management Permission. 

2. Set the data connection name. You can also modify the directory of this data connection.

3. Find the ClickHouse data source by searching the data source name or filtering the data source by Data Source Type, Supported Form, and Compatible Module, as shown in the following figure.

4. Click Custom, select the driver uploaded in the "Version and Driver" section, and enter the connection information collected in the section "Connection Information Collection." 

Click Click to Connect Database. If the connection is successful, you can select the schema, as shown in the following figure.

5. Click Save to save the data connection.

After configuring the data source, you can use it in Scheduled Task. For details, see Overview of Scheduled Task.

After configuring the data source, you can use it in Data Pipeline. For details, see Overview of Data Pipeline.

After configuring the data source, you can use it in Data Service. For details, see Overview of Data Service. 

After configuring the data source, you can use it in Real-Time Task. For details, see Overview of Real-Time Task.

Note:

 If you need to write data into an existing table using the real-time data development task, the _fdl_sign field is required in the table to mark the deletion.