FineDataLink supports connection to Seabox MPP for data writing using pipeline tasks and data reading and writing using scheduled tasks.
Download the driver package and upload it to FineDataLink. For the specific steps of uploading the driver package, see the section "Prerequisite" of Driver Management.
Supported Database Version
Driver Package Download
SeaboxMPP 21.0.3.398
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
1. Log in to FineDataLink as the admin, choose System Management > Data Connection > Data Connection Management, and click New Data Connection, as shown in the following figure.
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. Click the SeaboxMPP icon.
3. Fill in the connection information.
You can modify the connection pool settings. For details, see Connection Pool Setting.
4. Click Test Connection. If the connection is successful, click Save to save the configuration.
For FineDataLink 4.0.28 and later releases, Pipeline Task supports data writing into the SeaboxMPP database. For details, see Overview of Data Pipeline.
For FineDataLink 4.1.5.5 and later releases, Scheduled Task supports the reading from and writing into the SeaboxMPP database.
When writing data into a SeaboxMPP database, you can set Load Method to COPY Loading or Common Loading. As shown in the following figure.
Load Method
Description
It is selected by default for JDBC-based parallel loading.
Prerequisites:
To use COPY Loading, ensure the target database and users meet the following requirements:
Create a fdl_temp schema in the target database to store temporary tables.
Have permission to create tables and specified schemas. (If the schema has been created, on which the database administrator has assigned the permission, database users do not need the schema creation permission).
Working principles:
The loading effect varies with the write method when you select COPY Loading.
Write Method
Use COPY Loading.
Ignore Source Data If Same Primary Key Exists
Record as Dirty Data If Same Primary Key Exists
Overwrite Data in Target Table If Same Primary Key Exists
Use COPY Loading and Common Loading:
Each batch of data is loaded using the COPY method first.
If the COPY loading method fails, the batch of data will be written using the common loading method. Any data that fails to be written will be recorded as dirty data. Once the write of this batch is completed, the next batch will again prioritize the COPY method for loading.
Add/Modify/Delete data based on the identifier field.
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