Use change data capture to stream data from Azure SQL databases to any data sink and transform them on the way.
Please make sure that the Azure SQL database allows connections from the public IP address of DataCater.
Please also make sure that the Azure SQL user can access the configured table and the system tables
This source connector supports the following configuration options:
Azure server name
The name of the Azure server.
The name of the user.
The password of the user.
The name of the Azure SQL database.
The name of the Azure SQL schema (default:
The name of the Azure SQL database table. You may retrieve the list of tables available in the given database and schema by clicking on Fetch table names.
Change Data Capture mode
You may choose one of the following modes for change data capture:
BULK: Recurringly load all data from the table. Basically no change data capture at all.
INCREMENTING: Use the primary key column, specified using the Primary key column configuration option, to recurringly extract new records. This mode does only extract INSERTs, but skips UPDATEs and DELETEs.
TIMESTAMP/INCREMENTING: Use the primary key column and the timestamp column, specified using the Primary key column and Timestamp column configuration options, to recurringly extract new and updated records. This mode does only extract INSERTs and UPDATEs, but skips DELETEs.
Primary key column
If the database table does not specify any primary key, please define a column to be used as primary key here.
DataCater can use a timestamp column, which stores the time of the most recent update of a record, to detect record updates. Specifying the timestamp column is required when using TIMESTAMP/INCREMENTING as Change Data Capture mode.
The interval in seconds between synchronizations of the Azure SQL Database and DataCater (default: