JDBC sink connector with nested JSON for SQL server

Hey, I am using JDBC sink connector and want to put nested JSON data in SQL server from Kafka topic. Do I need to flatten it using SMT in this case or there is any other ideal way to deal with?

Thank you.

Hi there! I’d personally use the flatten SMT and then rename fields as necessary (using rename SMT) before putting in the database. For more control, you can certainly also implement a streaming application to do these transformation for you. But it depends on your needs.


@danicafine how we can specify more than one transform in a connector configuration?

i am attaching one sample below, is it correct?
“transforms”: “flatten,RenameField”,
“transforms.flatten.type”: “org.apache.kafka.connect.transforms.Flatten$Value”,
“transforms.flatten.delimiter”: “_”,
“transforms.RenameField.type”: “org.apache.kafka.connect.transforms.ReplaceField$Value”,
“transforms.RenameField.renames”: “After_Name:Name”

Yes, you have the right idea! This blog explains it a little more formally.

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