![]() The JDBC sink operate in upsert mode for exchange UPDATE/DELETE messages with the external system if a primary key is defined on the DDL, otherwise, it operates in append mode and doesn’t support to consume UPDATE/DELETE messages. This document describes how to setup the JDBC connector to run SQL queries against relational databases. The JDBC connector allows for reading data from and writing data into any relational databases with a JDBC driver. Scan Source: Bounded Lookup Source: Sync Mode Sink: Batch Sink: Streaming Append & Upsert Mode We recommend you use the latest stable version. This documentation is for an out-of-date version of Apache Flink. Conversions between PyFlink Table and Pandas DataFrame. ![]()
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