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What is io.confluent.connect.jdbc.jdbcsourceconnector and How to Download It for Data Exchange


How to Download io.confluent.connect.jdbc.jdbcsourceconnector




If you want to import data from any relational database with a JDBC driver into an Apache Kafka topic, you can use the Kafka Connect JDBC Source connector. This connector can support a wide variety of databases and query modes, and it can run in standalone or distributed mode. In this article, we will show you how to download and configure the connector, and how to use it to stream data from a database into Kafka.




download io.confluent.connect.jdbc.jdbcsourceconnector



What is io.confluent.connect.jdbc.jdbcsourceconnector and what does it do?




The io.confluent.connect.jdbc.jdbcsourceconnector is a Java class that implements the SourceConnector interface of Kafka Connect. It is part of the Confluent Platform, which is a distribution of Apache Kafka that provides additional features and integrations. The connector allows you to periodically execute a SQL query against a database and create an output record for each row in the result set. The output records are then sent to a Kafka topic, where they can be consumed by other applications or connectors.


What are the benefits and use cases of using it?




Using the JDBC source connector has several benefits and use cases, such as:


  • It simplifies data integration between databases and Kafka, as you don't need to write any custom code or use any intermediate tools.



  • It supports incremental query modes, which means that it can track which rows have been processed and which rows are new or updated, and only fetch the relevant data from the database.



  • It enables you to stream data from multiple tables or schemas, using whitelists or blacklists, or custom queries.



  • It enables you to leverage the scalability and fault-tolerance of Kafka Connect, as you can run the connector in standalone or distributed mode, depending on your needs.



  • It enables you to use Kafka as a central hub for data pipelines, streaming analytics, data integration, and mission-critical applications.



Prerequisites




Before you can download and configure the JDBC source connector, you need to have the following prerequisites:


  • A relational database with a JDBC driver. For this article, we will use MySQL as an example, but you can use any database that has a compatible driver.



  • A Kafka cluster with at least one broker and one ZooKeeper node. You can use Confluent Platform or Apache Kafka to set up your cluster.



  • Kafka Connect, which is included in Confluent Platform or Apache Kafka. You need to have at least one Kafka Connect worker node running.



  • The JDBC driver for your database. You need to download the driver JAR file and place it in a directory that is accessible by Kafka Connect.



How to install Kafka Connect and JDBC driver?




To install Kafka Connect, you can follow the instructions from , depending on which distribution you are using. You can run Kafka Connect in standalone mode (for development and testing) or distributed mode (for production).


To install the JDBC driver for your database, you can follow these steps:


How to download io.confluent.connect.jdbc.jdbcsourceconnector for Kafka Connect


Download io.confluent.connect.jdbc.jdbcsourceconnector and import data from any relational database


Download io.confluent.connect.jdbc.jdbcsourceconnector and configure JDBC source connector properties


Download io.confluent.connect.jdbc.jdbcsourceconnector and use catalog pattern to fetch table metadata


Download io.confluent.connect.jdbc.jdbcsourceconnector and use table whitelist or blacklist to filter tables


Download io.confluent.connect.jdbc.jdbcsourceconnector and use schema pattern to fetch table metadata


Download io.confluent.connect.jdbc.jdbcsourceconnector and use query mode to execute custom SQL queries


Download io.confluent.connect.jdbc.jdbcsourceconnector and use bulk mode to improve performance


Download io.confluent.connect.jdbc.jdbcsourceconnector and use incremental mode to capture changes


Download io.confluent.connect.jdbc.jdbcsourceconnector and use timestamp mode to track updates


Download io.confluent.connect.jdbc.jdbcsourceconnector and use timestamp+incrementing mode to track updates and inserts


Download io.confluent.connect.jdbc.jdbcsourceconnector and use incrementing mode to track inserts


Download io.confluent.connect.jdbc.jdbcsourceconnector and use query-based timestamp mode to track updates with custom queries


Download io.confluent.connect.jdbc.jdbcsourceconnector and use query-based timestamp+incrementing mode to track updates and inserts with custom queries


Download io.confluent.connect.jdbc.jdbcsourceconnector and use query-based incrementing mode to track inserts with custom queries


Download io.confluent.connect.jdbc.jdbcsourceconnector and use topic prefix to customize topic names


Download io.confluent.connect.jdbc.jdbcsourceconnector and use poll interval to control frequency of queries


Download io.confluent.connect.jdbc.jdbcsourceconnector and use batch size to control number of records per query


Download io.confluent.connect.jdbc.jdbcsourceconnector and use table types to specify types of tables to include


Download io.confluent.connect.jdbc.jdbcsourceconnector and use numeric mapping to specify how numeric values are represented in Kafka records


Download io.confluent.connect.jdbc.JdbcSourceConnector jar file from Confluent Maven repository


Download io.confluent.connect.jdbc.JdbcSourceConnector jar file from Confluent Hub client


Download io.confluent.connect.JdbcSourceConnector jar file from GitHub releases page


Download io.confluent.connect.JdbcSourceConnector jar file from Confluent Platform download page


Download io.confluent.connect.JdbcSourceConnector jar file from Confluent Cloud UI


Install io.confluent.connect.JdbcSourceConnector plugin on Kafka Connect cluster using Confluent CLI


Install io.confluent.connect.JdbcSourceConnector plugin on Kafka Connect cluster using REST API


Install io.confluent.connect.JdbcSourceConnector plugin on Kafka Connect cluster using Docker image


Install io.confluent.connect.JdbcSourceConnector plugin on Kafka Connect cluster using Helm chart


Install io.confluent.connect.JdbcSourceConnector plugin on Kafka Connect cluster using Ansible playbook


Deploy io.confluent.connect.JdbcSourceConnector on Confluent Cloud using Confluent Cloud UI


Deploy io.confluent.connect.JdbcSourceConnector on Confluent Cloud using Confluent CLI


Deploy io.confluent.connect.JdbcSourceConnector on Confluent Cloud using ccloud command-line tool


Deploy io.confluent.connect.JdbcSourceConnector on Confluent Cloud using Terraform provider


Deploy io.confluent.connect.JdbcSourceConnector on Confluent Cloud using Kubernetes Operator


Monitor io.confluent.connect.JdbcSourceConnector using Confluent Control Center UI


Monitor io.confluent.connect.JdbcSourceConnector using Confluent CLI


Monitor io.confluent.connect.JdbcSourceConnector using REST API


Monitor io.confluent.connect.JdbcSourceConnector using JMX metrics


Monitor io.confluent.connect.JdbcSourceConnector using Prometheus and Grafana dashboards


Troubleshoot io.confluent.connect.JdbcSourceConnector using Confluent Control Center UI


Troubleshoot io.confluent.connect.JdbcSourceConnector using Confluent CLI


Troubleshoot io.confluent.connect.JdbcSourceConnector using REST API


Troubleshoot io.confluent.connect.JdbcSourceConnector using Kafka Connect logs


Troubleshoot io.confluent.connect.JdbcSourceConnector using Kafka Connect status endpoint


Troubleshoot io.confluent.connect.JdbcSourceConnector using Kafka Connect error handling features


Troubleshoot io.confluent.connect.JdbcSourceConnector using Kafka Connect dead letter queue topic


Troubleshoot io.confluent.connect.JdbcSourceConnector using Kafka Connect retry policies and maximum retries


  • Download the driver JAR file from your database vendor's website. For example, for MySQL, you can download it from .



  • Create a directory for the driver JAR file on your Kafka Connect worker node. For example, /usr/share/java/kafka-connect-jdbc.



  • Copy the driver JAR file to the directory you created.



<li Steps to download and configure the connector




Now that you have the prerequisites ready, you can proceed to download and configure the JDBC source connector. You can download the connector from Confluent Hub or Maven repository, depending on your preference.


How to download the connector from Confluent Hub or Maven repository?




To download the connector from Confluent Hub, you can follow these steps:


  • Go to and search for "JDBC Source Connector".



  • Select the latest version of the connector and click on "Download".



  • Extract the ZIP file to a directory of your choice. For example, /usr/share/confluent-hub-components.



  • Add the directory to the plugin.path property in your Kafka Connect worker configuration file. For example, plugin.path=/usr/share/confluent-hub-components.



  • Restart your Kafka Connect worker node.



To download the connector from Maven repository, you can follow these steps:


  • Go to and search for "io.confluent.connect.jdbc.jdbcsourceconnector".



  • Select the latest version of the connector and click on "Download JAR".



  • Create a directory for the connector JAR file on your Kafka Connect worker node. For example, /usr/share/java/kafka-connect-jdbc.



  • Copy the connector JAR file to the directory you created.



Add the directory to the plugin.path property in your Kafka Connect worker configuration f


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