Update Java README files to reference JDBC connector

java/pgjdbc/README.md

@@ -9,14 +9,14 @@ Aurora DSQL is a distributed SQL database service that provides high availabilit
 your PostgreSQL-compatible applications. `pgJDBC` is a popular PostgreSQL adapter for Java that allows
 you to interact with PostgreSQL databases using Java code.
 
+This example uses the Aurora DSQL JDBC Connector to handle IAM authentication automatically.
+
 ## About the code example
 
 The example demonstrates a flexible connection approach that works for both admin and non-admin users:
 
-* When connecting as an **admin user**, the example uses the `public` schema and generates an admin authentication
-  token.
-* When connecting as a **non-admin user**, the example uses a custom `myschema` schema and generates a standard
-  authentication token.
+* When connecting as an **admin user**, the example uses the `public` schema.
+* When connecting as a **non-admin user**, the example uses a custom `myschema` schema.
 
 The code automatically detects the user type and adjusts its behavior accordingly.
 
@@ -114,6 +114,7 @@ The example contains comments explaining the code and the operations being perfo
 ## Additional resources
 
 * [Amazon Aurora DSQL Documentation](https://docs.aws.amazon.com/aurora-dsql/latest/userguide/what-is-aurora-dsql.html)
+* [Amazon Aurora DSQL JDBC Connector](https://github.com/awslabs/aurora-dsql-jdbc-connector)
 * [pgJDBC Documentation](https://jdbc.postgresql.org/documentation/)
 * [AWS SDK for Java Documentation](https://docs.aws.amazon.com/sdk-for-java/)
 

java/pgjdbc_hikaricp/README.md

@@ -9,13 +9,15 @@ This example demonstrates how to connect to Aurora DSQL using HikariCP connectio
 - **Monitoring**: Built-in metrics and leak detection
 - **Configuration**: tuning options to align with token refresh
 
+This example uses the Aurora DSQL JDBC Connector to handle IAM authentication automatically.
+
 ## About the code example
 
-The example maintains the flexible connection approach as maintained in the standalone `pgJDBC` and Amazon Aurora DSQL example and continues to work for both admin and non-admin users. It introduces connection pooling via the HikariCP library and supports DSQL's dynamic IAM token generation and token refresh.
+The example maintains the flexible connection approach as maintained in the standalone `pgJDBC` and Amazon Aurora DSQL example and continues to work for both admin and non-admin users. It introduces connection pooling via the HikariCP library.
 
-### Token Refresh Architecture
+### IAM Authentication
 
-Aurora DSQL uses IAM-based authentication with short-lived tokens (15 minutes by default). This example implements a custom `CustomPGDataSource` that extends PostgreSQL's `PGSimpleDataSource` to automatically generate fresh tokens for each connection request. The token generation process uses AWS SDK's `DsqlUtilities` to create admin or non-admin tokens based on the user type.
+Aurora DSQL uses IAM-based authentication with short-lived tokens (15 minutes by default). The Aurora DSQL JDBC Connector handles token generation and refresh automatically, creating admin or non-admin tokens based on the user type.
 
 ## ⚠️ Important
 
@@ -138,8 +140,9 @@ These settings provide a production-ready configuration that handles Aurora DSQL
 
 ## Additional resources
 
-- [HikariCP](https://github.com/brettwooldridge/HikariCP)
 - [Amazon Aurora DSQL Documentation](https://docs.aws.amazon.com/aurora-dsql/latest/userguide/what-is-aurora-dsql.html)
+- [Amazon Aurora DSQL JDBC Connector](https://github.com/awslabs/aurora-dsql-jdbc-connector)
+- [HikariCP](https://github.com/brettwooldridge/HikariCP)
 - [pgJDBC Documentation](https://jdbc.postgresql.org/documentation/)
 - [AWS SDK for Java Documentation](https://docs.aws.amazon.com/sdk-for-java/)
 

java/spring_boot/README.md

@@ -8,14 +8,14 @@ shows you how to connect to an Aurora DSQL cluster and perform basic database op
 Aurora DSQL is a distributed SQL database service that provides high availability and scalability for
 your PostgreSQL-compatible applications.
 
+This example uses the Aurora DSQL JDBC Connector to handle IAM authentication automatically.
+
 ## About the code example
 
 The example demonstrates a flexible connection approach that works for both admin and non-admin users:
 
-* When connecting as an **admin user**, the example uses the `public` schema and generates an admin authentication
-  token.
-* When connecting as a **non-admin user**, the example uses a custom `myschema` schema and generates a standard
-  authentication token.
+* When connecting as an **admin user**, the example uses the `public` schema.
+* When connecting as a **non-admin user**, the example uses a custom `myschema` schema.
 
 The code automatically detects the user type and adjusts its behavior accordingly.
 
@@ -120,10 +120,11 @@ mvn spring-boot:run
 
 ## Additional resources
 
+- [Amazon Aurora DSQL Documentation](https://docs.aws.amazon.com/aurora-dsql/latest/userguide/what-is-aurora-dsql.html)
+- [Amazon Aurora DSQL JDBC Connector](https://github.com/awslabs/aurora-dsql-jdbc-connector)
 - [Spring Boot Documentation](https://spring.io/projects/spring-boot)
 - [Spring Data JDBC](https://spring.io/projects/spring-data-jdbc)
 - [HikariCP](https://github.com/brettwooldridge/HikariCP)
-- [Amazon Aurora DSQL Documentation](https://docs.aws.amazon.com/aurora-dsql/latest/userguide/what-is-aurora-dsql.html)
 - [AWS SDK for Java Documentation](https://docs.aws.amazon.com/sdk-for-java/)
 
 ---