Fabric JDBC driver supports high concurrency with Spark SQL

The Microsoft Fabric JDBC driver now has general availability support for high concurrency in Spark SQL workloads coming from Java applications. ### Use cases Imagine you have a legacy Java application or a microservice that needs to query large-scale data in Fabric simultaneously. With this update, you can trigger multiple queries in parallel without connection bottlenecks. - Run multiple Spark SQL queries from Java - Integrate external applications with Fabric data ### How to use java import java.sql.Connection; import java.sql.DriverManager; import java.sql.ResultSet; import java.sql.Statement; public class FabricConcurrencyExample { public static void main(String[] args) { String url = "jdbc:spark://your_workspace.fabric.microsoft.com:443/default;transportMode=http;ssl=1"; try (Connection conn = DriverManager.getConnection(url, "token", "your_access_token"); Statement stmt = conn.createStatement(); ResultSet rs = stmt.executeQuery("SELECT * FROM my_table LIMIT 10")) { while (rs.next()) { System.out.println(rs.getString(1)); } } catch (Exception e) { e.printStackTrace(); } } } What happens in this code: 1. Establishes the JDBC connection to the Fabric endpoint using HTTP transport and SSL parameters. 2. Creates a statement to send commands to Spark SQL. 3. Executes the query concurrently with other application instances. ### Limitations and requirements Available as Generally Available (GA). You must use the updated JDBC driver version for Fabric Data Engineering and properly configure access credentials.