Connect to a SQL Server big data cluster with Azure Data Studio

THIS TOPIC APPLIES TO:YesSQL Server 2019 and later NoAzure SQL DatabaseNoAzure Synapse Analytics NoParallel Data Warehouse

This article describes how to connect to a SQL Server 2019 Big Data Clusters from Azure Data Studio.

Prerequisites

Connect to the cluster

To connect to a big data cluster with Azure Data Studio, make a new connection to the SQL Server master instance in the cluster. Here's how.

  1. Find the SQL Server master instance endpoint:

    azdata bdc endpoint list -e sql-server-master
    

    Tip

    For more information on how to retrieve endpoints see Retrieve endpoints.

  2. In Azure Data Studio, press F1 > New Connection.

  3. In Connection type, select Microsoft SQL Server.

  4. Type the endpoint name you found for SQL Server master instance in the Server name textbox (for example: <IP_Address>,31433).

  5. Choose your authentication type. For the SQL Server master instance running in a big data cluster, only Windows Authentication and SQL login are supported.

  6. If you're using SQL Login, enter your SQL login User name and Password.

    Tip

    By default, the user name SA is disabled during big data cluster deployment. A new sysadmin user is provisioned during deployment with the name and password corresponding to the AZDATA_USERNAME and AZDATA_PASSWORD environment variables, which were set either before or during deployment.

  7. Change the target Database name to one of your relational databases.

    Connect to the master instance

  8. Press Connect, and the Server Dashboard should appear.

With the February 2019 release of Azure Data Studio, connecting to the SQL Server master instance also enables you to interact with the HDFS/Spark gateway. This means that you do not need to use a separate connection for HDFS and Spark that the next section describes.

  • The Object Explorer now contains a new Data Services node with right-click support for big data cluster tasks, such as creating new notebooks or submitting spark jobs.

  • The Data Services node also contains an HDFS folder to allow you to explore the contents of the HDFS and perform common tasks involving the HDFS (for example, creating an external table or opening a notebook to analyze the HDFS contents).

  • The Server Dashboard for the connection also contains tabs for SQL Server big data cluster and SQL Server 2019 when the extension is installed.

    Azure Data Studio Data Services Node

Next steps

For more information about SQL Server 2019 Big Data Clusters, see What are SQL Server 2019 Big Data Clusters.