Important: We've redesigned the Amazon QuickSight analysis workspace. You might encounter screenshots or procedural text that doesn't reflect the new look in the QuickSight console. We're in the process of updating screenshots and procedural text.
To find a feature or item, use the Quick search bar.
For more information on QuickSight's new look, see Introducing new analysis experience on Amazon QuickSight
Creating a data source using Apache Spark
You can connect directly to Apache Spark using Amazon QuickSight, or you can connect to Spark through Spark SQL. Using the results of queries, or direct links to tables or views, you create data sources in Amazon QuickSight. You can either directly query your data through Spark, or you can import the results of your query into SPICE.
Before you use Amazon QuickSight with Spark products, you must configure Spark for Amazon QuickSight.
Amazon QuickSight requires your Spark server to be secured and authenticated using LDAP, which is available to Spark version 2.0 or later. If Spark is configured to allow unauthenticated access, Amazon QuickSight refuses the connection to the server. To use Amazon QuickSight as a Spark client, you must configure LDAP authentication to work with Spark.
The Spark documentation contains information on how to set this up. To start, you need
to configure it to enable front-end LDAP authentication over HTTPS. For general
information on Spark, see the Apache spark
website
To make sure that you have configured your server for Amazon QuickSight access, follow the instructions in Network and database configuration requirements.
