Spark Streaming, Spark SQL, and MLlib are modules that extend the capabilities of Spark.ĪlwaysOn SQL is a high availability service that responds to SQL queries from JDBC and ODBC applications. Using Spark modules with DataStax Enterprise.The dse exec command sets the environment variables required to run third-party tools that integrate with Spark.Ĭonfiguring Spark includes setting Spark properties for DataStax Enterprise and the database, enabling Spark apps, and setting permissions. Using DSE Spark with third party tools and integrations.The Spark Cassandra Connector allows you to create Java applications that use Spark to analyze database data. Getting started with the Spark Cassandra Connector.The Spark web interface facilitates monitoring, debugging, and managing Spark. Monitoring Spark with the web interfaceĪ Spark web interface is bundled with DataStax Enterprise.Database tables are fully usable from Spark. To run Spark commands against a remote cluster, you must export the DSE configuration from one of the remote nodes to the local client machine.ĭataStax Enterprise integrates Spark with DataStax Enterprise database. Running Spark commands against a remote cluster.How you start Spark depends on the installation and if want to run in Spark mode or SearchAnalytics mode: Information about Spark architecture and capabilities.ĭataStax Enterprise integrates with Apache Spark to allow distributed analytic applications to run using database data. Spark is the default mode when you start an analytics node in a packaged installation. Guidelines and steps to set the replication factor for keyspaces on DSE Analytics nodes.ĭSE SearchAnalytics clusters can use DSE Search queries within DSE Analytics jobs.ĭSE Analytics Solo datacenters provide analytics processing with Spark and distributed storage using DSEFS without storing transactional database data. Setting the replication factor for analytics keyspaces.
DSE Analytics includes integration with Apache Spark. Use DSE Analytics to analyze huge databases. Information on using DSE Analytics, DSE Search, DSE Graph, DSEFS (DataStax Enterprise file system), and DSE Advanced Replication.ĭataStax Enterprise 6.7 Analytics includes integration with Apache Spark. Information about configuring DataStax Enterprise, such as recommended production setting, configuration files, snitch configuration, start-up parameters, heap dump settings, using virtual nodes, and more. Information about developing applications for DataStax Enterprise.ĭataStax Enterprise 6.7 can be installed in a number of ways, depending on the purpose of the installation, the type of operating system, and the available permissions.
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