DataStax Enterprise 5. Use DSE Analytics to analyze huge databases. Guidelines and steps to set the replication factor for keyspaces on DSE Analytics nodes. Spark is the default mode when you start an analytics node in a packaged installation. Spark runs locally on each node. Information about Spark architecture and capabilities.
DataStax Enterprise integrates with Apache Spark to allow distributed analytic applications to run using database data. Configuring Spark includes setting Spark properties for DataStax Enterprise and the database, enabling Spark apps, and setting permissions. Spark Streaming allows you to consume live data streams from sources, including Akka, Kafka, and Twitter. This data can then be analyzed by Spark applications, and the data can be stored in the database.
This example uses Scala. Static columns are mapped to different columns in Spark SQL and require special handling. Apache SparkR is a front-end for the R programming language for creating analytics applications. DataStax Enterprise includes Spark example applications that demonstrate different Spark features. Note that preparing a query prior to execution provides validation information, but does not affect performance of the executed query.
The drivers maintain specific state related to the SQL mode used and set the option explicitly when creating the connection. Because the SQL mode is fixed when the connection is created, the drivers do not support switching SQL dialects using query prefixes. The drivers are available for download at no cost. Queries run using the driver are charged based on how the driver is configured:.
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