Download spark cassandra connector download#

The spark-cassandra-connector-embedded Artifact.

Saving and deleting datasets to/from Cassandra.

Working with user-defined case classes and tuples.

Server-side data selection and filtering.The default Scala version for Spark 2.0+ is 2.11 please choose the appropriate build.LibraryDependencies += '' %% 'spark-cassandra-connector' % '2.5.1'

Download spark cassandra connector download#

This project has also been published to the Maven Central Repository.ДЇor SBT to download the connector binaries, sources and javadoc, put this in your project This project is available on Spark Packages this is the easiest way to start using the connector: * Compatible with 2.1.X where X >= 5 Hosted API DocsДЄPI documentation for the Scala and Java interfaces are available online: 2.5.1 The 'master' branch will normally containДevelopment for the next connector release in progress. Named 'bX.Y' where X.Y is the major+minor version for example the 'b1.6' branchД¬orresponds to the 1.6 release. Supported versions of Spark and Cassandra. The connector project has several branches, each of which map into different Could be used in all languages supporting Datasets/DataFrames API: Python, R, etc.Plays nice with Cassandra Virtual Nodes.Allows for execution of arbitrary CQL statements.Filters rows on the server side via the CQL WHERE clause.Supports all Cassandra data types including collections.Converts data types between Cassandra and Scala.Partition RDDs according to Cassandra replication using repartitionBењњassandraReplica call.Optimizes join with data in Cassandra when using Datasets/DataFrames Join with a subset of Cassandra data using joinWithCassandraTable call for RDDs, and.Delete rows and columns from cassandra by implicit deleteFromCassandra call.Saves RDDs back to Cassandra by implicit saveToCassandra call.

Offers customizable object mapper for mapping rows to objects of user-defined classes.

Maps table rows to CassandraRow objects or tuples.

Exposes Cassandra tables as Spark RDDs and Datasets/DataFrames.

Compatible with Apache Spark 1.0 through 2.4 (see table below).

Compatible with Apache Cassandra version 2.1 or higher (see table below).

Spark RDDs and Datasets/DataFrames to Cassandra tables, and execute arbitrary CQL queries This library lets you expose Cassandra tables as Spark RDDs and Datasets/DataFrames, write Lightning-fast cluster computing with Apache Sparkв„ў and Apache CassandraВ®. Most Recent Release (2.5.1): Spark-Cassandra-Connector, Spark-Cassandra-Connector-Driver Spark Cassandra Connector Quick Links WhatД¬hat with us at Datastax and Cassandra Q&A