Package

com.datastax

spark

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package spark

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  1. package connector

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    The root package of Cassandra connector for Apache Spark.

    The root package of Cassandra connector for Apache Spark. Offers handy implicit conversions that add Cassandra-specific methods to SparkContext and RDD.

    Call cassandraTable method on the SparkContext object to create a CassandraRDD exposing Cassandra tables as Spark RDDs.

    Call RDDFunctions saveToCassandra function on any RDD to save distributed collection to a Cassandra table.

    Example:

    CREATE KEYSPACE test WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 1 };
CREATE TABLE test.words (word text PRIMARY KEY, count int);
INSERT INTO test.words(word, count) VALUES ("and", 50);
    import com.datastax.spark.connector._

val sparkMasterHost = "127.0.0.1"
val cassandraHost = "127.0.0.1"
val keyspace = "test"
val table = "words"

// Tell Spark the address of one Cassandra node:
val conf = new SparkConf(true).set("spark.cassandra.connection.host", cassandraHost)

// Connect to the Spark cluster:
val sc = new SparkContext("spark://" + sparkMasterHost + ":7077", "example", conf)

// Read the table and print its contents:
val rdd = sc.cassandraTable(keyspace, table)
rdd.toArray().foreach(println)

// Write two rows to the table:
val col = sc.parallelize(Seq(("of", 1200), ("the", "863")))
col.saveToCassandra(keyspace, table)

sc.stop()

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