Packages

  • package root
    Definition Classes
    root
  • package io
    Definition Classes
    root
  • package tarantool
    Definition Classes
    io
  • package spark
    Definition Classes
    tarantool
  • package connector

    Tarantool connector for Apache Spark.

    Tarantool connector for Apache Spark.

    Call tarantoolSpace method on the SparkContext object to create a TarantoolRDD exposing Tarantool space as a Spark RDD.

    Example:

    Execute the following on a Cartridge router node (the tarantool/crud module must be installed):

    local crud = require('crud')

crud.insert('test_space', {1, nil, 'a1', 'Don Quixote', 'Miguel de Cervantes', 1605})
crud.insert('test_space', {2, nil, 'a2', 'The Great Gatsby', 'F. Scott Fitzgerald', 1925})
crud.insert('test_space', {3, nil, 'a3', 'War and Peace', 'Leo Tolstoy', 1869})

    Write the following in your Java client code:

    import io.tarantool.spark.connector._

val sparkMasterHost = "127.0.0.1"
val tarantoolRouterAddress = "127.0.0.1:3301"
val space = "test_space"

// Populate the Spark config with the address of a Cartridge router node and credentials:
val conf = new SparkConf(true)
conf.set ("tarantool.username", "admin")
conf.set ("tarantool.password", "testapp-cluster-cookie")
conf.set ("tarantool.hosts", tarantoolRouterAddress)

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

// Read the space and print its contents:
val rdd = sc.tarantoolSpace(space)
rdd.toArray().foreach(println)

sc.stop()
    Definition Classes
    spark
  • package config
    Definition Classes
    connector
  • package connection
    Definition Classes
    connector
  • package partition
    Definition Classes
    connector
  • package rdd
    Definition Classes
    connector
  • package util
    Definition Classes
    connector
  • Logging
  • SparkContextFunctions
  • SparkContextJavaFunctions
  • TarantoolSpark
  • TarantoolSparkException
c

io.tarantool.spark.connector

SparkContextFunctions

class SparkContextFunctions extends Serializable

Spark API for Tarantool. Provides Tarantool-specific methods on SparkContext

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  1. SparkContextFunctions
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Instance Constructors

  1. new SparkContextFunctions(sc: SparkContext)

Value Members

  1. final def !=(arg0: Any): Boolean
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  14. final def notifyAll(): Unit
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  15. val sc: SparkContext
  16. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
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  17. def tarantoolSpace[R](space: String, conditions: Conditions)(implicit ct: ClassTag[R], sparkContext: SparkContext = sc, readConfig: ReadConfig = ReadConfig(space).withConditions(conditions), tupleConverterFactory: TupleConverterFactory[R]): TarantoolReadRDD[R]

    Load data from Tarantool space as TarantoolRDD, filtering it with conditions.

    Load data from Tarantool space as TarantoolRDD, filtering it with conditions.

    This method is made available on SparkContext by importing io.tarantool.spark._

    Example: 

    local crud = require('crud')

crud.insert('test_space', {1, nil, 'a1', 'Don Quixote', 'Miguel de Cervantes', 1605})
crud.insert('test_space', {2, nil, 'a2', 'The Great Gatsby', 'F. Scott Fitzgerald', 1925})
crud.insert('test_space', {3, nil, 'a3', 'War and Peace', 'Leo Tolstoy', 1869})
...

val rdd = sc.tarantoolSpace("test_space", Conditions.indexGreaterThan("id", Collections.singletonList(1)));
rdd.first().getInteger("id"); // 1
rdd.first().getString("author"); // "Miguel de Cervantes"

    space

    space name

    conditions

    filtering conditions

    returns

    TarantoolReadRDD with tuples from the space

  18. def toString(): String
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  19. final def wait(): Unit
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