March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Creating the loader component
The graph.g file consists of a structure of vertex to vertex. In the following graph.g file, if we align 1 to 2, this means that there is an edge between vertex ID 1 and vertex ID 2. The second line means that there's an edge from vertex ID 1 to 3, then from 2 to 3, and finally 3 to 5:
1 21 32 33 5
We will take the graph.g file, load it, and see how it will provide results in Spark. First, we need to get a resource to our graph.g file. We will do this using the getClass.getResource() method to get the path to it, as follows:
package com.tomekl007.chapter_7import org.apache.spark.SparkContextimport org.apache.spark.sql.SparkSessionimport org.scalatest.FunSuiteclass CreatingGraph extends FunSuite { val spark: SparkContext ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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