The Spark Graphx library provides built-in implementations for some very popular graph algorithms. These implementations help to perform various graph-based analytics in a simplified manner. The org.apache.Spark.graphx.GraphOps API allows for executing these operations on the graph. In this section, we will run graph-based analytics using the following implementations:
- Preface
- Introduction to Spark
- Revisiting Java
- Let Us Spark
- Understanding the Spark Programming Model
- Working with Data and Storage
- Spark on Cluster
- Spark Programming Model - Advanced
- Working with Spark SQL
- Near Real-Time Processing with Spark Streaming
- Machine Learning Analytics with Spark MLlib
- Learning Spark GraphX
Graph algorithms
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