Simple load graph from CSV.
Simple load graph from CSV. Columns from witch vertices will be created must be numeric identifiers of vertices
- CSV input file
- Loader config, with default value
- default vertex, has default value
- first column to be selected as vertex, default:0
- second column to be selected as vertex, default:1
- spark contex
Graph[String,Double] - loaded graph
Main method for graph loading from csv, should be used for extension and further development, please use case specific loading methods present in that object
Main method for graph loading from csv, should be used for extension and further development, please use case specific loading methods present in that object
- vertex attribute type
- edge attribute type
- CSV file
- graph builder to handle graph creation from csv file
- csv loader configuration
- spark context
Graph[VD,ED] - loaded graph
Load graph from given CSV file, indexing vertices toprovide each unique ID.
Load graph from given CSV file, indexing vertices toprovide each unique ID.
- vertex type
- edge type
- input CSV file
- CSV loader config , has default value
- default Vertex value
- first column to be selected as vertex, default:0
- second column to be selected as vertex, default:1
- provider for edge attribute, default 1L
- spark context
Graph[VD,ED] - loaded graph
Main class of csv loader Created by Roman Bartusiak (roman.bartusiak@pwr.edu.pl http://riomus.github.io).