Spark GraphFrames.
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import pyspark | |
from pyspark import SparkContext, SparkConf, SQLContext | |
from pyspark.sql import SparkSession | |
conf = SparkConf().setMaster("local") | |
sc = SparkContext(conf=conf) | |
spark = SparkSession.builder.appName('Noether').getOrCreate() | |
sc.addPyFile("~/Downloads/graphframes-0.5.0-spark2.1-s_2.11.jar") | |
from graphframes import * | |
sqlContext = SQLContext(spark) | |
v = sqlContext.createDataFrame([ | |
("a", "Alice", 34), | |
("b", "Bob", 36), | |
("c", "Charlie", 30), | |
("d", "David", 29), | |
("e", "Esther", 32), | |
("f", "Fanny", 36), | |
("g", "Gabby", 60) | |
], ["id", "name", "age"]) | |
# Edge DataFrame | |
e = sqlContext.createDataFrame([ | |
("a", "b", "friend"), | |
("b", "c", "follow"), | |
("c", "b", "follow"), | |
("f", "c", "follow"), | |
("e", "f", "follow"), | |
("e", "d", "friend"), | |
("d", "a", "friend"), | |
("a", "e", "friend") | |
], ["src", "dst", "relationship"]) | |
# Create a GraphFrame | |
g = GraphFrame(v, e) | |
v = sqlContext.createDataFrame([ | |
("a", "Alice", 34), | |
("b", "Bob", 36), | |
("c", "Charlie", 30), | |
], ["id", "name", "age"]) | |
# Create an Edge DataFrame with "src" and "dst" columns | |
e = sqlContext.createDataFrame([ | |
("a", "b", "friend"), | |
("b", "c", "follow"), | |
("c", "b", "follow"), | |
], ["src", "dst", "relationship"]) | |
# Create a GraphFrame | |
from graphframes import * | |
g = GraphFrame(v, e) | |
# Query: Get in-degree of each vertex. | |
g.inDegrees.show() | |
# Query: Count the number of "follow" connections in the graph. | |
g.edges.filter("relationship = 'follow'").count() | |
# Run PageRank algorithm, and show results. | |
results = g.pageRank(resetProbability=0.01, maxIter=20) | |
results.vertices.select("id", "pagerank").show() |
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