The invention discloses a user ID association method based on a big data technology. The method comprises the following steps: step A, reading configuration information; step B, according to the configuration information, pulling data from a data warehouse, and constructing vertexes and edges; step C, combining the repetitive items of the vertexes and the edges of the graph through SparkGraphx; step D, searching N-degree relations of vertexes of the graph in a directed manner and collecting the N-degree relations; step E, according to the N-degree relation node of each graph vertex collected in the previous step; step F, conducting confidence coefficient calculation on the ambiguous nodes collected in the last step according to a configured ambiguity rule, and completing affiliation judgment of ambiguous vertexes; and step G, according to the storage configuration, finally storing the output result in a specified database according to a specified format. The user ID association methodprovided by the invention has the advantages of more complete and more accurate mining data.