The invention relates to a
system and method for realizing real-
time data association in the
big data environment. The
system comprises an association scheduling framework, a distributed storage framework, a
relational database and Redis servers, wherein the association scheduling framework is used for conducting intra-class association, inter association and concurrent scheduling on business objects; the distributed storage framework is used for establishing a
connection pool for a master
server of each Redis
server, storing data related to current
data association, sending cold data surpassing updating
time limit and excessive data surpassing memory
capacity limit to the
relational database, and inquiring key values of intra-class association and inter association transferred to the
relational database; the relational
database is used for storing key values of intra-class association, key values of inter association, intra-class contexts and monitoring contexts. Through the adoption of the
system and method, real-time association supporting
mass streaming data can be realized, the demand of complex association in various conditions can be met, the model generality is high, and the application range is relatively wide.