The invention discloses a data association query method and system in a RocksDB-based key-value storage mode and belongs to the technical field of operator optimization. The technical problem to be solved by the invention is how to improve the efficiency of traditional hash join calculation based on line-by-line reading and serial operation. The associated query efficiency is improved, the adoptedtechnical scheme is as follows: the method comprises the following steps: ; the method is applied to a key-value storage system. Each row of data is stored through a channel of go language, and thenthe data is read one by one to realize block reading, i.e., the data is processed by taking a block as a unit, and after the data block is received, the data is distributed to different Join Workers for parallel computing, so that the computing performance of a Hash Join operator is improved; the method specifically comprises the following steps: S1, reading data block by block; s2, all the modules are in cache communication through channels, all the modules are made to be executed asynchronously, and all the modules are made to end execution by sending end marks; and S3, calculating the mutual concurrent execution of the Join Workers.