This paper gives a survey on current Skyline queries techniques. It first introduces the background in which Skyline queries appear. Then it presents in-memory algorithms in Skyline query problem. Facing to the situation of large data sets, it further presents the techniques about Skyline query processing by two cases, with or without indices respectively. Evaluations of Skyline query methods are discussed after that. This paper also introduces the novel query model-SKYCUBE which is applied to process multi-Skyline queries in various subspaces and related research based on it. Additionally, it introduces the efficient algorithm to solve Skyline queries in various applicant environment and the extension of the Skyline query processing. Finally, this paper proposes several directions for further research on the topic of Skyline query processing.