Progressive spatial Join query can be extensively applied in spatial data integration

online spatial aggregation query etc.systems.This paper proposes an efficient progressive spatial join query algorithm.We add spatial query strategy over existing progressive join query architecture

so it can be applied to spatial join query.We present a dynamic concurrent flush policy based on resident degree to process memory overflow

which makes memory-join phase more efficiently.We also propose an incomplete join query algorithm based on BEA

which reduces redundant I/O and CPU cost in disk join phase.Extensive experiments prove that our technique delivers results significantly faster than the previous methods.