Application of database pool technology for job concurrent scale in large-scale cluster environment
As the core component of multidisciplinary data storage and management of seismic exploration processing soft-ware system,the database supports the reading and writing access requirements of processing jobs at the bottom.With the rapid development of seismic exploration processing technology,the concurrent scale of processing jobs under large-scale clus-ters is also expanding rapidly.The e's conventional read-write integrated deployment mode makes it challenging to support the read-write requests of large-scale concurrent jobs.This paper presents a concurrent scenario for data processing of large-scale cluster seismic exploration,The database adopts"1+N"The connection pool optimization technology of"read-write separation deployment mode"designs a resource allocator based on the node information of the database server,reasonably optimizes the database read-write requests of concurrent jobs,and has been verified in the laboratory environment and actual seismic explora-tion data processing production.It can support processing long things and high concurrency under large-scale cluster Database access requests.
国家科技期刊平台
NSTL
万方数据
维普
