This paper introduces Honeybee, a hybrid Hive and RDBMS system, and describes experimental results related with the performance of its query processing. According to our experimental results, in the case of join queries, unlike other queries, query processing delay becomes a problem due to an increase of the size of output data. To solve this problem, we define a new scheme IRP. We also show how the previous scheme IHP and the IRP can be combined together by carefully choosing a threshold value to further improve the join query processing performance.
in rdbms processing scheme,relational databases,hive system,hive,query processing delay,honeybee,join query processing performance,cost-based join processing,irp,hybrid rdbms,in hive processing scheme,join queries,rdbms,ihp,hybrid system,threshold value,hadoop,cost-based join processing scheme,query processing
Query optimization,Hash join,Recursive join,Relational database,Computer science,Theoretical computer science,Sort-merge join,Relational database management system,Hybrid system,Database,Processing delay