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Materialized Queries with Incremental Updates

  • Sonali Chakraborty
  • Jyotika Doshi
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)

Abstract

Enterprise decision-making entails results extracted through Online Analytical Processing (OLAP) queries. The performance of result retrieval from data warehouse is a critical factor. Frequent OLAP queries have to access warehouse data repeatedly for generating the same results. To avoid executing the same OLAP query and access data warehouse, our approach suggests that queries are materialized and stored in a separate database named MQDB along with its results and other metadata information. When query is fired next time, results are fetched from MQDB, in case of no incremental updates. If incremental updates are required, then only incremental records from data warehouse are analyzed for retrieving updated results. Final results will be based on the results in MQDB and incremental result retrieved from data warehouse. Traversing through incremental records in data warehouse results in faster query result retrieval. This paper evaluates query execution time of materialized queries involving nonincremental as well as incremental updates using data warehouse.

Keywords

Data warehouse Materialized query Incremental updates 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Gujarat UniversityAhmedabadIndia
  2. 2.GLS UniversityAhmedabadIndia

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