Paper Info
Title
Scaling Up Mixed Workloads: A Battle Of Data Freshness, Flexibility, And Scheduling
Abstract
The common "one size does not fit all" paradigm isolates transactional and analytical workloads into separate, specialized database systems. Operational data is periodically replicated to a data warehouse for analytics. Competitiveness of enterprises today, however, depends on real-time reporting on operational data, necessitating an integration of transactional and analytical processing in a single database system. The mixed workload should be able to query and modify common data in a shared schema. The database needs to provide performance guarantees for transactional workloads, and, at the same time, efficiently evaluate complex analytical queries. In this paper, we share our analysis of the performance of two main-memory databases that support mixed workloads, SAP HANA and HyPer, while evaluating the mixed workload CHbenCHmark. By examining their similarities and differences, we identify the factors that affect performance while scaling the number of concurrent transactional and analytical clients. The three main factors are (a) data freshness, i.e., how recent is the data processed by analytical queries, (b) flexibility, i.e., restricting transactional features in order to increase optimization choices and enhance performance, and (c) scheduling, i.e., how the mixed workload utilizes resources. Specifically for scheduling, we show that the absence of workload management under cases of high con-currency leads to analytical workloads overwhelming the system and severely hurting the performance of transactional workloads.
Year
DOI
Venue
2014
10.1007/978-3-319-15350-6_7
PERFORMANCE CHARACTERIZATION AND BENCHMARKING: TRADITIONAL TO BIG DATA
Keywords
Field
DocType
OLAP, OLTP, CH-benCHmark, SAP HANA, HyPer, Data freshness, Flexibility, Scheduling, Workload management
Data warehouse,Scheduling (computing),Workload,Computer science,Online transaction processing,SAP HANA,Analytics,Online analytical processing,Transactional leadership,Database
Conference
Volume
ISSN
Citations 
8904
0302-9743
10
PageRank 
References 
Authors
0.50
15
7
Name
Order
Citations
PageRank
Iraklis Psaroudakis1705.40
Florian Wolf2100.84
Norman May345535.64
Thomas Neumann42523156.50
Alexander Böhm5456.75
Anastasia Ailamaki64178349.12
Kai-uwe Sattler71144126.81