Title :
Oracle Database In-Memory: A dual format in-memory database
Author :
Lahiri, Tirthankar ; Chavan, Shasank ; Colgan, Maria ; Das, Dinesh ; Ganesh, Amit ; Gleeson, Mike ; Hase, Sanket ; Holloway, Allison ; Kamp, Jesse ; Teck-Hua Lee ; Loaiza, Juan ; Macnaughton, Neil ; Marwah, Vineet ; Mukherjee, Niloy ; Mullick, Atrayee ; M
Author_Institution :
Server Technol., Oracle America, Redwood Shores, CA, USA
Abstract :
The Oracle Database In-Memory Option allows Oracle to function as the industry-first dual-format in-memory database. Row formats are ideal for OLTP workloads which typically use indexes to limit their data access to a small set of rows, while column formats are better suited for Analytic operations which typically examine a small number of columns from a large number of rows. Since no single data format is ideal for all types of workloads, our approach was to allow data to be simultaneously maintained in both formats with strict transactional consistency between them.
Keywords :
data mining; database indexing; information retrieval; storage management; transaction processing; OLTP workload; Oracle database in-memory; analytic operation; column format; data access; dual format in-memory database; index; row format; transactional consistency; Acceleration; Buffer storage; Indexes; Memory management; Optimization; Servers;
Conference_Titel :
Data Engineering (ICDE), 2015 IEEE 31st International Conference on
Conference_Location :
Seoul
DOI :
10.1109/ICDE.2015.7113373