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Oracle TimesTen: An In-Memory
Database for Enterprise Applications
A Paper by Tirthankar Lahiri, Marie-Anne Neimat & Steve Folkman
Presented by
Anchalin Puangmaha
Rungnapa Ruangthananrak
MA561: Seminar in Accounting Information Systems
Conclusion
Experimental
Results
IMDB Cache
Grid
High
Availability
Basic
Architecture
Introduction
TimesTen is an Oracle in-Memory database product
Experimental
Result
IMDB
Cache Grid
High
Availability
Basic
Architecture
Conclusions
and
FutureWork
Experimental
Results
IMDB Cache
Grid
High
AvailabilityIntroduction
Basic
Architecture
Basic Architecture :
1. APIs and connectivity
2. Basic storage manager
design
3. Transactional durability
Conclusions
and
FutureWork
Experimental
Results
IMDB Cache
GridIntroduction
Basic
Architecture
High
Availability
If a failure of the Active occurs, the Standby can be promoted to become
an Active Database. If a failure of the Standby occurs, the Active will then
replicate directly to the Read Only Subscribers.
Conclusions
and
FutureWork
Experimental
ResultsIntroduction
Basic
Architecture
High
Availability
IMDB Cache
Grid
Cache groups is a syntactic
declaration and comprises one Root
table, and optional Child tables
related by foreign key constraints.
Root Table
Child tables
In-memory cache grid, which consists of
a collection of IMDB Caches for an
application’s cached data and is deployed
in the application tier. Cached data is
distributed among the grid members.
Conclusions
and
FutureWork
Introduction
Basic
Architecture
High
Availability
IMDB Cache
Grid
Experimental
Results
Response time and throughput :
The combination of in-memory
execution and direct-linked
access allow TimesTen to provide
extremely low response times
The experiment of response times was run
on a standard commodity Intel Xeon 5670-
system with 2 processors and 12 cores,
running Oracle Enterprise Linux 5.6.
The measurement of throughput were
taken on a SPARC T5-8 system with 128
cores for TPTBM* and on a SPARC T5-2
system with 32 cores for a mobile call
processing benchmark.
* TPTBM : The standard TimesTen throughput performance benchmark
Conclusions
and
FutureWork
Introduction
Basic
Architecture
High
Availability
IMDB Cache
Grid
Experimental
Results
(a) Lookup on primary key (b) Table scan
Scaling across a grid : how TimesTen scales out when extended to the IMDB cache
configuration
[Left Graph] the grid scales very effectively as we increase the number of grid members
[Right Graph] the performance of global scans scales fairly linearly with the number of
participating grid members
Introduction
Basic
Architecture
High
Availability
IMDB Cache
Grid
Experimental
Results
Conclusion
Conclusions
ACID properties and transactional
semantics
Storage manager optimized for
IMDB and for high concurrency
SQL support with extensions for
analytics, stored procedures and
access
Very low response times as well as
very good scaling characteristics
Full database as well as table-level
multi-master replication for high
availability
List Of Capabilities
Thank You

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