Presto Administration : Presto and MashZone Repositories
Presto and MashZone Repositories
 
Tuning the Presto or MashZone Repository Connection Pool
Synchronize the Presto Repository and Presto Server Time Zones
The Presto Repository is the database that the Presto Server uses to store meta-data, attributes and configuration for Presto including:
*Artifacts (mashable information sources, mashups, and apps)
*Macros
*Taxonomies such as categories, tags and providers
*Presto attributes (global, user and custom for artifacts)
*Configuration properties for the Presto Server
*Snapshots taken of mashable or mashup results.
If you are using the default User Repository, user and group data is also stored in the Presto Repository.
Important:  
The Presto Repository and MashZone Repository are initially installed in a Derby database suitable only for trialpurposes. For proof-of-concept, development or production uses, move both these repositories to a robust and compatible solution.
Similarly, the MashZone Repository holds meta-data for the MashZone feeds and connections supported by the Integrated MashZone Server for Presto.
Configuration and administration tasks for these two repositories include:
*Move the Presto and MashZone Repositories to a Robust Database Solution
*Support International Character Sets and Locales
*Use the Default Presto User Repository
*Change Presto Repository Ports
*Tuning the Presto or MashZone Repository Connection Pool
*Synchronize the Presto Repository and Presto Server Time Zones
*Sharing the Presto Repository in Clustered Environments
*Configure BigMemory Servers for Presto Caching and In-Memory Stores
*Maintenance Suggestions
Maintenance Suggestions
Your existing standards for database backups, security and maintenance can be applied to the Presto and MashZone Repositories. In addition, you should set up procedures to monitor or regularly manage growth for the Presto Auditable Events table. This table tracks audit information for updates to the Presto Repository.
You may also want to move snapshot data to a separate database to more easily manage growth and other operations for these datasets.
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