Supported JDBC drivers
Valid from Pega Version 7.1.1
Pega 7.1.1 supports Java 6 and Java 7 SDKs only. Ensure that the JDBC driver you are using supports those versions of Java. See your database installation or upgrade documentation for additional information.
Database | Java 6 | Java 7 |
---|---|---|
Oracle | ojdbc6.jar | ojdbc7.jar |
MSQL | sqljdbc4.jar | sqljdbc4.jar |
DB2 LUW | db2jcc4.jar | db2jcc4.jar |
DB2 z/OS* | db2jcc4.jar or jdb2jcc.jar** | db2jcc4.jar |
PostgreSQL | postgresql-9.1-903.jdbc4.jar*** | postgresql-9.1-903.jdbc4.jar |
* JDBC drivers are only available from the DB2 for z/OS product. Additionally, you need db2jcc_license_cisuz.jar in the same directory as db2jcc4.jar.
** The db2jcc.jar has been deprecated and may not be supported in future releases.
*** This .jar file is required for PostgreSQL version 9.1.x.
EAR support for JBoss EAP 6
Valid from Pega Version 7.1.5
PRPC deployment in JBoss EAP 6 as an EAR archive is now supported.
If you need to deploy the JBoss EAR file, go to My Support Portal and submit a Support Request. GCS can assist you with the procedure.
Small distribution kit
Valid from Pega Version 7.1.5
A new “small” release distribution format for Maintenance Levels (ML) is now available, designed to significantly increase adoption via:
- Minimal package size and faster download time
- Minimal install time via tactical changes to the upgrade implementation and process
This kit contains streamlined installers (both UI and command-line installers) and specialized error handling for ML updates (for example, a “small” kit will only work if an existing version of the same release is already installed).
The kit assembly has also been automated, which includes the construction of a PRPC_Rules.jar archive containing cumulative rules since the GA release.
A “small” kit will work for any prior ML release within a major release (for example, the “small” ML5 distribution kit will update any customer on 7.1 ML1 through 7.1 ML4).
Improved data page performance
Valid from Pega Version 7.1.5
Improvements have been made with queueing and processing of asynchronously-loaded data pages to reduce the number of calls to the database and avoid generating performance problems because of unneeded asynchronous requests.