FairCom continues to make performance improvements to put your application ahead of the competition. The gains are especially apparent when scaling across a large number of concurrent users on multi-CPU systems.
In addition, the V10.3 update to c-treeACE is providing enhancements to the c-treeACE SQL internal temporary memory allocation routines which will improve performance and enhance stability with complex and large queries.
See the section titled Performance Gains for more information.
c-treeACE V10 introduced shared memory support on Unix systems to greatly improve the performance of localhost applications. Further improvements have been made to this functionality in V10.3.
See the section titled Improved and Expanded Shared Memory Support for more information.
V10 introduced compression support; this release makes further advances to help you deal with today’s large data files.
See the section titled Improved Compression Support for more information.
c-treeACE provides batch operations that have the potential to greatly improve performance when a group of related records needs to be processed. This release includes improvements to this feature that can result in greater efficiency.
See the section titled Batch updates for more information.
Enhancements to the SQL interface include the improvements listed below to name just a few:
See the section titled c-treeACE SQL for more information.
The list of available c-treeACE options that can be configured through environment variables has been expanded.
See the section titled Configuration Flexibility with Environment Variable Support for more information.
c-treeACE now supports additional management for concurrent user accounts:
See the section titled Greater User Connection Control for more information.
Continuing support for the latest platforms is included in this release. These include:
This release of c-treeACE includes graphical tools written in Java for cross-platform support. This support allows system administrators to leverage these powerful tools on any platform that supports c-treeACE and Java. Some of the tools have now been combined to simplify their operation. The following tools are available:
See the section titled Introducing Cross-Platform Java Tools for more information.