There are four types of topology supported by the DataStage. These topologies are as follows:
1. Single Computer - In this topology Engine, meta-data repository, services and client resides on the single server. This topology will help for the small setup.
2. Two Computer - In this topology Engine, meta-data repository, services on one server and client resides on the other one. This topology will to manage the failures as all other components are on the same server and fail over happen all at once. This also eliminates the potential network bottleneck as the repository is on the same machine.
3. Three Computer - In this topology the Engine is installed on one machine and services and metadata repository being installed on second one. The third one is used for the client installation. In this setup the processing power would be more compared to previous two as engine will share the full power of the CPU. Also this can have the problem with the network latency in between. Also having separate repository database will make the fail over more complex.
4. Grid - Having multiple computers installed engines on them.
There are four types of topology supported by the DataStage. These topologies are as follows:
ReplyDelete1. Single Computer - In this topology Engine, meta-data repository, services and client resides on the single server. This topology will help for the small setup.
2. Two Computer - In this topology Engine, meta-data repository, services on one server and client resides on the other one. This topology will to manage the failures as all other components are on the same server and fail over happen all at once. This also eliminates the potential network bottleneck as the repository is on the same machine.
3. Three Computer - In this topology the Engine is installed on one machine and services and metadata repository being installed on second one. The third one is used for the client installation. In this setup the processing power would be more compared to previous two as engine will share the full power of the CPU. Also this can have the problem with the network latency in between. Also having separate repository database will make the fail over more complex.
4. Grid - Having multiple computers installed engines on them.