Tag Archives: TM1 Feeders
How, in TM1/Planning Analytics, to feed from a consolidated element in one cube to a leaf element in another cube using a single consolidation feeder with a worked example.
Persistent Feeders can dramatically decrease the time required to restart a TM1 model. Here is an explanation of what Persistent Feeders are and instructions on how to implement them in your TM1 model.
Overfeeding is where TM1 feeders are targetting more cells than are required. This can lead to excess memory consumption and reduce performance. Here we explain over feeding and how to avoid it.
In the rules for many cubes we work with there are conditional feeders. These often cause us problems where the evaluated value changes from a zero to a non-zero value and the fed cell does not get initiated and therefore the rule does not calculate. Background on Feeders As you would undoubtedly be aware, TM1 is an in memory application and extremely efficient with utilising that memory. It is also … Continue Reading
This is just a shout out to all the administrators, support teams and developers who have browsed or subscribed to the TM1 Tutorials blog over the last two years. Thanks, your the best and we are so pleased to have the opportunity to share our time tested tips and tricks with you all If you are new to TM1 Tutorials, take a moment to read through the topics we have covered … Continue Reading
Conditional feeders can be used to minimize the storage impact of rule feeders. The typical situation occurs when rule values are calculated by multiplying factors, any of which may be zero. This means that the value should be fed only when all the factors are non-zero. Example Given a cube SalesBySalesperson with dimensions: Salesperson, Product, Month, Measures (‘Sales’ and ‘Commissions’) If you calculate Commissions based on Sales using a commission … Continue Reading