process

1. Introduction
2. Dataset definition
   1. Using a TFileCollection
   2. Using a TDSet
   3. Using a TChain
3. TProof::Process API
   1. Cycle-driven processing
   2. Data-driven processing
      1. Processing

In this section we will have a first look at PROOF processing starting from simple generations of random numbers. Historically this is not the way all this was developed, but we think it is easier to understand the various components starting from this use case.

1. TSelector framework
2. Filling a 1D histogram with random numbers

1. TSelector framework

NB: A new dataset management model, designed to solve scalability issues experienced with large number of datasets, has been introduced in 5-34-05 with as concrete example implementation the case of ALICE. The interface seen by the user is basically unchanged; however, some important additions have been done; ALICE users are invited to read the dedicated documentation.