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Hi Dimitri and everyone,
It now works fine. Mind you, I understand the impacts of extreme hours ... I tried checking the performance of your key-based approach against David's for-each-group approach, but at 21000 nodes (sections), I still cannot detect any difference and if there is one, it is still well under a second. In fact, the whole process which involves reading and merging (2 x 2) 120 source WBS files and writing 60 result WBS files, each with over 500 nodes and 360 tasks/sections to process, takes less than 2 seconds. To get more differentiating results will involve using a very large dataset. I wonder if the key approach would use more or less resources than the grouping approach. I am inclined to think that on a very large dataset, the key approach may be advantageous because of all the group creation implied by the other approach, unless Saxon performs some smart optimization. What do you think ? Thank you again, ac
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