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[on hold] RNTuple example #245
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Can you put these numbers in perspective? |
As a quick answer, I can only provide you with experience and guesses:
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* allow dynamic field types in the record dimension * add specializations to most of the core functions * add llama::dynamic to signal a dynamic array member in a RecordCoord * extend VirtualRecord to allow holding dynamic indices * extend blobNrAndOffset to allow for additional dynamic indices * add OffsetTable mapping * add customization allowing to dump OffsetTable mappings * add a few unit tests
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This is an example for using LLAMA with data loaded from an RNTuple via the ROOT data analysis framework.
At the moment, a LLAMA view is created to hold all events stored in the RNTuple file, excluding subarrays. This data contains 1095 columns.
It compiles in 2min, needs ~2GiB of memory at runtime and copies from RNTuple to LLAMA in 26s.