Merged
Conversation
Like with TTree branches, prepare all data and functions before start reading
Try to mimic functionality which exists for the TTree
Also correct shift for the members without size value
Convert into Number to simplify processing. Later - once TTree::Draw supports BigInt - one can revert this changes
It requires to read previous offset to get start/stop offset for string
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Before start
RNtuplereading analyze which columns are read and prepare all functions before.Support list of entries or first/numentries arguments when processing RNtuple.
Read data only for entries which will be processed. So only pages which contains entries will be read.
Do not convert all entries into arrays but extract values only for entries which will be processed.
If the only entry processed - only its data extracted from the raw data.