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Scalability: number of files #2

@mih

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@mih

Use case: collection information about all files across many datasets

For an imaging research consortium this is easily 10s of millions without doing much.

A (metadata) file for each file that exists, all gathered in a single git repo doesn't work -- we have explored that space with metalad. The current spec already has provisions for splitting a long list of files into a tree, which could be assembled with a series of nested datalad datasets to host the metadata dump. We could also think about making it possible to store multiple records in a single file. Such a file would be an JSON/YAML object with record IDs as top-level keys -- we can do this here, we have identifiers for everything.

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