tp: scan dataframes without SQLite - #7165
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A query which only reads a dataframe gives SQLite nothing to do. Read columns from dataframe storage and return borrowed batch views instead. Columns without one slot per row are expanded into a reusable batch-sized buffer. The planner still sends filtered, joined, grouped, or computed queries through SQLite.
Direct scans must only borrow stable finalized storage and must retain nullable ID values instead of treating every ID column as a non-null sequence.
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A query which only reads a dataframe gives SQLite nothing to do. The values
already have storage types and are laid out the way a batch needs them.
DataframeScan returns views over the dataframe's storage without copying.
Columns without one slot per row are expanded one batch at a time into a
reused buffer, so they still look dense to downstream operators.
The planner only takes this path for passthrough dataframes. Filtering,
joining, grouping, and expressions still go through SQLite.