rdblue commented on code in PR #14234:
URL: https://github.com/apache/iceberg/pull/14234#discussion_r3197701376


##########
format/spec.md:
##########
@@ -707,6 +714,131 @@ For `geography` only, xmin (X value of `lower_bounds`) 
may be greater than xmax
 
 When calculating upper and lower bounds for `geometry` and `geography`, null 
or NaN values in a coordinate dimension are skipped; for example, POINT (1 NaN) 
contributes a value to X but no values to Y, Z, or M dimension bounds. If a 
dimension has only null or NaN values, that dimension is omitted from the 
bounding box. If either the X or Y dimension is missing then the bounding box 
itself is not produced.
 
+##### Content Stats
+
+In Iceberg v4 stats have been redesigned and are represented by using nested 
structs (`struct<struct<...>>`). The statistics for fields are tracked inside a 
nested struct of value counts and bounds (described in the next section). Each 
field-level statistics struct is a field of the `content_stats` struct, which 
holds all statistics for table fields.
+
+###### ID assignment for stats fields
+
+ID assignment follows a deterministic mapping from the **table ID space** to 
the **stats ID space**, where a given field ID from the **table ID space** gets 
an ID assigned from the **stats ID space** for each field-level statistics 
struct.
+Each field-level statistic listed in the [field stats types 
section](#field-stats-types) has a fixed offset. Its stats field ID is the 
enclosing stats struct's ID plus that offset.

Review Comment:
   I think that this section should not focus on ID assignment, but rather how 
to construct the struct that holds a field's statistics. To me, that starts 
with a short description: the stats are assigned an ID range based on the table 
field ID. The fields of the struct are assigned by adding an offset to the 
beginning of that range. Then we should have a table with the offsets.



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