szehon-ho commented on code in PR #10981:
URL: https://github.com/apache/iceberg/pull/10981#discussion_r1889044843


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format/spec.md:
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@@ -584,8 +589,8 @@ The schema of a manifest file is a struct called 
`manifest_entry` with the follo
 | _optional_ | _optional_ | _optional_ | **`110  null_value_counts`**      | 
`map<121: int, 122: long>`                                                  | 
Map from column id to number of null values in the column                       
                                                                                
                                                   |
 | _optional_ | _optional_ | _optional_ | **`137  nan_value_counts`**       | 
`map<138: int, 139: long>`                                                  | 
Map from column id to number of NaN values in the column                        
                                                                                
                                                   |
 | _optional_ | _optional_ | _optional_ | **`111  distinct_counts`**        | 
`map<123: int, 124: long>`                                                  | 
Map from column id to number of distinct values in the column; distinct counts 
must be derived using values in the file by counting or using sketches, but not 
using methods like merging existing distinct counts |
-| _optional_ | _optional_ | _optional_ | **`125  lower_bounds`**           | 
`map<126: int, 127: binary>`                                                | 
Map from column id to lower bound in the column serialized as binary [1]. Each 
value must be less than or equal to all non-null, non-NaN values in the column 
for the file [2]                                     |
-| _optional_ | _optional_ | _optional_ | **`128  upper_bounds`**           | 
`map<129: int, 130: binary>`                                                | 
Map from column id to upper bound in the column serialized as binary [1]. Each 
value must be greater than or equal to all non-null, non-Nan values in the 
column for the file [2]                                  |
+| _optional_ | _optional_ | _optional_ | **`125  lower_bounds`**           | 
`map<126: int, 127: binary>`                                                | 
Map from column id to lower bound in the column serialized as binary [1]. Each 
value must be less than or equal to all non-null, non-NaN values in the column 
for the file [2]. See [7] for`geometry` and [8] for `geography`.  |
+| _optional_ | _optional_ | _optional_ | **`128  upper_bounds`**           | 
`map<129: int, 130: binary>`                                                | 
Map from column id to upper bound in the column serialized as binary [1]. Each 
value must be greater than or equal to all non-null, non-Nan values in the 
column for the file [2]. See [9] for `geometry` and [10] for `geography`. |

Review Comment:
   @jiayuasu beginner questions to learn:
   
   What is the difference between a Geography type with planar edge algorithm 
and Geometry in this case ?  (We dont have planar edge algorithm type, but just 
assuming we model that way). I thought initially the difference is Geometry 
doesnt have the wraparound and Geography does.
   
   And also in this case, should I just collapse 7+8 and 9 + 10 then?  I guess 
the westernmost/ easternmost concept we put in points 8 and 10 apply to 
Geometry as well then? (I assume thats the same as anti-meridian crossing).



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