Re: [PR] feat: add `row_group_is_[max/min]_value_exact` to StatisticsConverter [arrow-rs]

["alamb (via GitHub)" <gi...@apache.org>]

alamb commented on code in PR #7574:
URL: https://github.com/apache/arrow-rs/pull/7574#discussion_r2119000113


##########
parquet/src/arrow/arrow_reader/statistics.rs:
##########
@@ -1403,6 +1403,48 @@ impl<'a> StatisticsConverter<'a> {
         max_statistics(data_type, iter, self.physical_type)
     }
 
+    /// Extract the `is_max_value_exact` flags from row group statistics in [`RowGroupMetaData`]
+    ///
+    /// See docs on [`Self::row_group_mins`] for details

Review Comment:
   ```suggestion
       /// See docs on [`Self::row_group_maxes`] for details
   ```



##########
parquet/tests/arrow_reader/mod.rs:
##########
@@ -987,6 +991,17 @@ fn create_data_batch(scenario: Scenario) -> Vec<RecordBatch> {
                 make_utf8_batch(vec![Some("e"), Some("f"), Some("g"), Some("h"), Some("i")]),
             ]
         }
+        Scenario::TruncatedUTF8 => {
+            // Make utf8 batch with strings longer than 64 bytes
+            // to check truncation of row group statistics
+            vec![make_utf8_batch(vec![

Review Comment:
   Could you also please add coverage for:
   1. They are not all truncated (e.g. make at least one of the groups less than 64 bytes)
   2. There is at least one null?
   
   I think it is important test coverage to include the is_exact flag for those cases too



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