OptimizationSpec:
+ https://iceberg.apache.org/docs/1.4.2/spark-procedures/ 
A table that has many files
- should have those files aggregated
  + Given data
			Datum(0,label_0,0,2025-03-28,2025-03-28 13:59:34.403)
			Datum(1,label_1,1,2025-03-27,2025-03-28 13:59:34.603)
			Datum(2,label_2,2,2025-03-26,2025-03-28 13:59:34.803)
			... 
  + And 20000 rows are initially written to table 'polaris.my_namespace.OptimizationSpec' 
  + When we execute the SQL 
CALL system.rewrite_data_files(
table => "polaris.my_namespace.OptimizationSpec",
options => map('min-input-files','2')) 
  + Then the files added to the original 4 are:
/tmp/polaris/my_namespace/OptimizationSpec/data/00000-92-ddfc702b-aea3-4aa5-a667-4cb744e2cf4c-0-00001.parquet
 
  + And there are no files deleted from the subsequent 5 
  + And these new files contain all the data 
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +  
- should have snapshots removed when expired
  + Given there are already 5 files for table polaris.my_namespace.OptimizationSpec 
  + When we execute the SQL:
CALL system.expire_snapshots(
table => "polaris.my_namespace.OptimizationSpec",
older_than => TIMESTAMP '2025-03-28 13:59:42.466',
stream_results => true) 
  + Then old files have been removed and only 1 remain 
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +  
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +