Spark3.5: Support ROW level operation on insert-replace-where

[dolcino-li]

Spark has insert-replace-where query since version 3.5.

Current Iceberg only has metadata-level support, this pr will contribute a row-level support.
If table could use metadata to achieve the insert-replace-where, then will keep the original overwrite logical plan.

Original logical plan is

== Analyzed Logical Plan ==
OverwriteByExpression RelationV2[name#141, age#142, job#143] spark_catalog.aorakili.person spark_catalog.aorakili.person, (age#142 > 22), false
+- Project [cast(col1#144 as string) AS name#147, cast(col2#145 as int) AS age#148, cast(col3#146 as string) AS job#149]
   +- LocalRelation [col1#144, col2#145, col3#146]

For Copy-On-Write mode, the logical plan is

== Optimized Logical Plan ==
ReplaceData RelationV2[name#13, age#14, job#15] spark_catalog.aorakili.person spark_catalog.aorakili.person, IcebergWrite(table=spark_catalog.aorakili.person, format=PARQUET)
+- Union false, false
   :- Project [name#13, age#14, job#15]
   :  +- Filter (dynamicpruningexpression(_file#24 IN (list#43 [])) AND NOT ((age#14 > 22) <=> true))
   :     :  +- Aggregate [_file#42], [_file#42]
   :     :     +- Project [_file#42]
   :     :        +- Filter (isnotnull(age#40) AND (age#40 > 22))
   :     :           +- RelationV2[age#40, _file#42] spark_catalog.aorakili.person
   :     +- RelationV2[name#13, age#14, job#15, _file#24] spark_catalog.aorakili.person
   +- Expand [[name#19, age#20, job#21]], [name#27, age#28, job#29]
      +- LocalRelation [name#19, age#20, job#21]

For Merge-On-Read mode, the logical plan is

== Optimized Logical Plan ==
WriteDelta RelationV2[name#54, age#55, job#56] spark_catalog.aorakili.person spark_catalog.aorakili.person, org.apache.iceberg.spark.source.SparkPositionDeltaWrite@77d5395a
+- RebalancePartitions [_spec_id#75, _partition#76, _file#73], 402653184
   +- Union false, false
      :- Expand [[1, null, null, null, _file#65, _pos#66L, _spec_id#63, _partition#64]], [__row_operation#69, name#70, age#71, job#72, _file#73, _pos#74L, _spec_id#75, _partition#76]
      :  +- Project [_file#65, _pos#66L, _spec_id#63, _partition#64]
      :     +- Filter (isnotnull(age#55) AND (age#55 > 22))
      :        +- RelationV2[age#55, _file#65, _pos#66L, _spec_id#63, _partition#64] spark_catalog.aorakili.person
      +- Expand [[3, name#60, age#61, job#62, null, null, null, null]], [__row_operation#78, name#79, age#80, job#81, _file#82, _pos#83L, _spec_id#84, _partition#85]
         +- LocalRelation [name#60, age#61, job#62]