feat: support with_row_id options for spark connector

[SaintBacchus]

1. Java only has long type for 86 bit interge. And Spark arrow reader can't read the _rowid column for uint64 type.
2. So wrap the array batch stream converting the uint64 into int64 and change the schema of _rowid from uint64 into int64

[github-actions]

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[codecov-commenter]

Codecov Report

Attention: Patch coverage is 0% with 67 lines in your changes missing coverage. Please review.

Project coverage is 78.63%. Comparing base (ceaf49c) to head (620314b).
Report is 50 commits behind head on main.

Files with missing lines	Patch %	Lines
rust/lance-io/src/ffi.rs	0.00%	55 Missing ⚠️
java/core/lance-jni/src/blocking_scanner.rs	0.00%	12 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #3084      +/-   ##
==========================================
+ Coverage   77.31%   78.63%   +1.31%     
==========================================
  Files         240      243       +3     
  Lines       79322    82873    +3551     
  Branches    79322    82873    +3551     
==========================================
+ Hits        61326    65165    +3839     
- Misses      14821    14921     +100     
+ Partials     3175     2787     -388     

Flag	Coverage Δ
unittests	78.63% <0.00%> (+1.31%)	⬆️

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[LuQQiu]

Trying to understand why making this change
Arrow in Java also have DataType:UInt64 but Spark cannot convert UInt64 to SparkType?

Could we modify the Spark Type to Arrow Type conversion directly? Like having an extension??

[SaintBacchus]

@LuQQiu I plan to convert the type like this.

[LuQQiu]

@SaintBacchus Can we support generic type conversion?
like convert all UInt64 in rust to BigInt/Long for java? no special handling for with_row_id, but more generic how should we process UInt64 in java/spark stack