feat: add native oss support for lance

[Xuanwo]

Fix #4205

[BubbleCal]

have you tried this on aliyun OSS?

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 11.11111% with 64 lines in your changes missing coverage. Please review.

Project coverage is 80.20%. Comparing base (146176e) to head (f26c46e).
Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
rust/lance-io/src/object_store/providers/oss.rs	9.85%	64 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #4247      +/-   ##
==========================================
- Coverage   80.24%   80.20%   -0.05%     
==========================================
  Files         297      298       +1     
  Lines      105211   105283      +72     
  Branches   105211   105283      +72     
==========================================
+ Hits        84429    84440      +11     
- Misses      17706    17769      +63     
+ Partials     3076     3074       -2     

Flag	Coverage Δ
unittests	80.20% <11.11%> (-0.05%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[Xuanwo]

have you tried this on aliyun OSS?

Yep, tested with an oss example:

Using dataset URI: oss://opendal-testing/test/dataset
Created test data with 5 rows

Writing data to OSS...
Data written successfully!

Reading data from OSS...
Dataset opened successfully!
Schema: Schema { fields: [Field { name: "id", id: 0, parent_id: -1, logical_type: LogicalType("int32"), metadata: {}, encoding: Some(Plain), nullable: false, children: [], dictionary: None, storage_class: Default, unenforced_primary_key: false }, Field { name: "name", id: 1, parent_id: -1, logical_type: LogicalType("string"), metadata: {}, encoding: Some(VarBinary), nullable: false, children: [], dictionary: None, storage_class: Default, unenforced_primary_key: false }, Field { name: "score", id: 2, parent_id: -1, logical_type: LogicalType("float"), metadata: {}, encoding: Some(Plain), nullable: false, children: [], dictionary: None, storage_class: Default, unenforced_primary_key: false }], metadata: {} }
Current version: 1
Number of rows: 5

Scanning data:
Batch 0: 5 rows
Sample data:
  Row 0: id=1, name=Alice, score=85.5
  Row 1: id=2, name=Bob, score=92.3
  Row 2: id=3, name=Charlie, score=78.9
  Row 3: id=4, name=David, score=88.1
  Row 4: id=5, name=Eve, score=95.7

Example completed successfully!

[AshDyh1999]

have you tried this on aliyun OSS?

Yep, tested with an oss example:

Using dataset URI: oss://opendal-testing/test/dataset
Created test data with 5 rows

Writing data to OSS...
Data written successfully!

Reading data from OSS...
Dataset opened successfully!
Schema: Schema { fields: [Field { name: "id", id: 0, parent_id: -1, logical_type: LogicalType("int32"), metadata: {}, encoding: Some(Plain), nullable: false, children: [], dictionary: None, storage_class: Default, unenforced_primary_key: false }, Field { name: "name", id: 1, parent_id: -1, logical_type: LogicalType("string"), metadata: {}, encoding: Some(VarBinary), nullable: false, children: [], dictionary: None, storage_class: Default, unenforced_primary_key: false }, Field { name: "score", id: 2, parent_id: -1, logical_type: LogicalType("float"), metadata: {}, encoding: Some(Plain), nullable: false, children: [], dictionary: None, storage_class: Default, unenforced_primary_key: false }], metadata: {} }
Current version: 1
Number of rows: 5

Scanning data:
Batch 0: 5 rows
Sample data:
  Row 0: id=1, name=Alice, score=85.5
  Row 1: id=2, name=Bob, score=92.3
  Row 2: id=3, name=Charlie, score=78.9
  Row 3: id=4, name=David, score=88.1
  Row 4: id=5, name=Eve, score=95.7

Example completed successfully!

Hi @Xuanwo , thanks for adding this feature!
Could you please provide an example or documentation on how to use this new feature?
I'd love to try it out but I'm not sure about the correct usage.
Thanks in advance!