JackieTien97 opened a new pull request, #17035:
URL: https://github.com/apache/iotdb/pull/17035

   This pull request introduces a new streaming DataFrame interface to the 
IoTDB Python client, enabling users to efficiently fetch large query results in 
manageable chunks. The main changes add support for iterating over result sets 
by DataFrame, buffering data internally, and updating example scripts to 
demonstrate the new API.
   
   **Streaming DataFrame API:**
   
   * Added `has_next_df()` and `next_df()` methods to `SessionDataSet` to allow 
users to check for and retrieve the next chunk of results as a DataFrame.
   * Implemented internal buffering in `IoTDBRpcDataSet` with `__df_buffer`, 
and provided methods `_has_buffered_data()` and `next_dataframe()` to manage 
and return DataFrames of size `fetch_size`. 
[[1]](diffhunk://#diff-1388017f38621e1eb39eee517df57e5202875a02dc8174884263c64aa5899011R124-R129)
 
[[2]](diffhunk://#diff-1388017f38621e1eb39eee517df57e5202875a02dc8174884263c64aa5899011R249-R309)
   * Refactored result set processing logic into `_process_buffer()` and 
`_build_dataframe()` to support both streaming and batch DataFrame construction.
   
   **Example and usability improvements:**
   
   * Updated `session_example.py` and `table_model_session_example.py` to 
demonstrate usage of the new streaming DataFrame API. 
[[1]](diffhunk://#diff-b1df91bd424fd737f689b9545fc925448a85ced4e997d250130851517b1271aaR414-R419)
 
[[2]](diffhunk://#diff-c011342abb6a27b2fe7fe1cce58befa08bc4c19b93da479dfe7a22273f9f2c59R161-R164)
   * Added missing type import for `Optional` to support new method signatures.


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