yaooqinn opened a new pull request, #54061:
URL: https://github.com/apache/spark/pull/54061

   ### What changes were proposed in this pull request?
   
   All DataSketches-related expression functions should have their own 
`sketch_funcs` group instead of being grouped under `misc_funcs`.
   
   Move all sketch-related expression functions from `misc_funcs` to 
`sketch_funcs`:
   - **HLL sketch functions**: `hll_sketch_estimate`, `hll_union`
   - **Theta sketch functions**: `theta_sketch_estimate`, `theta_union`, 
`theta_difference`, `theta_intersection`
   - **KLL sketch functions**: `kll_sketch_to_string_*`, `kll_sketch_get_n_*`, 
`kll_sketch_get_rank_*`, `kll_sketch_get_quantile_*`, `kll_sketch_get_pmf_*`, 
`kll_sketch_get_cdf_*`, `kll_sketch_merge_*`
   - **Tuple sketch functions**: `tuple_sketch_*` expression functions
   - **ApproxTopK**: `approx_top_k_estimate`
   
   Add `sketch_funcs` to the groups set in `gen-sql-functions-docs.py`.
   
   Note: Aggregate functions (like `hll_sketch_agg`, `theta_sketch_agg`, 
`kll_sketch_agg_*`, etc.) remain in `agg_funcs`.
   
   ### Why are the changes needed?
   
   This PR moves **34 DataSketches-related expression functions** from 
`misc_funcs` to a dedicated `sketch_funcs` group. These 34 functions represent 
over 60% of all `misc_funcs`, making `misc_funcs` a catch-all bucket that 
reduces documentation clarity. By creating `sketch_funcs`, we achieve 
consistency with other specialized function groups (`avro_funcs`, `json_funcs`, 
`csv_funcs`, `xml_funcs`, etc.) and make it easier for users to discover and 
understand DataSketches functionality in Spark SQL.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No functional changes. The only difference is in how functions are grouped 
in documentation.
   
   ### How was this patch tested?
   
   Existing tests.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   Yes, GitHub Copilot was used to assist with this change.


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