[SPARK-56629][PYTHON][TESTS] Add ASV microbenchmark for SQL_COGROUPED_MAP_PANDAS_UDF

[Yicong-Huang]

What changes were proposed in this pull request?

Add ASV microbenchmarks CogroupedMapPandasUDFTimeBench / CogroupedMapPandasUDFPeakmemBench for SQL_COGROUPED_MAP_PANDAS_UDF in python/benchmarks/bench_eval_type.py, mirroring the existing cogrouped-arrow benchmarks. Covers 6 scenarios x 4 UDFs (including the 3-arg (key, left, right) variant).

Why are the changes needed?

Baseline for SPARK-55724 so the upcoming CogroupPandasUDFSerializer -> ArrowStreamSerializer refactor can detect regressions.

Does this PR introduce any user-facing change?

No.

How was this patch tested?

ASV run with -a repeat=5:

$ COLUMNS=120 asv run --bench CogroupedMapPandasUDFTimeBench --python=same -a repeat=5
================ ============== ============ =============== ==================
-- udf
---------------- --------------------------------------------------------------
scenario identity_udf concat_udf left_semi_udf key_identity_udf
================ ============== ============ =============== ==================
few_groups_sm 162+-0.8ms 182+-0.7ms 185+-0.6ms 162+-2ms
few_groups_lg 420+-3ms 540+-10ms 512+-6ms 421+-7ms
many_groups_sm 1.37+-0s 1.49+-0s 1.52+-0.01s 1.38+-0s
many_groups_lg 775+-4ms 918+-7ms 902+-5ms 781+-7ms
wide_values 1.09+-0s 1.28+-0.01s 1.14+-0.01s 1.09+-0.01s
multi_key 434+-6ms 489+-7ms 464+-9ms 431+-2ms
================ ============== ============ =============== ==================

$ COLUMNS=120 asv run --bench CogroupedMapPandasUDFPeakmemBench --python=same
================ ============== ============ =============== ==================
-- udf
---------------- --------------------------------------------------------------
scenario identity_udf concat_udf left_semi_udf key_identity_udf
================ ============== ============ =============== ==================
few_groups_sm 470M 472M 471M 470M
few_groups_lg 508M 521M 509M 508M
many_groups_sm 478M 480M 478M 478M
many_groups_lg 499M 505M 498M 499M
wide_values 501M 506M 501M 501M
multi_key 479M 481M 480M 479M
================ ============== ============ =============== ==================

Was this patch authored or co-authored using generative AI tooling?

No.

[HyukjinKwon]

Merged to master.