Add microbenchmark test for unified query APIs

[dai-chen]

Description

TODO: polish code and tweak test config

Benchmark                                                                                                                         (pplQuery)  Mode  Cnt     Score      Error  Units
UnifiedQueryBenchmark.compilePplQuery                                                                             source = catalog.employees  avgt    5   401.122 ±  160.908  us/op
UnifiedQueryBenchmark.compilePplQuery                                                            source = catalog.employees | where age > 30  avgt    5  1186.665 ± 1189.835  us/op
UnifiedQueryBenchmark.compilePplQuery                                               source = catalog.employees | stats count() by department  avgt    5  1567.900 ± 1078.126  us/op
UnifiedQueryBenchmark.compilePplQuery                                                                source = catalog.employees | sort - age  avgt    5   615.520 ±  377.289  us/op
UnifiedQueryBenchmark.compilePplQuery         source = catalog.employees | where age > 25 | stats avg(age) by department | sort - department  avgt    5  2844.914 ± 2166.376  us/op
UnifiedQueryBenchmark.planPplQuery                                                                                source = catalog.employees  avgt    5   128.333 ±    9.292  us/op
UnifiedQueryBenchmark.planPplQuery                                                               source = catalog.employees | where age > 30  avgt    5   136.438 ±   13.923  us/op
UnifiedQueryBenchmark.planPplQuery                                                  source = catalog.employees | stats count() by department  avgt    5   209.177 ±   37.126  us/op
UnifiedQueryBenchmark.planPplQuery                                                                   source = catalog.employees | sort - age  avgt    5   147.229 ±    8.010  us/op
UnifiedQueryBenchmark.planPplQuery            source = catalog.employees | where age > 25 | stats avg(age) by department | sort - department  avgt    5   154.169 ±   30.209  us/op
UnifiedQueryBenchmark.transpilePplToSparkSql                                                                      source = catalog.employees  avgt    5   148.810 ±    7.693  us/op
UnifiedQueryBenchmark.transpilePplToSparkSql                                                     source = catalog.employees | where age > 30  avgt    5   142.847 ±   17.297  us/op
UnifiedQueryBenchmark.transpilePplToSparkSql                                        source = catalog.employees | stats count() by department  avgt    5   242.569 ±   18.690  us/op
UnifiedQueryBenchmark.transpilePplToSparkSql                                                         source = catalog.employees | sort - age  avgt    5   137.034 ±   16.282  us/op
UnifiedQueryBenchmark.transpilePplToSparkSql  source = catalog.employees | where age > 25 | stats avg(age) by department | sort - department  avgt    5   174.964 ±   17.989  us/op

Related Issues

Resolves partially #4782

Check List

• New functionality includes testing.
• New functionality has been documented.
• New functionality has javadoc added.
• New functionality has a user manual doc added.
• New PPL command checklist all confirmed.
• API changes companion pull request created.
• Commits are signed per the DCO using --signoff or -s.
• Public documentation issue/PR created.

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