Evaluate using Profile-Guided Optimization (PGO) and LLVM BOLT

Hi!

Recently I did many Profile-Guided Optimization (PGO) benchmarks on multiple projects (including many databases like PostgreSQL, ClickHouse, Redis, MongoDB, etc.) - the results are available [here](https://github.com/zamazan4ik/awesome-pgo). So that's why I think it's worth trying to apply PGO to OpenMLDB to improve the database performance further.

I can suggest the following things to do:

* Evaluate PGO's results on OpenMLDB.
* If PGO helps to achieve better performance - add a note to OpenMLDB's documentation about that (probably somewhere in the README file). In this case, users and maintainers will be aware of another optimization opportunity for OpenMLDB.
* Provide PGO integration into the build scripts. It can help users and maintainers easily apply PGO for their own workloads.
* Optimize prebuilt binaries with PGO.

Here are some examples of how PGO is already integrated into other projects' build scripts:

* Rustc: a CI [script](https://github.com/rust-lang/rust/blob/master/src/ci/stage-build.py) for the multi-stage build
* GCC:
- Official [docs](https://gcc.gnu.org/install/build.html), section "Building with profile feedback" (even AutoFDO build is supported)
- A [part](https://github.com/gcc-mirror/gcc/blob/4832767db7897be6fb5cbc44f079482c90cb95a6/configure#L7818) in a "wonderful" `configure` script
* Clang: [Docs](https://llvm.org/docs/HowToBuildWithPGO.html)
* Python:
- CPython: [README](https://github.com/python/cpython#profile-guided-optimization)
- Pyston: [README](https://github.com/pyston/pyston#building)
* Go: [Bash script](https://github.com/golang/go/blob/master/src/cmd/compile/profile.sh)
* V8: [Bazel flag](https://github.com/v8/v8/blob/main/BUILD.gn#L184)
* ChakraCore: [Scripts](https://github.com/chakra-core/ChakraCore/tree/master/Build/scripts/pgo)
* Chromium: [Script](https://chromium.googlesource.com/chromium/src/build/config/+/refs/heads/main/compiler/pgo/BUILD.gn)
* Firefox: [Docs](https://firefox-source-docs.mozilla.org/build/buildsystem/pgo.html)
- Thunderbird has PGO support too
* PHP - [Makefile command](https://github.com/php/php-src/blob/master/build/Makefile.global#L138) and old Centminmod [scripts](https://github.com/centminmod/php_pgo_training_scripts)
* MySQL: [CMake script](https://github.com/mysql/mysql-server/blob/8.0/cmake/fprofile.cmake)
* YugabyteDB: [GitHub commit](https://github.com/yugabyte/yugabyte-db/commit/34cb791ed9d3d5f8ae9a9b9e9181a46485e1981d)
* FoundationDB: [Script](https://github.com/apple/foundationdb/blob/1a6114a66f3de508c0cf0a45f72f3687ba05750c/contrib/generate_profile.sh)
* Zstd: [Makefile](https://github.com/facebook/zstd/blob/dev/programs/Makefile#L232)
* [Foot](https://codeberg.org/dnkl/foot): [Scripts](https://codeberg.org/dnkl/foot/src/branch/master/pgo)
* Windows Terminal: [GitHub PR](https://github.com/microsoft/terminal/pull/10071)
* Pydantic-core: [GitHub PR](https://github.com/pydantic/pydantic-core/pull/741)

After PGO, I can suggest evaluating [LLVM BOLT](https://github.com/llvm/llvm-project/blob/main/bolt/README.md) as an additional optimization step after PGO.