Our investigation showed ProfileMap's key is the bottleneck of the memory consumption for CS profile generation on some large services. This patch tries to optimize it by storing the CS function samples using the context trie tree structure instead of the context frame array ref. Parts of code in ContextTrieNode are reused.
Our experiment on one internal service showed that the context key's memory can be reduced from 80GB to 300MB.
To be compatible with non-CS profiles, the profile writer still needs to use ProfileMap as input, so rebuild the ProfileMap using the context trie in postProcessProfiles.
The optimization is not complete yet, next step is to reimplement Pre-inliner or profile trimmer, after that, ProfileMap should be small to be written.