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Indexing ids in binary form should help with indexing speed since we would have to compare fewer bytes upon sorting, should help with memory usage of the live version map since keys will be shorter, and might help with disk usage depending on how efficient the terms dictionary is at compressing terms. Since we can only expect base64 ids in the auto-generated case, this PR tries to use an encoding that makes the binary id equal to the base64-decoded id in the majority of cases (253 out of 256). It also specializes numeric ids, since this seems to be common when content that is stored in Elasticsearch comes from another database that uses eg. auto-increment ids. Another option could be to require base64 ids all the time. It would make things simpler but I'm not sure users would welcome this requirement. This PR should bring some benefits, but I expect it to be mostly useful when coupled with something like #24615. Closes #18154 |
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