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Implementing a PK-based dedup to support WAL in hybrid search. Basically, the existing code just calls a vector query + FTS query and dedups locally using the row ID. Since row ID is unsupported in WAL (currently), we update the algorithm to use the tables PK (which is required in WAL, and uniquely linked to a PK on updates). To enable PK-dedup branch, we've chosen to fallback on error rather than fire an exploratory query. Specifically, we issue the regular hybrid query, using row IDs, and when that fails with "WAL does not support row IDs" we fallback to the PK-based variant, and then cache the fallback for future calls from the same client. The alternative is that we chec if WAL is enabled before issuing the query. This would require a `get_lsm_write_spec` call, slowing down all the existing non-WAL paths unnecessarily. The ultimate goal is to get row ID supported in WAL, but that is pending stable row ID GA and subsequent integration into the enterprise stack. Once that lands, we will rip out the PK-based dedup that is only for WAL-enabled tables and use the existing row ID code. This is the main reason for building this adaptively. I had spec-ed out a refactor so that rather than duplicating code between python and rust we build this in rust and have python call that through PyO3. However, that made the reverse path (ie. ) more difficult. So I think the tradeoff of maintaining duplicate code in the short term for the ease of reverting this in the medium term (hopefully 2-3 months). --------- Co-authored-by: Claude Opus 5 <noreply@anthropic.com>