Add vectorizer_status for embedding coverage and backlog - #73
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The chunking code in C has always sized chunks with a four-characters-per-token estimate that rounds up, whilst the three plpgsql paths that actually write the token_count column open-coded the same estimate as length(chunk_text) / 4, which truncates. The two therefore disagreed by a token on most chunks, and on anything shorter than four characters the plpgsql paths stored a zero that the BM25 scoring path in worker.c then had to clamp back up to one. Since token_count feeds the BM25 document-length normalisation, by way of AVG(token_count) in bm25.c and the per-chunk value in worker.c, hybrid search scored chunks written by the trigger slightly differently from chunks written by the C chunker. Expose the existing C counter as pgedge_vectorizer.count_tokens(text) and call it from enable_vectorization(), vectorization_trigger() and recreate_chunks(), so that there is one definition of the rule rather than two. It is declared STABLE rather than IMMUTABLE deliberately: the estimate is defined in terms of pgedge_vectorizer.model, which does not matter whilst the counter ignores the model, but would quietly invalidate an expression index or a cached plan the moment it stops doing so. Existing chunk tables are left alone. The stored values are an approximation either way, and rewriting every chunk table to correct a single token is not a trade worth making on upgrade. This is the first change for 1.2, so the extension version moves on and sql/pgedge_vectorizer--1.1--1.2.sql carries the upgrade; the 1.1 scripts are untouched.
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Embeddings are derived data generated asynchronously, so a search is always running against a picture of the source that is some way out of date, and until now there was no way to find out how far. Add a vectorizer_status view giving, per registered vectorizer, how much of the source is embedded and how much work is still queued, so that a user can judge whether a result set reflects recent changes and an operator can see a worker that has stalled or a provider that is rejecting requests. Coverage is reported two ways because they answer different questions. source_coverage, the fraction of source rows with at least one embedded chunk, is the closer match to whether a search over the table can be trusted, whilst chunk_coverage, the fraction of individual chunks embedded, is the better measure of how much work remains. A large document part-way through being embedded is covered on the first and only partly on the second. Alongside those are the pending, processing and failed queue counts for the vectorizer, the age of the oldest pending item and the timestamp of the most recent completion. Chunk tables are named in the registry rather than joined statically, so the counts are gathered with dynamic SQL in a function that the view wraps. The function takes an optional source table and column, so a single vectorizer can be inspected without paying for all of them; that matters because each row costs a scan of one chunk table and a count of one source table, which is a good deal more than the existing queue views cost. The docs say so plainly, and say that this is a diagnostic to run deliberately rather than something to poll. Two deliberate choices. The function runs as the caller and reports NULL counts for a chunk or source table that has been dropped or that the caller cannot read, rather than failing the whole result set, because one inaccessible vectorizer should not make the view useless for the rest. And a source_coverage above 1 is left visible rather than clamped, since it means the chunk table holds rows for source rows that have gone, which is a real problem worth seeing. Closes #25
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Included review availability: 0 reviews are currently available. Your included PR review attempts over the past 7 days set your current allowance at 5 reviews per hour. 📝 WalkthroughWalkthroughThe extension version increases to 1.2. Shared C-backed token counting is added and applied across chunking and rebuild paths. Vectorization setup, triggers, cleanup, queue handling, and BM25 statistics are updated. The Fixed issue severity: Medium Priority: ➖ Normal Severity of issue fixed: Medium Merge Risk: ⚪ Minimal · up to This change adds vectorizer embedding-coverage and queue-status reporting. No current merge-blocking risk is identified. 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (2 warnings)
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Full details: Out of Scope Changes checkExplanation The PR includes token-count consistency changes, the count_tokens function, and related version 1.2 migration content from stacked work associated with Full details: Docstring CoverageExplanation Docstring coverage is 50.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 2 functions across 2 files. (3 skipped: 3 unsupported.)
✨ Finishing Touches🧪 Generate unit tests (beta)
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In `@sql/pgedge_vectorizer--1.2.sql`:
- Line 1096: Update the chunk-table lookup in vectorizer_status() to pass
quote_ident(v.chunk_table) to to_regclass(), preserving the generated
schema-qualified name as a single identifier. Apply the same change in both SQL
scripts.
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Makefiledocs/api_reference.mddocs/changelog.mddocs/monitoring.mdpgedge_vectorizer.controlsql/pgedge_vectorizer--1.1--1.2.sqlsql/pgedge_vectorizer--1.2.sqlsrc/pgedge_vectorizer.hsrc/tokenizer.ctest/sql/count_tokens.sqltest/sql/vectorizer_status.sql
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enable_vectorization() builds the chunk table's name as source_table || column || '_chunks' and creates it with %I, so for a schema-qualified source table the dot ends up inside a single identifier rather than separating a schema from a relation. Passing that text to to_regclass() as it stands makes it look for a relation in a schema of that name, finds nothing, and leaves every chunk-derived column NULL whilst the queue columns carry on working, which reads as a table with no chunks rather than as a lookup that failed. quote_ident() keeps the name in one piece, matching what quote_identifier() already does for the same value in bm25.c. The source table's name is left alone, since that comes from regclass output and is a genuine qualified reference. Raised by CodeRabbit on #73.
This was referenced Sep 9, 2026
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Summary
Embeddings are generated asynchronously, so a search always runs against a picture of the source that is some way out of date, and there was no way to find out how far.
pgedge_vectorizer.vectorizer_statusreports, per registered vectorizer, how much of the source is embedded and how much work is still queued.source_coverage(source rows with at least one embedded chunk) is the closer match to whether a search over the table can be trusted;chunk_coverage(individual chunks embedded) is the better measure of how much work remains. A large document part-way through embedding is covered on the first and only partly on the second.queue_pending,queue_processing,queue_failed,oldest_pending_ageandlast_processed_atfor the vectorizer.Two choices worth calling out. The function runs as the caller and reports NULL counts for a chunk or source table that has been dropped or that the caller cannot read, rather than failing the whole result set. And a
source_coverageabove 1 is left visible rather than clamped, because it means the chunk table holds rows for source rows that have gone, which is a real problem worth seeing.Each row costs a scan of one chunk table and a count of one source table, which is considerably more than the existing queue views cost.
docs/monitoring.mdsays so plainly and frames it as a diagnostic to run deliberately rather than something to poll.Test plan
vectorizer_statusregression test walks coverage from none through partial to complete, checks failed items are counted apart from the pending backlog, checks narrowing by table and by column, and checks the two degraded cases (coverage above 1 after orphaning, NULL counts after the chunk table is dropped).CREATE EXTENSION ... VERSION '1.1', enable a vectorizer,ALTER EXTENSION ... UPDATE TO '1.2', then query the view against a chunk table created under 1.1.Note on the base branch
This is stacked on #72, which creates the 1.2 scripts this change also lands in, so the branch is cut from
token-count-consistencyand the diff below carries that commit too. It targetsmainrather than the stack parent only because CI is configured to run onmain,masteranddevelopalone, so a PR aimed at the parent gets no checks at all. Once #72 merges, the diff here reduces to just this feature. Review the second commit; the first is #72.Closes #25