An Azure managed PostgreSQL database service for app development and deployment.
The described TOAST corruption during inserts with pg_diskann Product Quantization (PQ) enabled is not covered in the provided documentation, and no specific fix or known issue is documented in the context.
The available guidance for pg_diskann with PQ is limited to:
- PQ must be enabled explicitly on the index:
CREATE INDEX demo_embedding_diskann_idx ON demo USING diskann(embedding vector_cosine_ops) WITH( product_quantized=true ); - PQ is supported starting from pg_diskann v0.6 and above.
- For high-dimensional embeddings (up to 16,000 dimensions), PQ must be turned on and recommended settings are:
-
product_quantized = true -
pq_param_num_chunks = embedding_dimension / 3 -
pq_param_training_samplesis auto-determined unless explicitly set.
-
- To improve accuracy with PQ, use a two-step query with approximate search followed by full-vector reranking.
- For certain DiskANN index metadata/version errors, the documented recovery is to run
REINDEX/REINDEX CONCURRENTLYor rebuild/upgrade the index, but there is no mention of TOAST corruption or a related bug.
Given the context, only the following supported actions can be recommended:
- Ensure pg_diskann version
- Confirm that pg_diskann is v0.6 or higher, as PQ support is only documented from v0.6 onward.
- Rebuild or reindex when index metadata issues occur
- For index metadata or version issues, the documented recovery pattern is:
REINDEX INDEX your_index_name; -- or REINDEX CONCURRENTLY -- or DROP INDEX your_index_name; CREATE INDEX your_index_name ON your_table USING diskann(your_vector_column vector_cosine_ops); - And, when prompted by a version-upgrade message, using
upgrade_diskann_index()to upgrade all DiskANN indexes. - Although this pattern is documented for specific DiskANN errors (not TOAST corruption), it is the only supported remediation pattern in the context for index-related issues.
- For index metadata or version issues, the documented recovery pattern is:
- Use PQ with recommended parameters for large/high-dimensional workloads
- When PQ is enabled, follow the documented recommendations for
pq_param_num_chunksand allowpq_param_training_samplesto be auto-determined unless there is a specific need to override it.
- When PQ is enabled, follow the documented recommendations for
Because the context does not document TOAST corruption, a bug, or a configuration workaround for this specific behavior, no further product-specific remediation steps can be provided from the supplied material.
References: