Oracle AI Vector Search Dictionary Statistics

A set of dictionary statistics related to Oracle AI Vector Search.

• Vector simd dist single calls: The number of vector distance function calls invoked by the user, where both the inputs are a single vector.

• Vector simd dist point calls: The number of vector distance function calls invoked by the user, where one input is a single vector, and the other input is an array of vectors.

• Vector simd dist array calls: The number of vector distance function calls invoked by the user, where both the inputs are an array of vectors.

• Vector simd dist flex calls: The number of vector distance function calls invoked by the user, where at least one input is with FLEX vector data type (no dimension or storage data type specified).

• Vector simd dist total rows: The number of rows processed by the vector distance function.

• Vector simd dist flex rows: The number of rows processed by the vector distance function with FLEX vector data type.

• Vector simd topK single calls: The number of topK distance function calls invoked by the user, where both the inputs are a single vector.

• Vector simd topK point calls: The number of topK distance function calls invoked by the user, where one input is a single vector and the other input is an array of vectors.

• Vector simd topK array calls: The number of topK distance function calls invoked by the user, where both the inputs are an array of vectors.

• Vector simd topK flex calls: The number of topK distance function calls invoked by the user, where at least one input is with FLEX vector data type (no dimension or storage data type specified).

• Vector simd topK total rows: The number of rows processed by the topK distance function.

• Vector simd topK flex rows: The number of rows processed by the topK distance function with FLEX vector data type.

• Vector simd topK selected total rows: The number of distance results returned by the topK vector distance function.

Note: This is typically sum(K) for all topK queries.

• Vector simd construction num of total calls: The number of vector construction function calls invoked by the user.

• Vector simd construction total result rows: The number of vector rows returned by the vector construction function.

• Vector simd construction num of ASCII calls: The number of vector construction function calls invoked by the user, where the input encoding is ASCII.

• Vector simd construction num of flex calls: The number of vector construction function calls invoked by the user, where the output vector is of FLEX vector data type.

• Vector simd construction result rows for flex: The number of vector rows returned by the vector construction function, where the output vector is of FLEX vector data type.

• Vector simd vector conversion num of total calls: The number of vector conversion function calls invoked by the user.

• VECTOR NEIGHBOR GRAPH HNSW build HT Element Allocated: The number of hash table elements allocated for vector indexes having organization Inmemory Neighbor Graph and type HNSW that were created by a user.

• VECTOR NEIGHBOR GRAPH HNSW build HT Element Freed: The number of hash table elements freed for vector indexes having organization Inmemory Neighbor Graph and type HNSW that were created by a user.

• VECTOR NEIGHBOR GRAPH HNSW reload attempted: The number of reload operations attempted in the background for vector indexes having organization Inmemory Neighbor Graph and type HNSW.

• VECTOR NEIGHBOR GRAPH HNSW reload successful: The number of reload operations completed in the background for vector indexes having organization Inmemory Neighbor Graph and type HNSW.

• VECTOR NEIGHBOR GRAPH HNSW build computed layers: The total number of layers created in an HNSW index.

• VECTOR NEIGHBOR GRAPH HNSW build indexed vectors: The total number of vector indexes in the HNSW index.

• VECTOR NEIGHBOR GRAPH HNSW build computed distances: The total number of distance computations executed during the HNSW index build phase.

• VECTOR NEIGHBOR GRAPH HNSW build sparse layers computed distances: The total number of distance computations executed during the HNSW index build phase, in all the layers, except the bottom one.

• VECTOR NEIGHBOR GRAPH HNSW build dense layer computed distances: The total number of distance computations executed during the HNSW index phase in the bottom layer.

• VECTOR NEIGHBOR GRAPH HNSW build prune operation computed distances: The total number of distance computations that were executed during the pruning operations required to find the closest neighbors for a vector in the HNSW index build phase.

• VECTOR NEIGHBOR GRAPH HNSW build pruned neighbor lists: The total number of neighbors pruned during the HNSW index build phase.

• VECTOR NEIGHBOR GRAPH HNSW build pruned neighbors: The total number of neighbors pruned during the HNSW index build phase.

• VECTOR NEIGHBOR GRAPH HNSW build created edges: The total number of edges created in an HNSW index.

• VECTOR NEIGHBOR GRAPH HNSW search executed approximate: The total number of query searches executed using approximate search in an HNSW index.

• VECTOR NEIGHBOR GRAPH HNSW search executed exhaustive: The total number of query searches executed using exact search in an HNSW index.

• VECTOR NEIGHBOR GRAPH HNSW search computed distances dense layer: The total number of distance computations executed in the bottom layer of an HNSW index during query searches.

• VECTOR NEIGHBOR GRAPH HNSW search computed distances sparse layer: The total number of distance computations executed in all the layers except the bottom layer of an HNSW index during query searches.

• VECTOR NEIGHBOR PARTITIONS IVF build HT Element Allocated: The number of hash table elements allocated for vector indexes having organization Neighbor Partitions and type IVF that were created by a user.

• VECTOR NEIGHBOR PARTITIONS IVF build HT Element Freed: The number of hash table elements freed for vector indexes having organization Neighbor Partitions and type IVF that were created by a user.

• VECTOR NEIGHBOR PARTITIONS IVF background Population Started: The number of in-memory centroids background population operations started for vector indexes having organization Neighbor Partitions and type IVF.

• VECTOR NEIGHBOR PARTITIONS IVF background Population Succeeded: The number of in-memory centroids background population operations completed for vector indexes having organization Neighbor Partitions and type IVF.

• VECTOR NEIGHBOR PARTITIONS IVF background Cleanup Started: The number of in-memory centroids background cleanup operations started for vector indexes having organization Neighbor Partitions and type IVF.

• VECTOR NEIGHBOR PARTITIONS IVF XIC Population Started: The number of in-memory centroids cross-instance population operations started for vector indexes having organization Neighbor Partitions and type IVF.

• VECTOR NEIGHBOR PARTITIONS IVF XIC Population Succeeded: The number of in-memory centroids cross-instance population operations completed for vector indexes having organization Neighbor Partitions and type IVF.

• VECTOR NEIGHBOR PARTITIONS IVF XIC Cleanup Started: The number of in-memory centroids cross-instance cleanup operations started for vector indexes having organization Neighbor Partitions and type IVF.

• VECTOR NEIGHBOR PARTITIONS IVF XIC Cleanup Succeeded: The number of in-memory centroids cross-instance cleanup operations completed for vector indexes having organization Neighbor Partitions and type IVF.

• VECTOR NEIGHBOR PARTITIONS IVF im centroids in scan: The number of times that in-memory centroids are used in scan for vector indexes having organization Neighbor Partitions and type IVF.

• VECTOR NEIGHBOR PARTITIONS IVF im centroids in dmls: The number of times that in-memory centroids are used in the DML that happens on the base table with vector indexes having organization Neighbor Partitions and type IVF.