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 typicallysum(K)
for alltopK
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 typeHNSW
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 typeHNSW
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 typeHNSW
. - VECTOR NEIGHBOR GRAPH HNSW reload successful: The number of reload
operations completed in the background for vector indexes having
organization
Inmemory Neighbor Graph
and typeHNSW
. - 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 typeIVF
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 typeIVF
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 typeIVF
. - 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 typeIVF
. - 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 typeIVF
. - 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 typeIVF
. - 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 typeIVF
. - 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 typeIVF
. - 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 typeIVF
. - 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 typeIVF
. - 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 typeIVF
.
Parent topic: Oracle AI Vector Search Statistics