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guc-explai
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4
.github/workflows/build.yml
vendored
4
.github/workflows/build.yml
vendored
@@ -8,8 +8,8 @@ jobs:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
# - postgres: 18
|
||||
# os: ubuntu-24.04
|
||||
- postgres: 18
|
||||
os: ubuntu-24.04
|
||||
- postgres: 17
|
||||
os: ubuntu-24.04
|
||||
- postgres: 16
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
## 0.8.0 (unreleased)
|
||||
|
||||
- Added support for inline filtering with HNSW
|
||||
- Added support for iterative index scans
|
||||
- Added casts for arrays to `sparsevec`
|
||||
- Improved cost estimation
|
||||
|
||||
90
README.md
90
README.md
@@ -439,12 +439,6 @@ Create an index on one [or more](https://www.postgresql.org/docs/current/indexes
|
||||
CREATE INDEX ON items (category_id);
|
||||
```
|
||||
|
||||
Or a composite HNSW index for approximate search (added in 0.8.0)
|
||||
|
||||
```sql
|
||||
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops, category_id);
|
||||
```
|
||||
|
||||
Or a [partial index](https://www.postgresql.org/docs/current/indexes-partial.html) on the vector column for approximate search
|
||||
|
||||
```sql
|
||||
@@ -457,6 +451,89 @@ Use [partitioning](https://www.postgresql.org/docs/current/ddl-partitioning.html
|
||||
CREATE TABLE items (embedding vector(3), category_id int) PARTITION BY LIST(category_id);
|
||||
```
|
||||
|
||||
## Iterative Index Scans
|
||||
|
||||
*Unreleased*
|
||||
|
||||
With approximate indexes, queries with filtering can return less results (due to post-filtering). Starting with 0.8.0, you can enable iterative index scans. If too few results from the initial scan match the filters, the scan will resume until enough results are found (or it reaches `hnsw.max_scan_tuples` or `ivfflat.max_probes`). This can significantly improve recall.
|
||||
|
||||
There are two modes for iterative scans: strict and relaxed.
|
||||
|
||||
Strict ensures results are in the exact order by distance
|
||||
|
||||
```sql
|
||||
SET hnsw.iterative_scan = strict_order;
|
||||
```
|
||||
|
||||
Relaxed allows results to be slightly out of order by distance, but provides better recall
|
||||
|
||||
```sql
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||||
SET hnsw.iterative_scan = relaxed_order;
|
||||
# or
|
||||
SET ivfflat.iterative_scan = relaxed_order;
|
||||
```
|
||||
|
||||
With relaxed ordering, you can use a [materialized CTE](https://www.postgresql.org/docs/current/queries-with.html#QUERIES-WITH-CTE-MATERIALIZATION) to get strict ordering
|
||||
|
||||
```sql
|
||||
WITH relaxed_results AS MATERIALIZED (
|
||||
SELECT id, embedding <-> '[1,2,3]' AS distance FROM items WHERE category_id = 123 ORDER BY distance LIMIT 5
|
||||
) SELECT * FROM relaxed_results ORDER BY distance;
|
||||
```
|
||||
|
||||
For queries that filter by distance, use a materialized CTE and place the distance filter outside of it for best performance (due to the [current behavior](https://www.postgresql.org/message-id/flat/CAOdR5yGUoMQ6j7M5hNUXrySzaqZVGf_Ne%2B8fwZMRKTFxU1nbJg%40mail.gmail.com) of the Postgres executor)
|
||||
|
||||
```sql
|
||||
WITH nearest_results AS MATERIALIZED (
|
||||
SELECT id, embedding <-> '[1,2,3]' AS distance FROM items ORDER BY distance LIMIT 5
|
||||
) SELECT * FROM nearest_results WHERE distance < 5 ORDER BY distance;
|
||||
```
|
||||
|
||||
Note: Place any other filters inside the CTE
|
||||
|
||||
### Iterative Scan Options
|
||||
|
||||
Since scanning a large portion of an approximate index is expensive, there are options to control when a scan ends
|
||||
|
||||
#### HNSW
|
||||
|
||||
Specify the max number of tuples to visit (20,000 by default)
|
||||
|
||||
```sql
|
||||
SET hnsw.max_scan_tuples = 20000;
|
||||
```
|
||||
|
||||
Note: This is approximate and does not affect the initial scan
|
||||
|
||||
Specify the max amount of memory to use, as a multiple of `work_mem` (1 by default)
|
||||
|
||||
```sql
|
||||
SET hnsw.scan_mem_multiplier = 2;
|
||||
```
|
||||
|
||||
You can see when increasing this is needed by enabling debug messages
|
||||
|
||||
```sql
|
||||
SET client_min_messages = debug1;
|
||||
```
|
||||
|
||||
which will show when a scan reaches the memory limit
|
||||
|
||||
```text
|
||||
DEBUG: hnsw index scan reached memory limit after 20000 tuples
|
||||
HINT: Increase hnsw.scan_mem_multiplier to scan more tuples.
|
||||
```
|
||||
|
||||
#### IVFFlat
|
||||
|
||||
Specify the max number of probes
|
||||
|
||||
```sql
|
||||
SET ivfflat.max_probes = 100;
|
||||
```
|
||||
|
||||
Note: If this is lower than `ivfflat.probes`, `ivfflat.probes` will be used
|
||||
|
||||
## Half-Precision Vectors
|
||||
|
||||
*Added in 0.7.0*
|
||||
@@ -1195,7 +1272,6 @@ Thanks to:
|
||||
- [k-means++: The Advantage of Careful Seeding](https://theory.stanford.edu/~sergei/papers/kMeansPP-soda.pdf)
|
||||
- [Concept Decompositions for Large Sparse Text Data using Clustering](https://www.cs.utexas.edu/users/inderjit/public_papers/concept_mlj.pdf)
|
||||
- [Efficient and Robust Approximate Nearest Neighbor Search using Hierarchical Navigable Small World Graphs](https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf)
|
||||
- [HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints](https://arxiv.org/pdf/2207.07940.pdf)
|
||||
|
||||
## History
|
||||
|
||||
|
||||
@@ -24,11 +24,3 @@ CREATE CAST (double precision[] AS sparsevec)
|
||||
|
||||
CREATE CAST (numeric[] AS sparsevec)
|
||||
WITH FUNCTION array_to_sparsevec(numeric[], integer, boolean) AS ASSIGNMENT;
|
||||
|
||||
CREATE FUNCTION hnsw_attribute_distance(integer, integer) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'hnsw_int4_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE OPERATOR CLASS vector_integer_ops
|
||||
DEFAULT FOR TYPE integer USING hnsw AS
|
||||
OPERATOR 2 = (integer, integer),
|
||||
FUNCTION 4 hnsw_attribute_distance(integer, integer);
|
||||
|
||||
@@ -916,13 +916,3 @@ CREATE OPERATOR CLASS sparsevec_l1_ops
|
||||
OPERATOR 1 <+> (sparsevec, sparsevec) FOR ORDER BY float_ops,
|
||||
FUNCTION 1 l1_distance(sparsevec, sparsevec),
|
||||
FUNCTION 3 hnsw_sparsevec_support(internal);
|
||||
|
||||
-- hnsw attributes
|
||||
|
||||
CREATE FUNCTION hnsw_attribute_distance(integer, integer) RETURNS float8
|
||||
AS 'MODULE_PATHNAME', 'hnsw_int4_attribute_distance' LANGUAGE C IMMUTABLE STRICT PARALLEL SAFE;
|
||||
|
||||
CREATE OPERATOR CLASS vector_integer_ops
|
||||
DEFAULT FOR TYPE integer USING hnsw AS
|
||||
OPERATOR 2 = (integer, integer),
|
||||
FUNCTION 4 hnsw_attribute_distance(integer, integer);
|
||||
|
||||
56
src/hnsw.c
56
src/hnsw.c
@@ -18,16 +18,17 @@
|
||||
#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
|
||||
#endif
|
||||
|
||||
static const struct config_enum_entry hnsw_iterative_search_options[] = {
|
||||
{"off", HNSW_ITERATIVE_SEARCH_OFF, false},
|
||||
{"on", HNSW_ITERATIVE_SEARCH_RELAXED, false},
|
||||
{"strict", HNSW_ITERATIVE_SEARCH_STRICT, false},
|
||||
static const struct config_enum_entry hnsw_iterative_scan_options[] = {
|
||||
{"off", HNSW_ITERATIVE_SCAN_OFF, false},
|
||||
{"relaxed_order", HNSW_ITERATIVE_SCAN_RELAXED, false},
|
||||
{"strict_order", HNSW_ITERATIVE_SCAN_STRICT, false},
|
||||
{NULL, 0, false}
|
||||
};
|
||||
|
||||
int hnsw_ef_search;
|
||||
int hnsw_iterative_search_max_tuples;
|
||||
int hnsw_iterative_search;
|
||||
int hnsw_iterative_scan;
|
||||
int hnsw_max_scan_tuples;
|
||||
double hnsw_scan_mem_multiplier;
|
||||
int hnsw_lock_tranche_id;
|
||||
static relopt_kind hnsw_relopt_kind;
|
||||
|
||||
@@ -76,16 +77,21 @@ HnswInit(void)
|
||||
|
||||
DefineCustomIntVariable("hnsw.ef_search", "Sets the size of the dynamic candidate list for search",
|
||||
"Valid range is 1..1000.", &hnsw_ef_search,
|
||||
HNSW_DEFAULT_EF_SEARCH, HNSW_MIN_EF_SEARCH, HNSW_MAX_EF_SEARCH, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
HNSW_DEFAULT_EF_SEARCH, HNSW_MIN_EF_SEARCH, HNSW_MAX_EF_SEARCH, PGC_USERSET, GUC_EXPLAIN, NULL, NULL, NULL);
|
||||
|
||||
DefineCustomEnumVariable("hnsw.iterative_search", "Sets iterative search",
|
||||
NULL, &hnsw_iterative_search,
|
||||
HNSW_ITERATIVE_SEARCH_OFF, hnsw_iterative_search_options, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
DefineCustomEnumVariable("hnsw.iterative_scan", "Sets the mode for iterative scans",
|
||||
NULL, &hnsw_iterative_scan,
|
||||
HNSW_ITERATIVE_SCAN_OFF, hnsw_iterative_scan_options, PGC_USERSET, GUC_EXPLAIN, NULL, NULL, NULL);
|
||||
|
||||
/* TODO Ensure ivfflat.max_probes uses same value for "all" */
|
||||
DefineCustomIntVariable("hnsw.iterative_search_max_tuples", "Sets the max number of candidates to visit for iterative search",
|
||||
"-1 means all", &hnsw_iterative_search_max_tuples,
|
||||
-1, -1, INT_MAX, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
/* This is approximate and does not affect the initial scan */
|
||||
DefineCustomIntVariable("hnsw.max_scan_tuples", "Sets the max number of tuples to visit for iterative scans",
|
||||
NULL, &hnsw_max_scan_tuples,
|
||||
20000, 1, INT_MAX, PGC_USERSET, GUC_EXPLAIN, NULL, NULL, NULL);
|
||||
|
||||
/* Same range as hash_mem_multiplier */
|
||||
DefineCustomRealVariable("hnsw.scan_mem_multiplier", "Sets the multiple of work_mem to use for iterative scans",
|
||||
NULL, &hnsw_scan_mem_multiplier,
|
||||
1, 1, 1000, PGC_USERSET, GUC_EXPLAIN, NULL, NULL, NULL);
|
||||
|
||||
MarkGUCPrefixReserved("hnsw");
|
||||
}
|
||||
@@ -131,6 +137,10 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
*indexSelectivity = 0;
|
||||
*indexCorrelation = 0;
|
||||
*indexPages = 0;
|
||||
#if PG_VERSION_NUM >= 180000
|
||||
/* See "On disable_cost" thread on pgsql-hackers */
|
||||
path->path.disabled_nodes = 2;
|
||||
#endif
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -245,13 +255,13 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
IndexAmRoutine *amroutine = makeNode(IndexAmRoutine);
|
||||
|
||||
amroutine->amstrategies = 0;
|
||||
amroutine->amsupport = 4;
|
||||
amroutine->amsupport = 3;
|
||||
amroutine->amoptsprocnum = 0;
|
||||
amroutine->amcanorder = false;
|
||||
amroutine->amcanorderbyop = true;
|
||||
amroutine->amcanbackward = false; /* can change direction mid-scan */
|
||||
amroutine->amcanunique = false;
|
||||
amroutine->amcanmulticol = true;
|
||||
amroutine->amcanmulticol = false;
|
||||
amroutine->amoptionalkey = true;
|
||||
amroutine->amsearcharray = false;
|
||||
amroutine->amsearchnulls = false;
|
||||
@@ -303,17 +313,3 @@ hnswhandler(PG_FUNCTION_ARGS)
|
||||
|
||||
PG_RETURN_POINTER(amroutine);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the distance between two int4 attributes
|
||||
*/
|
||||
PGDLLEXPORT PG_FUNCTION_INFO_V1(hnsw_int4_attribute_distance);
|
||||
Datum
|
||||
hnsw_int4_attribute_distance(PG_FUNCTION_ARGS)
|
||||
{
|
||||
int32 a = PG_GETARG_INT32(0);
|
||||
int32 b = PG_GETARG_INT32(1);
|
||||
double distance = ((double) a) - ((double) b);
|
||||
|
||||
PG_RETURN_FLOAT8(distance);
|
||||
}
|
||||
|
||||
48
src/hnsw.h
48
src/hnsw.h
@@ -19,7 +19,6 @@
|
||||
#define HNSW_DISTANCE_PROC 1
|
||||
#define HNSW_NORM_PROC 2
|
||||
#define HNSW_TYPE_INFO_PROC 3
|
||||
#define HNSW_ATTRIBUTE_DISTANCE_PROC 4
|
||||
|
||||
#define HNSW_VERSION 1
|
||||
#define HNSW_MAGIC_NUMBER 0xA953A953
|
||||
@@ -108,20 +107,19 @@
|
||||
#define HnswPtrPointer(hp) (hp).ptr
|
||||
#define HnswPtrOffset(hp) relptr_offset((hp).relptr)
|
||||
|
||||
#define HnswUseIndexTuple(index) (IndexRelationGetNumberOfAttributes(index) > 1)
|
||||
|
||||
/* Variables */
|
||||
extern int hnsw_ef_search;
|
||||
extern int hnsw_iterative_search;
|
||||
extern int hnsw_iterative_search_max_tuples;
|
||||
extern int hnsw_iterative_scan;
|
||||
extern int hnsw_max_scan_tuples;
|
||||
extern double hnsw_scan_mem_multiplier;
|
||||
extern int hnsw_lock_tranche_id;
|
||||
|
||||
typedef enum HnswIterativeSearchType
|
||||
typedef enum HnswIterativeScanMode
|
||||
{
|
||||
HNSW_ITERATIVE_SEARCH_OFF,
|
||||
HNSW_ITERATIVE_SEARCH_RELAXED,
|
||||
HNSW_ITERATIVE_SEARCH_STRICT
|
||||
} HnswIterativeSearchType;
|
||||
HNSW_ITERATIVE_SCAN_OFF,
|
||||
HNSW_ITERATIVE_SCAN_RELAXED,
|
||||
HNSW_ITERATIVE_SCAN_STRICT
|
||||
} HnswIterativeScanMode;
|
||||
|
||||
typedef struct HnswElementData HnswElementData;
|
||||
typedef struct HnswNeighborArray HnswNeighborArray;
|
||||
@@ -136,7 +134,6 @@ HnswPtrDeclare(HnswElementData, HnswElementRelptr, HnswElementPtr);
|
||||
HnswPtrDeclare(HnswNeighborArray, HnswNeighborArrayRelptr, HnswNeighborArrayPtr);
|
||||
HnswPtrDeclare(HnswNeighborArrayPtr, HnswNeighborsRelptr, HnswNeighborsPtr);
|
||||
HnswPtrDeclare(char, DatumRelptr, DatumPtr);
|
||||
HnswPtrDeclare(IndexTupleData, IndexTupleRelptr, IndexTuplePtr);
|
||||
|
||||
struct HnswElementData
|
||||
{
|
||||
@@ -153,7 +150,6 @@ struct HnswElementData
|
||||
OffsetNumber neighborOffno;
|
||||
BlockNumber neighborPage;
|
||||
DatumPtr value;
|
||||
IndexTuplePtr itup;
|
||||
LWLock lock;
|
||||
};
|
||||
|
||||
@@ -179,7 +175,6 @@ typedef struct HnswSearchCandidate
|
||||
pairingheap_node w_node;
|
||||
HnswElementPtr element;
|
||||
double distance;
|
||||
bool matches;
|
||||
} HnswSearchCandidate;
|
||||
|
||||
/* HNSW index options */
|
||||
@@ -258,16 +253,14 @@ typedef struct HnswTypeInfo
|
||||
|
||||
typedef struct HnswSupport
|
||||
{
|
||||
FmgrInfo *procinfo[2];
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid *collation;
|
||||
Oid collation;
|
||||
} HnswSupport;
|
||||
|
||||
typedef struct HnswQuery
|
||||
{
|
||||
Datum value;
|
||||
IndexTuple itup;
|
||||
ScanKeyData *keyData;
|
||||
} HnswQuery;
|
||||
|
||||
typedef struct HnswBuildState
|
||||
@@ -296,8 +289,6 @@ typedef struct HnswBuildState
|
||||
HnswGraph *graph;
|
||||
double ml;
|
||||
int maxLevel;
|
||||
bool useIndexTuple;
|
||||
TupleDesc tupdesc;
|
||||
|
||||
/* Memory */
|
||||
MemoryContext graphCtx;
|
||||
@@ -382,6 +373,7 @@ typedef struct HnswScanOpaqueData
|
||||
int m;
|
||||
int64 tuples;
|
||||
double previousDistance;
|
||||
Size maxMemory;
|
||||
MemoryContext tmpCtx;
|
||||
|
||||
/* Support functions */
|
||||
@@ -425,32 +417,30 @@ bool HnswCheckNorm(HnswSupport * support, Datum value);
|
||||
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
|
||||
void HnswInitPage(Buffer buf, Page page);
|
||||
void HnswInit(void);
|
||||
List *HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, bool inMemory, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples);
|
||||
List *HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples);
|
||||
HnswElement HnswGetEntryPoint(Relation index);
|
||||
void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
|
||||
void *HnswAlloc(HnswAllocator * allocator, Size size);
|
||||
HnswElement HnswInitElement(char *base, ItemPointer tid, int m, double ml, int maxLevel, HnswAllocator * alloc);
|
||||
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
|
||||
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing, bool inMemory);
|
||||
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, HnswQuery * q, Relation rel, HnswSupport * support, bool loadVec, bool inMemory);
|
||||
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing);
|
||||
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, HnswQuery * q, Relation rel, HnswSupport * support, bool loadVec);
|
||||
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
|
||||
void HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m);
|
||||
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
|
||||
HnswNeighborArray *HnswInitNeighborArray(int lm, HnswAllocator * allocator);
|
||||
void HnswInitNeighbors(char *base, HnswElement element, int m, HnswAllocator * alloc);
|
||||
bool HnswInsertTupleOnDisk(Relation index, HnswSupport * support, IndexTuple itup, ItemPointer heaptid, bool building, TupleDesc tupdesc);
|
||||
bool HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building);
|
||||
void HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e, int m, bool checkExisting, bool building);
|
||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec, Relation index);
|
||||
void HnswLoadElement(HnswElement element, double *distance, bool *matches, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance);
|
||||
void HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element, bool useIndexTuple);
|
||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec);
|
||||
void HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance);
|
||||
bool HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support);
|
||||
void HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element);
|
||||
void HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newElement, float distance, int lm, int *updateIdx, Relation index, HnswSupport * support);
|
||||
bool HnswFormIndexTuple(IndexTuple *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support, TupleDesc tupdesc);
|
||||
bool HnswLoadNeighborTids(HnswElement element, ItemPointerData *indextids, Relation index, int m, int lm, int lc);
|
||||
void HnswInitLockTranche(void);
|
||||
const HnswTypeInfo *HnswGetTypeInfo(Relation index);
|
||||
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
|
||||
Size HnswGetElementTupleSize(char *base, HnswElement element, bool useIndexTuple);
|
||||
bool HnswIndexTupleIsEqual(IndexTuple a, IndexTuple b, TupleDesc tupdesc);
|
||||
|
||||
/* Index access methods */
|
||||
IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);
|
||||
|
||||
@@ -148,7 +148,6 @@ CreateGraphPages(HnswBuildState * buildstate)
|
||||
Page page;
|
||||
HnswElementPtr iter = buildstate->graph->head;
|
||||
char *base = buildstate->hnswarea;
|
||||
bool useIndexTuple = buildstate->useIndexTuple;
|
||||
|
||||
/* Calculate sizes */
|
||||
maxSize = HNSW_MAX_SIZE;
|
||||
@@ -168,6 +167,7 @@ CreateGraphPages(HnswBuildState * buildstate)
|
||||
Size etupSize;
|
||||
Size ntupSize;
|
||||
Size combinedSize;
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
/* Update iterator */
|
||||
iter = element->next;
|
||||
@@ -176,7 +176,7 @@ CreateGraphPages(HnswBuildState * buildstate)
|
||||
MemSet(etup, 0, HNSW_TUPLE_ALLOC_SIZE);
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HnswGetElementTupleSize(base, element, useIndexTuple);
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(valuePtr));
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, buildstate->m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
|
||||
@@ -186,7 +186,7 @@ CreateGraphPages(HnswBuildState * buildstate)
|
||||
(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
|
||||
errmsg("index tuple too large")));
|
||||
|
||||
HnswSetElementTuple(base, etup, element, useIndexTuple);
|
||||
HnswSetElementTuple(base, etup, element);
|
||||
|
||||
/* Keep element and neighbors on the same page if possible */
|
||||
if (PageGetFreeSpace(page) < etupSize || (combinedSize <= maxSize && PageGetFreeSpace(page) < combinedSize))
|
||||
@@ -327,18 +327,19 @@ AddDuplicateInMemory(HnswElement element, HnswElement dup)
|
||||
* Find duplicate element
|
||||
*/
|
||||
static bool
|
||||
FindDuplicateInMemory(char *base, HnswElement element, bool useIndexTuple, TupleDesc tupdesc)
|
||||
FindDuplicateInMemory(char *base, HnswElement element)
|
||||
{
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, element, 0);
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
Datum value = HnswGetValue(base, element);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
HnswElement neighborElement = HnswPtrAccess(base, neighbor->element);
|
||||
Datum neighborValue = HnswGetValue(base, neighborElement);
|
||||
|
||||
/* Exit early since ordered by distance */
|
||||
if (!HnswIndexTupleIsEqual(itup, HnswPtrAccess(base, neighborElement->itup), tupdesc))
|
||||
if (!datumIsEqual(value, neighborValue, false, -1))
|
||||
return false;
|
||||
|
||||
/* Check for space */
|
||||
@@ -365,7 +366,7 @@ AddElementInMemory(char *base, HnswGraph * graph, HnswElement element)
|
||||
* Update neighbors
|
||||
*/
|
||||
static void
|
||||
UpdateNeighborsInMemory(char *base, Relation index, HnswSupport * support, HnswElement e, int m)
|
||||
UpdateNeighborsInMemory(char *base, HnswSupport * support, HnswElement e, int m)
|
||||
{
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
@@ -387,7 +388,7 @@ UpdateNeighborsInMemory(char *base, Relation index, HnswSupport * support, HnswE
|
||||
Assert(neighborElement);
|
||||
|
||||
LWLockAcquire(&neighborElement->lock, LW_EXCLUSIVE);
|
||||
HnswUpdateConnection(base, HnswGetNeighbors(base, neighborElement, lc), e, hc->distance, lm, NULL, index, support);
|
||||
HnswUpdateConnection(base, HnswGetNeighbors(base, neighborElement, lc), e, hc->distance, lm, NULL, NULL, support);
|
||||
LWLockRelease(&neighborElement->lock);
|
||||
}
|
||||
}
|
||||
@@ -403,14 +404,14 @@ UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, int efCon
|
||||
char *base = buildstate->hnswarea;
|
||||
|
||||
/* Look for duplicate */
|
||||
if (FindDuplicateInMemory(base, element, buildstate->useIndexTuple, buildstate->tupdesc))
|
||||
if (FindDuplicateInMemory(base, element))
|
||||
return;
|
||||
|
||||
/* Add element */
|
||||
AddElementInMemory(base, graph, element);
|
||||
|
||||
/* Update neighbors */
|
||||
UpdateNeighborsInMemory(base, buildstate->index, support, element, m);
|
||||
UpdateNeighborsInMemory(base, support, element, m);
|
||||
|
||||
/* Update entry point if needed (already have lock) */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -423,7 +424,6 @@ UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, int efCon
|
||||
static void
|
||||
InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
||||
{
|
||||
Relation index = buildstate->index;
|
||||
HnswGraph *graph = buildstate->graph;
|
||||
HnswSupport *support = &buildstate->support;
|
||||
HnswElement entryPoint;
|
||||
@@ -457,7 +457,7 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
||||
}
|
||||
|
||||
/* Find neighbors for element */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false, true);
|
||||
HnswFindElementNeighbors(base, element, entryPoint, NULL, support, m, efConstruction, false);
|
||||
|
||||
/* Update graph in memory */
|
||||
UpdateGraphInMemory(support, element, m, efConstruction, entryPoint, buildstate);
|
||||
@@ -476,20 +476,18 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
HnswElement element;
|
||||
HnswAllocator *allocator = &buildstate->allocator;
|
||||
HnswSupport *support = &buildstate->support;
|
||||
Size valueSize;
|
||||
Pointer valuePtr;
|
||||
LWLock *flushLock = &graph->flushLock;
|
||||
char *base = buildstate->hnswarea;
|
||||
TupleDesc tupdesc = buildstate->tupdesc;
|
||||
IndexTuple itup;
|
||||
Size itupSize;
|
||||
IndexTuple itupShared;
|
||||
bool unused;
|
||||
Datum value;
|
||||
|
||||
/* Form index tuple */
|
||||
if (!HnswFormIndexTuple(&itup, values, isnull, buildstate->typeInfo, support, tupdesc))
|
||||
/* Form index value */
|
||||
if (!HnswFormIndexValue(&value, values, isnull, buildstate->typeInfo, support))
|
||||
return false;
|
||||
|
||||
/* Get tuple size */
|
||||
itupSize = IndexTupleSize(itup);
|
||||
/* Get datum size */
|
||||
valueSize = VARSIZE_ANY(DatumGetPointer(value));
|
||||
|
||||
/* Ensure graph not flushed when inserting */
|
||||
LWLockAcquire(flushLock, LW_SHARED);
|
||||
@@ -499,7 +497,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
{
|
||||
LWLockRelease(flushLock);
|
||||
|
||||
return HnswInsertTupleOnDisk(index, support, itup, heaptid, true, tupdesc);
|
||||
return HnswInsertTupleOnDisk(index, support, value, heaptid, true);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -531,12 +529,12 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
|
||||
LWLockRelease(flushLock);
|
||||
|
||||
return HnswInsertTupleOnDisk(index, support, itup, heaptid, true, tupdesc);
|
||||
return HnswInsertTupleOnDisk(index, support, value, heaptid, true);
|
||||
}
|
||||
|
||||
/* Ok, we can proceed to allocate the element */
|
||||
element = HnswInitElement(base, heaptid, buildstate->m, buildstate->ml, buildstate->maxLevel, allocator);
|
||||
itupShared = HnswAlloc(allocator, itupSize);
|
||||
valuePtr = HnswAlloc(allocator, valueSize);
|
||||
|
||||
/*
|
||||
* We have now allocated the space needed for the element, so we don't
|
||||
@@ -545,10 +543,9 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
*/
|
||||
LWLockRelease(&graph->allocatorLock);
|
||||
|
||||
/* Copy the tuple */
|
||||
memcpy(itupShared, itup, itupSize);
|
||||
HnswPtrStore(base, element->itup, itupShared);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(index_getattr(itupShared, 1, tupdesc, &unused)));
|
||||
/* Copy the datum */
|
||||
memcpy(valuePtr, DatumGetPointer(value), valueSize);
|
||||
HnswPtrStore(base, element->value, valuePtr);
|
||||
|
||||
/* Create a lock for the element */
|
||||
LWLockInitialize(&element->lock, hnsw_lock_tranche_id);
|
||||
@@ -675,19 +672,6 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
||||
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
||||
errmsg("type not supported for hnsw index")));
|
||||
|
||||
/* TODO See if needed */
|
||||
if (IndexRelationGetNumberOfKeyAttributes(index) > 2)
|
||||
elog(ERROR, "index cannot have more than two columns");
|
||||
|
||||
if (!OidIsValid(index_getprocid(index, 1, HNSW_DISTANCE_PROC)))
|
||||
elog(ERROR, "first column must be a vector");
|
||||
|
||||
for (int i = 1; i < IndexRelationGetNumberOfKeyAttributes(index); i++)
|
||||
{
|
||||
if (!OidIsValid(index_getprocid(index, i + 1, HNSW_ATTRIBUTE_DISTANCE_PROC)))
|
||||
elog(ERROR, "column %d cannot be a vector", i + 1);
|
||||
}
|
||||
|
||||
/* Require column to have dimensions to be indexed */
|
||||
if (buildstate->dimensions < 0)
|
||||
ereport(ERROR,
|
||||
@@ -714,8 +698,6 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
||||
buildstate->graph = &buildstate->graphData;
|
||||
buildstate->ml = HnswGetMl(buildstate->m);
|
||||
buildstate->maxLevel = HnswGetMaxLevel(buildstate->m);
|
||||
buildstate->useIndexTuple = HnswUseIndexTuple(index);
|
||||
buildstate->tupdesc = RelationGetDescr(index);
|
||||
|
||||
buildstate->graphCtx = GenerationContextCreate(CurrentMemoryContext,
|
||||
"Hnsw build graph context",
|
||||
|
||||
@@ -156,10 +156,9 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
uint8 tupleVersion;
|
||||
char *base = NULL;
|
||||
bool useIndexTuple = HnswUseIndexTuple(index);
|
||||
|
||||
/* Calculate sizes */
|
||||
etupSize = HnswGetElementTupleSize(base, e, useIndexTuple);
|
||||
etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(HnswPtrAccess(base, e->value)));
|
||||
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
|
||||
combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
|
||||
maxSize = HNSW_MAX_SIZE;
|
||||
@@ -167,7 +166,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
|
||||
/* Prepare element tuple */
|
||||
etup = palloc0(etupSize);
|
||||
HnswSetElementTuple(base, etup, e, useIndexTuple);
|
||||
HnswSetElementTuple(base, etup, e);
|
||||
|
||||
/* Prepare neighbor tuple */
|
||||
ntup = palloc0(ntupSize);
|
||||
@@ -384,9 +383,8 @@ LoadElementsForInsert(HnswNeighborArray * neighbors, HnswQuery * q, int *idx, Re
|
||||
HnswCandidate *hc = &neighbors->items[i];
|
||||
HnswElement element = HnswPtrAccess(base, hc->element);
|
||||
double distance;
|
||||
bool matches;
|
||||
|
||||
HnswLoadElement(element, &distance, &matches, q, index, support, true, NULL);
|
||||
HnswLoadElement(element, &distance, q, index, support, true, NULL);
|
||||
hc->distance = distance;
|
||||
|
||||
/* Prune element if being deleted */
|
||||
@@ -430,8 +428,6 @@ GetUpdateIndex(HnswElement element, HnswElement newElement, float distance, int
|
||||
HnswQuery q;
|
||||
|
||||
q.value = HnswGetValue(base, element);
|
||||
q.itup = HnswPtrAccess(base, element->itup);
|
||||
q.keyData = NULL;
|
||||
|
||||
LoadElementsForInsert(neighbors, &q, &idx, index, support);
|
||||
|
||||
@@ -637,30 +633,21 @@ AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool bu
|
||||
* Find duplicate element
|
||||
*/
|
||||
static bool
|
||||
FindDuplicateOnDisk(Relation index, HnswElement element, bool building, TupleDesc tupdesc)
|
||||
FindDuplicateOnDisk(Relation index, HnswElement element, bool building)
|
||||
{
|
||||
char *base = NULL;
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, element, 0);
|
||||
Datum value = HnswGetValue(base, element);
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *neighbor = &neighbors->items[i];
|
||||
HnswElement neighborElement = HnswPtrAccess(base, neighbor->element);
|
||||
Datum neighborValue = HnswGetValue(base, neighborElement);
|
||||
|
||||
if (HnswUseIndexTuple(index))
|
||||
{
|
||||
/* Exit early since ordered by distance */
|
||||
if (!HnswIndexTupleIsEqual(itup, HnswPtrAccess(base, neighborElement->itup), tupdesc))
|
||||
return false;
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(value, HnswGetValue(base, neighborElement), false, -1))
|
||||
return false;
|
||||
}
|
||||
/* Exit early since ordered by distance */
|
||||
if (!datumIsEqual(value, neighborValue, false, -1))
|
||||
return false;
|
||||
|
||||
if (AddDuplicateOnDisk(index, element, neighborElement, building))
|
||||
return true;
|
||||
@@ -673,12 +660,12 @@ FindDuplicateOnDisk(Relation index, HnswElement element, bool building, TupleDes
|
||||
* Update graph on disk
|
||||
*/
|
||||
static void
|
||||
UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building, TupleDesc tupdesc)
|
||||
UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
|
||||
{
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
|
||||
/* Look for duplicate */
|
||||
if (FindDuplicateOnDisk(index, element, building, tupdesc))
|
||||
if (FindDuplicateOnDisk(index, element, building))
|
||||
return;
|
||||
|
||||
/* Add element */
|
||||
@@ -700,7 +687,7 @@ UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, in
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
bool
|
||||
HnswInsertTupleOnDisk(Relation index, HnswSupport * support, IndexTuple itup, ItemPointer heaptid, bool building, TupleDesc tupdesc)
|
||||
HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building)
|
||||
{
|
||||
HnswElement entryPoint;
|
||||
HnswElement element;
|
||||
@@ -708,7 +695,6 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, IndexTuple itup, It
|
||||
int efConstruction = HnswGetEfConstruction(index);
|
||||
LOCKMODE lockmode = ShareLock;
|
||||
char *base = NULL;
|
||||
bool unused;
|
||||
|
||||
/*
|
||||
* Get a shared lock. This allows vacuum to ensure no in-flight inserts
|
||||
@@ -722,8 +708,7 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, IndexTuple itup, It
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElement(base, heaptid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
|
||||
HnswPtrStore(base, element->itup, itup);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(index_getattr(itup, 1, tupdesc, &unused)));
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||
|
||||
/* Prevent concurrent inserts when likely updating entry point */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -740,10 +725,10 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, IndexTuple itup, It
|
||||
}
|
||||
|
||||
/* Find neighbors for element */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false, false);
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false);
|
||||
|
||||
/* Update graph on disk */
|
||||
UpdateGraphOnDisk(index, support, element, m, efConstruction, entryPoint, building, tupdesc);
|
||||
UpdateGraphOnDisk(index, support, element, m, efConstruction, entryPoint, building);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
@@ -757,18 +742,17 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, IndexTuple itup, It
|
||||
static void
|
||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid)
|
||||
{
|
||||
IndexTuple itup;
|
||||
Datum value;
|
||||
const HnswTypeInfo *typeInfo = HnswGetTypeInfo(index);
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
HnswSupport support;
|
||||
|
||||
HnswInitSupport(&support, index);
|
||||
|
||||
/* Form index tuple */
|
||||
if (!HnswFormIndexTuple(&itup, values, isnull, typeInfo, &support, tupdesc))
|
||||
/* Form index value */
|
||||
if (!HnswFormIndexValue(&value, values, isnull, typeInfo, &support))
|
||||
return;
|
||||
|
||||
HnswInsertTupleOnDisk(index, &support, itup, heaptid, false, tupdesc);
|
||||
HnswInsertTupleOnDisk(index, &support, value, heaptid, false);
|
||||
}
|
||||
|
||||
/*
|
||||
|
||||
@@ -22,30 +22,26 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
int m;
|
||||
HnswElement entryPoint;
|
||||
char *base = NULL;
|
||||
bool inMemory = false;
|
||||
HnswQuery *q = &so->q;
|
||||
|
||||
q->value = value;
|
||||
q->itup = NULL;
|
||||
q->keyData = scan->keyData;
|
||||
|
||||
/* Get m and entry point */
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
|
||||
q->value = value;
|
||||
so->m = m;
|
||||
|
||||
if (entryPoint == NULL)
|
||||
return NIL;
|
||||
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, support, false, inMemory));
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, support, false));
|
||||
|
||||
for (int lc = entryPoint->level; lc >= 1; lc--)
|
||||
{
|
||||
w = HnswSearchLayer(base, q, ep, 1, lc, index, support, m, false, NULL, inMemory, NULL, NULL, true, NULL);
|
||||
w = HnswSearchLayer(base, q, ep, 1, lc, index, support, m, false, NULL, NULL, NULL, true, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, inMemory, &so->v, hnsw_iterative_search != HNSW_ITERATIVE_SEARCH_OFF ? &so->discarded : NULL, true, &so->tuples);
|
||||
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, &so->v, hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF ? &so->discarded : NULL, true, &so->tuples);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -76,7 +72,7 @@ ResumeScanItems(IndexScanDesc scan)
|
||||
ep = lappend(ep, sc);
|
||||
}
|
||||
|
||||
return HnswSearchLayer(base, &so->q, ep, batch_size, 0, index, &so->support, so->m, false, NULL, false, &so->v, &so->discarded, false, &so->tuples);
|
||||
return HnswSearchLayer(base, &so->q, ep, batch_size, 0, index, &so->support, so->m, false, NULL, &so->v, &so->discarded, false, &so->tuples);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -100,12 +96,23 @@ GetScanValue(IndexScanDesc scan)
|
||||
|
||||
/* Normalize if needed */
|
||||
if (so->support.normprocinfo != NULL)
|
||||
value = HnswNormValue(so->typeInfo, so->support.collation[0], value);
|
||||
value = HnswNormValue(so->typeInfo, so->support.collation, value);
|
||||
}
|
||||
|
||||
return value;
|
||||
}
|
||||
|
||||
#if defined(HNSW_MEMORY)
|
||||
/*
|
||||
* Show memory usage
|
||||
*/
|
||||
static void
|
||||
ShowMemoryUsage(HnswScanOpaque so)
|
||||
{
|
||||
elog(INFO, "memory: %zu KB, tuples: " INT64_FORMAT, MemoryContextMemAllocated(so->tmpCtx, false) / 1024, so->tuples);
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Prepare for an index scan
|
||||
*/
|
||||
@@ -114,21 +121,29 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
|
||||
{
|
||||
IndexScanDesc scan;
|
||||
HnswScanOpaque so;
|
||||
double maxMemory;
|
||||
|
||||
scan = RelationGetIndexScan(index, nkeys, norderbys);
|
||||
|
||||
so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData));
|
||||
so->typeInfo = HnswGetTypeInfo(index);
|
||||
so->first = true;
|
||||
so->v.tids = NULL;
|
||||
so->discarded = NULL;
|
||||
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Hnsw scan temporary context",
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
|
||||
/* Set support functions */
|
||||
HnswInitSupport(&so->support, index);
|
||||
|
||||
/*
|
||||
* Use a lower max allocation size than default to allow scanning more
|
||||
* tuples for iterative search before exceeding work_mem
|
||||
*/
|
||||
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Hnsw scan temporary context",
|
||||
0, 8 * 1024, 256 * 1024);
|
||||
|
||||
/* Calculate max memory */
|
||||
/* Add 256 extra bytes to fill last block when close */
|
||||
maxMemory = (double) work_mem * hnsw_scan_mem_multiplier * 1024.0 + 256;
|
||||
so->maxMemory = Min(maxMemory, (double) SIZE_MAX);
|
||||
|
||||
scan->opaque = so;
|
||||
|
||||
return scan;
|
||||
@@ -142,13 +157,10 @@ hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int no
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
|
||||
if (so->v.tids != NULL)
|
||||
tidhash_reset(so->v.tids);
|
||||
|
||||
if (so->discarded != NULL)
|
||||
pairingheap_reset(so->discarded);
|
||||
|
||||
so->first = true;
|
||||
/* v and discarded are allocated in tmpCtx */
|
||||
so->v.tids = NULL;
|
||||
so->discarded = NULL;
|
||||
so->tuples = 0;
|
||||
so->previousDistance = -get_float8_infinity();
|
||||
MemoryContextReset(so->tmpCtx);
|
||||
@@ -208,7 +220,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
so->first = false;
|
||||
|
||||
#if defined(HNSW_MEMORY)
|
||||
elog(INFO, "memory: %zu KB", MemoryContextMemAllocated(so->tmpCtx, false) / 1024);
|
||||
ShowMemoryUsage(so);
|
||||
#endif
|
||||
}
|
||||
|
||||
@@ -221,15 +233,15 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
|
||||
if (list_length(so->w) == 0)
|
||||
{
|
||||
if (hnsw_iterative_search == HNSW_ITERATIVE_SEARCH_OFF)
|
||||
if (hnsw_iterative_scan == HNSW_ITERATIVE_SCAN_OFF)
|
||||
break;
|
||||
|
||||
/* Empty index */
|
||||
if (so->discarded == NULL)
|
||||
break;
|
||||
|
||||
/* Reached max number of additional tuples */
|
||||
if (hnsw_iterative_search_max_tuples != -1 && so->tuples >= hnsw_iterative_search_max_tuples)
|
||||
/* Reached max number of tuples */
|
||||
if (so->tuples >= hnsw_max_scan_tuples)
|
||||
{
|
||||
if (pairingheap_is_empty(so->discarded))
|
||||
break;
|
||||
@@ -238,13 +250,13 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
so->w = lappend(so->w, HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded)));
|
||||
}
|
||||
/* Prevent scans from consuming too much memory */
|
||||
else if (MemoryContextMemAllocated(so->tmpCtx, false) > (Size) work_mem * 1024L)
|
||||
else if (MemoryContextMemAllocated(so->tmpCtx, false) > so->maxMemory)
|
||||
{
|
||||
if (pairingheap_is_empty(so->discarded))
|
||||
{
|
||||
ereport(DEBUG1,
|
||||
(errmsg("hnsw index scan exceeded work_mem after " INT64_FORMAT " tuples", so->tuples),
|
||||
errhint("Increase work_mem to scan more tuples.")));
|
||||
(errmsg("hnsw index scan reached memory limit after " INT64_FORMAT " tuples", so->tuples),
|
||||
errhint("Increase hnsw.scan_mem_multiplier to scan more tuples.")));
|
||||
|
||||
break;
|
||||
}
|
||||
@@ -270,7 +282,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
#if defined(HNSW_MEMORY)
|
||||
elog(INFO, "memory: %zu KB", MemoryContextMemAllocated(so->tmpCtx, false) / 1024);
|
||||
ShowMemoryUsage(so);
|
||||
#endif
|
||||
}
|
||||
|
||||
@@ -282,12 +294,12 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
element = HnswPtrAccess(base, sc->element);
|
||||
|
||||
/* Move to next element if no valid heap TIDs */
|
||||
if (!sc->matches || element->heaptidsLength == 0)
|
||||
if (element->heaptidsLength == 0)
|
||||
{
|
||||
so->w = list_delete_last(so->w);
|
||||
|
||||
/* Mark memory as free for next iteration */
|
||||
if (hnsw_iterative_search != HNSW_ITERATIVE_SEARCH_OFF)
|
||||
if (hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF)
|
||||
{
|
||||
pfree(element);
|
||||
pfree(sc);
|
||||
@@ -298,7 +310,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
|
||||
heaptid = &element->heaptids[--element->heaptidsLength];
|
||||
|
||||
if (hnsw_iterative_search == HNSW_ITERATIVE_SEARCH_STRICT)
|
||||
if (hnsw_iterative_scan == HNSW_ITERATIVE_SCAN_STRICT)
|
||||
{
|
||||
if (sc->distance < so->previousDistance)
|
||||
continue;
|
||||
|
||||
339
src/hnswutils.c
339
src/hnswutils.c
@@ -146,39 +146,11 @@ HnswOptionalProcInfo(Relation index, uint16 procnum)
|
||||
void
|
||||
HnswInitSupport(HnswSupport * support, Relation index)
|
||||
{
|
||||
support->procinfo[0] = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
|
||||
if (IndexRelationGetNumberOfKeyAttributes(index) > 1)
|
||||
support->procinfo[1] = index_getprocinfo(index, 2, HNSW_ATTRIBUTE_DISTANCE_PROC);
|
||||
|
||||
support->collation = index->rd_indcollation;
|
||||
support->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
support->collation = index->rd_indcollation[0];
|
||||
support->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get element tuple size
|
||||
*/
|
||||
Size
|
||||
HnswGetElementTupleSize(char *base, HnswElement element, bool useIndexTuple)
|
||||
{
|
||||
Size size;
|
||||
|
||||
if (useIndexTuple)
|
||||
{
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
size = IndexTupleSize(itup);
|
||||
}
|
||||
else
|
||||
{
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
size = VARSIZE_ANY(valuePtr);
|
||||
}
|
||||
|
||||
return HNSW_ELEMENT_TUPLE_SIZE(size);
|
||||
}
|
||||
|
||||
/*
|
||||
* Normalize value
|
||||
*/
|
||||
@@ -194,38 +166,7 @@ HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value)
|
||||
bool
|
||||
HnswCheckNorm(HnswSupport * support, Datum value)
|
||||
{
|
||||
return DatumGetFloat8(FunctionCall1Coll(support->normprocinfo, support->collation[0], value)) > 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Check if index tuples are equal
|
||||
*/
|
||||
bool
|
||||
HnswIndexTupleIsEqual(IndexTuple a, IndexTuple b, TupleDesc tupdesc)
|
||||
{
|
||||
for (int i = 0; i < tupdesc->natts; i++)
|
||||
{
|
||||
bool nullA;
|
||||
bool nullB;
|
||||
|
||||
Datum datumA = index_getattr(a, i + 1, tupdesc, &nullA);
|
||||
Datum datumB = index_getattr(b, i + 1, tupdesc, &nullB);
|
||||
|
||||
if (nullA || nullB)
|
||||
{
|
||||
if (nullA != nullB)
|
||||
return false;
|
||||
}
|
||||
else
|
||||
{
|
||||
Form_pg_attribute att = TupleDescAttr(tupdesc, i);
|
||||
|
||||
if (!datumIsEqual(datumA, datumB, att->attbyval, att->attlen))
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
return DatumGetFloat8(FunctionCall1Coll(support->normprocinfo, support->collation, value)) > 0;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -316,7 +257,6 @@ HnswInitElement(char *base, ItemPointer heaptid, int m, double ml, int maxLevel,
|
||||
HnswInitNeighbors(base, element, m, allocator);
|
||||
|
||||
HnswPtrStore(base, element->value, (Pointer) NULL);
|
||||
HnswPtrStore(base, element->itup, (IndexTuple) NULL);
|
||||
|
||||
return element;
|
||||
}
|
||||
@@ -343,7 +283,6 @@ HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno)
|
||||
element->offno = offno;
|
||||
HnswPtrStore(base, element->neighbors, (HnswNeighborArrayPtr *) NULL);
|
||||
HnswPtrStore(base, element->value, (Pointer) NULL);
|
||||
HnswPtrStore(base, element->itup, (IndexTuple) NULL);
|
||||
return element;
|
||||
}
|
||||
|
||||
@@ -456,13 +395,11 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
|
||||
}
|
||||
|
||||
/*
|
||||
* Form index tuple
|
||||
* Form index value
|
||||
*/
|
||||
bool
|
||||
HnswFormIndexTuple(IndexTuple *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support, TupleDesc tupdesc)
|
||||
HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support)
|
||||
{
|
||||
Datum newValues[2];
|
||||
|
||||
/* Detoast once for all calls */
|
||||
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
@@ -476,14 +413,10 @@ HnswFormIndexTuple(IndexTuple *out, Datum *values, bool *isnull, const HnswTypeI
|
||||
if (!HnswCheckNorm(support, value))
|
||||
return false;
|
||||
|
||||
value = HnswNormValue(typeInfo, support->collation[0], value);
|
||||
value = HnswNormValue(typeInfo, support->collation, value);
|
||||
}
|
||||
|
||||
newValues[0] = value;
|
||||
for (int i = 1; i < tupdesc->natts; i++)
|
||||
newValues[i] = values[i];
|
||||
|
||||
*out = index_form_tuple(tupdesc, newValues, isnull);
|
||||
*out = value;
|
||||
|
||||
return true;
|
||||
}
|
||||
@@ -492,8 +425,10 @@ HnswFormIndexTuple(IndexTuple *out, Datum *values, bool *isnull, const HnswTypeI
|
||||
* Set element tuple, except for neighbor info
|
||||
*/
|
||||
void
|
||||
HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element, bool useIndexTuple)
|
||||
HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element)
|
||||
{
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
etup->type = HNSW_ELEMENT_TUPLE_TYPE;
|
||||
etup->level = element->level;
|
||||
etup->deleted = 0;
|
||||
@@ -505,19 +440,7 @@ HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element, bool
|
||||
else
|
||||
ItemPointerSetInvalid(&etup->heaptids[i]);
|
||||
}
|
||||
|
||||
if (useIndexTuple)
|
||||
{
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
memcpy(&etup->data, itup, IndexTupleSize(itup));
|
||||
}
|
||||
else
|
||||
{
|
||||
Pointer valuePtr = HnswPtrAccess(base, element->value);
|
||||
|
||||
memcpy(&etup->data, valuePtr, VARSIZE_ANY(valuePtr));
|
||||
}
|
||||
memcpy(&etup->data, valuePtr, VARSIZE_ANY(valuePtr));
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -559,7 +482,7 @@ HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
* Load an element from a tuple
|
||||
*/
|
||||
void
|
||||
HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec, Relation index)
|
||||
HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec)
|
||||
{
|
||||
element->level = etup->level;
|
||||
element->deleted = etup->deleted;
|
||||
@@ -583,128 +506,26 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
||||
if (loadVec)
|
||||
{
|
||||
char *base = NULL;
|
||||
Datum value = datumCopy(PointerGetDatum(&etup->data), false, -1);
|
||||
|
||||
if (HnswUseIndexTuple(index))
|
||||
{
|
||||
IndexTuple itup = CopyIndexTuple((IndexTuple) &etup->data);
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
bool unused;
|
||||
|
||||
HnswPtrStore(base, element->itup, itup);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(index_getattr(itup, 1, tupdesc, &unused)));
|
||||
}
|
||||
else
|
||||
{
|
||||
Datum value = datumCopy(PointerGetDatum(&etup->data), false, -1);
|
||||
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||
}
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the attribute distance
|
||||
*/
|
||||
static inline double
|
||||
AttributeDistance(double e)
|
||||
{
|
||||
/* TODO Better bias */
|
||||
/* must be >> max(w * g) + 1 / log10(2) */
|
||||
double bias = 4.32;
|
||||
|
||||
return e > 0 ? bias - 1.0 / log10(e + 1) : 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Calculate the distance between values
|
||||
*/
|
||||
static double
|
||||
HnswGetDistance(IndexTuple itup, Datum vec, HnswQuery * q, Relation index, HnswSupport * support, bool *matches)
|
||||
static inline double
|
||||
HnswGetDistance(Datum a, Datum b, HnswSupport * support)
|
||||
{
|
||||
double g;
|
||||
|
||||
if (DatumGetPointer(q->value) == NULL)
|
||||
g = 0;
|
||||
else
|
||||
g = DatumGetFloat8(FunctionCall2Coll(support->procinfo[0], support->collation[0], q->value, vec));
|
||||
|
||||
Assert(PointerIsValid(matches));
|
||||
*matches = true;
|
||||
|
||||
if (IndexRelationGetNumberOfKeyAttributes(index) > 1)
|
||||
{
|
||||
double w = 0.25;
|
||||
double e = 0.0;
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
|
||||
if (q->keyData)
|
||||
{
|
||||
/* TODO need to pass length of key data */
|
||||
int keyCount = 1;
|
||||
|
||||
for (int i = 0; i < keyCount; i++)
|
||||
{
|
||||
ScanKey key = &q->keyData[i];
|
||||
bool isnull;
|
||||
Datum value = index_getattr(itup, key->sk_attno, tupdesc, &isnull);
|
||||
bool attnull = key->sk_flags & SK_ISNULL;
|
||||
|
||||
if (isnull || attnull)
|
||||
{
|
||||
if (isnull != attnull)
|
||||
{
|
||||
e += 1000;
|
||||
*matches = false;
|
||||
}
|
||||
}
|
||||
else if (!DatumGetBool(FunctionCall2Coll(&key->sk_func, key->sk_collation, value, key->sk_argument)))
|
||||
{
|
||||
double ei = fabs(DatumGetFloat8(FunctionCall2Coll(support->procinfo[key->sk_attno - 1], support->collation[key->sk_attno - 1], value, key->sk_argument)));
|
||||
|
||||
if (ei > 0)
|
||||
e += ei;
|
||||
else
|
||||
/* Distance is zero for inequality */
|
||||
e += 1000;
|
||||
|
||||
*matches = false;
|
||||
}
|
||||
}
|
||||
|
||||
return w * g + AttributeDistance(e);
|
||||
}
|
||||
else if (q->itup)
|
||||
{
|
||||
int keyCount = IndexRelationGetNumberOfKeyAttributes(index) - 1;
|
||||
|
||||
for (int i = 0; i < keyCount; i++)
|
||||
{
|
||||
bool isnull;
|
||||
bool attnull;
|
||||
Datum value = index_getattr(itup, i + 2, tupdesc, &isnull);
|
||||
Datum value2 = index_getattr(q->itup, i + 2, tupdesc, &attnull);
|
||||
|
||||
if (isnull || attnull)
|
||||
{
|
||||
if (isnull != attnull)
|
||||
e += 1000;
|
||||
}
|
||||
else
|
||||
e += fabs(DatumGetFloat8(FunctionCall2Coll(support->procinfo[i + 1], support->collation[i + 1], value, value2)));
|
||||
}
|
||||
|
||||
return w * g + AttributeDistance(e);
|
||||
}
|
||||
}
|
||||
|
||||
return g;
|
||||
return DatumGetFloat8(FunctionCall2Coll(support->procinfo, support->collation, a, b));
|
||||
}
|
||||
|
||||
/*
|
||||
* Load an element and optionally get its distance from q
|
||||
*/
|
||||
static void
|
||||
HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, bool *matches, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
|
||||
HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -722,23 +543,10 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, boo
|
||||
/* Calculate distance */
|
||||
if (distance != NULL)
|
||||
{
|
||||
IndexTuple itup = NULL;
|
||||
Datum value;
|
||||
|
||||
if (HnswUseIndexTuple(index))
|
||||
{
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
bool unused;
|
||||
|
||||
itup = (IndexTuple) &etup->data;
|
||||
value = index_getattr(itup, 1, tupdesc, &unused);
|
||||
}
|
||||
if (DatumGetPointer(q->value) == NULL)
|
||||
*distance = 0;
|
||||
else
|
||||
{
|
||||
value = PointerGetDatum(&etup->data);
|
||||
}
|
||||
|
||||
*distance = HnswGetDistance(itup, value, q, index, support, matches);
|
||||
*distance = HnswGetDistance(q->value, PointerGetDatum(&etup->data), support);
|
||||
}
|
||||
|
||||
/* Load element */
|
||||
@@ -747,7 +555,7 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, boo
|
||||
if (*element == NULL)
|
||||
*element = HnswInitElementFromBlock(blkno, offno);
|
||||
|
||||
HnswLoadElementFromTuple(*element, etup, true, loadVec, index);
|
||||
HnswLoadElementFromTuple(*element, etup, true, loadVec);
|
||||
}
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
@@ -757,37 +565,50 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, boo
|
||||
* Load an element and optionally get its distance from q
|
||||
*/
|
||||
void
|
||||
HnswLoadElement(HnswElement element, double *distance, bool *matches, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance)
|
||||
HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance)
|
||||
{
|
||||
HnswLoadElementImpl(element->blkno, element->offno, distance, matches, q, index, support, loadVec, maxDistance, &element);
|
||||
HnswLoadElementImpl(element->blkno, element->offno, distance, q, index, support, loadVec, maxDistance, &element);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the distance for an element
|
||||
*/
|
||||
static double
|
||||
GetElementDistance(char *base, HnswElement element, bool *matches, HnswQuery * q, Relation index, HnswSupport * support)
|
||||
GetElementDistance(char *base, HnswElement element, HnswQuery * q, HnswSupport * support)
|
||||
{
|
||||
Datum value = HnswGetValue(base, element);
|
||||
IndexTuple itup = HnswPtrAccess(base, element->itup);
|
||||
|
||||
return HnswGetDistance(itup, value, q, index, support, matches);
|
||||
return HnswGetDistance(q->value, value, support);
|
||||
}
|
||||
|
||||
/*
|
||||
* Allocate a search candidate
|
||||
*/
|
||||
static HnswSearchCandidate *
|
||||
HnswInitSearchCandidate(char *base, HnswElement element, double distance)
|
||||
{
|
||||
HnswSearchCandidate *sc = palloc(sizeof(HnswSearchCandidate));
|
||||
|
||||
HnswPtrStore(base, sc->element, element);
|
||||
sc->distance = distance;
|
||||
return sc;
|
||||
}
|
||||
|
||||
/*
|
||||
* Create a candidate for the entry point
|
||||
*/
|
||||
HnswSearchCandidate *
|
||||
HnswEntryCandidate(char *base, HnswElement entryPoint, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, bool inMemory)
|
||||
HnswEntryCandidate(char *base, HnswElement entryPoint, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec)
|
||||
{
|
||||
HnswSearchCandidate *sc = palloc(sizeof(HnswSearchCandidate));
|
||||
bool inMemory = index == NULL;
|
||||
double distance;
|
||||
|
||||
HnswPtrStore(base, sc->element, entryPoint);
|
||||
if (inMemory)
|
||||
sc->distance = GetElementDistance(base, entryPoint, &sc->matches, q, index, support);
|
||||
distance = GetElementDistance(base, entryPoint, q, support);
|
||||
else
|
||||
HnswLoadElement(entryPoint, &sc->distance, &sc->matches, q, index, support, loadVec, NULL);
|
||||
return sc;
|
||||
HnswLoadElement(entryPoint, &distance, q, index, support, loadVec, NULL);
|
||||
|
||||
return HnswInitSearchCandidate(base, entryPoint, distance);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -990,7 +811,7 @@ HnswLoadUnvisitedFromDisk(HnswElement element, HnswUnvisited * unvisited, int *u
|
||||
* Algorithm 2 from paper
|
||||
*/
|
||||
List *
|
||||
HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, bool inMemory, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples)
|
||||
HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples)
|
||||
{
|
||||
List *w = NIL;
|
||||
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
@@ -1003,8 +824,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswUnvisited *unvisited = palloc(lm * sizeof(HnswUnvisited));
|
||||
int unvisitedLength;
|
||||
uint64 additional = 0;
|
||||
uint64 maxAdditional = q->keyData && lc == 0 ? 10000 : 0;
|
||||
bool inMemory = index == NULL;
|
||||
|
||||
if (v == NULL)
|
||||
{
|
||||
@@ -1037,6 +857,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
{
|
||||
AddToVisited(base, v, sc->element, inMemory, &found);
|
||||
|
||||
/* OK to count elements instead of tuples */
|
||||
if (tuples != NULL)
|
||||
(*tuples)++;
|
||||
}
|
||||
@@ -1044,10 +865,6 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
pairingheap_add(C, &sc->c_node);
|
||||
pairingheap_add(W, &sc->w_node);
|
||||
|
||||
/* Do not count elements that do not match filter towards ef */
|
||||
if (!sc->matches && ++additional <= maxAdditional)
|
||||
continue;
|
||||
|
||||
/*
|
||||
* Do not count elements being deleted towards ef when vacuuming. It
|
||||
* would be ideal to do this for inserts as well, but this could
|
||||
@@ -1073,6 +890,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
else
|
||||
HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, v, index, m, lm, lc);
|
||||
|
||||
/* OK to count elements instead of tuples */
|
||||
if (tuples != NULL)
|
||||
(*tuples) += unvisitedLength;
|
||||
|
||||
@@ -1081,7 +899,6 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
HnswElement eElement;
|
||||
HnswSearchCandidate *e;
|
||||
double eDistance;
|
||||
bool eMatches;
|
||||
bool alwaysAdd = wlen < ef;
|
||||
|
||||
f = HnswGetSearchCandidate(w_node, pairingheap_first(W));
|
||||
@@ -1089,7 +906,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
if (inMemory)
|
||||
{
|
||||
eElement = unvisited[i].element;
|
||||
eDistance = GetElementDistance(base, eElement, &eMatches, q, index, support);
|
||||
eDistance = GetElementDistance(base, eElement, q, support);
|
||||
}
|
||||
else
|
||||
{
|
||||
@@ -1099,7 +916,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
|
||||
/* Avoid any allocations if not adding */
|
||||
eElement = NULL;
|
||||
HnswLoadElementImpl(blkno, offno, &eDistance, &eMatches, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
|
||||
HnswLoadElementImpl(blkno, offno, &eDistance, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
|
||||
|
||||
if (eElement == NULL)
|
||||
continue;
|
||||
@@ -1110,9 +927,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
if (discarded != NULL)
|
||||
{
|
||||
/* Create a new candidate */
|
||||
e = palloc(sizeof(HnswSearchCandidate));
|
||||
HnswPtrStore(base, e->element, eElement);
|
||||
e->distance = eDistance;
|
||||
e = HnswInitSearchCandidate(base, eElement, eDistance);
|
||||
pairingheap_add(*discarded, &e->w_node);
|
||||
}
|
||||
|
||||
@@ -1124,10 +939,7 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
continue;
|
||||
|
||||
/* Create a new candidate */
|
||||
e = palloc(sizeof(HnswSearchCandidate));
|
||||
HnswPtrStore(base, e->element, eElement);
|
||||
e->distance = eDistance;
|
||||
e->matches = eMatches;
|
||||
e = HnswInitSearchCandidate(base, eElement, eDistance);
|
||||
pairingheap_add(C, &e->c_node);
|
||||
pairingheap_add(W, &e->w_node);
|
||||
|
||||
@@ -1138,10 +950,6 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
*/
|
||||
if (CountElement(skipElement, eElement))
|
||||
{
|
||||
/* Do not count elements that do not match filter towards ef */
|
||||
if (!e->matches && ++additional <= maxAdditional)
|
||||
continue;
|
||||
|
||||
wlen++;
|
||||
|
||||
/* No need to decrement wlen */
|
||||
@@ -1219,24 +1027,18 @@ CompareCandidateDistancesOffset(const ListCell *a, const ListCell *b)
|
||||
* Check if an element is closer to q than any element from R
|
||||
*/
|
||||
static bool
|
||||
CheckElementCloser(char *base, HnswCandidate * e, List *r, Relation index, HnswSupport * support)
|
||||
CheckElementCloser(char *base, HnswCandidate * e, List *r, HnswSupport * support)
|
||||
{
|
||||
HnswElement eElement = HnswPtrAccess(base, e->element);
|
||||
HnswQuery q;
|
||||
Datum eValue = HnswGetValue(base, eElement);
|
||||
ListCell *lc2;
|
||||
|
||||
q.value = HnswGetValue(base, eElement);
|
||||
q.itup = HnswPtrAccess(base, eElement->itup);
|
||||
q.keyData = NULL;
|
||||
|
||||
foreach(lc2, r)
|
||||
{
|
||||
HnswCandidate *ri = lfirst(lc2);
|
||||
HnswElement riElement = HnswPtrAccess(base, ri->element);
|
||||
Datum riValue = HnswGetValue(base, riElement);
|
||||
IndexTuple ritup = HnswPtrAccess(base, riElement->itup);
|
||||
bool matches;
|
||||
float distance = HnswGetDistance(ritup, riValue, &q, index, support, &matches);
|
||||
float distance = HnswGetDistance(eValue, riValue, support);
|
||||
|
||||
if (distance <= e->distance)
|
||||
return false;
|
||||
@@ -1249,7 +1051,7 @@ CheckElementCloser(char *base, HnswCandidate * e, List *r, Relation index, HnswS
|
||||
* Algorithm 4 from paper
|
||||
*/
|
||||
static List *
|
||||
SelectNeighbors(char *base, List *c, int lm, Relation index, HnswSupport * support, bool *closerSet, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closerSet, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
{
|
||||
List *r = NIL;
|
||||
List *w = list_copy(c);
|
||||
@@ -1283,7 +1085,7 @@ SelectNeighbors(char *base, List *c, int lm, Relation index, HnswSupport * suppo
|
||||
|
||||
/* Use previous state of r and wd to skip work when possible */
|
||||
if (mustCalculate)
|
||||
e->closer = CheckElementCloser(base, e, r, index, support);
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
else if (list_length(added) > 0)
|
||||
{
|
||||
/* Keep Valgrind happy for in-memory, parallel builds */
|
||||
@@ -1296,7 +1098,8 @@ SelectNeighbors(char *base, List *c, int lm, Relation index, HnswSupport * suppo
|
||||
*/
|
||||
if (e->closer)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, added, index, support);
|
||||
e->closer = CheckElementCloser(base, e, added, support);
|
||||
|
||||
if (!e->closer)
|
||||
removedAny = true;
|
||||
}
|
||||
@@ -1308,7 +1111,7 @@ SelectNeighbors(char *base, List *c, int lm, Relation index, HnswSupport * suppo
|
||||
*/
|
||||
if (removedAny)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, r, index, support);
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1316,7 +1119,7 @@ SelectNeighbors(char *base, List *c, int lm, Relation index, HnswSupport * suppo
|
||||
}
|
||||
else if (e == newCandidate)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, r, index, support);
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1393,7 +1196,7 @@ HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newE
|
||||
c = lappend(c, &neighbors->items[i]);
|
||||
c = lappend(c, &newHc);
|
||||
|
||||
SelectNeighbors(base, c, lm, index, support, &neighbors->closerSet, &newHc, &pruned, true);
|
||||
SelectNeighbors(base, c, lm, support, &neighbors->closerSet, &newHc, &pruned, true);
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
@@ -1464,19 +1267,17 @@ PrecomputeHash(char *base, HnswElement element)
|
||||
* Algorithm 1 from paper
|
||||
*/
|
||||
void
|
||||
HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing, bool inMemory)
|
||||
HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing)
|
||||
{
|
||||
List *ep;
|
||||
List *w;
|
||||
int level = element->level;
|
||||
int entryLevel;
|
||||
HnswQuery q;
|
||||
|
||||
HnswElement skipElement = existing ? element : NULL;
|
||||
bool inMemory = index == NULL;
|
||||
|
||||
q.value = HnswGetValue(base, element);
|
||||
q.itup = HnswPtrAccess(base, element->itup);
|
||||
q.keyData = NULL;
|
||||
|
||||
/* Precompute hash */
|
||||
if (inMemory)
|
||||
@@ -1487,13 +1288,13 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
return;
|
||||
|
||||
/* Get entry point and level */
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, &q, index, support, true, inMemory));
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, &q, index, support, true));
|
||||
entryLevel = entryPoint->level;
|
||||
|
||||
/* 1st phase: greedy search to insert level */
|
||||
for (int lc = entryLevel; lc >= level + 1; lc--)
|
||||
{
|
||||
w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, true, skipElement, inMemory, NULL, NULL, true, NULL);
|
||||
w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
@@ -1512,7 +1313,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
List *lw = NIL;
|
||||
ListCell *lc2;
|
||||
|
||||
w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement, inMemory, NULL, NULL, true, NULL);
|
||||
w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
|
||||
|
||||
/* Convert search candidates to candidates */
|
||||
foreach(lc2, w)
|
||||
@@ -1536,7 +1337,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
* sortCandidates to true for in-memory builds to enable closer
|
||||
* caching, but there does not seem to be a difference in performance.
|
||||
*/
|
||||
neighbors = SelectNeighbors(base, lw, lm, index, support, &HnswGetNeighbors(base, element, lc)->closerSet, NULL, NULL, false);
|
||||
neighbors = SelectNeighbors(base, lw, lm, support, &HnswGetNeighbors(base, element, lc)->closerSet, NULL, NULL, false);
|
||||
|
||||
AddConnections(base, element, neighbors, lc);
|
||||
|
||||
|
||||
@@ -204,7 +204,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
element->heaptidsLength = 0;
|
||||
|
||||
/* Find neighbors for element, skipping itself */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true, false);
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true);
|
||||
|
||||
/* Zero memory for each element */
|
||||
MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);
|
||||
@@ -256,7 +256,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
LockPage(index, HNSW_UPDATE_LOCK, ShareLock);
|
||||
|
||||
/* Load element */
|
||||
HnswLoadElement(highestPoint, NULL, NULL, NULL, index, support, true, NULL);
|
||||
HnswLoadElement(highestPoint, NULL, NULL, index, support, true, NULL);
|
||||
|
||||
/* Repair if needed */
|
||||
if (NeedsUpdated(vacuumstate, highestPoint))
|
||||
@@ -294,7 +294,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
* is outdated, this can remove connections at higher levels in
|
||||
* the graph until they are repaired, but this should be fine.
|
||||
*/
|
||||
HnswLoadElement(entryPoint, NULL, NULL, NULL, index, support, true, NULL);
|
||||
HnswLoadElement(entryPoint, NULL, NULL, index, support, true, NULL);
|
||||
|
||||
if (NeedsUpdated(vacuumstate, entryPoint))
|
||||
{
|
||||
@@ -370,7 +370,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElementFromBlock(blkno, offno);
|
||||
HnswLoadElementFromTuple(element, etup, false, true, index);
|
||||
HnswLoadElementFromTuple(element, etup, false, true);
|
||||
|
||||
elements = lappend(elements, element);
|
||||
}
|
||||
@@ -440,7 +440,6 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
BlockNumber insertPage = InvalidBlockNumber;
|
||||
Relation index = vacuumstate->index;
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
bool useIndexTuple = HnswUseIndexTuple(index);
|
||||
|
||||
/*
|
||||
* Wait for index scans to complete. Scans before this point may contain
|
||||
@@ -522,14 +521,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
|
||||
/* Overwrite element */
|
||||
etup->deleted = 1;
|
||||
if (useIndexTuple)
|
||||
{
|
||||
IndexTuple itup = (IndexTuple) &etup->data;
|
||||
|
||||
MemSet(itup, 0, IndexTupleSize(itup));
|
||||
}
|
||||
else
|
||||
MemSet(&etup->data, 0, VARSIZE_ANY(&etup->data));
|
||||
MemSet(&etup->data, 0, VARSIZE_ANY(&etup->data));
|
||||
|
||||
/* Overwrite neighbors */
|
||||
for (int i = 0; i < ntup->count; i++)
|
||||
|
||||
@@ -138,7 +138,7 @@ SampleRows(IvfflatBuildState * buildstate)
|
||||
* Add tuple to sort
|
||||
*/
|
||||
static void
|
||||
AddTupleToSort(Relation index, ItemPointer tid, Datum *values, bool *isnull, IvfflatBuildState * buildstate)
|
||||
AddTupleToSort(Relation index, ItemPointer tid, Datum *values, IvfflatBuildState * buildstate)
|
||||
{
|
||||
double distance;
|
||||
double minDistance = DBL_MAX;
|
||||
@@ -184,11 +184,6 @@ AddTupleToSort(Relation index, ItemPointer tid, Datum *values, bool *isnull, Ivf
|
||||
slot->tts_isnull[1] = false;
|
||||
slot->tts_values[2] = value;
|
||||
slot->tts_isnull[2] = false;
|
||||
for (int i = 1; i < buildstate->tupdesc->natts; i++)
|
||||
{
|
||||
slot->tts_values[2 + i] = values[i];
|
||||
slot->tts_isnull[2 + i] = isnull[i];
|
||||
}
|
||||
ExecStoreVirtualTuple(slot);
|
||||
|
||||
/*
|
||||
@@ -220,7 +215,7 @@ BuildCallback(Relation index, ItemPointer tid, Datum *values,
|
||||
oldCtx = MemoryContextSwitchTo(buildstate->tmpCtx);
|
||||
|
||||
/* Add tuple to sort */
|
||||
AddTupleToSort(index, tid, values, isnull, buildstate);
|
||||
AddTupleToSort(index, tid, values, buildstate);
|
||||
|
||||
/* Reset memory context */
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
@@ -231,20 +226,19 @@ BuildCallback(Relation index, ItemPointer tid, Datum *values,
|
||||
* Get index tuple from sort state
|
||||
*/
|
||||
static inline void
|
||||
GetNextTuple(Tuplesortstate *sortstate, TupleDesc tupdesc, TupleTableSlot *slot, Datum *values, bool *isnull, IndexTuple *itup, int *list)
|
||||
GetNextTuple(Tuplesortstate *sortstate, TupleDesc tupdesc, TupleTableSlot *slot, IndexTuple *itup, int *list)
|
||||
{
|
||||
if (tuplesort_gettupleslot(sortstate, true, false, slot, NULL))
|
||||
{
|
||||
bool unused;
|
||||
Datum value;
|
||||
bool isnull;
|
||||
|
||||
*list = DatumGetInt32(slot_getattr(slot, 1, &unused));
|
||||
|
||||
for (int i = 0; i < tupdesc->natts; i++)
|
||||
values[i] = slot_getattr(slot, 3 + i, &isnull[i]);
|
||||
*list = DatumGetInt32(slot_getattr(slot, 1, &isnull));
|
||||
value = slot_getattr(slot, 3, &isnull);
|
||||
|
||||
/* Form the index tuple */
|
||||
*itup = index_form_tuple(tupdesc, values, isnull);
|
||||
(*itup)->t_tid = *((ItemPointer) DatumGetPointer(slot_getattr(slot, 2, &unused)));
|
||||
*itup = index_form_tuple(tupdesc, &value, &isnull);
|
||||
(*itup)->t_tid = *((ItemPointer) DatumGetPointer(slot_getattr(slot, 2, &isnull)));
|
||||
}
|
||||
else
|
||||
*list = -1;
|
||||
@@ -262,14 +256,12 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
|
||||
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsMinimalTuple);
|
||||
TupleDesc tupdesc = buildstate->tupdesc;
|
||||
Datum *values = palloc(tupdesc->natts * sizeof(Datum));
|
||||
bool *isnull = palloc(tupdesc->natts * sizeof(bool));
|
||||
|
||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_LOAD);
|
||||
|
||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_TUPLES_TOTAL, buildstate->indtuples);
|
||||
|
||||
GetNextTuple(buildstate->sortstate, tupdesc, slot, values, isnull, &itup, &list);
|
||||
GetNextTuple(buildstate->sortstate, tupdesc, slot, &itup, &list);
|
||||
|
||||
for (int i = 0; i < buildstate->centers->length; i++)
|
||||
{
|
||||
@@ -305,7 +297,7 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
|
||||
|
||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_TUPLES_DONE, ++inserted);
|
||||
|
||||
GetNextTuple(buildstate->sortstate, tupdesc, slot, values, isnull, &itup, &list);
|
||||
GetNextTuple(buildstate->sortstate, tupdesc, slot, &itup, &list);
|
||||
}
|
||||
|
||||
insertPage = BufferGetBlockNumber(buf);
|
||||
@@ -315,9 +307,6 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
|
||||
/* Set the start and insert pages */
|
||||
IvfflatUpdateList(index, buildstate->listInfo[i], insertPage, InvalidBlockNumber, startPage, forkNum);
|
||||
}
|
||||
|
||||
pfree(values);
|
||||
pfree(isnull);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -368,11 +357,10 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
||||
errmsg("dimensions must be greater than one for this opclass")));
|
||||
|
||||
/* Create tuple description for sorting */
|
||||
buildstate->sortdesc = CreateTemplateTupleDesc(2 + buildstate->tupdesc->natts);
|
||||
buildstate->sortdesc = CreateTemplateTupleDesc(3);
|
||||
TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
|
||||
TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
|
||||
for (int i = 0; i < buildstate->tupdesc->natts; i++)
|
||||
TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) (3 + i), NULL, buildstate->tupdesc->attrs[i].atttypid, -1, 0);
|
||||
TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 3, "vector", buildstate->tupdesc->attrs[0].atttypid, -1, 0);
|
||||
|
||||
buildstate->slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsVirtual);
|
||||
|
||||
|
||||
@@ -17,13 +17,13 @@
|
||||
#endif
|
||||
|
||||
int ivfflat_probes;
|
||||
int ivfflat_iterative_search;
|
||||
int ivfflat_iterative_search_max_probes;
|
||||
int ivfflat_iterative_scan;
|
||||
int ivfflat_max_probes;
|
||||
static relopt_kind ivfflat_relopt_kind;
|
||||
|
||||
static const struct config_enum_entry ivfflat_iterative_search_options[] = {
|
||||
{"off", IVFFLAT_ITERATIVE_SEARCH_OFF, false},
|
||||
{"on", IVFFLAT_ITERATIVE_SEARCH_RELAXED, false},
|
||||
static const struct config_enum_entry ivfflat_iterative_scan_options[] = {
|
||||
{"off", IVFFLAT_ITERATIVE_SCAN_OFF, false},
|
||||
{"relaxed_order", IVFFLAT_ITERATIVE_SCAN_RELAXED, false},
|
||||
{NULL, 0, false}
|
||||
};
|
||||
|
||||
@@ -39,15 +39,16 @@ IvfflatInit(void)
|
||||
|
||||
DefineCustomIntVariable("ivfflat.probes", "Sets the number of probes",
|
||||
"Valid range is 1..lists.", &ivfflat_probes,
|
||||
IVFFLAT_DEFAULT_PROBES, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
IVFFLAT_DEFAULT_PROBES, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, GUC_EXPLAIN, NULL, NULL, NULL);
|
||||
|
||||
DefineCustomEnumVariable("ivfflat.iterative_search", "Sets whether to use iterative search",
|
||||
NULL, &ivfflat_iterative_search,
|
||||
IVFFLAT_ITERATIVE_SEARCH_OFF, ivfflat_iterative_search_options, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
DefineCustomEnumVariable("ivfflat.iterative_scan", "Sets the mode for iterative scans",
|
||||
NULL, &ivfflat_iterative_scan,
|
||||
IVFFLAT_ITERATIVE_SCAN_OFF, ivfflat_iterative_scan_options, PGC_USERSET, GUC_EXPLAIN, NULL, NULL, NULL);
|
||||
|
||||
DefineCustomIntVariable("ivfflat.iterative_search_max_probes", "Sets the max number of probes for iterative search",
|
||||
"Zero sets to the number of lists", &ivfflat_iterative_search_max_probes,
|
||||
0, 0, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
/* If this is less than probes, probes is used */
|
||||
DefineCustomIntVariable("ivfflat.max_probes", "Sets the max number of probes for iterative scans",
|
||||
NULL, &ivfflat_max_probes,
|
||||
IVFFLAT_MAX_LISTS, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, GUC_EXPLAIN, NULL, NULL, NULL);
|
||||
|
||||
MarkGUCPrefixReserved("ivfflat");
|
||||
}
|
||||
@@ -98,6 +99,10 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
*indexSelectivity = 0;
|
||||
*indexCorrelation = 0;
|
||||
*indexPages = 0;
|
||||
#if PG_VERSION_NUM >= 180000
|
||||
/* See "On disable_cost" thread on pgsql-hackers */
|
||||
path->path.disabled_nodes = 2;
|
||||
#endif
|
||||
return;
|
||||
}
|
||||
|
||||
|
||||
@@ -80,14 +80,14 @@
|
||||
|
||||
/* Variables */
|
||||
extern int ivfflat_probes;
|
||||
extern int ivfflat_iterative_search;
|
||||
extern int ivfflat_iterative_search_max_probes;
|
||||
extern int ivfflat_iterative_scan;
|
||||
extern int ivfflat_max_probes;
|
||||
|
||||
typedef enum IvfflatIterativeSearchType
|
||||
typedef enum IvfflatIterativeScanMode
|
||||
{
|
||||
IVFFLAT_ITERATIVE_SEARCH_OFF,
|
||||
IVFFLAT_ITERATIVE_SEARCH_RELAXED
|
||||
} IvfflatIterativeSearchType;
|
||||
IVFFLAT_ITERATIVE_SCAN_OFF,
|
||||
IVFFLAT_ITERATIVE_SCAN_RELAXED
|
||||
} IvfflatIterativeScanMode;
|
||||
|
||||
typedef struct VectorArrayData
|
||||
{
|
||||
@@ -260,6 +260,7 @@ typedef struct IvfflatScanOpaqueData
|
||||
int dimensions;
|
||||
bool first;
|
||||
Datum value;
|
||||
MemoryContext tmpCtx;
|
||||
|
||||
/* Sorting */
|
||||
Tuplesortstate *sortstate;
|
||||
@@ -278,7 +279,7 @@ typedef struct IvfflatScanOpaqueData
|
||||
pairingheap *listQueue;
|
||||
BlockNumber *listPages;
|
||||
int listIndex;
|
||||
IvfflatScanList lists[FLEXIBLE_ARRAY_MEMBER]; /* must come last */
|
||||
IvfflatScanList *lists;
|
||||
} IvfflatScanOpaqueData;
|
||||
|
||||
typedef IvfflatScanOpaqueData * IvfflatScanOpaque;
|
||||
|
||||
@@ -78,8 +78,6 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
||||
BlockNumber insertPage = InvalidBlockNumber;
|
||||
ListInfo listInfo;
|
||||
BlockNumber originalInsertPage;
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
Datum *newValues = palloc(tupdesc->natts * sizeof(Datum));
|
||||
|
||||
/* Detoast once for all calls */
|
||||
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
@@ -104,12 +102,8 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
||||
Assert(BlockNumberIsValid(insertPage));
|
||||
originalInsertPage = insertPage;
|
||||
|
||||
newValues[0] = value;
|
||||
for (int i = 1; i < tupdesc->natts; i++)
|
||||
newValues[i] = values[i];
|
||||
|
||||
/* Form tuple */
|
||||
itup = index_form_tuple(tupdesc, newValues, isnull);
|
||||
itup = index_form_tuple(RelationGetDescr(index), &value, isnull);
|
||||
itup->t_tid = *heap_tid;
|
||||
|
||||
/* Get tuple size */
|
||||
|
||||
@@ -10,10 +10,7 @@
|
||||
#include "miscadmin.h"
|
||||
#include "pgstat.h"
|
||||
#include "storage/bufmgr.h"
|
||||
|
||||
#ifdef IVFFLAT_MEMORY
|
||||
#include "utils/memutils.h"
|
||||
#endif
|
||||
|
||||
#define GetScanList(ptr) pairingheap_container(IvfflatScanList, ph_node, ptr)
|
||||
#define GetScanListConst(ptr) pairingheap_const_container(IvfflatScanList, ph_node, ptr)
|
||||
@@ -174,7 +171,7 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
}
|
||||
}
|
||||
|
||||
if (tuples < 100 && ivfflat_iterative_search == IVFFLAT_ITERATIVE_SEARCH_OFF)
|
||||
if (tuples < 100 && ivfflat_iterative_scan == IVFFLAT_ITERATIVE_SCAN_OFF)
|
||||
ereport(DEBUG1,
|
||||
(errmsg("index scan found few tuples"),
|
||||
errdetail("Index may have been created with little data."),
|
||||
@@ -221,7 +218,13 @@ GetScanValue(IndexScanDesc scan)
|
||||
|
||||
/* Normalize if needed */
|
||||
if (so->normprocinfo != NULL)
|
||||
{
|
||||
MemoryContext oldCtx = MemoryContextSwitchTo(so->tmpCtx);
|
||||
|
||||
value = IvfflatNormValue(so->typeInfo, so->collation, value);
|
||||
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
}
|
||||
}
|
||||
|
||||
return value;
|
||||
@@ -253,26 +256,25 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
int dimensions;
|
||||
int probes = ivfflat_probes;
|
||||
int maxProbes;
|
||||
MemoryContext oldCtx;
|
||||
|
||||
scan = RelationGetIndexScan(index, nkeys, norderbys);
|
||||
|
||||
/* Get lists and dimensions from metapage */
|
||||
IvfflatGetMetaPageInfo(index, &lists, &dimensions);
|
||||
|
||||
if (probes > lists)
|
||||
probes = lists;
|
||||
|
||||
if (ivfflat_iterative_search != IVFFLAT_ITERATIVE_SEARCH_OFF)
|
||||
{
|
||||
if (ivfflat_iterative_search_max_probes == 0)
|
||||
maxProbes = lists;
|
||||
else
|
||||
maxProbes = Min(ivfflat_iterative_search_max_probes, lists);
|
||||
}
|
||||
if (ivfflat_iterative_scan != IVFFLAT_ITERATIVE_SCAN_OFF)
|
||||
maxProbes = Max(ivfflat_max_probes, probes);
|
||||
else
|
||||
maxProbes = probes;
|
||||
|
||||
so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + maxProbes * sizeof(IvfflatScanList));
|
||||
if (probes > lists)
|
||||
probes = lists;
|
||||
|
||||
if (maxProbes > lists)
|
||||
maxProbes = lists;
|
||||
|
||||
so = (IvfflatScanOpaque) palloc(sizeof(IvfflatScanOpaqueData));
|
||||
so->typeInfo = IvfflatGetTypeInfo(index);
|
||||
so->first = true;
|
||||
so->probes = probes;
|
||||
@@ -284,6 +286,12 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
so->normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||
so->collation = index->rd_indcollation[0];
|
||||
|
||||
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Ivfflat scan temporary context",
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
|
||||
oldCtx = MemoryContextSwitchTo(so->tmpCtx);
|
||||
|
||||
/* Create tuple description for sorting */
|
||||
so->tupdesc = CreateTemplateTupleDesc(2);
|
||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
|
||||
@@ -306,6 +314,9 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
so->listQueue = pairingheap_allocate(CompareLists, scan);
|
||||
so->listPages = palloc(maxProbes * sizeof(BlockNumber));
|
||||
so->listIndex = 0;
|
||||
so->lists = palloc(maxProbes * sizeof(IvfflatScanList));
|
||||
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
scan->opaque = so;
|
||||
|
||||
@@ -368,8 +379,6 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
IvfflatBench("GetScanItems", GetScanItems(scan, value));
|
||||
so->first = false;
|
||||
so->value = value;
|
||||
|
||||
/* TODO clean up if we allocated a new value */
|
||||
}
|
||||
|
||||
while (!tuplesort_gettupleslot(so->sortstate, true, false, so->mslot, NULL))
|
||||
@@ -396,13 +405,10 @@ ivfflatendscan(IndexScanDesc scan)
|
||||
{
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
|
||||
pairingheap_free(so->listQueue);
|
||||
pfree(so->listPages);
|
||||
/* Free any temporary files */
|
||||
tuplesort_end(so->sortstate);
|
||||
FreeAccessStrategy(so->bas);
|
||||
FreeTupleDesc(so->tupdesc);
|
||||
|
||||
/* TODO Free vslot and mslot without freeing TupleDesc */
|
||||
MemoryContextDelete(so->tmpCtx);
|
||||
|
||||
pfree(so);
|
||||
scan->opaque = NULL;
|
||||
|
||||
@@ -99,6 +99,32 @@ SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::vector)) t2
|
||||
4
|
||||
(1 row)
|
||||
|
||||
DROP TABLE t;
|
||||
-- iterative
|
||||
CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops);
|
||||
SET hnsw.iterative_scan = strict_order;
|
||||
SET hnsw.ef_search = 1;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
[1,1,1]
|
||||
[0,0,0]
|
||||
(3 rows)
|
||||
|
||||
SET hnsw.iterative_scan = relaxed_order;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
[1,1,1]
|
||||
[0,0,0]
|
||||
(3 rows)
|
||||
|
||||
RESET hnsw.iterative_scan;
|
||||
RESET hnsw.ef_search;
|
||||
DROP TABLE t;
|
||||
-- unlogged
|
||||
CREATE UNLOGGED TABLE t (val vector(3));
|
||||
@@ -139,4 +165,29 @@ SET hnsw.ef_search = 0;
|
||||
ERROR: 0 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
|
||||
SET hnsw.ef_search = 1001;
|
||||
ERROR: 1001 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
|
||||
SHOW hnsw.iterative_scan;
|
||||
hnsw.iterative_scan
|
||||
---------------------
|
||||
off
|
||||
(1 row)
|
||||
|
||||
SET hnsw.iterative_scan = on;
|
||||
ERROR: invalid value for parameter "hnsw.iterative_scan": "on"
|
||||
HINT: Available values: off, relaxed_order, strict_order.
|
||||
SHOW hnsw.max_scan_tuples;
|
||||
hnsw.max_scan_tuples
|
||||
----------------------
|
||||
20000
|
||||
(1 row)
|
||||
|
||||
SET hnsw.max_scan_tuples = 0;
|
||||
ERROR: 0 is outside the valid range for parameter "hnsw.max_scan_tuples" (1 .. 2147483647)
|
||||
SHOW hnsw.scan_mem_multiplier;
|
||||
hnsw.scan_mem_multiplier
|
||||
--------------------------
|
||||
1
|
||||
(1 row)
|
||||
|
||||
SET hnsw.scan_mem_multiplier = 0;
|
||||
ERROR: 0 is outside the valid range for parameter "hnsw.scan_mem_multiplier" (1 .. 1000)
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -81,6 +81,37 @@ SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2
|
||||
3
|
||||
(1 row)
|
||||
|
||||
DROP TABLE t;
|
||||
-- iterative
|
||||
CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 3);
|
||||
SET ivfflat.iterative_scan = relaxed_order;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
[1,1,1]
|
||||
[0,0,0]
|
||||
(3 rows)
|
||||
|
||||
SET ivfflat.max_probes = 1;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
(1 row)
|
||||
|
||||
SET ivfflat.max_probes = 2;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
val
|
||||
---------
|
||||
[1,2,3]
|
||||
[1,1,1]
|
||||
(2 rows)
|
||||
|
||||
RESET ivfflat.iterative_scan;
|
||||
RESET ivfflat.max_probes;
|
||||
DROP TABLE t;
|
||||
-- unlogged
|
||||
CREATE UNLOGGED TABLE t (val vector(3));
|
||||
@@ -109,4 +140,27 @@ SHOW ivfflat.probes;
|
||||
1
|
||||
(1 row)
|
||||
|
||||
SET ivfflat.probes = 0;
|
||||
ERROR: 0 is outside the valid range for parameter "ivfflat.probes" (1 .. 32768)
|
||||
SET ivfflat.probes = 32769;
|
||||
ERROR: 32769 is outside the valid range for parameter "ivfflat.probes" (1 .. 32768)
|
||||
SHOW ivfflat.iterative_scan;
|
||||
ivfflat.iterative_scan
|
||||
------------------------
|
||||
off
|
||||
(1 row)
|
||||
|
||||
SET ivfflat.iterative_scan = on;
|
||||
ERROR: invalid value for parameter "ivfflat.iterative_scan": "on"
|
||||
HINT: Available values: off, relaxed_order.
|
||||
SHOW ivfflat.max_probes;
|
||||
ivfflat.max_probes
|
||||
--------------------
|
||||
32768
|
||||
(1 row)
|
||||
|
||||
SET ivfflat.max_probes = 0;
|
||||
ERROR: 0 is outside the valid range for parameter "ivfflat.max_probes" (1 .. 32768)
|
||||
SET ivfflat.max_probes = 32769;
|
||||
ERROR: 32769 is outside the valid range for parameter "ivfflat.max_probes" (1 .. 32768)
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -57,6 +57,23 @@ SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::vector)) t2
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
-- iterative
|
||||
|
||||
CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING hnsw (val vector_l2_ops);
|
||||
|
||||
SET hnsw.iterative_scan = strict_order;
|
||||
SET hnsw.ef_search = 1;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
SET hnsw.iterative_scan = relaxed_order;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
RESET hnsw.iterative_scan;
|
||||
RESET hnsw.ef_search;
|
||||
DROP TABLE t;
|
||||
|
||||
-- unlogged
|
||||
|
||||
CREATE UNLOGGED TABLE t (val vector(3));
|
||||
@@ -81,4 +98,16 @@ SHOW hnsw.ef_search;
|
||||
SET hnsw.ef_search = 0;
|
||||
SET hnsw.ef_search = 1001;
|
||||
|
||||
SHOW hnsw.iterative_scan;
|
||||
|
||||
SET hnsw.iterative_scan = on;
|
||||
|
||||
SHOW hnsw.max_scan_tuples;
|
||||
|
||||
SET hnsw.max_scan_tuples = 0;
|
||||
|
||||
SHOW hnsw.scan_mem_multiplier;
|
||||
|
||||
SET hnsw.scan_mem_multiplier = 0;
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -44,6 +44,25 @@ SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
-- iterative
|
||||
|
||||
CREATE TABLE t (val vector(3));
|
||||
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 3);
|
||||
|
||||
SET ivfflat.iterative_scan = relaxed_order;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
SET ivfflat.max_probes = 1;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
SET ivfflat.max_probes = 2;
|
||||
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||
|
||||
RESET ivfflat.iterative_scan;
|
||||
RESET ivfflat.max_probes;
|
||||
DROP TABLE t;
|
||||
|
||||
-- unlogged
|
||||
|
||||
CREATE UNLOGGED TABLE t (val vector(3));
|
||||
@@ -62,4 +81,16 @@ CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 32769);
|
||||
|
||||
SHOW ivfflat.probes;
|
||||
|
||||
SET ivfflat.probes = 0;
|
||||
SET ivfflat.probes = 32769;
|
||||
|
||||
SHOW ivfflat.iterative_scan;
|
||||
|
||||
SET ivfflat.iterative_scan = on;
|
||||
|
||||
SHOW ivfflat.max_probes;
|
||||
|
||||
SET ivfflat.max_probes = 0;
|
||||
SET ivfflat.max_probes = 32769;
|
||||
|
||||
DROP TABLE t;
|
||||
|
||||
@@ -23,7 +23,7 @@ $node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops
|
||||
my $count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = 10;
|
||||
SET ivfflat.iterative_search = on;
|
||||
SET ivfflat.iterative_scan = relaxed_order;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||
));
|
||||
is($count, 10);
|
||||
@@ -39,8 +39,8 @@ foreach ((30, 50, 70))
|
||||
$count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = 10;
|
||||
SET ivfflat.iterative_search = on;
|
||||
SET ivfflat.iterative_search_max_probes = $max_probes;
|
||||
SET ivfflat.iterative_scan = relaxed_order;
|
||||
SET ivfflat.max_probes = $max_probes;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst WHERE i = $i) LIMIT 11) t;
|
||||
));
|
||||
$sum += $count;
|
||||
@@ -19,7 +19,7 @@ sub test_recall
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = $probes;
|
||||
SET ivfflat.iterative_search = on;
|
||||
SET ivfflat.iterative_scan = relaxed_order;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx on tst/);
|
||||
@@ -29,7 +29,7 @@ sub test_recall
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = $probes;
|
||||
SET ivfflat.iterative_search = on;
|
||||
SET ivfflat.iterative_scan = relaxed_order;
|
||||
SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
my @actual_ids = split("\n", $actual);
|
||||
@@ -48,7 +48,7 @@ sub test_recall
|
||||
$total += $limit;
|
||||
}
|
||||
|
||||
cmp_ok($correct / $total, ">=", $min, $operator);
|
||||
cmp_ok($correct / $total, ">=", $min, "$operator $c");
|
||||
}
|
||||
|
||||
# Initialize node
|
||||
@@ -103,7 +103,7 @@ for my $i (0 .. $#operators)
|
||||
|
||||
if ($c == 100)
|
||||
{
|
||||
test_recall($c, 1, 0.58, $operator);
|
||||
test_recall($c, 1, 0.57, $operator);
|
||||
test_recall($c, 10, 0.98, $operator);
|
||||
}
|
||||
else
|
||||
@@ -26,8 +26,9 @@ $node->safe_psql("postgres", qq(
|
||||
|
||||
my $count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.iterative_search = on;
|
||||
SET work_mem = '8MB';
|
||||
SET hnsw.iterative_scan = relaxed_order;
|
||||
SET hnsw.max_scan_tuples = 100000;
|
||||
SET hnsw.scan_mem_multiplier = 2;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||
));
|
||||
is($count, 10);
|
||||
@@ -42,9 +43,9 @@ foreach ((30000, 50000, 70000))
|
||||
{
|
||||
$count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.iterative_search = on;
|
||||
SET hnsw.iterative_search_max_tuples = $max_tuples;
|
||||
SET work_mem = '8MB';
|
||||
SET hnsw.iterative_scan = relaxed_order;
|
||||
SET hnsw.max_scan_tuples = $max_tuples;
|
||||
SET hnsw.scan_mem_multiplier = 2;
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst WHERE i = $i) LIMIT 11) t;
|
||||
));
|
||||
$sum += $count;
|
||||
@@ -57,11 +58,11 @@ foreach ((30000, 50000, 70000))
|
||||
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.iterative_search = on;
|
||||
SET hnsw.iterative_scan = relaxed_order;
|
||||
SET client_min_messages = debug1;
|
||||
SET work_mem = '2MB';
|
||||
SET work_mem = '1MB';
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||
));
|
||||
like($stderr, qr/hnsw index scan exceeded work_mem after \d+ tuples/);
|
||||
like($stderr, qr/hnsw index scan reached memory limit after \d+ tuples/);
|
||||
|
||||
done_testing();
|
||||
@@ -10,18 +10,18 @@ my @expected;
|
||||
my $limit = 20;
|
||||
my $dim = 3;
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
my @cs = (100, 1000);
|
||||
my @cs = (50, 500);
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($c, $ef_search, $min, $operator) = @_;
|
||||
my ($c, $ef_search, $min, $operator, $mode) = @_;
|
||||
my $correct = 0;
|
||||
my $total = 0;
|
||||
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = $ef_search;
|
||||
SET hnsw.iterative_search = on;
|
||||
SET hnsw.iterative_scan = $mode;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx on tst/);
|
||||
@@ -31,7 +31,7 @@ sub test_recall
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = $ef_search;
|
||||
SET hnsw.iterative_search = on;
|
||||
SET hnsw.iterative_scan = $mode;
|
||||
SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
my @actual_ids = split("\n", $actual);
|
||||
@@ -50,7 +50,7 @@ sub test_recall
|
||||
$total += $limit;
|
||||
}
|
||||
|
||||
cmp_ok($correct / $total, ">=", $min, $operator);
|
||||
cmp_ok($correct / $total, ">=", $min, "$operator $mode $c");
|
||||
}
|
||||
|
||||
# Initialize node
|
||||
@@ -62,7 +62,7 @@ $node->start;
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 50000) i;"
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
@@ -108,21 +108,8 @@ for my $i (0 .. $#operators)
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
if ($c == 100)
|
||||
{
|
||||
test_recall($c, 40, 0.99, $operator);
|
||||
}
|
||||
else
|
||||
{
|
||||
if ($operator eq "<->")
|
||||
{
|
||||
test_recall($c, 40, 0.99, $operator);
|
||||
}
|
||||
else
|
||||
{
|
||||
test_recall($c, 40, 0.99, $operator);
|
||||
}
|
||||
}
|
||||
test_recall($c, 40, 0.99, $operator, "strict_order");
|
||||
test_recall($c, 40, 0.99, $operator, "relaxed_order");
|
||||
}
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
@@ -1,113 +0,0 @@
|
||||
use strict;
|
||||
use warnings FATAL => 'all';
|
||||
use PostgreSQL::Test::Cluster;
|
||||
use PostgreSQL::Test::Utils;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @cs = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
my $dim = 3;
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
my $nc = 1000;
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($min, $operator) = @_;
|
||||
my $correct = 0;
|
||||
my $total = 0;
|
||||
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $cs[0] ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond/);
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SELECT i FROM tst WHERE c = $cs[$i] ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
my @actual_ids = split("\n", $actual);
|
||||
my %actual_set = map { $_ => 1 } @actual_ids;
|
||||
|
||||
is(scalar(@actual_ids), $limit);
|
||||
|
||||
my @expected_ids = split("\n", $expected[$i]);
|
||||
|
||||
foreach (@expected_ids)
|
||||
{
|
||||
if (exists($actual_set{$_}))
|
||||
{
|
||||
$correct++;
|
||||
}
|
||||
$total++;
|
||||
}
|
||||
}
|
||||
|
||||
cmp_ok($correct / $total, ">=", $min, $operator);
|
||||
}
|
||||
|
||||
# Initialize node
|
||||
$node = PostgreSQL::Test::Cluster->new('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int4);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc FROM generate_series(1, 20000) i;"
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for (1 .. 20)
|
||||
{
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
push(@queries, "[" . join(",", @r) . "]");
|
||||
push(@cs, int(rand() * $nc));
|
||||
}
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", "SELECT i FROM tst WHERE c = $cs[$i] ORDER BY v <=> '$queries[$i]' LIMIT $limit;");
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", qq(
|
||||
SET maintenance_work_mem = '256MB';
|
||||
SET max_parallel_maintenance_workers = 2;
|
||||
CREATE INDEX ON tst USING hnsw (v vector_cosine_ops, c);
|
||||
));
|
||||
|
||||
# Test recall
|
||||
test_recall(0.99, '<=>');
|
||||
|
||||
# Test vacuum
|
||||
$node->safe_psql("postgres", "DELETE FROM tst WHERE c > 5;");
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
|
||||
# Test columns
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (c);");
|
||||
like($stderr, qr/first column must be a vector/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (c, v vector_cosine_ops);");
|
||||
like($stderr, qr/first column must be a vector/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_cosine_ops, c, c);");
|
||||
like($stderr, qr/index cannot have more than two columns/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING hnsw (v vector_cosine_ops, v vector_cosine_ops);");
|
||||
like($stderr, qr/column 2 cannot be a vector/);
|
||||
|
||||
done_testing();
|
||||
Reference in New Issue
Block a user