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ivfflat-fi
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hnsw-strea
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af1727775d |
@@ -1,9 +1,6 @@
|
||||
## 0.8.0 (unreleased)
|
||||
|
||||
- Added support for inline filtering with IVFFlat
|
||||
- Added casts for arrays to `sparsevec`
|
||||
- Improved cost estimation
|
||||
- Improved performance of HNSW inserts and on-disk index builds
|
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- Reduced memory usage for HNSW index scans
|
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- Dropped support for Postgres 12
|
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@@ -1,4 +1,4 @@
|
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ARG PG_MAJOR=17
|
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ARG PG_MAJOR=16
|
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FROM postgres:$PG_MAJOR
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||||
ARG PG_MAJOR
|
||||
|
||||
|
||||
2
Makefile
2
Makefile
@@ -66,7 +66,7 @@ dist:
|
||||
git archive --format zip --prefix=$(EXTENSION)-$(EXTVERSION)/ --output dist/$(EXTENSION)-$(EXTVERSION).zip master
|
||||
|
||||
# for Docker
|
||||
PG_MAJOR ?= 17
|
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PG_MAJOR ?= 16
|
||||
|
||||
.PHONY: docker
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||||
|
||||
|
||||
44
README.md
44
README.md
@@ -52,8 +52,6 @@ nmake /F Makefile.win
|
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nmake /F Makefile.win install
|
||||
```
|
||||
|
||||
Note: Postgres 17 is not supported yet due to an upstream issue
|
||||
|
||||
See the [installation notes](#installation-notes---windows) if you run into issues
|
||||
|
||||
You can also install it with [Docker](#docker) or [conda-forge](#conda-forge).
|
||||
@@ -102,8 +100,6 @@ Or add a vector column to an existing table
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ALTER TABLE items ADD COLUMN embedding vector(3);
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```
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|
||||
Also supports [half-precision](#half-precision-vectors), [binary](#binary-vectors), and [sparse](#sparse-vectors) vectors
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|
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Insert vectors
|
||||
|
||||
```sql
|
||||
@@ -149,8 +145,6 @@ Supported distance functions are:
|
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- `<#>` - (negative) inner product
|
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- `<=>` - cosine distance
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- `<+>` - L1 distance (added in 0.7.0)
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- `<~>` - Hamming distance (binary vectors, added in 0.7.0)
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- `<%>` - Jaccard distance (binary vectors, added in 0.7.0)
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|
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Get the nearest neighbors to a row
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|
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@@ -439,12 +433,6 @@ Create an index on one [or more](https://www.postgresql.org/docs/current/indexes
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CREATE INDEX ON items (category_id);
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```
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|
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Or a composite IVFFlat index for approximate search (added in 0.8.0)
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|
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```sql
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CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops, category_id) WITH (lists = 100);
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```
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Or a [partial index](https://www.postgresql.org/docs/current/indexes-partial.html) on the vector column for approximate search
|
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|
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```sql
|
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@@ -995,7 +983,7 @@ l2_normalize(sparsevec) → sparsevec | Normalize with Euclidean norm | 0.7.0
|
||||
If your machine has multiple Postgres installations, specify the path to [pg_config](https://www.postgresql.org/docs/current/app-pgconfig.html) with:
|
||||
|
||||
```sh
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export PG_CONFIG=/Library/PostgreSQL/17/bin/pg_config
|
||||
export PG_CONFIG=/Library/PostgreSQL/16/bin/pg_config
|
||||
```
|
||||
|
||||
Then re-run the installation instructions (run `make clean` before `make` if needed). If `sudo` is needed for `make install`, use:
|
||||
@@ -1006,11 +994,11 @@ sudo --preserve-env=PG_CONFIG make install
|
||||
|
||||
A few common paths on Mac are:
|
||||
|
||||
- EDB installer - `/Library/PostgreSQL/17/bin/pg_config`
|
||||
- Homebrew (arm64) - `/opt/homebrew/opt/postgresql@17/bin/pg_config`
|
||||
- Homebrew (x86-64) - `/usr/local/opt/postgresql@17/bin/pg_config`
|
||||
- EDB installer - `/Library/PostgreSQL/16/bin/pg_config`
|
||||
- Homebrew (arm64) - `/opt/homebrew/opt/postgresql@16/bin/pg_config`
|
||||
- Homebrew (x86-64) - `/usr/local/opt/postgresql@16/bin/pg_config`
|
||||
|
||||
Note: Replace `17` with your Postgres server version
|
||||
Note: Replace `16` with your Postgres server version
|
||||
|
||||
### Missing Header
|
||||
|
||||
@@ -1019,10 +1007,10 @@ If compilation fails with `fatal error: postgres.h: No such file or directory`,
|
||||
For Ubuntu and Debian, use:
|
||||
|
||||
```sh
|
||||
sudo apt install postgresql-server-dev-17
|
||||
sudo apt install postgresql-server-dev-16
|
||||
```
|
||||
|
||||
Note: Replace `17` with your Postgres server version
|
||||
Note: Replace `16` with your Postgres server version
|
||||
|
||||
### Missing SDK
|
||||
|
||||
@@ -1055,17 +1043,17 @@ If installation fails with `Access is denied`, re-run the installation instructi
|
||||
Get the [Docker image](https://hub.docker.com/r/pgvector/pgvector) with:
|
||||
|
||||
```sh
|
||||
docker pull pgvector/pgvector:pg17
|
||||
docker pull pgvector/pgvector:pg16
|
||||
```
|
||||
|
||||
This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (replace `17` with your Postgres server version, and run it the same way).
|
||||
This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (replace `16` with your Postgres server version, and run it the same way).
|
||||
|
||||
You can also build the image manually:
|
||||
|
||||
```sh
|
||||
git clone --branch v0.7.4 https://github.com/pgvector/pgvector.git
|
||||
cd pgvector
|
||||
docker build --pull --build-arg PG_MAJOR=17 -t myuser/pgvector .
|
||||
docker build --pull --build-arg PG_MAJOR=16 -t myuser/pgvector .
|
||||
```
|
||||
|
||||
### Homebrew
|
||||
@@ -1076,7 +1064,7 @@ With Homebrew Postgres, you can use:
|
||||
brew install pgvector
|
||||
```
|
||||
|
||||
Note: This only adds it to the `postgresql@17` and `postgresql@14` formulas
|
||||
Note: This only adds it to the `postgresql@14` formula
|
||||
|
||||
### PGXN
|
||||
|
||||
@@ -1091,22 +1079,22 @@ pgxn install vector
|
||||
Debian and Ubuntu packages are available from the [PostgreSQL APT Repository](https://wiki.postgresql.org/wiki/Apt). Follow the [setup instructions](https://wiki.postgresql.org/wiki/Apt#Quickstart) and run:
|
||||
|
||||
```sh
|
||||
sudo apt install postgresql-17-pgvector
|
||||
sudo apt install postgresql-16-pgvector
|
||||
```
|
||||
|
||||
Note: Replace `17` with your Postgres server version
|
||||
Note: Replace `16` with your Postgres server version
|
||||
|
||||
### Yum
|
||||
|
||||
RPM packages are available from the [PostgreSQL Yum Repository](https://yum.postgresql.org/). Follow the [setup instructions](https://www.postgresql.org/download/linux/redhat/) for your distribution and run:
|
||||
|
||||
```sh
|
||||
sudo yum install pgvector_17
|
||||
sudo yum install pgvector_16
|
||||
# or
|
||||
sudo dnf install pgvector_17
|
||||
sudo dnf install pgvector_16
|
||||
```
|
||||
|
||||
Note: Replace `17` with your Postgres server version
|
||||
Note: Replace `16` with your Postgres server version
|
||||
|
||||
### pkg
|
||||
|
||||
|
||||
@@ -24,5 +24,3 @@ CREATE CAST (double precision[] AS sparsevec)
|
||||
|
||||
CREATE CAST (numeric[] AS sparsevec)
|
||||
WITH FUNCTION array_to_sparsevec(numeric[], integer, boolean) AS ASSIGNMENT;
|
||||
|
||||
-- TODO add ivfflat attributes
|
||||
|
||||
@@ -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);
|
||||
|
||||
-- ivfflat attributes
|
||||
|
||||
CREATE OPERATOR CLASS vector_integer_ops
|
||||
DEFAULT FOR TYPE integer USING ivfflat AS
|
||||
OPERATOR 2 < ,
|
||||
OPERATOR 3 <= ,
|
||||
OPERATOR 4 = ,
|
||||
OPERATOR 5 >= ,
|
||||
OPERATOR 6 > ;
|
||||
|
||||
@@ -159,6 +159,24 @@ CheckStateArray(ArrayType *statearray, const char *caller)
|
||||
return (float8 *) ARR_DATA_PTR(statearray);
|
||||
}
|
||||
|
||||
#if PG_VERSION_NUM < 120003
|
||||
static pg_noinline void
|
||||
float_overflow_error(void)
|
||||
{
|
||||
ereport(ERROR,
|
||||
(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
|
||||
errmsg("value out of range: overflow")));
|
||||
}
|
||||
|
||||
static pg_noinline void
|
||||
float_underflow_error(void)
|
||||
{
|
||||
ereport(ERROR,
|
||||
(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
|
||||
errmsg("value out of range: underflow")));
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Convert textual representation to internal representation
|
||||
*/
|
||||
|
||||
79
src/hnsw.c
79
src/hnsw.c
@@ -12,13 +12,13 @@
|
||||
#include "utils/float.h"
|
||||
#include "utils/guc.h"
|
||||
#include "utils/selfuncs.h"
|
||||
#include "utils/spccache.h"
|
||||
|
||||
#if PG_VERSION_NUM < 150000
|
||||
#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
|
||||
#endif
|
||||
|
||||
int hnsw_ef_search;
|
||||
bool hnsw_streaming;
|
||||
int hnsw_lock_tranche_id;
|
||||
static relopt_kind hnsw_relopt_kind;
|
||||
|
||||
@@ -69,6 +69,13 @@ HnswInit(void)
|
||||
"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);
|
||||
|
||||
/* TODO Figure out name */
|
||||
DefineCustomBoolVariable("hnsw.streaming", "Use streaming mode",
|
||||
NULL, &hnsw_streaming,
|
||||
HNSW_DEFAULT_STREAMING, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||
|
||||
/* TODO Add option for limiting iterative search */
|
||||
|
||||
MarkGUCPrefixReserved("hnsw");
|
||||
}
|
||||
|
||||
@@ -100,9 +107,7 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
{
|
||||
GenericCosts costs;
|
||||
int m;
|
||||
double ratio;
|
||||
double startupPages;
|
||||
double spc_seq_page_cost;
|
||||
int entryLevel;
|
||||
Relation index;
|
||||
|
||||
/* Never use index without order */
|
||||
@@ -118,71 +123,23 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
|
||||
MemSet(&costs, 0, sizeof(costs));
|
||||
|
||||
genericcostestimate(root, path, loop_count, &costs);
|
||||
|
||||
index = index_open(path->indexinfo->indexoid, NoLock);
|
||||
HnswGetMetaPageInfo(index, &m, NULL);
|
||||
index_close(index, NoLock);
|
||||
|
||||
/*
|
||||
* HNSW cost estimation follows a formula that accounts for the total
|
||||
* number of tuples indexed combined with the parameters that most
|
||||
* influence the duration of the index scan, namely: m - the number of
|
||||
* tuples that are scanned in each step of the HNSW graph traversal
|
||||
* ef_search - which influences the total number of steps taken at layer 0
|
||||
*
|
||||
* The source of the vector data can impact how many steps it takes to
|
||||
* converge on the set of vectors to return to the executor. Currently, we
|
||||
* use a hardcoded scaling factor (HNSWScanScalingFactor) to help
|
||||
* influence that, but this could later become a configurable parameter
|
||||
* based on the cost estimations.
|
||||
*
|
||||
* The tuple estimator formula is below:
|
||||
*
|
||||
* numIndexTuples = entryLevel * m + layer0TuplesMax * layer0Selectivity
|
||||
*
|
||||
* "entryLevel * m" represents the floor of tuples we need to scan to get
|
||||
* to layer 0 (L0).
|
||||
*
|
||||
* "layer0TuplesMax" is the estimated total number of tuples we'd scan at
|
||||
* L0 if we weren't discarding already visited tuples as part of the scan.
|
||||
*
|
||||
* "layer0Selectivity" estimates the percentage of tuples that are scanned
|
||||
* at L0, accounting for previously visited tuples, multiplied by the
|
||||
* "scalingFactor" (currently hardcoded).
|
||||
*/
|
||||
if (path->indexinfo->tuples > 0)
|
||||
{
|
||||
double scalingFactor = 0.55;
|
||||
int entryLevel = (int) (log(path->indexinfo->tuples) * HnswGetMl(m));
|
||||
int layer0TuplesMax = HnswGetLayerM(m, 0) * hnsw_ef_search;
|
||||
double layer0Selectivity = scalingFactor * log(path->indexinfo->tuples) / (log(m) * (1 + log(hnsw_ef_search)));
|
||||
/* Approximate entry level */
|
||||
entryLevel = (int) -log(1.0 / path->indexinfo->tuples) * HnswGetMl(m);
|
||||
|
||||
ratio = (entryLevel * m + layer0TuplesMax * layer0Selectivity) / path->indexinfo->tuples;
|
||||
/* TODO Improve estimate of visited tuples (currently underestimates) */
|
||||
/* Account for number of tuples (or entry level), m, and ef_search */
|
||||
costs.numIndexTuples = (entryLevel + 2) * m;
|
||||
|
||||
if (ratio > 1)
|
||||
ratio = 1;
|
||||
}
|
||||
else
|
||||
ratio = 1;
|
||||
/* TODO Adjust for selectivity for iterative scans */
|
||||
|
||||
get_tablespace_page_costs(path->indexinfo->reltablespace, NULL, &spc_seq_page_cost);
|
||||
genericcostestimate(root, path, loop_count, &costs);
|
||||
|
||||
/* Startup cost is cost before returning the first row */
|
||||
costs.indexStartupCost = costs.indexTotalCost * ratio;
|
||||
|
||||
/* Adjust cost if needed since TOAST not included in seq scan cost */
|
||||
startupPages = costs.numIndexPages * ratio;
|
||||
if (startupPages > path->indexinfo->rel->pages && ratio < 0.5)
|
||||
{
|
||||
/* Change all page cost from random to sequential */
|
||||
costs.indexStartupCost -= startupPages * (costs.spc_random_page_cost - spc_seq_page_cost);
|
||||
|
||||
/* Remove cost of extra pages */
|
||||
costs.indexStartupCost -= (startupPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
|
||||
}
|
||||
|
||||
*indexStartupCost = costs.indexStartupCost;
|
||||
/* Use total cost since most work happens before first tuple is returned */
|
||||
*indexStartupCost = costs.indexTotalCost;
|
||||
*indexTotalCost = costs.indexTotalCost;
|
||||
*indexSelectivity = costs.indexSelectivity;
|
||||
*indexCorrelation = costs.indexCorrelation;
|
||||
|
||||
95
src/hnsw.h
95
src/hnsw.h
@@ -12,6 +12,10 @@
|
||||
#include "utils/sampling.h"
|
||||
#include "vector.h"
|
||||
|
||||
#ifdef HNSW_BENCH
|
||||
#include "portability/instr_time.h"
|
||||
#endif
|
||||
|
||||
#define HNSW_MAX_DIM 2000
|
||||
#define HNSW_MAX_NNZ 1000
|
||||
|
||||
@@ -42,6 +46,7 @@
|
||||
#define HNSW_DEFAULT_EF_SEARCH 40
|
||||
#define HNSW_MIN_EF_SEARCH 1
|
||||
#define HNSW_MAX_EF_SEARCH 1000
|
||||
#define HNSW_DEFAULT_STREAMING false
|
||||
|
||||
/* Tuple types */
|
||||
#define HNSW_ELEMENT_TUPLE_TYPE 1
|
||||
@@ -68,6 +73,21 @@
|
||||
#define HnswPageGetOpaque(page) ((HnswPageOpaque) PageGetSpecialPointer(page))
|
||||
#define HnswPageGetMeta(page) ((HnswMetaPageData *) PageGetContents(page))
|
||||
|
||||
#ifdef HNSW_BENCH
|
||||
#define HnswBench(name, code) \
|
||||
do { \
|
||||
instr_time start; \
|
||||
instr_time duration; \
|
||||
INSTR_TIME_SET_CURRENT(start); \
|
||||
(code); \
|
||||
INSTR_TIME_SET_CURRENT(duration); \
|
||||
INSTR_TIME_SUBTRACT(duration, start); \
|
||||
elog(INFO, "%s: %.3f ms", name, INSTR_TIME_GET_MILLISEC(duration)); \
|
||||
} while (0)
|
||||
#else
|
||||
#define HnswBench(name, code) (code)
|
||||
#endif
|
||||
|
||||
#if PG_VERSION_NUM >= 150000
|
||||
#define RandomDouble() pg_prng_double(&pg_global_prng_state)
|
||||
#define SeedRandom(seed) pg_prng_seed(&pg_global_prng_state, seed)
|
||||
@@ -88,9 +108,6 @@
|
||||
/* Ensure fits on page and in uint8 */
|
||||
#define HnswGetMaxLevel(m) Min(((BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - offsetof(HnswNeighborTupleData, indextids) - sizeof(ItemIdData)) / (sizeof(ItemPointerData)) / (m)) - 2, 255)
|
||||
|
||||
#define HnswGetSearchCandidate(membername, ptr) pairingheap_container(HnswSearchCandidate, membername, ptr)
|
||||
#define HnswGetSearchCandidateConst(membername, ptr) pairingheap_const_container(HnswSearchCandidate, membername, ptr)
|
||||
|
||||
#define HnswGetValue(base, element) PointerGetDatum(HnswPtrAccess(base, (element)->value))
|
||||
|
||||
#if PG_VERSION_NUM < 140005
|
||||
@@ -109,6 +126,7 @@
|
||||
|
||||
/* Variables */
|
||||
extern int hnsw_ef_search;
|
||||
extern bool hnsw_streaming;
|
||||
extern int hnsw_lock_tranche_id;
|
||||
|
||||
typedef struct HnswElementData HnswElementData;
|
||||
@@ -132,6 +150,7 @@ struct HnswElementData
|
||||
uint8 heaptidsLength;
|
||||
uint8 level;
|
||||
uint8 deleted;
|
||||
uint8 version;
|
||||
uint32 hash;
|
||||
HnswNeighborsPtr neighbors;
|
||||
BlockNumber blkno;
|
||||
@@ -163,9 +182,12 @@ typedef struct HnswSearchCandidate
|
||||
pairingheap_node c_node;
|
||||
pairingheap_node w_node;
|
||||
HnswElementPtr element;
|
||||
double distance;
|
||||
float distance;
|
||||
} HnswSearchCandidate;
|
||||
|
||||
#define HnswGetSearchCandidate(membername, ptr) pairingheap_container(HnswSearchCandidate, membername, ptr)
|
||||
#define HnswGetSearchCandidateConst(membername, ptr) pairingheap_const_container(HnswSearchCandidate, membername, ptr)
|
||||
|
||||
/* HNSW index options */
|
||||
typedef struct HnswOptions
|
||||
{
|
||||
@@ -188,8 +210,8 @@ typedef struct HnswGraph
|
||||
|
||||
/* Allocations state */
|
||||
LWLock allocatorLock;
|
||||
Size memoryUsed;
|
||||
Size memoryTotal;
|
||||
long memoryUsed;
|
||||
long memoryTotal;
|
||||
|
||||
/* Flushed state */
|
||||
LWLock flushLock;
|
||||
@@ -240,18 +262,6 @@ typedef struct HnswTypeInfo
|
||||
void (*checkValue) (Pointer v);
|
||||
} HnswTypeInfo;
|
||||
|
||||
typedef struct HnswSupport
|
||||
{
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation;
|
||||
} HnswSupport;
|
||||
|
||||
typedef struct HnswQuery
|
||||
{
|
||||
Datum value;
|
||||
} HnswQuery;
|
||||
|
||||
typedef struct HnswBuildState
|
||||
{
|
||||
/* Info */
|
||||
@@ -271,7 +281,9 @@ typedef struct HnswBuildState
|
||||
double reltuples;
|
||||
|
||||
/* Support functions */
|
||||
HnswSupport support;
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
HnswGraph graphData;
|
||||
@@ -319,10 +331,10 @@ typedef struct HnswElementTupleData
|
||||
uint8 type;
|
||||
uint8 level;
|
||||
uint8 deleted;
|
||||
uint8 unused;
|
||||
uint8 version;
|
||||
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
||||
ItemPointerData neighbortid;
|
||||
uint16 unused2;
|
||||
uint16 unused;
|
||||
Vector data;
|
||||
} HnswElementTupleData;
|
||||
|
||||
@@ -331,7 +343,7 @@ typedef HnswElementTupleData * HnswElementTuple;
|
||||
typedef struct HnswNeighborTupleData
|
||||
{
|
||||
uint8 type;
|
||||
uint8 unused;
|
||||
uint8 version;
|
||||
uint16 count;
|
||||
ItemPointerData indextids[FLEXIBLE_ARRAY_MEMBER];
|
||||
} HnswNeighborTupleData;
|
||||
@@ -345,21 +357,22 @@ typedef union
|
||||
struct tidhash_hash *tids;
|
||||
} visited_hash;
|
||||
|
||||
typedef union
|
||||
{
|
||||
HnswElement element;
|
||||
ItemPointerData indextid;
|
||||
} HnswUnvisited;
|
||||
|
||||
typedef struct HnswScanOpaqueData
|
||||
{
|
||||
const HnswTypeInfo *typeInfo;
|
||||
bool first;
|
||||
List *w;
|
||||
visited_hash v;
|
||||
pairingheap *discarded;
|
||||
Datum q;
|
||||
int m;
|
||||
int64 tuples;
|
||||
MemoryContext tmpCtx;
|
||||
|
||||
/* Support functions */
|
||||
HnswSupport support;
|
||||
FmgrInfo *procinfo;
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation;
|
||||
} HnswScanOpaqueData;
|
||||
|
||||
typedef HnswScanOpaqueData * HnswScanOpaque;
|
||||
@@ -377,7 +390,8 @@ typedef struct HnswVacuumState
|
||||
int efConstruction;
|
||||
|
||||
/* Support functions */
|
||||
HnswSupport support;
|
||||
FmgrInfo *procinfo;
|
||||
Oid collation;
|
||||
|
||||
/* Variables */
|
||||
struct tidhash_hash *deleted;
|
||||
@@ -393,33 +407,30 @@ typedef struct HnswVacuumState
|
||||
int HnswGetM(Relation index);
|
||||
int HnswGetEfConstruction(Relation index);
|
||||
FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
|
||||
void HnswInitSupport(HnswSupport * support, Relation index);
|
||||
Datum HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value);
|
||||
bool HnswCheckNorm(HnswSupport * support, Datum value);
|
||||
bool HnswCheckNorm(FmgrInfo *procinfo, Oid collation, 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);
|
||||
List *HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited);
|
||||
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);
|
||||
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, HnswQuery * q, Relation rel, HnswSupport * support, bool loadVec);
|
||||
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing);
|
||||
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, 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, Datum value, ItemPointer heaptid, bool building);
|
||||
void HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e, int m, bool checkExisting, bool building);
|
||||
bool HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull, ItemPointer heap_tid, bool building);
|
||||
void HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building);
|
||||
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 HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec, float *maxDistance);
|
||||
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 HnswLoadNeighborTids(HnswElement element, ItemPointerData *indextids, Relation index, int m, int lm, int lc);
|
||||
void HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
|
||||
void HnswLoadNeighbors(HnswElement element, Relation index, int m);
|
||||
void HnswInitLockTranche(void);
|
||||
const HnswTypeInfo *HnswGetTypeInfo(Relation index);
|
||||
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
|
||||
|
||||
@@ -366,7 +366,7 @@ AddElementInMemory(char *base, HnswGraph * graph, HnswElement element)
|
||||
* Update neighbors
|
||||
*/
|
||||
static void
|
||||
UpdateNeighborsInMemory(char *base, HnswSupport * support, HnswElement e, int m)
|
||||
UpdateNeighborsInMemory(char *base, FmgrInfo *procinfo, Oid collation, HnswElement e, int m)
|
||||
{
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
@@ -388,7 +388,7 @@ UpdateNeighborsInMemory(char *base, HnswSupport * support, HnswElement e, int m)
|
||||
Assert(neighborElement);
|
||||
|
||||
LWLockAcquire(&neighborElement->lock, LW_EXCLUSIVE);
|
||||
HnswUpdateConnection(base, HnswGetNeighbors(base, neighborElement, lc), e, hc->distance, lm, NULL, NULL, support);
|
||||
HnswUpdateConnection(base, e, hc, lm, lc, NULL, NULL, procinfo, collation);
|
||||
LWLockRelease(&neighborElement->lock);
|
||||
}
|
||||
}
|
||||
@@ -398,7 +398,7 @@ UpdateNeighborsInMemory(char *base, HnswSupport * support, HnswElement e, int m)
|
||||
* Update graph in memory
|
||||
*/
|
||||
static void
|
||||
UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, int efConstruction, HnswElement entryPoint, HnswBuildState * buildstate)
|
||||
UpdateGraphInMemory(FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement entryPoint, HnswBuildState * buildstate)
|
||||
{
|
||||
HnswGraph *graph = buildstate->graph;
|
||||
char *base = buildstate->hnswarea;
|
||||
@@ -411,7 +411,7 @@ UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, int efCon
|
||||
AddElementInMemory(base, graph, element);
|
||||
|
||||
/* Update neighbors */
|
||||
UpdateNeighborsInMemory(base, support, element, m);
|
||||
UpdateNeighborsInMemory(base, procinfo, collation, element, m);
|
||||
|
||||
/* Update entry point if needed (already have lock) */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -424,8 +424,9 @@ UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, int efCon
|
||||
static void
|
||||
InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
||||
{
|
||||
FmgrInfo *procinfo = buildstate->procinfo;
|
||||
Oid collation = buildstate->collation;
|
||||
HnswGraph *graph = buildstate->graph;
|
||||
HnswSupport *support = &buildstate->support;
|
||||
HnswElement entryPoint;
|
||||
LWLock *entryLock = &graph->entryLock;
|
||||
LWLock *entryWaitLock = &graph->entryWaitLock;
|
||||
@@ -457,10 +458,10 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
||||
}
|
||||
|
||||
/* Find neighbors for element */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, NULL, support, m, efConstruction, false);
|
||||
HnswFindElementNeighbors(base, element, entryPoint, NULL, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Update graph in memory */
|
||||
UpdateGraphInMemory(support, element, m, efConstruction, entryPoint, buildstate);
|
||||
UpdateGraphInMemory(procinfo, collation, element, m, efConstruction, entryPoint, buildstate);
|
||||
|
||||
/* Release entry lock */
|
||||
LWLockRelease(entryLock);
|
||||
@@ -472,19 +473,30 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
||||
static bool
|
||||
InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, HnswBuildState * buildstate)
|
||||
{
|
||||
const HnswTypeInfo *typeInfo = buildstate->typeInfo;
|
||||
HnswGraph *graph = buildstate->graph;
|
||||
HnswElement element;
|
||||
HnswAllocator *allocator = &buildstate->allocator;
|
||||
HnswSupport *support = &buildstate->support;
|
||||
Size valueSize;
|
||||
Pointer valuePtr;
|
||||
LWLock *flushLock = &graph->flushLock;
|
||||
char *base = buildstate->hnswarea;
|
||||
Datum value;
|
||||
|
||||
/* Form index value */
|
||||
if (!HnswFormIndexValue(&value, values, isnull, buildstate->typeInfo, support))
|
||||
return false;
|
||||
/* Detoast once for all calls */
|
||||
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Check value */
|
||||
if (typeInfo->checkValue != NULL)
|
||||
typeInfo->checkValue(DatumGetPointer(value));
|
||||
|
||||
/* Normalize if needed */
|
||||
if (buildstate->normprocinfo != NULL)
|
||||
{
|
||||
if (!HnswCheckNorm(buildstate->normprocinfo, buildstate->collation, value))
|
||||
return false;
|
||||
|
||||
value = HnswNormValue(typeInfo, buildstate->collation, value);
|
||||
}
|
||||
|
||||
/* Get datum size */
|
||||
valueSize = VARSIZE_ANY(DatumGetPointer(value));
|
||||
@@ -497,7 +509,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
{
|
||||
LWLockRelease(flushLock);
|
||||
|
||||
return HnswInsertTupleOnDisk(index, support, value, heaptid, true);
|
||||
return HnswInsertTupleOnDisk(index, value, values, isnull, heaptid, true);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -529,7 +541,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
||||
|
||||
LWLockRelease(flushLock);
|
||||
|
||||
return HnswInsertTupleOnDisk(index, support, value, heaptid, true);
|
||||
return HnswInsertTupleOnDisk(index, value, values, isnull, heaptid, true);
|
||||
}
|
||||
|
||||
/* Ok, we can proceed to allocate the element */
|
||||
@@ -595,7 +607,7 @@ BuildCallback(Relation index, ItemPointer tid, Datum *values,
|
||||
* Initialize the graph
|
||||
*/
|
||||
static void
|
||||
InitGraph(HnswGraph * graph, char *base, Size memoryTotal)
|
||||
InitGraph(HnswGraph * graph, char *base, long memoryTotal)
|
||||
{
|
||||
/* Initialize the lock tranche if needed */
|
||||
HnswInitLockTranche();
|
||||
@@ -692,9 +704,11 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
||||
buildstate->indtuples = 0;
|
||||
|
||||
/* Get support functions */
|
||||
HnswInitSupport(&buildstate->support, index);
|
||||
buildstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
buildstate->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
buildstate->collation = index->rd_indcollation[0];
|
||||
|
||||
InitGraph(&buildstate->graphData, NULL, (Size) maintenance_work_mem * 1024L);
|
||||
InitGraph(&buildstate->graphData, NULL, maintenance_work_mem * 1024L);
|
||||
buildstate->graph = &buildstate->graphData;
|
||||
buildstate->ml = HnswGetMl(buildstate->m);
|
||||
buildstate->maxLevel = HnswGetMaxLevel(buildstate->m);
|
||||
|
||||
319
src/hnswinsert.c
319
src/hnswinsert.c
@@ -36,7 +36,7 @@ GetInsertPage(Relation index)
|
||||
* Check for a free offset
|
||||
*/
|
||||
static bool
|
||||
HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size etupSize, Size ntupSize, Buffer *nbuf, Page *npage, OffsetNumber *freeOffno, OffsetNumber *freeNeighborOffno, BlockNumber *newInsertPage)
|
||||
HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size etupSize, Size ntupSize, Buffer *nbuf, Page *npage, OffsetNumber *freeOffno, OffsetNumber *freeNeighborOffno, BlockNumber *newInsertPage, uint8 *tupleVersion)
|
||||
{
|
||||
OffsetNumber offno;
|
||||
OffsetNumber maxoffno = PageGetMaxOffsetNumber(page);
|
||||
@@ -98,6 +98,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
|
||||
{
|
||||
*freeOffno = offno;
|
||||
*freeNeighborOffno = neighborOffno;
|
||||
*tupleVersion = etup->version;
|
||||
return true;
|
||||
}
|
||||
else if (*nbuf != buf)
|
||||
@@ -153,6 +154,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
OffsetNumber freeOffno = InvalidOffsetNumber;
|
||||
OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
uint8 tupleVersion;
|
||||
char *base = NULL;
|
||||
|
||||
/* Calculate sizes */
|
||||
@@ -202,7 +204,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
}
|
||||
|
||||
/* Next, try space from a deleted element */
|
||||
if (HnswFreeOffset(index, buf, page, e, etupSize, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage))
|
||||
if (HnswFreeOffset(index, buf, page, e, etupSize, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage, &tupleVersion))
|
||||
{
|
||||
if (nbuf != buf)
|
||||
{
|
||||
@@ -212,6 +214,10 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
|
||||
}
|
||||
|
||||
/* Set tuple version */
|
||||
etup->version = tupleVersion;
|
||||
ntup->version = tupleVersion;
|
||||
|
||||
break;
|
||||
}
|
||||
|
||||
@@ -334,107 +340,6 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
||||
*updatedInsertPage = newInsertPage;
|
||||
}
|
||||
|
||||
/*
|
||||
* Load neighbors
|
||||
*/
|
||||
static HnswNeighborArray *
|
||||
HnswLoadNeighbors(HnswElement element, Relation index, int m, int lm, int lc)
|
||||
{
|
||||
char *base = NULL;
|
||||
HnswNeighborArray *neighbors = HnswInitNeighborArray(lm, NULL);
|
||||
ItemPointerData indextids[HNSW_MAX_M * 2];
|
||||
|
||||
if (!HnswLoadNeighborTids(element, indextids, index, m, lm, lc))
|
||||
return neighbors;
|
||||
|
||||
for (int i = 0; i < lm; i++)
|
||||
{
|
||||
ItemPointer indextid = &indextids[i];
|
||||
HnswElement e;
|
||||
HnswCandidate *hc;
|
||||
|
||||
if (!ItemPointerIsValid(indextid))
|
||||
break;
|
||||
|
||||
e = HnswInitElementFromBlock(ItemPointerGetBlockNumber(indextid), ItemPointerGetOffsetNumber(indextid));
|
||||
hc = &neighbors->items[neighbors->length++];
|
||||
HnswPtrStore(base, hc->element, e);
|
||||
}
|
||||
|
||||
return neighbors;
|
||||
}
|
||||
|
||||
/*
|
||||
* Load elements for insert
|
||||
*/
|
||||
static void
|
||||
LoadElementsForInsert(HnswNeighborArray * neighbors, HnswQuery * q, int *idx, Relation index, HnswSupport * support)
|
||||
{
|
||||
char *base = NULL;
|
||||
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *hc = &neighbors->items[i];
|
||||
HnswElement element = HnswPtrAccess(base, hc->element);
|
||||
double distance;
|
||||
|
||||
HnswLoadElement(element, &distance, q, index, support, true, NULL);
|
||||
hc->distance = distance;
|
||||
|
||||
/* Prune element if being deleted */
|
||||
if (element->heaptidsLength == 0)
|
||||
{
|
||||
*idx = i;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Get update index
|
||||
*/
|
||||
static int
|
||||
GetUpdateIndex(HnswElement element, HnswElement newElement, float distance, int m, int lm, int lc, Relation index, HnswSupport * support, MemoryContext updateCtx)
|
||||
{
|
||||
char *base = NULL;
|
||||
int idx = -1;
|
||||
HnswNeighborArray *neighbors;
|
||||
MemoryContext oldCtx = MemoryContextSwitchTo(updateCtx);
|
||||
|
||||
/*
|
||||
* Get latest neighbors since they may have changed. Do not lock yet since
|
||||
* selecting neighbors can take time. Could use optimistic locking to
|
||||
* retry if another update occurs before getting exclusive lock.
|
||||
*/
|
||||
neighbors = HnswLoadNeighbors(element, index, m, lm, lc);
|
||||
|
||||
/*
|
||||
* Could improve performance for vacuuming by checking neighbors against
|
||||
* list of elements being deleted to find index. It's important to exclude
|
||||
* already deleted elements for this since they can be replaced at any
|
||||
* time.
|
||||
*/
|
||||
|
||||
if (neighbors->length < lm)
|
||||
idx = -2;
|
||||
else
|
||||
{
|
||||
HnswQuery q;
|
||||
|
||||
q.value = HnswGetValue(base, element);
|
||||
|
||||
LoadElementsForInsert(neighbors, &q, &idx, index, support);
|
||||
|
||||
if (idx == -1)
|
||||
HnswUpdateConnection(base, neighbors, newElement, distance, lm, &idx, index, support);
|
||||
}
|
||||
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
MemoryContextReset(updateCtx);
|
||||
|
||||
return idx;
|
||||
}
|
||||
|
||||
/*
|
||||
* Check if connection already exists
|
||||
*/
|
||||
@@ -455,94 +360,14 @@ ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
|
||||
return false;
|
||||
}
|
||||
|
||||
/*
|
||||
* Update neighbor
|
||||
*/
|
||||
static void
|
||||
UpdateNeighborOnDisk(HnswElement element, HnswElement newElement, int idx, int m, int lm, int lc, Relation index, bool checkExisting, bool building)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
HnswNeighborTuple ntup;
|
||||
int startIdx;
|
||||
OffsetNumber offno = element->neighborOffno;
|
||||
|
||||
/* Register page */
|
||||
buf = ReadBuffer(index, element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
|
||||
/* Get tuple */
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
|
||||
/* Calculate index for update */
|
||||
startIdx = (element->level - lc) * m;
|
||||
|
||||
/* Check for existing connection */
|
||||
if (checkExisting && ConnectionExists(newElement, ntup, startIdx, lm))
|
||||
idx = -1;
|
||||
else if (idx == -2)
|
||||
{
|
||||
/* Find free offset if still exists */
|
||||
/* TODO Retry updating connections if not */
|
||||
for (int j = 0; j < lm; j++)
|
||||
{
|
||||
if (!ItemPointerIsValid(&ntup->indextids[startIdx + j]))
|
||||
{
|
||||
idx = startIdx + j;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
idx += startIdx;
|
||||
|
||||
/* Make robust to issues */
|
||||
if (idx >= 0 && idx < ntup->count)
|
||||
{
|
||||
ItemPointer indextid = &ntup->indextids[idx];
|
||||
|
||||
/* Update neighbor on the buffer */
|
||||
ItemPointerSet(indextid, newElement->blkno, newElement->offno);
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
}
|
||||
else if (!building)
|
||||
GenericXLogAbort(state);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
* Update neighbors
|
||||
*/
|
||||
void
|
||||
HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e, int m, bool checkExisting, bool building)
|
||||
HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building)
|
||||
{
|
||||
char *base = NULL;
|
||||
|
||||
/* Use separate memory context to improve performance for larger vectors */
|
||||
MemoryContext updateCtx = GenerationContextCreate(CurrentMemoryContext,
|
||||
"Hnsw insert update context",
|
||||
#if PG_VERSION_NUM >= 150000
|
||||
128 * 1024, 128 * 1024,
|
||||
#endif
|
||||
128 * 1024);
|
||||
|
||||
for (int lc = e->level; lc >= 0; lc--)
|
||||
{
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
@@ -551,20 +376,96 @@ HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e,
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *hc = &neighbors->items[i];
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
HnswNeighborTuple ntup;
|
||||
int idx = -1;
|
||||
int startIdx;
|
||||
HnswElement neighborElement = HnswPtrAccess(base, hc->element);
|
||||
int idx;
|
||||
OffsetNumber offno = neighborElement->neighborOffno;
|
||||
|
||||
idx = GetUpdateIndex(neighborElement, e, hc->distance, m, lm, lc, index, support, updateCtx);
|
||||
/*
|
||||
* Get latest neighbors since they may have changed. Do not lock
|
||||
* yet since selecting neighbors can take time. Could use
|
||||
* optimistic locking to retry if another update occurs before
|
||||
* getting exclusive lock.
|
||||
*/
|
||||
HnswLoadNeighbors(neighborElement, index, m);
|
||||
|
||||
/*
|
||||
* Could improve performance for vacuuming by checking neighbors
|
||||
* against list of elements being deleted to find index. It's
|
||||
* important to exclude already deleted elements for this since
|
||||
* they can be replaced at any time.
|
||||
*/
|
||||
|
||||
/* Select neighbors */
|
||||
HnswUpdateConnection(NULL, e, hc, lm, lc, &idx, index, procinfo, collation);
|
||||
|
||||
/* New element was not selected as a neighbor */
|
||||
if (idx == -1)
|
||||
continue;
|
||||
|
||||
UpdateNeighborOnDisk(neighborElement, e, idx, m, lm, lc, index, checkExisting, building);
|
||||
/* Register page */
|
||||
buf = ReadBuffer(index, neighborElement->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
|
||||
if (building)
|
||||
{
|
||||
state = NULL;
|
||||
page = BufferGetPage(buf);
|
||||
}
|
||||
else
|
||||
{
|
||||
state = GenericXLogStart(index);
|
||||
page = GenericXLogRegisterBuffer(state, buf, 0);
|
||||
}
|
||||
|
||||
/* Get tuple */
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, offno));
|
||||
|
||||
/* Calculate index for update */
|
||||
startIdx = (neighborElement->level - lc) * m;
|
||||
|
||||
/* Check for existing connection */
|
||||
if (checkExisting && ConnectionExists(e, ntup, startIdx, lm))
|
||||
idx = -1;
|
||||
else if (idx == -2)
|
||||
{
|
||||
/* Find free offset if still exists */
|
||||
/* TODO Retry updating connections if not */
|
||||
for (int j = 0; j < lm; j++)
|
||||
{
|
||||
if (!ItemPointerIsValid(&ntup->indextids[startIdx + j]))
|
||||
{
|
||||
idx = startIdx + j;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
idx += startIdx;
|
||||
|
||||
/* Make robust to issues */
|
||||
if (idx >= 0 && idx < ntup->count)
|
||||
{
|
||||
ItemPointer indextid = &ntup->indextids[idx];
|
||||
|
||||
/* Update neighbor on the buffer */
|
||||
ItemPointerSet(indextid, e->blkno, e->offno);
|
||||
|
||||
/* Commit */
|
||||
if (building)
|
||||
MarkBufferDirty(buf);
|
||||
else
|
||||
GenericXLogFinish(state);
|
||||
}
|
||||
else if (!building)
|
||||
GenericXLogAbort(state);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
}
|
||||
|
||||
MemoryContextDelete(updateCtx);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -654,7 +555,7 @@ FindDuplicateOnDisk(Relation index, HnswElement element, bool building)
|
||||
* Update graph on disk
|
||||
*/
|
||||
static void
|
||||
UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
|
||||
UpdateGraphOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
|
||||
{
|
||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||
|
||||
@@ -670,7 +571,7 @@ UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, in
|
||||
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborsOnDisk(index, support, element, m, false, building);
|
||||
HnswUpdateNeighborsOnDisk(index, procinfo, collation, element, m, false, building);
|
||||
|
||||
/* Update entry point if needed */
|
||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||
@@ -681,12 +582,14 @@ UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, in
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
bool
|
||||
HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building)
|
||||
HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull, ItemPointer heap_tid, bool building)
|
||||
{
|
||||
HnswElement entryPoint;
|
||||
HnswElement element;
|
||||
int m;
|
||||
int efConstruction = HnswGetEfConstruction(index);
|
||||
FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
LOCKMODE lockmode = ShareLock;
|
||||
char *base = NULL;
|
||||
|
||||
@@ -701,7 +604,7 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
|
||||
/* Create an element */
|
||||
element = HnswInitElement(base, heaptid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
|
||||
element = HnswInitElement(base, heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
|
||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||
|
||||
/* Prevent concurrent inserts when likely updating entry point */
|
||||
@@ -719,10 +622,10 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
|
||||
}
|
||||
|
||||
/* Find neighbors for element */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false);
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, procinfo, collation, m, efConstruction, false);
|
||||
|
||||
/* Update graph on disk */
|
||||
UpdateGraphOnDisk(index, support, element, m, efConstruction, entryPoint, building);
|
||||
UpdateGraphOnDisk(index, procinfo, collation, element, m, efConstruction, entryPoint, building);
|
||||
|
||||
/* Release lock */
|
||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||
@@ -734,19 +637,31 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
|
||||
* Insert a tuple into the index
|
||||
*/
|
||||
static void
|
||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid)
|
||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid)
|
||||
{
|
||||
Datum value;
|
||||
const HnswTypeInfo *typeInfo = HnswGetTypeInfo(index);
|
||||
HnswSupport support;
|
||||
FmgrInfo *normprocinfo;
|
||||
Oid collation = index->rd_indcollation[0];
|
||||
|
||||
HnswInitSupport(&support, index);
|
||||
/* Detoast once for all calls */
|
||||
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Form index value */
|
||||
if (!HnswFormIndexValue(&value, values, isnull, typeInfo, &support))
|
||||
return;
|
||||
/* Check value */
|
||||
if (typeInfo->checkValue != NULL)
|
||||
typeInfo->checkValue(DatumGetPointer(value));
|
||||
|
||||
HnswInsertTupleOnDisk(index, &support, value, heaptid, false);
|
||||
/* Normalize if needed */
|
||||
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
if (normprocinfo != NULL)
|
||||
{
|
||||
if (!HnswCheckNorm(normprocinfo, collation, value))
|
||||
return;
|
||||
|
||||
value = HnswNormValue(typeInfo, collation, value);
|
||||
}
|
||||
|
||||
HnswInsertTupleOnDisk(index, value, values, isnull, heap_tid, false);
|
||||
}
|
||||
|
||||
/*
|
||||
|
||||
131
src/hnswscan.c
131
src/hnswscan.c
@@ -11,35 +11,69 @@
|
||||
* Algorithm 5 from paper
|
||||
*/
|
||||
static List *
|
||||
GetScanItems(IndexScanDesc scan, Datum value)
|
||||
GetScanItems(IndexScanDesc scan, Datum q)
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
Relation index = scan->indexRelation;
|
||||
HnswSupport *support = &so->support;
|
||||
FmgrInfo *procinfo = so->procinfo;
|
||||
Oid collation = so->collation;
|
||||
List *ep;
|
||||
List *w;
|
||||
int m;
|
||||
HnswElement entryPoint;
|
||||
char *base = NULL;
|
||||
HnswQuery q;
|
||||
|
||||
q.value = value;
|
||||
|
||||
/* Get m and entry point */
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
|
||||
so->q = q;
|
||||
so->m = m;
|
||||
|
||||
if (entryPoint == NULL)
|
||||
return NIL;
|
||||
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, &q, index, support, false));
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, procinfo, collation, false));
|
||||
|
||||
for (int lc = entryPoint->level; lc >= 1; lc--)
|
||||
{
|
||||
w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, false, NULL);
|
||||
w = HnswSearchLayer(base, q, ep, 1, lc, index, procinfo, collation, m, false, NULL, NULL, NULL, true);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
return HnswSearchLayer(base, &q, ep, hnsw_ef_search, 0, index, support, m, false, NULL);
|
||||
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL, &so->v, &so->discarded, true);
|
||||
}
|
||||
|
||||
/*
|
||||
* Resume scan at ground level with discarded candidates
|
||||
*/
|
||||
static List *
|
||||
ResumeScanItems(IndexScanDesc scan)
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
Relation index = scan->indexRelation;
|
||||
FmgrInfo *procinfo = so->procinfo;
|
||||
Oid collation = so->collation;
|
||||
List *ep = NIL;
|
||||
char *base = NULL;
|
||||
int batch_size = hnsw_ef_search;
|
||||
|
||||
if (pairingheap_is_empty(so->discarded))
|
||||
return NIL;
|
||||
|
||||
/* Get next batch of candidates */
|
||||
for (int i = 0; i < batch_size; i++)
|
||||
{
|
||||
HnswSearchCandidate *hc;
|
||||
|
||||
if (pairingheap_is_empty(so->discarded))
|
||||
break;
|
||||
|
||||
hc = HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded));
|
||||
|
||||
ep = lappend(ep, hc);
|
||||
}
|
||||
|
||||
return HnswSearchLayer(base, so->q, ep, batch_size, 0, index, procinfo, collation, so->m, false, NULL, &so->v, &so->discarded, false);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -62,8 +96,8 @@ GetScanValue(IndexScanDesc scan)
|
||||
Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
|
||||
|
||||
/* Normalize if needed */
|
||||
if (so->support.normprocinfo != NULL)
|
||||
value = HnswNormValue(so->typeInfo, so->support.collation, value);
|
||||
if (so->normprocinfo != NULL)
|
||||
value = HnswNormValue(so->typeInfo, so->collation, value);
|
||||
}
|
||||
|
||||
return value;
|
||||
@@ -88,7 +122,9 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
|
||||
/* Set support functions */
|
||||
HnswInitSupport(&so->support, index);
|
||||
so->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
so->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
so->collation = index->rd_indcollation[0];
|
||||
|
||||
scan->opaque = so;
|
||||
|
||||
@@ -103,7 +139,13 @@ hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int no
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
|
||||
if (!so->first)
|
||||
{
|
||||
pairingheap_reset(so->discarded);
|
||||
tidhash_reset(so->v.tids);
|
||||
}
|
||||
so->first = true;
|
||||
so->tuples = 0;
|
||||
MemoryContextReset(so->tmpCtx);
|
||||
|
||||
if (keys && scan->numberOfKeys > 0)
|
||||
@@ -153,7 +195,7 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
*/
|
||||
LockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
so->w = GetScanItems(scan, value);
|
||||
HnswBench("scan iteration", so->w = GetScanItems(scan, value));
|
||||
|
||||
/* Release shared lock */
|
||||
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
@@ -165,20 +207,79 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
#endif
|
||||
}
|
||||
|
||||
while (list_length(so->w) > 0)
|
||||
for (;;)
|
||||
{
|
||||
char *base = NULL;
|
||||
HnswSearchCandidate *sc = llast(so->w);
|
||||
HnswElement element = HnswPtrAccess(base, sc->element);
|
||||
HnswSearchCandidate *hc;
|
||||
HnswElement element;
|
||||
ItemPointer heaptid;
|
||||
|
||||
if (list_length(so->w) == 0)
|
||||
{
|
||||
if (!hnsw_streaming)
|
||||
break;
|
||||
|
||||
/* Prevent scans from consuming too much memory */
|
||||
if (MemoryContextMemAllocated(so->tmpCtx, false) > (Size) work_mem * 1024L)
|
||||
{
|
||||
if (pairingheap_is_empty(so->discarded))
|
||||
{
|
||||
ereport(NOTICE,
|
||||
(errmsg("hnsw iterative search exceeded work_mem after " INT64_FORMAT " tuples", so->tuples),
|
||||
errhint("Increase work_mem to scan more tuples.")));
|
||||
|
||||
break;
|
||||
}
|
||||
|
||||
/* Return remaining tuples */
|
||||
so->w = lappend(so->w, HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded)));
|
||||
}
|
||||
else
|
||||
{
|
||||
/*
|
||||
* Locking ensures when neighbors are read, the elements they
|
||||
* reference will not be deleted (and replaced) during the
|
||||
* iteration.
|
||||
*
|
||||
* Elements loaded into memory on previous iterations may have
|
||||
* been deleted (and replaced), so when reading neighbors, the
|
||||
* element version must be checked.
|
||||
*/
|
||||
LockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
HnswBench("scan iteration", so->w = ResumeScanItems(scan));
|
||||
|
||||
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||
|
||||
#if defined(HNSW_MEMORY)
|
||||
elog(INFO, "memory: %zu KB", MemoryContextMemAllocated(so->tmpCtx, false) / 1024);
|
||||
#endif
|
||||
}
|
||||
|
||||
if (list_length(so->w) == 0)
|
||||
break;
|
||||
}
|
||||
|
||||
hc = llast(so->w);
|
||||
element = HnswPtrAccess(base, hc->element);
|
||||
|
||||
/* Move to next element if no valid heap TIDs */
|
||||
if (element->heaptidsLength == 0)
|
||||
{
|
||||
so->w = list_delete_last(so->w);
|
||||
|
||||
/* Mark memory as free for next iteration */
|
||||
if (hnsw_streaming)
|
||||
{
|
||||
pfree(element);
|
||||
pfree(hc);
|
||||
}
|
||||
|
||||
continue;
|
||||
}
|
||||
|
||||
so->tuples++;
|
||||
|
||||
heaptid = &element->heaptids[--element->heaptidsLength];
|
||||
|
||||
MemoryContextSwitchTo(oldCtx);
|
||||
|
||||
431
src/hnswutils.c
431
src/hnswutils.c
@@ -100,6 +100,12 @@ hash_offset(Size offset)
|
||||
#define SH_DEFINE
|
||||
#include "lib/simplehash.h"
|
||||
|
||||
typedef union
|
||||
{
|
||||
HnswElement element;
|
||||
ItemPointerData indextid;
|
||||
} HnswUnvisited;
|
||||
|
||||
/*
|
||||
* Get the max number of connections in an upper layer for each element in the index
|
||||
*/
|
||||
@@ -140,17 +146,6 @@ HnswOptionalProcInfo(Relation index, uint16 procnum)
|
||||
return index_getprocinfo(index, 1, procnum);
|
||||
}
|
||||
|
||||
/*
|
||||
* Init support functions
|
||||
*/
|
||||
void
|
||||
HnswInitSupport(HnswSupport * support, Relation index)
|
||||
{
|
||||
support->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
support->collation = index->rd_indcollation[0];
|
||||
support->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
||||
}
|
||||
|
||||
/*
|
||||
* Normalize value
|
||||
*/
|
||||
@@ -164,9 +159,9 @@ HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value)
|
||||
* Check if non-zero norm
|
||||
*/
|
||||
bool
|
||||
HnswCheckNorm(HnswSupport * support, Datum value)
|
||||
HnswCheckNorm(FmgrInfo *procinfo, Oid collation, Datum value)
|
||||
{
|
||||
return DatumGetFloat8(FunctionCall1Coll(support->normprocinfo, support->collation, value)) > 0;
|
||||
return DatumGetFloat8(FunctionCall1Coll(procinfo, collation, value)) > 0;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -195,7 +190,7 @@ HnswInitPage(Buffer buf, Page page)
|
||||
/*
|
||||
* Allocate a neighbor array
|
||||
*/
|
||||
HnswNeighborArray *
|
||||
static HnswNeighborArray *
|
||||
HnswInitNeighborArray(int lm, HnswAllocator * allocator)
|
||||
{
|
||||
HnswNeighborArray *a = HnswAlloc(allocator, HNSW_NEIGHBOR_ARRAY_SIZE(lm));
|
||||
@@ -251,6 +246,8 @@ HnswInitElement(char *base, ItemPointer heaptid, int m, double ml, int maxLevel,
|
||||
|
||||
element->level = level;
|
||||
element->deleted = 0;
|
||||
/* Start at one to make it easier to find issues */
|
||||
element->version = 1;
|
||||
|
||||
HnswInitNeighbors(base, element, m, allocator);
|
||||
|
||||
@@ -392,33 +389,6 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
* Form index value
|
||||
*/
|
||||
bool
|
||||
HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support)
|
||||
{
|
||||
/* Detoast once for all calls */
|
||||
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
||||
|
||||
/* Check value */
|
||||
if (typeInfo->checkValue != NULL)
|
||||
typeInfo->checkValue(DatumGetPointer(value));
|
||||
|
||||
/* Normalize if needed */
|
||||
if (support->normprocinfo != NULL)
|
||||
{
|
||||
if (!HnswCheckNorm(support, value))
|
||||
return false;
|
||||
|
||||
value = HnswNormValue(typeInfo, support->collation, value);
|
||||
}
|
||||
|
||||
*out = value;
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
/*
|
||||
* Set element tuple, except for neighbor info
|
||||
*/
|
||||
@@ -430,6 +400,7 @@ HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element)
|
||||
etup->type = HNSW_ELEMENT_TUPLE_TYPE;
|
||||
etup->level = element->level;
|
||||
etup->deleted = 0;
|
||||
etup->version = element->version;
|
||||
for (int i = 0; i < HNSW_HEAPTIDS; i++)
|
||||
{
|
||||
if (i < element->heaptidsLength)
|
||||
@@ -472,6 +443,70 @@ HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
}
|
||||
|
||||
ntup->count = idx;
|
||||
ntup->version = e->version;
|
||||
}
|
||||
|
||||
/*
|
||||
* Load neighbors from page
|
||||
*/
|
||||
static void
|
||||
LoadNeighborsFromPage(HnswElement element, Relation index, Page page, int m)
|
||||
{
|
||||
char *base = NULL;
|
||||
|
||||
HnswNeighborTuple ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno));
|
||||
int neighborCount = (element->level + 2) * m;
|
||||
|
||||
Assert(HnswIsNeighborTuple(ntup));
|
||||
|
||||
HnswInitNeighbors(base, element, m, NULL);
|
||||
|
||||
/* Ensure expected neighbors */
|
||||
if (ntup->count != neighborCount)
|
||||
return;
|
||||
|
||||
for (int i = 0; i < neighborCount; i++)
|
||||
{
|
||||
HnswElement e;
|
||||
int level;
|
||||
HnswCandidate *hc;
|
||||
ItemPointer indextid;
|
||||
HnswNeighborArray *neighbors;
|
||||
|
||||
indextid = &ntup->indextids[i];
|
||||
|
||||
if (!ItemPointerIsValid(indextid))
|
||||
continue;
|
||||
|
||||
e = HnswInitElementFromBlock(ItemPointerGetBlockNumber(indextid), ItemPointerGetOffsetNumber(indextid));
|
||||
|
||||
/* Calculate level based on offset */
|
||||
level = element->level - i / m;
|
||||
if (level < 0)
|
||||
level = 0;
|
||||
|
||||
neighbors = HnswGetNeighbors(base, element, level);
|
||||
hc = &neighbors->items[neighbors->length++];
|
||||
HnswPtrStore(base, hc->element, e);
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Load neighbors
|
||||
*/
|
||||
void
|
||||
HnswLoadNeighbors(HnswElement element, Relation index, int m)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
|
||||
buf = ReadBuffer(index, element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
|
||||
LoadNeighborsFromPage(element, index, page, m);
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -482,6 +517,7 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
||||
{
|
||||
element->level = etup->level;
|
||||
element->deleted = etup->deleted;
|
||||
element->version = etup->version;
|
||||
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||
element->heaptidsLength = 0;
|
||||
@@ -507,20 +543,11 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Calculate the distance between values
|
||||
*/
|
||||
static inline double
|
||||
HnswGetDistance(Datum a, Datum b, HnswSupport * support)
|
||||
{
|
||||
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, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
|
||||
HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec, float *maxDistance, HnswElement * element)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
@@ -538,10 +565,10 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
|
||||
/* Calculate distance */
|
||||
if (distance != NULL)
|
||||
{
|
||||
if (DatumGetPointer(q->value) == NULL)
|
||||
if (DatumGetPointer(*q) == NULL)
|
||||
*distance = 0;
|
||||
else
|
||||
*distance = HnswGetDistance(q->value, PointerGetDatum(&etup->data), support);
|
||||
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->data)));
|
||||
}
|
||||
|
||||
/* Load element */
|
||||
@@ -560,37 +587,36 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
|
||||
* Load an element and optionally get its distance from q
|
||||
*/
|
||||
void
|
||||
HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance)
|
||||
HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec, float *maxDistance)
|
||||
{
|
||||
HnswLoadElementImpl(element->blkno, element->offno, distance, q, index, support, loadVec, maxDistance, &element);
|
||||
HnswLoadElementImpl(element->blkno, element->offno, distance, q, index, procinfo, collation, loadVec, maxDistance, &element);
|
||||
}
|
||||
|
||||
/*
|
||||
* Get the distance for an element
|
||||
*/
|
||||
static double
|
||||
GetElementDistance(char *base, HnswElement element, HnswQuery * q, HnswSupport * support)
|
||||
static float
|
||||
GetElementDistance(char *base, HnswElement element, Datum q, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
Datum value = HnswGetValue(base, element);
|
||||
|
||||
return HnswGetDistance(q->value, value, support);
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, value));
|
||||
}
|
||||
|
||||
/*
|
||||
* Create a candidate for the entry point
|
||||
*/
|
||||
HnswSearchCandidate *
|
||||
HnswEntryCandidate(char *base, HnswElement entryPoint, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec)
|
||||
HnswEntryCandidate(char *base, HnswElement entryPoint, Datum q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec)
|
||||
{
|
||||
HnswSearchCandidate *sc = palloc(sizeof(HnswSearchCandidate));
|
||||
bool inMemory = index == NULL;
|
||||
HnswSearchCandidate *hc = palloc(sizeof(HnswSearchCandidate));
|
||||
|
||||
HnswPtrStore(base, sc->element, entryPoint);
|
||||
if (inMemory)
|
||||
sc->distance = GetElementDistance(base, entryPoint, q, support);
|
||||
HnswPtrStore(base, hc->element, entryPoint);
|
||||
if (index == NULL)
|
||||
hc->distance = GetElementDistance(base, entryPoint, q, procinfo, collation);
|
||||
else
|
||||
HnswLoadElement(entryPoint, &sc->distance, q, index, support, loadVec, NULL);
|
||||
return sc;
|
||||
HnswLoadElement(entryPoint, &hc->distance, &q, index, procinfo, collation, loadVec, NULL);
|
||||
return hc;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -608,6 +634,21 @@ CompareNearestCandidates(const pairingheap_node *a, const pairingheap_node *b, v
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare discarded candidate distances
|
||||
*/
|
||||
static int
|
||||
CompareNearestDiscardedCandidates(const pairingheap_node *a, const pairingheap_node *b, void *arg)
|
||||
{
|
||||
if (HnswGetSearchCandidateConst(w_node, a)->distance < HnswGetSearchCandidateConst(w_node, b)->distance)
|
||||
return 1;
|
||||
|
||||
if (HnswGetSearchCandidateConst(w_node, a)->distance > HnswGetSearchCandidateConst(w_node, b)->distance)
|
||||
return -1;
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare candidate distances
|
||||
*/
|
||||
@@ -627,9 +668,9 @@ CompareFurthestCandidates(const pairingheap_node *a, const pairingheap_node *b,
|
||||
* Init visited
|
||||
*/
|
||||
static inline void
|
||||
InitVisited(char *base, visited_hash * v, bool inMemory, int ef, int m)
|
||||
InitVisited(char *base, visited_hash * v, Relation index, int ef, int m)
|
||||
{
|
||||
if (!inMemory)
|
||||
if (index != NULL)
|
||||
v->tids = tidhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
else if (base != NULL)
|
||||
v->offsets = offsethash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||
@@ -641,9 +682,9 @@ InitVisited(char *base, visited_hash * v, bool inMemory, int ef, int m)
|
||||
* Add to visited
|
||||
*/
|
||||
static inline void
|
||||
AddToVisited(char *base, visited_hash * v, HnswElementPtr elementPtr, bool inMemory, bool *found)
|
||||
AddToVisited(char *base, visited_hash * v, HnswElementPtr elementPtr, Relation index, bool *found)
|
||||
{
|
||||
if (!inMemory)
|
||||
if (index != NULL)
|
||||
{
|
||||
HnswElement element = HnswPtrAccess(base, elementPtr);
|
||||
ItemPointerData indextid;
|
||||
@@ -704,57 +745,48 @@ HnswLoadUnvisitedFromMemory(char *base, HnswElement element, HnswUnvisited * unv
|
||||
HnswCandidate *hc = &localNeighborhood->items[i];
|
||||
bool found;
|
||||
|
||||
AddToVisited(base, v, hc->element, true, &found);
|
||||
AddToVisited(base, v, hc->element, NULL, &found);
|
||||
|
||||
if (!found)
|
||||
unvisited[(*unvisitedLength)++].element = HnswPtrAccess(base, hc->element);
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Load neighbor index TIDs
|
||||
*/
|
||||
bool
|
||||
HnswLoadNeighborTids(HnswElement element, ItemPointerData *indextids, Relation index, int m, int lm, int lc)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
HnswNeighborTuple ntup;
|
||||
int start;
|
||||
|
||||
buf = ReadBuffer(index, element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno));
|
||||
|
||||
/* Ensure expected neighbors */
|
||||
if (ntup->count != (element->level + 2) * m)
|
||||
{
|
||||
UnlockReleaseBuffer(buf);
|
||||
return false;
|
||||
}
|
||||
|
||||
/* Copy to minimize lock time */
|
||||
start = (element->level - lc) * m;
|
||||
memcpy(indextids, ntup->indextids + start, lm * sizeof(ItemPointerData));
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
return true;
|
||||
}
|
||||
|
||||
/*
|
||||
* Load unvisited neighbors from disk
|
||||
*/
|
||||
static void
|
||||
HnswLoadUnvisitedFromDisk(HnswElement element, HnswUnvisited * unvisited, int *unvisitedLength, visited_hash * v, Relation index, int m, int lm, int lc)
|
||||
{
|
||||
Buffer buf;
|
||||
Page page;
|
||||
HnswNeighborTuple ntup;
|
||||
int start;
|
||||
ItemPointerData indextids[HNSW_MAX_M * 2];
|
||||
|
||||
*unvisitedLength = 0;
|
||||
|
||||
if (!HnswLoadNeighborTids(element, indextids, index, m, lm, lc))
|
||||
buf = ReadBuffer(index, element->neighborPage);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno));
|
||||
|
||||
/*
|
||||
* Ensure the neighbor tuple has not been deleted or replaced between
|
||||
* index scan iterations
|
||||
*/
|
||||
if (ntup->version != element->version)
|
||||
{
|
||||
UnlockReleaseBuffer(buf);
|
||||
return;
|
||||
}
|
||||
|
||||
/* Copy to minimize lock time */
|
||||
start = (element->level - lc) * m;
|
||||
memcpy(&indextids, ntup->indextids + start, lm * sizeof(ItemPointerData));
|
||||
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
for (int i = 0; i < lm; i++)
|
||||
{
|
||||
@@ -775,25 +807,36 @@ 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)
|
||||
HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited)
|
||||
{
|
||||
List *w = NIL;
|
||||
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL);
|
||||
int wlen = 0;
|
||||
visited_hash v;
|
||||
visited_hash vh;
|
||||
ListCell *lc2;
|
||||
HnswNeighborArray *localNeighborhood = NULL;
|
||||
Size neighborhoodSize = 0;
|
||||
int lm = HnswGetLayerM(m, lc);
|
||||
HnswUnvisited *unvisited = palloc(lm * sizeof(HnswUnvisited));
|
||||
int unvisitedLength;
|
||||
bool inMemory = index == NULL;
|
||||
|
||||
InitVisited(base, &v, inMemory, ef, m);
|
||||
if (v == NULL)
|
||||
{
|
||||
v = &vh;
|
||||
initVisited = true;
|
||||
}
|
||||
|
||||
if (initVisited)
|
||||
{
|
||||
InitVisited(base, v, index, ef, m);
|
||||
|
||||
if (discarded != NULL)
|
||||
*discarded = pairingheap_allocate(CompareNearestDiscardedCandidates, NULL);
|
||||
}
|
||||
|
||||
/* Create local memory for neighborhood if needed */
|
||||
if (inMemory)
|
||||
if (index == NULL)
|
||||
{
|
||||
neighborhoodSize = HNSW_NEIGHBOR_ARRAY_SIZE(lm);
|
||||
localNeighborhood = palloc(neighborhoodSize);
|
||||
@@ -802,20 +845,21 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
/* Add entry points to v, C, and W */
|
||||
foreach(lc2, ep)
|
||||
{
|
||||
HnswSearchCandidate *sc = (HnswSearchCandidate *) lfirst(lc2);
|
||||
HnswSearchCandidate *hc = (HnswSearchCandidate *) lfirst(lc2);
|
||||
bool found;
|
||||
|
||||
AddToVisited(base, &v, sc->element, inMemory, &found);
|
||||
if (initVisited)
|
||||
AddToVisited(base, v, hc->element, index, &found);
|
||||
|
||||
pairingheap_add(C, &sc->c_node);
|
||||
pairingheap_add(W, &sc->w_node);
|
||||
pairingheap_add(C, &hc->c_node);
|
||||
pairingheap_add(W, &hc->w_node);
|
||||
|
||||
/*
|
||||
* Do not count elements being deleted towards ef when vacuuming. It
|
||||
* would be ideal to do this for inserts as well, but this could
|
||||
* affect insert performance.
|
||||
*/
|
||||
if (CountElement(skipElement, HnswPtrAccess(base, sc->element)))
|
||||
if (CountElement(skipElement, HnswPtrAccess(base, hc->element)))
|
||||
wlen++;
|
||||
}
|
||||
|
||||
@@ -830,24 +874,24 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
|
||||
cElement = HnswPtrAccess(base, c->element);
|
||||
|
||||
if (inMemory)
|
||||
HnswLoadUnvisitedFromMemory(base, cElement, unvisited, &unvisitedLength, &v, lc, localNeighborhood, neighborhoodSize);
|
||||
if (index == NULL)
|
||||
HnswLoadUnvisitedFromMemory(base, cElement, unvisited, &unvisitedLength, v, lc, localNeighborhood, neighborhoodSize);
|
||||
else
|
||||
HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, &v, index, m, lm, lc);
|
||||
HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, v, index, m, lm, lc);
|
||||
|
||||
for (int i = 0; i < unvisitedLength; i++)
|
||||
{
|
||||
HnswElement eElement;
|
||||
HnswSearchCandidate *e;
|
||||
double eDistance;
|
||||
float eDistance;
|
||||
bool alwaysAdd = wlen < ef;
|
||||
|
||||
f = HnswGetSearchCandidate(w_node, pairingheap_first(W));
|
||||
|
||||
if (inMemory)
|
||||
if (index == NULL)
|
||||
{
|
||||
eElement = unvisited[i].element;
|
||||
eDistance = GetElementDistance(base, eElement, q, support);
|
||||
eDistance = GetElementDistance(base, eElement, q, procinfo, collation);
|
||||
}
|
||||
else
|
||||
{
|
||||
@@ -857,16 +901,22 @@ 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, q, index, support, inserting, alwaysAdd ? NULL : &f->distance, &eElement);
|
||||
|
||||
if (eElement == NULL)
|
||||
continue;
|
||||
HnswLoadElementImpl(blkno, offno, &eDistance, &q, index, procinfo, collation, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
|
||||
}
|
||||
|
||||
if (!(eDistance < f->distance || alwaysAdd))
|
||||
continue;
|
||||
if (eElement == NULL || !(eDistance < f->distance || alwaysAdd))
|
||||
{
|
||||
if (discarded != NULL)
|
||||
{
|
||||
/* Create a new candidate */
|
||||
e = palloc(sizeof(HnswSearchCandidate));
|
||||
HnswPtrStore(base, e->element, eElement);
|
||||
e->distance = eDistance;
|
||||
pairingheap_add(*discarded, &e->w_node);
|
||||
}
|
||||
|
||||
Assert(!eElement->deleted);
|
||||
continue;
|
||||
}
|
||||
|
||||
/* Make robust to issues */
|
||||
if (eElement->level < lc)
|
||||
@@ -890,7 +940,12 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
|
||||
/* No need to decrement wlen */
|
||||
if (wlen > ef)
|
||||
pairingheap_remove_first(W);
|
||||
{
|
||||
HnswSearchCandidate *d = HnswGetSearchCandidate(w_node, pairingheap_remove_first(W));
|
||||
|
||||
if (discarded != NULL)
|
||||
pairingheap_add(*discarded, &d->w_node);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -898,9 +953,9 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
/* Add each element of W to w */
|
||||
while (!pairingheap_is_empty(W))
|
||||
{
|
||||
HnswSearchCandidate *sc = HnswGetSearchCandidate(w_node, pairingheap_remove_first(W));
|
||||
HnswSearchCandidate *hc = HnswGetSearchCandidate(w_node, pairingheap_remove_first(W));
|
||||
|
||||
w = lappend(w, sc);
|
||||
w = lappend(w, hc);
|
||||
}
|
||||
|
||||
return w;
|
||||
@@ -954,22 +1009,32 @@ CompareCandidateDistancesOffset(const ListCell *a, const ListCell *b)
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Calculate the distance between elements
|
||||
*/
|
||||
static float
|
||||
HnswGetDistance(char *base, HnswElement a, HnswElement b, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
Datum aValue = HnswGetValue(base, a);
|
||||
Datum bValue = HnswGetValue(base, b);
|
||||
|
||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, aValue, bValue));
|
||||
}
|
||||
|
||||
/*
|
||||
* Check if an element is closer to q than any element from R
|
||||
*/
|
||||
static bool
|
||||
CheckElementCloser(char *base, HnswCandidate * e, List *r, HnswSupport * support)
|
||||
CheckElementCloser(char *base, HnswCandidate * e, List *r, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
HnswElement eElement = HnswPtrAccess(base, e->element);
|
||||
Datum eValue = HnswGetValue(base, eElement);
|
||||
ListCell *lc2;
|
||||
|
||||
foreach(lc2, r)
|
||||
{
|
||||
HnswCandidate *ri = lfirst(lc2);
|
||||
HnswElement riElement = HnswPtrAccess(base, ri->element);
|
||||
Datum riValue = HnswGetValue(base, riElement);
|
||||
float distance = HnswGetDistance(eValue, riValue, support);
|
||||
float distance = HnswGetDistance(base, eElement, riElement, procinfo, collation);
|
||||
|
||||
if (distance <= e->distance)
|
||||
return false;
|
||||
@@ -982,14 +1047,15 @@ CheckElementCloser(char *base, HnswCandidate * e, List *r, HnswSupport * support
|
||||
* Algorithm 4 from paper
|
||||
*/
|
||||
static List *
|
||||
SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closerSet, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid collation, HnswElement e2, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||
{
|
||||
List *r = NIL;
|
||||
List *w = list_copy(c);
|
||||
HnswCandidate **wd;
|
||||
int wdlen = 0;
|
||||
int wdoff = 0;
|
||||
bool mustCalculate = !(*closerSet);
|
||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, e2, lc);
|
||||
bool mustCalculate = !neighbors->closerSet;
|
||||
List *added = NIL;
|
||||
bool removedAny = false;
|
||||
|
||||
@@ -1016,7 +1082,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
|
||||
/* Use previous state of r and wd to skip work when possible */
|
||||
if (mustCalculate)
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
||||
else if (list_length(added) > 0)
|
||||
{
|
||||
/* Keep Valgrind happy for in-memory, parallel builds */
|
||||
@@ -1029,7 +1095,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
*/
|
||||
if (e->closer)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, added, support);
|
||||
e->closer = CheckElementCloser(base, e, added, procinfo, collation);
|
||||
|
||||
if (!e->closer)
|
||||
removedAny = true;
|
||||
@@ -1042,7 +1108,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
*/
|
||||
if (removedAny)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1050,7 +1116,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
}
|
||||
else if (e == newCandidate)
|
||||
{
|
||||
e->closer = CheckElementCloser(base, e, r, support);
|
||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
||||
if (e->closer)
|
||||
added = lappend(added, e);
|
||||
}
|
||||
@@ -1066,7 +1132,7 @@ SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closer
|
||||
}
|
||||
|
||||
/* Cached value can only be used in future if sorted deterministically */
|
||||
*closerSet = sortCandidates;
|
||||
neighbors->closerSet = sortCandidates;
|
||||
|
||||
/* Keep pruned connections */
|
||||
while (wdoff < wdlen && list_length(r) < lm)
|
||||
@@ -1101,16 +1167,18 @@ AddConnections(char *base, HnswElement element, List *neighbors, int lc)
|
||||
* Update connections
|
||||
*/
|
||||
void
|
||||
HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newElement, float distance, int lm, int *updateIdx, Relation index, HnswSupport * support)
|
||||
HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation)
|
||||
{
|
||||
HnswCandidate newHc;
|
||||
HnswElement hce = HnswPtrAccess(base, hc->element);
|
||||
HnswNeighborArray *currentNeighbors = HnswGetNeighbors(base, hce, lc);
|
||||
HnswCandidate hc2;
|
||||
|
||||
HnswPtrStore(base, newHc.element, newElement);
|
||||
newHc.distance = distance;
|
||||
HnswPtrStore(base, hc2.element, element);
|
||||
hc2.distance = hc->distance;
|
||||
|
||||
if (neighbors->length < lm)
|
||||
if (currentNeighbors->length < lm)
|
||||
{
|
||||
neighbors->items[neighbors->length++] = newHc;
|
||||
currentNeighbors->items[currentNeighbors->length++] = hc2;
|
||||
|
||||
/* Track update */
|
||||
if (updateIdx != NULL)
|
||||
@@ -1119,26 +1187,54 @@ HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newE
|
||||
else
|
||||
{
|
||||
/* Shrink connections */
|
||||
List *c = NIL;
|
||||
HnswCandidate *pruned = NULL;
|
||||
|
||||
/* Add candidates */
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
c = lappend(c, &neighbors->items[i]);
|
||||
c = lappend(c, &newHc);
|
||||
/* Load elements on insert */
|
||||
if (index != NULL)
|
||||
{
|
||||
Datum q = HnswGetValue(base, hce);
|
||||
|
||||
SelectNeighbors(base, c, lm, support, &neighbors->closerSet, &newHc, &pruned, true);
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
HnswCandidate *hc3 = ¤tNeighbors->items[i];
|
||||
HnswElement hc3Element = HnswPtrAccess(base, hc3->element);
|
||||
|
||||
if (HnswPtrIsNull(base, hc3Element->value))
|
||||
HnswLoadElement(hc3Element, &hc3->distance, &q, index, procinfo, collation, true, NULL);
|
||||
else
|
||||
hc3->distance = GetElementDistance(base, hc3Element, q, procinfo, collation);
|
||||
|
||||
/* Prune element if being deleted */
|
||||
if (hc3Element->heaptidsLength == 0)
|
||||
{
|
||||
pruned = ¤tNeighbors->items[i];
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
return;
|
||||
{
|
||||
List *c = NIL;
|
||||
|
||||
/* Add candidates */
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
c = lappend(c, ¤tNeighbors->items[i]);
|
||||
c = lappend(c, &hc2);
|
||||
|
||||
SelectNeighbors(base, c, lm, lc, procinfo, collation, hce, &hc2, &pruned, true);
|
||||
|
||||
/* Should not happen */
|
||||
if (pruned == NULL)
|
||||
return;
|
||||
}
|
||||
|
||||
/* Find and replace the pruned element */
|
||||
for (int i = 0; i < neighbors->length; i++)
|
||||
for (int i = 0; i < currentNeighbors->length; i++)
|
||||
{
|
||||
if (HnswPtrEqual(base, neighbors->items[i].element, pruned->element))
|
||||
if (HnswPtrEqual(base, currentNeighbors->items[i].element, pruned->element))
|
||||
{
|
||||
neighbors->items[i] = newHc;
|
||||
currentNeighbors->items[i] = hc2;
|
||||
|
||||
/* Track update */
|
||||
if (updateIdx != NULL)
|
||||
@@ -1198,20 +1294,17 @@ 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)
|
||||
HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing)
|
||||
{
|
||||
List *ep;
|
||||
List *w;
|
||||
int level = element->level;
|
||||
int entryLevel;
|
||||
HnswQuery q;
|
||||
Datum q = HnswGetValue(base, element);
|
||||
HnswElement skipElement = existing ? element : NULL;
|
||||
bool inMemory = index == NULL;
|
||||
|
||||
q.value = HnswGetValue(base, element);
|
||||
|
||||
/* Precompute hash */
|
||||
if (inMemory)
|
||||
if (index == NULL)
|
||||
PrecomputeHash(base, element);
|
||||
|
||||
/* No neighbors if no entry point */
|
||||
@@ -1219,13 +1312,13 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
return;
|
||||
|
||||
/* Get entry point and level */
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, &q, index, support, true));
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, procinfo, collation, 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);
|
||||
w = HnswSearchLayer(base, q, ep, 1, lc, index, procinfo, collation, m, true, skipElement, NULL, NULL, true);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
@@ -1244,7 +1337,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
List *lw = NIL;
|
||||
ListCell *lc2;
|
||||
|
||||
w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement);
|
||||
w = HnswSearchLayer(base, q, ep, efConstruction, lc, index, procinfo, collation, m, true, skipElement, NULL, NULL, true);
|
||||
|
||||
/* Convert search candidates to candidates */
|
||||
foreach(lc2, w)
|
||||
@@ -1260,7 +1353,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
|
||||
/* Elements being deleted or skipped can help with search */
|
||||
/* but should be removed before selecting neighbors */
|
||||
if (!inMemory)
|
||||
if (index != NULL)
|
||||
lw = RemoveElements(base, lw, skipElement);
|
||||
|
||||
/*
|
||||
@@ -1268,7 +1361,7 @@ 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, support, &HnswGetNeighbors(base, element, lc)->closerSet, NULL, NULL, false);
|
||||
neighbors = SelectNeighbors(base, lw, lm, lc, procinfo, collation, element, NULL, NULL, false);
|
||||
|
||||
AddConnections(base, element, neighbors, lc);
|
||||
|
||||
|
||||
@@ -184,12 +184,13 @@ static void
|
||||
RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswElement entryPoint)
|
||||
{
|
||||
Relation index = vacuumstate->index;
|
||||
HnswSupport *support = &vacuumstate->support;
|
||||
Buffer buf;
|
||||
Page page;
|
||||
GenericXLogState *state;
|
||||
int m = vacuumstate->m;
|
||||
int efConstruction = vacuumstate->efConstruction;
|
||||
FmgrInfo *procinfo = vacuumstate->procinfo;
|
||||
Oid collation = vacuumstate->collation;
|
||||
BufferAccessStrategy bas = vacuumstate->bas;
|
||||
HnswNeighborTuple ntup = vacuumstate->ntup;
|
||||
Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, m);
|
||||
@@ -204,7 +205,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
element->heaptidsLength = 0;
|
||||
|
||||
/* Find neighbors for element, skipping itself */
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true);
|
||||
HnswFindElementNeighbors(base, element, entryPoint, index, procinfo, collation, m, efConstruction, true);
|
||||
|
||||
/* Zero memory for each element */
|
||||
MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);
|
||||
@@ -228,7 +229,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
||||
UnlockReleaseBuffer(buf);
|
||||
|
||||
/* Update neighbors */
|
||||
HnswUpdateNeighborsOnDisk(index, support, element, m, true, false);
|
||||
HnswUpdateNeighborsOnDisk(index, procinfo, collation, element, m, true, false);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -238,7 +239,6 @@ static void
|
||||
RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
{
|
||||
Relation index = vacuumstate->index;
|
||||
HnswSupport *support = &vacuumstate->support;
|
||||
HnswElement highestPoint = &vacuumstate->highestPoint;
|
||||
HnswElement entryPoint;
|
||||
MemoryContext oldCtx = MemoryContextSwitchTo(vacuumstate->tmpCtx);
|
||||
@@ -256,7 +256,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||
LockPage(index, HNSW_UPDATE_LOCK, ShareLock);
|
||||
|
||||
/* Load element */
|
||||
HnswLoadElement(highestPoint, NULL, NULL, index, support, true, NULL);
|
||||
HnswLoadElement(highestPoint, NULL, NULL, index, vacuumstate->procinfo, vacuumstate->collation, 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, index, support, true, NULL);
|
||||
HnswLoadElement(entryPoint, NULL, NULL, index, vacuumstate->procinfo, vacuumstate->collation, true, NULL);
|
||||
|
||||
if (NeedsUpdated(vacuumstate, entryPoint))
|
||||
{
|
||||
@@ -527,6 +527,14 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
for (int i = 0; i < ntup->count; i++)
|
||||
ItemPointerSetInvalid(&ntup->indextids[i]);
|
||||
|
||||
/* Increment version */
|
||||
/* This is used to avoid incorrect reads for iterative scans */
|
||||
/* Reserve some bits for future use */
|
||||
etup->version++;
|
||||
if (etup->version > 15)
|
||||
etup->version = 1;
|
||||
ntup->version = etup->version;
|
||||
|
||||
/*
|
||||
* We modified the tuples in place, no need to call
|
||||
* PageIndexTupleOverwrite
|
||||
@@ -573,13 +581,13 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
||||
vacuumstate->callback_state = callback_state;
|
||||
vacuumstate->efConstruction = HnswGetEfConstruction(index);
|
||||
vacuumstate->bas = GetAccessStrategy(BAS_BULKREAD);
|
||||
vacuumstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
||||
vacuumstate->collation = index->rd_indcollation[0];
|
||||
vacuumstate->ntup = palloc0(HNSW_TUPLE_ALLOC_SIZE);
|
||||
vacuumstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Hnsw vacuum temporary context",
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
|
||||
HnswInitSupport(&vacuumstate->support, index);
|
||||
|
||||
/* Get m from metapage */
|
||||
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
|
||||
|
||||
|
||||
@@ -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)
|
||||
{
|
||||
Datum value;
|
||||
bool isnull;
|
||||
|
||||
if (tuplesort_gettupleslot(sortstate, true, false, slot, NULL))
|
||||
{
|
||||
bool unused;
|
||||
|
||||
*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;
|
||||
@@ -260,16 +254,14 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
|
||||
IndexTuple itup = NULL; /* silence compiler warning */
|
||||
int64 inserted = 0;
|
||||
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsMinimalTuple);
|
||||
TupleDesc tupdesc = buildstate->tupdesc;
|
||||
Datum *values = palloc(tupdesc->natts * sizeof(Datum));
|
||||
bool *isnull = palloc(tupdesc->natts * sizeof(bool));
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->tupdesc, &TTSOpsMinimalTuple);
|
||||
TupleDesc tupdesc = RelationGetDescr(index);
|
||||
|
||||
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);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -330,7 +319,6 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
||||
buildstate->index = index;
|
||||
buildstate->indexInfo = indexInfo;
|
||||
buildstate->typeInfo = IvfflatGetTypeInfo(index);
|
||||
buildstate->tupdesc = RelationGetDescr(index);
|
||||
|
||||
buildstate->lists = IvfflatGetLists(index);
|
||||
buildstate->dimensions = TupleDescAttr(index->rd_att, 0)->atttypmod;
|
||||
@@ -341,19 +329,6 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
||||
(errcode(ERRCODE_FEATURE_NOT_SUPPORTED),
|
||||
errmsg("type not supported for ivfflat index")));
|
||||
|
||||
/* TODO See if needed */
|
||||
if (IndexRelationGetNumberOfKeyAttributes(index) > 3)
|
||||
elog(ERROR, "index cannot have more than three columns");
|
||||
|
||||
if (!OidIsValid(index_getprocid(index, 1, IVFFLAT_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, IVFFLAT_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,
|
||||
@@ -381,13 +356,12 @@ 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);
|
||||
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);
|
||||
buildstate->tupdesc = CreateTemplateTupleDesc(3);
|
||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
|
||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
|
||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 3, "vector", RelationGetDescr(index)->attrs[0].atttypid, -1, 0);
|
||||
|
||||
buildstate->slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsVirtual);
|
||||
buildstate->slot = MakeSingleTupleTableSlot(buildstate->tupdesc, &TTSOpsVirtual);
|
||||
|
||||
buildstate->centers = VectorArrayInit(buildstate->lists, buildstate->dimensions, buildstate->typeInfo->itemSize(buildstate->dimensions));
|
||||
buildstate->listInfo = palloc(sizeof(ListInfo) * buildstate->lists);
|
||||
@@ -659,7 +633,7 @@ IvfflatParallelScanAndSort(IvfflatSpool * ivfspool, IvfflatShared * ivfshared, S
|
||||
InitBuildState(&buildstate, ivfspool->heap, ivfspool->index, indexInfo);
|
||||
memcpy(buildstate.centers->items, ivfcenters, buildstate.centers->itemsize * buildstate.centers->maxlen);
|
||||
buildstate.centers->length = buildstate.centers->maxlen;
|
||||
ivfspool->sortstate = InitBuildSortState(buildstate.sortdesc, sortmem, coordinate);
|
||||
ivfspool->sortstate = InitBuildSortState(buildstate.tupdesc, sortmem, coordinate);
|
||||
buildstate.sortstate = ivfspool->sortstate;
|
||||
scan = table_beginscan_parallel(ivfspool->heap,
|
||||
ParallelTableScanFromIvfflatShared(ivfshared));
|
||||
@@ -976,7 +950,7 @@ AssignTuples(IvfflatBuildState * buildstate)
|
||||
}
|
||||
|
||||
/* Begin serial/leader tuplesort */
|
||||
buildstate->sortstate = InitBuildSortState(buildstate->sortdesc, maintenance_work_mem, coordinate);
|
||||
buildstate->sortstate = InitBuildSortState(buildstate->tupdesc, maintenance_work_mem, coordinate);
|
||||
|
||||
/* Add tuples to sort */
|
||||
if (buildstate->heap != NULL)
|
||||
|
||||
@@ -69,8 +69,6 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
GenericCosts costs;
|
||||
int lists;
|
||||
double ratio;
|
||||
double sequentialRatio = 0.5;
|
||||
double startupPages;
|
||||
double spc_seq_page_cost;
|
||||
Relation index;
|
||||
|
||||
@@ -87,8 +85,6 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
|
||||
MemSet(&costs, 0, sizeof(costs));
|
||||
|
||||
genericcostestimate(root, path, loop_count, &costs);
|
||||
|
||||
index = index_open(path->indexinfo->indexoid, NoLock);
|
||||
IvfflatGetMetaPageInfo(index, &lists, NULL);
|
||||
index_close(index, NoLock);
|
||||
@@ -98,26 +94,41 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
||||
if (ratio > 1.0)
|
||||
ratio = 1.0;
|
||||
|
||||
/*
|
||||
* This gives us the subset of tuples to visit. This value is passed into
|
||||
* the generic cost estimator to determine the number of pages to visit
|
||||
* during the index scan.
|
||||
*/
|
||||
costs.numIndexTuples = path->indexinfo->tuples * ratio;
|
||||
|
||||
genericcostestimate(root, path, loop_count, &costs);
|
||||
|
||||
get_tablespace_page_costs(path->indexinfo->reltablespace, NULL, &spc_seq_page_cost);
|
||||
|
||||
/* Change some page cost from random to sequential */
|
||||
costs.indexTotalCost -= sequentialRatio * costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
|
||||
|
||||
/* Startup cost is cost before returning the first row */
|
||||
costs.indexStartupCost = costs.indexTotalCost * ratio;
|
||||
|
||||
/* Adjust cost if needed since TOAST not included in seq scan cost */
|
||||
startupPages = costs.numIndexPages * ratio;
|
||||
if (startupPages > path->indexinfo->rel->pages && ratio < 0.5)
|
||||
if (costs.numIndexPages > path->indexinfo->rel->pages && ratio < 0.5)
|
||||
{
|
||||
/* Change rest of page cost from random to sequential */
|
||||
costs.indexStartupCost -= (1 - sequentialRatio) * startupPages * (costs.spc_random_page_cost - spc_seq_page_cost);
|
||||
/* Change all page cost from random to sequential */
|
||||
costs.indexTotalCost -= costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
|
||||
|
||||
/* Remove cost of extra pages */
|
||||
costs.indexStartupCost -= (startupPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
|
||||
costs.indexTotalCost -= (costs.numIndexPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
|
||||
}
|
||||
else
|
||||
{
|
||||
/* Change some page cost from random to sequential */
|
||||
costs.indexTotalCost -= 0.5 * costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
|
||||
}
|
||||
|
||||
*indexStartupCost = costs.indexStartupCost;
|
||||
/*
|
||||
* If the list selectivity is lower than what is returned from the generic
|
||||
* cost estimator, use that.
|
||||
*/
|
||||
if (ratio < costs.indexSelectivity)
|
||||
costs.indexSelectivity = ratio;
|
||||
|
||||
/* Use total cost since most work happens before first tuple is returned */
|
||||
*indexStartupCost = costs.indexTotalCost;
|
||||
*indexTotalCost = costs.indexTotalCost;
|
||||
*indexSelectivity = costs.indexSelectivity;
|
||||
*indexCorrelation = costs.indexCorrelation;
|
||||
@@ -167,7 +178,7 @@ ivfflathandler(PG_FUNCTION_ARGS)
|
||||
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;
|
||||
|
||||
@@ -165,7 +165,6 @@ typedef struct IvfflatBuildState
|
||||
Relation index;
|
||||
IndexInfo *indexInfo;
|
||||
const IvfflatTypeInfo *typeInfo;
|
||||
TupleDesc tupdesc;
|
||||
|
||||
/* Settings */
|
||||
int dimensions;
|
||||
@@ -199,7 +198,7 @@ typedef struct IvfflatBuildState
|
||||
|
||||
/* Sorting */
|
||||
Tuplesortstate *sortstate;
|
||||
TupleDesc sortdesc;
|
||||
TupleDesc tupdesc;
|
||||
TupleTableSlot *slot;
|
||||
|
||||
/* Memory */
|
||||
@@ -254,9 +253,8 @@ typedef struct IvfflatScanOpaqueData
|
||||
/* Sorting */
|
||||
Tuplesortstate *sortstate;
|
||||
TupleDesc tupdesc;
|
||||
TupleTableSlot *vslot;
|
||||
TupleTableSlot *mslot;
|
||||
BufferAccessStrategy bas;
|
||||
TupleTableSlot *slot;
|
||||
bool isnull;
|
||||
|
||||
/* Support functions */
|
||||
FmgrInfo *procinfo;
|
||||
|
||||
@@ -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]));
|
||||
@@ -100,16 +98,12 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
||||
IvfflatGetMetaPageInfo(index, NULL, NULL);
|
||||
|
||||
/* Find the insert page - sets the page and list info */
|
||||
FindInsertPage(index, &value, &insertPage, &listInfo);
|
||||
FindInsertPage(index, values, &insertPage, &listInfo);
|
||||
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 */
|
||||
|
||||
@@ -15,19 +15,16 @@
|
||||
#include "utils/memutils.h"
|
||||
#endif
|
||||
|
||||
#define GetScanList(ptr) pairingheap_container(IvfflatScanList, ph_node, ptr)
|
||||
#define GetScanListConst(ptr) pairingheap_const_container(IvfflatScanList, ph_node, ptr)
|
||||
|
||||
/*
|
||||
* Compare list distances
|
||||
*/
|
||||
static int
|
||||
CompareLists(const pairingheap_node *a, const pairingheap_node *b, void *arg)
|
||||
{
|
||||
if (GetScanListConst(a)->distance > GetScanListConst(b)->distance)
|
||||
if (((const IvfflatScanList *) a)->distance > ((const IvfflatScanList *) b)->distance)
|
||||
return 1;
|
||||
|
||||
if (GetScanListConst(a)->distance < GetScanListConst(b)->distance)
|
||||
if (((const IvfflatScanList *) a)->distance < ((const IvfflatScanList *) b)->distance)
|
||||
return -1;
|
||||
|
||||
return 0;
|
||||
@@ -79,14 +76,14 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
||||
|
||||
/* Calculate max distance */
|
||||
if (listCount == so->probes)
|
||||
maxDistance = GetScanList(pairingheap_first(so->listQueue))->distance;
|
||||
maxDistance = ((IvfflatScanList *) pairingheap_first(so->listQueue))->distance;
|
||||
}
|
||||
else if (distance < maxDistance)
|
||||
{
|
||||
IvfflatScanList *scanlist;
|
||||
|
||||
/* Remove */
|
||||
scanlist = GetScanList(pairingheap_remove_first(so->listQueue));
|
||||
scanlist = (IvfflatScanList *) pairingheap_remove_first(so->listQueue);
|
||||
|
||||
/* Reuse */
|
||||
scanlist->startPage = list->startPage;
|
||||
@@ -94,7 +91,7 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
||||
pairingheap_add(so->listQueue, &scanlist->ph_node);
|
||||
|
||||
/* Update max distance */
|
||||
maxDistance = GetScanList(pairingheap_first(so->listQueue))->distance;
|
||||
maxDistance = ((IvfflatScanList *) pairingheap_first(so->listQueue))->distance;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -104,34 +101,6 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
* Check if matches scan keys
|
||||
*/
|
||||
static bool
|
||||
MatchesScanKeys(IndexScanDesc scan, IndexTuple itup, TupleDesc tupdesc)
|
||||
{
|
||||
for (int i = 0; i < scan->numberOfKeys; i++)
|
||||
{
|
||||
ScanKey key = &scan->keyData[i];
|
||||
bool attnull = key->sk_flags & SK_ISNULL;
|
||||
bool isnull;
|
||||
Datum value = index_getattr(itup, key->sk_attno, tupdesc, &isnull);
|
||||
|
||||
if (isnull || attnull)
|
||||
{
|
||||
if (isnull != attnull)
|
||||
return false;
|
||||
}
|
||||
else
|
||||
{
|
||||
if (!DatumGetBool(FunctionCall2Coll(&key->sk_func, key->sk_collation, value, key->sk_argument)))
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
/*
|
||||
* Get items
|
||||
*/
|
||||
@@ -141,12 +110,19 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||
TupleDesc tupdesc = RelationGetDescr(scan->indexRelation);
|
||||
double tuples = 0;
|
||||
TupleTableSlot *slot = so->vslot;
|
||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsVirtual);
|
||||
|
||||
/*
|
||||
* Reuse same set of shared buffers for scan
|
||||
*
|
||||
* See postgres/src/backend/storage/buffer/README for description
|
||||
*/
|
||||
BufferAccessStrategy bas = GetAccessStrategy(BAS_BULKREAD);
|
||||
|
||||
/* Search closest probes lists */
|
||||
while (!pairingheap_is_empty(so->listQueue))
|
||||
{
|
||||
BlockNumber searchPage = GetScanList(pairingheap_remove_first(so->listQueue))->startPage;
|
||||
BlockNumber searchPage = ((IvfflatScanList *) pairingheap_remove_first(so->listQueue))->startPage;
|
||||
|
||||
/* Search all entry pages for list */
|
||||
while (BlockNumberIsValid(searchPage))
|
||||
@@ -155,7 +131,7 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
Page page;
|
||||
OffsetNumber maxoffno;
|
||||
|
||||
buf = ReadBufferExtended(scan->indexRelation, MAIN_FORKNUM, searchPage, RBM_NORMAL, so->bas);
|
||||
buf = ReadBufferExtended(scan->indexRelation, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas);
|
||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
||||
page = BufferGetPage(buf);
|
||||
maxoffno = PageGetMaxOffsetNumber(page);
|
||||
@@ -168,10 +144,6 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
ItemId itemid = PageGetItemId(page, offno);
|
||||
|
||||
itup = (IndexTuple) PageGetItem(page, itemid);
|
||||
|
||||
if (!MatchesScanKeys(scan, itup, tupdesc))
|
||||
continue;
|
||||
|
||||
datum = index_getattr(itup, 1, tupdesc, &isnull);
|
||||
|
||||
/*
|
||||
@@ -198,6 +170,8 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
||||
}
|
||||
}
|
||||
|
||||
FreeAccessStrategy(bas);
|
||||
|
||||
if (tuples < 100)
|
||||
ereport(DEBUG1,
|
||||
(errmsg("index scan found few tuples"),
|
||||
@@ -300,16 +274,7 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
||||
/* Prep sort */
|
||||
so->sortstate = InitScanSortState(so->tupdesc);
|
||||
|
||||
/* Need separate slots for puttuple and gettuple */
|
||||
so->vslot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsVirtual);
|
||||
so->mslot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsMinimalTuple);
|
||||
|
||||
/*
|
||||
* Reuse same set of shared buffers for scan
|
||||
*
|
||||
* See postgres/src/backend/storage/buffer/README for description
|
||||
*/
|
||||
so->bas = GetAccessStrategy(BAS_BULKREAD);
|
||||
so->slot = MakeSingleTupleTableSlot(so->tupdesc, &TTSOpsMinimalTuple);
|
||||
|
||||
so->listQueue = pairingheap_allocate(CompareLists, scan);
|
||||
|
||||
@@ -383,10 +348,9 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
pfree(DatumGetPointer(value));
|
||||
}
|
||||
|
||||
if (tuplesort_gettupleslot(so->sortstate, true, false, so->mslot, NULL))
|
||||
if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL))
|
||||
{
|
||||
bool isnull;
|
||||
ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->mslot, 2, &isnull));
|
||||
ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull));
|
||||
|
||||
scan->xs_heaptid = *heaptid;
|
||||
scan->xs_recheck = false;
|
||||
@@ -407,10 +371,6 @@ ivfflatendscan(IndexScanDesc scan)
|
||||
|
||||
pairingheap_free(so->listQueue);
|
||||
tuplesort_end(so->sortstate);
|
||||
FreeAccessStrategy(so->bas);
|
||||
FreeTupleDesc(so->tupdesc);
|
||||
|
||||
/* TODO Free vslot and mslot without freeing TupleDesc */
|
||||
|
||||
pfree(so);
|
||||
scan->opaque = NULL;
|
||||
|
||||
18
src/vector.c
18
src/vector.c
@@ -155,6 +155,24 @@ CheckStateArray(ArrayType *statearray, const char *caller)
|
||||
return (float8 *) ARR_DATA_PTR(statearray);
|
||||
}
|
||||
|
||||
#if PG_VERSION_NUM < 120003
|
||||
static pg_noinline void
|
||||
float_overflow_error(void)
|
||||
{
|
||||
ereport(ERROR,
|
||||
(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
|
||||
errmsg("value out of range: overflow")));
|
||||
}
|
||||
|
||||
static pg_noinline void
|
||||
float_underflow_error(void)
|
||||
{
|
||||
ereport(ERROR,
|
||||
(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
|
||||
errmsg("value out of range: underflow")));
|
||||
}
|
||||
#endif
|
||||
|
||||
/*
|
||||
* Convert textual representation to internal representation
|
||||
*/
|
||||
|
||||
@@ -6,7 +6,13 @@ use Test::More;
|
||||
|
||||
my $dim = 3;
|
||||
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
my $v = int(rand(1000)) + 1;
|
||||
push(@r, "i % $v");
|
||||
}
|
||||
my $array_sql = join(", ", @r);
|
||||
|
||||
# Initialize node
|
||||
my $node = PostgreSQL::Test::Cluster->new('node');
|
||||
@@ -17,20 +23,19 @@ $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 % 10, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
||||
|
||||
# Get size
|
||||
my $size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_idx');");
|
||||
|
||||
# Store values
|
||||
$node->safe_psql("postgres", "CREATE TABLE tmp AS SELECT * FROM tst;");
|
||||
|
||||
# Delete all, vacuum, and insert same data
|
||||
$node->safe_psql("postgres", "DELETE FROM tst;");
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
$node->safe_psql("postgres", "INSERT INTO tst SELECT * FROM tmp;");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i % 10, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
|
||||
# Check size
|
||||
my $new_size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_idx');");
|
||||
|
||||
@@ -94,7 +94,8 @@ like($explain, qr/Seq Scan/);
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query';
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute index
|
||||
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
||||
@@ -109,6 +110,7 @@ $node->safe_psql("postgres", "CREATE INDEX partial_idx ON tst USING ivfflat (v v
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using partial_idx/);
|
||||
# TODO Use partial index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
done_testing();
|
||||
|
||||
@@ -18,13 +18,9 @@ $node->start;
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int4, t text);");
|
||||
$node->safe_psql("postgres", "CREATE TABLE cat (i int4 PRIMARY KEY, t text, b boolean);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc, 'test ' || i FROM generate_series(1, 10000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO cat SELECT i, 'cat ' || i, i % 5 = 0 FROM generate_series(1, $nc) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
|
||||
$node->safe_psql("postgres", "ANALYZE tst;");
|
||||
|
||||
@@ -41,7 +37,8 @@ my $c = int(rand() * $nc);
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with few rows removed
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
@@ -59,7 +56,8 @@ like($explain, qr/Index Scan using idx/);
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
# TODO Do not use index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute filtering with few rows removed like
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
@@ -98,25 +96,13 @@ $explain = $node->safe_psql("postgres", qq(
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test join
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT cat.t FROM cat INNER JOIN tst ON cat.i = tst.c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test join with attribute filtering
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT cat.t FROM cat INNER JOIN tst ON cat.i = tst.c WHERE cat.b = 't' ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test attribute index
|
||||
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
# Use attribute index
|
||||
like($explain, qr/Bitmap Index Scan on attribute_idx/);
|
||||
# TODO Use attribute index
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# Test partial index
|
||||
$node->safe_psql("postgres", "CREATE INDEX partial_idx ON tst USING hnsw (v vector_l2_ops) WHERE (c = $c);");
|
||||
|
||||
@@ -1,60 +0,0 @@
|
||||
use strict;
|
||||
use warnings FATAL => 'all';
|
||||
use PostgreSQL::Test::Cluster;
|
||||
use PostgreSQL::Test::Utils;
|
||||
use Test::More;
|
||||
|
||||
my @dims = (384, 1536);
|
||||
my $limit = 10;
|
||||
|
||||
# Initialize node
|
||||
my $node = PostgreSQL::Test::Cluster->new('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
|
||||
for my $dim (@dims)
|
||||
{
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 2000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
|
||||
$node->safe_psql("postgres", "ANALYZE tst;");
|
||||
|
||||
# Generate query
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
my $query = "[" . join(",", @r) . "]";
|
||||
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
# 3x the rows are needed for distance filters
|
||||
# since the planner uses DEFAULT_INEQ_SEL for the selectivity (should be 1)
|
||||
# Recreate index for performance
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(2001, 6000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
|
||||
$node->safe_psql("postgres", "ANALYZE tst;");
|
||||
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
$node->safe_psql("postgres", "DROP TABLE tst;");
|
||||
}
|
||||
|
||||
done_testing();
|
||||
43
test/t/039_hnsw_streaming.pl
Normal file
43
test/t/039_hnsw_streaming.pl
Normal file
@@ -0,0 +1,43 @@
|
||||
use strict;
|
||||
use warnings FATAL => 'all';
|
||||
use PostgreSQL::Test::Cluster;
|
||||
use PostgreSQL::Test::Utils;
|
||||
use Test::More;
|
||||
|
||||
my $dim = 3;
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
|
||||
# Initialize node
|
||||
my $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));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", qq(
|
||||
SET maintenance_work_mem = '128MB';
|
||||
SET max_parallel_maintenance_workers = 2;
|
||||
CREATE INDEX ON tst USING hnsw (v vector_l2_ops)
|
||||
));
|
||||
|
||||
my $count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.streaming = on;
|
||||
SET work_mem = '8MB';
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||
));
|
||||
is($count, 10);
|
||||
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.streaming = on;
|
||||
SET work_mem = '2MB';
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||
));
|
||||
like($stderr, qr/iterative search exceeded work_mem after \d+ tuples/);
|
||||
|
||||
done_testing();
|
||||
131
test/t/040_hnsw_streaming_recall.pl
Normal file
131
test/t/040_hnsw_streaming_recall.pl
Normal file
@@ -0,0 +1,131 @@
|
||||
use strict;
|
||||
use warnings FATAL => 'all';
|
||||
use PostgreSQL::Test::Cluster;
|
||||
use PostgreSQL::Test::Utils;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
my $dim = 3;
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
my @cs = (100, 1000);
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($c, $ef_search, $min, $operator) = @_;
|
||||
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.streaming = on;
|
||||
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/);
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = $ef_search;
|
||||
SET hnsw.streaming = on;
|
||||
SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
my @actual_ids = split("\n", $actual);
|
||||
|
||||
my @expected_ids = split("\n", $expected[$i]);
|
||||
my %expected_set = map { $_ => 1 } @expected_ids;
|
||||
|
||||
foreach (@actual_ids)
|
||||
{
|
||||
if (exists($expected_set{$_}))
|
||||
{
|
||||
$correct++;
|
||||
}
|
||||
}
|
||||
|
||||
$total += $limit;
|
||||
}
|
||||
|
||||
cmp_ok($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));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for (1 .. 20)
|
||||
{
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
push(@queries, "[" . join(",", @r) . "]");
|
||||
}
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<=>");
|
||||
my @opclasses = ("vector_l2_ops", "vector_cosine_ops");
|
||||
|
||||
for my $i (0 .. $#operators)
|
||||
{
|
||||
my $operator = $operators[$i];
|
||||
my $opclass = $opclasses[$i];
|
||||
|
||||
$node->safe_psql("postgres", qq(
|
||||
SET maintenance_work_mem = '128MB';
|
||||
CREATE INDEX idx ON tst USING hnsw (v $opclass);
|
||||
));
|
||||
|
||||
foreach (@cs)
|
||||
{
|
||||
my $c = $_;
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_indexscan = off;
|
||||
WITH top AS (
|
||||
SELECT v $operator '$_' AS distance FROM tst WHERE i % $c = 0 ORDER BY distance LIMIT $limit
|
||||
)
|
||||
SELECT i FROM tst WHERE (v $operator '$_') <= (SELECT MAX(distance) FROM top)
|
||||
));
|
||||
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);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
}
|
||||
|
||||
done_testing();
|
||||
@@ -1,50 +0,0 @@
|
||||
use strict;
|
||||
use warnings FATAL => 'all';
|
||||
use PostgreSQL::Test::Cluster;
|
||||
use PostgreSQL::Test::Utils;
|
||||
use Test::More;
|
||||
|
||||
my @dims = (384, 1536);
|
||||
my $limit = 10;
|
||||
|
||||
# Initialize node
|
||||
my $node = PostgreSQL::Test::Cluster->new('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
|
||||
for my $dim (@dims)
|
||||
{
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
|
||||
# Create table and index
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 5000) i;"
|
||||
);
|
||||
$node->safe_psql("postgres", "CREATE INDEX idx ON tst USING ivfflat (v vector_l2_ops) WITH (lists = 5);");
|
||||
$node->safe_psql("postgres", "ANALYZE tst;");
|
||||
|
||||
# Generate query
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
my $query = "[" . join(",", @r) . "]";
|
||||
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx/);
|
||||
|
||||
$node->safe_psql("postgres", "DROP TABLE tst;");
|
||||
}
|
||||
|
||||
done_testing();
|
||||
@@ -1,197 +0,0 @@
|
||||
use strict;
|
||||
use warnings FATAL => 'all';
|
||||
use PostgreSQL::Test::Cluster;
|
||||
use PostgreSQL::Test::Utils;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @where = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
my $dim = 3;
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
my $nc = 100;
|
||||
my $nc2 = 10;
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($probes, $min, $operator) = @_;
|
||||
my $correct = 0;
|
||||
my $total = 0;
|
||||
|
||||
for my $j (0 .. 2)
|
||||
{
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = $probes;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE $where[$j] ORDER BY v $operator '$queries[$j]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond/);
|
||||
}
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET ivfflat.probes = $probes;
|
||||
SELECT i FROM tst WHERE $where[$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, c2 int4);");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc, i % $nc2 FROM generate_series(1, 50000) i;"
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for my $i (1 .. 100)
|
||||
{
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
push(@queries, "[" . join(",", @r) . "]");
|
||||
|
||||
if ($i % 3 == 0)
|
||||
{
|
||||
my $c = int(rand() * $nc);
|
||||
push(@where, "c = $c");
|
||||
}
|
||||
elsif ($i % 3 == 1)
|
||||
{
|
||||
my $c2 = int(rand() * $nc2);
|
||||
push(@where, "c2 = $c2");
|
||||
}
|
||||
else
|
||||
{
|
||||
# use c2 to ensure results
|
||||
my $c2 = int(rand() * $nc2);
|
||||
push(@where, "c = $c2 AND c2 = $c2");
|
||||
}
|
||||
}
|
||||
|
||||
# Add index
|
||||
$node->safe_psql("postgres", qq(
|
||||
CREATE INDEX ON tst USING ivfflat (v vector_l2_ops, c, c2) WITH (lists = 100);
|
||||
));
|
||||
|
||||
# Insert more rows
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc, i % $nc2 FROM generate_series(1, 50000) i;"
|
||||
);
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_indexscan = off;
|
||||
SELECT i FROM tst WHERE $where[$i] ORDER BY v <-> '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
# Test recall
|
||||
test_recall(10, 0.99, '<->');
|
||||
|
||||
# Test vacuum
|
||||
$node->safe_psql("postgres", "DELETE FROM tst WHERE c > 5;");
|
||||
$node->safe_psql("postgres", "VACUUM tst;");
|
||||
|
||||
# Test less than
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c < 10 ORDER BY v <-> '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond: \(c < 10\)/);
|
||||
|
||||
# Test less than or equal
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c <= 10 ORDER BY v <-> '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond: \(c <= 10\)/);
|
||||
|
||||
# Test greater than or equal
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c >= 90 ORDER BY v <-> '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond: \(c >= 90\)/);
|
||||
|
||||
# Test greater than
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c > 90 ORDER BY v <-> '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond: \(c > 90\)/);
|
||||
|
||||
# Test multiple attribute columns
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = 1 AND c2 = 1 ORDER BY v <-> '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond: \(\(c = 1\) AND \(c2 = 1\)\)/);
|
||||
|
||||
# Test only last attribute column
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c2 = 1 ORDER BY v <-> '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Cond: \(c2 = 1\)/);
|
||||
|
||||
# Test only vector column
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst ORDER BY v <-> '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan/);
|
||||
|
||||
# Test only attribute columns
|
||||
$explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = 1;
|
||||
));
|
||||
like($explain, qr/Seq Scan/);
|
||||
|
||||
# Test columns
|
||||
my ($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING ivfflat (c);");
|
||||
like($stderr, qr/first column must be a vector/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING ivfflat (c, v vector_cosine_ops);");
|
||||
like($stderr, qr/first column must be a vector/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_cosine_ops, c, c, c);");
|
||||
like($stderr, qr/index cannot have more than three columns/);
|
||||
|
||||
($ret, $stdout, $stderr) = $node->psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_cosine_ops, v vector_cosine_ops);");
|
||||
like($stderr, qr/column 2 cannot be a vector/);
|
||||
|
||||
done_testing();
|
||||
Reference in New Issue
Block a user