mirror of
https://github.com/pgvector/pgvector.git
synced 2026-07-11 15:16:54 +08:00
Merge branch 'master' into intvec
This commit is contained in:
2
.github/workflows/build.yml
vendored
2
.github/workflows/build.yml
vendored
@@ -49,7 +49,7 @@ jobs:
|
|||||||
- postgres: 16
|
- postgres: 16
|
||||||
os: macos-14
|
os: macos-14
|
||||||
- postgres: 14
|
- postgres: 14
|
||||||
os: macos-12
|
os: macos-13
|
||||||
steps:
|
steps:
|
||||||
- uses: actions/checkout@v4
|
- uses: actions/checkout@v4
|
||||||
- uses: ankane/setup-postgres@v1
|
- uses: ankane/setup-postgres@v1
|
||||||
|
|||||||
@@ -1,7 +1,10 @@
|
|||||||
## 0.8.0 (unreleased)
|
## 0.8.0 (unreleased)
|
||||||
|
|
||||||
|
- Added support for iterative index scans
|
||||||
- Added `intvec` type
|
- Added `intvec` type
|
||||||
- Added casts for arrays to `sparsevec`
|
- Added casts for arrays to `sparsevec`
|
||||||
|
- Improved cost estimation
|
||||||
|
- Improved performance of HNSW inserts and on-disk index builds
|
||||||
- Reduced memory usage for HNSW index scans
|
- Reduced memory usage for HNSW index scans
|
||||||
- Dropped support for Postgres 12
|
- Dropped support for Postgres 12
|
||||||
|
|
||||||
|
|||||||
@@ -1,4 +1,4 @@
|
|||||||
ARG PG_MAJOR=16
|
ARG PG_MAJOR=17
|
||||||
FROM postgres:$PG_MAJOR
|
FROM postgres:$PG_MAJOR
|
||||||
ARG PG_MAJOR
|
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
|
git archive --format zip --prefix=$(EXTENSION)-$(EXTVERSION)/ --output dist/$(EXTENSION)-$(EXTVERSION).zip master
|
||||||
|
|
||||||
# for Docker
|
# for Docker
|
||||||
PG_MAJOR ?= 16
|
PG_MAJOR ?= 17
|
||||||
|
|
||||||
.PHONY: docker
|
.PHONY: docker
|
||||||
|
|
||||||
|
|||||||
38
README.md
38
README.md
@@ -52,6 +52,8 @@ nmake /F Makefile.win
|
|||||||
nmake /F Makefile.win install
|
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
|
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).
|
You can also install it with [Docker](#docker) or [conda-forge](#conda-forge).
|
||||||
@@ -100,6 +102,8 @@ Or add a vector column to an existing table
|
|||||||
ALTER TABLE items ADD COLUMN embedding vector(3);
|
ALTER TABLE items ADD COLUMN embedding vector(3);
|
||||||
```
|
```
|
||||||
|
|
||||||
|
Also supports [half-precision](#half-precision-vectors), [binary](#binary-vectors), and [sparse](#sparse-vectors) vectors
|
||||||
|
|
||||||
Insert vectors
|
Insert vectors
|
||||||
|
|
||||||
```sql
|
```sql
|
||||||
@@ -145,6 +149,8 @@ Supported distance functions are:
|
|||||||
- `<#>` - (negative) inner product
|
- `<#>` - (negative) inner product
|
||||||
- `<=>` - cosine distance
|
- `<=>` - cosine distance
|
||||||
- `<+>` - L1 distance (added in 0.7.0)
|
- `<+>` - L1 distance (added in 0.7.0)
|
||||||
|
- `<~>` - Hamming distance (binary vectors, added in 0.7.0)
|
||||||
|
- `<%>` - Jaccard distance (binary vectors, added in 0.7.0)
|
||||||
|
|
||||||
Get the nearest neighbors to a row
|
Get the nearest neighbors to a row
|
||||||
|
|
||||||
@@ -1018,7 +1024,7 @@ 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:
|
If your machine has multiple Postgres installations, specify the path to [pg_config](https://www.postgresql.org/docs/current/app-pgconfig.html) with:
|
||||||
|
|
||||||
```sh
|
```sh
|
||||||
export PG_CONFIG=/Library/PostgreSQL/16/bin/pg_config
|
export PG_CONFIG=/Library/PostgreSQL/17/bin/pg_config
|
||||||
```
|
```
|
||||||
|
|
||||||
Then re-run the installation instructions (run `make clean` before `make` if needed). If `sudo` is needed for `make install`, use:
|
Then re-run the installation instructions (run `make clean` before `make` if needed). If `sudo` is needed for `make install`, use:
|
||||||
@@ -1029,11 +1035,11 @@ sudo --preserve-env=PG_CONFIG make install
|
|||||||
|
|
||||||
A few common paths on Mac are:
|
A few common paths on Mac are:
|
||||||
|
|
||||||
- EDB installer - `/Library/PostgreSQL/16/bin/pg_config`
|
- EDB installer - `/Library/PostgreSQL/17/bin/pg_config`
|
||||||
- Homebrew (arm64) - `/opt/homebrew/opt/postgresql@16/bin/pg_config`
|
- Homebrew (arm64) - `/opt/homebrew/opt/postgresql@17/bin/pg_config`
|
||||||
- Homebrew (x86-64) - `/usr/local/opt/postgresql@16/bin/pg_config`
|
- Homebrew (x86-64) - `/usr/local/opt/postgresql@17/bin/pg_config`
|
||||||
|
|
||||||
Note: Replace `16` with your Postgres server version
|
Note: Replace `17` with your Postgres server version
|
||||||
|
|
||||||
### Missing Header
|
### Missing Header
|
||||||
|
|
||||||
@@ -1042,10 +1048,10 @@ If compilation fails with `fatal error: postgres.h: No such file or directory`,
|
|||||||
For Ubuntu and Debian, use:
|
For Ubuntu and Debian, use:
|
||||||
|
|
||||||
```sh
|
```sh
|
||||||
sudo apt install postgresql-server-dev-16
|
sudo apt install postgresql-server-dev-17
|
||||||
```
|
```
|
||||||
|
|
||||||
Note: Replace `16` with your Postgres server version
|
Note: Replace `17` with your Postgres server version
|
||||||
|
|
||||||
### Missing SDK
|
### Missing SDK
|
||||||
|
|
||||||
@@ -1078,17 +1084,17 @@ If installation fails with `Access is denied`, re-run the installation instructi
|
|||||||
Get the [Docker image](https://hub.docker.com/r/pgvector/pgvector) with:
|
Get the [Docker image](https://hub.docker.com/r/pgvector/pgvector) with:
|
||||||
|
|
||||||
```sh
|
```sh
|
||||||
docker pull pgvector/pgvector:pg16
|
docker pull pgvector/pgvector:pg17
|
||||||
```
|
```
|
||||||
|
|
||||||
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).
|
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).
|
||||||
|
|
||||||
You can also build the image manually:
|
You can also build the image manually:
|
||||||
|
|
||||||
```sh
|
```sh
|
||||||
git clone --branch v0.7.4 https://github.com/pgvector/pgvector.git
|
git clone --branch v0.7.4 https://github.com/pgvector/pgvector.git
|
||||||
cd pgvector
|
cd pgvector
|
||||||
docker build --pull --build-arg PG_MAJOR=16 -t myuser/pgvector .
|
docker build --pull --build-arg PG_MAJOR=17 -t myuser/pgvector .
|
||||||
```
|
```
|
||||||
|
|
||||||
### Homebrew
|
### Homebrew
|
||||||
@@ -1099,7 +1105,7 @@ With Homebrew Postgres, you can use:
|
|||||||
brew install pgvector
|
brew install pgvector
|
||||||
```
|
```
|
||||||
|
|
||||||
Note: This only adds it to the `postgresql@14` formula
|
Note: This only adds it to the `postgresql@17` and `postgresql@14` formulas
|
||||||
|
|
||||||
### PGXN
|
### PGXN
|
||||||
|
|
||||||
@@ -1114,22 +1120,22 @@ 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:
|
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
|
```sh
|
||||||
sudo apt install postgresql-16-pgvector
|
sudo apt install postgresql-17-pgvector
|
||||||
```
|
```
|
||||||
|
|
||||||
Note: Replace `16` with your Postgres server version
|
Note: Replace `17` with your Postgres server version
|
||||||
|
|
||||||
### Yum
|
### 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:
|
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
|
```sh
|
||||||
sudo yum install pgvector_16
|
sudo yum install pgvector_17
|
||||||
# or
|
# or
|
||||||
sudo dnf install pgvector_16
|
sudo dnf install pgvector_17
|
||||||
```
|
```
|
||||||
|
|
||||||
Note: Replace `16` with your Postgres server version
|
Note: Replace `17` with your Postgres server version
|
||||||
|
|
||||||
### pkg
|
### pkg
|
||||||
|
|
||||||
|
|||||||
@@ -159,24 +159,6 @@ CheckStateArray(ArrayType *statearray, const char *caller)
|
|||||||
return (float8 *) ARR_DATA_PTR(statearray);
|
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
|
* Convert textual representation to internal representation
|
||||||
*/
|
*/
|
||||||
|
|||||||
89
src/hnsw.c
89
src/hnsw.c
@@ -12,12 +12,22 @@
|
|||||||
#include "utils/float.h"
|
#include "utils/float.h"
|
||||||
#include "utils/guc.h"
|
#include "utils/guc.h"
|
||||||
#include "utils/selfuncs.h"
|
#include "utils/selfuncs.h"
|
||||||
|
#include "utils/spccache.h"
|
||||||
|
|
||||||
#if PG_VERSION_NUM < 150000
|
#if PG_VERSION_NUM < 150000
|
||||||
#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
|
#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
|
||||||
#endif
|
#endif
|
||||||
|
|
||||||
|
static const struct config_enum_entry hnsw_iterative_search_options[] = {
|
||||||
|
{"off", HNSW_ITERATIVE_SEARCH_OFF, false},
|
||||||
|
{"relaxed_order", HNSW_ITERATIVE_SEARCH_RELAXED, false},
|
||||||
|
{"strict_order", HNSW_ITERATIVE_SEARCH_STRICT, false},
|
||||||
|
{NULL, 0, false}
|
||||||
|
};
|
||||||
|
|
||||||
int hnsw_ef_search;
|
int hnsw_ef_search;
|
||||||
|
int hnsw_max_search_tuples;
|
||||||
|
int hnsw_iterative_search;
|
||||||
int hnsw_lock_tranche_id;
|
int hnsw_lock_tranche_id;
|
||||||
static relopt_kind hnsw_relopt_kind;
|
static relopt_kind hnsw_relopt_kind;
|
||||||
|
|
||||||
@@ -68,6 +78,15 @@ HnswInit(void)
|
|||||||
"Valid range is 1..1000.", &hnsw_ef_search,
|
"Valid range is 1..1000.", &hnsw_ef_search,
|
||||||
HNSW_DEFAULT_EF_SEARCH, HNSW_MIN_EF_SEARCH, HNSW_MAX_EF_SEARCH, PGC_USERSET, 0, NULL, NULL, NULL);
|
HNSW_DEFAULT_EF_SEARCH, HNSW_MIN_EF_SEARCH, HNSW_MAX_EF_SEARCH, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||||
|
|
||||||
|
DefineCustomEnumVariable("hnsw.iterative_search", "Sets the iterative search mode",
|
||||||
|
NULL, &hnsw_iterative_search,
|
||||||
|
HNSW_ITERATIVE_SEARCH_OFF, hnsw_iterative_search_options, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||||
|
|
||||||
|
/* This is approximate and does not apply to the initial scan */
|
||||||
|
DefineCustomIntVariable("hnsw.max_search_tuples", "Sets the max number of candidates to visit for iterative search",
|
||||||
|
"-1 means no limit", &hnsw_max_search_tuples,
|
||||||
|
-1, -1, INT_MAX, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||||
|
|
||||||
MarkGUCPrefixReserved("hnsw");
|
MarkGUCPrefixReserved("hnsw");
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -99,7 +118,9 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
|||||||
{
|
{
|
||||||
GenericCosts costs;
|
GenericCosts costs;
|
||||||
int m;
|
int m;
|
||||||
int entryLevel;
|
double ratio;
|
||||||
|
double startupPages;
|
||||||
|
double spc_seq_page_cost;
|
||||||
Relation index;
|
Relation index;
|
||||||
|
|
||||||
/* Never use index without order */
|
/* Never use index without order */
|
||||||
@@ -115,21 +136,71 @@ hnswcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
|||||||
|
|
||||||
MemSet(&costs, 0, sizeof(costs));
|
MemSet(&costs, 0, sizeof(costs));
|
||||||
|
|
||||||
|
genericcostestimate(root, path, loop_count, &costs);
|
||||||
|
|
||||||
index = index_open(path->indexinfo->indexoid, NoLock);
|
index = index_open(path->indexinfo->indexoid, NoLock);
|
||||||
HnswGetMetaPageInfo(index, &m, NULL);
|
HnswGetMetaPageInfo(index, &m, NULL);
|
||||||
index_close(index, NoLock);
|
index_close(index, NoLock);
|
||||||
|
|
||||||
/* Approximate entry level */
|
/*
|
||||||
entryLevel = (int) -log(1.0 / path->indexinfo->tuples) * HnswGetMl(m);
|
* 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)));
|
||||||
|
|
||||||
/* TODO Improve estimate of visited tuples (currently underestimates) */
|
ratio = (entryLevel * m + layer0TuplesMax * layer0Selectivity) / path->indexinfo->tuples;
|
||||||
/* Account for number of tuples (or entry level), m, and ef_search */
|
|
||||||
costs.numIndexTuples = (entryLevel + 2) * m;
|
|
||||||
|
|
||||||
genericcostestimate(root, path, loop_count, &costs);
|
if (ratio > 1)
|
||||||
|
ratio = 1;
|
||||||
|
}
|
||||||
|
else
|
||||||
|
ratio = 1;
|
||||||
|
|
||||||
/* Use total cost since most work happens before first tuple is returned */
|
get_tablespace_page_costs(path->indexinfo->reltablespace, NULL, &spc_seq_page_cost);
|
||||||
*indexStartupCost = costs.indexTotalCost;
|
|
||||||
|
/* 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;
|
||||||
*indexTotalCost = costs.indexTotalCost;
|
*indexTotalCost = costs.indexTotalCost;
|
||||||
*indexSelectivity = costs.indexSelectivity;
|
*indexSelectivity = costs.indexSelectivity;
|
||||||
*indexCorrelation = costs.indexCorrelation;
|
*indexCorrelation = costs.indexCorrelation;
|
||||||
|
|||||||
88
src/hnsw.h
88
src/hnsw.h
@@ -88,6 +88,9 @@
|
|||||||
/* Ensure fits on page and in uint8 */
|
/* 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 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))
|
#define HnswGetValue(base, element) PointerGetDatum(HnswPtrAccess(base, (element)->value))
|
||||||
|
|
||||||
#if PG_VERSION_NUM < 140005
|
#if PG_VERSION_NUM < 140005
|
||||||
@@ -106,8 +109,17 @@
|
|||||||
|
|
||||||
/* Variables */
|
/* Variables */
|
||||||
extern int hnsw_ef_search;
|
extern int hnsw_ef_search;
|
||||||
|
extern int hnsw_iterative_search;
|
||||||
|
extern int hnsw_max_search_tuples;
|
||||||
extern int hnsw_lock_tranche_id;
|
extern int hnsw_lock_tranche_id;
|
||||||
|
|
||||||
|
typedef enum HnswIterativeSearchMode
|
||||||
|
{
|
||||||
|
HNSW_ITERATIVE_SEARCH_OFF,
|
||||||
|
HNSW_ITERATIVE_SEARCH_RELAXED,
|
||||||
|
HNSW_ITERATIVE_SEARCH_STRICT
|
||||||
|
} HnswIterativeSearchMode;
|
||||||
|
|
||||||
typedef struct HnswElementData HnswElementData;
|
typedef struct HnswElementData HnswElementData;
|
||||||
typedef struct HnswNeighborArray HnswNeighborArray;
|
typedef struct HnswNeighborArray HnswNeighborArray;
|
||||||
|
|
||||||
@@ -129,6 +141,7 @@ struct HnswElementData
|
|||||||
uint8 heaptidsLength;
|
uint8 heaptidsLength;
|
||||||
uint8 level;
|
uint8 level;
|
||||||
uint8 deleted;
|
uint8 deleted;
|
||||||
|
uint8 version;
|
||||||
uint32 hash;
|
uint32 hash;
|
||||||
HnswNeighborsPtr neighbors;
|
HnswNeighborsPtr neighbors;
|
||||||
BlockNumber blkno;
|
BlockNumber blkno;
|
||||||
@@ -160,7 +173,7 @@ typedef struct HnswSearchCandidate
|
|||||||
pairingheap_node c_node;
|
pairingheap_node c_node;
|
||||||
pairingheap_node w_node;
|
pairingheap_node w_node;
|
||||||
HnswElementPtr element;
|
HnswElementPtr element;
|
||||||
float distance;
|
double distance;
|
||||||
} HnswSearchCandidate;
|
} HnswSearchCandidate;
|
||||||
|
|
||||||
/* HNSW index options */
|
/* HNSW index options */
|
||||||
@@ -185,8 +198,8 @@ typedef struct HnswGraph
|
|||||||
|
|
||||||
/* Allocations state */
|
/* Allocations state */
|
||||||
LWLock allocatorLock;
|
LWLock allocatorLock;
|
||||||
long memoryUsed;
|
Size memoryUsed;
|
||||||
long memoryTotal;
|
Size memoryTotal;
|
||||||
|
|
||||||
/* Flushed state */
|
/* Flushed state */
|
||||||
LWLock flushLock;
|
LWLock flushLock;
|
||||||
@@ -237,6 +250,18 @@ typedef struct HnswTypeInfo
|
|||||||
void (*checkValue) (Pointer v);
|
void (*checkValue) (Pointer v);
|
||||||
} HnswTypeInfo;
|
} HnswTypeInfo;
|
||||||
|
|
||||||
|
typedef struct HnswSupport
|
||||||
|
{
|
||||||
|
FmgrInfo *procinfo;
|
||||||
|
FmgrInfo *normprocinfo;
|
||||||
|
Oid collation;
|
||||||
|
} HnswSupport;
|
||||||
|
|
||||||
|
typedef struct HnswQuery
|
||||||
|
{
|
||||||
|
Datum value;
|
||||||
|
} HnswQuery;
|
||||||
|
|
||||||
typedef struct HnswBuildState
|
typedef struct HnswBuildState
|
||||||
{
|
{
|
||||||
/* Info */
|
/* Info */
|
||||||
@@ -256,9 +281,7 @@ typedef struct HnswBuildState
|
|||||||
double reltuples;
|
double reltuples;
|
||||||
|
|
||||||
/* Support functions */
|
/* Support functions */
|
||||||
FmgrInfo *procinfo;
|
HnswSupport support;
|
||||||
FmgrInfo *normprocinfo;
|
|
||||||
Oid collation;
|
|
||||||
|
|
||||||
/* Variables */
|
/* Variables */
|
||||||
HnswGraph graphData;
|
HnswGraph graphData;
|
||||||
@@ -306,10 +329,10 @@ typedef struct HnswElementTupleData
|
|||||||
uint8 type;
|
uint8 type;
|
||||||
uint8 level;
|
uint8 level;
|
||||||
uint8 deleted;
|
uint8 deleted;
|
||||||
uint8 unused;
|
uint8 version;
|
||||||
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
ItemPointerData heaptids[HNSW_HEAPTIDS];
|
||||||
ItemPointerData neighbortid;
|
ItemPointerData neighbortid;
|
||||||
uint16 unused2;
|
uint16 unused;
|
||||||
Vector data;
|
Vector data;
|
||||||
} HnswElementTupleData;
|
} HnswElementTupleData;
|
||||||
|
|
||||||
@@ -318,24 +341,41 @@ typedef HnswElementTupleData * HnswElementTuple;
|
|||||||
typedef struct HnswNeighborTupleData
|
typedef struct HnswNeighborTupleData
|
||||||
{
|
{
|
||||||
uint8 type;
|
uint8 type;
|
||||||
uint8 unused;
|
uint8 version;
|
||||||
uint16 count;
|
uint16 count;
|
||||||
ItemPointerData indextids[FLEXIBLE_ARRAY_MEMBER];
|
ItemPointerData indextids[FLEXIBLE_ARRAY_MEMBER];
|
||||||
} HnswNeighborTupleData;
|
} HnswNeighborTupleData;
|
||||||
|
|
||||||
typedef HnswNeighborTupleData * HnswNeighborTuple;
|
typedef HnswNeighborTupleData * HnswNeighborTuple;
|
||||||
|
|
||||||
|
typedef union
|
||||||
|
{
|
||||||
|
struct pointerhash_hash *pointers;
|
||||||
|
struct offsethash_hash *offsets;
|
||||||
|
struct tidhash_hash *tids;
|
||||||
|
} visited_hash;
|
||||||
|
|
||||||
|
typedef union
|
||||||
|
{
|
||||||
|
HnswElement element;
|
||||||
|
ItemPointerData indextid;
|
||||||
|
} HnswUnvisited;
|
||||||
|
|
||||||
typedef struct HnswScanOpaqueData
|
typedef struct HnswScanOpaqueData
|
||||||
{
|
{
|
||||||
const HnswTypeInfo *typeInfo;
|
const HnswTypeInfo *typeInfo;
|
||||||
bool first;
|
bool first;
|
||||||
List *w;
|
List *w;
|
||||||
|
visited_hash v;
|
||||||
|
pairingheap *discarded;
|
||||||
|
HnswQuery q;
|
||||||
|
int m;
|
||||||
|
int64 tuples;
|
||||||
|
double previousDistance;
|
||||||
MemoryContext tmpCtx;
|
MemoryContext tmpCtx;
|
||||||
|
|
||||||
/* Support functions */
|
/* Support functions */
|
||||||
FmgrInfo *procinfo;
|
HnswSupport support;
|
||||||
FmgrInfo *normprocinfo;
|
|
||||||
Oid collation;
|
|
||||||
} HnswScanOpaqueData;
|
} HnswScanOpaqueData;
|
||||||
|
|
||||||
typedef HnswScanOpaqueData * HnswScanOpaque;
|
typedef HnswScanOpaqueData * HnswScanOpaque;
|
||||||
@@ -353,8 +393,7 @@ typedef struct HnswVacuumState
|
|||||||
int efConstruction;
|
int efConstruction;
|
||||||
|
|
||||||
/* Support functions */
|
/* Support functions */
|
||||||
FmgrInfo *procinfo;
|
HnswSupport support;
|
||||||
Oid collation;
|
|
||||||
|
|
||||||
/* Variables */
|
/* Variables */
|
||||||
struct tidhash_hash *deleted;
|
struct tidhash_hash *deleted;
|
||||||
@@ -370,30 +409,33 @@ typedef struct HnswVacuumState
|
|||||||
int HnswGetM(Relation index);
|
int HnswGetM(Relation index);
|
||||||
int HnswGetEfConstruction(Relation index);
|
int HnswGetEfConstruction(Relation index);
|
||||||
FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
|
FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
|
||||||
|
void HnswInitSupport(HnswSupport * support, Relation index);
|
||||||
Datum HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value);
|
Datum HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value);
|
||||||
bool HnswCheckNorm(FmgrInfo *procinfo, Oid collation, Datum value);
|
bool HnswCheckNorm(HnswSupport * support, Datum value);
|
||||||
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
|
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
|
||||||
void HnswInitPage(Buffer buf, Page page);
|
void HnswInitPage(Buffer buf, Page page);
|
||||||
void HnswInit(void);
|
void HnswInit(void);
|
||||||
List *HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement);
|
List *HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples);
|
||||||
HnswElement HnswGetEntryPoint(Relation index);
|
HnswElement HnswGetEntryPoint(Relation index);
|
||||||
void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
|
void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
|
||||||
void *HnswAlloc(HnswAllocator * allocator, Size size);
|
void *HnswAlloc(HnswAllocator * allocator, Size size);
|
||||||
HnswElement HnswInitElement(char *base, ItemPointer tid, int m, double ml, int maxLevel, HnswAllocator * alloc);
|
HnswElement HnswInitElement(char *base, ItemPointer tid, int m, double ml, int maxLevel, HnswAllocator * alloc);
|
||||||
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
|
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
|
||||||
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing);
|
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing);
|
||||||
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, bool loadVec);
|
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, HnswQuery * q, Relation rel, HnswSupport * support, bool loadVec);
|
||||||
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
|
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
|
||||||
void HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m);
|
void HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m);
|
||||||
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
|
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
|
||||||
|
HnswNeighborArray *HnswInitNeighborArray(int lm, HnswAllocator * allocator);
|
||||||
void HnswInitNeighbors(char *base, HnswElement element, int m, HnswAllocator * alloc);
|
void HnswInitNeighbors(char *base, HnswElement element, int m, HnswAllocator * alloc);
|
||||||
bool HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull, ItemPointer heap_tid, bool building);
|
bool HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building);
|
||||||
void HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building);
|
void HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e, int m, bool checkExisting, bool building);
|
||||||
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec);
|
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec);
|
||||||
void HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec, float *maxDistance);
|
void HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance);
|
||||||
|
bool HnswFormIndexValue(Datum *out, Datum *values, bool *isnull, const HnswTypeInfo * typeInfo, HnswSupport * support);
|
||||||
void HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element);
|
void HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element);
|
||||||
void HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
|
void HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newElement, float distance, int lm, int *updateIdx, Relation index, HnswSupport * support);
|
||||||
void HnswLoadNeighbors(HnswElement element, Relation index, int m);
|
bool HnswLoadNeighborTids(HnswElement element, ItemPointerData *indextids, Relation index, int m, int lm, int lc);
|
||||||
void HnswInitLockTranche(void);
|
void HnswInitLockTranche(void);
|
||||||
const HnswTypeInfo *HnswGetTypeInfo(Relation index);
|
const HnswTypeInfo *HnswGetTypeInfo(Relation index);
|
||||||
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
|
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
|
||||||
|
|||||||
@@ -366,7 +366,7 @@ AddElementInMemory(char *base, HnswGraph * graph, HnswElement element)
|
|||||||
* Update neighbors
|
* Update neighbors
|
||||||
*/
|
*/
|
||||||
static void
|
static void
|
||||||
UpdateNeighborsInMemory(char *base, FmgrInfo *procinfo, Oid collation, HnswElement e, int m)
|
UpdateNeighborsInMemory(char *base, HnswSupport * support, HnswElement e, int m)
|
||||||
{
|
{
|
||||||
for (int lc = e->level; lc >= 0; lc--)
|
for (int lc = e->level; lc >= 0; lc--)
|
||||||
{
|
{
|
||||||
@@ -388,7 +388,7 @@ UpdateNeighborsInMemory(char *base, FmgrInfo *procinfo, Oid collation, HnswEleme
|
|||||||
Assert(neighborElement);
|
Assert(neighborElement);
|
||||||
|
|
||||||
LWLockAcquire(&neighborElement->lock, LW_EXCLUSIVE);
|
LWLockAcquire(&neighborElement->lock, LW_EXCLUSIVE);
|
||||||
HnswUpdateConnection(base, e, hc, lm, lc, NULL, NULL, procinfo, collation);
|
HnswUpdateConnection(base, HnswGetNeighbors(base, neighborElement, lc), e, hc->distance, lm, NULL, NULL, support);
|
||||||
LWLockRelease(&neighborElement->lock);
|
LWLockRelease(&neighborElement->lock);
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
@@ -398,7 +398,7 @@ UpdateNeighborsInMemory(char *base, FmgrInfo *procinfo, Oid collation, HnswEleme
|
|||||||
* Update graph in memory
|
* Update graph in memory
|
||||||
*/
|
*/
|
||||||
static void
|
static void
|
||||||
UpdateGraphInMemory(FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement entryPoint, HnswBuildState * buildstate)
|
UpdateGraphInMemory(HnswSupport * support, HnswElement element, int m, int efConstruction, HnswElement entryPoint, HnswBuildState * buildstate)
|
||||||
{
|
{
|
||||||
HnswGraph *graph = buildstate->graph;
|
HnswGraph *graph = buildstate->graph;
|
||||||
char *base = buildstate->hnswarea;
|
char *base = buildstate->hnswarea;
|
||||||
@@ -411,7 +411,7 @@ UpdateGraphInMemory(FmgrInfo *procinfo, Oid collation, HnswElement element, int
|
|||||||
AddElementInMemory(base, graph, element);
|
AddElementInMemory(base, graph, element);
|
||||||
|
|
||||||
/* Update neighbors */
|
/* Update neighbors */
|
||||||
UpdateNeighborsInMemory(base, procinfo, collation, element, m);
|
UpdateNeighborsInMemory(base, support, element, m);
|
||||||
|
|
||||||
/* Update entry point if needed (already have lock) */
|
/* Update entry point if needed (already have lock) */
|
||||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||||
@@ -424,9 +424,8 @@ UpdateGraphInMemory(FmgrInfo *procinfo, Oid collation, HnswElement element, int
|
|||||||
static void
|
static void
|
||||||
InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
||||||
{
|
{
|
||||||
FmgrInfo *procinfo = buildstate->procinfo;
|
|
||||||
Oid collation = buildstate->collation;
|
|
||||||
HnswGraph *graph = buildstate->graph;
|
HnswGraph *graph = buildstate->graph;
|
||||||
|
HnswSupport *support = &buildstate->support;
|
||||||
HnswElement entryPoint;
|
HnswElement entryPoint;
|
||||||
LWLock *entryLock = &graph->entryLock;
|
LWLock *entryLock = &graph->entryLock;
|
||||||
LWLock *entryWaitLock = &graph->entryWaitLock;
|
LWLock *entryWaitLock = &graph->entryWaitLock;
|
||||||
@@ -458,10 +457,10 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
|||||||
}
|
}
|
||||||
|
|
||||||
/* Find neighbors for element */
|
/* Find neighbors for element */
|
||||||
HnswFindElementNeighbors(base, element, entryPoint, NULL, procinfo, collation, m, efConstruction, false);
|
HnswFindElementNeighbors(base, element, entryPoint, NULL, support, m, efConstruction, false);
|
||||||
|
|
||||||
/* Update graph in memory */
|
/* Update graph in memory */
|
||||||
UpdateGraphInMemory(procinfo, collation, element, m, efConstruction, entryPoint, buildstate);
|
UpdateGraphInMemory(support, element, m, efConstruction, entryPoint, buildstate);
|
||||||
|
|
||||||
/* Release entry lock */
|
/* Release entry lock */
|
||||||
LWLockRelease(entryLock);
|
LWLockRelease(entryLock);
|
||||||
@@ -473,30 +472,19 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
|
|||||||
static bool
|
static bool
|
||||||
InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, HnswBuildState * buildstate)
|
InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, HnswBuildState * buildstate)
|
||||||
{
|
{
|
||||||
const HnswTypeInfo *typeInfo = buildstate->typeInfo;
|
|
||||||
HnswGraph *graph = buildstate->graph;
|
HnswGraph *graph = buildstate->graph;
|
||||||
HnswElement element;
|
HnswElement element;
|
||||||
HnswAllocator *allocator = &buildstate->allocator;
|
HnswAllocator *allocator = &buildstate->allocator;
|
||||||
|
HnswSupport *support = &buildstate->support;
|
||||||
Size valueSize;
|
Size valueSize;
|
||||||
Pointer valuePtr;
|
Pointer valuePtr;
|
||||||
LWLock *flushLock = &graph->flushLock;
|
LWLock *flushLock = &graph->flushLock;
|
||||||
char *base = buildstate->hnswarea;
|
char *base = buildstate->hnswarea;
|
||||||
|
Datum value;
|
||||||
|
|
||||||
/* Detoast once for all calls */
|
/* Form index value */
|
||||||
Datum value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
if (!HnswFormIndexValue(&value, values, isnull, buildstate->typeInfo, support))
|
||||||
|
return false;
|
||||||
/* 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 */
|
/* Get datum size */
|
||||||
valueSize = VARSIZE_ANY(DatumGetPointer(value));
|
valueSize = VARSIZE_ANY(DatumGetPointer(value));
|
||||||
@@ -509,7 +497,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
|||||||
{
|
{
|
||||||
LWLockRelease(flushLock);
|
LWLockRelease(flushLock);
|
||||||
|
|
||||||
return HnswInsertTupleOnDisk(index, value, values, isnull, heaptid, true);
|
return HnswInsertTupleOnDisk(index, support, value, heaptid, true);
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -541,7 +529,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid, Hn
|
|||||||
|
|
||||||
LWLockRelease(flushLock);
|
LWLockRelease(flushLock);
|
||||||
|
|
||||||
return HnswInsertTupleOnDisk(index, value, values, isnull, heaptid, true);
|
return HnswInsertTupleOnDisk(index, support, value, heaptid, true);
|
||||||
}
|
}
|
||||||
|
|
||||||
/* Ok, we can proceed to allocate the element */
|
/* Ok, we can proceed to allocate the element */
|
||||||
@@ -607,7 +595,7 @@ BuildCallback(Relation index, ItemPointer tid, Datum *values,
|
|||||||
* Initialize the graph
|
* Initialize the graph
|
||||||
*/
|
*/
|
||||||
static void
|
static void
|
||||||
InitGraph(HnswGraph * graph, char *base, long memoryTotal)
|
InitGraph(HnswGraph * graph, char *base, Size memoryTotal)
|
||||||
{
|
{
|
||||||
/* Initialize the lock tranche if needed */
|
/* Initialize the lock tranche if needed */
|
||||||
HnswInitLockTranche();
|
HnswInitLockTranche();
|
||||||
@@ -704,11 +692,9 @@ InitBuildState(HnswBuildState * buildstate, Relation heap, Relation index, Index
|
|||||||
buildstate->indtuples = 0;
|
buildstate->indtuples = 0;
|
||||||
|
|
||||||
/* Get support functions */
|
/* Get support functions */
|
||||||
buildstate->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
HnswInitSupport(&buildstate->support, index);
|
||||||
buildstate->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
|
||||||
buildstate->collation = index->rd_indcollation[0];
|
|
||||||
|
|
||||||
InitGraph(&buildstate->graphData, NULL, maintenance_work_mem * 1024L);
|
InitGraph(&buildstate->graphData, NULL, (Size) maintenance_work_mem * 1024L);
|
||||||
buildstate->graph = &buildstate->graphData;
|
buildstate->graph = &buildstate->graphData;
|
||||||
buildstate->ml = HnswGetMl(buildstate->m);
|
buildstate->ml = HnswGetMl(buildstate->m);
|
||||||
buildstate->maxLevel = HnswGetMaxLevel(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
|
* Check for a free offset
|
||||||
*/
|
*/
|
||||||
static bool
|
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 offno;
|
||||||
OffsetNumber maxoffno = PageGetMaxOffsetNumber(page);
|
OffsetNumber maxoffno = PageGetMaxOffsetNumber(page);
|
||||||
@@ -98,6 +98,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
|
|||||||
{
|
{
|
||||||
*freeOffno = offno;
|
*freeOffno = offno;
|
||||||
*freeNeighborOffno = neighborOffno;
|
*freeNeighborOffno = neighborOffno;
|
||||||
|
*tupleVersion = etup->version;
|
||||||
return true;
|
return true;
|
||||||
}
|
}
|
||||||
else if (*nbuf != buf)
|
else if (*nbuf != buf)
|
||||||
@@ -153,6 +154,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
|||||||
OffsetNumber freeOffno = InvalidOffsetNumber;
|
OffsetNumber freeOffno = InvalidOffsetNumber;
|
||||||
OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
|
OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
|
||||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||||
|
uint8 tupleVersion;
|
||||||
char *base = NULL;
|
char *base = NULL;
|
||||||
|
|
||||||
/* Calculate sizes */
|
/* Calculate sizes */
|
||||||
@@ -202,7 +204,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
|||||||
}
|
}
|
||||||
|
|
||||||
/* Next, try space from a deleted element */
|
/* 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)
|
if (nbuf != buf)
|
||||||
{
|
{
|
||||||
@@ -212,6 +214,10 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
|||||||
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
|
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
/* Set tuple version */
|
||||||
|
etup->version = tupleVersion;
|
||||||
|
ntup->version = tupleVersion;
|
||||||
|
|
||||||
break;
|
break;
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -334,6 +340,107 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
|||||||
*updatedInsertPage = newInsertPage;
|
*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
|
* Check if connection already exists
|
||||||
*/
|
*/
|
||||||
@@ -354,14 +461,94 @@ ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
|
|||||||
return false;
|
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
|
* Update neighbors
|
||||||
*/
|
*/
|
||||||
void
|
void
|
||||||
HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building)
|
HnswUpdateNeighborsOnDisk(Relation index, HnswSupport * support, HnswElement e, int m, bool checkExisting, bool building)
|
||||||
{
|
{
|
||||||
char *base = NULL;
|
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--)
|
for (int lc = e->level; lc >= 0; lc--)
|
||||||
{
|
{
|
||||||
int lm = HnswGetLayerM(m, lc);
|
int lm = HnswGetLayerM(m, lc);
|
||||||
@@ -370,96 +557,20 @@ HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, Hns
|
|||||||
for (int i = 0; i < neighbors->length; i++)
|
for (int i = 0; i < neighbors->length; i++)
|
||||||
{
|
{
|
||||||
HnswCandidate *hc = &neighbors->items[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);
|
HnswElement neighborElement = HnswPtrAccess(base, hc->element);
|
||||||
OffsetNumber offno = neighborElement->neighborOffno;
|
int idx;
|
||||||
|
|
||||||
/*
|
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 */
|
/* New element was not selected as a neighbor */
|
||||||
if (idx == -1)
|
if (idx == -1)
|
||||||
continue;
|
continue;
|
||||||
|
|
||||||
/* Register page */
|
UpdateNeighborOnDisk(neighborElement, e, idx, m, lm, lc, index, checkExisting, building);
|
||||||
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);
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -549,7 +660,7 @@ FindDuplicateOnDisk(Relation index, HnswElement element, bool building)
|
|||||||
* Update graph on disk
|
* Update graph on disk
|
||||||
*/
|
*/
|
||||||
static void
|
static void
|
||||||
UpdateGraphOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
|
UpdateGraphOnDisk(Relation index, HnswSupport * support, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
|
||||||
{
|
{
|
||||||
BlockNumber newInsertPage = InvalidBlockNumber;
|
BlockNumber newInsertPage = InvalidBlockNumber;
|
||||||
|
|
||||||
@@ -565,7 +676,7 @@ UpdateGraphOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement
|
|||||||
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
|
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
|
||||||
|
|
||||||
/* Update neighbors */
|
/* Update neighbors */
|
||||||
HnswUpdateNeighborsOnDisk(index, procinfo, collation, element, m, false, building);
|
HnswUpdateNeighborsOnDisk(index, support, element, m, false, building);
|
||||||
|
|
||||||
/* Update entry point if needed */
|
/* Update entry point if needed */
|
||||||
if (entryPoint == NULL || element->level > entryPoint->level)
|
if (entryPoint == NULL || element->level > entryPoint->level)
|
||||||
@@ -576,14 +687,12 @@ UpdateGraphOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement
|
|||||||
* Insert a tuple into the index
|
* Insert a tuple into the index
|
||||||
*/
|
*/
|
||||||
bool
|
bool
|
||||||
HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull, ItemPointer heap_tid, bool building)
|
HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPointer heaptid, bool building)
|
||||||
{
|
{
|
||||||
HnswElement entryPoint;
|
HnswElement entryPoint;
|
||||||
HnswElement element;
|
HnswElement element;
|
||||||
int m;
|
int m;
|
||||||
int efConstruction = HnswGetEfConstruction(index);
|
int efConstruction = HnswGetEfConstruction(index);
|
||||||
FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
|
||||||
Oid collation = index->rd_indcollation[0];
|
|
||||||
LOCKMODE lockmode = ShareLock;
|
LOCKMODE lockmode = ShareLock;
|
||||||
char *base = NULL;
|
char *base = NULL;
|
||||||
|
|
||||||
@@ -598,7 +707,7 @@ HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull,
|
|||||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||||
|
|
||||||
/* Create an element */
|
/* Create an element */
|
||||||
element = HnswInitElement(base, heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
|
element = HnswInitElement(base, heaptid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
|
||||||
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
HnswPtrStore(base, element->value, DatumGetPointer(value));
|
||||||
|
|
||||||
/* Prevent concurrent inserts when likely updating entry point */
|
/* Prevent concurrent inserts when likely updating entry point */
|
||||||
@@ -616,10 +725,10 @@ HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull,
|
|||||||
}
|
}
|
||||||
|
|
||||||
/* Find neighbors for element */
|
/* Find neighbors for element */
|
||||||
HnswFindElementNeighbors(base, element, entryPoint, index, procinfo, collation, m, efConstruction, false);
|
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false);
|
||||||
|
|
||||||
/* Update graph on disk */
|
/* Update graph on disk */
|
||||||
UpdateGraphOnDisk(index, procinfo, collation, element, m, efConstruction, entryPoint, building);
|
UpdateGraphOnDisk(index, support, element, m, efConstruction, entryPoint, building);
|
||||||
|
|
||||||
/* Release lock */
|
/* Release lock */
|
||||||
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
|
||||||
@@ -631,31 +740,19 @@ HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull,
|
|||||||
* Insert a tuple into the index
|
* Insert a tuple into the index
|
||||||
*/
|
*/
|
||||||
static void
|
static void
|
||||||
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid)
|
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heaptid)
|
||||||
{
|
{
|
||||||
Datum value;
|
Datum value;
|
||||||
const HnswTypeInfo *typeInfo = HnswGetTypeInfo(index);
|
const HnswTypeInfo *typeInfo = HnswGetTypeInfo(index);
|
||||||
FmgrInfo *normprocinfo;
|
HnswSupport support;
|
||||||
Oid collation = index->rd_indcollation[0];
|
|
||||||
|
|
||||||
/* Detoast once for all calls */
|
HnswInitSupport(&support, index);
|
||||||
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
|
|
||||||
|
|
||||||
/* Check value */
|
/* Form index value */
|
||||||
if (typeInfo->checkValue != NULL)
|
if (!HnswFormIndexValue(&value, values, isnull, typeInfo, &support))
|
||||||
typeInfo->checkValue(DatumGetPointer(value));
|
return;
|
||||||
|
|
||||||
/* Normalize if needed */
|
HnswInsertTupleOnDisk(index, &support, value, heaptid, false);
|
||||||
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);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
|
|||||||
169
src/hnswscan.c
169
src/hnswscan.c
@@ -5,39 +5,74 @@
|
|||||||
#include "pgstat.h"
|
#include "pgstat.h"
|
||||||
#include "storage/bufmgr.h"
|
#include "storage/bufmgr.h"
|
||||||
#include "storage/lmgr.h"
|
#include "storage/lmgr.h"
|
||||||
|
#include "utils/float.h"
|
||||||
#include "utils/memutils.h"
|
#include "utils/memutils.h"
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Algorithm 5 from paper
|
* Algorithm 5 from paper
|
||||||
*/
|
*/
|
||||||
static List *
|
static List *
|
||||||
GetScanItems(IndexScanDesc scan, Datum q)
|
GetScanItems(IndexScanDesc scan, Datum value)
|
||||||
{
|
{
|
||||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||||
Relation index = scan->indexRelation;
|
Relation index = scan->indexRelation;
|
||||||
FmgrInfo *procinfo = so->procinfo;
|
HnswSupport *support = &so->support;
|
||||||
Oid collation = so->collation;
|
|
||||||
List *ep;
|
List *ep;
|
||||||
List *w;
|
List *w;
|
||||||
int m;
|
int m;
|
||||||
HnswElement entryPoint;
|
HnswElement entryPoint;
|
||||||
char *base = NULL;
|
char *base = NULL;
|
||||||
|
HnswQuery *q = &so->q;
|
||||||
|
|
||||||
/* Get m and entry point */
|
/* Get m and entry point */
|
||||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||||
|
|
||||||
|
q->value = value;
|
||||||
|
so->m = m;
|
||||||
|
|
||||||
if (entryPoint == NULL)
|
if (entryPoint == NULL)
|
||||||
return NIL;
|
return NIL;
|
||||||
|
|
||||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, procinfo, collation, false));
|
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, support, false));
|
||||||
|
|
||||||
for (int lc = entryPoint->level; lc >= 1; lc--)
|
for (int lc = entryPoint->level; lc >= 1; lc--)
|
||||||
{
|
{
|
||||||
w = HnswSearchLayer(base, q, ep, 1, lc, index, procinfo, collation, m, false, NULL);
|
w = HnswSearchLayer(base, q, ep, 1, lc, index, support, m, false, NULL, NULL, NULL, true, NULL);
|
||||||
ep = w;
|
ep = w;
|
||||||
}
|
}
|
||||||
|
|
||||||
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL);
|
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, &so->v, hnsw_iterative_search != HNSW_ITERATIVE_SEARCH_OFF ? &so->discarded : NULL, true, &so->tuples);
|
||||||
|
}
|
||||||
|
|
||||||
|
/*
|
||||||
|
* Resume scan at ground level with discarded candidates
|
||||||
|
*/
|
||||||
|
static List *
|
||||||
|
ResumeScanItems(IndexScanDesc scan)
|
||||||
|
{
|
||||||
|
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||||
|
Relation index = scan->indexRelation;
|
||||||
|
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 *sc;
|
||||||
|
|
||||||
|
if (pairingheap_is_empty(so->discarded))
|
||||||
|
break;
|
||||||
|
|
||||||
|
sc = HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded));
|
||||||
|
|
||||||
|
ep = lappend(ep, sc);
|
||||||
|
}
|
||||||
|
|
||||||
|
return HnswSearchLayer(base, &so->q, ep, batch_size, 0, index, &so->support, so->m, false, NULL, &so->v, &so->discarded, false, &so->tuples);
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -60,13 +95,24 @@ GetScanValue(IndexScanDesc scan)
|
|||||||
Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
|
Assert(!VARATT_IS_EXTENDED(DatumGetPointer(value)));
|
||||||
|
|
||||||
/* Normalize if needed */
|
/* Normalize if needed */
|
||||||
if (so->normprocinfo != NULL)
|
if (so->support.normprocinfo != NULL)
|
||||||
value = HnswNormValue(so->typeInfo, so->collation, value);
|
value = HnswNormValue(so->typeInfo, so->support.collation, value);
|
||||||
}
|
}
|
||||||
|
|
||||||
return value;
|
return value;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
#if defined(HNSW_MEMORY)
|
||||||
|
/*
|
||||||
|
* Show memory usage
|
||||||
|
*/
|
||||||
|
static void
|
||||||
|
ShowMemoryUsage(HnswScanOpaque so)
|
||||||
|
{
|
||||||
|
elog(INFO, "memory: %zu KB, tuples: " INT64_FORMAT, MemoryContextMemAllocated(so->tmpCtx, false) / 1024, so->tuples);
|
||||||
|
}
|
||||||
|
#endif
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Prepare for an index scan
|
* Prepare for an index scan
|
||||||
*/
|
*/
|
||||||
@@ -81,14 +127,19 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
|
|||||||
so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData));
|
so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData));
|
||||||
so->typeInfo = HnswGetTypeInfo(index);
|
so->typeInfo = HnswGetTypeInfo(index);
|
||||||
so->first = true;
|
so->first = true;
|
||||||
|
so->v.tids = NULL;
|
||||||
|
so->discarded = NULL;
|
||||||
|
|
||||||
|
/*
|
||||||
|
* Use a lower max allocation size than default to allow scanning more
|
||||||
|
* tuples for iterative search before exceeding work_mem
|
||||||
|
*/
|
||||||
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||||
"Hnsw scan temporary context",
|
"Hnsw scan temporary context",
|
||||||
ALLOCSET_DEFAULT_SIZES);
|
0, 8 * 1024, 512 * 1024);
|
||||||
|
|
||||||
/* Set support functions */
|
/* Set support functions */
|
||||||
so->procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
|
HnswInitSupport(&so->support, index);
|
||||||
so->normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
|
|
||||||
so->collation = index->rd_indcollation[0];
|
|
||||||
|
|
||||||
scan->opaque = so;
|
scan->opaque = so;
|
||||||
|
|
||||||
@@ -103,7 +154,15 @@ hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int no
|
|||||||
{
|
{
|
||||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||||
|
|
||||||
|
if (so->v.tids != NULL)
|
||||||
|
tidhash_reset(so->v.tids);
|
||||||
|
|
||||||
|
if (so->discarded != NULL)
|
||||||
|
pairingheap_reset(so->discarded);
|
||||||
|
|
||||||
so->first = true;
|
so->first = true;
|
||||||
|
so->tuples = 0;
|
||||||
|
so->previousDistance = -get_float8_infinity();
|
||||||
MemoryContextReset(so->tmpCtx);
|
MemoryContextReset(so->tmpCtx);
|
||||||
|
|
||||||
if (keys && scan->numberOfKeys > 0)
|
if (keys && scan->numberOfKeys > 0)
|
||||||
@@ -161,26 +220,104 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
|||||||
so->first = false;
|
so->first = false;
|
||||||
|
|
||||||
#if defined(HNSW_MEMORY)
|
#if defined(HNSW_MEMORY)
|
||||||
elog(INFO, "memory: %zu KB", MemoryContextMemAllocated(so->tmpCtx, false) / 1024);
|
ShowMemoryUsage(so);
|
||||||
#endif
|
#endif
|
||||||
}
|
}
|
||||||
|
|
||||||
while (list_length(so->w) > 0)
|
for (;;)
|
||||||
{
|
{
|
||||||
char *base = NULL;
|
char *base = NULL;
|
||||||
HnswSearchCandidate *hc = llast(so->w);
|
HnswSearchCandidate *sc;
|
||||||
HnswElement element = HnswPtrAccess(base, hc->element);
|
HnswElement element;
|
||||||
ItemPointer heaptid;
|
ItemPointer heaptid;
|
||||||
|
|
||||||
|
if (list_length(so->w) == 0)
|
||||||
|
{
|
||||||
|
if (hnsw_iterative_search == HNSW_ITERATIVE_SEARCH_OFF)
|
||||||
|
break;
|
||||||
|
|
||||||
|
/* Empty index */
|
||||||
|
if (so->discarded == NULL)
|
||||||
|
break;
|
||||||
|
|
||||||
|
/* Reached max number of tuples */
|
||||||
|
if (hnsw_max_search_tuples != -1 && so->tuples >= hnsw_max_search_tuples)
|
||||||
|
{
|
||||||
|
if (pairingheap_is_empty(so->discarded))
|
||||||
|
break;
|
||||||
|
|
||||||
|
/* Return remaining tuples */
|
||||||
|
so->w = lappend(so->w, HnswGetSearchCandidate(w_node, pairingheap_remove_first(so->discarded)));
|
||||||
|
}
|
||||||
|
/* Prevent scans from consuming too much memory */
|
||||||
|
else if (MemoryContextMemAllocated(so->tmpCtx, false) > (Size) work_mem * 1024L)
|
||||||
|
{
|
||||||
|
if (pairingheap_is_empty(so->discarded))
|
||||||
|
{
|
||||||
|
ereport(DEBUG1,
|
||||||
|
(errmsg("hnsw index scan exceeded work_mem after " INT64_FORMAT " tuples", so->tuples),
|
||||||
|
errhint("Increase work_mem to scan more tuples.")));
|
||||||
|
|
||||||
|
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);
|
||||||
|
|
||||||
|
so->w = ResumeScanItems(scan);
|
||||||
|
|
||||||
|
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
|
||||||
|
|
||||||
|
#if defined(HNSW_MEMORY)
|
||||||
|
ShowMemoryUsage(so);
|
||||||
|
#endif
|
||||||
|
}
|
||||||
|
|
||||||
|
if (list_length(so->w) == 0)
|
||||||
|
break;
|
||||||
|
}
|
||||||
|
|
||||||
|
sc = llast(so->w);
|
||||||
|
element = HnswPtrAccess(base, sc->element);
|
||||||
|
|
||||||
/* Move to next element if no valid heap TIDs */
|
/* Move to next element if no valid heap TIDs */
|
||||||
if (element->heaptidsLength == 0)
|
if (element->heaptidsLength == 0)
|
||||||
{
|
{
|
||||||
so->w = list_delete_last(so->w);
|
so->w = list_delete_last(so->w);
|
||||||
|
|
||||||
|
/* Mark memory as free for next iteration */
|
||||||
|
if (hnsw_iterative_search != HNSW_ITERATIVE_SEARCH_OFF)
|
||||||
|
{
|
||||||
|
pfree(element);
|
||||||
|
pfree(sc);
|
||||||
|
}
|
||||||
|
|
||||||
continue;
|
continue;
|
||||||
}
|
}
|
||||||
|
|
||||||
heaptid = &element->heaptids[--element->heaptidsLength];
|
heaptid = &element->heaptids[--element->heaptidsLength];
|
||||||
|
|
||||||
|
if (hnsw_iterative_search == HNSW_ITERATIVE_SEARCH_STRICT)
|
||||||
|
{
|
||||||
|
if (sc->distance < so->previousDistance)
|
||||||
|
continue;
|
||||||
|
|
||||||
|
so->previousDistance = sc->distance;
|
||||||
|
}
|
||||||
|
|
||||||
MemoryContextSwitchTo(oldCtx);
|
MemoryContextSwitchTo(oldCtx);
|
||||||
|
|
||||||
scan->xs_heaptid = *heaptid;
|
scan->xs_heaptid = *heaptid;
|
||||||
|
|||||||
460
src/hnswutils.c
460
src/hnswutils.c
@@ -101,19 +101,6 @@ hash_offset(Size offset)
|
|||||||
#define SH_DEFINE
|
#define SH_DEFINE
|
||||||
#include "lib/simplehash.h"
|
#include "lib/simplehash.h"
|
||||||
|
|
||||||
typedef union
|
|
||||||
{
|
|
||||||
pointerhash_hash *pointers;
|
|
||||||
offsethash_hash *offsets;
|
|
||||||
tidhash_hash *tids;
|
|
||||||
} visited_hash;
|
|
||||||
|
|
||||||
typedef union
|
|
||||||
{
|
|
||||||
HnswElement element;
|
|
||||||
ItemPointerData indextid;
|
|
||||||
} HnswUnvisited;
|
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Get the max number of connections in an upper layer for each element in the index
|
* Get the max number of connections in an upper layer for each element in the index
|
||||||
*/
|
*/
|
||||||
@@ -154,6 +141,17 @@ HnswOptionalProcInfo(Relation index, uint16 procnum)
|
|||||||
return index_getprocinfo(index, 1, 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
|
* Normalize value
|
||||||
*/
|
*/
|
||||||
@@ -170,9 +168,9 @@ HnswNormValue(const HnswTypeInfo * typeInfo, Oid collation, Datum value)
|
|||||||
* Check if non-zero norm
|
* Check if non-zero norm
|
||||||
*/
|
*/
|
||||||
bool
|
bool
|
||||||
HnswCheckNorm(FmgrInfo *procinfo, Oid collation, Datum value)
|
HnswCheckNorm(HnswSupport * support, Datum value)
|
||||||
{
|
{
|
||||||
return DatumGetFloat8(FunctionCall1Coll(procinfo, collation, value)) > 0;
|
return DatumGetFloat8(FunctionCall1Coll(support->normprocinfo, support->collation, value)) > 0;
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -201,7 +199,7 @@ HnswInitPage(Buffer buf, Page page)
|
|||||||
/*
|
/*
|
||||||
* Allocate a neighbor array
|
* Allocate a neighbor array
|
||||||
*/
|
*/
|
||||||
static HnswNeighborArray *
|
HnswNeighborArray *
|
||||||
HnswInitNeighborArray(int lm, HnswAllocator * allocator)
|
HnswInitNeighborArray(int lm, HnswAllocator * allocator)
|
||||||
{
|
{
|
||||||
HnswNeighborArray *a = HnswAlloc(allocator, HNSW_NEIGHBOR_ARRAY_SIZE(lm));
|
HnswNeighborArray *a = HnswAlloc(allocator, HNSW_NEIGHBOR_ARRAY_SIZE(lm));
|
||||||
@@ -257,6 +255,8 @@ HnswInitElement(char *base, ItemPointer heaptid, int m, double ml, int maxLevel,
|
|||||||
|
|
||||||
element->level = level;
|
element->level = level;
|
||||||
element->deleted = 0;
|
element->deleted = 0;
|
||||||
|
/* Start at one to make it easier to find issues */
|
||||||
|
element->version = 1;
|
||||||
|
|
||||||
HnswInitNeighbors(base, element, m, allocator);
|
HnswInitNeighbors(base, element, m, allocator);
|
||||||
|
|
||||||
@@ -398,6 +398,33 @@ HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, Bloc
|
|||||||
UnlockReleaseBuffer(buf);
|
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
|
* Set element tuple, except for neighbor info
|
||||||
*/
|
*/
|
||||||
@@ -409,6 +436,7 @@ HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element)
|
|||||||
etup->type = HNSW_ELEMENT_TUPLE_TYPE;
|
etup->type = HNSW_ELEMENT_TUPLE_TYPE;
|
||||||
etup->level = element->level;
|
etup->level = element->level;
|
||||||
etup->deleted = 0;
|
etup->deleted = 0;
|
||||||
|
etup->version = element->version;
|
||||||
for (int i = 0; i < HNSW_HEAPTIDS; i++)
|
for (int i = 0; i < HNSW_HEAPTIDS; i++)
|
||||||
{
|
{
|
||||||
if (i < element->heaptidsLength)
|
if (i < element->heaptidsLength)
|
||||||
@@ -451,69 +479,7 @@ HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
|||||||
}
|
}
|
||||||
|
|
||||||
ntup->count = idx;
|
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);
|
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -524,6 +490,7 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
|||||||
{
|
{
|
||||||
element->level = etup->level;
|
element->level = etup->level;
|
||||||
element->deleted = etup->deleted;
|
element->deleted = etup->deleted;
|
||||||
|
element->version = etup->version;
|
||||||
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||||
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||||
element->heaptidsLength = 0;
|
element->heaptidsLength = 0;
|
||||||
@@ -549,11 +516,20 @@ 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
|
* Load an element and optionally get its distance from q
|
||||||
*/
|
*/
|
||||||
static void
|
static void
|
||||||
HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec, float *maxDistance, HnswElement * element)
|
HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
|
||||||
{
|
{
|
||||||
Buffer buf;
|
Buffer buf;
|
||||||
Page page;
|
Page page;
|
||||||
@@ -571,16 +547,16 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, float *distance, Datu
|
|||||||
/* Calculate distance */
|
/* Calculate distance */
|
||||||
if (distance != NULL)
|
if (distance != NULL)
|
||||||
{
|
{
|
||||||
if (DatumGetPointer(*q) == NULL)
|
if (DatumGetPointer(q->value) == NULL)
|
||||||
*distance = 0;
|
*distance = 0;
|
||||||
else
|
else
|
||||||
{
|
{
|
||||||
*distance = (float) DatumGetFloat8(FunctionCall2Coll(procinfo, collation, *q, PointerGetDatum(&etup->data)));
|
*distance = HnswGetDistance(q->value, PointerGetDatum(&etup->data), support);
|
||||||
|
|
||||||
/* Needed for intvec cosine distance */
|
/* Needed for intvec cosine distance */
|
||||||
/* TODO Improve */
|
/* TODO Improve */
|
||||||
if (isnan(*distance))
|
if (isnan(*distance))
|
||||||
*distance = FLT_MAX;
|
*distance = DBL_MAX;
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -600,40 +576,51 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, float *distance, Datu
|
|||||||
* Load an element and optionally get its distance from q
|
* Load an element and optionally get its distance from q
|
||||||
*/
|
*/
|
||||||
void
|
void
|
||||||
HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec, float *maxDistance)
|
HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance)
|
||||||
{
|
{
|
||||||
HnswLoadElementImpl(element->blkno, element->offno, distance, q, index, procinfo, collation, loadVec, maxDistance, &element);
|
HnswLoadElementImpl(element->blkno, element->offno, distance, q, index, support, loadVec, maxDistance, &element);
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Get the distance for an element
|
* Get the distance for an element
|
||||||
*/
|
*/
|
||||||
static float
|
static double
|
||||||
GetElementDistance(char *base, HnswElement element, Datum q, FmgrInfo *procinfo, Oid collation)
|
GetElementDistance(char *base, HnswElement element, HnswQuery * q, HnswSupport * support)
|
||||||
{
|
{
|
||||||
Datum value = HnswGetValue(base, element);
|
Datum value = HnswGetValue(base, element);
|
||||||
|
|
||||||
return DatumGetFloat8(FunctionCall2Coll(procinfo, collation, q, value));
|
return HnswGetDistance(q->value, value, support);
|
||||||
|
}
|
||||||
|
|
||||||
|
/*
|
||||||
|
* Allocate a search candidate
|
||||||
|
*/
|
||||||
|
static HnswSearchCandidate *
|
||||||
|
HnswInitSearchCandidate(char *base, HnswElement element, double distance)
|
||||||
|
{
|
||||||
|
HnswSearchCandidate *sc = palloc(sizeof(HnswSearchCandidate));
|
||||||
|
|
||||||
|
HnswPtrStore(base, sc->element, element);
|
||||||
|
sc->distance = distance;
|
||||||
|
return sc;
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Create a candidate for the entry point
|
* Create a candidate for the entry point
|
||||||
*/
|
*/
|
||||||
HnswSearchCandidate *
|
HnswSearchCandidate *
|
||||||
HnswEntryCandidate(char *base, HnswElement entryPoint, Datum q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec)
|
HnswEntryCandidate(char *base, HnswElement entryPoint, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec)
|
||||||
{
|
{
|
||||||
HnswSearchCandidate *hc = palloc(sizeof(HnswSearchCandidate));
|
bool inMemory = index == NULL;
|
||||||
|
double distance;
|
||||||
|
|
||||||
HnswPtrStore(base, hc->element, entryPoint);
|
if (inMemory)
|
||||||
if (index == NULL)
|
distance = GetElementDistance(base, entryPoint, q, support);
|
||||||
hc->distance = GetElementDistance(base, entryPoint, q, procinfo, collation);
|
|
||||||
else
|
else
|
||||||
HnswLoadElement(entryPoint, &hc->distance, &q, index, procinfo, collation, loadVec, NULL);
|
HnswLoadElement(entryPoint, &distance, q, index, support, loadVec, NULL);
|
||||||
return hc;
|
|
||||||
}
|
|
||||||
|
|
||||||
#define HnswGetSearchCandidate(membername, ptr) pairingheap_container(HnswSearchCandidate, membername, ptr)
|
return HnswInitSearchCandidate(base, entryPoint, distance);
|
||||||
#define HnswGetSearchCandidateConst(membername, ptr) pairingheap_const_container(HnswSearchCandidate, membername, ptr)
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Compare candidate distances
|
* Compare candidate distances
|
||||||
@@ -650,6 +637,21 @@ CompareNearestCandidates(const pairingheap_node *a, const pairingheap_node *b, v
|
|||||||
return 0;
|
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
|
* Compare candidate distances
|
||||||
*/
|
*/
|
||||||
@@ -669,9 +671,9 @@ CompareFurthestCandidates(const pairingheap_node *a, const pairingheap_node *b,
|
|||||||
* Init visited
|
* Init visited
|
||||||
*/
|
*/
|
||||||
static inline void
|
static inline void
|
||||||
InitVisited(char *base, visited_hash * v, Relation index, int ef, int m)
|
InitVisited(char *base, visited_hash * v, bool inMemory, int ef, int m)
|
||||||
{
|
{
|
||||||
if (index != NULL)
|
if (!inMemory)
|
||||||
v->tids = tidhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
v->tids = tidhash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||||
else if (base != NULL)
|
else if (base != NULL)
|
||||||
v->offsets = offsethash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
v->offsets = offsethash_create(CurrentMemoryContext, ef * m * 2, NULL);
|
||||||
@@ -683,9 +685,9 @@ InitVisited(char *base, visited_hash * v, Relation index, int ef, int m)
|
|||||||
* Add to visited
|
* Add to visited
|
||||||
*/
|
*/
|
||||||
static inline void
|
static inline void
|
||||||
AddToVisited(char *base, visited_hash * v, HnswElementPtr elementPtr, Relation index, bool *found)
|
AddToVisited(char *base, visited_hash * v, HnswElementPtr elementPtr, bool inMemory, bool *found)
|
||||||
{
|
{
|
||||||
if (index != NULL)
|
if (!inMemory)
|
||||||
{
|
{
|
||||||
HnswElement element = HnswPtrAccess(base, elementPtr);
|
HnswElement element = HnswPtrAccess(base, elementPtr);
|
||||||
ItemPointerData indextid;
|
ItemPointerData indextid;
|
||||||
@@ -746,39 +748,61 @@ HnswLoadUnvisitedFromMemory(char *base, HnswElement element, HnswUnvisited * unv
|
|||||||
HnswCandidate *hc = &localNeighborhood->items[i];
|
HnswCandidate *hc = &localNeighborhood->items[i];
|
||||||
bool found;
|
bool found;
|
||||||
|
|
||||||
AddToVisited(base, v, hc->element, NULL, &found);
|
AddToVisited(base, v, hc->element, true, &found);
|
||||||
|
|
||||||
if (!found)
|
if (!found)
|
||||||
unvisited[(*unvisitedLength)++].element = HnswPtrAccess(base, hc->element);
|
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 the neighbor tuple has not been deleted or replaced between
|
||||||
|
* index scan iterations
|
||||||
|
*/
|
||||||
|
if (ntup->version != element->version || 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
|
* Load unvisited neighbors from disk
|
||||||
*/
|
*/
|
||||||
static void
|
static void
|
||||||
HnswLoadUnvisitedFromDisk(HnswElement element, HnswUnvisited * unvisited, int *unvisitedLength, visited_hash * v, Relation index, int m, int lm, int lc)
|
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];
|
ItemPointerData indextids[HNSW_MAX_M * 2];
|
||||||
|
|
||||||
buf = ReadBuffer(index, element->neighborPage);
|
|
||||||
LockBuffer(buf, BUFFER_LOCK_SHARE);
|
|
||||||
page = BufferGetPage(buf);
|
|
||||||
|
|
||||||
ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno));
|
|
||||||
start = (element->level - lc) * m;
|
|
||||||
|
|
||||||
/* Copy to minimize lock time */
|
|
||||||
memcpy(&indextids, ntup->indextids + start, lm * sizeof(ItemPointerData));
|
|
||||||
|
|
||||||
UnlockReleaseBuffer(buf);
|
|
||||||
|
|
||||||
*unvisitedLength = 0;
|
*unvisitedLength = 0;
|
||||||
|
|
||||||
|
if (!HnswLoadNeighborTids(element, indextids, index, m, lm, lc))
|
||||||
|
return;
|
||||||
|
|
||||||
for (int i = 0; i < lm; i++)
|
for (int i = 0; i < lm; i++)
|
||||||
{
|
{
|
||||||
ItemPointer indextid = &indextids[i];
|
ItemPointer indextid = &indextids[i];
|
||||||
@@ -798,24 +822,37 @@ HnswLoadUnvisitedFromDisk(HnswElement element, HnswUnvisited * unvisited, int *u
|
|||||||
* Algorithm 2 from paper
|
* Algorithm 2 from paper
|
||||||
*/
|
*/
|
||||||
List *
|
List *
|
||||||
HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement)
|
HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples)
|
||||||
{
|
{
|
||||||
List *w = NIL;
|
List *w = NIL;
|
||||||
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
|
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||||
pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL);
|
pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL);
|
||||||
int wlen = 0;
|
int wlen = 0;
|
||||||
visited_hash v;
|
visited_hash vh;
|
||||||
ListCell *lc2;
|
ListCell *lc2;
|
||||||
HnswNeighborArray *localNeighborhood = NULL;
|
HnswNeighborArray *localNeighborhood = NULL;
|
||||||
Size neighborhoodSize = 0;
|
Size neighborhoodSize = 0;
|
||||||
int lm = HnswGetLayerM(m, lc);
|
int lm = HnswGetLayerM(m, lc);
|
||||||
HnswUnvisited *unvisited = palloc(lm * sizeof(HnswUnvisited));
|
HnswUnvisited *unvisited = palloc(lm * sizeof(HnswUnvisited));
|
||||||
int unvisitedLength;
|
int unvisitedLength;
|
||||||
|
bool inMemory = index == NULL;
|
||||||
|
|
||||||
InitVisited(base, &v, index, ef, m);
|
if (v == NULL)
|
||||||
|
{
|
||||||
|
v = &vh;
|
||||||
|
initVisited = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (initVisited)
|
||||||
|
{
|
||||||
|
InitVisited(base, v, inMemory, ef, m);
|
||||||
|
|
||||||
|
if (discarded != NULL)
|
||||||
|
*discarded = pairingheap_allocate(CompareNearestDiscardedCandidates, NULL);
|
||||||
|
}
|
||||||
|
|
||||||
/* Create local memory for neighborhood if needed */
|
/* Create local memory for neighborhood if needed */
|
||||||
if (index == NULL)
|
if (inMemory)
|
||||||
{
|
{
|
||||||
neighborhoodSize = HNSW_NEIGHBOR_ARRAY_SIZE(lm);
|
neighborhoodSize = HNSW_NEIGHBOR_ARRAY_SIZE(lm);
|
||||||
localNeighborhood = palloc(neighborhoodSize);
|
localNeighborhood = palloc(neighborhoodSize);
|
||||||
@@ -824,20 +861,26 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
|||||||
/* Add entry points to v, C, and W */
|
/* Add entry points to v, C, and W */
|
||||||
foreach(lc2, ep)
|
foreach(lc2, ep)
|
||||||
{
|
{
|
||||||
HnswSearchCandidate *hc = (HnswSearchCandidate *) lfirst(lc2);
|
HnswSearchCandidate *sc = (HnswSearchCandidate *) lfirst(lc2);
|
||||||
bool found;
|
bool found;
|
||||||
|
|
||||||
AddToVisited(base, &v, hc->element, index, &found);
|
if (initVisited)
|
||||||
|
{
|
||||||
|
AddToVisited(base, v, sc->element, inMemory, &found);
|
||||||
|
|
||||||
pairingheap_add(C, &hc->c_node);
|
if (tuples != NULL)
|
||||||
pairingheap_add(W, &hc->w_node);
|
(*tuples)++;
|
||||||
|
}
|
||||||
|
|
||||||
|
pairingheap_add(C, &sc->c_node);
|
||||||
|
pairingheap_add(W, &sc->w_node);
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Do not count elements being deleted towards ef when vacuuming. It
|
* Do not count elements being deleted towards ef when vacuuming. It
|
||||||
* would be ideal to do this for inserts as well, but this could
|
* would be ideal to do this for inserts as well, but this could
|
||||||
* affect insert performance.
|
* affect insert performance.
|
||||||
*/
|
*/
|
||||||
if (CountElement(skipElement, HnswPtrAccess(base, hc->element)))
|
if (CountElement(skipElement, HnswPtrAccess(base, sc->element)))
|
||||||
wlen++;
|
wlen++;
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -852,24 +895,27 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
|||||||
|
|
||||||
cElement = HnswPtrAccess(base, c->element);
|
cElement = HnswPtrAccess(base, c->element);
|
||||||
|
|
||||||
if (index == NULL)
|
if (inMemory)
|
||||||
HnswLoadUnvisitedFromMemory(base, cElement, unvisited, &unvisitedLength, &v, lc, localNeighborhood, neighborhoodSize);
|
HnswLoadUnvisitedFromMemory(base, cElement, unvisited, &unvisitedLength, v, lc, localNeighborhood, neighborhoodSize);
|
||||||
else
|
else
|
||||||
HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, &v, index, m, lm, lc);
|
HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, v, index, m, lm, lc);
|
||||||
|
|
||||||
|
if (tuples != NULL)
|
||||||
|
(*tuples) += unvisitedLength;
|
||||||
|
|
||||||
for (int i = 0; i < unvisitedLength; i++)
|
for (int i = 0; i < unvisitedLength; i++)
|
||||||
{
|
{
|
||||||
HnswElement eElement;
|
HnswElement eElement;
|
||||||
HnswSearchCandidate *e;
|
HnswSearchCandidate *e;
|
||||||
float eDistance;
|
double eDistance;
|
||||||
bool alwaysAdd = wlen < ef;
|
bool alwaysAdd = wlen < ef;
|
||||||
|
|
||||||
f = HnswGetSearchCandidate(w_node, pairingheap_first(W));
|
f = HnswGetSearchCandidate(w_node, pairingheap_first(W));
|
||||||
|
|
||||||
if (index == NULL)
|
if (inMemory)
|
||||||
{
|
{
|
||||||
eElement = unvisited[i].element;
|
eElement = unvisited[i].element;
|
||||||
eDistance = GetElementDistance(base, eElement, q, procinfo, collation);
|
eDistance = GetElementDistance(base, eElement, q, support);
|
||||||
}
|
}
|
||||||
else
|
else
|
||||||
{
|
{
|
||||||
@@ -879,25 +925,30 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
|||||||
|
|
||||||
/* Avoid any allocations if not adding */
|
/* Avoid any allocations if not adding */
|
||||||
eElement = NULL;
|
eElement = NULL;
|
||||||
HnswLoadElementImpl(blkno, offno, &eDistance, &q, index, procinfo, collation, inserting, alwaysAdd ? NULL : &f->distance, &eElement);
|
HnswLoadElementImpl(blkno, offno, &eDistance, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
|
||||||
|
|
||||||
if (eElement == NULL)
|
if (eElement == NULL)
|
||||||
continue;
|
continue;
|
||||||
}
|
}
|
||||||
|
|
||||||
if (!(eDistance < f->distance || alwaysAdd))
|
if (eElement == NULL || !(eDistance < f->distance || alwaysAdd))
|
||||||
continue;
|
{
|
||||||
|
if (discarded != NULL)
|
||||||
|
{
|
||||||
|
/* Create a new candidate */
|
||||||
|
e = HnswInitSearchCandidate(base, eElement, eDistance);
|
||||||
|
pairingheap_add(*discarded, &e->w_node);
|
||||||
|
}
|
||||||
|
|
||||||
Assert(!eElement->deleted);
|
continue;
|
||||||
|
}
|
||||||
|
|
||||||
/* Make robust to issues */
|
/* Make robust to issues */
|
||||||
if (eElement->level < lc)
|
if (eElement->level < lc)
|
||||||
continue;
|
continue;
|
||||||
|
|
||||||
/* Create a new candidate */
|
/* Create a new candidate */
|
||||||
e = palloc(sizeof(HnswSearchCandidate));
|
e = HnswInitSearchCandidate(base, eElement, eDistance);
|
||||||
HnswPtrStore(base, e->element, eElement);
|
|
||||||
e->distance = eDistance;
|
|
||||||
pairingheap_add(C, &e->c_node);
|
pairingheap_add(C, &e->c_node);
|
||||||
pairingheap_add(W, &e->w_node);
|
pairingheap_add(W, &e->w_node);
|
||||||
|
|
||||||
@@ -912,7 +963,12 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
|||||||
|
|
||||||
/* No need to decrement wlen */
|
/* No need to decrement wlen */
|
||||||
if (wlen > ef)
|
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);
|
||||||
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
@@ -920,9 +976,9 @@ HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, F
|
|||||||
/* Add each element of W to w */
|
/* Add each element of W to w */
|
||||||
while (!pairingheap_is_empty(W))
|
while (!pairingheap_is_empty(W))
|
||||||
{
|
{
|
||||||
HnswSearchCandidate *hc = HnswGetSearchCandidate(w_node, pairingheap_remove_first(W));
|
HnswSearchCandidate *sc = HnswGetSearchCandidate(w_node, pairingheap_remove_first(W));
|
||||||
|
|
||||||
w = lappend(w, hc);
|
w = lappend(w, sc);
|
||||||
}
|
}
|
||||||
|
|
||||||
return w;
|
return w;
|
||||||
@@ -976,32 +1032,22 @@ CompareCandidateDistancesOffset(const ListCell *a, const ListCell *b)
|
|||||||
return 0;
|
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
|
* Check if an element is closer to q than any element from R
|
||||||
*/
|
*/
|
||||||
static bool
|
static bool
|
||||||
CheckElementCloser(char *base, HnswCandidate * e, List *r, FmgrInfo *procinfo, Oid collation)
|
CheckElementCloser(char *base, HnswCandidate * e, List *r, HnswSupport * support)
|
||||||
{
|
{
|
||||||
HnswElement eElement = HnswPtrAccess(base, e->element);
|
HnswElement eElement = HnswPtrAccess(base, e->element);
|
||||||
|
Datum eValue = HnswGetValue(base, eElement);
|
||||||
ListCell *lc2;
|
ListCell *lc2;
|
||||||
|
|
||||||
foreach(lc2, r)
|
foreach(lc2, r)
|
||||||
{
|
{
|
||||||
HnswCandidate *ri = lfirst(lc2);
|
HnswCandidate *ri = lfirst(lc2);
|
||||||
HnswElement riElement = HnswPtrAccess(base, ri->element);
|
HnswElement riElement = HnswPtrAccess(base, ri->element);
|
||||||
float distance = HnswGetDistance(base, eElement, riElement, procinfo, collation);
|
Datum riValue = HnswGetValue(base, riElement);
|
||||||
|
float distance = HnswGetDistance(eValue, riValue, support);
|
||||||
|
|
||||||
if (distance <= e->distance)
|
if (distance <= e->distance)
|
||||||
return false;
|
return false;
|
||||||
@@ -1014,15 +1060,14 @@ CheckElementCloser(char *base, HnswCandidate * e, List *r, FmgrInfo *procinfo, O
|
|||||||
* Algorithm 4 from paper
|
* Algorithm 4 from paper
|
||||||
*/
|
*/
|
||||||
static List *
|
static List *
|
||||||
SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid collation, HnswElement e2, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
SelectNeighbors(char *base, List *c, int lm, HnswSupport * support, bool *closerSet, HnswCandidate * newCandidate, HnswCandidate * *pruned, bool sortCandidates)
|
||||||
{
|
{
|
||||||
List *r = NIL;
|
List *r = NIL;
|
||||||
List *w = list_copy(c);
|
List *w = list_copy(c);
|
||||||
HnswCandidate **wd;
|
HnswCandidate **wd;
|
||||||
int wdlen = 0;
|
int wdlen = 0;
|
||||||
int wdoff = 0;
|
int wdoff = 0;
|
||||||
HnswNeighborArray *neighbors = HnswGetNeighbors(base, e2, lc);
|
bool mustCalculate = !(*closerSet);
|
||||||
bool mustCalculate = !neighbors->closerSet;
|
|
||||||
List *added = NIL;
|
List *added = NIL;
|
||||||
bool removedAny = false;
|
bool removedAny = false;
|
||||||
|
|
||||||
@@ -1049,7 +1094,7 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
|||||||
|
|
||||||
/* Use previous state of r and wd to skip work when possible */
|
/* Use previous state of r and wd to skip work when possible */
|
||||||
if (mustCalculate)
|
if (mustCalculate)
|
||||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
e->closer = CheckElementCloser(base, e, r, support);
|
||||||
else if (list_length(added) > 0)
|
else if (list_length(added) > 0)
|
||||||
{
|
{
|
||||||
/* Keep Valgrind happy for in-memory, parallel builds */
|
/* Keep Valgrind happy for in-memory, parallel builds */
|
||||||
@@ -1062,7 +1107,7 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
|||||||
*/
|
*/
|
||||||
if (e->closer)
|
if (e->closer)
|
||||||
{
|
{
|
||||||
e->closer = CheckElementCloser(base, e, added, procinfo, collation);
|
e->closer = CheckElementCloser(base, e, added, support);
|
||||||
|
|
||||||
if (!e->closer)
|
if (!e->closer)
|
||||||
removedAny = true;
|
removedAny = true;
|
||||||
@@ -1075,7 +1120,7 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
|||||||
*/
|
*/
|
||||||
if (removedAny)
|
if (removedAny)
|
||||||
{
|
{
|
||||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
e->closer = CheckElementCloser(base, e, r, support);
|
||||||
if (e->closer)
|
if (e->closer)
|
||||||
added = lappend(added, e);
|
added = lappend(added, e);
|
||||||
}
|
}
|
||||||
@@ -1083,7 +1128,7 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
|||||||
}
|
}
|
||||||
else if (e == newCandidate)
|
else if (e == newCandidate)
|
||||||
{
|
{
|
||||||
e->closer = CheckElementCloser(base, e, r, procinfo, collation);
|
e->closer = CheckElementCloser(base, e, r, support);
|
||||||
if (e->closer)
|
if (e->closer)
|
||||||
added = lappend(added, e);
|
added = lappend(added, e);
|
||||||
}
|
}
|
||||||
@@ -1099,7 +1144,7 @@ SelectNeighbors(char *base, List *c, int lm, int lc, FmgrInfo *procinfo, Oid col
|
|||||||
}
|
}
|
||||||
|
|
||||||
/* Cached value can only be used in future if sorted deterministically */
|
/* Cached value can only be used in future if sorted deterministically */
|
||||||
neighbors->closerSet = sortCandidates;
|
*closerSet = sortCandidates;
|
||||||
|
|
||||||
/* Keep pruned connections */
|
/* Keep pruned connections */
|
||||||
while (wdoff < wdlen && list_length(r) < lm)
|
while (wdoff < wdlen && list_length(r) < lm)
|
||||||
@@ -1134,18 +1179,16 @@ AddConnections(char *base, HnswElement element, List *neighbors, int lc)
|
|||||||
* Update connections
|
* Update connections
|
||||||
*/
|
*/
|
||||||
void
|
void
|
||||||
HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation)
|
HnswUpdateConnection(char *base, HnswNeighborArray * neighbors, HnswElement newElement, float distance, int lm, int *updateIdx, Relation index, HnswSupport * support)
|
||||||
{
|
{
|
||||||
HnswElement hce = HnswPtrAccess(base, hc->element);
|
HnswCandidate newHc;
|
||||||
HnswNeighborArray *currentNeighbors = HnswGetNeighbors(base, hce, lc);
|
|
||||||
HnswCandidate hc2;
|
|
||||||
|
|
||||||
HnswPtrStore(base, hc2.element, element);
|
HnswPtrStore(base, newHc.element, newElement);
|
||||||
hc2.distance = hc->distance;
|
newHc.distance = distance;
|
||||||
|
|
||||||
if (currentNeighbors->length < lm)
|
if (neighbors->length < lm)
|
||||||
{
|
{
|
||||||
currentNeighbors->items[currentNeighbors->length++] = hc2;
|
neighbors->items[neighbors->length++] = newHc;
|
||||||
|
|
||||||
/* Track update */
|
/* Track update */
|
||||||
if (updateIdx != NULL)
|
if (updateIdx != NULL)
|
||||||
@@ -1154,54 +1197,26 @@ HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int lm
|
|||||||
else
|
else
|
||||||
{
|
{
|
||||||
/* Shrink connections */
|
/* Shrink connections */
|
||||||
|
List *c = NIL;
|
||||||
HnswCandidate *pruned = NULL;
|
HnswCandidate *pruned = NULL;
|
||||||
|
|
||||||
/* Load elements on insert */
|
/* Add candidates */
|
||||||
if (index != NULL)
|
for (int i = 0; i < neighbors->length; i++)
|
||||||
{
|
c = lappend(c, &neighbors->items[i]);
|
||||||
Datum q = HnswGetValue(base, hce);
|
c = lappend(c, &newHc);
|
||||||
|
|
||||||
for (int i = 0; i < currentNeighbors->length; i++)
|
SelectNeighbors(base, c, lm, support, &neighbors->closerSet, &newHc, &pruned, true);
|
||||||
{
|
|
||||||
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)
|
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 */
|
/* Find and replace the pruned element */
|
||||||
for (int i = 0; i < currentNeighbors->length; i++)
|
for (int i = 0; i < neighbors->length; i++)
|
||||||
{
|
{
|
||||||
if (HnswPtrEqual(base, currentNeighbors->items[i].element, pruned->element))
|
if (HnswPtrEqual(base, neighbors->items[i].element, pruned->element))
|
||||||
{
|
{
|
||||||
currentNeighbors->items[i] = hc2;
|
neighbors->items[i] = newHc;
|
||||||
|
|
||||||
/* Track update */
|
/* Track update */
|
||||||
if (updateIdx != NULL)
|
if (updateIdx != NULL)
|
||||||
@@ -1261,17 +1276,20 @@ PrecomputeHash(char *base, HnswElement element)
|
|||||||
* Algorithm 1 from paper
|
* Algorithm 1 from paper
|
||||||
*/
|
*/
|
||||||
void
|
void
|
||||||
HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing)
|
HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing)
|
||||||
{
|
{
|
||||||
List *ep;
|
List *ep;
|
||||||
List *w;
|
List *w;
|
||||||
int level = element->level;
|
int level = element->level;
|
||||||
int entryLevel;
|
int entryLevel;
|
||||||
Datum q = HnswGetValue(base, element);
|
HnswQuery q;
|
||||||
HnswElement skipElement = existing ? element : NULL;
|
HnswElement skipElement = existing ? element : NULL;
|
||||||
|
bool inMemory = index == NULL;
|
||||||
|
|
||||||
|
q.value = HnswGetValue(base, element);
|
||||||
|
|
||||||
/* Precompute hash */
|
/* Precompute hash */
|
||||||
if (index == NULL)
|
if (inMemory)
|
||||||
PrecomputeHash(base, element);
|
PrecomputeHash(base, element);
|
||||||
|
|
||||||
/* No neighbors if no entry point */
|
/* No neighbors if no entry point */
|
||||||
@@ -1279,13 +1297,13 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
|||||||
return;
|
return;
|
||||||
|
|
||||||
/* Get entry point and level */
|
/* Get entry point and level */
|
||||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, procinfo, collation, true));
|
ep = list_make1(HnswEntryCandidate(base, entryPoint, &q, index, support, true));
|
||||||
entryLevel = entryPoint->level;
|
entryLevel = entryPoint->level;
|
||||||
|
|
||||||
/* 1st phase: greedy search to insert level */
|
/* 1st phase: greedy search to insert level */
|
||||||
for (int lc = entryLevel; lc >= level + 1; lc--)
|
for (int lc = entryLevel; lc >= level + 1; lc--)
|
||||||
{
|
{
|
||||||
w = HnswSearchLayer(base, q, ep, 1, lc, index, procinfo, collation, m, true, skipElement);
|
w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
|
||||||
ep = w;
|
ep = w;
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -1304,7 +1322,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
|||||||
List *lw = NIL;
|
List *lw = NIL;
|
||||||
ListCell *lc2;
|
ListCell *lc2;
|
||||||
|
|
||||||
w = HnswSearchLayer(base, q, ep, efConstruction, lc, index, procinfo, collation, m, true, skipElement);
|
w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
|
||||||
|
|
||||||
/* Convert search candidates to candidates */
|
/* Convert search candidates to candidates */
|
||||||
foreach(lc2, w)
|
foreach(lc2, w)
|
||||||
@@ -1320,7 +1338,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
|||||||
|
|
||||||
/* Elements being deleted or skipped can help with search */
|
/* Elements being deleted or skipped can help with search */
|
||||||
/* but should be removed before selecting neighbors */
|
/* but should be removed before selecting neighbors */
|
||||||
if (index != NULL)
|
if (!inMemory)
|
||||||
lw = RemoveElements(base, lw, skipElement);
|
lw = RemoveElements(base, lw, skipElement);
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -1328,7 +1346,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
|||||||
* sortCandidates to true for in-memory builds to enable closer
|
* sortCandidates to true for in-memory builds to enable closer
|
||||||
* caching, but there does not seem to be a difference in performance.
|
* caching, but there does not seem to be a difference in performance.
|
||||||
*/
|
*/
|
||||||
neighbors = SelectNeighbors(base, lw, lm, lc, procinfo, collation, element, NULL, NULL, false);
|
neighbors = SelectNeighbors(base, lw, lm, support, &HnswGetNeighbors(base, element, lc)->closerSet, NULL, NULL, false);
|
||||||
|
|
||||||
AddConnections(base, element, neighbors, lc);
|
AddConnections(base, element, neighbors, lc);
|
||||||
|
|
||||||
|
|||||||
@@ -184,13 +184,12 @@ static void
|
|||||||
RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswElement entryPoint)
|
RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswElement entryPoint)
|
||||||
{
|
{
|
||||||
Relation index = vacuumstate->index;
|
Relation index = vacuumstate->index;
|
||||||
|
HnswSupport *support = &vacuumstate->support;
|
||||||
Buffer buf;
|
Buffer buf;
|
||||||
Page page;
|
Page page;
|
||||||
GenericXLogState *state;
|
GenericXLogState *state;
|
||||||
int m = vacuumstate->m;
|
int m = vacuumstate->m;
|
||||||
int efConstruction = vacuumstate->efConstruction;
|
int efConstruction = vacuumstate->efConstruction;
|
||||||
FmgrInfo *procinfo = vacuumstate->procinfo;
|
|
||||||
Oid collation = vacuumstate->collation;
|
|
||||||
BufferAccessStrategy bas = vacuumstate->bas;
|
BufferAccessStrategy bas = vacuumstate->bas;
|
||||||
HnswNeighborTuple ntup = vacuumstate->ntup;
|
HnswNeighborTuple ntup = vacuumstate->ntup;
|
||||||
Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, m);
|
Size ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, m);
|
||||||
@@ -205,7 +204,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
|||||||
element->heaptidsLength = 0;
|
element->heaptidsLength = 0;
|
||||||
|
|
||||||
/* Find neighbors for element, skipping itself */
|
/* Find neighbors for element, skipping itself */
|
||||||
HnswFindElementNeighbors(base, element, entryPoint, index, procinfo, collation, m, efConstruction, true);
|
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true);
|
||||||
|
|
||||||
/* Zero memory for each element */
|
/* Zero memory for each element */
|
||||||
MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);
|
MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);
|
||||||
@@ -229,7 +228,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
|
|||||||
UnlockReleaseBuffer(buf);
|
UnlockReleaseBuffer(buf);
|
||||||
|
|
||||||
/* Update neighbors */
|
/* Update neighbors */
|
||||||
HnswUpdateNeighborsOnDisk(index, procinfo, collation, element, m, true, false);
|
HnswUpdateNeighborsOnDisk(index, support, element, m, true, false);
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -239,6 +238,7 @@ static void
|
|||||||
RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
||||||
{
|
{
|
||||||
Relation index = vacuumstate->index;
|
Relation index = vacuumstate->index;
|
||||||
|
HnswSupport *support = &vacuumstate->support;
|
||||||
HnswElement highestPoint = &vacuumstate->highestPoint;
|
HnswElement highestPoint = &vacuumstate->highestPoint;
|
||||||
HnswElement entryPoint;
|
HnswElement entryPoint;
|
||||||
MemoryContext oldCtx = MemoryContextSwitchTo(vacuumstate->tmpCtx);
|
MemoryContext oldCtx = MemoryContextSwitchTo(vacuumstate->tmpCtx);
|
||||||
@@ -256,7 +256,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
|||||||
LockPage(index, HNSW_UPDATE_LOCK, ShareLock);
|
LockPage(index, HNSW_UPDATE_LOCK, ShareLock);
|
||||||
|
|
||||||
/* Load element */
|
/* Load element */
|
||||||
HnswLoadElement(highestPoint, NULL, NULL, index, vacuumstate->procinfo, vacuumstate->collation, true, NULL);
|
HnswLoadElement(highestPoint, NULL, NULL, index, support, true, NULL);
|
||||||
|
|
||||||
/* Repair if needed */
|
/* Repair if needed */
|
||||||
if (NeedsUpdated(vacuumstate, highestPoint))
|
if (NeedsUpdated(vacuumstate, highestPoint))
|
||||||
@@ -294,7 +294,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
|
|||||||
* is outdated, this can remove connections at higher levels in
|
* is outdated, this can remove connections at higher levels in
|
||||||
* the graph until they are repaired, but this should be fine.
|
* the graph until they are repaired, but this should be fine.
|
||||||
*/
|
*/
|
||||||
HnswLoadElement(entryPoint, NULL, NULL, index, vacuumstate->procinfo, vacuumstate->collation, true, NULL);
|
HnswLoadElement(entryPoint, NULL, NULL, index, support, true, NULL);
|
||||||
|
|
||||||
if (NeedsUpdated(vacuumstate, entryPoint))
|
if (NeedsUpdated(vacuumstate, entryPoint))
|
||||||
{
|
{
|
||||||
@@ -527,6 +527,14 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
|||||||
for (int i = 0; i < ntup->count; i++)
|
for (int i = 0; i < ntup->count; i++)
|
||||||
ItemPointerSetInvalid(&ntup->indextids[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
|
* We modified the tuples in place, no need to call
|
||||||
* PageIndexTupleOverwrite
|
* PageIndexTupleOverwrite
|
||||||
@@ -573,13 +581,13 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
|
|||||||
vacuumstate->callback_state = callback_state;
|
vacuumstate->callback_state = callback_state;
|
||||||
vacuumstate->efConstruction = HnswGetEfConstruction(index);
|
vacuumstate->efConstruction = HnswGetEfConstruction(index);
|
||||||
vacuumstate->bas = GetAccessStrategy(BAS_BULKREAD);
|
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->ntup = palloc0(HNSW_TUPLE_ALLOC_SIZE);
|
||||||
vacuumstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
vacuumstate->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||||
"Hnsw vacuum temporary context",
|
"Hnsw vacuum temporary context",
|
||||||
ALLOCSET_DEFAULT_SIZES);
|
ALLOCSET_DEFAULT_SIZES);
|
||||||
|
|
||||||
|
HnswInitSupport(&vacuumstate->support, index);
|
||||||
|
|
||||||
/* Get m from metapage */
|
/* Get m from metapage */
|
||||||
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
|
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
|
||||||
|
|
||||||
|
|||||||
@@ -228,11 +228,11 @@ BuildCallback(Relation index, ItemPointer tid, Datum *values,
|
|||||||
static inline void
|
static inline void
|
||||||
GetNextTuple(Tuplesortstate *sortstate, TupleDesc tupdesc, TupleTableSlot *slot, 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))
|
if (tuplesort_gettupleslot(sortstate, true, false, slot, NULL))
|
||||||
{
|
{
|
||||||
|
Datum value;
|
||||||
|
bool isnull;
|
||||||
|
|
||||||
*list = DatumGetInt32(slot_getattr(slot, 1, &isnull));
|
*list = DatumGetInt32(slot_getattr(slot, 1, &isnull));
|
||||||
value = slot_getattr(slot, 3, &isnull);
|
value = slot_getattr(slot, 3, &isnull);
|
||||||
|
|
||||||
@@ -254,8 +254,8 @@ InsertTuples(Relation index, IvfflatBuildState * buildstate, ForkNumber forkNum)
|
|||||||
IndexTuple itup = NULL; /* silence compiler warning */
|
IndexTuple itup = NULL; /* silence compiler warning */
|
||||||
int64 inserted = 0;
|
int64 inserted = 0;
|
||||||
|
|
||||||
TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->tupdesc, &TTSOpsMinimalTuple);
|
TupleTableSlot *slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsMinimalTuple);
|
||||||
TupleDesc tupdesc = RelationGetDescr(index);
|
TupleDesc tupdesc = buildstate->tupdesc;
|
||||||
|
|
||||||
pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_LOAD);
|
pgstat_progress_update_param(PROGRESS_CREATEIDX_SUBPHASE, PROGRESS_IVFFLAT_PHASE_LOAD);
|
||||||
|
|
||||||
@@ -319,6 +319,7 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
|||||||
buildstate->index = index;
|
buildstate->index = index;
|
||||||
buildstate->indexInfo = indexInfo;
|
buildstate->indexInfo = indexInfo;
|
||||||
buildstate->typeInfo = IvfflatGetTypeInfo(index);
|
buildstate->typeInfo = IvfflatGetTypeInfo(index);
|
||||||
|
buildstate->tupdesc = RelationGetDescr(index);
|
||||||
|
|
||||||
buildstate->lists = IvfflatGetLists(index);
|
buildstate->lists = IvfflatGetLists(index);
|
||||||
buildstate->dimensions = TupleDescAttr(index->rd_att, 0)->atttypmod;
|
buildstate->dimensions = TupleDescAttr(index->rd_att, 0)->atttypmod;
|
||||||
@@ -356,12 +357,12 @@ InitBuildState(IvfflatBuildState * buildstate, Relation heap, Relation index, In
|
|||||||
errmsg("dimensions must be greater than one for this opclass")));
|
errmsg("dimensions must be greater than one for this opclass")));
|
||||||
|
|
||||||
/* Create tuple description for sorting */
|
/* Create tuple description for sorting */
|
||||||
buildstate->tupdesc = CreateTemplateTupleDesc(3);
|
buildstate->sortdesc = CreateTemplateTupleDesc(3);
|
||||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
|
TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 1, "list", INT4OID, -1, 0);
|
||||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
|
TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 2, "tid", TIDOID, -1, 0);
|
||||||
TupleDescInitEntry(buildstate->tupdesc, (AttrNumber) 3, "vector", RelationGetDescr(index)->attrs[0].atttypid, -1, 0);
|
TupleDescInitEntry(buildstate->sortdesc, (AttrNumber) 3, "vector", buildstate->tupdesc->attrs[0].atttypid, -1, 0);
|
||||||
|
|
||||||
buildstate->slot = MakeSingleTupleTableSlot(buildstate->tupdesc, &TTSOpsVirtual);
|
buildstate->slot = MakeSingleTupleTableSlot(buildstate->sortdesc, &TTSOpsVirtual);
|
||||||
|
|
||||||
buildstate->centers = VectorArrayInit(buildstate->lists, buildstate->dimensions, buildstate->typeInfo->itemSize(buildstate->dimensions));
|
buildstate->centers = VectorArrayInit(buildstate->lists, buildstate->dimensions, buildstate->typeInfo->itemSize(buildstate->dimensions));
|
||||||
buildstate->listInfo = palloc(sizeof(ListInfo) * buildstate->lists);
|
buildstate->listInfo = palloc(sizeof(ListInfo) * buildstate->lists);
|
||||||
@@ -633,7 +634,7 @@ IvfflatParallelScanAndSort(IvfflatSpool * ivfspool, IvfflatShared * ivfshared, S
|
|||||||
InitBuildState(&buildstate, ivfspool->heap, ivfspool->index, indexInfo);
|
InitBuildState(&buildstate, ivfspool->heap, ivfspool->index, indexInfo);
|
||||||
memcpy(buildstate.centers->items, ivfcenters, buildstate.centers->itemsize * buildstate.centers->maxlen);
|
memcpy(buildstate.centers->items, ivfcenters, buildstate.centers->itemsize * buildstate.centers->maxlen);
|
||||||
buildstate.centers->length = buildstate.centers->maxlen;
|
buildstate.centers->length = buildstate.centers->maxlen;
|
||||||
ivfspool->sortstate = InitBuildSortState(buildstate.tupdesc, sortmem, coordinate);
|
ivfspool->sortstate = InitBuildSortState(buildstate.sortdesc, sortmem, coordinate);
|
||||||
buildstate.sortstate = ivfspool->sortstate;
|
buildstate.sortstate = ivfspool->sortstate;
|
||||||
scan = table_beginscan_parallel(ivfspool->heap,
|
scan = table_beginscan_parallel(ivfspool->heap,
|
||||||
ParallelTableScanFromIvfflatShared(ivfshared));
|
ParallelTableScanFromIvfflatShared(ivfshared));
|
||||||
@@ -950,7 +951,7 @@ AssignTuples(IvfflatBuildState * buildstate)
|
|||||||
}
|
}
|
||||||
|
|
||||||
/* Begin serial/leader tuplesort */
|
/* Begin serial/leader tuplesort */
|
||||||
buildstate->sortstate = InitBuildSortState(buildstate->tupdesc, maintenance_work_mem, coordinate);
|
buildstate->sortstate = InitBuildSortState(buildstate->sortdesc, maintenance_work_mem, coordinate);
|
||||||
|
|
||||||
/* Add tuples to sort */
|
/* Add tuples to sort */
|
||||||
if (buildstate->heap != NULL)
|
if (buildstate->heap != NULL)
|
||||||
|
|||||||
@@ -17,8 +17,16 @@
|
|||||||
#endif
|
#endif
|
||||||
|
|
||||||
int ivfflat_probes;
|
int ivfflat_probes;
|
||||||
|
int ivfflat_iterative_search;
|
||||||
|
int ivfflat_max_probes;
|
||||||
static relopt_kind ivfflat_relopt_kind;
|
static relopt_kind ivfflat_relopt_kind;
|
||||||
|
|
||||||
|
static const struct config_enum_entry ivfflat_iterative_search_options[] = {
|
||||||
|
{"off", IVFFLAT_ITERATIVE_SEARCH_OFF, false},
|
||||||
|
{"relaxed_order", IVFFLAT_ITERATIVE_SEARCH_RELAXED, false},
|
||||||
|
{NULL, 0, false}
|
||||||
|
};
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Initialize index options and variables
|
* Initialize index options and variables
|
||||||
*/
|
*/
|
||||||
@@ -33,6 +41,15 @@ IvfflatInit(void)
|
|||||||
"Valid range is 1..lists.", &ivfflat_probes,
|
"Valid range is 1..lists.", &ivfflat_probes,
|
||||||
IVFFLAT_DEFAULT_PROBES, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
|
IVFFLAT_DEFAULT_PROBES, IVFFLAT_MIN_LISTS, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||||
|
|
||||||
|
DefineCustomEnumVariable("ivfflat.iterative_search", "Sets the iterative search mode",
|
||||||
|
NULL, &ivfflat_iterative_search,
|
||||||
|
IVFFLAT_ITERATIVE_SEARCH_OFF, ivfflat_iterative_search_options, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||||
|
|
||||||
|
/* If this is less than probes, probes is used */
|
||||||
|
DefineCustomIntVariable("ivfflat.max_probes", "Sets the max number of probes for iterative search",
|
||||||
|
"-1 means no limit", &ivfflat_max_probes,
|
||||||
|
-1, -1, IVFFLAT_MAX_LISTS, PGC_USERSET, 0, NULL, NULL, NULL);
|
||||||
|
|
||||||
MarkGUCPrefixReserved("ivfflat");
|
MarkGUCPrefixReserved("ivfflat");
|
||||||
}
|
}
|
||||||
|
|
||||||
@@ -69,6 +86,8 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
|||||||
GenericCosts costs;
|
GenericCosts costs;
|
||||||
int lists;
|
int lists;
|
||||||
double ratio;
|
double ratio;
|
||||||
|
double sequentialRatio = 0.5;
|
||||||
|
double startupPages;
|
||||||
double spc_seq_page_cost;
|
double spc_seq_page_cost;
|
||||||
Relation index;
|
Relation index;
|
||||||
|
|
||||||
@@ -85,6 +104,8 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
|||||||
|
|
||||||
MemSet(&costs, 0, sizeof(costs));
|
MemSet(&costs, 0, sizeof(costs));
|
||||||
|
|
||||||
|
genericcostestimate(root, path, loop_count, &costs);
|
||||||
|
|
||||||
index = index_open(path->indexinfo->indexoid, NoLock);
|
index = index_open(path->indexinfo->indexoid, NoLock);
|
||||||
IvfflatGetMetaPageInfo(index, &lists, NULL);
|
IvfflatGetMetaPageInfo(index, &lists, NULL);
|
||||||
index_close(index, NoLock);
|
index_close(index, NoLock);
|
||||||
@@ -94,41 +115,26 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
|
|||||||
if (ratio > 1.0)
|
if (ratio > 1.0)
|
||||||
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);
|
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 */
|
/* Adjust cost if needed since TOAST not included in seq scan cost */
|
||||||
if (costs.numIndexPages > path->indexinfo->rel->pages && ratio < 0.5)
|
startupPages = costs.numIndexPages * ratio;
|
||||||
|
if (startupPages > path->indexinfo->rel->pages && ratio < 0.5)
|
||||||
{
|
{
|
||||||
/* Change all page cost from random to sequential */
|
/* Change rest of page cost from random to sequential */
|
||||||
costs.indexTotalCost -= costs.numIndexPages * (costs.spc_random_page_cost - spc_seq_page_cost);
|
costs.indexStartupCost -= (1 - sequentialRatio) * startupPages * (costs.spc_random_page_cost - spc_seq_page_cost);
|
||||||
|
|
||||||
/* Remove cost of extra pages */
|
/* Remove cost of extra pages */
|
||||||
costs.indexTotalCost -= (costs.numIndexPages - path->indexinfo->rel->pages) * spc_seq_page_cost;
|
costs.indexStartupCost -= (startupPages - 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;
|
*indexTotalCost = costs.indexTotalCost;
|
||||||
*indexSelectivity = costs.indexSelectivity;
|
*indexSelectivity = costs.indexSelectivity;
|
||||||
*indexCorrelation = costs.indexCorrelation;
|
*indexCorrelation = costs.indexCorrelation;
|
||||||
|
|||||||
@@ -80,6 +80,14 @@
|
|||||||
|
|
||||||
/* Variables */
|
/* Variables */
|
||||||
extern int ivfflat_probes;
|
extern int ivfflat_probes;
|
||||||
|
extern int ivfflat_iterative_search;
|
||||||
|
extern int ivfflat_max_probes;
|
||||||
|
|
||||||
|
typedef enum IvfflatIterativeSearchMode
|
||||||
|
{
|
||||||
|
IVFFLAT_ITERATIVE_SEARCH_OFF,
|
||||||
|
IVFFLAT_ITERATIVE_SEARCH_RELAXED
|
||||||
|
} IvfflatIterativeSearchMode;
|
||||||
|
|
||||||
typedef struct VectorArrayData
|
typedef struct VectorArrayData
|
||||||
{
|
{
|
||||||
@@ -165,6 +173,7 @@ typedef struct IvfflatBuildState
|
|||||||
Relation index;
|
Relation index;
|
||||||
IndexInfo *indexInfo;
|
IndexInfo *indexInfo;
|
||||||
const IvfflatTypeInfo *typeInfo;
|
const IvfflatTypeInfo *typeInfo;
|
||||||
|
TupleDesc tupdesc;
|
||||||
|
|
||||||
/* Settings */
|
/* Settings */
|
||||||
int dimensions;
|
int dimensions;
|
||||||
@@ -198,7 +207,7 @@ typedef struct IvfflatBuildState
|
|||||||
|
|
||||||
/* Sorting */
|
/* Sorting */
|
||||||
Tuplesortstate *sortstate;
|
Tuplesortstate *sortstate;
|
||||||
TupleDesc tupdesc;
|
TupleDesc sortdesc;
|
||||||
TupleTableSlot *slot;
|
TupleTableSlot *slot;
|
||||||
|
|
||||||
/* Memory */
|
/* Memory */
|
||||||
@@ -247,8 +256,11 @@ typedef struct IvfflatScanOpaqueData
|
|||||||
{
|
{
|
||||||
const IvfflatTypeInfo *typeInfo;
|
const IvfflatTypeInfo *typeInfo;
|
||||||
int probes;
|
int probes;
|
||||||
|
int maxProbes;
|
||||||
int dimensions;
|
int dimensions;
|
||||||
bool first;
|
bool first;
|
||||||
|
Datum value;
|
||||||
|
MemoryContext tmpCtx;
|
||||||
|
|
||||||
/* Sorting */
|
/* Sorting */
|
||||||
Tuplesortstate *sortstate;
|
Tuplesortstate *sortstate;
|
||||||
@@ -265,7 +277,9 @@ typedef struct IvfflatScanOpaqueData
|
|||||||
|
|
||||||
/* Lists */
|
/* Lists */
|
||||||
pairingheap *listQueue;
|
pairingheap *listQueue;
|
||||||
IvfflatScanList lists[FLEXIBLE_ARRAY_MEMBER]; /* must come last */
|
BlockNumber *listPages;
|
||||||
|
int listIndex;
|
||||||
|
IvfflatScanList *lists;
|
||||||
} IvfflatScanOpaqueData;
|
} IvfflatScanOpaqueData;
|
||||||
|
|
||||||
typedef IvfflatScanOpaqueData * IvfflatScanOpaque;
|
typedef IvfflatScanOpaqueData * IvfflatScanOpaque;
|
||||||
|
|||||||
@@ -98,7 +98,7 @@ InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, R
|
|||||||
IvfflatGetMetaPageInfo(index, NULL, NULL);
|
IvfflatGetMetaPageInfo(index, NULL, NULL);
|
||||||
|
|
||||||
/* Find the insert page - sets the page and list info */
|
/* Find the insert page - sets the page and list info */
|
||||||
FindInsertPage(index, values, &insertPage, &listInfo);
|
FindInsertPage(index, &value, &insertPage, &listInfo);
|
||||||
Assert(BlockNumberIsValid(insertPage));
|
Assert(BlockNumberIsValid(insertPage));
|
||||||
originalInsertPage = insertPage;
|
originalInsertPage = insertPage;
|
||||||
|
|
||||||
|
|||||||
104
src/ivfscan.c
104
src/ivfscan.c
@@ -10,10 +10,7 @@
|
|||||||
#include "miscadmin.h"
|
#include "miscadmin.h"
|
||||||
#include "pgstat.h"
|
#include "pgstat.h"
|
||||||
#include "storage/bufmgr.h"
|
#include "storage/bufmgr.h"
|
||||||
|
|
||||||
#ifdef IVFFLAT_MEMORY
|
|
||||||
#include "utils/memutils.h"
|
#include "utils/memutils.h"
|
||||||
#endif
|
|
||||||
|
|
||||||
#define GetScanList(ptr) pairingheap_container(IvfflatScanList, ph_node, ptr)
|
#define GetScanList(ptr) pairingheap_container(IvfflatScanList, ph_node, ptr)
|
||||||
#define GetScanListConst(ptr) pairingheap_const_container(IvfflatScanList, ph_node, ptr)
|
#define GetScanListConst(ptr) pairingheap_const_container(IvfflatScanList, ph_node, ptr)
|
||||||
@@ -65,7 +62,7 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
|||||||
/* Use procinfo from the index instead of scan key for performance */
|
/* Use procinfo from the index instead of scan key for performance */
|
||||||
distance = DatumGetFloat8(so->distfunc(so->procinfo, so->collation, PointerGetDatum(&list->center), value));
|
distance = DatumGetFloat8(so->distfunc(so->procinfo, so->collation, PointerGetDatum(&list->center), value));
|
||||||
|
|
||||||
if (listCount < so->probes)
|
if (listCount < so->maxProbes)
|
||||||
{
|
{
|
||||||
IvfflatScanList *scanlist;
|
IvfflatScanList *scanlist;
|
||||||
|
|
||||||
@@ -78,7 +75,7 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
|||||||
pairingheap_add(so->listQueue, &scanlist->ph_node);
|
pairingheap_add(so->listQueue, &scanlist->ph_node);
|
||||||
|
|
||||||
/* Calculate max distance */
|
/* Calculate max distance */
|
||||||
if (listCount == so->probes)
|
if (listCount == so->maxProbes)
|
||||||
maxDistance = GetScanList(pairingheap_first(so->listQueue))->distance;
|
maxDistance = GetScanList(pairingheap_first(so->listQueue))->distance;
|
||||||
}
|
}
|
||||||
else if (distance < maxDistance)
|
else if (distance < maxDistance)
|
||||||
@@ -102,6 +99,11 @@ GetScanLists(IndexScanDesc scan, Datum value)
|
|||||||
|
|
||||||
UnlockReleaseBuffer(cbuf);
|
UnlockReleaseBuffer(cbuf);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
for (int i = listCount - 1; i >= 0; i--)
|
||||||
|
so->listPages[i] = GetScanList(pairingheap_remove_first(so->listQueue))->startPage;
|
||||||
|
|
||||||
|
Assert(pairingheap_is_empty(so->listQueue));
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -114,11 +116,14 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
|||||||
TupleDesc tupdesc = RelationGetDescr(scan->indexRelation);
|
TupleDesc tupdesc = RelationGetDescr(scan->indexRelation);
|
||||||
double tuples = 0;
|
double tuples = 0;
|
||||||
TupleTableSlot *slot = so->vslot;
|
TupleTableSlot *slot = so->vslot;
|
||||||
|
int batchProbes = 0;
|
||||||
|
|
||||||
|
tuplesort_reset(so->sortstate);
|
||||||
|
|
||||||
/* Search closest probes lists */
|
/* Search closest probes lists */
|
||||||
while (!pairingheap_is_empty(so->listQueue))
|
while (so->listIndex < so->maxProbes && (++batchProbes) <= so->probes)
|
||||||
{
|
{
|
||||||
BlockNumber searchPage = GetScanList(pairingheap_remove_first(so->listQueue))->startPage;
|
BlockNumber searchPage = so->listPages[so->listIndex++];
|
||||||
|
|
||||||
/* Search all entry pages for list */
|
/* Search all entry pages for list */
|
||||||
while (BlockNumberIsValid(searchPage))
|
while (BlockNumberIsValid(searchPage))
|
||||||
@@ -166,13 +171,17 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
|||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
if (tuples < 100)
|
if (tuples < 100 && ivfflat_iterative_search == IVFFLAT_ITERATIVE_SEARCH_OFF)
|
||||||
ereport(DEBUG1,
|
ereport(DEBUG1,
|
||||||
(errmsg("index scan found few tuples"),
|
(errmsg("index scan found few tuples"),
|
||||||
errdetail("Index may have been created with little data."),
|
errdetail("Index may have been created with little data."),
|
||||||
errhint("Recreate the index and possibly decrease lists.")));
|
errhint("Recreate the index and possibly decrease lists.")));
|
||||||
|
|
||||||
tuplesort_performsort(so->sortstate);
|
tuplesort_performsort(so->sortstate);
|
||||||
|
|
||||||
|
#if defined(IVFFLAT_MEMORY)
|
||||||
|
elog(INFO, "memory: %zu MB", MemoryContextMemAllocated(CurrentMemoryContext, true) / (1024 * 1024));
|
||||||
|
#endif
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -209,7 +218,13 @@ GetScanValue(IndexScanDesc scan)
|
|||||||
|
|
||||||
/* Normalize if needed */
|
/* Normalize if needed */
|
||||||
if (so->normprocinfo != NULL)
|
if (so->normprocinfo != NULL)
|
||||||
|
{
|
||||||
|
MemoryContext oldCtx = MemoryContextSwitchTo(so->tmpCtx);
|
||||||
|
|
||||||
value = IvfflatNormValue(so->typeInfo, so->collation, value);
|
value = IvfflatNormValue(so->typeInfo, so->collation, value);
|
||||||
|
|
||||||
|
MemoryContextSwitchTo(oldCtx);
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
return value;
|
return value;
|
||||||
@@ -240,19 +255,40 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
|||||||
int lists;
|
int lists;
|
||||||
int dimensions;
|
int dimensions;
|
||||||
int probes = ivfflat_probes;
|
int probes = ivfflat_probes;
|
||||||
|
int maxProbes;
|
||||||
|
MemoryContext oldCtx;
|
||||||
|
|
||||||
scan = RelationGetIndexScan(index, nkeys, norderbys);
|
scan = RelationGetIndexScan(index, nkeys, norderbys);
|
||||||
|
|
||||||
/* Get lists and dimensions from metapage */
|
/* Get lists and dimensions from metapage */
|
||||||
IvfflatGetMetaPageInfo(index, &lists, &dimensions);
|
IvfflatGetMetaPageInfo(index, &lists, &dimensions);
|
||||||
|
|
||||||
|
if (ivfflat_iterative_search != IVFFLAT_ITERATIVE_SEARCH_OFF)
|
||||||
|
{
|
||||||
|
maxProbes = ivfflat_max_probes;
|
||||||
|
|
||||||
|
if (maxProbes < 0)
|
||||||
|
maxProbes = lists;
|
||||||
|
else if (maxProbes < probes)
|
||||||
|
{
|
||||||
|
/* TODO Show notice */
|
||||||
|
maxProbes = probes;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
else
|
||||||
|
maxProbes = probes;
|
||||||
|
|
||||||
if (probes > lists)
|
if (probes > lists)
|
||||||
probes = lists;
|
probes = lists;
|
||||||
|
|
||||||
so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList));
|
if (maxProbes > lists)
|
||||||
|
maxProbes = lists;
|
||||||
|
|
||||||
|
so = (IvfflatScanOpaque) palloc(sizeof(IvfflatScanOpaqueData));
|
||||||
so->typeInfo = IvfflatGetTypeInfo(index);
|
so->typeInfo = IvfflatGetTypeInfo(index);
|
||||||
so->first = true;
|
so->first = true;
|
||||||
so->probes = probes;
|
so->probes = probes;
|
||||||
|
so->maxProbes = maxProbes;
|
||||||
so->dimensions = dimensions;
|
so->dimensions = dimensions;
|
||||||
|
|
||||||
/* Set support functions */
|
/* Set support functions */
|
||||||
@@ -260,6 +296,12 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
|||||||
so->normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
so->normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
|
||||||
so->collation = index->rd_indcollation[0];
|
so->collation = index->rd_indcollation[0];
|
||||||
|
|
||||||
|
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||||
|
"Ivfflat scan temporary context",
|
||||||
|
ALLOCSET_DEFAULT_SIZES);
|
||||||
|
|
||||||
|
oldCtx = MemoryContextSwitchTo(so->tmpCtx);
|
||||||
|
|
||||||
/* Create tuple description for sorting */
|
/* Create tuple description for sorting */
|
||||||
so->tupdesc = CreateTemplateTupleDesc(2);
|
so->tupdesc = CreateTemplateTupleDesc(2);
|
||||||
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
|
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
|
||||||
@@ -280,6 +322,11 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
|
|||||||
so->bas = GetAccessStrategy(BAS_BULKREAD);
|
so->bas = GetAccessStrategy(BAS_BULKREAD);
|
||||||
|
|
||||||
so->listQueue = pairingheap_allocate(CompareLists, scan);
|
so->listQueue = pairingheap_allocate(CompareLists, scan);
|
||||||
|
so->listPages = palloc(maxProbes * sizeof(BlockNumber));
|
||||||
|
so->listIndex = 0;
|
||||||
|
so->lists = palloc(maxProbes * sizeof(IvfflatScanList));
|
||||||
|
|
||||||
|
MemoryContextSwitchTo(oldCtx);
|
||||||
|
|
||||||
scan->opaque = so;
|
scan->opaque = so;
|
||||||
|
|
||||||
@@ -294,11 +341,9 @@ ivfflatrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int
|
|||||||
{
|
{
|
||||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||||
|
|
||||||
if (!so->first)
|
|
||||||
tuplesort_reset(so->sortstate);
|
|
||||||
|
|
||||||
so->first = true;
|
so->first = true;
|
||||||
pairingheap_reset(so->listQueue);
|
pairingheap_reset(so->listQueue);
|
||||||
|
so->listIndex = 0;
|
||||||
|
|
||||||
if (keys && scan->numberOfKeys > 0)
|
if (keys && scan->numberOfKeys > 0)
|
||||||
memmove(scan->keyData, keys, scan->numberOfKeys * sizeof(ScanKeyData));
|
memmove(scan->keyData, keys, scan->numberOfKeys * sizeof(ScanKeyData));
|
||||||
@@ -314,6 +359,8 @@ bool
|
|||||||
ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||||
{
|
{
|
||||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||||
|
ItemPointer heaptid;
|
||||||
|
bool isnull;
|
||||||
|
|
||||||
/*
|
/*
|
||||||
* Index can be used to scan backward, but Postgres doesn't support
|
* Index can be used to scan backward, but Postgres doesn't support
|
||||||
@@ -341,28 +388,23 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
|
|||||||
IvfflatBench("GetScanLists", GetScanLists(scan, value));
|
IvfflatBench("GetScanLists", GetScanLists(scan, value));
|
||||||
IvfflatBench("GetScanItems", GetScanItems(scan, value));
|
IvfflatBench("GetScanItems", GetScanItems(scan, value));
|
||||||
so->first = false;
|
so->first = false;
|
||||||
|
so->value = value;
|
||||||
#if defined(IVFFLAT_MEMORY)
|
|
||||||
elog(INFO, "memory: %zu MB", MemoryContextMemAllocated(CurrentMemoryContext, true) / (1024 * 1024));
|
|
||||||
#endif
|
|
||||||
|
|
||||||
/* Clean up if we allocated a new value */
|
|
||||||
if (value != scan->orderByData->sk_argument)
|
|
||||||
pfree(DatumGetPointer(value));
|
|
||||||
}
|
}
|
||||||
|
|
||||||
if (tuplesort_gettupleslot(so->sortstate, true, false, so->mslot, NULL))
|
while (!tuplesort_gettupleslot(so->sortstate, true, false, so->mslot, NULL))
|
||||||
{
|
{
|
||||||
bool isnull;
|
if (so->listIndex == so->maxProbes)
|
||||||
ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->mslot, 2, &isnull));
|
return false;
|
||||||
|
|
||||||
scan->xs_heaptid = *heaptid;
|
IvfflatBench("GetScanItems", GetScanItems(scan, so->value));
|
||||||
scan->xs_recheck = false;
|
|
||||||
scan->xs_recheckorderby = false;
|
|
||||||
return true;
|
|
||||||
}
|
}
|
||||||
|
|
||||||
return false;
|
heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->mslot, 2, &isnull));
|
||||||
|
|
||||||
|
scan->xs_heaptid = *heaptid;
|
||||||
|
scan->xs_recheck = false;
|
||||||
|
scan->xs_recheckorderby = false;
|
||||||
|
return true;
|
||||||
}
|
}
|
||||||
|
|
||||||
/*
|
/*
|
||||||
@@ -373,12 +415,10 @@ ivfflatendscan(IndexScanDesc scan)
|
|||||||
{
|
{
|
||||||
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
|
||||||
|
|
||||||
pairingheap_free(so->listQueue);
|
/* Free any temporary files */
|
||||||
tuplesort_end(so->sortstate);
|
tuplesort_end(so->sortstate);
|
||||||
FreeAccessStrategy(so->bas);
|
|
||||||
FreeTupleDesc(so->tupdesc);
|
|
||||||
|
|
||||||
/* TODO Free vslot and mslot without freeing TupleDesc */
|
MemoryContextDelete(so->tmpCtx);
|
||||||
|
|
||||||
pfree(so);
|
pfree(so);
|
||||||
scan->opaque = NULL;
|
scan->opaque = NULL;
|
||||||
|
|||||||
@@ -26,7 +26,7 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
|
|||||||
Page cpage;
|
Page cpage;
|
||||||
OffsetNumber coffno;
|
OffsetNumber coffno;
|
||||||
OffsetNumber cmaxoffno;
|
OffsetNumber cmaxoffno;
|
||||||
BlockNumber startPages[MaxOffsetNumber];
|
BlockNumber listPages[MaxOffsetNumber];
|
||||||
ListInfo listInfo;
|
ListInfo listInfo;
|
||||||
|
|
||||||
cbuf = ReadBuffer(index, blkno);
|
cbuf = ReadBuffer(index, blkno);
|
||||||
@@ -40,7 +40,7 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
|
|||||||
{
|
{
|
||||||
IvfflatList list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, coffno));
|
IvfflatList list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, coffno));
|
||||||
|
|
||||||
startPages[coffno - FirstOffsetNumber] = list->startPage;
|
listPages[coffno - FirstOffsetNumber] = list->startPage;
|
||||||
}
|
}
|
||||||
|
|
||||||
listInfo.blkno = blkno;
|
listInfo.blkno = blkno;
|
||||||
@@ -50,7 +50,7 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
|
|||||||
|
|
||||||
for (coffno = FirstOffsetNumber; coffno <= cmaxoffno; coffno = OffsetNumberNext(coffno))
|
for (coffno = FirstOffsetNumber; coffno <= cmaxoffno; coffno = OffsetNumberNext(coffno))
|
||||||
{
|
{
|
||||||
BlockNumber searchPage = startPages[coffno - FirstOffsetNumber];
|
BlockNumber searchPage = listPages[coffno - FirstOffsetNumber];
|
||||||
BlockNumber insertPage = InvalidBlockNumber;
|
BlockNumber insertPage = InvalidBlockNumber;
|
||||||
|
|
||||||
/* Iterate over entry pages */
|
/* Iterate over entry pages */
|
||||||
|
|||||||
18
src/vector.c
18
src/vector.c
@@ -155,24 +155,6 @@ CheckStateArray(ArrayType *statearray, const char *caller)
|
|||||||
return (float8 *) ARR_DATA_PTR(statearray);
|
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
|
* Convert textual representation to internal representation
|
||||||
*/
|
*/
|
||||||
|
|||||||
@@ -99,6 +99,32 @@ SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::vector)) t2
|
|||||||
4
|
4
|
||||||
(1 row)
|
(1 row)
|
||||||
|
|
||||||
|
DROP TABLE t;
|
||||||
|
-- iterative
|
||||||
|
CREATE TABLE t (val vector(3));
|
||||||
|
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||||
|
CREATE INDEX ON t USING hnsw (val vector_l2_ops);
|
||||||
|
SET hnsw.iterative_search = strict_order;
|
||||||
|
SET hnsw.ef_search = 1;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
val
|
||||||
|
---------
|
||||||
|
[1,2,3]
|
||||||
|
[1,1,1]
|
||||||
|
[0,0,0]
|
||||||
|
(3 rows)
|
||||||
|
|
||||||
|
SET hnsw.iterative_search = relaxed_order;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
val
|
||||||
|
---------
|
||||||
|
[1,2,3]
|
||||||
|
[1,1,1]
|
||||||
|
[0,0,0]
|
||||||
|
(3 rows)
|
||||||
|
|
||||||
|
RESET hnsw.iterative_search;
|
||||||
|
RESET hnsw.ef_search;
|
||||||
DROP TABLE t;
|
DROP TABLE t;
|
||||||
-- unlogged
|
-- unlogged
|
||||||
CREATE UNLOGGED TABLE t (val vector(3));
|
CREATE UNLOGGED TABLE t (val vector(3));
|
||||||
@@ -139,4 +165,21 @@ SET hnsw.ef_search = 0;
|
|||||||
ERROR: 0 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
|
ERROR: 0 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
|
||||||
SET hnsw.ef_search = 1001;
|
SET hnsw.ef_search = 1001;
|
||||||
ERROR: 1001 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
|
ERROR: 1001 is outside the valid range for parameter "hnsw.ef_search" (1 .. 1000)
|
||||||
|
SHOW hnsw.iterative_search;
|
||||||
|
hnsw.iterative_search
|
||||||
|
-----------------------
|
||||||
|
off
|
||||||
|
(1 row)
|
||||||
|
|
||||||
|
SET hnsw.iterative_search = on;
|
||||||
|
ERROR: invalid value for parameter "hnsw.iterative_search": "on"
|
||||||
|
HINT: Available values: off, relaxed_order, strict_order.
|
||||||
|
SHOW hnsw.max_search_tuples;
|
||||||
|
hnsw.max_search_tuples
|
||||||
|
------------------------
|
||||||
|
-1
|
||||||
|
(1 row)
|
||||||
|
|
||||||
|
SET hnsw.max_search_tuples = -2;
|
||||||
|
ERROR: -2 is outside the valid range for parameter "hnsw.max_search_tuples" (-1 .. 2147483647)
|
||||||
DROP TABLE t;
|
DROP TABLE t;
|
||||||
|
|||||||
@@ -81,6 +81,44 @@ SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2
|
|||||||
3
|
3
|
||||||
(1 row)
|
(1 row)
|
||||||
|
|
||||||
|
DROP TABLE t;
|
||||||
|
-- iterative
|
||||||
|
CREATE TABLE t (val vector(3));
|
||||||
|
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||||
|
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 3);
|
||||||
|
SET ivfflat.iterative_search = relaxed_order;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
val
|
||||||
|
---------
|
||||||
|
[1,2,3]
|
||||||
|
[1,1,1]
|
||||||
|
[0,0,0]
|
||||||
|
(3 rows)
|
||||||
|
|
||||||
|
SET ivfflat.max_probes = 0;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
val
|
||||||
|
---------
|
||||||
|
[1,2,3]
|
||||||
|
(1 row)
|
||||||
|
|
||||||
|
SET ivfflat.max_probes = 1;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
val
|
||||||
|
---------
|
||||||
|
[1,2,3]
|
||||||
|
(1 row)
|
||||||
|
|
||||||
|
SET ivfflat.max_probes = 2;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
val
|
||||||
|
---------
|
||||||
|
[1,2,3]
|
||||||
|
[1,1,1]
|
||||||
|
(2 rows)
|
||||||
|
|
||||||
|
RESET ivfflat.iterative_search;
|
||||||
|
RESET ivfflat.max_probes;
|
||||||
DROP TABLE t;
|
DROP TABLE t;
|
||||||
-- unlogged
|
-- unlogged
|
||||||
CREATE UNLOGGED TABLE t (val vector(3));
|
CREATE UNLOGGED TABLE t (val vector(3));
|
||||||
@@ -109,4 +147,27 @@ SHOW ivfflat.probes;
|
|||||||
1
|
1
|
||||||
(1 row)
|
(1 row)
|
||||||
|
|
||||||
|
SET ivfflat.probes = 0;
|
||||||
|
ERROR: 0 is outside the valid range for parameter "ivfflat.probes" (1 .. 32768)
|
||||||
|
SET ivfflat.probes = 32769;
|
||||||
|
ERROR: 32769 is outside the valid range for parameter "ivfflat.probes" (1 .. 32768)
|
||||||
|
SHOW ivfflat.iterative_search;
|
||||||
|
ivfflat.iterative_search
|
||||||
|
--------------------------
|
||||||
|
off
|
||||||
|
(1 row)
|
||||||
|
|
||||||
|
SET ivfflat.iterative_search = on;
|
||||||
|
ERROR: invalid value for parameter "ivfflat.iterative_search": "on"
|
||||||
|
HINT: Available values: off, relaxed_order.
|
||||||
|
SHOW ivfflat.max_probes;
|
||||||
|
ivfflat.max_probes
|
||||||
|
--------------------
|
||||||
|
-1
|
||||||
|
(1 row)
|
||||||
|
|
||||||
|
SET ivfflat.max_probes = -2;
|
||||||
|
ERROR: -2 is outside the valid range for parameter "ivfflat.max_probes" (-1 .. 32768)
|
||||||
|
SET ivfflat.max_probes = 32769;
|
||||||
|
ERROR: 32769 is outside the valid range for parameter "ivfflat.max_probes" (-1 .. 32768)
|
||||||
DROP TABLE t;
|
DROP TABLE t;
|
||||||
|
|||||||
@@ -57,6 +57,23 @@ SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <+> (SELECT NULL::vector)) t2
|
|||||||
|
|
||||||
DROP TABLE t;
|
DROP TABLE t;
|
||||||
|
|
||||||
|
-- iterative
|
||||||
|
|
||||||
|
CREATE TABLE t (val vector(3));
|
||||||
|
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||||
|
CREATE INDEX ON t USING hnsw (val vector_l2_ops);
|
||||||
|
|
||||||
|
SET hnsw.iterative_search = strict_order;
|
||||||
|
SET hnsw.ef_search = 1;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
|
||||||
|
SET hnsw.iterative_search = relaxed_order;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
|
||||||
|
RESET hnsw.iterative_search;
|
||||||
|
RESET hnsw.ef_search;
|
||||||
|
DROP TABLE t;
|
||||||
|
|
||||||
-- unlogged
|
-- unlogged
|
||||||
|
|
||||||
CREATE UNLOGGED TABLE t (val vector(3));
|
CREATE UNLOGGED TABLE t (val vector(3));
|
||||||
@@ -81,4 +98,12 @@ SHOW hnsw.ef_search;
|
|||||||
SET hnsw.ef_search = 0;
|
SET hnsw.ef_search = 0;
|
||||||
SET hnsw.ef_search = 1001;
|
SET hnsw.ef_search = 1001;
|
||||||
|
|
||||||
|
SHOW hnsw.iterative_search;
|
||||||
|
|
||||||
|
SET hnsw.iterative_search = on;
|
||||||
|
|
||||||
|
SHOW hnsw.max_search_tuples;
|
||||||
|
|
||||||
|
SET hnsw.max_search_tuples = -2;
|
||||||
|
|
||||||
DROP TABLE t;
|
DROP TABLE t;
|
||||||
|
|||||||
@@ -44,6 +44,28 @@ SELECT COUNT(*) FROM (SELECT * FROM t ORDER BY val <=> (SELECT NULL::vector)) t2
|
|||||||
|
|
||||||
DROP TABLE t;
|
DROP TABLE t;
|
||||||
|
|
||||||
|
-- iterative
|
||||||
|
|
||||||
|
CREATE TABLE t (val vector(3));
|
||||||
|
INSERT INTO t (val) VALUES ('[0,0,0]'), ('[1,2,3]'), ('[1,1,1]'), (NULL);
|
||||||
|
CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 3);
|
||||||
|
|
||||||
|
SET ivfflat.iterative_search = relaxed_order;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
|
||||||
|
SET ivfflat.max_probes = 0;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
|
||||||
|
SET ivfflat.max_probes = 1;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
|
||||||
|
SET ivfflat.max_probes = 2;
|
||||||
|
SELECT * FROM t ORDER BY val <-> '[3,3,3]';
|
||||||
|
|
||||||
|
RESET ivfflat.iterative_search;
|
||||||
|
RESET ivfflat.max_probes;
|
||||||
|
DROP TABLE t;
|
||||||
|
|
||||||
-- unlogged
|
-- unlogged
|
||||||
|
|
||||||
CREATE UNLOGGED TABLE t (val vector(3));
|
CREATE UNLOGGED TABLE t (val vector(3));
|
||||||
@@ -62,4 +84,16 @@ CREATE INDEX ON t USING ivfflat (val vector_l2_ops) WITH (lists = 32769);
|
|||||||
|
|
||||||
SHOW ivfflat.probes;
|
SHOW ivfflat.probes;
|
||||||
|
|
||||||
|
SET ivfflat.probes = 0;
|
||||||
|
SET ivfflat.probes = 32769;
|
||||||
|
|
||||||
|
SHOW ivfflat.iterative_search;
|
||||||
|
|
||||||
|
SET ivfflat.iterative_search = on;
|
||||||
|
|
||||||
|
SHOW ivfflat.max_probes;
|
||||||
|
|
||||||
|
SET ivfflat.max_probes = -2;
|
||||||
|
SET ivfflat.max_probes = 32769;
|
||||||
|
|
||||||
DROP TABLE t;
|
DROP TABLE t;
|
||||||
|
|||||||
@@ -6,13 +6,7 @@ use Test::More;
|
|||||||
|
|
||||||
my $dim = 3;
|
my $dim = 3;
|
||||||
|
|
||||||
my @r = ();
|
my $array_sql = join(",", ('random()') x $dim);
|
||||||
for (1 .. $dim)
|
|
||||||
{
|
|
||||||
my $v = int(rand(1000)) + 1;
|
|
||||||
push(@r, "i % $v");
|
|
||||||
}
|
|
||||||
my $array_sql = join(", ", @r);
|
|
||||||
|
|
||||||
# Initialize node
|
# Initialize node
|
||||||
my $node = PostgreSQL::Test::Cluster->new('node');
|
my $node = PostgreSQL::Test::Cluster->new('node');
|
||||||
@@ -23,19 +17,20 @@ $node->start;
|
|||||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
|
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
|
||||||
$node->safe_psql("postgres",
|
$node->safe_psql("postgres",
|
||||||
"INSERT INTO tst SELECT i % 10, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||||
);
|
);
|
||||||
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
||||||
|
|
||||||
# Get size
|
# Get size
|
||||||
my $size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_idx');");
|
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
|
# Delete all, vacuum, and insert same data
|
||||||
$node->safe_psql("postgres", "DELETE FROM tst;");
|
$node->safe_psql("postgres", "DELETE FROM tst;");
|
||||||
$node->safe_psql("postgres", "VACUUM tst;");
|
$node->safe_psql("postgres", "VACUUM tst;");
|
||||||
$node->safe_psql("postgres",
|
$node->safe_psql("postgres", "INSERT INTO tst SELECT * FROM tmp;");
|
||||||
"INSERT INTO tst SELECT i % 10, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
|
||||||
);
|
|
||||||
|
|
||||||
# Check size
|
# Check size
|
||||||
my $new_size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_idx');");
|
my $new_size = $node->safe_psql("postgres", "SELECT pg_total_relation_size('tst_v_idx');");
|
||||||
|
|||||||
@@ -94,8 +94,7 @@ like($explain, qr/Seq Scan/);
|
|||||||
$explain = $node->safe_psql("postgres", qq(
|
$explain = $node->safe_psql("postgres", qq(
|
||||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query';
|
EXPLAIN ANALYZE SELECT i FROM tst WHERE v <-> '$query' < 1 ORDER BY v <-> '$query';
|
||||||
));
|
));
|
||||||
# TODO Do not use index
|
like($explain, qr/Seq Scan/);
|
||||||
like($explain, qr/Index Scan using idx/);
|
|
||||||
|
|
||||||
# Test attribute index
|
# Test attribute index
|
||||||
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
||||||
@@ -110,7 +109,6 @@ $node->safe_psql("postgres", "CREATE INDEX partial_idx ON tst USING ivfflat (v v
|
|||||||
$explain = $node->safe_psql("postgres", qq(
|
$explain = $node->safe_psql("postgres", qq(
|
||||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||||
));
|
));
|
||||||
# TODO Use partial index
|
like($explain, qr/Index Scan using partial_idx/);
|
||||||
like($explain, qr/Index Scan using idx/);
|
|
||||||
|
|
||||||
done_testing();
|
done_testing();
|
||||||
|
|||||||
@@ -18,9 +18,13 @@ $node->start;
|
|||||||
# Create table and index
|
# Create table and index
|
||||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int4, t text);");
|
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim), c int4, t text);");
|
||||||
|
$node->safe_psql("postgres", "CREATE TABLE cat (i int4 PRIMARY KEY, t text, b boolean);");
|
||||||
$node->safe_psql("postgres",
|
$node->safe_psql("postgres",
|
||||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql], i % $nc, 'test ' || i FROM generate_series(1, 10000) i;"
|
"INSERT INTO tst SELECT i, ARRAY[$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", "CREATE INDEX idx ON tst USING hnsw (v vector_l2_ops);");
|
||||||
$node->safe_psql("postgres", "ANALYZE tst;");
|
$node->safe_psql("postgres", "ANALYZE tst;");
|
||||||
|
|
||||||
@@ -37,8 +41,7 @@ my $c = int(rand() * $nc);
|
|||||||
my $explain = $node->safe_psql("postgres", qq(
|
my $explain = $node->safe_psql("postgres", qq(
|
||||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||||
));
|
));
|
||||||
# TODO Do not use index
|
like($explain, qr/Seq Scan/);
|
||||||
like($explain, qr/Index Scan using idx/);
|
|
||||||
|
|
||||||
# Test attribute filtering with few rows removed
|
# Test attribute filtering with few rows removed
|
||||||
$explain = $node->safe_psql("postgres", qq(
|
$explain = $node->safe_psql("postgres", qq(
|
||||||
@@ -56,8 +59,7 @@ like($explain, qr/Index Scan using idx/);
|
|||||||
$explain = $node->safe_psql("postgres", qq(
|
$explain = $node->safe_psql("postgres", qq(
|
||||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
EXPLAIN ANALYZE SELECT i FROM tst WHERE c < 1 ORDER BY v <-> '$query' LIMIT $limit;
|
||||||
));
|
));
|
||||||
# TODO Do not use index
|
like($explain, qr/Seq Scan/);
|
||||||
like($explain, qr/Index Scan using idx/);
|
|
||||||
|
|
||||||
# Test attribute filtering with few rows removed like
|
# Test attribute filtering with few rows removed like
|
||||||
$explain = $node->safe_psql("postgres", qq(
|
$explain = $node->safe_psql("postgres", qq(
|
||||||
@@ -96,13 +98,25 @@ $explain = $node->safe_psql("postgres", qq(
|
|||||||
));
|
));
|
||||||
like($explain, qr/Seq Scan/);
|
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
|
# Test attribute index
|
||||||
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
$node->safe_psql("postgres", "CREATE INDEX attribute_idx ON tst (c);");
|
||||||
$explain = $node->safe_psql("postgres", qq(
|
$explain = $node->safe_psql("postgres", qq(
|
||||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
EXPLAIN ANALYZE SELECT i FROM tst WHERE c = $c ORDER BY v <-> '$query' LIMIT $limit;
|
||||||
));
|
));
|
||||||
# TODO Use attribute index
|
# Use attribute index
|
||||||
like($explain, qr/Index Scan using idx/);
|
like($explain, qr/Bitmap Index Scan on attribute_idx/);
|
||||||
|
|
||||||
# Test partial index
|
# Test partial index
|
||||||
$node->safe_psql("postgres", "CREATE INDEX partial_idx ON tst USING hnsw (v vector_l2_ops) WHERE (c = $c);");
|
$node->safe_psql("postgres", "CREATE INDEX partial_idx ON tst USING hnsw (v vector_l2_ops) WHERE (c = $c);");
|
||||||
|
|||||||
60
test/t/039_hnsw_cost.pl
Normal file
60
test/t/039_hnsw_cost.pl
Normal file
@@ -0,0 +1,60 @@
|
|||||||
|
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();
|
||||||
50
test/t/040_ivfflat_cost.pl
Normal file
50
test/t/040_ivfflat_cost.pl
Normal file
@@ -0,0 +1,50 @@
|
|||||||
|
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();
|
||||||
54
test/t/041_ivfflat_iterative_search.pl
Normal file
54
test/t/041_ivfflat_iterative_search.pl
Normal file
@@ -0,0 +1,54 @@
|
|||||||
|
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;");
|
||||||
|
$node->safe_psql("postgres", "CREATE TABLE tst (i int4 PRIMARY KEY, v vector($dim));");
|
||||||
|
$node->safe_psql("postgres",
|
||||||
|
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||||
|
);
|
||||||
|
$node->safe_psql("postgres", "CREATE INDEX ON tst USING ivfflat (v vector_l2_ops);");
|
||||||
|
|
||||||
|
my $count = $node->safe_psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET ivfflat.probes = 10;
|
||||||
|
SET ivfflat.iterative_search = relaxed_order;
|
||||||
|
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||||
|
));
|
||||||
|
is($count, 10);
|
||||||
|
|
||||||
|
foreach ((30, 50, 70))
|
||||||
|
{
|
||||||
|
my $max_probes = $_;
|
||||||
|
my $expected = $max_probes / 10;
|
||||||
|
my $sum = 0;
|
||||||
|
|
||||||
|
for my $i (1 .. 20)
|
||||||
|
{
|
||||||
|
$count = $node->safe_psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET ivfflat.probes = 10;
|
||||||
|
SET ivfflat.iterative_search = relaxed_order;
|
||||||
|
SET ivfflat.max_probes = $max_probes;
|
||||||
|
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst WHERE i = $i) LIMIT 11) t;
|
||||||
|
));
|
||||||
|
$sum += $count;
|
||||||
|
}
|
||||||
|
|
||||||
|
my $avg = $sum / 20;
|
||||||
|
cmp_ok($avg, '>', $expected - 2);
|
||||||
|
cmp_ok($avg, '<', $expected + 2);
|
||||||
|
}
|
||||||
|
|
||||||
|
done_testing();
|
||||||
125
test/t/042_ivfflat_iterative_search_recall.pl
Normal file
125
test/t/042_ivfflat_iterative_search_recall.pl
Normal file
@@ -0,0 +1,125 @@
|
|||||||
|
use strict;
|
||||||
|
use warnings FATAL => 'all';
|
||||||
|
use PostgreSQL::Test::Cluster;
|
||||||
|
use PostgreSQL::Test::Utils;
|
||||||
|
use Test::More;
|
||||||
|
|
||||||
|
my $node;
|
||||||
|
my @queries = ();
|
||||||
|
my @expected;
|
||||||
|
my $limit = 20;
|
||||||
|
my @cs = (100, 1000);
|
||||||
|
|
||||||
|
sub test_recall
|
||||||
|
{
|
||||||
|
my ($c, $probes, $min, $operator) = @_;
|
||||||
|
my $correct = 0;
|
||||||
|
my $total = 0;
|
||||||
|
|
||||||
|
my $explain = $node->safe_psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET ivfflat.probes = $probes;
|
||||||
|
SET ivfflat.iterative_search = relaxed_order;
|
||||||
|
EXPLAIN ANALYZE SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||||
|
));
|
||||||
|
like($explain, qr/Index Scan using idx on tst/);
|
||||||
|
|
||||||
|
for my $i (0 .. $#queries)
|
||||||
|
{
|
||||||
|
my $actual = $node->safe_psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET ivfflat.probes = $probes;
|
||||||
|
SET ivfflat.iterative_search = relaxed_order;
|
||||||
|
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 $c");
|
||||||
|
}
|
||||||
|
|
||||||
|
# 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(3));");
|
||||||
|
$node->safe_psql("postgres",
|
||||||
|
"INSERT INTO tst SELECT i, ARRAY[random(), random(), random()] FROM generate_series(1, 100000) i;"
|
||||||
|
);
|
||||||
|
|
||||||
|
# Generate queries
|
||||||
|
for (1 .. 20)
|
||||||
|
{
|
||||||
|
my $r1 = rand();
|
||||||
|
my $r2 = rand();
|
||||||
|
my $r3 = rand();
|
||||||
|
push(@queries, "[$r1,$r2,$r3]");
|
||||||
|
}
|
||||||
|
|
||||||
|
# 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", "CREATE INDEX idx ON tst USING ivfflat (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, 1, 0.57, $operator);
|
||||||
|
test_recall($c, 10, 0.98, $operator);
|
||||||
|
}
|
||||||
|
else
|
||||||
|
{
|
||||||
|
if ($operator eq "<->")
|
||||||
|
{
|
||||||
|
test_recall($c, 1, 0.80, $operator);
|
||||||
|
}
|
||||||
|
else
|
||||||
|
{
|
||||||
|
test_recall($c, 1, 0.88, $operator);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||||
|
}
|
||||||
|
|
||||||
|
done_testing();
|
||||||
67
test/t/043_hnsw_iterative_search.pl
Normal file
67
test/t/043_hnsw_iterative_search.pl
Normal file
@@ -0,0 +1,67 @@
|
|||||||
|
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;");
|
||||||
|
$node->safe_psql("postgres", "CREATE TABLE tst (i int4 PRIMARY KEY, v vector($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 = $node->safe_psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET hnsw.iterative_search = relaxed_order;
|
||||||
|
SET work_mem = '8MB';
|
||||||
|
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||||
|
));
|
||||||
|
is($count, 10);
|
||||||
|
|
||||||
|
foreach ((30000, 50000, 70000))
|
||||||
|
{
|
||||||
|
my $max_tuples = $_;
|
||||||
|
my $expected = $max_tuples / 10000;
|
||||||
|
my $sum = 0;
|
||||||
|
|
||||||
|
for my $i (1 .. 20)
|
||||||
|
{
|
||||||
|
$count = $node->safe_psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET hnsw.iterative_search = relaxed_order;
|
||||||
|
SET hnsw.max_search_tuples = $max_tuples;
|
||||||
|
SET work_mem = '8MB';
|
||||||
|
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst WHERE i = $i) LIMIT 11) t;
|
||||||
|
));
|
||||||
|
$sum += $count;
|
||||||
|
}
|
||||||
|
|
||||||
|
my $avg = $sum / 20;
|
||||||
|
cmp_ok($avg, '>', $expected - 2);
|
||||||
|
cmp_ok($avg, '<', $expected + 2);
|
||||||
|
}
|
||||||
|
|
||||||
|
my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET hnsw.iterative_search = relaxed_order;
|
||||||
|
SET client_min_messages = debug1;
|
||||||
|
SET work_mem = '2MB';
|
||||||
|
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||||
|
));
|
||||||
|
like($stderr, qr/hnsw index scan exceeded work_mem after \d+ tuples/);
|
||||||
|
|
||||||
|
done_testing();
|
||||||
118
test/t/044_hnsw_iterative_search_recall.pl
Normal file
118
test/t/044_hnsw_iterative_search_recall.pl
Normal file
@@ -0,0 +1,118 @@
|
|||||||
|
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 $dim);
|
||||||
|
my @cs = (50, 500);
|
||||||
|
|
||||||
|
sub test_recall
|
||||||
|
{
|
||||||
|
my ($c, $ef_search, $min, $operator, $mode) = @_;
|
||||||
|
my $correct = 0;
|
||||||
|
my $total = 0;
|
||||||
|
|
||||||
|
my $explain = $node->safe_psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET hnsw.ef_search = $ef_search;
|
||||||
|
SET hnsw.iterative_search = $mode;
|
||||||
|
EXPLAIN ANALYZE SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||||
|
));
|
||||||
|
like($explain, qr/Index Scan using idx on tst/);
|
||||||
|
|
||||||
|
for my $i (0 .. $#queries)
|
||||||
|
{
|
||||||
|
my $actual = $node->safe_psql("postgres", qq(
|
||||||
|
SET enable_seqscan = off;
|
||||||
|
SET hnsw.ef_search = $ef_search;
|
||||||
|
SET hnsw.iterative_search = $mode;
|
||||||
|
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 $mode $c");
|
||||||
|
}
|
||||||
|
|
||||||
|
# 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, 50000) 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, $res);
|
||||||
|
}
|
||||||
|
|
||||||
|
test_recall($c, 40, 0.99, $operator, "strict_order");
|
||||||
|
test_recall($c, 40, 0.99, $operator, "relaxed_order");
|
||||||
|
}
|
||||||
|
|
||||||
|
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||||
|
}
|
||||||
|
|
||||||
|
done_testing();
|
||||||
Reference in New Issue
Block a user