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23 Commits

Author SHA1 Message Date
Andrew Kane
e2f915c46b Use maintenance_io_concurrency where needed [skip ci] 2025-07-12 09:12:00 -07:00
Andrew Kane
6caa4ec207 Updated comment [skip ci] 2025-07-12 09:10:43 -07:00
Andrew Kane
b9b5e8d305 Fixed compiler warning [skip ci] 2025-07-12 08:58:07 -07:00
Andrew Kane
1c8128d2f0 Improved naming [skip ci] 2025-07-11 18:45:54 -07:00
Andrew Kane
e09d9f0abb Added todo [skip ci] 2025-07-11 18:38:44 -07:00
Andrew Kane
f6e9a56415 Improved code [skip ci] 2025-07-11 17:11:39 -07:00
Andrew Kane
911935b695 Improved performance of HNSW index scans for Postgres 17 2025-07-11 16:36:17 -07:00
Andrew Kane
44163d0a97 Revert "Added OS to Dockerfile [skip ci]"
This reverts commit 33ca8a61e2.
2025-07-09 22:01:34 -07:00
Andrew Kane
33ca8a61e2 Added OS to Dockerfile [skip ci] 2025-07-09 16:25:05 -07:00
Andrew Kane
742e2d1d28 Synced .dockerignore with .gitignore [skip ci] 2025-07-09 16:22:43 -07:00
Andrew Kane
a7c49d8283 Updated readme [skip ci] 2025-07-01 11:13:29 -07:00
Andrew Kane
ae9ee81e4d Fixed relaxed results example for Postgres 17 - #862 [skip ci] 2025-07-01 10:11:50 -07:00
Andrew Kane
fa1dee4e3b Updated link [skip ci] 2025-07-01 03:35:26 -07:00
Andrew Kane
e6bad96a03 Ran pgindent [skip ci] 2025-06-18 20:07:46 -07:00
Jon Daniel
3a49d141b3 Vectorizing vector_concat for improved performance (#861)
* Vectorizing vector_concat for improved performance

On an ARM chip this should generate SIMD instructions to copy the two
incoming vectors to the new vector as opposed to doing it all in
software.

* Moving declarations to above CheckDim

* Removing const from dims

* Formatting
2025-06-18 20:06:32 -07:00
Andrew Kane
ce09c9a27a Improved variable names [skip ci] 2025-06-18 17:32:37 -07:00
Andrew Kane
870ca6724d Fixed CI [skip ci] 2025-06-18 16:26:30 -07:00
Andrew Kane
8ad680f009 Ran pgindent [skip ci] 2025-06-18 16:11:15 -07:00
Jon Daniel
fe697e8788 vectorize: optimize VectorSumCenter and HalfvecSumCenter (#860)
* vectorize: optimize VectorSumCenter and HalfvecSumCenter

The functions VectorSumCenter and HalfvecSumCenter were not being
vectorized by the compiler. A few slight changes will allow these
optimizations to take place and get a performance boost by utilizing
SIMD instructions.

This optimization helps improve performance of vector operations in IVF
index building and updating.

* Removing const, commenting that it is only vectoirzed on ARM
2025-06-18 16:09:43 -07:00
Andrew Kane
bf28ed8176 Set random seed for IVFFLAT_BENCH [skip ci] 2025-06-18 10:57:18 -07:00
Andrew Kane
799cfebf70 Updated readme [skip ci] 2025-06-04 14:29:53 -07:00
Andrew Kane
3cd1f09f66 Updated Windows installation instructions - #593 [skip ci] 2025-06-04 14:18:53 -07:00
Andrew Kane
e2efe62fe5 Updated readme [skip ci] 2025-05-12 13:11:43 -07:00
14 changed files with 139 additions and 57 deletions

View File

@@ -1,8 +1,15 @@
/.git/
/dist/
/log/
/results/
/tmp_check/
/sql/vector--?.?.?.sql
regression.*
*.o
*.so
*.bc
*.dll
*.dylib
*.obj
*.lib
*.exp

View File

@@ -57,7 +57,7 @@ jobs:
postgres-version: ${{ matrix.postgres }}
- run: make
env:
PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter
PG_CFLAGS: -DUSE_ASSERT_CHECKING -Wall -Wextra -Werror -Wno-unused-parameter -Wno-unknown-warning-option
- run: make install
- run: make installcheck
- if: ${{ failure() }}

View File

@@ -1,3 +1,7 @@
## 0.8.1 (unreleased)
- Improved performance of HNSW index scans for Postgres 17
## 0.8.0 (2024-10-30)
- Added support for iterative index scans

View File

@@ -33,18 +33,10 @@ You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#p
### Windows
Ensure [C++ support in Visual Studio](https://learn.microsoft.com/en-us/cpp/build/building-on-the-command-line?view=msvc-170#download-and-install-the-tools) is installed, and run:
Ensure [C++ support in Visual Studio](https://learn.microsoft.com/en-us/cpp/build/building-on-the-command-line?view=msvc-170#download-and-install-the-tools) is installed and run `x64 Native Tools Command Prompt for VS [version]` as administrator. Then use `nmake` to build:
```cmd
call "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvars64.bat"
```
Note: The exact path will vary depending on your Visual Studio version and edition
Then use `nmake` to build:
```cmd
set "PGROOT=C:\Program Files\PostgreSQL\16"
set "PGROOT=C:\Program Files\PostgreSQL\17"
cd %TEMP%
git clone --branch v0.8.0 https://github.com/pgvector/pgvector.git
cd pgvector
@@ -500,9 +492,11 @@ With relaxed ordering, you can use a [materialized CTE](https://www.postgresql.o
```sql
WITH relaxed_results AS MATERIALIZED (
SELECT id, embedding <-> '[1,2,3]' AS distance FROM items WHERE category_id = 123 ORDER BY distance LIMIT 5
) SELECT * FROM relaxed_results ORDER BY distance;
) SELECT * FROM relaxed_results ORDER BY distance + 0;
```
Note: `+ 0` is needed for Postgres 17+
For queries that filter by distance, use a materialized CTE and place the distance filter outside of it for best performance (due to the [current behavior](https://www.postgresql.org/message-id/flat/CAOdR5yGUoMQ6j7M5hNUXrySzaqZVGf_Ne%2B8fwZMRKTFxU1nbJg%40mail.gmail.com) of the Postgres executor)
```sql
@@ -791,7 +785,7 @@ Go | [pgvector-go](https://github.com/pgvector/pgvector-go)
Haskell | [pgvector-haskell](https://github.com/pgvector/pgvector-haskell)
Java, Kotlin, Groovy, Scala | [pgvector-java](https://github.com/pgvector/pgvector-java)
JavaScript, TypeScript | [pgvector-node](https://github.com/pgvector/pgvector-node)
Julia | [pgvector-julia](https://github.com/pgvector/pgvector-julia)
Julia | [Pgvector.jl](https://github.com/pgvector/Pgvector.jl)
Lisp | [pgvector-lisp](https://github.com/pgvector/pgvector-lisp)
Lua | [pgvector-lua](https://github.com/pgvector/pgvector-lua)
Nim | [pgvector-nim](https://github.com/pgvector/pgvector-nim)
@@ -1127,7 +1121,7 @@ If compilation fails with `Cannot open include file: 'postgres.h': No such file
### Mismatched Architecture
If compilation fails with `error C2196: case value '4' already used`, make sure `vcvars64.bat` was called. Then run `nmake /F Makefile.win clean` and re-run the installation instructions.
If compilation fails with `error C2196: case value '4' already used`, make sure youre using the `x64 Native Tools Command Prompt`. Then run `nmake /F Makefile.win clean` and re-run the installation instructions.
### Missing Symbol

View File

@@ -362,6 +362,13 @@ typedef union
ItemPointerData indextid;
} HnswUnvisited;
typedef struct HnswReadStreamData
{
HnswUnvisited *unvisited;
int unvisitedLength;
int visited;
} HnswReadStreamData;
typedef struct HnswScanOpaqueData
{
const HnswTypeInfo *typeInfo;
@@ -417,13 +424,13 @@ bool HnswCheckNorm(HnswSupport * support, Datum value);
Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
void HnswInitPage(Buffer buf, Page page);
void HnswInit(void);
List *HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples);
List *HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples, bool maintenance);
HnswElement HnswGetEntryPoint(Relation index);
void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
void *HnswAlloc(HnswAllocator * allocator, Size size);
HnswElement HnswInitElement(char *base, ItemPointer tid, int m, double ml, int maxLevel, HnswAllocator * alloc);
HnswElement HnswInitElementFromBlock(BlockNumber blkno, OffsetNumber offno);
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing);
void HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing, bool maintenance);
HnswSearchCandidate *HnswEntryCandidate(char *base, HnswElement em, HnswQuery * q, Relation rel, HnswSupport * support, bool loadVec);
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
void HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m);

View File

@@ -457,7 +457,7 @@ InsertTupleInMemory(HnswBuildState * buildstate, HnswElement element)
}
/* Find neighbors for element */
HnswFindElementNeighbors(base, element, entryPoint, NULL, support, m, efConstruction, false);
HnswFindElementNeighbors(base, element, entryPoint, NULL, support, m, efConstruction, false, true);
/* Update graph in memory */
UpdateGraphInMemory(support, element, m, efConstruction, entryPoint, buildstate);

View File

@@ -725,7 +725,7 @@ HnswInsertTupleOnDisk(Relation index, HnswSupport * support, Datum value, ItemPo
}
/* Find neighbors for element */
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false);
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, false, building);
/* Update graph on disk */
UpdateGraphOnDisk(index, support, element, m, efConstruction, entryPoint, building);

View File

@@ -37,11 +37,11 @@ GetScanItems(IndexScanDesc scan, Datum value)
for (int lc = entryPoint->level; lc >= 1; lc--)
{
w = HnswSearchLayer(base, q, ep, 1, lc, index, support, m, false, NULL, NULL, NULL, true, NULL);
w = HnswSearchLayer(base, q, ep, 1, lc, index, support, m, false, NULL, NULL, NULL, true, NULL, false);
ep = w;
}
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, &so->v, hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF ? &so->discarded : NULL, true, &so->tuples);
return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, support, m, false, NULL, &so->v, hnsw_iterative_scan != HNSW_ITERATIVE_SCAN_OFF ? &so->discarded : NULL, true, &so->tuples, false);
}
/*
@@ -72,7 +72,7 @@ ResumeScanItems(IndexScanDesc scan)
ep = lappend(ep, sc);
}
return HnswSearchLayer(base, &so->q, ep, batch_size, 0, index, &so->support, so->m, false, NULL, &so->v, &so->discarded, false, &so->tuples);
return HnswSearchLayer(base, &so->q, ep, batch_size, 0, index, &so->support, so->m, false, NULL, &so->v, &so->discarded, false, &so->tuples, false);
}
/*

View File

@@ -15,6 +15,10 @@
#include "utils/memdebug.h"
#include "utils/rel.h"
#if PG_VERSION_NUM >= 170000
#include "storage/read_stream.h"
#endif
#if PG_VERSION_NUM < 170000
static inline uint64
murmurhash64(uint64 data)
@@ -525,14 +529,12 @@ HnswGetDistance(Datum a, Datum b, HnswSupport * support)
* Load an element and optionally get its distance from q
*/
static void
HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
HnswLoadElementImpl(Buffer buf, OffsetNumber offno, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance, HnswElement * element)
{
Buffer buf;
Page page;
HnswElementTuple etup;
/* Read vector */
buf = ReadBuffer(index, blkno);
LockBuffer(buf, BUFFER_LOCK_SHARE);
page = BufferGetPage(buf);
@@ -553,7 +555,7 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
if (distance == NULL || maxDistance == NULL || *distance < *maxDistance)
{
if (*element == NULL)
*element = HnswInitElementFromBlock(blkno, offno);
*element = HnswInitElementFromBlock(BufferGetBlockNumber(buf), offno);
HnswLoadElementFromTuple(*element, etup, true, loadVec);
}
@@ -567,7 +569,9 @@ HnswLoadElementImpl(BlockNumber blkno, OffsetNumber offno, double *distance, Hns
void
HnswLoadElement(HnswElement element, double *distance, HnswQuery * q, Relation index, HnswSupport * support, bool loadVec, double *maxDistance)
{
HnswLoadElementImpl(element->blkno, element->offno, distance, q, index, support, loadVec, maxDistance, &element);
Buffer buf = ReadBuffer(index, element->blkno);
HnswLoadElementImpl(buf, element->offno, distance, q, index, support, loadVec, maxDistance, &element);
}
/*
@@ -805,19 +809,33 @@ HnswLoadUnvisitedFromDisk(HnswElement element, HnswUnvisited * unvisited, int *u
if (!found)
unvisited[(*unvisitedLength)++].indextid = *indextid;
}
#ifdef USE_PREFETCH
/* TODO limit by get_tablespace_io_concurrency */
for (int i = 0; i < *unvisitedLength; i++)
PrefetchBuffer(index, MAIN_FORKNUM, ItemPointerGetBlockNumber(&unvisited[i].indextid));
#endif
}
#if PG_VERSION_NUM >= 170000
/*
* Get next block number for read stream
*/
static BlockNumber
HnswReadStreamNextBlock(ReadStream *stream, void *callback_private_data, void *per_buffer_data)
{
HnswReadStreamData *streamData = callback_private_data;
OffsetNumber *offno = per_buffer_data;
HnswUnvisited *uv;
if (streamData->visited == streamData->unvisitedLength)
return InvalidBlockNumber;
uv = &streamData->unvisited[streamData->visited++];
*offno = ItemPointerGetOffsetNumber(&uv->indextid);
return ItemPointerGetBlockNumber(&uv->indextid);
}
#endif
/*
* Algorithm 2 from paper
*/
List *
HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples)
HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples, bool maintenance)
{
List *w = NIL;
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
@@ -832,6 +850,18 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
int unvisitedLength;
bool inMemory = index == NULL;
#if PG_VERSION_NUM >= 170000
HnswReadStreamData streamData;
ReadStream *stream = NULL;
if (!inMemory)
{
int flags = maintenance ? READ_STREAM_MAINTENANCE : READ_STREAM_DEFAULT;
stream = read_stream_begin_relation(flags, NULL, index, MAIN_FORKNUM, HnswReadStreamNextBlock, &streamData, sizeof(OffsetNumber));
}
#endif
if (v == NULL)
{
v = &vh;
@@ -894,8 +924,18 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
if (inMemory)
HnswLoadUnvisitedFromMemory(base, cElement, unvisited, &unvisitedLength, v, lc, localNeighborhood, neighborhoodSize);
else
{
HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, v, index, m, lm, lc);
#if PG_VERSION_NUM >= 170000
read_stream_reset(stream);
streamData.unvisited = unvisited;
streamData.unvisitedLength = unvisitedLength;
streamData.visited = 0;
#endif
}
/* OK to count elements instead of tuples */
if (tuples != NULL)
(*tuples) += unvisitedLength;
@@ -916,13 +956,24 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
}
else
{
Buffer buf;
OffsetNumber offno;
#if PG_VERSION_NUM >= 170000
void *offnoPtr;
buf = read_stream_next_buffer(stream, &offnoPtr);
offno = *((OffsetNumber *) offnoPtr);
#else
ItemPointer indextid = &unvisited[i].indextid;
BlockNumber blkno = ItemPointerGetBlockNumber(indextid);
OffsetNumber offno = ItemPointerGetOffsetNumber(indextid);
buf = ReadBuffer(index, ItemPointerGetBlockNumber(indextid));
offno = ItemPointerGetOffsetNumber(indextid);
#endif
/* Avoid any allocations if not adding */
eElement = NULL;
HnswLoadElementImpl(blkno, offno, &eDistance, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
HnswLoadElementImpl(buf, offno, &eDistance, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
if (eElement == NULL)
continue;
@@ -978,6 +1029,11 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
w = lappend(w, sc);
}
#if PG_VERSION_NUM >= 170000
if (!inMemory)
read_stream_end(stream);
#endif
return w;
}
@@ -1273,7 +1329,7 @@ PrecomputeHash(char *base, HnswElement element)
* Algorithm 1 from paper
*/
void
HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing)
HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint, Relation index, HnswSupport * support, int m, int efConstruction, bool existing, bool maintenance)
{
List *ep;
List *w;
@@ -1300,7 +1356,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
/* 1st phase: greedy search to insert level */
for (int lc = entryLevel; lc >= level + 1; lc--)
{
w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL, maintenance);
ep = w;
}
@@ -1319,7 +1375,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
List *lw = NIL;
ListCell *lc2;
w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL, maintenance);
/* Convert search candidates to candidates */
foreach(lc2, w)

View File

@@ -208,7 +208,7 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
element->heaptidsLength = 0;
/* Find neighbors for element, skipping itself */
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true);
HnswFindElementNeighbors(base, element, entryPoint, index, support, m, efConstruction, true, true);
/* Zero memory for each element */
MemSet(ntup, 0, HNSW_TUPLE_ALLOC_SIZE);

View File

@@ -1023,6 +1023,10 @@ ivfflatbuild(Relation heap, Relation index, IndexInfo *indexInfo)
IndexBuildResult *result;
IvfflatBuildState buildstate;
#ifdef IVFFLAT_BENCH
SeedRandom(42);
#endif
BuildIndex(heap, index, indexInfo, &buildstate, MAIN_FORKNUM);
result = (IndexBuildResult *) palloc(sizeof(IndexBuildResult));

View File

@@ -73,9 +73,11 @@
#if PG_VERSION_NUM >= 150000
#define RandomDouble() pg_prng_double(&pg_global_prng_state)
#define RandomInt() pg_prng_uint32(&pg_global_prng_state)
#define SeedRandom(seed) pg_prng_seed(&pg_global_prng_state, seed)
#else
#define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE)
#define RandomInt() random()
#define SeedRandom(seed) srandom(seed)
#endif
/* Variables */

View File

@@ -259,8 +259,8 @@ VectorUpdateCenter(Pointer v, int dimensions, float *x)
SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
vec->dim = dimensions;
for (int k = 0; k < dimensions; k++)
vec->x[k] = x[k];
for (int i = 0; i < dimensions; i++)
vec->x[i] = x[i];
}
static void
@@ -271,8 +271,8 @@ HalfvecUpdateCenter(Pointer v, int dimensions, float *x)
SET_VARSIZE(vec, HALFVEC_SIZE(dimensions));
vec->dim = dimensions;
for (int k = 0; k < dimensions; k++)
vec->x[k] = Float4ToHalfUnchecked(x[k]);
for (int i = 0; i < dimensions; i++)
vec->x[i] = Float4ToHalfUnchecked(x[i]);
}
static void
@@ -284,29 +284,33 @@ BitUpdateCenter(Pointer v, int dimensions, float *x)
SET_VARSIZE(vec, VARBITTOTALLEN(dimensions));
VARBITLEN(vec) = dimensions;
for (uint32 k = 0; k < VARBITBYTES(vec); k++)
nx[k] = 0;
for (uint32 i = 0; i < VARBITBYTES(vec); i++)
nx[i] = 0;
for (int k = 0; k < dimensions; k++)
nx[k / 8] |= (x[k] > 0.5 ? 1 : 0) << (7 - (k % 8));
for (int i = 0; i < dimensions; i++)
nx[i / 8] |= (x[i] > 0.5 ? 1 : 0) << (7 - (i % 8));
}
static void
VectorSumCenter(Pointer v, float *x)
{
Vector *vec = (Vector *) v;
int dim = vec->dim;
for (int k = 0; k < vec->dim; k++)
x[k] += vec->x[k];
/* Auto-vectorized */
for (int i = 0; i < dim; i++)
x[i] += vec->x[i];
}
static void
HalfvecSumCenter(Pointer v, float *x)
{
HalfVector *vec = (HalfVector *) v;
int dim = vec->dim;
for (int k = 0; k < vec->dim; k++)
x[k] += HalfToFloat4(vec->x[k]);
/* Auto-vectorized on aarch64 */
for (int i = 0; i < dim; i++)
x[i] += HalfToFloat4(vec->x[i]);
}
static void
@@ -314,8 +318,8 @@ BitSumCenter(Pointer v, float *x)
{
VarBit *vec = (VarBit *) v;
for (int k = 0; k < VARBITLEN(vec); k++)
x[k] += (float) (((VARBITS(vec)[k / 8]) >> (7 - (k % 8))) & 0x01);
for (int i = 0; i < VARBITLEN(vec); i++)
x[i] += (float) (((VARBITS(vec)[i / 8]) >> (7 - (i % 8))) & 0x01);
}
/*

View File

@@ -916,15 +916,19 @@ vector_concat(PG_FUNCTION_ARGS)
Vector *b = PG_GETARG_VECTOR_P(1);
Vector *result;
int dim = a->dim + b->dim;
int dim_a = a->dim;
int dim_b = b->dim;
CheckDim(dim);
result = InitVector(dim);
for (int i = 0; i < a->dim; i++)
/* Auto-vectorized */
for (int i = 0; i < dim_a; i++)
result->x[i] = a->x[i];
for (int i = 0; i < b->dim; i++)
result->x[i + a->dim] = b->x[i];
/* Auto-vectorized */
for (int i = 0; i < dim_b; i++)
result->x[i + dim_a] = b->x[i];
PG_RETURN_POINTER(result);
}