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1 Commits
hnsw-build
...
parallel-i
| Author | SHA1 | Date | |
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f6058beeda |
8
.github/workflows/build.yml
vendored
8
.github/workflows/build.yml
vendored
@@ -23,7 +23,7 @@ jobs:
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- postgres: 13
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os: ubuntu-22.04
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steps:
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- uses: actions/checkout@v5
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- uses: actions/checkout@v4
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- uses: ankane/setup-postgres@v1
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with:
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postgres-version: ${{ matrix.postgres }}
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@@ -53,7 +53,7 @@ jobs:
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- postgres: 14
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os: macos-15-intel
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steps:
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- uses: actions/checkout@v5
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- uses: actions/checkout@v4
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- uses: ankane/setup-postgres@v1
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with:
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postgres-version: ${{ matrix.postgres }}
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@@ -92,7 +92,7 @@ jobs:
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- postgres: 14
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os: windows-2022
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steps:
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- uses: actions/checkout@v5
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- uses: actions/checkout@v4
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- uses: ankane/setup-postgres@v1
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with:
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postgres-version: ${{ matrix.postgres }}
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@@ -133,7 +133,7 @@ jobs:
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if: ${{ !startsWith(github.ref_name, 'mac') && !startsWith(github.ref_name, 'windows') }}
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v5
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- uses: actions/checkout@v4
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- uses: ankane/setup-postgres-valgrind@v1
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with:
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postgres-version: 17
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@@ -1,7 +1,3 @@
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## 0.8.2 (unreleased)
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- Improved performance of HNSW index scans from disk
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## 0.8.1 (2025-09-04)
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- Added support for Postgres 18 rc1
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@@ -1267,7 +1267,6 @@ Thanks to:
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- [k-means++: The Advantage of Careful Seeding](https://theory.stanford.edu/~sergei/papers/kMeansPP-soda.pdf)
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- [Concept Decompositions for Large Sparse Text Data using Clustering](https://www.cs.utexas.edu/users/inderjit/public_papers/concept_mlj.pdf)
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- [Efficient and Robust Approximate Nearest Neighbor Search using Hierarchical Navigable Small World Graphs](https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf)
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- [Turbocharging Vector Databases using Modern SSDs](https://www.vldb.org/pvldb/volumes/18/paper/Turbocharging%20Vector%20Databases%20using%20Modern%20SSDs)
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## History
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122
src/hnswbuild.c
122
src/hnswbuild.c
@@ -131,69 +131,6 @@ HnswBuildAppendPage(Relation index, Buffer *buf, Page *page, ForkNumber forkNum)
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HnswInitPage(*buf, *page);
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}
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static void
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WriteElement(char *base, HnswElement element, HnswElementTuple etup, HnswNeighborTuple ntup, HnswBuildState * buildstate, Size maxSize, Buffer *buf, Page *page, Relation index, ForkNumber forkNum)
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{
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Size etupSize;
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Size ntupSize;
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Size combinedSize;
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Pointer valuePtr;
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/* Skip if already added */
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if (BlockNumberIsValid(element->neighborPage))
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return;
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valuePtr = HnswPtrAccess(base, element->value);
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/* Zero memory for each element */
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MemSet(etup, 0, HNSW_TUPLE_ALLOC_SIZE);
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/* Calculate sizes */
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etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(valuePtr));
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ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, buildstate->m);
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combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
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/* Initial size check */
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if (etupSize > HNSW_TUPLE_ALLOC_SIZE)
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ereport(ERROR,
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(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
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errmsg("index tuple too large")));
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HnswSetElementTuple(base, etup, element);
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/* Keep element and neighbors on the same page if possible */
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if (PageGetFreeSpace(*page) < etupSize || (combinedSize <= maxSize && PageGetFreeSpace(*page) < combinedSize))
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HnswBuildAppendPage(index, buf, page, forkNum);
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/* Calculate offsets */
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element->blkno = BufferGetBlockNumber(*buf);
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element->offno = OffsetNumberNext(PageGetMaxOffsetNumber(*page));
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if (combinedSize <= maxSize)
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{
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element->neighborPage = element->blkno;
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element->neighborOffno = OffsetNumberNext(element->offno);
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}
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else
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{
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element->neighborPage = element->blkno + 1;
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element->neighborOffno = FirstOffsetNumber;
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}
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ItemPointerSet(&etup->neighbortid, element->neighborPage, element->neighborOffno);
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/* Add element */
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if (PageAddItem(*page, (Item) etup, etupSize, InvalidOffsetNumber, false, false) != element->offno)
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elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
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/* Add new page if needed */
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if (PageGetFreeSpace(*page) < ntupSize)
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HnswBuildAppendPage(index, buf, page, forkNum);
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/* Add placeholder for neighbors */
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if (PageAddItem(*page, (Item) ntup, ntupSize, InvalidOffsetNumber, false, false) != element->neighborOffno)
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elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
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}
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/*
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* Create graph pages
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*/
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@@ -227,24 +164,61 @@ CreateGraphPages(HnswBuildState * buildstate)
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while (!HnswPtrIsNull(base, iter))
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{
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HnswElement element = HnswPtrAccess(base, iter);
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Size etupSize;
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Size ntupSize;
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Size combinedSize;
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Pointer valuePtr = HnswPtrAccess(base, element->value);
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/* Update iterator */
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iter = element->next;
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WriteElement(base, element, etup, ntup, buildstate, maxSize, &buf, &page, index, forkNum);
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/* Zero memory for each element */
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MemSet(etup, 0, HNSW_TUPLE_ALLOC_SIZE);
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for (int lc = element->level; lc >= 0; lc--)
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/* Calculate sizes */
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etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(valuePtr));
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ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(element->level, buildstate->m);
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combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
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/* Initial size check */
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if (etupSize > HNSW_TUPLE_ALLOC_SIZE)
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ereport(ERROR,
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(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
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errmsg("index tuple too large")));
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HnswSetElementTuple(base, etup, element);
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/* Keep element and neighbors on the same page if possible */
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if (PageGetFreeSpace(page) < etupSize || (combinedSize <= maxSize && PageGetFreeSpace(page) < combinedSize))
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HnswBuildAppendPage(index, &buf, &page, forkNum);
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/* Calculate offsets */
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element->blkno = BufferGetBlockNumber(buf);
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element->offno = OffsetNumberNext(PageGetMaxOffsetNumber(page));
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if (combinedSize <= maxSize)
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{
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HnswNeighborArray *neighbors = HnswGetNeighbors(base, element, lc);
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for (int i = 0; i < neighbors->length; i++)
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{
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HnswCandidate *hc = &neighbors->items[i];
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HnswElement hce = HnswPtrAccess(base, hc->element);
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WriteElement(base, hce, etup, ntup, buildstate, maxSize, &buf, &page, index, forkNum);
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}
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element->neighborPage = element->blkno;
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element->neighborOffno = OffsetNumberNext(element->offno);
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}
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else
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{
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element->neighborPage = element->blkno + 1;
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element->neighborOffno = FirstOffsetNumber;
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}
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ItemPointerSet(&etup->neighbortid, element->neighborPage, element->neighborOffno);
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/* Add element */
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if (PageAddItem(page, (Item) etup, etupSize, InvalidOffsetNumber, false, false) != element->offno)
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elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
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/* Add new page if needed */
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if (PageGetFreeSpace(page) < ntupSize)
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HnswBuildAppendPage(index, &buf, &page, forkNum);
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/* Add placeholder for neighbors */
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if (PageAddItem(page, (Item) ntup, ntupSize, InvalidOffsetNumber, false, false) != element->neighborOffno)
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elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
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}
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insertPage = BufferGetBlockNumber(buf);
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@@ -253,7 +253,6 @@ HnswInitElement(char *base, ItemPointer heaptid, int m, double ml, int maxLevel,
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element->deleted = 0;
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/* Start at one to make it easier to find issues */
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element->version = 1;
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element->neighborPage = InvalidBlockNumber;
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HnswInitNeighbors(base, element, m, allocator);
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@@ -143,6 +143,10 @@ ivfflatcostestimate(PlannerInfo *root, IndexPath *path, double loop_count,
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*indexSelectivity = costs.indexSelectivity;
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*indexCorrelation = costs.indexCorrelation;
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*indexPages = costs.numIndexPages;
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elog(INFO, "ivfflatcostestimate = %f", costs.indexTotalCost);
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/* Cost estimates for parallel workers applied outside of amcostestimate */
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elog(INFO, "parallel_workers = %d, parallel aware = %d", path->path.parallel_workers, path->path.parallel_aware);
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}
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/*
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@@ -170,6 +174,25 @@ ivfflatvalidate(Oid opclassoid)
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return true;
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}
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static Size
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ivfflatestimateparallelscan()
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{
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elog(INFO, "ivfflatestimateparallelscan");
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return 0;
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}
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static void
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ivfflatinitparallelscan(void *target)
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{
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elog(INFO, "ivfflatinitparallelscan");
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}
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static void
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ivfflatparallelrescan(IndexScanDesc scan)
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{
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elog(INFO, "ivfflatparallelrescan");
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}
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/*
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* Define index handler
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*
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@@ -200,7 +223,7 @@ ivfflathandler(PG_FUNCTION_ARGS)
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amroutine->amstorage = false;
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amroutine->amclusterable = false;
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amroutine->ampredlocks = false;
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amroutine->amcanparallel = false;
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amroutine->amcanparallel = true;
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#if PG_VERSION_NUM >= 170000
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amroutine->amcanbuildparallel = true;
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#endif
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@@ -242,9 +265,9 @@ ivfflathandler(PG_FUNCTION_ARGS)
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amroutine->amrestrpos = NULL;
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/* Interface functions to support parallel index scans */
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amroutine->amestimateparallelscan = NULL;
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amroutine->aminitparallelscan = NULL;
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amroutine->amparallelrescan = NULL;
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amroutine->amestimateparallelscan = ivfflatestimateparallelscan;
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amroutine->aminitparallelscan = ivfflatinitparallelscan;
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amroutine->amparallelrescan = ivfflatparallelrescan;
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#if PG_VERSION_NUM >= 180000
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amroutine->amtranslatestrategy = NULL;
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@@ -119,6 +119,9 @@ GetScanItems(IndexScanDesc scan, Datum value)
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tuplesort_reset(so->sortstate);
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if (scan->parallel_scan != NULL)
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elog(INFO, "parallel scan");
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/* Search closest probes lists */
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while (so->listIndex < so->maxProbes && (++batchProbes) <= so->probes)
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{
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16
test/sql/ivfflat_parallel.sql
Normal file
16
test/sql/ivfflat_parallel.sql
Normal file
@@ -0,0 +1,16 @@
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-- SET force_parallel_mode = on;
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SET parallel_setup_cost = 10;
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SET parallel_tuple_cost = 0.000001;
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SET min_parallel_table_scan_size = 1;
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SET min_parallel_index_scan_size = 1;
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CREATE TABLE t (id integer, val vector(3));
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ALTER TABLE t ALTER COLUMN val SET STORAGE PLAIN;
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INSERT INTO t (id, val) SELECT n, ARRAY[random(), random(), random()] FROM generate_series(1,1000000) n;
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CREATE INDEX ON t USING ivfflat (val) WITH (lists = 10);
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SET ivfflat.probes = 4;
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EXPLAIN SELECT * FROM t ORDER BY val <-> '[0.5,0.5,0.5]' LIMIT 5;
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SELECT * FROM t ORDER BY val <-> '[0.5,0.5,0.5]' LIMIT 5;
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DROP TABLE t;
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