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hnsw-strea
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@@ -1,5 +1,6 @@
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## 0.8.0 (unreleased)
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- Added support for iterative index scans
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- Added casts for arrays to `sparsevec`
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- Improved cost estimation
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- Improved performance of HNSW inserts and on-disk index builds
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71
README.md
71
README.md
@@ -451,6 +451,77 @@ Use [partitioning](https://www.postgresql.org/docs/current/ddl-partitioning.html
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CREATE TABLE items (embedding vector(3), category_id int) PARTITION BY LIST(category_id);
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```
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## Iterative Search [unreleased]
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*Added in 0.8.0*
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With approximate indexes, you can end up with less results than expected due to filtering conditions in the query.
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Starting with 0.8.0, you can enable iterative search. If too few results from the initial index scan match the query filters, it will resume scanning until enough results are found. This can significantly improve recall (at the cost of speed).
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```tsql
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SET hnsw.streaming = on;
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-- or
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SET ivfflat.streaming = on;
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```
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However, there are some important caveats.
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### Iterative Caveats
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With iterative search, it’s possible for rows to be slightly out of order by distance. For strict ordering, use:
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```sql
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WITH approx_order AS MATERIALIZED (
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SELECT *, embedding <-> '[1,2,3]' AS distance FROM items WHERE ... ORDER BY distance LIMIT 5
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) SELECT * FROM approx_order ORDER BY distance;
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```
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For distance filters, use a CTE and place the filter outside it.
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```sql
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WITH approx_order AS MATERIALIZED (
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SELECT *, embedding <-> '[1,2,3]' AS distance FROM items WHERE ... ORDER BY distance LIMIT 5
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) SELECT * FROM approx_order WHERE distance < 0.1 ORDER BY distance;
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```
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### Iterative Options
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Since scanning a large portion of the index is expensive, there are options to control when the scan ends.
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#### HNSW
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Specify the max number of additional tuples visited
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```sql
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SET hnsw.ef_stream = 10000;
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```
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The scan will also end if reaches `work_mem`. You can see when this happens by enabling debug messages.
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```sql
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SET client_min_messages = debug1;
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```
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```text
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DEBUG: hnsw index scan exceeded work_mem after 10000 tuples
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HINT: Increase work_mem to scan more tuples.
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```
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If the server has enough memory, you can adjust this with:
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```sql
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SET work_mem = '8MB';
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```
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#### IVFFlat
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Specify the max number of probes
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```sql
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SET ivfflat.max_probes = 100;
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```
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## Half-Precision Vectors
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*Added in 0.7.0*
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22
src/hnsw.c
22
src/hnsw.c
@@ -18,7 +18,18 @@
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#define MarkGUCPrefixReserved(x) EmitWarningsOnPlaceholders(x)
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#endif
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static const struct config_enum_entry hnsw_iterative_search_options[] = {
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{"off", HNSW_ITERATIVE_SEARCH_OFF, false},
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{"strict", HNSW_ITERATIVE_SEARCH_STRICT, false},
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{"relaxed", HNSW_ITERATIVE_SEARCH_RELAXED, false},
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/* TODO Change to strict before merging */
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{"on", HNSW_ITERATIVE_SEARCH_RELAXED, false},
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{NULL, 0, false}
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};
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int hnsw_ef_search;
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int hnsw_max_iterative_tuples;
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int hnsw_iterative_search;
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int hnsw_lock_tranche_id;
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static relopt_kind hnsw_relopt_kind;
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@@ -69,6 +80,17 @@ HnswInit(void)
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"Valid range is 1..1000.", &hnsw_ef_search,
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HNSW_DEFAULT_EF_SEARCH, HNSW_MIN_EF_SEARCH, HNSW_MAX_EF_SEARCH, PGC_USERSET, 0, NULL, NULL, NULL);
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/* TODO Change name */
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DefineCustomEnumVariable("hnsw.streaming", "Iterative search mode",
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NULL, &hnsw_iterative_search,
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HNSW_ITERATIVE_SEARCH_OFF, hnsw_iterative_search_options, PGC_USERSET, 0, NULL, NULL, NULL);
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/* TODO Change name */
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/* TODO Ensure ivfflat.max_probes uses same value for "all" */
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DefineCustomIntVariable("hnsw.ef_stream", "Sets the max number of additional candidates to visit for streaming search",
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"-1 means all", &hnsw_max_iterative_tuples,
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HNSW_DEFAULT_EF_STREAM, HNSW_MIN_EF_STREAM, HNSW_MAX_EF_STREAM, PGC_USERSET, 0, NULL, NULL, NULL);
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MarkGUCPrefixReserved("hnsw");
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}
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27
src/hnsw.h
27
src/hnsw.h
@@ -42,6 +42,9 @@
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#define HNSW_DEFAULT_EF_SEARCH 40
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#define HNSW_MIN_EF_SEARCH 1
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#define HNSW_MAX_EF_SEARCH 1000
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#define HNSW_DEFAULT_EF_STREAM -1
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#define HNSW_MIN_EF_STREAM -1
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#define HNSW_MAX_EF_STREAM INT_MAX
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||||
/* Tuple types */
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||||
#define HNSW_ELEMENT_TUPLE_TYPE 1
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||||
@@ -109,8 +112,17 @@
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||||
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||||
/* Variables */
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||||
extern int hnsw_ef_search;
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extern int hnsw_max_iterative_tuples;
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||||
extern int hnsw_iterative_search;
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extern int hnsw_lock_tranche_id;
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typedef enum HnswIterativeSearchType
|
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{
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HNSW_ITERATIVE_SEARCH_OFF,
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HNSW_ITERATIVE_SEARCH_STRICT,
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HNSW_ITERATIVE_SEARCH_RELAXED
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} HnswIterativeSearchType;
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typedef struct HnswElementData HnswElementData;
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typedef struct HnswNeighborArray HnswNeighborArray;
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@@ -132,6 +144,7 @@ struct HnswElementData
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uint8 heaptidsLength;
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uint8 level;
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uint8 deleted;
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uint8 version;
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uint32 hash;
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HnswNeighborsPtr neighbors;
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BlockNumber blkno;
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@@ -319,10 +332,10 @@ typedef struct HnswElementTupleData
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uint8 type;
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uint8 level;
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uint8 deleted;
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uint8 unused;
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uint8 version;
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ItemPointerData heaptids[HNSW_HEAPTIDS];
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ItemPointerData neighbortid;
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uint16 unused2;
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uint16 unused;
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Vector data;
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} HnswElementTupleData;
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@@ -331,7 +344,7 @@ typedef HnswElementTupleData * HnswElementTuple;
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typedef struct HnswNeighborTupleData
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{
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uint8 type;
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uint8 unused;
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uint8 version;
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uint16 count;
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ItemPointerData indextids[FLEXIBLE_ARRAY_MEMBER];
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} HnswNeighborTupleData;
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@@ -356,6 +369,12 @@ typedef struct HnswScanOpaqueData
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const HnswTypeInfo *typeInfo;
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bool first;
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List *w;
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visited_hash v;
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pairingheap *discarded;
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HnswQuery q;
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int m;
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int64 tuples;
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double previousDistance;
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MemoryContext tmpCtx;
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/* Support functions */
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@@ -399,7 +418,7 @@ bool HnswCheckNorm(HnswSupport * support, Datum value);
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Buffer HnswNewBuffer(Relation index, ForkNumber forkNum);
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void HnswInitPage(Buffer buf, Page page);
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void HnswInit(void);
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List *HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement);
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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);
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HnswElement HnswGetEntryPoint(Relation index);
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void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
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void *HnswAlloc(HnswAllocator * allocator, Size size);
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@@ -36,7 +36,7 @@ GetInsertPage(Relation index)
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* Check for a free offset
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*/
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static bool
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HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size etupSize, Size ntupSize, Buffer *nbuf, Page *npage, OffsetNumber *freeOffno, OffsetNumber *freeNeighborOffno, BlockNumber *newInsertPage)
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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)
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{
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||||
OffsetNumber offno;
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OffsetNumber maxoffno = PageGetMaxOffsetNumber(page);
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||||
@@ -98,6 +98,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
|
||||
{
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*freeOffno = offno;
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*freeNeighborOffno = neighborOffno;
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*tupleVersion = etup->version;
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return true;
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}
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else if (*nbuf != buf)
|
||||
@@ -153,6 +154,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
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OffsetNumber freeOffno = InvalidOffsetNumber;
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OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
|
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BlockNumber newInsertPage = InvalidBlockNumber;
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uint8 tupleVersion;
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char *base = NULL;
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|
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/* Calculate sizes */
|
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@@ -202,7 +204,7 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
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}
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/* Next, try space from a deleted element */
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if (HnswFreeOffset(index, buf, page, e, etupSize, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage))
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if (HnswFreeOffset(index, buf, page, e, etupSize, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage, &tupleVersion))
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{
|
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if (nbuf != buf)
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{
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||||
@@ -212,6 +214,10 @@ AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, B
|
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npage = GenericXLogRegisterBuffer(state, nbuf, 0);
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}
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|
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/* Set tuple version */
|
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etup->version = tupleVersion;
|
||||
ntup->version = tupleVersion;
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||||
|
||||
break;
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||||
}
|
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|
||||
|
||||
139
src/hnswscan.c
139
src/hnswscan.c
@@ -5,6 +5,7 @@
|
||||
#include "pgstat.h"
|
||||
#include "storage/bufmgr.h"
|
||||
#include "storage/lmgr.h"
|
||||
#include "utils/float.h"
|
||||
#include "utils/memutils.h"
|
||||
|
||||
/*
|
||||
@@ -21,25 +22,57 @@ GetScanItems(IndexScanDesc scan, Datum value)
|
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int m;
|
||||
HnswElement entryPoint;
|
||||
char *base = NULL;
|
||||
HnswQuery q;
|
||||
|
||||
q.value = value;
|
||||
HnswQuery *q = &so->q;
|
||||
|
||||
/* Get m and entry point */
|
||||
HnswGetMetaPageInfo(index, &m, &entryPoint);
|
||||
|
||||
q->value = value;
|
||||
so->m = m;
|
||||
|
||||
if (entryPoint == NULL)
|
||||
return NIL;
|
||||
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, &q, index, support, false));
|
||||
ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, support, false));
|
||||
|
||||
for (int lc = entryPoint->level; lc >= 1; lc--)
|
||||
{
|
||||
w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, false, NULL);
|
||||
w = HnswSearchLayer(base, q, ep, 1, lc, index, support, m, false, NULL, NULL, NULL, true, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
return HnswSearchLayer(base, &q, ep, hnsw_ef_search, 0, index, support, m, false, NULL);
|
||||
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);
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -83,6 +116,8 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
|
||||
so = (HnswScanOpaque) palloc(sizeof(HnswScanOpaqueData));
|
||||
so->typeInfo = HnswGetTypeInfo(index);
|
||||
so->first = true;
|
||||
so->v.tids = NULL;
|
||||
so->discarded = NULL;
|
||||
so->tmpCtx = AllocSetContextCreate(CurrentMemoryContext,
|
||||
"Hnsw scan temporary context",
|
||||
ALLOCSET_DEFAULT_SIZES);
|
||||
@@ -103,7 +138,15 @@ hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int no
|
||||
{
|
||||
HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
|
||||
|
||||
if (so->v.tids != NULL)
|
||||
tidhash_reset(so->v.tids);
|
||||
|
||||
if (so->discarded != NULL)
|
||||
pairingheap_reset(so->discarded);
|
||||
|
||||
so->first = true;
|
||||
so->tuples = 0;
|
||||
so->previousDistance = -get_float8_infinity();
|
||||
MemoryContextReset(so->tmpCtx);
|
||||
|
||||
if (keys && scan->numberOfKeys > 0)
|
||||
@@ -165,22 +208,100 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
|
||||
#endif
|
||||
}
|
||||
|
||||
while (list_length(so->w) > 0)
|
||||
for (;;)
|
||||
{
|
||||
char *base = NULL;
|
||||
HnswSearchCandidate *sc = llast(so->w);
|
||||
HnswElement element = HnswPtrAccess(base, sc->element);
|
||||
HnswSearchCandidate *sc;
|
||||
HnswElement element;
|
||||
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 additional tuples */
|
||||
if (hnsw_max_iterative_tuples != -1 && so->tuples >= hnsw_ef_search + hnsw_max_iterative_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)
|
||||
elog(INFO, "memory: %zu KB", MemoryContextMemAllocated(so->tmpCtx, false) / 1024);
|
||||
#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 */
|
||||
if (element->heaptidsLength == 0)
|
||||
{
|
||||
so->w = list_delete_last(so->w);
|
||||
|
||||
/* Mark memory as free for next iteration */
|
||||
if (hnsw_iterative_search != HNSW_ITERATIVE_SEARCH_OFF)
|
||||
{
|
||||
pfree(element);
|
||||
pfree(sc);
|
||||
}
|
||||
|
||||
continue;
|
||||
}
|
||||
|
||||
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);
|
||||
|
||||
scan->xs_heaptid = *heaptid;
|
||||
|
||||
@@ -251,6 +251,8 @@ HnswInitElement(char *base, ItemPointer heaptid, int m, double ml, int maxLevel,
|
||||
|
||||
element->level = level;
|
||||
element->deleted = 0;
|
||||
/* Start at one to make it easier to find issues */
|
||||
element->version = 1;
|
||||
|
||||
HnswInitNeighbors(base, element, m, allocator);
|
||||
|
||||
@@ -430,6 +432,7 @@ HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element)
|
||||
etup->type = HNSW_ELEMENT_TUPLE_TYPE;
|
||||
etup->level = element->level;
|
||||
etup->deleted = 0;
|
||||
etup->version = element->version;
|
||||
for (int i = 0; i < HNSW_HEAPTIDS; i++)
|
||||
{
|
||||
if (i < element->heaptidsLength)
|
||||
@@ -472,6 +475,7 @@ HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m)
|
||||
}
|
||||
|
||||
ntup->count = idx;
|
||||
ntup->version = e->version;
|
||||
}
|
||||
|
||||
/*
|
||||
@@ -482,6 +486,7 @@ HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHe
|
||||
{
|
||||
element->level = etup->level;
|
||||
element->deleted = etup->deleted;
|
||||
element->version = etup->version;
|
||||
element->neighborPage = ItemPointerGetBlockNumber(&etup->neighbortid);
|
||||
element->neighborOffno = ItemPointerGetOffsetNumber(&etup->neighbortid);
|
||||
element->heaptidsLength = 0;
|
||||
@@ -608,6 +613,21 @@ CompareNearestCandidates(const pairingheap_node *a, const pairingheap_node *b, v
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare discarded candidate distances
|
||||
*/
|
||||
static int
|
||||
CompareNearestDiscardedCandidates(const pairingheap_node *a, const pairingheap_node *b, void *arg)
|
||||
{
|
||||
if (HnswGetSearchCandidateConst(w_node, a)->distance < HnswGetSearchCandidateConst(w_node, b)->distance)
|
||||
return 1;
|
||||
|
||||
if (HnswGetSearchCandidateConst(w_node, a)->distance > HnswGetSearchCandidateConst(w_node, b)->distance)
|
||||
return -1;
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
/*
|
||||
* Compare candidate distances
|
||||
*/
|
||||
@@ -728,8 +748,11 @@ HnswLoadNeighborTids(HnswElement element, ItemPointerData *indextids, Relation i
|
||||
|
||||
ntup = (HnswNeighborTuple) PageGetItem(page, PageGetItemId(page, element->neighborOffno));
|
||||
|
||||
/* Ensure expected neighbors */
|
||||
if (ntup->count != (element->level + 2) * m)
|
||||
/*
|
||||
* 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;
|
||||
@@ -775,13 +798,13 @@ HnswLoadUnvisitedFromDisk(HnswElement element, HnswUnvisited * unvisited, int *u
|
||||
* Algorithm 2 from paper
|
||||
*/
|
||||
List *
|
||||
HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement)
|
||||
HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation index, HnswSupport * support, int m, bool inserting, HnswElement skipElement, visited_hash * v, pairingheap **discarded, bool initVisited, int64 *tuples)
|
||||
{
|
||||
List *w = NIL;
|
||||
pairingheap *C = pairingheap_allocate(CompareNearestCandidates, NULL);
|
||||
pairingheap *W = pairingheap_allocate(CompareFurthestCandidates, NULL);
|
||||
int wlen = 0;
|
||||
visited_hash v;
|
||||
visited_hash vh;
|
||||
ListCell *lc2;
|
||||
HnswNeighborArray *localNeighborhood = NULL;
|
||||
Size neighborhoodSize = 0;
|
||||
@@ -790,7 +813,19 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
int unvisitedLength;
|
||||
bool inMemory = index == NULL;
|
||||
|
||||
InitVisited(base, &v, inMemory, 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 */
|
||||
if (inMemory)
|
||||
@@ -805,7 +840,13 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
HnswSearchCandidate *sc = (HnswSearchCandidate *) lfirst(lc2);
|
||||
bool found;
|
||||
|
||||
AddToVisited(base, &v, sc->element, inMemory, &found);
|
||||
if (initVisited)
|
||||
{
|
||||
AddToVisited(base, v, sc->element, inMemory, &found);
|
||||
|
||||
if (tuples != NULL)
|
||||
(*tuples)++;
|
||||
}
|
||||
|
||||
pairingheap_add(C, &sc->c_node);
|
||||
pairingheap_add(W, &sc->w_node);
|
||||
@@ -831,9 +872,12 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
cElement = HnswPtrAccess(base, c->element);
|
||||
|
||||
if (inMemory)
|
||||
HnswLoadUnvisitedFromMemory(base, cElement, unvisited, &unvisitedLength, &v, lc, localNeighborhood, neighborhoodSize);
|
||||
HnswLoadUnvisitedFromMemory(base, cElement, unvisited, &unvisitedLength, v, lc, localNeighborhood, neighborhoodSize);
|
||||
else
|
||||
HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, &v, index, m, lm, lc);
|
||||
HnswLoadUnvisitedFromDisk(cElement, unvisited, &unvisitedLength, v, index, m, lm, lc);
|
||||
|
||||
if (tuples != NULL)
|
||||
(*tuples) += unvisitedLength;
|
||||
|
||||
for (int i = 0; i < unvisitedLength; i++)
|
||||
{
|
||||
@@ -857,16 +901,25 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
|
||||
/* Avoid any allocations if not adding */
|
||||
eElement = NULL;
|
||||
HnswLoadElementImpl(blkno, offno, &eDistance, q, index, support, inserting, alwaysAdd ? NULL : &f->distance, &eElement);
|
||||
HnswLoadElementImpl(blkno, offno, &eDistance, q, index, support, inserting, alwaysAdd || discarded != NULL ? NULL : &f->distance, &eElement);
|
||||
|
||||
if (eElement == NULL)
|
||||
continue;
|
||||
}
|
||||
|
||||
if (!(eDistance < f->distance || alwaysAdd))
|
||||
continue;
|
||||
if (eElement == NULL || !(eDistance < f->distance || alwaysAdd))
|
||||
{
|
||||
if (discarded != NULL)
|
||||
{
|
||||
/* Create a new candidate */
|
||||
e = palloc(sizeof(HnswSearchCandidate));
|
||||
HnswPtrStore(base, e->element, eElement);
|
||||
e->distance = eDistance;
|
||||
pairingheap_add(*discarded, &e->w_node);
|
||||
}
|
||||
|
||||
Assert(!eElement->deleted);
|
||||
continue;
|
||||
}
|
||||
|
||||
/* Make robust to issues */
|
||||
if (eElement->level < lc)
|
||||
@@ -890,7 +943,12 @@ HnswSearchLayer(char *base, HnswQuery * q, List *ep, int ef, int lc, Relation in
|
||||
|
||||
/* No need to decrement wlen */
|
||||
if (wlen > ef)
|
||||
pairingheap_remove_first(W);
|
||||
{
|
||||
HnswSearchCandidate *d = HnswGetSearchCandidate(w_node, pairingheap_remove_first(W));
|
||||
|
||||
if (discarded != NULL)
|
||||
pairingheap_add(*discarded, &d->w_node);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1225,7 +1283,7 @@ 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);
|
||||
w = HnswSearchLayer(base, &q, ep, 1, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
|
||||
ep = w;
|
||||
}
|
||||
|
||||
@@ -1244,7 +1302,7 @@ HnswFindElementNeighbors(char *base, HnswElement element, HnswElement entryPoint
|
||||
List *lw = NIL;
|
||||
ListCell *lc2;
|
||||
|
||||
w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement);
|
||||
w = HnswSearchLayer(base, &q, ep, efConstruction, lc, index, support, m, true, skipElement, NULL, NULL, true, NULL);
|
||||
|
||||
/* Convert search candidates to candidates */
|
||||
foreach(lc2, w)
|
||||
|
||||
@@ -527,6 +527,14 @@ MarkDeleted(HnswVacuumState * vacuumstate)
|
||||
for (int i = 0; i < ntup->count; i++)
|
||||
ItemPointerSetInvalid(&ntup->indextids[i]);
|
||||
|
||||
/* Increment version */
|
||||
/* This is used to avoid incorrect reads for iterative scans */
|
||||
/* Reserve some bits for future use */
|
||||
etup->version++;
|
||||
if (etup->version > 15)
|
||||
etup->version = 1;
|
||||
ntup->version = etup->version;
|
||||
|
||||
/*
|
||||
* We modified the tuples in place, no need to call
|
||||
* PageIndexTupleOverwrite
|
||||
|
||||
67
test/t/041_hnsw_streaming.pl
Normal file
67
test/t/041_hnsw_streaming.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 = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.streaming = on;
|
||||
SET work_mem = '8MB';
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||
));
|
||||
is($count, 10);
|
||||
|
||||
foreach ((30000, 50000, 70000))
|
||||
{
|
||||
my $ef_stream = $_;
|
||||
my $expected = $ef_stream / 10000;
|
||||
my $sum = 0;
|
||||
|
||||
for my $i (1 .. 20)
|
||||
{
|
||||
$count = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.streaming = on;
|
||||
SET hnsw.ef_stream = $ef_stream;
|
||||
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) = $node->psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.streaming = on;
|
||||
SET client_min_messages = debug1;
|
||||
SET work_mem = '2MB';
|
||||
SELECT COUNT(*) FROM (SELECT v FROM tst WHERE i % 10000 = 0 ORDER BY v <-> (SELECT v FROM tst LIMIT 1) LIMIT 11) t;
|
||||
));
|
||||
like($stderr, qr/hnsw index scan exceeded work_mem after \d+ tuples/);
|
||||
|
||||
done_testing();
|
||||
131
test/t/042_hnsw_streaming_recall.pl
Normal file
131
test/t/042_hnsw_streaming_recall.pl
Normal file
@@ -0,0 +1,131 @@
|
||||
use strict;
|
||||
use warnings FATAL => 'all';
|
||||
use PostgreSQL::Test::Cluster;
|
||||
use PostgreSQL::Test::Utils;
|
||||
use Test::More;
|
||||
|
||||
my $node;
|
||||
my @queries = ();
|
||||
my @expected;
|
||||
my $limit = 20;
|
||||
my $dim = 3;
|
||||
my $array_sql = join(",", ('random()') x $dim);
|
||||
my @cs = (100, 1000);
|
||||
|
||||
sub test_recall
|
||||
{
|
||||
my ($c, $ef_search, $min, $operator) = @_;
|
||||
my $correct = 0;
|
||||
my $total = 0;
|
||||
|
||||
my $explain = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = $ef_search;
|
||||
SET hnsw.streaming = on;
|
||||
EXPLAIN ANALYZE SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[0]' LIMIT $limit;
|
||||
));
|
||||
like($explain, qr/Index Scan using idx on tst/);
|
||||
|
||||
for my $i (0 .. $#queries)
|
||||
{
|
||||
my $actual = $node->safe_psql("postgres", qq(
|
||||
SET enable_seqscan = off;
|
||||
SET hnsw.ef_search = $ef_search;
|
||||
SET hnsw.streaming = on;
|
||||
SELECT i FROM tst WHERE i % $c = 0 ORDER BY v $operator '$queries[$i]' LIMIT $limit;
|
||||
));
|
||||
my @actual_ids = split("\n", $actual);
|
||||
|
||||
my @expected_ids = split("\n", $expected[$i]);
|
||||
my %expected_set = map { $_ => 1 } @expected_ids;
|
||||
|
||||
foreach (@actual_ids)
|
||||
{
|
||||
if (exists($expected_set{$_}))
|
||||
{
|
||||
$correct++;
|
||||
}
|
||||
}
|
||||
|
||||
$total += $limit;
|
||||
}
|
||||
|
||||
cmp_ok($correct / $total, ">=", $min, $operator);
|
||||
}
|
||||
|
||||
# Initialize node
|
||||
$node = PostgreSQL::Test::Cluster->new('node');
|
||||
$node->init;
|
||||
$node->start;
|
||||
|
||||
# Create table
|
||||
$node->safe_psql("postgres", "CREATE EXTENSION vector;");
|
||||
$node->safe_psql("postgres", "CREATE TABLE tst (i int4, v vector($dim));");
|
||||
$node->safe_psql("postgres",
|
||||
"INSERT INTO tst SELECT i, ARRAY[$array_sql] FROM generate_series(1, 100000) i;"
|
||||
);
|
||||
|
||||
# Generate queries
|
||||
for (1 .. 20)
|
||||
{
|
||||
my @r = ();
|
||||
for (1 .. $dim)
|
||||
{
|
||||
push(@r, rand());
|
||||
}
|
||||
push(@queries, "[" . join(",", @r) . "]");
|
||||
}
|
||||
|
||||
# Check each index type
|
||||
my @operators = ("<->", "<=>");
|
||||
my @opclasses = ("vector_l2_ops", "vector_cosine_ops");
|
||||
|
||||
for my $i (0 .. $#operators)
|
||||
{
|
||||
my $operator = $operators[$i];
|
||||
my $opclass = $opclasses[$i];
|
||||
|
||||
$node->safe_psql("postgres", qq(
|
||||
SET maintenance_work_mem = '128MB';
|
||||
CREATE INDEX idx ON tst USING hnsw (v $opclass);
|
||||
));
|
||||
|
||||
foreach (@cs)
|
||||
{
|
||||
my $c = $_;
|
||||
|
||||
# Get exact results
|
||||
@expected = ();
|
||||
foreach (@queries)
|
||||
{
|
||||
my $res = $node->safe_psql("postgres", qq(
|
||||
SET enable_indexscan = off;
|
||||
WITH top AS (
|
||||
SELECT v $operator '$_' AS distance FROM tst WHERE i % $c = 0 ORDER BY distance LIMIT $limit
|
||||
)
|
||||
SELECT i FROM tst WHERE (v $operator '$_') <= (SELECT MAX(distance) FROM top)
|
||||
));
|
||||
push(@expected, $res);
|
||||
}
|
||||
|
||||
if ($c == 100)
|
||||
{
|
||||
test_recall($c, 40, 0.99, $operator);
|
||||
}
|
||||
else
|
||||
{
|
||||
if ($operator eq "<->")
|
||||
{
|
||||
test_recall($c, 40, 0.99, $operator);
|
||||
}
|
||||
else
|
||||
{
|
||||
test_recall($c, 40, 0.99, $operator);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
$node->safe_psql("postgres", "DROP INDEX idx;");
|
||||
}
|
||||
|
||||
done_testing();
|
||||
Reference in New Issue
Block a user