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173 Commits

Author SHA1 Message Date
Andrew Kane
13d3bae99b Less space [skip ci] 2024-01-22 18:43:26 -08:00
Andrew Kane
3b9c4c55ee Use consistent order [skip ci] 2024-01-22 18:39:52 -08:00
Andrew Kane
06e2052e40 Added InitVisited [skip ci] 2024-01-22 18:37:37 -08:00
Andrew Kane
891072df68 Added base [skip ci] 2024-01-22 18:02:24 -08:00
Andrew Kane
e9a96d341f Removed prefix for static functions 2024-01-22 17:58:42 -08:00
Andrew Kane
a45ca414f4 Keep logic consistent with insert [skip ci] 2024-01-22 17:43:04 -08:00
Andrew Kane
b4f3cc3e13 Moved outside loop [skip ci] 2024-01-22 17:26:26 -08:00
Andrew Kane
c01cf8a315 Renamed ApplyChanges to UpdateGraph [skip ci] 2024-01-22 17:02:02 -08:00
Andrew Kane
3ecb9a3cb2 Renamed HnswInsertElement to HnswFindElementNeighbors [skip ci] 2024-01-22 16:59:08 -08:00
Andrew Kane
a069e18fe4 Improved function names [skip ci] 2024-01-22 16:48:50 -08:00
Andrew Kane
5174a23094 Updated comment [skip ci] 2024-01-22 16:45:42 -08:00
Andrew Kane
16d7de79f6 Improved function names [skip ci] 2024-01-22 16:43:50 -08:00
Andrew Kane
e54ec4d637 Improved code [skip ci] 2024-01-22 16:37:32 -08:00
Andrew Kane
cc641002d3 Updated comments [skip ci] 2024-01-22 10:59:46 -08:00
Heikki Linnakangas
2f9b1e2893 xAdd overview comment on how HNSW build works (#419)
And rewrite some of the comments in InsertTuple(), to also give more
of a high-level overview of the flow.
2024-01-22 10:50:12 -08:00
Andrew Kane
a3e4fbf6aa Use shared lock for copying neighbors to local memory 2024-01-19 13:44:25 -08:00
Andrew Kane
09a4ec29a0 Added InsertTupleInMemory 2024-01-19 01:27:45 -08:00
Heikki Linnakangas
ca3b4cd029 Remove HnswSpool
It was just used to pass heap/index relations to
HnswParallelScanAndInsert. I think it was copied from nbtsort.c, which
is more complicated. I don't think we need a struct like this.

(That said, I actually think that we should have a state object that
would hold fields like 'heap', 'index', 'procinfo', 'collation'
etc. Passing that object around would simplify the signatures of many
functions. But that's a different story).
2024-01-19 00:26:47 -08:00
Heikki Linnakangas
d96e486274 Remove unused 'scantuplesortstates' field 2024-01-19 00:26:47 -08:00
Heikki Linnakangas
88213186a5 Remove unused argument 2024-01-19 00:26:47 -08:00
Andrew Kane
7dd9534894 Use same locking as insert 2024-01-19 00:18:29 -08:00
Andrew Kane
d801a843f4 Removed HnswPtrSetNull to avoid setting relptr_off directly 2024-01-16 17:08:13 -08:00
Andrew Kane
1458c7bb2a Improved code [skip ci] 2024-01-16 14:03:28 -08:00
Andrew Kane
cad48d9203 Improved locking 2024-01-16 13:34:55 -08:00
Heikki Linnakangas
719b4b7436 Use LWLocks instead of SpinLocks (#410)
Spinlocks should be held only for a few instructions, for multiple
reasons:

- You have to be very careful not to elog() out while holding a
  spinlock, because there is no mechanism to release the spinlock on
  error.

- Waiters can waste a lot of cycles spinning if the lock is
  contended. I you wait on a spinlock for too long, the PostgreSQL
  implementation will actually PANIC, see s_lock_stuck().

The flushLock is particularly problematic. It is held in exclusive
mode, which means it holds a spinlock, over the call to
FlushPages(). FlushPages() performs lots of I/O so it can take a very
long time (>= minutes), and can also easily error out for various
reasons.

allocatorLock would perhaps be OK as a spinlocks, but even that feels
a bit heavy, so I converted that to an LWLock, too.

entryLock is usually held for a very short time, in shared mode, so
that would be fine as a spinlock. However, in the rare case that the
entry point is updated, it's held for a very long time. An LWLock used
in shared mode is about as fast a spinlock, that path is pretty
heavily optimized.

I think we have some problems with the per-element spinlocks too. In
HnswUpdateNeighborPagesInMemory(), it's held over a call to
HnswUpdateConnection(), but HnswUpdateConnection() can error out at
least in case of an out-of-memory error (it uses lappend(), which
calls palloc()). It also calls the distance function, and I don't
think they are guaranteed to be ereport-free either. However, I didn't
address that in this PR, it needs a bit more thinking.
2024-01-16 13:25:03 -08:00
Andrew Kane
fa0acbf62d Fixed CI 2024-01-15 19:55:46 -08:00
Andrew Kane
1612b84069 Fixed error on Windows [skip ci] 2024-01-15 19:33:16 -08:00
Andrew Kane
2f9371516d Leave space for other objects in shared memory 2024-01-15 19:17:50 -08:00
Andrew Kane
9d3e4e74df Added support for in-memory parallel index builds for HNSW 2024-01-15 15:07:31 -08:00
Andrew Kane
0ce497a1b1 Updated Homebrew note [skip ci] 2024-01-15 12:12:04 -08:00
Andrew Kane
c7d60346d8 Improved macro [skip ci] 2024-01-13 20:02:41 -08:00
Andrew Kane
597bfdc76b Added HnswGetNeighbors macro 2024-01-13 20:00:34 -08:00
Andrew Kane
cbf3eb4fa5 Improved HNSW build and insert code 2024-01-13 10:07:42 -08:00
Andrew Kane
cacd389f6d Improved pattern for duplicates 2024-01-12 14:30:13 -08:00
Andrew Kane
423cc2b06c Homebrew now adds to postgresql@15 as well [skip ci] 2024-01-11 16:45:50 -08:00
Andrew Kane
85c4ef6a14 Updated Postgres versions in readme [skip ci] 2024-01-11 12:36:24 -08:00
Andrew Kane
c6160a783a Homebrew now adds to postgresql@16 [skip ci] 2024-01-11 12:32:14 -08:00
Andrew Kane
1881b857f9 Simplified code 2024-01-09 18:53:31 -08:00
Andrew Kane
51bde5fb22 Updated readme [skip ci] 2024-01-09 14:38:25 -08:00
Andrew Kane
10e65ce349 Added note about maintenance_work_mem [skip ci] 2024-01-09 14:31:54 -08:00
Andrew Kane
61279f5a59 Updated readme [skip ci] 2024-01-09 14:26:55 -08:00
Andrew Kane
72b3889e26 Updated readme [skip ci] 2024-01-09 14:22:19 -08:00
Andrew Kane
bb21b2decf Updated readme [skip ci] 2024-01-09 14:19:01 -08:00
Andrew Kane
8a65c0e831 Moved section [skip ci] 2024-01-09 13:33:03 -08:00
Andrew Kane
7d75d423e4 Added section on index build time [skip ci] 2024-01-09 13:27:27 -08:00
Andrew Kane
6cad1f5de0 Updated example [skip ci] 2024-01-09 13:04:47 -08:00
Andrew Kane
67eeade63c Moved HNSW first in readme [skip ci] 2024-01-09 13:04:18 -08:00
Andrew Kane
108fb09d7b Improved code [skip ci] 2024-01-08 17:54:49 -08:00
Andrew Kane
65d060ac86 Reverted FlushPages pattern for parallel builds 2024-01-08 10:45:31 -08:00
Andrew Kane
62ee33bb92 Improved locking code 2024-01-08 09:05:12 -08:00
Andrew Kane
520e274dde Improved locking code 2024-01-07 22:34:41 -08:00
Andrew Kane
9e680884bd Moved indtuples to HnswGraph 2024-01-07 22:23:49 -08:00
Andrew Kane
19a0e1b341 Moved graph to separate struct 2024-01-07 20:15:30 -08:00
Andrew Kane
c7fe1571ee Improved code 2024-01-07 18:30:51 -08:00
Andrew Kane
cb4c770df2 Switched to slist for elements to reduce allocations and remove limit 2024-01-07 18:26:19 -08:00
Andrew Kane
85fdecd79b Moved FlushPages before HnswEndParallel 2024-01-07 17:50:46 -08:00
Andrew Kane
6132428914 Improved number of parallel workers for HNSW index builds - closes #397 2024-01-05 19:46:08 -08:00
Andrew Kane
81d13bd40f Improved code [skip ci] 2024-01-03 13:53:23 -05:00
Andrew Kane
8ee37b60a0 Improved memory estimate for HNSW index builds 2024-01-03 13:47:50 -05:00
Andrew Kane
9b73b3d1a6 Reduced memory and allocations for heap TIDs - closes #385 2024-01-03 13:41:34 -05:00
Andrew Kane
cae630784b Improved BuildCallback [skip ci] 2023-12-30 20:55:29 -05:00
Andrew Kane
d87bcd2deb Added comments [skip ci] 2023-12-30 18:29:01 -05:00
Andrew Kane
736576220a Improved BuildCallback 2023-12-30 18:24:03 -05:00
Andrew Kane
a508b120c1 Added IVFFLAT_MEMORY flag to show memory usage [skip ci] 2023-12-24 09:27:09 -05:00
Andrew Kane
9a782d29f8 Use consistent style [skip ci] 2023-12-22 16:41:25 -05:00
Andrew Kane
1e422cd62b Improved readability [skip ci] 2023-12-22 16:39:13 -05:00
Andrew Kane
569c69580a Improved InsertTuple code - #384
Co-authored-by: Heikki Linnakangas <heikki.linnakangas@iki.fi>
2023-12-22 15:08:28 -05:00
Andrew Kane
59509c3a17 Added extra 5% to memory estimate 2023-12-22 14:04:05 -05:00
Andrew Kane
61738846af Updated comment [skip ci] 2023-12-22 14:03:33 -05:00
Andrew Kane
e8c3bf0cef Improved memory tracking for HNSW index builds - #384 2023-12-22 13:35:43 -05:00
Andrew Kane
50d1aed3d8 Improved memory usage logging [skip ci] 2023-12-22 13:09:11 -05:00
Andrew Kane
66e14d2434 Updated indentation [skip ci] 2023-12-22 12:59:50 -05:00
Andrew Kane
42cd4c6833 Fixed call to GenerationContextCreate for Postgres < 15 2023-12-22 12:49:07 -05:00
Andrew Kane
dcbe0b6f0d Reduced memory usage for HNSW index builds - #384
Co-authored-by: Heikki Linnakangas <heikki.linnakangas@iki.fi>
2023-12-22 12:41:47 -05:00
Andrew Kane
f61d4087b5 Slightly improved memory estimation [skip ci] 2023-12-21 10:31:36 -05:00
Andrew Kane
57554e5b46 Added todo [skip ci] 2023-12-20 17:52:31 -05:00
Andrew Kane
6738fa0bd7 Added HNSW_MEMORY flag to show memory usage - #384 [skip ci] 2023-12-20 16:49:16 -05:00
Andrew Kane
9ab10aa674 Fixed CI 2023-12-20 16:29:13 -05:00
Andrew Kane
ec41dfa1d7 Mark meta buffer contents as dirty when not logging 2023-12-20 16:20:15 -05:00
Andrew Kane
43e0b3d9d4 Mark buffer contents as dirty when not logging 2023-12-20 16:16:25 -05:00
Andrew Kane
2bff7ccaa2 Improved memory estimation - #384 [skip ci] 2023-12-20 11:10:27 -05:00
Andrew Kane
e88a425c9b Reduced WAL generation for HNSW index builds - thanks @hlinnaka 2023-12-19 20:37:32 -05:00
Andrew Kane
921427ee03 Replace dynahash hash table in HNSW with simplehash for speed - #378
Co-authored-by: Heikki Linnakangas <heikki.linnakangas@iki.fi>
2023-12-17 11:24:13 -05:00
Andrew Kane
a59aa02dd9 Only show message if flushed due to memory [skip ci] 2023-12-04 15:29:23 -08:00
Andrew Kane
2fef497b7e Fixed check 2023-12-04 15:22:12 -08:00
Andrew Kane
0e19a984fb Updated changelog [skip ci] 2023-12-04 15:15:20 -08:00
Andrew Kane
a156f6c7ae Fixed invalid memory alloc request size error with HNSW - fixes #43 2023-12-04 15:00:32 -08:00
Andrew Kane
c653ac524f Simplified code [skip ci] 2023-12-04 12:19:38 -08:00
Andrew Kane
bf0d56e78e Updated comment [skip ci] 2023-12-03 13:09:57 -08:00
Andrew Kane
4d6739a7af Added Lisp to readme [skip ci] 2023-12-03 10:58:54 -08:00
Andrew Kane
ff744214d0 Added Visual Basic to readme [skip ci] 2023-12-03 00:25:07 -08:00
Andrew Kane
7ca9298163 Updated badge [skip ci] 2023-12-01 15:36:49 -08:00
Andrew Kane
ff3bffd9a8 Moved FAQ [skip ci] 2023-11-29 22:09:09 -08:00
Andrew Kane
014753eb9c Added FAQ about memory [skip ci] 2023-11-29 22:02:27 -08:00
Andrew Kane
6763661d3d Added OCaml to readme [skip ci] 2023-11-28 21:42:30 -08:00
Andrew Kane
d287921d15 Added F# to readme [skip ci] 2023-11-28 01:22:12 -08:00
Andrew Kane
5b12ae8225 Added note about ef_construction [skip ci] 2023-11-16 18:53:48 -08:00
Japin Li
4549e8aeb1 Fix coredump about HnswFreeElement() (#357)
The HnswInitElement() allocate an element with not initialize value
filed, which may has garbage that lead HnswFreeElement() free an
invalid pointer.
2023-11-15 16:19:59 -08:00
Andrew Kane
3263b350f5 Updated HnswLoadElementFromTuple to be less vector-specific 2023-11-11 21:14:12 -08:00
Andrew Kane
dfee5d4045 Added support for on-disk parallel index builds for HNSW 2023-11-11 19:29:45 -08:00
Andrew Kane
69a2ce0d43 Use datumIsEqual to compare 2023-11-10 10:46:48 -08:00
Andrew Kane
c5e8c46b80 Switched from VECTOR_SIZE to VARSIZE_ANY [skip ci] 2023-11-09 19:41:38 -08:00
Andrew Kane
94f7304ccd Keep vector for now to be overly cautious about packing [skip ci] 2023-11-09 18:43:55 -08:00
Andrew Kane
d078db3d25 Switched HnswElementTuple to generic data and zero full section 2023-11-09 18:28:25 -08:00
Andrew Kane
fbb904ae2f Use pointer for VARSIZE_ANY 2023-11-09 17:50:28 -08:00
Andrew Kane
3cf6f62900 Switched to datum for HnswElement 2023-11-09 17:35:39 -08:00
Andrew Kane
2a69e22ca4 Switched from VECTOR_SIZE to VARSIZE_ANY where possible (less vector-specific) 2023-11-09 17:16:43 -08:00
Andrew Kane
84e073888c Removed vector-specific code from HNSW_ELEMENT_TUPLE_SIZE [skip ci] 2023-11-09 16:57:01 -08:00
Andrew Kane
81a62d55d1 Switched from HNSW_ELEMENT_TUPLE_SIZE to ItemIdGetLength where possible (less vector-specific) 2023-11-09 16:32:00 -08:00
Andrew Kane
3f3463bde5 Improved memory calculation for HNSW and removed vector-specific code 2023-11-09 16:21:26 -08:00
Andrew Kane
a01a72d812 Updated comment [skip ci] 2023-11-05 08:42:06 -08:00
Andrew Kane
0c2fc18a80 Updated comment [skip ci] 2023-11-05 08:40:21 -08:00
Andrew Kane
e860042d3c Improved variable name [skip ci] 2023-11-05 08:35:54 -08:00
Andrew Kane
5986862bd2 Added note about check constraint [skip ci] 2023-11-04 15:01:37 -07:00
Andrew Kane
5d24f5d09a Improved header installation on Windows 2023-11-04 11:16:40 -07:00
Andrew Kane
7c43b0d8ee Updated example [skip ci] 2023-11-03 23:54:50 -07:00
Andrew Kane
7be40036f4 Updated readme [skip ci] 2023-11-03 23:46:23 -07:00
Andrew Kane
9b5a1a69db Updated readme [skip ci] 2023-11-03 23:43:47 -07:00
Andrew Kane
04b96506f5 Added info on storing vectors with more precision [skip ci] 2023-11-03 20:14:28 -07:00
Andrew Kane
35cd7b63cb Updated readme [skip ci] 2023-11-03 17:02:30 -07:00
Andrew Kane
b5416d6f10 Updated readme [skip ci] 2023-11-03 16:48:57 -07:00
Andrew Kane
f361bf2704 Improved docs on indexing vectors with different dimensions [skip ci] 2023-11-03 16:42:14 -07:00
Andrew Kane
3d8c1921aa Improved upgrading docs - #339 [skip ci] 2023-11-03 16:15:06 -07:00
Andrew Kane
154207bc17 Added info on columns with different dimensions [skip ci] 2023-11-03 16:02:00 -07:00
Andrew Kane
8e507f3bf5 Free remaining allocation from deconstruct_array - #332 2023-11-02 21:20:21 -07:00
Andrew Kane
e115773a55 Removed unneeded allocation 2023-11-02 21:16:06 -07:00
Andrew Kane
9333bef046 Added link to setup-pgvector [skip ci] 2023-11-02 13:22:19 -07:00
Andrew Kane
4851e47d9f Added Reciprocal Rank Fusion example to readme [skip ci] 2023-11-01 13:20:49 -07:00
Andrew Kane
12aecfb4f5 Added Nim and Zig to readme [skip ci] 2023-10-31 02:26:18 -07:00
Andrew Kane
800697fb14 Updated column alias [skip ci] 2023-10-29 16:47:55 -07:00
Andrew Kane
de1f2b09dd Improved indexing progress queries [skip ci] 2023-10-29 16:41:39 -07:00
Andrew Kane
bcccb7f5a5 Improved docs for indexing progress - closes #320 and closes #321 [skip ci] 2023-10-29 16:13:12 -07:00
Andrew Kane
bec3d30d68 Added TypeScript to readme [skip ci] 2023-10-29 12:49:01 -07:00
Andrew Kane
588de60445 Added Groovy to readme [skip ci] 2023-10-29 12:39:53 -07:00
Andrew Kane
c599f92b52 Updated readme [skip ci] 2023-10-27 13:22:37 -07:00
Andrew Kane
2a17b335da Added Kotlin to readme [skip ci] 2023-10-26 12:25:58 -07:00
Andrew Kane
6ede6ac301 Added link to pgvector-c [skip ci] 2023-10-26 00:30:06 -07:00
Andrew Kane
3f49b95f01 Added Postgres 17 to CI [skip ci] 2023-10-19 00:37:24 -07:00
Andrew Kane
ef1bea7163 Updated checkout action [skip ci] 2023-10-19 00:36:53 -07:00
Andrew Kane
e630efd195 Version bump to 0.5.1 [skip ci] 2023-10-10 17:40:57 -07:00
Andrew Kane
b5b912906b Added check for MVCC-compliant snapshot and removed marking tuples as dead for IVFFlat index scans - closes #260 2023-10-10 17:28:48 -07:00
Andrew Kane
4b5db94307 Disable closer caching for new elements for now 2023-10-06 14:27:09 -07:00
Andrew Kane
65e70326b8 Updated comment [skip ci] 2023-10-06 14:07:35 -07:00
Andrew Kane
71641ed84e Updated comment [skip ci] 2023-10-06 13:58:07 -07:00
Andrew Kane
f3dba25036 Added comment [skip ci] 2023-10-06 13:56:25 -07:00
Andrew Kane
5588ba6410 Improved variable name [skip ci] 2023-10-06 13:46:19 -07:00
Andrew Kane
ec9fac5456 Improved closerSet logic 2023-10-06 13:39:55 -07:00
Andrew Kane
8085d3e538 Moved sorting logic into SelectNeighbors 2023-10-06 12:56:15 -07:00
Andrew Kane
cae162ffc6 Ensure order is deterministic for SelectNeighbors closer caching 2023-10-06 12:26:53 -07:00
Andrew Kane
62482e3760 Use e for consistency 2023-10-05 16:15:13 -07:00
Heikki Linnakangas
c81302b835 Improve HNSW index build performance more (#295)
This takes the approach from commit a713e2acaa further. Once we have
remove a candidate from the "closer" set, we still don't need to
recalculate everything that follows. Any candidates that were in the
closer set before still only need to be compared with any new
candidates that we have added.
2023-10-05 16:04:50 -07:00
Andrew Kane
a713e2acaa Improved performance of HNSW index builds - closes #292
Co-authored-by: Heikki Linnakangas <heikki.linnakangas@iki.fi>
2023-10-05 13:21:26 -07:00
Andrew Kane
6e1312ddbe DRY max size 2023-10-04 21:43:34 -07:00
Andrew Kane
4ef5bca275 Use BLCKSZ for consistency 2023-10-04 21:37:55 -07:00
Xiaoran Wang
1ecf6ada76 Include ItemIdData when computing the maxSize for the data in a page (#274)
As the data is aligned, for hnsw, the combined size won't be in the range
(8156 (maxSize exlucding `ItemIdData`), 8160]. So even if the
ItemIdData is not included in the maxSize, it works well now, but I
think it's better to make it correct.
2023-10-04 21:26:46 -07:00
Andrew Kane
564a3d45fc Added check for MVCC-compliant snapshot for HNSW index scans - closes #281 2023-10-04 20:14:50 -07:00
Andrew Kane
8d7abb6590 Revert "Fixed locking for index scans for HNSW - #256"
This reverts commit d032726976.
2023-09-26 23:00:14 -07:00
jeff-davis
b247b688a8 No need to MarkBufferDirty(); GenericXLogFinish() does that. (#265) 2023-09-15 13:14:10 -07:00
Andrew Kane
9672446a4c Updated order [skip ci] 2023-09-12 19:53:12 -07:00
Andrew Kane
334614b7f7 Added HnswFreeNeighbors function [skip ci] 2023-09-12 19:49:31 -07:00
Andrew Kane
643eacd9dc Improved variable name [skip ci] 2023-09-12 19:37:42 -07:00
Andrew Kane
bca50a03fa Use consistent variable name 2023-09-12 19:24:31 -07:00
Andrew Kane
d87833cacc Improved variable scoping [skip ci] 2023-09-12 19:16:55 -07:00
Andrew Kane
4c01073ac1 Improved variable scoping [skip ci] 2023-09-12 18:43:43 -07:00
Andrew Kane
6fed8f1e78 Improved types and scoping for k-means [skip ci] 2023-09-12 18:37:56 -07:00
Andrew Kane
611f5b1047 Improved variable scoping [skip ci] 2023-09-12 18:35:53 -07:00
Andrew Kane
e367155732 Improved types and scoping for k-means 2023-09-12 18:33:31 -07:00
Andrew Kane
466c556b1a Improved variable scoping [skip ci] 2023-09-12 18:24:46 -07:00
Andrew Kane
75e09265d6 Improved variable scoping [skip ci] 2023-09-12 18:14:20 -07:00
Andrew Kane
77c5070fb6 Improved variable scoping [skip ci] 2023-09-12 16:50:51 -07:00
Andrew Kane
1006fdf3f2 Improved variable scoping [skip ci] 2023-09-12 16:44:09 -07:00
Andrew Kane
4209c9b3af Improved variable scoping 2023-09-12 16:13:10 -07:00
Andrew Kane
ec0bb4e4ff Improved code 2023-09-12 15:43:28 -07:00
24 changed files with 2129 additions and 821 deletions

View File

@@ -8,6 +8,8 @@ jobs:
fail-fast: false fail-fast: false
matrix: matrix:
include: include:
- postgres: 17
os: ubuntu-22.04
- postgres: 16 - postgres: 16
os: ubuntu-22.04 os: ubuntu-22.04
- postgres: 15 - postgres: 15
@@ -21,7 +23,7 @@ jobs:
- postgres: 11 - postgres: 11
os: ubuntu-20.04 os: ubuntu-20.04
steps: steps:
- uses: actions/checkout@v3 - uses: actions/checkout@v4
- uses: ankane/setup-postgres@v1 - uses: ankane/setup-postgres@v1
with: with:
postgres-version: ${{ matrix.postgres }} postgres-version: ${{ matrix.postgres }}
@@ -43,7 +45,7 @@ jobs:
runs-on: macos-latest runs-on: macos-latest
if: ${{ !startsWith(github.ref_name, 'windows') }} if: ${{ !startsWith(github.ref_name, 'windows') }}
steps: steps:
- uses: actions/checkout@v3 - uses: actions/checkout@v4
- uses: ankane/setup-postgres@v1 - uses: ankane/setup-postgres@v1
with: with:
postgres-version: 14 postgres-version: 14
@@ -60,12 +62,12 @@ jobs:
wget -q https://github.com/postgres/postgres/archive/refs/tags/REL_14_5.tar.gz wget -q https://github.com/postgres/postgres/archive/refs/tags/REL_14_5.tar.gz
tar xf REL_14_5.tar.gz tar xf REL_14_5.tar.gz
- run: make prove_installcheck PROVE_FLAGS="-I ./postgres-REL_14_5/src/test/perl" PERL5LIB="/Users/runner/perl5/lib/perl5" - run: make prove_installcheck PROVE_FLAGS="-I ./postgres-REL_14_5/src/test/perl" PERL5LIB="/Users/runner/perl5/lib/perl5"
- run: make clean && /usr/local/opt/llvm@15/bin/scan-build --status-bugs make - run: make clean && /usr/local/opt/llvm@15/bin/scan-build --status-bugs make PG_CFLAGS="-DUSE_ASSERT_CHECKING"
windows: windows:
runs-on: windows-latest runs-on: windows-latest
if: ${{ !startsWith(github.ref_name, 'mac') }} if: ${{ !startsWith(github.ref_name, 'mac') }}
steps: steps:
- uses: actions/checkout@v3 - uses: actions/checkout@v4
- uses: ankane/setup-postgres@v1 - uses: ankane/setup-postgres@v1
with: with:
postgres-version: 14 postgres-version: 14

View File

@@ -1,7 +1,15 @@
## 0.5.1 (unreleased) ## 0.5.2 (unreleased)
- Improved performance of index scans for IVFFlat after updates and deletes - Improved performance of HNSW
- Fixed locking for index scans for HNSW - Added support for parallel index builds for HNSW
- Reduced memory usage for HNSW index builds
- Reduced WAL generation for HNSW index builds
- Fixed `invalid memory alloc request size` error with HNSW index build
## 0.5.1 (2023-10-10)
- Improved performance of HNSW index builds
- Added check for MVCC-compliant snapshot for index scans
## 0.5.0 (2023-08-28) ## 0.5.0 (2023-08-28)

View File

@@ -2,7 +2,7 @@
"name": "vector", "name": "vector",
"abstract": "Open-source vector similarity search for Postgres", "abstract": "Open-source vector similarity search for Postgres",
"description": "Supports L2 distance, inner product, and cosine distance", "description": "Supports L2 distance, inner product, and cosine distance",
"version": "0.5.0", "version": "0.5.1",
"maintainer": [ "maintainer": [
"Andrew Kane <andrew@ankane.org>" "Andrew Kane <andrew@ankane.org>"
], ],
@@ -20,7 +20,7 @@
"vector": { "vector": {
"file": "sql/vector.sql", "file": "sql/vector.sql",
"docfile": "README.md", "docfile": "README.md",
"version": "0.5.0", "version": "0.5.1",
"abstract": "Open-source vector similarity search for Postgres" "abstract": "Open-source vector similarity search for Postgres"
} }
}, },

View File

@@ -1,5 +1,5 @@
EXTENSION = vector EXTENSION = vector
EXTVERSION = 0.5.0 EXTVERSION = 0.5.1
MODULE_big = vector MODULE_big = vector
DATA = $(wildcard sql/*--*.sql) DATA = $(wildcard sql/*--*.sql)

View File

@@ -1,5 +1,5 @@
EXTENSION = vector EXTENSION = vector
EXTVERSION = 0.5.0 EXTVERSION = 0.5.1
OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj OBJS = src\hnsw.obj src\hnswbuild.obj src\hnswinsert.obj src\hnswscan.obj src\hnswutils.obj src\hnswvacuum.obj src\ivfbuild.obj src\ivfflat.obj src\ivfinsert.obj src\ivfkmeans.obj src\ivfscan.obj src\ivfutils.obj src\ivfvacuum.obj src\vector.obj
HEADERS = src\vector.h HEADERS = src\vector.h
@@ -56,7 +56,7 @@ install:
copy $(EXTENSION).control "$(SHAREDIR)\extension" copy $(EXTENSION).control "$(SHAREDIR)\extension"
copy sql\$(EXTENSION)--*.sql "$(SHAREDIR)\extension" copy sql\$(EXTENSION)--*.sql "$(SHAREDIR)\extension"
mkdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)" mkdir "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
copy $(HEADERS) "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)" for %f in ($(HEADERS)) do copy %f "$(INCLUDEDIR_SERVER)\extension\$(EXTENSION)"
installcheck: installcheck:
"$(BINDIR)\pg_regress" --bindir="$(BINDIR)" $(REGRESS_OPTS) $(REGRESS) "$(BINDIR)\pg_regress" --bindir="$(BINDIR)" $(REGRESS_OPTS) $(REGRESS)

264
README.md
View File

@@ -10,7 +10,7 @@ Store your vectors with the rest of your data. Supports:
Plus [ACID](https://en.wikipedia.org/wiki/ACID) compliance, point-in-time recovery, JOINs, and all of the other [great features](https://www.postgresql.org/about/) of Postgres Plus [ACID](https://en.wikipedia.org/wiki/ACID) compliance, point-in-time recovery, JOINs, and all of the other [great features](https://www.postgresql.org/about/) of Postgres
[![Build Status](https://github.com/pgvector/pgvector/workflows/build/badge.svg?branch=master)](https://github.com/pgvector/pgvector/actions) [![Build Status](https://github.com/pgvector/pgvector/actions/workflows/build.yml/badge.svg)](https://github.com/pgvector/pgvector/actions)
## Installation ## Installation
@@ -18,7 +18,7 @@ Compile and install the extension (supports Postgres 11+)
```sh ```sh
cd /tmp cd /tmp
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
cd pgvector cd pgvector
make make
make install # may need sudo make install # may need sudo
@@ -26,7 +26,7 @@ make install # may need sudo
See the [installation notes](#installation-notes) if you run into issues See the [installation notes](#installation-notes) if you run into issues
You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#pgxn), [APT](#apt), [Yum](#yum), or [conda-forge](#conda-forge), and it comes preinstalled with [Postgres.app](#postgresapp) and many [hosted providers](#hosted-postgres) You can also install it with [Docker](#docker), [Homebrew](#homebrew), [PGXN](#pgxn), [APT](#apt), [Yum](#yum), or [conda-forge](#conda-forge), and it comes preinstalled with [Postgres.app](#postgresapp) and many [hosted providers](#hosted-postgres). There are also instructions for [GitHub Actions](https://github.com/pgvector/setup-pgvector).
## Getting Started ## Getting Started
@@ -161,8 +161,97 @@ You can add an index to use approximate nearest neighbor search, which trades so
Supported index types are: Supported index types are:
- [IVFFlat](#ivfflat)
- [HNSW](#hnsw) - added in 0.5.0 - [HNSW](#hnsw) - added in 0.5.0
- [IVFFlat](#ivfflat)
## HNSW
An HNSW index creates a multilayer graph. It has better query performance than IVFFlat (in terms of speed-recall tradeoff), but has slower build times and uses more memory. Also, an index can be created without any data in the table since there isnt a training step like IVFFlat.
Add an index for each distance function you want to use.
L2 distance
```sql
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops);
```
Inner product
```sql
CREATE INDEX ON items USING hnsw (embedding vector_ip_ops);
```
Cosine distance
```sql
CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
```
Vectors with up to 2,000 dimensions can be indexed.
### Index Options
Specify HNSW parameters
- `m` - the max number of connections per layer (16 by default)
- `ef_construction` - the size of the dynamic candidate list for constructing the graph (64 by default)
```sql
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WITH (m = 16, ef_construction = 64);
```
A higher value of `ef_construction` provides better recall at the cost of index build time / insert speed.
### Query Options
Specify the size of the dynamic candidate list for search (40 by default)
```sql
SET hnsw.ef_search = 100;
```
A higher value provides better recall at the cost of speed.
Use `SET LOCAL` inside a transaction to set it for a single query
```sql
BEGIN;
SET LOCAL hnsw.ef_search = 100;
SELECT ...
COMMIT;
```
### Index Build Time
Indexes build significantly faster when the graph fits into `maintenance_work_mem`
```sql
SET maintenance_work_mem = '8GB';
```
A notice is shown when the graph no longer fits
```text
NOTICE: hnsw graph no longer fits into maintenance_work_mem after 100000 tuples
DETAIL: Building will take significantly more time.
HINT: Increase maintenance_work_mem to speed up builds.
```
Note: Do not set `maintenance_work_mem` so high that it exhausts the memory on the server
### Indexing Progress
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
```sql
SELECT phase, round(100.0 * blocks_done / nullif(blocks_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
```
The phases for HNSW are:
1. `initializing`
2. `loading tuples`
## IVFFlat ## IVFFlat
@@ -215,78 +304,22 @@ SELECT ...
COMMIT; COMMIT;
``` ```
## HNSW ### Indexing Progress
An HNSW index creates a multilayer graph. It has slower build times and uses more memory than IVFFlat, but has better query performance (in terms of speed-recall tradeoff). Theres no training step like IVFFlat, so the index can be created without any data in the table.
Add an index for each distance function you want to use.
L2 distance
```sql
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops);
```
Inner product
```sql
CREATE INDEX ON items USING hnsw (embedding vector_ip_ops);
```
Cosine distance
```sql
CREATE INDEX ON items USING hnsw (embedding vector_cosine_ops);
```
Vectors with up to 2,000 dimensions can be indexed.
### Index Options
Specify HNSW parameters
- `m` - the max number of connections per layer (16 by default)
- `ef_construction` - the size of the dynamic candidate list for constructing the graph (64 by default)
```sql
CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WITH (m = 16, ef_construction = 64);
```
### Query Options
Specify the size of the dynamic candidate list for search (40 by default)
```sql
SET hnsw.ef_search = 100;
```
A higher value provides better recall at the cost of speed.
Use `SET LOCAL` inside a transaction to set it for a single query
```sql
BEGIN;
SET LOCAL hnsw.ef_search = 100;
SELECT ...
COMMIT;
```
## Indexing Progress
Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+ Check [indexing progress](https://www.postgresql.org/docs/current/progress-reporting.html#CREATE-INDEX-PROGRESS-REPORTING) with Postgres 12+
```sql ```sql
SELECT phase, tuples_done, tuples_total FROM pg_stat_progress_create_index; SELECT phase, round(100.0 * tuples_done / nullif(tuples_total, 0), 1) AS "%" FROM pg_stat_progress_create_index;
``` ```
The phases are: The phases for IVFFlat are:
1. `initializing` 1. `initializing`
2. `performing k-means` - IVFFlat only 2. `performing k-means`
3. `assigning tuples` - IVFFlat only 3. `assigning tuples`
4. `loading tuples` 4. `loading tuples`
Note: `tuples_done` and `tuples_total` are only populated during the `loading tuples` phase Note: `%` is only populated during the `loading tuples` phase
## Filtering ## Filtering
@@ -305,8 +338,7 @@ CREATE INDEX ON items (category_id);
Or a [partial index](https://www.postgresql.org/docs/current/indexes-partial.html) on the vector column for approximate search Or a [partial index](https://www.postgresql.org/docs/current/indexes-partial.html) on the vector column for approximate search
```sql ```sql
CREATE INDEX ON items USING ivfflat (embedding vector_l2_ops) WITH (lists = 100) CREATE INDEX ON items USING hnsw (embedding vector_l2_ops) WHERE (category_id = 123);
WHERE (category_id = 123);
``` ```
Use [partitioning](https://www.postgresql.org/docs/current/ddl-partitioning.html) for approximate search on many different values of the `WHERE` columns Use [partitioning](https://www.postgresql.org/docs/current/ddl-partitioning.html) for approximate search on many different values of the `WHERE` columns
@@ -317,13 +349,15 @@ CREATE TABLE items (embedding vector(3), category_id int) PARTITION BY LIST(cate
## Hybrid Search ## Hybrid Search
Use together with Postgres [full-text search](https://www.postgresql.org/docs/current/textsearch-intro.html) for hybrid search ([Python example](https://github.com/pgvector/pgvector-python/blob/master/examples/hybrid_search.py)). Use together with Postgres [full-text search](https://www.postgresql.org/docs/current/textsearch-intro.html) for hybrid search.
```sql ```sql
SELECT id, content FROM items, plainto_tsquery('hello search') query SELECT id, content FROM items, plainto_tsquery('hello search') query
WHERE textsearch @@ query ORDER BY ts_rank_cd(textsearch, query) DESC LIMIT 5; WHERE textsearch @@ query ORDER BY ts_rank_cd(textsearch, query) DESC LIMIT 5;
``` ```
You can use [Reciprocal Rank Fusion](https://github.com/pgvector/pgvector-python/blob/master/examples/hybrid_search_rrf.py) or a [cross-encoder](https://github.com/pgvector/pgvector-python/blob/master/examples/hybrid_search.py) to combine results.
## Performance ## Performance
Use `EXPLAIN ANALYZE` to debug performance. Use `EXPLAIN ANALYZE` to debug performance.
@@ -360,17 +394,21 @@ Use pgvector from any language with a Postgres client. You can even generate and
Language | Libraries / Examples Language | Libraries / Examples
--- | --- --- | ---
C | [pgvector-c](https://github.com/pgvector/pgvector-c)
C++ | [pgvector-cpp](https://github.com/pgvector/pgvector-cpp) C++ | [pgvector-cpp](https://github.com/pgvector/pgvector-cpp)
C# | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet) C#, F#, Visual Basic | [pgvector-dotnet](https://github.com/pgvector/pgvector-dotnet)
Crystal | [pgvector-crystal](https://github.com/pgvector/pgvector-crystal) Crystal | [pgvector-crystal](https://github.com/pgvector/pgvector-crystal)
Dart | [pgvector-dart](https://github.com/pgvector/pgvector-dart) Dart | [pgvector-dart](https://github.com/pgvector/pgvector-dart)
Elixir | [pgvector-elixir](https://github.com/pgvector/pgvector-elixir) Elixir | [pgvector-elixir](https://github.com/pgvector/pgvector-elixir)
Go | [pgvector-go](https://github.com/pgvector/pgvector-go) Go | [pgvector-go](https://github.com/pgvector/pgvector-go)
Haskell | [pgvector-haskell](https://github.com/pgvector/pgvector-haskell) Haskell | [pgvector-haskell](https://github.com/pgvector/pgvector-haskell)
Java, Scala | [pgvector-java](https://github.com/pgvector/pgvector-java) 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-julia](https://github.com/pgvector/pgvector-julia)
Lisp | [pgvector-lisp](https://github.com/pgvector/pgvector-lisp)
Lua | [pgvector-lua](https://github.com/pgvector/pgvector-lua) Lua | [pgvector-lua](https://github.com/pgvector/pgvector-lua)
Node.js | [pgvector-node](https://github.com/pgvector/pgvector-node) Nim | [pgvector-nim](https://github.com/pgvector/pgvector-nim)
OCaml | [pgvector-ocaml](https://github.com/pgvector/pgvector-ocaml)
Perl | [pgvector-perl](https://github.com/pgvector/pgvector-perl) Perl | [pgvector-perl](https://github.com/pgvector/pgvector-perl)
PHP | [pgvector-php](https://github.com/pgvector/pgvector-php) PHP | [pgvector-php](https://github.com/pgvector/pgvector-php)
Python | [pgvector-python](https://github.com/pgvector/pgvector-python) Python | [pgvector-python](https://github.com/pgvector/pgvector-python)
@@ -378,6 +416,7 @@ R | [pgvector-r](https://github.com/pgvector/pgvector-r)
Ruby | [pgvector-ruby](https://github.com/pgvector/pgvector-ruby), [Neighbor](https://github.com/ankane/neighbor) Ruby | [pgvector-ruby](https://github.com/pgvector/pgvector-ruby), [Neighbor](https://github.com/ankane/neighbor)
Rust | [pgvector-rust](https://github.com/pgvector/pgvector-rust) Rust | [pgvector-rust](https://github.com/pgvector/pgvector-rust)
Swift | [pgvector-swift](https://github.com/pgvector/pgvector-swift) Swift | [pgvector-swift](https://github.com/pgvector/pgvector-swift)
Zig | [pgvector-zig](https://github.com/pgvector/pgvector-zig)
## Frequently Asked Questions ## Frequently Asked Questions
@@ -393,6 +432,63 @@ Yes, pgvector uses the write-ahead log (WAL), which allows for replication and p
Youll need to use [dimensionality reduction](https://en.wikipedia.org/wiki/Dimensionality_reduction) at the moment. Youll need to use [dimensionality reduction](https://en.wikipedia.org/wiki/Dimensionality_reduction) at the moment.
#### Can I store vectors with different dimensions in the same column?
You can use `vector` as the type (instead of `vector(3)`).
```sql
CREATE TABLE embeddings (model_id bigint, item_id bigint, embedding vector, PRIMARY KEY (model_id, item_id));
```
However, you can only create indexes on rows with the same number of dimensions (using [expression](https://www.postgresql.org/docs/current/indexes-expressional.html) and [partial](https://www.postgresql.org/docs/current/indexes-partial.html) indexing):
```sql
CREATE INDEX ON embeddings USING hnsw ((embedding::vector(3)) vector_l2_ops) WHERE (model_id = 123);
```
and query with:
```sql
SELECT * FROM embeddings WHERE model_id = 123 ORDER BY embedding::vector(3) <-> '[3,1,2]' LIMIT 5;
```
#### Can I store vectors with more precision?
You can use the `double precision[]` or `numeric[]` type to store vectors with more precision.
```sql
CREATE TABLE items (id bigserial PRIMARY KEY, embedding double precision[]);
-- use {} instead of [] for Postgres arrays
INSERT INTO items (embedding) VALUES ('{1,2,3}'), ('{4,5,6}');
```
Optionally, add a [check constraint](https://www.postgresql.org/docs/current/ddl-constraints.html) to ensure data can be converted to the `vector` type and has the expected dimensions.
```sql
ALTER TABLE items ADD CHECK (vector_dims(embedding::vector) = 3);
```
Use [expression indexing](https://www.postgresql.org/docs/current/indexes-expressional.html) to index (at a lower precision):
```sql
CREATE INDEX ON items USING hnsw ((embedding::vector(3)) vector_l2_ops);
```
and query with:
```sql
SELECT * FROM items ORDER BY embedding::vector(3) <-> '[3,1,2]' LIMIT 5;
```
#### Do indexes need to fit into memory?
No, but like other index types, youll likely see better performance if they do. You can get the size of an index with:
```sql
SELECT pg_size_pretty(pg_relation_size('index_name'));
```
## Troubleshooting ## Troubleshooting
#### Why isnt a query using an index? #### Why isnt a query using an index?
@@ -406,6 +502,8 @@ SELECT ...
COMMIT; COMMIT;
``` ```
Also, if the table is small, a table scan may be faster.
#### Why isnt a query using a parallel table scan? #### Why isnt a query using a parallel table scan?
The planner doesnt consider [out-of-line storage](https://www.postgresql.org/docs/current/storage-toast.html) in cost estimates, which can make a serial scan look cheaper. You can reduce the cost of a parallel scan for a query with: The planner doesnt consider [out-of-line storage](https://www.postgresql.org/docs/current/storage-toast.html) in cost estimates, which can make a serial scan look cheaper. You can reduce the cost of a parallel scan for a query with:
@@ -490,10 +588,10 @@ 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-15 sudo apt install postgresql-server-dev-16
``` ```
Note: Replace `15` with your Postgres server version Note: Replace `16` with your Postgres server version
### Windows ### Windows
@@ -508,8 +606,8 @@ Note: The exact path will vary depending on your Visual Studio version and editi
Then use `nmake` to build: Then use `nmake` to build:
```cmd ```cmd
set "PGROOT=C:\Program Files\PostgreSQL\15" set "PGROOT=C:\Program Files\PostgreSQL\16"
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
cd pgvector cd pgvector
nmake /F Makefile.win nmake /F Makefile.win
nmake /F Makefile.win install nmake /F Makefile.win install
@@ -530,7 +628,7 @@ This adds pgvector to the [Postgres image](https://hub.docker.com/_/postgres) (r
You can also build the image manually: You can also build the image manually:
```sh ```sh
git clone --branch v0.5.0 https://github.com/pgvector/pgvector.git git clone --branch v0.5.1 https://github.com/pgvector/pgvector.git
cd pgvector cd pgvector
docker build --build-arg PG_MAJOR=15 -t myuser/pgvector . docker build --build-arg PG_MAJOR=15 -t myuser/pgvector .
``` ```
@@ -558,22 +656,22 @@ 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-15-pgvector sudo apt install postgresql-16-pgvector
``` ```
Note: Replace `15` with your Postgres server version Note: Replace `16` 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_15 sudo yum install pgvector_16
# or # or
sudo dnf install pgvector_15 sudo dnf install pgvector_16
``` ```
Note: Replace `15` with your Postgres server version Note: Replace `16` with your Postgres server version
### conda-forge ### conda-forge
@@ -595,7 +693,7 @@ pgvector is available on [these providers](https://github.com/pgvector/pgvector/
## Upgrading ## Upgrading
Install the latest version. Then in each database you want to upgrade, run: [Install](#installation) the latest version (use the same method as the original installation). Then in each database you want to upgrade, run:
```sql ```sql
ALTER EXTENSION vector UPDATE; ALTER EXTENSION vector UPDATE;

View File

@@ -0,0 +1,2 @@
-- complain if script is sourced in psql, rather than via CREATE EXTENSION
\echo Use "ALTER EXTENSION vector UPDATE TO '0.5.1'" to load this file. \quit

View File

@@ -14,14 +14,45 @@
#endif #endif
int hnsw_ef_search; int hnsw_ef_search;
int hnsw_lock_tranche_id;
static relopt_kind hnsw_relopt_kind; static relopt_kind hnsw_relopt_kind;
/*
* Assign a tranche ID for our LWLocks. This only needs to be done by one
* backend, as the tranche ID is remembered in shared memory.
*
* This shared memory area is very small, so we just allocate it from the
* "slop" that PostgreSQL reserves for small allocations like this. If
* this grows bigger, we should use a shmem_request_hook and
* RequestAddinShmemSpace() to pre-reserve space for this.
*/
static void
HnswInitLockTranche(void)
{
int *tranche_ids;
bool found;
LWLockAcquire(AddinShmemInitLock, LW_EXCLUSIVE);
tranche_ids = ShmemInitStruct("hnsw LWLock ids",
sizeof(int) * 1,
&found);
if (!found)
tranche_ids[0] = LWLockNewTrancheId();
hnsw_lock_tranche_id = tranche_ids[0];
LWLockRelease(AddinShmemInitLock);
/* Per-backend registration of the tranche ID */
LWLockRegisterTranche(hnsw_lock_tranche_id, "HnswBuild");
}
/* /*
* Initialize index options and variables * Initialize index options and variables
*/ */
void void
HnswInit(void) HnswInit(void)
{ {
HnswInitLockTranche();
hnsw_relopt_kind = add_reloption_kind(); hnsw_relopt_kind = add_reloption_kind();
add_int_reloption(hnsw_relopt_kind, "m", "Max number of connections", add_int_reloption(hnsw_relopt_kind, "m", "Max number of connections",
HNSW_DEFAULT_M, HNSW_MIN_M, HNSW_MAX_M HNSW_DEFAULT_M, HNSW_MIN_M, HNSW_MAX_M

View File

@@ -4,9 +4,11 @@
#include "postgres.h" #include "postgres.h"
#include "access/generic_xlog.h" #include "access/generic_xlog.h"
#include "access/parallel.h"
#include "access/reloptions.h" #include "access/reloptions.h"
#include "nodes/execnodes.h" #include "nodes/execnodes.h"
#include "port.h" /* for random() */ #include "port.h" /* for random() */
#include "utils/relptr.h"
#include "utils/sampling.h" #include "utils/sampling.h"
#include "vector.h" #include "vector.h"
@@ -14,6 +16,10 @@
#error "Requires PostgreSQL 11+" #error "Requires PostgreSQL 11+"
#endif #endif
#if PG_VERSION_NUM < 120000
#include "access/relscan.h"
#endif
#define HNSW_MAX_DIM 2000 #define HNSW_MAX_DIM 2000
/* Support functions */ /* Support functions */
@@ -57,7 +63,9 @@
/* PROGRESS_CREATEIDX_SUBPHASE_INITIALIZE is 1 */ /* PROGRESS_CREATEIDX_SUBPHASE_INITIALIZE is 1 */
#define PROGRESS_HNSW_PHASE_LOAD 2 #define PROGRESS_HNSW_PHASE_LOAD 2
#define HNSW_ELEMENT_TUPLE_SIZE(_dim) MAXALIGN(offsetof(HnswElementTupleData, vec) + VECTOR_SIZE(_dim)) #define HNSW_MAX_SIZE (BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)) - sizeof(ItemIdData))
#define HNSW_ELEMENT_TUPLE_SIZE(size) MAXALIGN(offsetof(HnswElementTupleData, data) + (size))
#define HNSW_NEIGHBOR_TUPLE_SIZE(level, m) MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData)) #define HNSW_NEIGHBOR_TUPLE_SIZE(level, m) MAXALIGN(offsetof(HnswNeighborTupleData, indextids) + ((level) + 2) * (m) * sizeof(ItemPointerData))
#define HnswPageGetOpaque(page) ((HnswPageOpaque) PageGetSpecialPointer(page)) #define HnswPageGetOpaque(page) ((HnswPageOpaque) PageGetSpecialPointer(page))
@@ -65,8 +73,10 @@
#if PG_VERSION_NUM >= 150000 #if PG_VERSION_NUM >= 150000
#define RandomDouble() pg_prng_double(&pg_global_prng_state) #define RandomDouble() pg_prng_double(&pg_global_prng_state)
#define SeedRandom(seed) pg_prng_seed(&pg_global_prng_state, seed)
#else #else
#define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE) #define RandomDouble() (((double) random()) / MAX_RANDOM_VALUE)
#define SeedRandom(seed) srandom(seed)
#endif #endif
#if PG_VERSION_NUM < 130000 #if PG_VERSION_NUM < 130000
@@ -84,38 +94,73 @@
#define HnswGetMl(m) (1 / log(m)) #define HnswGetMl(m) (1 / log(m))
/* 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 HnswGetValue(base, element) PointerGetDatum(HnswPtrAccess(base, (element)->value))
#if PG_VERSION_NUM < 140005
#define relptr_offset(rp) ((rp).relptr_off - 1)
#endif
/* Pointer macros */
#define HnswPtrAccess(base, hp) ((base) == NULL ? (hp).ptr : relptr_access(base, (hp).relptr))
#define HnswPtrStore(base, hp, value) ((base) == NULL ? (void) ((hp).ptr = (value)) : (void) relptr_store(base, (hp).relptr, value))
#define HnswPtrIsNull(base, hp) ((base) == NULL ? (hp).ptr == NULL : relptr_is_null((hp).relptr))
#define HnswPtrEqual(base, hp1, hp2) ((base) == NULL ? (hp1).ptr == (hp2).ptr : relptr_offset((hp1).relptr) == relptr_offset((hp2).relptr))
/* For code paths dedicated to each type */
#define HnswPtrPointer(hp) (hp).ptr
#define HnswPtrOffset(hp) relptr_offset((hp).relptr)
/* Variables */ /* Variables */
extern int hnsw_ef_search; extern int hnsw_ef_search;
extern int hnsw_lock_tranche_id;
typedef struct HnswElementData HnswElementData;
typedef struct HnswNeighborArray HnswNeighborArray; typedef struct HnswNeighborArray HnswNeighborArray;
#define HnswPtrDeclare(type, relptrtype, ptrtype) \
relptr_declare(type, relptrtype); \
typedef union { type *ptr; relptrtype relptr; } ptrtype;
/* Pointers that can be absolute or relative */
/* Use char for DatumPtr so works with Pointer */
HnswPtrDeclare(HnswElementData, HnswElementRelptr, HnswElementPtr);
HnswPtrDeclare(HnswNeighborArray, HnswNeighborArrayRelptr, HnswNeighborArrayPtr);
HnswPtrDeclare(HnswNeighborArrayPtr, HnswNeighborsRelptr, HnswNeighborsPtr);
HnswPtrDeclare(char, DatumRelptr, DatumPtr);
typedef struct HnswElementData typedef struct HnswElementData
{ {
List *heaptids; HnswElementPtr next;
ItemPointerData heaptids[HNSW_HEAPTIDS];
uint8 heaptidsLength;
uint8 level; uint8 level;
uint8 deleted; uint8 deleted;
HnswNeighborArray *neighbors; uint32 hash;
HnswNeighborsPtr neighbors;
BlockNumber blkno; BlockNumber blkno;
OffsetNumber offno; OffsetNumber offno;
OffsetNumber neighborOffno; OffsetNumber neighborOffno;
BlockNumber neighborPage; BlockNumber neighborPage;
Vector *vec; DatumPtr value;
LWLock lock;
} HnswElementData; } HnswElementData;
typedef HnswElementData * HnswElement; typedef HnswElementData * HnswElement;
typedef struct HnswCandidate typedef struct HnswCandidate
{ {
HnswElement element; HnswElementPtr element;
float distance; float distance;
bool closer;
} HnswCandidate; } HnswCandidate;
typedef struct HnswNeighborArray typedef struct HnswNeighborArray
{ {
int length; int length;
HnswCandidate *items; bool closerSet;
HnswCandidate items[FLEXIBLE_ARRAY_MEMBER];
} HnswNeighborArray; } HnswNeighborArray;
typedef struct HnswPairingHeapNode typedef struct HnswPairingHeapNode
@@ -132,6 +177,70 @@ typedef struct HnswOptions
int efConstruction; /* size of dynamic candidate list */ int efConstruction; /* size of dynamic candidate list */
} HnswOptions; } HnswOptions;
typedef struct HnswGraph
{
/* Graph state */
slock_t lock;
HnswElementPtr head;
double indtuples;
/* Entry state */
LWLock entryLock;
HnswElementPtr entryPoint;
/* Allocations state */
LWLock allocatorLock;
long memoryUsed;
long memoryTotal;
/* Flushed state */
LWLock flushLock;
bool flushed;
} HnswGraph;
typedef struct HnswShared
{
/* Immutable state */
Oid heaprelid;
Oid indexrelid;
bool isconcurrent;
/* Worker progress */
ConditionVariable workersdonecv;
/* Mutex for mutable state */
slock_t mutex;
/* Mutable state */
int nparticipantsdone;
double reltuples;
HnswGraph graphData;
#if PG_VERSION_NUM < 120000
ParallelHeapScanDescData heapdesc; /* must come last */
#endif
} HnswShared;
#if PG_VERSION_NUM >= 120000
#define ParallelTableScanFromHnswShared(shared) \
(ParallelTableScanDesc) ((char *) (shared) + BUFFERALIGN(sizeof(HnswShared)))
#endif
typedef struct HnswLeader
{
ParallelContext *pcxt;
int nparticipanttuplesorts;
HnswShared *hnswshared;
Snapshot snapshot;
char *hnswarea;
} HnswLeader;
typedef struct HnswAllocator
{
void *(*alloc) (Size size, void *state);
void *state;
} HnswAllocator;
typedef struct HnswBuildState typedef struct HnswBuildState
{ {
/* Info */ /* Info */
@@ -155,16 +264,21 @@ typedef struct HnswBuildState
Oid collation; Oid collation;
/* Variables */ /* Variables */
List *elements; HnswGraph graphData;
HnswElement entryPoint; HnswGraph *graph;
double ml; double ml;
int maxLevel; int maxLevel;
double maxInMemoryElements;
bool flushed;
Vector *normvec; Vector *normvec;
/* Memory */ /* Memory */
MemoryContext graphCtx;
MemoryContext tmpCtx; MemoryContext tmpCtx;
HnswAllocator allocator;
/* Parallel builds */
HnswLeader *hnswleader;
HnswShared *hnswshared;
char *hnswarea;
} HnswBuildState; } HnswBuildState;
typedef struct HnswMetaPageData typedef struct HnswMetaPageData
@@ -200,7 +314,7 @@ typedef struct HnswElementTupleData
ItemPointerData heaptids[HNSW_HEAPTIDS]; ItemPointerData heaptids[HNSW_HEAPTIDS];
ItemPointerData neighbortid; ItemPointerData neighbortid;
uint16 unused2; uint16 unused2;
Vector vec; Vector data;
} HnswElementTupleData; } HnswElementTupleData;
typedef HnswElementTupleData * HnswElementTuple; typedef HnswElementTupleData * HnswElementTuple;
@@ -246,7 +360,7 @@ typedef struct HnswVacuumState
Oid collation; Oid collation;
/* Variables */ /* Variables */
HTAB *deleted; struct tidhash_hash *deleted;
BufferAccessStrategy bas; BufferAccessStrategy bas;
HnswNeighborTuple ntup; HnswNeighborTuple ntup;
HnswElementData highestPoint; HnswElementData highestPoint;
@@ -258,33 +372,31 @@ typedef struct HnswVacuumState
/* Methods */ /* Methods */
int HnswGetM(Relation index); int HnswGetM(Relation index);
int HnswGetEfConstruction(Relation index); int HnswGetEfConstruction(Relation index);
FmgrInfo *HnswOptionalProcInfo(Relation rel, uint16 procnum); FmgrInfo *HnswOptionalProcInfo(Relation index, uint16 procnum);
bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result); bool HnswNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
void HnswCommitBuffer(Buffer buf, GenericXLogState *state);
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 HnswInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogState **state);
void HnswInit(void); void HnswInit(void);
List *HnswSearchLayer(Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement); List *HnswSearchLayer(char *base, Datum q, List *ep, int ef, int lc, Relation index, FmgrInfo *procinfo, Oid collation, int m, bool inserting, HnswElement skipElement);
HnswElement HnswGetEntryPoint(Relation index); HnswElement HnswGetEntryPoint(Relation index);
void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint); void HnswGetMetaPageInfo(Relation index, int *m, HnswElement * entryPoint);
HnswElement HnswInitElement(ItemPointer tid, int m, double ml, int maxLevel); void *HnswAlloc(HnswAllocator * allocator, Size size);
void HnswFreeElement(HnswElement element); 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 HnswInsertElement(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, FmgrInfo *procinfo, Oid collation, int m, int efConstruction, bool existing);
HnswElement HnswFindDuplicate(HnswElement e); HnswCandidate *HnswEntryCandidate(char *base, HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, bool loadVec);
HnswCandidate *HnswEntryCandidate(HnswElement em, Datum q, Relation rel, FmgrInfo *procinfo, Oid collation, bool loadVec); void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum, bool building);
void HnswUpdateMetaPage(Relation index, int updateEntry, HnswElement entryPoint, BlockNumber insertPage, ForkNumber forkNum); void HnswSetNeighborTuple(char *base, HnswNeighborTuple ntup, HnswElement e, int m);
void HnswSetNeighborTuple(HnswNeighborTuple ntup, HnswElement e, int m);
void HnswAddHeapTid(HnswElement element, ItemPointer heaptid); void HnswAddHeapTid(HnswElement element, ItemPointer heaptid);
void HnswInitNeighbors(HnswElement element, int m); void HnswInitNeighbors(char *base, HnswElement element, int m, HnswAllocator * alloc);
bool HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel); bool HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel, bool building);
void HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting); void HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building);
void HnswLoadElementFromTuple(HnswElement element, HnswElementTuple etup, bool loadHeaptids, bool loadVec); void 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); void HnswLoadElement(HnswElement element, float *distance, Datum *q, Relation index, FmgrInfo *procinfo, Oid collation, bool loadVec);
void HnswSetElementTuple(HnswElementTuple etup, HnswElement element); void HnswSetElementTuple(char *base, HnswElementTuple etup, HnswElement element);
void HnswUpdateConnection(HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation); void HnswUpdateConnection(char *base, HnswElement element, HnswCandidate * hc, int m, int lc, int *updateIdx, Relation index, FmgrInfo *procinfo, Oid collation);
void HnswLoadNeighbors(HnswElement element, Relation index, int m); void HnswLoadNeighbors(HnswElement element, Relation index, int m);
PGDLLEXPORT void HnswParallelBuildMain(dsm_segment *seg, shm_toc *toc);
/* Index access methods */ /* Index access methods */
IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo); IndexBuildResult *hnswbuild(Relation heap, Relation index, IndexInfo *indexInfo);
@@ -302,4 +414,54 @@ void hnswrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys,
bool hnswgettuple(IndexScanDesc scan, ScanDirection dir); bool hnswgettuple(IndexScanDesc scan, ScanDirection dir);
void hnswendscan(IndexScanDesc scan); void hnswendscan(IndexScanDesc scan);
static inline HnswNeighborArray *
HnswGetNeighbors(char *base, HnswElement element, int lc)
{
HnswNeighborArrayPtr *neighborList = HnswPtrAccess(base, element->neighbors);
Assert(element->level >= lc);
return HnswPtrAccess(base, neighborList[lc]);
}
/* Hash tables */
typedef struct TidHashEntry
{
ItemPointerData tid;
char status;
} TidHashEntry;
#define SH_PREFIX tidhash
#define SH_ELEMENT_TYPE TidHashEntry
#define SH_KEY_TYPE ItemPointerData
#define SH_SCOPE extern
#define SH_DECLARE
#include "lib/simplehash.h"
typedef struct PointerHashEntry
{
uintptr_t ptr;
char status;
} PointerHashEntry;
#define SH_PREFIX pointerhash
#define SH_ELEMENT_TYPE PointerHashEntry
#define SH_KEY_TYPE uintptr_t
#define SH_SCOPE extern
#define SH_DECLARE
#include "lib/simplehash.h"
typedef struct OffsetHashEntry
{
Size offset;
char status;
} OffsetHashEntry;
#define SH_PREFIX offsethash
#define SH_ELEMENT_TYPE OffsetHashEntry
#define SH_KEY_TYPE Size
#define SH_SCOPE extern
#define SH_DECLARE
#include "lib/simplehash.h"
#endif #endif

File diff suppressed because it is too large Load Diff

View File

@@ -5,6 +5,7 @@
#include "hnsw.h" #include "hnsw.h"
#include "storage/bufmgr.h" #include "storage/bufmgr.h"
#include "storage/lmgr.h" #include "storage/lmgr.h"
#include "utils/datum.h"
#include "utils/memutils.h" #include "utils/memutils.h"
/* /*
@@ -92,7 +93,7 @@ HnswFreeOffset(Relation index, Buffer buf, Page page, HnswElement element, Size
* Add a new page * Add a new page
*/ */
static void static void
HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page) HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState *state, Page page, bool building)
{ {
/* Add a new page */ /* Add a new page */
LockRelationForExtension(index, ExclusiveLock); LockRelationForExtension(index, ExclusiveLock);
@@ -100,7 +101,11 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
UnlockRelationForExtension(index, ExclusiveLock); UnlockRelationForExtension(index, ExclusiveLock);
/* Init new page */ /* Init new page */
*npage = GenericXLogRegisterBuffer(state, *nbuf, GENERIC_XLOG_FULL_IMAGE); if (building)
*npage = BufferGetPage(*nbuf);
else
*npage = GenericXLogRegisterBuffer(state, *nbuf, GENERIC_XLOG_FULL_IMAGE);
HnswInitPage(*nbuf, *npage); HnswInitPage(*nbuf, *npage);
/* Update previous buffer */ /* Update previous buffer */
@@ -111,7 +116,7 @@ HnswInsertAppendPage(Relation index, Buffer *nbuf, Page *npage, GenericXLogState
* Add to element and neighbor pages * Add to element and neighbor pages
*/ */
static void static void
WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage) AddElementOnDisk(Relation index, HnswElement e, int m, BlockNumber insertPage, BlockNumber *updatedInsertPage, bool building)
{ {
Buffer buf; Buffer buf;
Page page; Page page;
@@ -123,28 +128,28 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
Size minCombinedSize; Size minCombinedSize;
HnswElementTuple etup; HnswElementTuple etup;
BlockNumber currentPage = insertPage; BlockNumber currentPage = insertPage;
int dimensions = e->vec->dim;
HnswNeighborTuple ntup; HnswNeighborTuple ntup;
Buffer nbuf; Buffer nbuf;
Page npage; Page npage;
OffsetNumber freeOffno = InvalidOffsetNumber; OffsetNumber freeOffno = InvalidOffsetNumber;
OffsetNumber freeNeighborOffno = InvalidOffsetNumber; OffsetNumber freeNeighborOffno = InvalidOffsetNumber;
BlockNumber newInsertPage = InvalidBlockNumber; BlockNumber newInsertPage = InvalidBlockNumber;
char *base = NULL;
/* Calculate sizes */ /* Calculate sizes */
etupSize = HNSW_ELEMENT_TUPLE_SIZE(dimensions); etupSize = HNSW_ELEMENT_TUPLE_SIZE(VARSIZE_ANY(HnswPtrAccess(base, e->value)));
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m); ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(e->level, m);
combinedSize = etupSize + ntupSize + sizeof(ItemIdData); combinedSize = etupSize + ntupSize + sizeof(ItemIdData);
maxSize = BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(HnswPageOpaqueData)); maxSize = HNSW_MAX_SIZE;
minCombinedSize = etupSize + HNSW_NEIGHBOR_TUPLE_SIZE(0, m) + sizeof(ItemIdData); minCombinedSize = etupSize + HNSW_NEIGHBOR_TUPLE_SIZE(0, m) + sizeof(ItemIdData);
/* Prepare element tuple */ /* Prepare element tuple */
etup = palloc0(etupSize); etup = palloc0(etupSize);
HnswSetElementTuple(etup, e); HnswSetElementTuple(base, etup, e);
/* Prepare neighbor tuple */ /* Prepare neighbor tuple */
ntup = palloc0(ntupSize); ntup = palloc0(ntupSize);
HnswSetNeighborTuple(ntup, e, m); HnswSetNeighborTuple(base, ntup, e, m);
/* Find a page (or two if needed) to insert the tuples */ /* Find a page (or two if needed) to insert the tuples */
for (;;) for (;;)
@@ -152,8 +157,16 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
buf = ReadBuffer(index, currentPage); buf = ReadBuffer(index, currentPage);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); if (building)
page = GenericXLogRegisterBuffer(state, buf, 0); {
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
/* Keep track of first page where element at level 0 can fit */ /* Keep track of first page where element at level 0 can fit */
if (!BlockNumberIsValid(newInsertPage) && PageGetFreeSpace(page) >= minCombinedSize) if (!BlockNumberIsValid(newInsertPage) && PageGetFreeSpace(page) >= minCombinedSize)
@@ -173,7 +186,12 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage)) if (HnswFreeOffset(index, buf, page, e, ntupSize, &nbuf, &npage, &freeOffno, &freeNeighborOffno, &newInsertPage))
{ {
if (nbuf != buf) if (nbuf != buf)
npage = GenericXLogRegisterBuffer(state, nbuf, 0); {
if (building)
npage = BufferGetPage(nbuf);
else
npage = GenericXLogRegisterBuffer(state, nbuf, 0);
}
break; break;
} }
@@ -182,7 +200,7 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
/* Skip if both tuples can fit on the same page */ /* Skip if both tuples can fit on the same page */
if (combinedSize > maxSize && PageGetFreeSpace(page) >= etupSize && !BlockNumberIsValid(HnswPageGetOpaque(page)->nextblkno)) if (combinedSize > maxSize && PageGetFreeSpace(page) >= etupSize && !BlockNumberIsValid(HnswPageGetOpaque(page)->nextblkno))
{ {
HnswInsertAppendPage(index, &nbuf, &npage, state, page); HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
break; break;
} }
@@ -191,7 +209,8 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
if (BlockNumberIsValid(currentPage)) if (BlockNumberIsValid(currentPage))
{ {
/* Move to next page */ /* Move to next page */
GenericXLogAbort(state); if (!building)
GenericXLogAbort(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
} }
else else
@@ -199,24 +218,33 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
Buffer newbuf; Buffer newbuf;
Page newpage; Page newpage;
HnswInsertAppendPage(index, &newbuf, &newpage, state, page); HnswInsertAppendPage(index, &newbuf, &newpage, state, page, building);
/* Commit */ /* Commit */
MarkBufferDirty(newbuf); if (building)
MarkBufferDirty(buf); MarkBufferDirty(buf);
GenericXLogFinish(state); else
GenericXLogFinish(state);
/* Unlock previous buffer */ /* Unlock previous buffer */
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
/* Prepare new buffer */ /* Prepare new buffer */
state = GenericXLogStart(index);
buf = newbuf; buf = newbuf;
page = GenericXLogRegisterBuffer(state, buf, 0); if (building)
{
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
/* Create new page for neighbors if needed */ /* Create new page for neighbors if needed */
if (PageGetFreeSpace(page) < combinedSize) if (PageGetFreeSpace(page) < combinedSize)
HnswInsertAppendPage(index, &nbuf, &npage, state, page); HnswInsertAppendPage(index, &nbuf, &npage, state, page, building);
else else
{ {
nbuf = buf; nbuf = buf;
@@ -270,10 +298,14 @@ WriteNewElementPages(Relation index, HnswElement e, int m, BlockNumber insertPag
} }
/* Commit */ /* Commit */
MarkBufferDirty(buf); if (building)
if (nbuf != buf) {
MarkBufferDirty(nbuf); MarkBufferDirty(buf);
GenericXLogFinish(state); if (nbuf != buf)
MarkBufferDirty(nbuf);
}
else
GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
if (nbuf != buf) if (nbuf != buf)
UnlockReleaseBuffer(nbuf); UnlockReleaseBuffer(nbuf);
@@ -307,12 +339,14 @@ ConnectionExists(HnswElement e, HnswNeighborTuple ntup, int startIdx, int lm)
* Update neighbors * Update neighbors
*/ */
void void
HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting) HnswUpdateNeighborsOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement e, int m, bool checkExisting, bool building)
{ {
char *base = NULL;
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);
HnswNeighborArray *neighbors = &e->neighbors[lc]; HnswNeighborArray *neighbors = HnswGetNeighbors(base, e, lc);
for (int i = 0; i < neighbors->length; i++) for (int i = 0; i < neighbors->length; i++)
{ {
@@ -325,11 +359,12 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
Size ntupSize; Size ntupSize;
int idx = -1; int idx = -1;
int startIdx; int startIdx;
OffsetNumber offno = hc->element->neighborOffno; HnswElement neighborElement = HnswPtrAccess(base, hc->element);
OffsetNumber offno = neighborElement->neighborOffno;
/* Get latest neighbors since they may have changed */ /* Get latest neighbors since they may have changed */
/* Do not lock yet since selecting neighbors can take time */ /* Do not lock yet since selecting neighbors can take time */
HnswLoadNeighbors(hc->element, index, m); HnswLoadNeighbors(neighborElement, index, m);
/* /*
* Could improve performance for vacuuming by checking neighbors * Could improve performance for vacuuming by checking neighbors
@@ -339,17 +374,25 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
*/ */
/* Select neighbors */ /* Select neighbors */
HnswUpdateConnection(e, hc, lm, lc, &idx, index, procinfo, collation); 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 */ /* Register page */
buf = ReadBuffer(index, hc->element->neighborPage); buf = ReadBuffer(index, neighborElement->neighborPage);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); if (building)
page = GenericXLogRegisterBuffer(state, buf, 0); {
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
/* Get tuple */ /* Get tuple */
itemid = PageGetItemId(page, offno); itemid = PageGetItemId(page, offno);
@@ -357,7 +400,7 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
ntupSize = ItemIdGetLength(itemid); ntupSize = ItemIdGetLength(itemid);
/* Calculate index for update */ /* Calculate index for update */
startIdx = (hc->element->level - lc) * m; startIdx = (neighborElement->level - lc) * m;
/* Check for existing connection */ /* Check for existing connection */
if (checkExisting && ConnectionExists(e, ntup, startIdx, lm)) if (checkExisting && ConnectionExists(e, ntup, startIdx, lm))
@@ -391,10 +434,12 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf); if (building)
GenericXLogFinish(state); MarkBufferDirty(buf);
else
GenericXLogFinish(state);
} }
else else if (!building)
GenericXLogAbort(state); GenericXLogAbort(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
@@ -406,23 +451,34 @@ HnswUpdateNeighborPages(Relation index, FmgrInfo *procinfo, Oid collation, HnswE
* Add a heap TID to an existing element * Add a heap TID to an existing element
*/ */
static bool static bool
HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup) AddDuplicateOnDisk(Relation index, HnswElement element, HnswElement dup, bool building)
{ {
Buffer buf; Buffer buf;
Page page; Page page;
GenericXLogState *state; GenericXLogState *state;
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(dup->vec->dim); ItemId itemid;
HnswElementTuple etup; HnswElementTuple etup;
Size etupSize;
int i; int i;
/* Read page */ /* Read page */
buf = ReadBuffer(index, dup->blkno); buf = ReadBuffer(index, dup->blkno);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(index); if (building)
page = GenericXLogRegisterBuffer(state, buf, 0); {
state = NULL;
page = BufferGetPage(buf);
}
else
{
state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0);
}
/* Find space */ /* Find space */
etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, dup->offno)); itemid = PageGetItemId(page, dup->offno);
etup = (HnswElementTuple) PageGetItem(page, itemid);
etupSize = ItemIdGetLength(itemid);
for (i = 0; i < HNSW_HEAPTIDS; i++) for (i = 0; i < HNSW_HEAPTIDS; i++)
{ {
if (!ItemPointerIsValid(&etup->heaptids[i])) if (!ItemPointerIsValid(&etup->heaptids[i]))
@@ -432,83 +488,97 @@ HnswAddDuplicate(Relation index, HnswElement element, HnswElement dup)
/* Either being deleted or we lost our chance to another backend */ /* Either being deleted or we lost our chance to another backend */
if (i == 0 || i == HNSW_HEAPTIDS) if (i == 0 || i == HNSW_HEAPTIDS)
{ {
GenericXLogAbort(state); if (!building)
GenericXLogAbort(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
return false; return false;
} }
/* Add heap TID */ /* Add heap TID */
etup->heaptids[i] = *((ItemPointer) linitial(element->heaptids)); etup->heaptids[i] = element->heaptids[0];
/* Overwrite tuple */ /* Overwrite tuple */
if (!PageIndexTupleOverwrite(page, dup->offno, (Item) etup, etupSize)) if (!PageIndexTupleOverwrite(page, dup->offno, (Item) etup, etupSize))
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf); if (building)
GenericXLogFinish(state); MarkBufferDirty(buf);
else
GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
return true; return true;
} }
/* /*
* Write changes to disk * Find duplicate element
*/
static bool
FindDuplicateOnDisk(Relation index, HnswElement element, bool building)
{
char *base = NULL;
HnswNeighborArray *neighbors = HnswGetNeighbors(base, element, 0);
Datum value = HnswGetValue(base, element);
for (int i = 0; i < neighbors->length; i++)
{
HnswCandidate *neighbor = &neighbors->items[i];
HnswElement neighborElement = HnswPtrAccess(base, neighbor->element);
Datum neighborValue = HnswGetValue(base, neighborElement);
/* Exit early since ordered by distance */
if (!datumIsEqual(value, neighborValue, false, -1))
return false;
if (AddDuplicateOnDisk(index, element, neighborElement, building))
return true;
}
return false;
}
/*
* Update graph on disk
*/ */
static void static void
WriteElement(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement dup, HnswElement entryPoint) UpdateGraphOnDisk(Relation index, FmgrInfo *procinfo, Oid collation, HnswElement element, int m, int efConstruction, HnswElement entryPoint, bool building)
{ {
BlockNumber newInsertPage = InvalidBlockNumber; BlockNumber newInsertPage = InvalidBlockNumber;
/* Try to add to existing page */ /* Look for duplicate */
if (dup != NULL) if (FindDuplicateOnDisk(index, element, building))
{ return;
if (HnswAddDuplicate(index, element, dup))
return;
}
/* Write element and neighbor tuples */ /* Add element */
WriteNewElementPages(index, element, m, GetInsertPage(index), &newInsertPage); AddElementOnDisk(index, element, m, GetInsertPage(index), &newInsertPage, building);
/* Update insert page if needed */ /* Update insert page if needed */
if (BlockNumberIsValid(newInsertPage)) if (BlockNumberIsValid(newInsertPage))
HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM); HnswUpdateMetaPage(index, 0, NULL, newInsertPage, MAIN_FORKNUM, building);
/* Update neighbors */ /* Update neighbors */
HnswUpdateNeighborPages(index, procinfo, collation, element, m, false); HnswUpdateNeighborsOnDisk(index, procinfo, collation, element, m, false, building);
/* Update metapage if needed */ /* Update entry point if needed */
if (entryPoint == NULL || element->level > entryPoint->level) if (entryPoint == NULL || element->level > entryPoint->level)
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM); HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, building);
} }
/* /*
* Insert a tuple into the index * Insert a tuple into the index
*/ */
bool bool
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel) HnswInsertTupleOnDisk(Relation index, Datum value, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel, bool building)
{ {
Datum value;
FmgrInfo *normprocinfo;
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); FmgrInfo *procinfo = index_getprocinfo(index, 1, HNSW_DISTANCE_PROC);
Oid collation = index->rd_indcollation[0]; Oid collation = index->rd_indcollation[0];
HnswElement dup;
LOCKMODE lockmode = ShareLock; LOCKMODE lockmode = ShareLock;
char *base = NULL;
/* Detoast once for all calls */
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
/* Normalize if needed */
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
if (normprocinfo != NULL)
{
if (!HnswNormValue(normprocinfo, collation, &value, NULL))
return false;
}
/* /*
* Get a shared lock. This allows vacuum to ensure no in-flight inserts * Get a shared lock. This allows vacuum to ensure no in-flight inserts
@@ -521,8 +591,8 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
HnswGetMetaPageInfo(index, &m, &entryPoint); HnswGetMetaPageInfo(index, &m, &entryPoint);
/* Create an element */ /* Create an element */
element = HnswInitElement(heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m)); element = HnswInitElement(base, heap_tid, m, HnswGetMl(m), HnswGetMaxLevel(m), NULL);
element->vec = DatumGetVector(value); HnswPtrStore(base, element->value, DatumGetPointer(value));
/* Prevent concurrent inserts when likely updating entry point */ /* Prevent concurrent inserts when likely updating entry point */
if (entryPoint == NULL || element->level > entryPoint->level) if (entryPoint == NULL || element->level > entryPoint->level)
@@ -538,14 +608,11 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
entryPoint = HnswGetEntryPoint(index); entryPoint = HnswGetEntryPoint(index);
} }
/* Insert element in graph */ /* Find neighbors for element */
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, false); HnswFindElementNeighbors(base, element, entryPoint, index, procinfo, collation, m, efConstruction, false);
/* Look for duplicate */ /* Update graph on disk */
dup = HnswFindDuplicate(element); UpdateGraphOnDisk(index, procinfo, collation, element, m, efConstruction, entryPoint, building);
/* Write to disk */
WriteElement(index, procinfo, collation, element, m, efConstruction, dup, entryPoint);
/* Release lock */ /* Release lock */
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode); UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
@@ -553,6 +620,30 @@ HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_ti
return true; return true;
} }
/*
* Insert a tuple into the index
*/
static void
HnswInsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
{
Datum value;
FmgrInfo *normprocinfo;
Oid collation = index->rd_indcollation[0];
/* Detoast once for all calls */
value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
/* Normalize if needed */
normprocinfo = HnswOptionalProcInfo(index, HNSW_NORM_PROC);
if (normprocinfo != NULL)
{
if (!HnswNormValue(normprocinfo, collation, &value, NULL))
return;
}
HnswInsertTupleOnDisk(index, value, values, isnull, heap_tid, heapRel, false);
}
/* /*
* Insert a tuple into the index * Insert a tuple into the index
*/ */

View File

@@ -21,6 +21,7 @@ GetScanItems(IndexScanDesc scan, Datum q)
List *w; List *w;
int m; int m;
HnswElement entryPoint; HnswElement entryPoint;
char *base = NULL;
/* Get m and entry point */ /* Get m and entry point */
HnswGetMetaPageInfo(index, &m, &entryPoint); HnswGetMetaPageInfo(index, &m, &entryPoint);
@@ -28,15 +29,15 @@ GetScanItems(IndexScanDesc scan, Datum q)
if (entryPoint == NULL) if (entryPoint == NULL)
return NIL; return NIL;
ep = list_make1(HnswEntryCandidate(entryPoint, q, index, procinfo, collation, false)); ep = list_make1(HnswEntryCandidate(base, entryPoint, q, index, procinfo, collation, false));
for (int lc = entryPoint->level; lc >= 1; lc--) for (int lc = entryPoint->level; lc >= 1; lc--)
{ {
w = HnswSearchLayer(q, ep, 1, lc, index, procinfo, collation, m, false, NULL); w = HnswSearchLayer(base, q, ep, 1, lc, index, procinfo, collation, m, false, NULL);
ep = w; ep = w;
} }
return HnswSearchLayer(q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL); return HnswSearchLayer(base, q, ep, hnsw_ef_search, 0, index, procinfo, collation, m, false, NULL);
} }
/* /*
@@ -113,12 +114,6 @@ hnswbeginscan(Relation index, int nkeys, int norderbys)
scan->opaque = so; scan->opaque = so;
/*
* Get a shared lock. This allows vacuum to ensure no in-flight scans
* before marking tuples as deleted.
*/
LockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
return scan; return scan;
} }
@@ -166,29 +161,43 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
if (scan->orderByData == NULL) if (scan->orderByData == NULL)
elog(ERROR, "cannot scan hnsw index without order"); elog(ERROR, "cannot scan hnsw index without order");
/* Requires MVCC-compliant snapshot as not able to maintain a pin */
/* https://www.postgresql.org/docs/current/index-locking.html */
if (!IsMVCCSnapshot(scan->xs_snapshot))
elog(ERROR, "non-MVCC snapshots are not supported with hnsw");
/* Get scan value */ /* Get scan value */
value = GetScanValue(scan); value = GetScanValue(scan);
/*
* Get a shared lock. This allows vacuum to ensure no in-flight scans
* before marking tuples as deleted.
*/
LockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
so->w = GetScanItems(scan, value); so->w = GetScanItems(scan, value);
/* Release shared lock */
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
so->first = false; so->first = false;
} }
while (list_length(so->w) > 0) while (list_length(so->w) > 0)
{ {
char *base = NULL;
HnswCandidate *hc = llast(so->w); HnswCandidate *hc = llast(so->w);
HnswElement element = HnswPtrAccess(base, hc->element);
ItemPointer heaptid; ItemPointer heaptid;
/* Move to next element if no valid heap TIDs */ /* Move to next element if no valid heap TIDs */
if (list_length(hc->element->heaptids) == 0) if (element->heaptidsLength == 0)
{ {
so->w = list_delete_last(so->w); so->w = list_delete_last(so->w);
continue; continue;
} }
heaptid = llast(hc->element->heaptids); heaptid = &element->heaptids[--element->heaptidsLength];
hc->element->heaptids = list_delete_last(hc->element->heaptids);
MemoryContextSwitchTo(oldCtx); MemoryContextSwitchTo(oldCtx);
@@ -198,15 +207,6 @@ hnswgettuple(IndexScanDesc scan, ScanDirection dir)
scan->xs_ctup.t_self = *heaptid; scan->xs_ctup.t_self = *heaptid;
#endif #endif
/*
* Typically, an index scan must maintain a pin on the index page
* holding the item last returned by amgettuple. However, this is not
* needed with the current vacuum strategy, which ensures scans do not
* visit tuples in danger of being marked as deleted.
*
* https://www.postgresql.org/docs/current/index-locking.html
*/
scan->xs_recheckorderby = false; scan->xs_recheckorderby = false;
return true; return true;
} }
@@ -223,9 +223,6 @@ hnswendscan(IndexScanDesc scan)
{ {
HnswScanOpaque so = (HnswScanOpaque) scan->opaque; HnswScanOpaque so = (HnswScanOpaque) scan->opaque;
/* Release shared lock */
UnlockPage(scan->indexRelation, HNSW_SCAN_LOCK, ShareLock);
MemoryContextDelete(so->tmpCtx); MemoryContextDelete(so->tmpCtx);
pfree(so); pfree(so);

File diff suppressed because it is too large Load Diff

View File

@@ -12,12 +12,9 @@
* Check if deleted list contains an index TID * Check if deleted list contains an index TID
*/ */
static bool static bool
DeletedContains(HTAB *deleted, ItemPointer indextid) DeletedContains(tidhash_hash * deleted, ItemPointer indextid)
{ {
bool found; return tidhash_lookup(deleted, *indextid) != NULL;
hash_search(deleted, indextid, HASH_FIND, &found);
return found;
} }
/* /*
@@ -62,7 +59,8 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
/* Iterate over nodes */ /* Iterate over nodes */
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno)) for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{ {
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno)); ItemId itemid = PageGetItemId(page, offno);
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
int idx = 0; int idx = 0;
bool itemUpdated = false; bool itemUpdated = false;
@@ -93,7 +91,7 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
if (itemUpdated) if (itemUpdated)
{ {
Size etupSize = HNSW_ELEMENT_TUPLE_SIZE(etup->vec.dim); Size etupSize = ItemIdGetLength(itemid);
/* Mark rest as invalid */ /* Mark rest as invalid */
for (int i = idx; i < HNSW_HEAPTIDS; i++) for (int i = idx; i < HNSW_HEAPTIDS; i++)
@@ -109,11 +107,13 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
if (!ItemPointerIsValid(&etup->heaptids[0])) if (!ItemPointerIsValid(&etup->heaptids[0]))
{ {
ItemPointerData ip; ItemPointerData ip;
bool found;
/* Add to deleted list */ /* Add to deleted list */
ItemPointerSet(&ip, blkno, offno); ItemPointerSet(&ip, blkno, offno);
(void) hash_search(vacuumstate->deleted, &ip, HASH_ENTER, NULL); tidhash_insert(vacuumstate->deleted, ip, &found);
Assert(!found);
} }
else if (etup->level > highestLevel && !(entryPoint != NULL && blkno == entryPoint->blkno && offno == entryPoint->offno)) else if (etup->level > highestLevel && !(entryPoint != NULL && blkno == entryPoint->blkno && offno == entryPoint->offno))
{ {
@@ -128,10 +128,7 @@ RemoveHeapTids(HnswVacuumState * vacuumstate)
blkno = HnswPageGetOpaque(page)->nextblkno; blkno = HnswPageGetOpaque(page)->nextblkno;
if (updated) if (updated)
{
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
}
else else
GenericXLogAbort(state); GenericXLogAbort(state);
@@ -202,21 +199,22 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
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);
char *base = NULL;
/* Skip if element is entry point */ /* Skip if element is entry point */
if (entryPoint != NULL && element->blkno == entryPoint->blkno && element->offno == entryPoint->offno) if (entryPoint != NULL && element->blkno == entryPoint->blkno && element->offno == entryPoint->offno)
return; return;
/* Init fields */ /* Init fields */
HnswInitNeighbors(element, m); HnswInitNeighbors(base, element, m, NULL);
element->heaptids = NIL; element->heaptidsLength = 0;
/* Add element to graph, skipping itself */ /* Find neighbors for element, skipping itself */
HnswInsertElement(element, entryPoint, index, procinfo, collation, m, efConstruction, true); HnswFindElementNeighbors(base, element, entryPoint, index, procinfo, collation, m, efConstruction, true);
/* Update neighbor tuple */ /* Update neighbor tuple */
/* Do this before getting page to minimize locking */ /* Do this before getting page to minimize locking */
HnswSetNeighborTuple(ntup, element, m); HnswSetNeighborTuple(base, ntup, element, m);
/* Get neighbor page */ /* Get neighbor page */
buf = ReadBufferExtended(index, MAIN_FORKNUM, element->neighborPage, RBM_NORMAL, bas); buf = ReadBufferExtended(index, MAIN_FORKNUM, element->neighborPage, RBM_NORMAL, bas);
@@ -229,12 +227,11 @@ RepairGraphElement(HnswVacuumState * vacuumstate, HnswElement element, HnswEleme
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
/* Update neighbors */ /* Update neighbors */
HnswUpdateNeighborPages(index, procinfo, collation, element, m, true); HnswUpdateNeighborsOnDisk(index, procinfo, collation, element, m, true, false);
} }
/* /*
@@ -290,7 +287,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
* point is outdated and empty, the entry point will be empty * point is outdated and empty, the entry point will be empty
* until an element is repaired. * until an element is repaired.
*/ */
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM); HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_ALWAYS, highestPoint, InvalidBlockNumber, MAIN_FORKNUM, false);
} }
else else
{ {
@@ -305,7 +302,7 @@ RepairGraphEntryPoint(HnswVacuumState * vacuumstate)
{ {
/* Reset neighbors from previous update */ /* Reset neighbors from previous update */
if (highestPoint != NULL) if (highestPoint != NULL)
highestPoint->neighbors = NULL; HnswPtrStore((char *) NULL, highestPoint->neighbors, (HnswNeighborArrayPtr *) NULL);
RepairGraphElement(vacuumstate, entryPoint, highestPoint); RepairGraphElement(vacuumstate, entryPoint, highestPoint);
} }
@@ -423,7 +420,7 @@ RepairGraph(HnswVacuumState * vacuumstate)
* was replaced and highest point was outdated. * was replaced and highest point was outdated.
*/ */
if (entryPoint == NULL || element->level > entryPoint->level) if (entryPoint == NULL || element->level > entryPoint->level)
HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM); HnswUpdateMetaPage(index, HNSW_UPDATE_ENTRY_GREATER, element, InvalidBlockNumber, MAIN_FORKNUM, false);
/* Release lock */ /* Release lock */
UnlockPage(index, HNSW_UPDATE_LOCK, lockmode); UnlockPage(index, HNSW_UPDATE_LOCK, lockmode);
@@ -481,7 +478,8 @@ MarkDeleted(HnswVacuumState * vacuumstate)
/* Update element and neighbors together */ /* Update element and neighbors together */
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno)) for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{ {
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, PageGetItemId(page, offno)); ItemId itemid = PageGetItemId(page, offno);
HnswElementTuple etup = (HnswElementTuple) PageGetItem(page, itemid);
HnswNeighborTuple ntup; HnswNeighborTuple ntup;
Size etupSize; Size etupSize;
Size ntupSize; Size ntupSize;
@@ -509,7 +507,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
continue; continue;
/* Calculate sizes */ /* Calculate sizes */
etupSize = HNSW_ELEMENT_TUPLE_SIZE(etup->vec.dim); etupSize = ItemIdGetLength(itemid);
ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(etup->level, vacuumstate->m); ntupSize = HNSW_NEIGHBOR_TUPLE_SIZE(etup->level, vacuumstate->m);
/* Get neighbor page */ /* Get neighbor page */
@@ -532,7 +530,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
/* Overwrite element */ /* Overwrite element */
etup->deleted = 1; etup->deleted = 1;
MemSet(&etup->vec.x, 0, etup->vec.dim * sizeof(float)); MemSet(&etup->data, 0, VARSIZE_ANY(&etup->data));
/* Overwrite neighbors */ /* Overwrite neighbors */
for (int i = 0; i < ntup->count; i++) for (int i = 0; i < ntup->count; i++)
@@ -547,9 +545,6 @@ MarkDeleted(HnswVacuumState * vacuumstate)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
/* Commit */ /* Commit */
MarkBufferDirty(buf);
if (nbuf != buf)
MarkBufferDirty(nbuf);
GenericXLogFinish(state); GenericXLogFinish(state);
if (nbuf != buf) if (nbuf != buf)
UnlockReleaseBuffer(nbuf); UnlockReleaseBuffer(nbuf);
@@ -570,7 +565,7 @@ MarkDeleted(HnswVacuumState * vacuumstate)
} }
/* Update insert page last, after everything has been marked as deleted */ /* Update insert page last, after everything has been marked as deleted */
HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM); HnswUpdateMetaPage(index, 0, NULL, insertPage, MAIN_FORKNUM, false);
} }
/* /*
@@ -580,7 +575,6 @@ static void
InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkDeleteResult *stats, IndexBulkDeleteCallback callback, void *callback_state) InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkDeleteResult *stats, IndexBulkDeleteCallback callback, void *callback_state)
{ {
Relation index = info->index; Relation index = info->index;
HASHCTL hash_ctl;
if (stats == NULL) if (stats == NULL)
stats = (IndexBulkDeleteResult *) palloc0(sizeof(IndexBulkDeleteResult)); stats = (IndexBulkDeleteResult *) palloc0(sizeof(IndexBulkDeleteResult));
@@ -602,10 +596,7 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
HnswGetMetaPageInfo(index, &vacuumstate->m, NULL); HnswGetMetaPageInfo(index, &vacuumstate->m, NULL);
/* Create hash table */ /* Create hash table */
hash_ctl.keysize = sizeof(ItemPointerData); vacuumstate->deleted = tidhash_create(CurrentMemoryContext, 256, NULL);
hash_ctl.entrysize = sizeof(ItemPointerData);
hash_ctl.hcxt = CurrentMemoryContext;
vacuumstate->deleted = hash_create("hnswbulkdelete indextids", 256, &hash_ctl, HASH_ELEM | HASH_BLOBS | HASH_CONTEXT);
} }
/* /*
@@ -614,7 +605,7 @@ InitVacuumState(HnswVacuumState * vacuumstate, IndexVacuumInfo *info, IndexBulkD
static void static void
FreeVacuumState(HnswVacuumState * vacuumstate) FreeVacuumState(HnswVacuumState * vacuumstate)
{ {
hash_destroy(vacuumstate->deleted); tidhash_destroy(vacuumstate->deleted);
FreeAccessStrategy(vacuumstate->bas); FreeAccessStrategy(vacuumstate->bas);
pfree(vacuumstate->ntup); pfree(vacuumstate->ntup);
MemoryContextDelete(vacuumstate->tmpCtx); MemoryContextDelete(vacuumstate->tmpCtx);

View File

@@ -506,29 +506,30 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
Buffer buf; Buffer buf;
Page page; Page page;
GenericXLogState *state; GenericXLogState *state;
OffsetNumber offno; Size listSize;
Size itemsz;
IvfflatList list; IvfflatList list;
itemsz = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions)); listSize = MAXALIGN(IVFFLAT_LIST_SIZE(dimensions));
list = palloc(itemsz); list = palloc(listSize);
buf = IvfflatNewBuffer(index, forkNum); buf = IvfflatNewBuffer(index, forkNum);
IvfflatInitRegisterPage(index, &buf, &page, &state); IvfflatInitRegisterPage(index, &buf, &page, &state);
for (int i = 0; i < lists; i++) for (int i = 0; i < lists; i++)
{ {
OffsetNumber offno;
/* Load list */ /* Load list */
list->startPage = InvalidBlockNumber; list->startPage = InvalidBlockNumber;
list->insertPage = InvalidBlockNumber; list->insertPage = InvalidBlockNumber;
memcpy(&list->center, VectorArrayGet(centers, i), VECTOR_SIZE(dimensions)); memcpy(&list->center, VectorArrayGet(centers, i), VECTOR_SIZE(dimensions));
/* Ensure free space */ /* Ensure free space */
if (PageGetFreeSpace(page) < itemsz) if (PageGetFreeSpace(page) < listSize)
IvfflatAppendPage(index, &buf, &page, &state, forkNum); IvfflatAppendPage(index, &buf, &page, &state, forkNum);
/* Add the item */ /* Add the item */
offno = PageAddItem(page, (Item) list, itemsz, InvalidOffsetNumber, false, false); offno = PageAddItem(page, (Item) list, listSize, InvalidOffsetNumber, false, false);
if (offno == InvalidOffsetNumber) if (offno == InvalidOffsetNumber)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
@@ -542,10 +543,10 @@ CreateListPages(Relation index, VectorArray centers, int dimensions,
pfree(list); pfree(list);
} }
#ifdef IVFFLAT_KMEANS_DEBUG
/* /*
* Print k-means metrics * Print k-means metrics
*/ */
#ifdef IVFFLAT_KMEANS_DEBUG
static void static void
PrintKmeansMetrics(IvfflatBuildState * buildstate) PrintKmeansMetrics(IvfflatBuildState * buildstate)
{ {

View File

@@ -40,9 +40,6 @@
#define IVFFLAT_METAPAGE_BLKNO 0 #define IVFFLAT_METAPAGE_BLKNO 0
#define IVFFLAT_HEAD_BLKNO 1 /* first list page */ #define IVFFLAT_HEAD_BLKNO 1 /* first list page */
/* Must correspond to page numbers since page lock is used */
#define IVFFLAT_SCAN_LOCK 0
/* IVFFlat parameters */ /* IVFFlat parameters */
#define IVFFLAT_DEFAULT_LISTS 100 #define IVFFLAT_DEFAULT_LISTS 100
#define IVFFLAT_MIN_LISTS 1 #define IVFFLAT_MIN_LISTS 1
@@ -249,9 +246,6 @@ typedef struct IvfflatScanOpaqueData
int probes; int probes;
int dimensions; int dimensions;
bool first; bool first;
bool hasLock;
Buffer buf;
ItemPointerData heaptid;
/* Sorting */ /* Sorting */
Tuplesortstate *sortstate; Tuplesortstate *sortstate;
@@ -281,7 +275,7 @@ VectorArray VectorArrayInit(int maxlen, int dimensions);
void VectorArrayFree(VectorArray arr); void VectorArrayFree(VectorArray arr);
void PrintVectorArray(char *msg, VectorArray arr); void PrintVectorArray(char *msg, VectorArray arr);
void IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers); void IvfflatKmeans(Relation index, VectorArray samples, VectorArray centers);
FmgrInfo *IvfflatOptionalProcInfo(Relation rel, uint16 procnum); FmgrInfo *IvfflatOptionalProcInfo(Relation index, uint16 procnum);
bool IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result); bool IvfflatNormValue(FmgrInfo *procinfo, Oid collation, Datum *value, Vector * result);
int IvfflatGetLists(Relation index); int IvfflatGetLists(Relation index);
void IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions); void IvfflatGetMetaPageInfo(Relation index, int *lists, int *dimensions);

View File

@@ -11,36 +11,37 @@
* Find the list that minimizes the distance function * Find the list that minimizes the distance function
*/ */
static void static void
FindInsertPage(Relation rel, Datum *values, BlockNumber *insertPage, ListInfo * listInfo) FindInsertPage(Relation index, Datum *values, BlockNumber *insertPage, ListInfo * listInfo)
{ {
Buffer cbuf;
Page cpage;
IvfflatList list;
double distance;
double minDistance = DBL_MAX; double minDistance = DBL_MAX;
BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO; BlockNumber nextblkno = IVFFLAT_HEAD_BLKNO;
FmgrInfo *procinfo; FmgrInfo *procinfo;
Oid collation; Oid collation;
OffsetNumber offno;
OffsetNumber maxoffno;
/* Avoid compiler warning */ /* Avoid compiler warning */
listInfo->blkno = nextblkno; listInfo->blkno = nextblkno;
listInfo->offno = FirstOffsetNumber; listInfo->offno = FirstOffsetNumber;
procinfo = index_getprocinfo(rel, 1, IVFFLAT_DISTANCE_PROC); procinfo = index_getprocinfo(index, 1, IVFFLAT_DISTANCE_PROC);
collation = rel->rd_indcollation[0]; collation = index->rd_indcollation[0];
/* Search all list pages */ /* Search all list pages */
while (BlockNumberIsValid(nextblkno)) while (BlockNumberIsValid(nextblkno))
{ {
cbuf = ReadBuffer(rel, nextblkno); Buffer cbuf;
Page cpage;
OffsetNumber maxoffno;
cbuf = ReadBuffer(index, nextblkno);
LockBuffer(cbuf, BUFFER_LOCK_SHARE); LockBuffer(cbuf, BUFFER_LOCK_SHARE);
cpage = BufferGetPage(cbuf); cpage = BufferGetPage(cbuf);
maxoffno = PageGetMaxOffsetNumber(cpage); maxoffno = PageGetMaxOffsetNumber(cpage);
for (offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno)) for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{ {
IvfflatList list;
double distance;
list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno)); list = (IvfflatList) PageGetItem(cpage, PageGetItemId(cpage, offno));
distance = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, values[0], PointerGetDatum(&list->center))); distance = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, values[0], PointerGetDatum(&list->center)));
@@ -63,7 +64,7 @@ FindInsertPage(Relation rel, Datum *values, BlockNumber *insertPage, ListInfo *
* Insert a tuple into the index * Insert a tuple into the index
*/ */
static void static void
InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel) InsertTuple(Relation index, Datum *values, bool *isnull, ItemPointer heap_tid, Relation heapRel)
{ {
IndexTuple itup; IndexTuple itup;
Datum value; Datum value;
@@ -80,33 +81,33 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
value = PointerGetDatum(PG_DETOAST_DATUM(values[0])); value = PointerGetDatum(PG_DETOAST_DATUM(values[0]));
/* Normalize if needed */ /* Normalize if needed */
normprocinfo = IvfflatOptionalProcInfo(rel, IVFFLAT_NORM_PROC); normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
if (normprocinfo != NULL) if (normprocinfo != NULL)
{ {
if (!IvfflatNormValue(normprocinfo, rel->rd_indcollation[0], &value, NULL)) if (!IvfflatNormValue(normprocinfo, index->rd_indcollation[0], &value, NULL))
return; return;
} }
/* Find the insert page - sets the page and list info */ /* Find the insert page - sets the page and list info */
FindInsertPage(rel, values, &insertPage, &listInfo); FindInsertPage(index, values, &insertPage, &listInfo);
Assert(BlockNumberIsValid(insertPage)); Assert(BlockNumberIsValid(insertPage));
originalInsertPage = insertPage; originalInsertPage = insertPage;
/* Form tuple */ /* Form tuple */
itup = index_form_tuple(RelationGetDescr(rel), &value, isnull); itup = index_form_tuple(RelationGetDescr(index), &value, isnull);
itup->t_tid = *heap_tid; itup->t_tid = *heap_tid;
/* Get tuple size */ /* Get tuple size */
itemsz = MAXALIGN(IndexTupleSize(itup)); itemsz = MAXALIGN(IndexTupleSize(itup));
Assert(itemsz <= BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(IvfflatPageOpaqueData))); Assert(itemsz <= BLCKSZ - MAXALIGN(SizeOfPageHeaderData) - MAXALIGN(sizeof(IvfflatPageOpaqueData)) - sizeof(ItemIdData));
/* Find a page to insert the item */ /* Find a page to insert the item */
for (;;) for (;;)
{ {
buf = ReadBuffer(rel, insertPage); buf = ReadBuffer(index, insertPage);
LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE); LockBuffer(buf, BUFFER_LOCK_EXCLUSIVE);
state = GenericXLogStart(rel); state = GenericXLogStart(index);
page = GenericXLogRegisterBuffer(state, buf, 0); page = GenericXLogRegisterBuffer(state, buf, 0);
if (PageGetFreeSpace(page) >= itemsz) if (PageGetFreeSpace(page) >= itemsz)
@@ -126,9 +127,9 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
Page newpage; Page newpage;
/* Add a new page */ /* Add a new page */
LockRelationForExtension(rel, ExclusiveLock); LockRelationForExtension(index, ExclusiveLock);
newbuf = IvfflatNewBuffer(rel, MAIN_FORKNUM); newbuf = IvfflatNewBuffer(index, MAIN_FORKNUM);
UnlockRelationForExtension(rel, ExclusiveLock); UnlockRelationForExtension(index, ExclusiveLock);
/* Init new page */ /* Init new page */
newpage = GenericXLogRegisterBuffer(state, newbuf, GENERIC_XLOG_FULL_IMAGE); newpage = GenericXLogRegisterBuffer(state, newbuf, GENERIC_XLOG_FULL_IMAGE);
@@ -141,15 +142,13 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
IvfflatPageGetOpaque(page)->nextblkno = insertPage; IvfflatPageGetOpaque(page)->nextblkno = insertPage;
/* Commit */ /* Commit */
MarkBufferDirty(newbuf);
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
/* Unlock previous buffer */ /* Unlock previous buffer */
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
/* Prepare new buffer */ /* Prepare new buffer */
state = GenericXLogStart(rel); state = GenericXLogStart(index);
buf = newbuf; buf = newbuf;
page = GenericXLogRegisterBuffer(state, buf, 0); page = GenericXLogRegisterBuffer(state, buf, 0);
break; break;
@@ -158,13 +157,13 @@ InsertTuple(Relation rel, Datum *values, bool *isnull, ItemPointer heap_tid, Rel
/* Add to next offset */ /* Add to next offset */
if (PageAddItem(page, (Item) itup, itemsz, InvalidOffsetNumber, false, false) == InvalidOffsetNumber) if (PageAddItem(page, (Item) itup, itemsz, InvalidOffsetNumber, false, false) == InvalidOffsetNumber)
elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(rel)); elog(ERROR, "failed to add index item to \"%s\"", RelationGetRelationName(index));
IvfflatCommitBuffer(buf, state); IvfflatCommitBuffer(buf, state);
/* Update the insert page */ /* Update the insert page */
if (insertPage != originalInsertPage) if (insertPage != originalInsertPage)
IvfflatUpdateList(rel, listInfo, insertPage, originalInsertPage, InvalidBlockNumber, MAIN_FORKNUM); IvfflatUpdateList(index, listInfo, insertPage, originalInsertPage, InvalidBlockNumber, MAIN_FORKNUM);
} }
/* /*

View File

@@ -6,6 +6,10 @@
#include "ivfflat.h" #include "ivfflat.h"
#include "miscadmin.h" #include "miscadmin.h"
#ifdef IVFFLAT_MEMORY
#include "utils/memutils.h"
#endif
/* /*
* Initialize with kmeans++ * Initialize with kmeans++
* *
@@ -17,10 +21,6 @@ InitCenters(Relation index, VectorArray samples, VectorArray centers, float *low
FmgrInfo *procinfo; FmgrInfo *procinfo;
Oid collation; Oid collation;
int64 j; int64 j;
double distance;
double sum;
double choice;
Vector *vec;
float *weight = palloc(samples->length * sizeof(float)); float *weight = palloc(samples->length * sizeof(float));
int numCenters = centers->maxlen; int numCenters = centers->maxlen;
int numSamples = samples->length; int numSamples = samples->length;
@@ -33,17 +33,21 @@ InitCenters(Relation index, VectorArray samples, VectorArray centers, float *low
centers->length++; centers->length++;
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
weight[j] = DBL_MAX; weight[j] = FLT_MAX;
for (int i = 0; i < numCenters; i++) for (int i = 0; i < numCenters; i++)
{ {
double sum;
double choice;
CHECK_FOR_INTERRUPTS(); CHECK_FOR_INTERRUPTS();
sum = 0.0; sum = 0.0;
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
{ {
vec = VectorArrayGet(samples, j); Vector *vec = VectorArrayGet(samples, j);
double distance;
/* Only need to compute distance for new center */ /* Only need to compute distance for new center */
/* TODO Use triangle inequality to reduce distance calculations */ /* TODO Use triangle inequality to reduce distance calculations */
@@ -112,7 +116,6 @@ CompareVectors(const void *a, const void *b)
static void static void
QuickCenters(Relation index, VectorArray samples, VectorArray centers) QuickCenters(Relation index, VectorArray samples, VectorArray centers)
{ {
Vector *vec;
int dimensions = centers->dim; int dimensions = centers->dim;
Oid collation = index->rd_indcollation[0]; Oid collation = index->rd_indcollation[0];
FmgrInfo *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC); FmgrInfo *normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_KMEANS_NORM_PROC);
@@ -123,7 +126,7 @@ QuickCenters(Relation index, VectorArray samples, VectorArray centers)
qsort(samples->items, samples->length, VECTOR_SIZE(samples->dim), CompareVectors); qsort(samples->items, samples->length, VECTOR_SIZE(samples->dim), CompareVectors);
for (int i = 0; i < samples->length; i++) for (int i = 0; i < samples->length; i++)
{ {
vec = VectorArrayGet(samples, i); Vector *vec = VectorArrayGet(samples, i);
if (i == 0 || CompareVectors(vec, VectorArrayGet(samples, i - 1)) != 0) if (i == 0 || CompareVectors(vec, VectorArrayGet(samples, i - 1)) != 0)
{ {
@@ -136,7 +139,7 @@ QuickCenters(Relation index, VectorArray samples, VectorArray centers)
/* Fill remaining with random data */ /* Fill remaining with random data */
while (centers->length < centers->maxlen) while (centers->length < centers->maxlen)
{ {
vec = VectorArrayGet(centers, centers->length); Vector *vec = VectorArrayGet(centers, centers->length);
SET_VARSIZE(vec, VECTOR_SIZE(dimensions)); SET_VARSIZE(vec, VECTOR_SIZE(dimensions));
vec->dim = dimensions; vec->dim = dimensions;
@@ -152,6 +155,23 @@ QuickCenters(Relation index, VectorArray samples, VectorArray centers)
} }
} }
#ifdef IVFFLAT_MEMORY
/*
* Show memory usage
*/
static void
ShowMemoryUsage(Size estimatedSize)
{
#if PG_VERSION_NUM >= 130000
elog(INFO, "total memory: %zu MB",
MemoryContextMemAllocated(CurrentMemoryContext, true) / (1024 * 1024));
#else
MemoryContextStats(CurrentMemoryContext);
#endif
elog(INFO, "estimated memory: %zu MB", estimatedSize / (1024 * 1024));
}
#endif
/* /*
* Use Elkan for performance. This requires distance function to satisfy triangle inequality. * Use Elkan for performance. This requires distance function to satisfy triangle inequality.
* *
@@ -168,7 +188,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
Oid collation; Oid collation;
Vector *vec; Vector *vec;
Vector *newCenter; Vector *newCenter;
int iteration;
int64 j; int64 j;
int64 k; int64 k;
int dimensions = centers->dim; int dimensions = centers->dim;
@@ -182,14 +201,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
float *s; float *s;
float *halfcdist; float *halfcdist;
float *newcdist; float *newcdist;
int changes;
double minDistance;
int closestCenter;
double distance;
bool rj;
bool rjreset;
double dxcx;
double dxc;
/* Calculate allocation sizes */ /* Calculate allocation sizes */
Size samplesSize = VECTOR_ARRAY_SIZE(samples->maxlen, samples->dim); Size samplesSize = VECTOR_ARRAY_SIZE(samples->maxlen, samples->dim);
@@ -241,20 +252,24 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
vec->dim = dimensions; vec->dim = dimensions;
} }
#ifdef IVFFLAT_MEMORY
ShowMemoryUsage(totalSize);
#endif
/* Pick initial centers */ /* Pick initial centers */
InitCenters(index, samples, centers, lowerBound); InitCenters(index, samples, centers, lowerBound);
/* Assign each x to its closest initial center c(x) = argmin d(x,c) */ /* Assign each x to its closest initial center c(x) = argmin d(x,c) */
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
{ {
minDistance = DBL_MAX; float minDistance = FLT_MAX;
closestCenter = 0; int closestCenter = 0;
/* Find closest center */ /* Find closest center */
for (k = 0; k < numCenters; k++) for (k = 0; k < numCenters; k++)
{ {
/* TODO Use Lemma 1 in k-means++ initialization */ /* TODO Use Lemma 1 in k-means++ initialization */
distance = lowerBound[j * numCenters + k]; float distance = lowerBound[j * numCenters + k];
if (distance < minDistance) if (distance < minDistance)
{ {
@@ -268,13 +283,14 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
} }
/* Give 500 iterations to converge */ /* Give 500 iterations to converge */
for (iteration = 0; iteration < 500; iteration++) for (int iteration = 0; iteration < 500; iteration++)
{ {
int changes = 0;
bool rjreset;
/* Can take a while, so ensure we can interrupt */ /* Can take a while, so ensure we can interrupt */
CHECK_FOR_INTERRUPTS(); CHECK_FOR_INTERRUPTS();
changes = 0;
/* Step 1: For all centers, compute distance */ /* Step 1: For all centers, compute distance */
for (j = 0; j < numCenters; j++) for (j = 0; j < numCenters; j++)
{ {
@@ -282,7 +298,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
for (k = j + 1; k < numCenters; k++) for (k = j + 1; k < numCenters; k++)
{ {
distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k)))); float distance = 0.5 * DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
halfcdist[j * numCenters + k] = distance; halfcdist[j * numCenters + k] = distance;
halfcdist[k * numCenters + j] = distance; halfcdist[k * numCenters + j] = distance;
} }
@@ -291,10 +308,12 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
/* For all centers c, compute s(c) */ /* For all centers c, compute s(c) */
for (j = 0; j < numCenters; j++) for (j = 0; j < numCenters; j++)
{ {
minDistance = DBL_MAX; float minDistance = FLT_MAX;
for (k = 0; k < numCenters; k++) for (k = 0; k < numCenters; k++)
{ {
float distance;
if (j == k) if (j == k)
continue; continue;
@@ -310,6 +329,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
{ {
bool rj;
/* Step 2: Identify all points x such that u(x) <= s(c(x)) */ /* Step 2: Identify all points x such that u(x) <= s(c(x)) */
if (upperBound[j] <= s[closestCenters[j]]) if (upperBound[j] <= s[closestCenters[j]])
continue; continue;
@@ -318,6 +339,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
for (k = 0; k < numCenters; k++) for (k = 0; k < numCenters; k++)
{ {
float dxcx;
/* Step 3: For all remaining points x and centers c */ /* Step 3: For all remaining points x and centers c */
if (k == closestCenters[j]) if (k == closestCenters[j])
continue; continue;
@@ -347,7 +370,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
/* Step 3b */ /* Step 3b */
if (dxcx > lowerBound[j * numCenters + k] || dxcx > halfcdist[closestCenters[j] * numCenters + k]) if (dxcx > lowerBound[j * numCenters + k] || dxcx > halfcdist[closestCenters[j] * numCenters + k])
{ {
dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k)))); float dxc = DatumGetFloat8(FunctionCall2Coll(procinfo, collation, PointerGetDatum(vec), PointerGetDatum(VectorArrayGet(centers, k))));
/* d(x,c) calculated */ /* d(x,c) calculated */
lowerBound[j * numCenters + k] = dxc; lowerBound[j * numCenters + k] = dxc;
@@ -361,7 +384,6 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
changes++; changes++;
} }
} }
} }
} }
@@ -378,6 +400,8 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
for (j = 0; j < numSamples; j++) for (j = 0; j < numSamples; j++)
{ {
int closestCenter;
vec = VectorArrayGet(samples, j); vec = VectorArrayGet(samples, j);
closestCenter = closestCenters[j]; closestCenter = closestCenters[j];
@@ -426,7 +450,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
{ {
for (k = 0; k < numCenters; k++) for (k = 0; k < numCenters; k++)
{ {
distance = lowerBound[j * numCenters + k] - newcdist[k]; float distance = lowerBound[j * numCenters + k] - newcdist[k];
if (distance < 0) if (distance < 0)
distance = 0; distance = 0;
@@ -442,7 +466,7 @@ ElkanKmeans(Relation index, VectorArray samples, VectorArray centers)
/* Step 7 */ /* Step 7 */
for (j = 0; j < numCenters; j++) for (j = 0; j < numCenters; j++)
memcpy(VectorArrayGet(centers, j), VectorArrayGet(newCenters, j), VECTOR_SIZE(dimensions)); VectorArraySet(centers, j, VectorArrayGet(newCenters, j));
if (changes == 0 && iteration != 0) if (changes == 0 && iteration != 0)
break; break;
@@ -465,9 +489,6 @@ static void
CheckCenters(Relation index, VectorArray centers) CheckCenters(Relation index, VectorArray centers)
{ {
FmgrInfo *normprocinfo; FmgrInfo *normprocinfo;
Oid collation;
Vector *vec;
double norm;
if (centers->length != centers->maxlen) if (centers->length != centers->maxlen)
elog(ERROR, "Not enough centers. Please report a bug."); elog(ERROR, "Not enough centers. Please report a bug.");
@@ -475,7 +496,7 @@ CheckCenters(Relation index, VectorArray centers)
/* Ensure no NaN or infinite values */ /* Ensure no NaN or infinite values */
for (int i = 0; i < centers->length; i++) for (int i = 0; i < centers->length; i++)
{ {
vec = VectorArrayGet(centers, i); Vector *vec = VectorArrayGet(centers, i);
for (int j = 0; j < vec->dim; j++) for (int j = 0; j < vec->dim; j++)
{ {
@@ -501,11 +522,12 @@ CheckCenters(Relation index, VectorArray centers)
normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC); normprocinfo = IvfflatOptionalProcInfo(index, IVFFLAT_NORM_PROC);
if (normprocinfo != NULL) if (normprocinfo != NULL)
{ {
collation = index->rd_indcollation[0]; Oid collation = index->rd_indcollation[0];
for (int i = 0; i < centers->length; i++) for (int i = 0; i < centers->length; i++)
{ {
norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i)))); double norm = DatumGetFloat8(FunctionCall1Coll(normprocinfo, collation, PointerGetDatum(VectorArrayGet(centers, i))));
if (norm == 0) if (norm == 0)
elog(ERROR, "Zero norm detected. Please report a bug."); elog(ERROR, "Zero norm detected. Please report a bug.");
} }

View File

@@ -9,7 +9,6 @@
#include "miscadmin.h" #include "miscadmin.h"
#include "pgstat.h" #include "pgstat.h"
#include "storage/bufmgr.h" #include "storage/bufmgr.h"
#include "storage/lmgr.h"
/* /*
* Compare list distances * Compare list distances
@@ -144,10 +143,6 @@ GetScanItems(IndexScanDesc scan, Datum value)
bool isnull; bool isnull;
ItemId itemid = PageGetItemId(page, offno); ItemId itemid = PageGetItemId(page, offno);
/* Skip dead tuples */
if (scan->ignore_killed_tuples && ItemIdIsDead(itemid))
continue;
itup = (IndexTuple) PageGetItem(page, itemid); itup = (IndexTuple) PageGetItem(page, itemid);
datum = index_getattr(itup, 1, tupdesc, &isnull); datum = index_getattr(itup, 1, tupdesc, &isnull);
@@ -162,8 +157,6 @@ GetScanItems(IndexScanDesc scan, Datum value)
slot->tts_isnull[0] = false; slot->tts_isnull[0] = false;
slot->tts_values[1] = PointerGetDatum(&itup->t_tid); slot->tts_values[1] = PointerGetDatum(&itup->t_tid);
slot->tts_isnull[1] = false; slot->tts_isnull[1] = false;
slot->tts_values[2] = Int32GetDatum((int) searchPage);
slot->tts_isnull[2] = false;
ExecStoreVirtualTuple(slot); ExecStoreVirtualTuple(slot);
tuplesort_puttupleslot(so->sortstate, slot); tuplesort_puttupleslot(so->sortstate, slot);
@@ -188,55 +181,6 @@ GetScanItems(IndexScanDesc scan, Datum value)
tuplesort_performsort(so->sortstate); tuplesort_performsort(so->sortstate);
} }
/*
* Mark prior tuple as dead
*/
static void
MarkPriorTupleDead(IndexScanDesc scan)
{
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
Buffer buf = so->buf;
Page page;
OffsetNumber maxoffno;
/* Safety check */
if (!BufferIsValid(so->buf) || !ItemPointerIsValid(&so->heaptid))
return;
/* Only a shared locked is needed for ItemIdMarkDead */
LockBuffer(buf, BUFFER_LOCK_SHARE);
page = BufferGetPage(buf);
maxoffno = PageGetMaxOffsetNumber(page);
for (OffsetNumber offno = FirstOffsetNumber; offno <= maxoffno; offno = OffsetNumberNext(offno))
{
ItemId itemid = PageGetItemId(page, offno);
IndexTuple itup = (IndexTuple) PageGetItem(page, itemid);
/*
* Find tuple. Since buffer has been pinned, tuple cannot have been
* vacuumed (and heap TID reused).
*/
if (ItemPointerEquals(&itup->t_tid, &so->heaptid))
{
/*
* Make sure tuple has not already been marked dead to avoid extra
* WAL if wal_log_hints or data checksums enabled
*/
if (!ItemIdIsDead(itemid))
{
ItemIdMarkDead(itemid);
MarkBufferDirtyHint(buf, true);
}
break;
}
}
/* Unlock buffer */
LockBuffer(buf, BUFFER_LOCK_UNLOCK);
}
/* /*
* Prepare for an index scan * Prepare for an index scan
*/ */
@@ -262,10 +206,7 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
probes = lists; probes = lists;
so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList)); so = (IvfflatScanOpaque) palloc(offsetof(IvfflatScanOpaqueData, lists) + probes * sizeof(IvfflatScanList));
so->buf = InvalidBuffer;
so->first = true; so->first = true;
so->hasLock = false;
ItemPointerSetInvalid(&so->heaptid);
so->probes = probes; so->probes = probes;
so->dimensions = dimensions; so->dimensions = dimensions;
@@ -276,13 +217,12 @@ ivfflatbeginscan(Relation index, int nkeys, int norderbys)
/* Create tuple description for sorting */ /* Create tuple description for sorting */
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
so->tupdesc = CreateTemplateTupleDesc(3); so->tupdesc = CreateTemplateTupleDesc(2);
#else #else
so->tupdesc = CreateTemplateTupleDesc(3, false); so->tupdesc = CreateTemplateTupleDesc(2, false);
#endif #endif
TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0); TupleDescInitEntry(so->tupdesc, (AttrNumber) 1, "distance", FLOAT8OID, -1, 0);
TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "heaptid", TIDOID, -1, 0); TupleDescInitEntry(so->tupdesc, (AttrNumber) 2, "heaptid", TIDOID, -1, 0);
TupleDescInitEntry(so->tupdesc, (AttrNumber) 3, "indexblkno", INT4OID, -1, 0);
/* Prep sort */ /* Prep sort */
so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false); so->sortstate = tuplesort_begin_heap(so->tupdesc, 1, attNums, sortOperators, sortCollations, nullsFirstFlags, work_mem, NULL, false);
@@ -314,7 +254,6 @@ ivfflatrescan(IndexScanDesc scan, ScanKey keys, int nkeys, ScanKey orderbys, int
#endif #endif
so->first = true; so->first = true;
ItemPointerSetInvalid(&so->heaptid);
pairingheap_reset(so->listQueue); pairingheap_reset(so->listQueue);
if (keys && scan->numberOfKeys > 0) if (keys && scan->numberOfKeys > 0)
@@ -349,12 +288,10 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
if (scan->orderByData == NULL) if (scan->orderByData == NULL)
elog(ERROR, "cannot scan ivfflat index without order"); elog(ERROR, "cannot scan ivfflat index without order");
/* Get a shared lock for non-MVCC snapshots */ /* Requires MVCC-compliant snapshot as not able to pin during sorting */
if (!so->hasLock && !IsMVCCSnapshot(scan->xs_snapshot)) /* https://www.postgresql.org/docs/current/index-locking.html */
{ if (!IsMVCCSnapshot(scan->xs_snapshot))
so->hasLock = true; elog(ERROR, "non-MVCC snapshots are not supported with ivfflat");
LockPage(scan->indexRelation, IVFFLAT_SCAN_LOCK, ShareLock);
}
if (scan->orderByData->sk_flags & SK_ISNULL) if (scan->orderByData->sk_flags & SK_ISNULL)
value = PointerGetDatum(InitVector(so->dimensions)); value = PointerGetDatum(InitVector(so->dimensions));
@@ -379,17 +316,10 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
if (value != scan->orderByData->sk_argument) if (value != scan->orderByData->sk_argument)
pfree(DatumGetPointer(value)); pfree(DatumGetPointer(value));
} }
else
{
/* Mark prior tuple as dead */
if (scan->kill_prior_tuple)
MarkPriorTupleDead(scan);
}
if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL)) if (tuplesort_gettupleslot(so->sortstate, true, false, so->slot, NULL))
{ {
ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull)); ItemPointer heaptid = (ItemPointer) DatumGetPointer(slot_getattr(so->slot, 2, &so->isnull));
BlockNumber indexblkno = DatumGetInt32(slot_getattr(so->slot, 3, &so->isnull));
#if PG_VERSION_NUM >= 120000 #if PG_VERSION_NUM >= 120000
scan->xs_heaptid = *heaptid; scan->xs_heaptid = *heaptid;
@@ -397,21 +327,6 @@ ivfflatgettuple(IndexScanDesc scan, ScanDirection dir)
scan->xs_ctup.t_self = *heaptid; scan->xs_ctup.t_self = *heaptid;
#endif #endif
/* Keep track of info needed to mark tuple as dead */
so->heaptid = *heaptid;
/* Unpin buffer */
if (BufferIsValid(so->buf))
ReleaseBuffer(so->buf);
/*
* An index scan must maintain a pin on the index page holding the
* item last returned by amgettuple
*
* https://www.postgresql.org/docs/current/index-locking.html
*/
so->buf = ReadBuffer(scan->indexRelation, indexblkno);
scan->xs_recheckorderby = false; scan->xs_recheckorderby = false;
return true; return true;
} }
@@ -427,14 +342,6 @@ ivfflatendscan(IndexScanDesc scan)
{ {
IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque; IvfflatScanOpaque so = (IvfflatScanOpaque) scan->opaque;
/* Release pin */
if (BufferIsValid(so->buf))
ReleaseBuffer(so->buf);
/* Release lock */
if (so->hasLock)
UnlockPage(scan->indexRelation, IVFFLAT_SCAN_LOCK, ShareLock);
pairingheap_free(so->listQueue); pairingheap_free(so->listQueue);
tuplesort_end(so->sortstate); tuplesort_end(so->sortstate);

View File

@@ -57,12 +57,12 @@ IvfflatGetLists(Relation index)
* Get proc * Get proc
*/ */
FmgrInfo * FmgrInfo *
IvfflatOptionalProcInfo(Relation rel, uint16 procnum) IvfflatOptionalProcInfo(Relation index, uint16 procnum)
{ {
if (!OidIsValid(index_getprocid(rel, 1, procnum))) if (!OidIsValid(index_getprocid(index, 1, procnum)))
return NULL; return NULL;
return index_getprocinfo(rel, 1, procnum); return index_getprocinfo(index, 1, procnum);
} }
/* /*
@@ -136,7 +136,6 @@ IvfflatInitRegisterPage(Relation index, Buffer *buf, Page *page, GenericXLogStat
void void
IvfflatCommitBuffer(Buffer buf, GenericXLogState *state) IvfflatCommitBuffer(Buffer buf, GenericXLogState *state)
{ {
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
} }
@@ -160,8 +159,6 @@ IvfflatAppendPage(Relation index, Buffer *buf, Page *page, GenericXLogState **st
IvfflatInitPage(newbuf, newpage); IvfflatInitPage(newbuf, newpage);
/* Commit */ /* Commit */
MarkBufferDirty(*buf);
MarkBufferDirty(newbuf);
GenericXLogFinish(*state); GenericXLogFinish(*state);
/* Unlock */ /* Unlock */

View File

@@ -3,7 +3,6 @@
#include "commands/vacuum.h" #include "commands/vacuum.h"
#include "ivfflat.h" #include "ivfflat.h"
#include "storage/bufmgr.h" #include "storage/bufmgr.h"
#include "storage/lmgr.h"
/* /*
* Bulk delete tuples from the index * Bulk delete tuples from the index
@@ -66,10 +65,14 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
vacuum_delay_point(); vacuum_delay_point();
/* Ensure no in-flight index scans for non-MVCC snapshots */
LockPage(index, IVFFLAT_SCAN_LOCK, ExclusiveLock);
buf = ReadBufferExtended(index, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas); buf = ReadBufferExtended(index, MAIN_FORKNUM, searchPage, RBM_NORMAL, bas);
/*
* ambulkdelete cannot delete entries from pages that are
* pinned by other backends
*
* https://www.postgresql.org/docs/current/index-locking.html
*/
LockBufferForCleanup(buf); LockBufferForCleanup(buf);
state = GenericXLogStart(index); state = GenericXLogStart(index);
@@ -104,15 +107,12 @@ ivfflatbulkdelete(IndexVacuumInfo *info, IndexBulkDeleteResult *stats,
{ {
/* Delete tuples */ /* Delete tuples */
PageIndexMultiDelete(page, deletable, ndeletable); PageIndexMultiDelete(page, deletable, ndeletable);
MarkBufferDirty(buf);
GenericXLogFinish(state); GenericXLogFinish(state);
} }
else else
GenericXLogAbort(state); GenericXLogAbort(state);
UnlockReleaseBuffer(buf); UnlockReleaseBuffer(buf);
UnlockPage(index, IVFFLAT_SCAN_LOCK, ExclusiveLock);
} }
/* /*

View File

@@ -89,7 +89,7 @@ CheckDim(int dim)
} }
/* /*
* Ensure finite elements * Ensure finite element
*/ */
static inline void static inline void
CheckElement(float value) CheckElement(float value)
@@ -437,17 +437,18 @@ vector_send(PG_FUNCTION_ARGS)
/* /*
* Convert vector to vector * Convert vector to vector
* This is needed to check the type modifier
*/ */
PGDLLEXPORT PG_FUNCTION_INFO_V1(vector); PGDLLEXPORT PG_FUNCTION_INFO_V1(vector);
Datum Datum
vector(PG_FUNCTION_ARGS) vector(PG_FUNCTION_ARGS)
{ {
Vector *arg = PG_GETARG_VECTOR_P(0); Vector *vec = PG_GETARG_VECTOR_P(0);
int32 typmod = PG_GETARG_INT32(1); int32 typmod = PG_GETARG_INT32(1);
CheckExpectedDim(typmod, arg->dim); CheckExpectedDim(typmod, vec->dim);
PG_RETURN_POINTER(arg); PG_RETURN_POINTER(vec);
} }
/* /*
@@ -464,7 +465,6 @@ array_to_vector(PG_FUNCTION_ARGS)
bool typbyval; bool typbyval;
char typalign; char typalign;
Datum *elemsp; Datum *elemsp;
bool *nullsp;
int nelemsp; int nelemsp;
if (ARR_NDIM(array) > 1) if (ARR_NDIM(array) > 1)
@@ -478,7 +478,7 @@ array_to_vector(PG_FUNCTION_ARGS)
errmsg("array must not contain nulls"))); errmsg("array must not contain nulls")));
get_typlenbyvalalign(ARR_ELEMTYPE(array), &typlen, &typbyval, &typalign); get_typlenbyvalalign(ARR_ELEMTYPE(array), &typlen, &typbyval, &typalign);
deconstruct_array(array, ARR_ELEMTYPE(array), typlen, typbyval, typalign, &elemsp, &nullsp, &nelemsp); deconstruct_array(array, ARR_ELEMTYPE(array), typlen, typbyval, typalign, &elemsp, NULL, &nelemsp);
CheckDim(nelemsp); CheckDim(nelemsp);
CheckExpectedDim(typmod, nelemsp); CheckExpectedDim(typmod, nelemsp);
@@ -512,6 +512,12 @@ array_to_vector(PG_FUNCTION_ARGS)
errmsg("unsupported array type"))); errmsg("unsupported array type")));
} }
/*
* Free allocation from deconstruct_array. Do not free individual elements
* when pass-by-reference since they point to original array.
*/
pfree(elemsp);
/* Check elements */ /* Check elements */
for (int i = 0; i < result->dim; i++) for (int i = 0; i < result->dim; i++)
CheckElement(result->x[i]); CheckElement(result->x[i]);
@@ -718,7 +724,7 @@ vector_spherical_distance(PG_FUNCTION_ARGS)
} }
/* /*
* Get the L1 distance between vectors * Get the L1 distance between two vectors
*/ */
PGDLLEXPORT PG_FUNCTION_INFO_V1(l1_distance); PGDLLEXPORT PG_FUNCTION_INFO_V1(l1_distance);
Datum Datum
@@ -897,8 +903,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_lt);
Datum Datum
vector_lt(PG_FUNCTION_ARGS) vector_lt(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) < 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) < 0);
} }
@@ -910,8 +916,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_le);
Datum Datum
vector_le(PG_FUNCTION_ARGS) vector_le(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) <= 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) <= 0);
} }
@@ -923,8 +929,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_eq);
Datum Datum
vector_eq(PG_FUNCTION_ARGS) vector_eq(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) == 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) == 0);
} }
@@ -936,8 +942,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ne);
Datum Datum
vector_ne(PG_FUNCTION_ARGS) vector_ne(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) != 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) != 0);
} }
@@ -949,8 +955,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_ge);
Datum Datum
vector_ge(PG_FUNCTION_ARGS) vector_ge(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) >= 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) >= 0);
} }
@@ -962,8 +968,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_gt);
Datum Datum
vector_gt(PG_FUNCTION_ARGS) vector_gt(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_BOOL(vector_cmp_internal(a, b) > 0); PG_RETURN_BOOL(vector_cmp_internal(a, b) > 0);
} }
@@ -975,8 +981,8 @@ PGDLLEXPORT PG_FUNCTION_INFO_V1(vector_cmp);
Datum Datum
vector_cmp(PG_FUNCTION_ARGS) vector_cmp(PG_FUNCTION_ARGS)
{ {
Vector *a = (Vector *) PG_GETARG_VECTOR_P(0); Vector *a = PG_GETARG_VECTOR_P(0);
Vector *b = (Vector *) PG_GETARG_VECTOR_P(1); Vector *b = PG_GETARG_VECTOR_P(1);
PG_RETURN_INT32(vector_cmp_internal(a, b)); PG_RETURN_INT32(vector_cmp_internal(a, b));
} }

View File

@@ -83,11 +83,46 @@ for my $i (0 .. $#operators)
push(@expected, $res); push(@expected, $res);
} }
# Add index # Build index serially
$node->safe_psql("postgres", "CREATE INDEX ON tst USING hnsw (v $opclass);"); $node->safe_psql("postgres", qq(
SET max_parallel_maintenance_workers = 0;
CREATE INDEX idx ON tst USING hnsw (v $opclass);
));
# Test approximate results
my $min = $operator eq "<#>" ? 0.80 : 0.99; my $min = $operator eq "<#>" ? 0.80 : 0.99;
test_recall($min, $operator); test_recall($min, $operator);
$node->safe_psql("postgres", "DROP INDEX idx;");
# Build index in parallel in memory
my ($ret, $stdout, $stderr) = $node->psql("postgres", qq(
SET client_min_messages = DEBUG;
SET min_parallel_table_scan_size = 1;
CREATE INDEX idx ON tst USING hnsw (v $opclass);
));
is($ret, 0, $stderr);
like($stderr, qr/using \d+ parallel workers/);
# Test approximate results
test_recall($min, $operator);
$node->safe_psql("postgres", "DROP INDEX idx;");
# Build index in parallel on disk
# Set parallel_workers on table to use workers with low maintenance_work_mem
($ret, $stdout, $stderr) = $node->psql("postgres", qq(
ALTER TABLE tst SET (parallel_workers = 2);
SET client_min_messages = DEBUG;
SET maintenance_work_mem = '4MB';
CREATE INDEX idx ON tst USING hnsw (v $opclass);
ALTER TABLE tst RESET (parallel_workers);
));
is($ret, 0, $stderr);
like($stderr, qr/using \d+ parallel workers/);
like($stderr, qr/hnsw graph no longer fits into maintenance_work_mem/);
$node->safe_psql("postgres", "DROP INDEX idx;");
} }
done_testing(); done_testing();

View File

@@ -1,4 +1,4 @@
comment = 'vector data type and ivfflat and hnsw access methods' comment = 'vector data type and ivfflat and hnsw access methods'
default_version = '0.5.0' default_version = '0.5.1'
module_pathname = '$libdir/vector' module_pathname = '$libdir/vector'
relocatable = true relocatable = true