From 1c80b62c2a412324b3c6fccc8938a6b01d9cf88f Mon Sep 17 00:00:00 2001 From: Qi Chen Date: Mon, 27 Apr 2020 12:21:02 -0500 Subject: [PATCH] FEAT: support cosine similarity (#90) --- README.md | 55 ++++++++++++++++ buildSrc/libKNNIndexV1_7_3_6.jnilib | Bin 5464020 -> 23798984 bytes buildSrc/libKNNIndexV1_7_3_6.so | Bin 4788491 -> 4925976 bytes ...elasticsearch_knn_index_v1736_KNNIndex.cpp | 24 ++++--- ...orelasticsearch_knn_index_v1736_KNNIndex.h | 26 ++------ .../knn/index/KNNIndexCache.java | 2 +- .../knn/index/KNNSettings.java | 31 ++++++++- .../knn/index/KNNVectorFieldMapper.java | 7 ++ .../knn/index/SpaceTypes.java | 52 +++++++++++++++ .../KNN80Codec/KNN80DocValuesConsumer.java | 7 +- .../knn/index/util/KNNConstants.java | 1 + .../knn/index/v1736/KNNIndex.java | 9 +-- .../knn/index/KNNESSettingsTestIT.java | 16 +++++ .../knn/index/KNNJNITests.java | 61 ++++++++++++++++-- 14 files changed, 248 insertions(+), 43 deletions(-) create mode 100644 src/main/java/com/amazon/opendistroforelasticsearch/knn/index/SpaceTypes.java diff --git a/README.md b/README.md index 4313c659..78affb4d 100644 --- a/README.md +++ b/README.md @@ -135,6 +135,57 @@ POST /myindex/_search } ``` +## Cosine Similarity Usage (experimental) + +* Creating KNN index with cosine similarity space type + +``` +PUT /myindex +{ + "settings" : { + "index": { + "knn": true, + "knn.space_type": "cosinesimil" + } + }, + "mappings": { + "properties": { + "my_vector1": { + "type": "knn_vector", + "dimension": 2 + } + } + } +} +``` + +* Indexing sample docs to KNN index + +``` +PUT /myindex/_doc/2?refresh=true +{ + "my_vector1" : [1.5, 2.5], + "price":10 +} +``` + +* Querying K-Nearest neighbors + +``` +POST /myindex/_search +{ + "size" : 10, + "query": { + "knn": { + "my_vector1": { + "vector": [15, 25], + "k": 2 + } + } + } +} +``` + ## Java Native library usage For plugin installations from archive(.zip), it is necessary to ensure ```.so``` file for linux OS and ```.jnilib``` file for Mac OS are present in the java library path. This can be possible by copying .so/.jnilib to either $ES_HOME or by adding manually ```-Djava.library.path=``` in ```jvm.options``` file @@ -145,6 +196,9 @@ You must provide index-level settings when you create the index. If you don't pr ##### index.knn This setting indicates whether the index uses the KNN Codec or not. Possible values are *true*, *false*. Default value is *false*. +##### index.knn.space_type +This setting indicates the similarity metrics between vectors. Supported values are *l2*, *cosinesimil*. *l2* refers to euclidean distance metric; *cosinesimil* refers to cosine similarity. Default value is *l2*. + ##### index.knn.algo_param.m This setting is an HNSW parameter that represents "the number of bi-directional links created for every new element during construction. Reasonable range for M is 2-100. Higher M work better on datasets with high intrinsic dimensionality and/or high recall, while low M work better for datasets with low intrinsic dimensionality and/or low recalls. The parameter also determines the algorithm's memory consumption, which is roughly M * 8-10 bytes per stored element." [nmslib/hnswlib](https://github.com/nmslib/hnswlib/blob/master/ALGO_PARAMS.md) The default value is *16*. @@ -160,6 +214,7 @@ PUT /my_index/_settings { "index" : { "knn": true, + "knn.space_type": "l2", "knn.algo_param.m": 18, "knn.algo_param.ef_search" : 20, "knn.algo_param.ef_construction" : 40 diff --git a/buildSrc/libKNNIndexV1_7_3_6.jnilib b/buildSrc/libKNNIndexV1_7_3_6.jnilib index eacc6b3f8eeeb703cf6b4f53e785ae6a95e46091..f8d538ef74708ea0d27219cbaa4284e7666ff7c5 100755 GIT binary patch literal 23798984 zcmeFa3w&HvwLd%(EBzDB#uK4S!NhCVjzJjMj;=TCm-yxBh zGw0;g?2{#_^nYzD1B=gRXIUTI(O6NgvaOY^=p@-%ti`-reOU)rLt zbLL!eWy?8N1W9ptH}0cwu58vKd>raVU3P&@kHf29qVVc&(gNEtkzJ>u=rgIRa=%!6o<}g*V!!yPtACE*+1$5el!~@*Ur| z%*W@RedXB>dO7`?ZdP~;kJ?2F@qNqiuDo!;d1s$H=ksSTpmvG#OaE^!7C6h5jT3y2 z_IHmE6?uZ*Q+QyOO7Ir`R^heTdVG(<+p`+HbFL8O7sqeN!pq+uR*b^iJxrFTIdd!^ zn;wUk|H>tjGc;Q1$CoJmEE#NV(re!3mtK1LWiBBOZ}8TIk`;v!)dO*Ol-o4^=FFKj z^HayCrq4XtLhe>LiKfk(kXJhPPuF+yaTFG%c`p9O#?lXNzT&(ER~-Dgc^95{_Q5mH zJ@4$M1($#Jym?n%aqz_-{nV!pKBwiPOU^xM!MuYnx#*nZKlQ1Zmz{gw!c!*BnLOvv zIfsAjvzJ|jWB|m!{S%3{dOiS;Wv~&;p1(NJjYg-ua&cm4_nJigj#nneqVeCnX-x7(H!$u|^*5r!+zp(LFiSK@( zJZodR z{|JlYHDYuZst!vW+;YVN5{G~DCQSI)#E+f(1rmkjr$ovRd;QNC^3w7rec_5L&%5+v zAGcLdI*~XCe{6Sd?H3YtyA4Z>x9@HHU7ffv%E(B6_usn|c$Wh2Qs7+*yi0+1Dex`@ z-lf316nK{c?^57h3cO2!cPUVr0?ldf`E>h++O*d?l=fPRX&=9SOVJEpj^IT5+S)T8 zJpW_KeHTmZEq6@Eh-%x;oi$5+0?Qy|kGD+YEkPGt0CY{IqmQGk^G;G}DiwU2LX4 zXl8IWdiAxY6|wh?dQF65#odD{ejT@#(!1b$lDq=~Dwi9r-?V-vpyIPFObo0y0u z1naX2l7z{OnITo)bF$VnX|H1;N|~<)HK(!Wrnfe44oGgsF$o0{1;)n0^x7c3z9fC< zR9Bwyo3MO7NJp~L^9#dIOC)z@zr3aMiO46Blib;{gyo;QfPcJZpxg+WC?BPLy!(xL z^B^KQ;HSD6KQ)>2(Pr8kaiICcDW@g6EPpKr-N6zeTUxNQywu<t9X_K@cdp||0B4_ld9wBLUdJvdVa&d# zCA^LrSJ9VLKf{En{mD!QtnX_0O9{z5i5j3)!c_sS_)Ka`FG!gcd=$*Owe-+G0?Kvp znZ!nsduxH0_n0}SSzs0;rT7d6=}ym+X8psyqIhHo+FP+ffIJE~c|4i@q#Mt;`hEu= z)ARb%tDoIr76ub_?!zC6%<{g}H=_`Eb>q!sK&xXRGEZg&AI*WmU@ZI#UGPB`k)bZH@rJ@hP=4Xt3DLK-9oMT6UoA{3$?;c`5N6WJXlQTb z*ujA8G$O6{0hG4PHR;q#smE5lT%oTu$k?3_G!C-tw(jc<6;T3!o20K(sFOQVwGfEFg=@s&m zS=md_2fY?hM^M8kOZr*B&{9nc`iHnKN=q1Vf-!%5f9ZG=Um0&c6!u4-gAsPbIu?)$ zXG3iTIfWU~HPr<*J)6bh|g zt1UJGRN)J;F%`-_hSk}^A^;4=6ji0OC)EQQ*UH6j(e^u~eQG*zGG9nBjMj;DDAaF} zY>O7+iz@`esucZ@bg_nL!@+1~5k<#lW+Iu7Av5i_c9{dwwRC%HH;J%N;M3Y83mUq` zX^_3%XZv5+BibSJ;t5DUTAIKhd=#1zP|`98cyHDB26>TFjaK4|t5g&6===X}x!yeaDMv6OC@gv~aa**O&dHe%20T#^z6=WOB>l&* z9P|3@z;l|7)=VuVs>I)>&_4Wqz!X0_x$pFZ`q%9n>P!47zZoNWNZP+UjixZJMNk4> zR%<@(t%HHU4@Ay;D($U7#vmNe_O~oTAu4APl5#3i3fv)~ zjw5?+3PYso`7!?!9@@xfPd_WsHYJhlXk-olsK@bc>Hq@bnOr&UOMP}y{-!Oe#TC_rusMPF5h4AUtL zkf*xvkRP!hL}h$WyZDjckVrS84tHIbUT1#MOJ_yR)Ov+_CXg9 zbJZuM6g8bKCCKvKT&j80znYhsG@sRc)u~5n_H37Jc79_vTNEV=ELo75z?Mm77cEcG z7jTY!rXNofa(x|NM$Rz!FYIU9TPd2zdkhe#u=?gb1=D(09sTTLL3pOje(RXP-mlQ~ zl~QfPL6!{_K9HJpjj-XE1J5E)NHb<5a4U2JXL4o7asc!)KO%HX*iU^J`3uVP3!ko# z#)bECI7G_q2sj(Hqt?j584a-bG_k;YFoyU3P%?>+dHU~^hD!24W~6-XjeShz`b8&J z%%4y(zl#1D{O9zA#1}aGKRWF{Fk4`yAR?{MWt%90&}yQ*FiDKbcbyY1uNkVrfw<6u z@R2AA#zM(EDCg^ZvZ_8c+uNT8hmRujB^Y{kBrjsxGH9Ov4acY@pPp8qY`+A9*9)0W zKtE^DSsw-dECrgOw%3{TQWnOue>LEw2F&D}nE*A9xu7}XNqHGSwSH)L^Ly3=7&B2a zQmEEclWt#ws!cV8F=Q0#$>CZJ4fL7s9|I|AU)ylzgN`0TPp{=wuNjRr8ceJ6 zRUaunQv6ijoB+G6syD80>x2G7*?EnBR((ekH4ge(aK~W!$naX(N9mr|G7wm)0cWM6 z(WNT(uLSH`9&70ZZC>phlWnjzIEupVVx=Pt%gm4_=evIF@f_&RhJRPyMLC0LHm)C zF{Wpy&geHjN(>T98aD~c2`9A;q+w*c} z&*@Ss(EHL^Up>g3G_L`Wor!r5t68=DyH7|}Dsss-J+F$1sdot|$V_Jh?$Gk%T(&bY z&q^~eF;^jnCZ?B_Jc-T--6bAlzPYP3SL>>yp9@*gU%@1E>(tQ1X!^>rO!r*0NZ|wf zNn<}l{u#4c*hqswUj+`KiCKn?h`ec^zpi3#&V6B9`bOiY+&ku|pi&PMHM zsfnp0t}lT?&cyUG;gs)@;a3ulS@=?5VnX?>CFiDTKkolJ*^+VMsK41D`GLMK(~lh| zvVkq=$Hnj^RcWj1W2KjyIM4~;{7pdWvQ86jQ*{rJ8mc&C2+j(`aCCM81_8xX)n0QT0~VN;Rna4nA!jaFWe3 z<`H$685FemY20uJofss7bd5j&3nrQKY!}TJUvOQqA&P6HH#u{^0v>|OaP;Q0x7y2G z0tiC)%%q>qJ|khiJz9pQ7%9qU&}6PF>93H-%$NsI0hWkAW~|mTk$QYaz1g;&ze3wu z%Gwx)p&Dr^AF07-)M!G1T*oZ@A9f8Pb3RS$VC`h)dNQN!-Z!zvL~=j1$7zXIlDl<0 z<3PQVtd$ogrcupRxY$;hu%k3R;L1at^4YA$YJu1Bh)ee6kqqZ$8VJU31Rt#+dj3)( zg?j7^g4^umEMH2oaW?u&@-x}x!(g+rfCrm3%U`Nb67HPkJ>@OE3pumkczT&0d3wlv zP>Is*P(TaJLaWsMzSMxPz8C?YfVUa#@4!uLSP;0-|QQN)~k z6nGaJIm{_sQSx?L^vx0R6b9ZfcM~mdY6_0$d>J>yz2n$pc#U-1A2UCjMlQxH)JgN8zn~5o1Jc39e$xg}R@PHU#8ghK z1!gxlOCtyxaJ?5ZBeAW*8#-BN?Kj60G9n&k?0WGp>=JW{J&D@Klh$t=ef+;}rT@$? 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