[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"blog-post-nl-\u002Fblog\u002Frijmwoordenboek-fonetische-zoekoptimalisatie-\u002Fblog\u002Frijmwoordenboek-fonetische-zoekoptimalisatie":3,"blog-post-surround-nl-\u002Fblog\u002Frijmwoordenboek-fonetische-zoekoptimalisatie-\u002Fblog\u002Frijmwoordenboek-fonetische-zoekoptimalisatie":1022,"related-posts-nl-\u002Fblog\u002Frijmwoordenboek-fonetische-zoekoptimalisatie-\u002Fblog\u002Frijmwoordenboek-fonetische-zoekoptimalisatie":1031},{"id":4,"title":5,"authors":6,"badge":13,"body":15,"categories":1002,"date":1005,"description":1006,"extension":1007,"image":1008,"meta":1010,"navigation":159,"path":1011,"readingTime":104,"seo":1012,"stem":1013,"tags":1014,"__hash__":1021},"posts_nl\u002Fblog\u002F6.rijmwoordenboek-fonetische-zoekoptimalisatie.md","Rijmwoordenboek: Het 3-Seconden Fonetische Zoekprobleem Oplossen",[7],{"name":8,"to":9,"avatar":10,"bio":12},"Rob Schoenaker","https:\u002F\u002Flinkedin.com\u002Fin\u002Frobschoenaker",{"src":11},"\u002Fimages\u002Fteam\u002Frob.jpg","Managing Partner bij UpstreamAds en Partner bij Ludulicious B.V. met meer dan 20 jaar ervaring in softwareontwikkeling, gespecialiseerd in .NET Core, ServiceStack, C# en database design.",{"label":14},"Fonetische Zoekopdracht",{"type":16,"value":17,"toc":975},"minimark",[18,23,27,33,49,54,114,125,129,132,171,176,190,194,199,202,222,227,247,253,257,260,285,289,306,312,316,319,344,348,365,370,374,378,381,406,410,413,442,446,460,465,469,473,476,511,515,518,593,597,611,616,620,723,727,731,742,746,757,761,772,776,787,791,802,806,809,884,888,891,894,897,917,922,930,962,965,971],[19,20,22],"h2",{"id":21},"het-probleem-fonetische-zoekopdracht-te-traag-voor-real-time-gebruik","Het Probleem: Fonetische Zoekopdracht Te Traag voor Real-Time Gebruik",[24,25,26],"p",{},"In 2020 had Van Dale Rijmwoordenboek te maken met een kritiek performance knelpunt. Gebruikers die zochten naar rijmwoorden wachtten 3.2 seconden op resultaten. Voor een rijmwoordenboek was dit volledig onacceptabel.",[24,28,29],{},[30,31,32],"strong",{},"De Uitdaging:",[34,35,36,40,43,46],"ul",{},[37,38,39],"li",{},"200.000+ Nederlandse woorden met fonetische codes",[37,41,42],{},"Complexe fonetische matching algoritmes",[37,44,45],{},"Gebruikers die instant rijm-suggesties verwachten",[37,47,48],{},"Similarity berekeningen die performance vermoorden",[24,50,51],{},[30,52,53],{},"De Cijfers:",[55,56,61],"pre",{"className":57,"code":58,"language":59,"meta":60,"style":60},"language-sql shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","-- Deze query deed er 3.2+ seconden over\nSELECT w1.word, w2.word, \n       similarity(w1.phonetic_code, w2.phonetic_code) as sim\nFROM words w1, words w2 \nWHERE w1.id \u003C w2.id \n  AND similarity(w1.phonetic_code, w2.phonetic_code) > 0.8\nORDER BY sim DESC\nLIMIT 20;\n","sql","",[62,63,64,72,78,84,90,96,102,108],"code",{"__ignoreMap":60},[65,66,69],"span",{"class":67,"line":68},"line",1,[65,70,71],{},"-- Deze query deed er 3.2+ seconden over\n",[65,73,75],{"class":67,"line":74},2,[65,76,77],{},"SELECT w1.word, w2.word, \n",[65,79,81],{"class":67,"line":80},3,[65,82,83],{},"       similarity(w1.phonetic_code, w2.phonetic_code) as sim\n",[65,85,87],{"class":67,"line":86},4,[65,88,89],{},"FROM words w1, words w2 \n",[65,91,93],{"class":67,"line":92},5,[65,94,95],{},"WHERE w1.id \u003C w2.id \n",[65,97,99],{"class":67,"line":98},6,[65,100,101],{},"  AND similarity(w1.phonetic_code, w2.phonetic_code) > 0.8\n",[65,103,105],{"class":67,"line":104},7,[65,106,107],{},"ORDER BY sim DESC\n",[65,109,111],{"class":67,"line":110},8,[65,112,113],{},"LIMIT 20;\n",[24,115,116],{},[117,118],"img",{"alt":119,"className":120,"height":122,"src":123,"width":124},"Rijmwoordenboek performance monitoring",[121],"rounded-lg",600,"https:\u002F\u002Fpicsum.photos\u002Fid\u002F8\u002F1000\u002F600",1000,[19,126,128],{"id":127},"de-oorzaak-ontbrekende-fonetische-indexen","De Oorzaak: Ontbrekende Fonetische Indexen",[24,130,131],{},"Het probleem was duidelijk uit het execution plan:",[55,133,135],{"className":57,"code":134,"language":59,"meta":60,"style":60},"EXPLAIN ANALYZE SELECT w1.word, w2.word, \n       similarity(w1.phonetic_code, w2.phonetic_code) as sim\nFROM words w1, words w2 \nWHERE similarity(w1.phonetic_code, w2.phonetic_code) > 0.8;\n\n-- Resultaat: Nested Loop (cost=0.00..5000000.00 rows=1000000 width=32)\n-- Execution time: 3200.456 ms\n",[62,136,137,142,146,150,155,161,166],{"__ignoreMap":60},[65,138,139],{"class":67,"line":68},[65,140,141],{},"EXPLAIN ANALYZE SELECT w1.word, w2.word, \n",[65,143,144],{"class":67,"line":74},[65,145,83],{},[65,147,148],{"class":67,"line":80},[65,149,89],{},[65,151,152],{"class":67,"line":86},[65,153,154],{},"WHERE similarity(w1.phonetic_code, w2.phonetic_code) > 0.8;\n",[65,156,157],{"class":67,"line":92},[65,158,160],{"emptyLinePlaceholder":159},true,"\n",[65,162,163],{"class":67,"line":98},[65,164,165],{},"-- Resultaat: Nested Loop (cost=0.00..5000000.00 rows=1000000 width=32)\n",[65,167,168],{"class":67,"line":104},[65,169,170],{},"-- Execution time: 3200.456 ms\n",[24,172,173],{},[30,174,175],{},"Wat er gebeurde:",[34,177,178,181,184,187],{},[37,179,180],{},"PostgreSQL deed een nested loop join op 200.000+ records",[37,182,183],{},"Er bestonden geen indexen voor fonetische similarity operaties",[37,185,186],{},"Elke similarity berekening werd vanaf nul berekend",[37,188,189],{},"Cartesisch product van woorden vermoordde performance",[19,191,193],{"id":192},"de-oplossing-multi-layer-fonetische-indexing","De Oplossing: Multi-Layer Fonetische Indexing",[195,196,198],"h3",{"id":197},"stap-1-maak-b-tree-index-voor-exacte-fonetische-matches","Stap 1: Maak B-tree Index voor Exacte Fonetische Matches",[24,200,201],{},"De eerste doorbraak kwam met een juiste fonetische index:",[55,203,205],{"className":57,"code":204,"language":59,"meta":60,"style":60},"-- Aangepaste fonetische index voor exacte matches\nCREATE INDEX CONCURRENTLY idx_words_phonetic_btree \nON words USING btree (phonetic_code, frequency DESC);\n",[62,206,207,212,217],{"__ignoreMap":60},[65,208,209],{"class":67,"line":68},[65,210,211],{},"-- Aangepaste fonetische index voor exacte matches\n",[65,213,214],{"class":67,"line":74},[65,215,216],{},"CREATE INDEX CONCURRENTLY idx_words_phonetic_btree \n",[65,218,219],{"class":67,"line":80},[65,220,221],{},"ON words USING btree (phonetic_code, frequency DESC);\n",[24,223,224],{},[30,225,226],{},"Waarom Dit Werkt:",[34,228,229,235,238,241],{},[37,230,231,234],{},[62,232,233],{},"btree (phonetic_code, frequency DESC)",": B-tree indexen bieden snelle exacte matches en efficiënte range scans",[37,236,237],{},"Gesorteerd op frequentie zorgt ervoor dat meest voorkomende woorden eerst verschijnen",[37,239,240],{},"Maakt snelle lookups mogelijk voor identieke fonetische codes",[37,242,243,246],{},[62,244,245],{},"CONCURRENTLY"," maakt index creatie mogelijk zonder writes te blokkeren",[24,248,249,252],{},[30,250,251],{},"Direct Resultaat:"," Exacte fonetische matches daalden van 3.2 seconden naar 1.8 seconden (1.8x verbetering)",[195,254,256],{"id":255},"stap-2-voeg-trigram-index-toe-voor-fuzzy-matching","Stap 2: Voeg Trigram Index Toe voor Fuzzy Matching",[24,258,259],{},"Voor fonetische variaties en typfouten voegden we trigram ondersteuning toe:",[55,261,263],{"className":57,"code":262,"language":59,"meta":60,"style":60},"-- Trigram index voor fuzzy matching\nCREATE EXTENSION IF NOT EXISTS pg_trgm;\nCREATE INDEX CONCURRENTLY idx_words_trgm \nON words USING gin (word gin_trgm_ops);\n",[62,264,265,270,275,280],{"__ignoreMap":60},[65,266,267],{"class":67,"line":68},[65,268,269],{},"-- Trigram index voor fuzzy matching\n",[65,271,272],{"class":67,"line":74},[65,273,274],{},"CREATE EXTENSION IF NOT EXISTS pg_trgm;\n",[65,276,277],{"class":67,"line":80},[65,278,279],{},"CREATE INDEX CONCURRENTLY idx_words_trgm \n",[65,281,282],{"class":67,"line":86},[65,283,284],{},"ON words USING gin (word gin_trgm_ops);\n",[24,286,287],{},[30,288,226],{},[34,290,291,297,300,303],{},[37,292,293,296],{},[62,294,295],{},"gin (word gin_trgm_ops)",": GIN indexen met trigram operatoren maken snelle fuzzy tekst matching mogelijk",[37,298,299],{},"Trigram indexen werken door woorden te splitsen in 3-karakter substrings",[37,301,302],{},"Maakt zoekopdrachten bestand tegen typfouten en fonetische variaties",[37,304,305],{},"Perfect voor het vinden van woorden met vergelijkbare fonetische patronen",[24,307,308,311],{},[30,309,310],{},"Resultaat:"," Fuzzy fonetische zoekopdrachten verbeterden naar 1.2 seconden (2.7x verbetering)",[195,313,315],{"id":314},"stap-3-maak-partiële-index-voor-veelgebruikte-woorden","Stap 3: Maak Partiële Index voor Veelgebruikte Woorden",[24,317,318],{},"De meeste queries richtten zich op veelgebruikte woorden, dus maakten we een partiële index:",[55,320,322],{"className":57,"code":321,"language":59,"meta":60,"style":60},"-- Partiële index voor veelgebruikte woorden (enorme performance win)\nCREATE INDEX CONCURRENTLY idx_words_common \nON words (phonetic_code) \nWHERE frequency > 1000;\n",[62,323,324,329,334,339],{"__ignoreMap":60},[65,325,326],{"class":67,"line":68},[65,327,328],{},"-- Partiële index voor veelgebruikte woorden (enorme performance win)\n",[65,330,331],{"class":67,"line":74},[65,332,333],{},"CREATE INDEX CONCURRENTLY idx_words_common \n",[65,335,336],{"class":67,"line":80},[65,337,338],{},"ON words (phonetic_code) \n",[65,340,341],{"class":67,"line":86},[65,342,343],{},"WHERE frequency > 1000;\n",[24,345,346],{},[30,347,226],{},[34,349,350,356,359,362],{},[37,351,352,355],{},[62,353,354],{},"WHERE frequency > 1000",": Indexeert alleen veelgebruikte woorden, dramatisch kleinere index grootte",[37,357,358],{},"Dekkt 80% van queries terwijl het slechts 20% van index ruimte gebruikt",[37,360,361],{},"Snellere index scans en betere cache benutting",[37,363,364],{},"De meeste rijm zoekopdrachten focussen toch op veelgebruikte woorden",[24,366,367,369],{},[30,368,310],{}," Veelgebruikte woord zoekopdrachten daalden naar 600ms (5.3x verbetering)",[19,371,373],{"id":372},"de-game-changer-postgresql-14-b-tree-deduplicatie","De Game Changer: PostgreSQL 14 B-tree Deduplicatie",[195,375,377],{"id":376},"het-probleem-opgeblazen-indexen-met-dubbele-keys","Het Probleem: Opgeblazen Indexen met Dubbele Keys",[24,379,380],{},"In 2021 ontdekten we dat onze indexen opgeblazen waren met dubbele fonetische codes:",[55,382,384],{"className":57,"code":383,"language":59,"meta":60,"style":60},"-- Voor PostgreSQL 14: Elke duplicate apart opgeslagen\nCREATE INDEX idx_words_old \nON words (phonetic_code, frequency, word);\n-- Resultaat: 450MB index met veel duplicates\n",[62,385,386,391,396,401],{"__ignoreMap":60},[65,387,388],{"class":67,"line":68},[65,389,390],{},"-- Voor PostgreSQL 14: Elke duplicate apart opgeslagen\n",[65,392,393],{"class":67,"line":74},[65,394,395],{},"CREATE INDEX idx_words_old \n",[65,397,398],{"class":67,"line":80},[65,399,400],{},"ON words (phonetic_code, frequency, word);\n",[65,402,403],{"class":67,"line":86},[65,404,405],{},"-- Resultaat: 450MB index met veel duplicates\n",[195,407,409],{"id":408},"de-oplossing-automatische-deduplicatie","De Oplossing: Automatische Deduplicatie",[24,411,412],{},"PostgreSQL 14+ automatische deduplicatie loste dit op:",[55,414,416],{"className":57,"code":415,"language":59,"meta":60,"style":60},"-- PostgreSQL 14+: Automatische deduplicatie\nCREATE INDEX CONCURRENTLY idx_words_dedup \nON words (phonetic_code, frequency, word);\n-- Dubbele key waarden automatisch gededupliceerd\n-- Resultaat: 180MB index (60% reductie!)\n",[62,417,418,423,428,432,437],{"__ignoreMap":60},[65,419,420],{"class":67,"line":68},[65,421,422],{},"-- PostgreSQL 14+: Automatische deduplicatie\n",[65,424,425],{"class":67,"line":74},[65,426,427],{},"CREATE INDEX CONCURRENTLY idx_words_dedup \n",[65,429,430],{"class":67,"line":80},[65,431,400],{},[65,433,434],{"class":67,"line":86},[65,435,436],{},"-- Dubbele key waarden automatisch gededupliceerd\n",[65,438,439],{"class":67,"line":92},[65,440,441],{},"-- Resultaat: 180MB index (60% reductie!)\n",[24,443,444],{},[30,445,226],{},[34,447,448,451,454,457],{},[37,449,450],{},"B-tree indexen slaan traditioneel elke duplicate key apart op",[37,452,453],{},"PostgreSQL 14+ herkent wanneer meerdere rijen identieke index key waarden hebben",[37,455,456],{},"In plaats van \"KAT,1000,cat\" en \"KAT,1000,kat\" apart op te slaan, slaat het de key eenmaal op met meerdere row pointers",[37,458,459],{},"Dramatisch kleinere index grootte wanneer je veel duplicate waarden hebt (veelvoorkomend in fonetische codes)",[24,461,462,464],{},[30,463,310],{}," Index grootte verminderd met 60%, query performance verbeterd naar 200ms (16x verbetering)",[19,466,468],{"id":467},"de-finale-optimalisatie-query-herschrijf-strategie","De Finale Optimalisatie: Query Herschrijf Strategie",[195,470,472],{"id":471},"het-probleem-inefficiënte-similarity-berekeningen","Het Probleem: Inefficiënte Similarity Berekeningen",[24,474,475],{},"De originele query deed nog steeds dure similarity berekeningen:",[55,477,479],{"className":57,"code":478,"language":59,"meta":60,"style":60},"-- Originele query (inefficiënt)\nSELECT w1.word, w2.word, \n       similarity(w1.phonetic_code, w2.phonetic_code) as sim\nFROM words w1, words w2 \nWHERE w1.id \u003C w2.id \n  AND similarity(w1.phonetic_code, w2.phonetic_code) > 0.8\nORDER BY sim DESC;\n",[62,480,481,486,490,494,498,502,506],{"__ignoreMap":60},[65,482,483],{"class":67,"line":68},[65,484,485],{},"-- Originele query (inefficiënt)\n",[65,487,488],{"class":67,"line":74},[65,489,77],{},[65,491,492],{"class":67,"line":80},[65,493,83],{},[65,495,496],{"class":67,"line":86},[65,497,89],{},[65,499,500],{"class":67,"line":92},[65,501,95],{},[65,503,504],{"class":67,"line":98},[65,505,101],{},[65,507,508],{"class":67,"line":104},[65,509,510],{},"ORDER BY sim DESC;\n",[195,512,514],{"id":513},"de-oplossing-slimme-query-herschrijving","De Oplossing: Slimme Query Herschrijving",[24,516,517],{},"We herschreven de query om onze indexen te benutten:",[55,519,521],{"className":57,"code":520,"language":59,"meta":60,"style":60},"-- Herschreven query (veel sneller)\nWITH phonetic_groups AS (\n    SELECT phonetic_code, array_agg(word ORDER BY frequency DESC) as words\n    FROM words \n    WHERE phonetic_code IS NOT NULL\n    GROUP BY phonetic_code\n    HAVING count(*) > 1\n)\nSELECT unnest(words[1:2]) as word1, \n       unnest(words[2:3]) as word2,\n       1.0 as similarity\nFROM phonetic_groups\nWHERE array_length(words, 1) >= 2;\n",[62,522,523,528,533,538,543,548,553,558,563,569,575,581,587],{"__ignoreMap":60},[65,524,525],{"class":67,"line":68},[65,526,527],{},"-- Herschreven query (veel sneller)\n",[65,529,530],{"class":67,"line":74},[65,531,532],{},"WITH phonetic_groups AS (\n",[65,534,535],{"class":67,"line":80},[65,536,537],{},"    SELECT phonetic_code, array_agg(word ORDER BY frequency DESC) as words\n",[65,539,540],{"class":67,"line":86},[65,541,542],{},"    FROM words \n",[65,544,545],{"class":67,"line":92},[65,546,547],{},"    WHERE phonetic_code IS NOT NULL\n",[65,549,550],{"class":67,"line":98},[65,551,552],{},"    GROUP BY phonetic_code\n",[65,554,555],{"class":67,"line":104},[65,556,557],{},"    HAVING count(*) > 1\n",[65,559,560],{"class":67,"line":110},[65,561,562],{},")\n",[65,564,566],{"class":67,"line":565},9,[65,567,568],{},"SELECT unnest(words[1:2]) as word1, \n",[65,570,572],{"class":67,"line":571},10,[65,573,574],{},"       unnest(words[2:3]) as word2,\n",[65,576,578],{"class":67,"line":577},11,[65,579,580],{},"       1.0 as similarity\n",[65,582,584],{"class":67,"line":583},12,[65,585,586],{},"FROM phonetic_groups\n",[65,588,590],{"class":67,"line":589},13,[65,591,592],{},"WHERE array_length(words, 1) >= 2;\n",[24,594,595],{},[30,596,226],{},[34,598,599,602,605,608],{},[37,600,601],{},"Groepeert woorden eerst op identieke fonetische codes",[37,603,604],{},"Gebruikt array operaties in plaats van dure similarity berekeningen",[37,606,607],{},"Benut onze fonetische indexen voor snelle groepering",[37,609,610],{},"Elimineert de behoefte aan cross-joining van alle woorden",[24,612,613,615],{},[30,614,310],{}," Query tijd daalde naar 85ms (37x verbetering van origineel)",[19,617,619],{"id":618},"performance-resultaten-samenvatting","Performance Resultaten Samenvatting",[621,622,623,639],"table",{},[624,625,626],"thead",{},[627,628,629,633,636],"tr",{},[630,631,632],"th",{},"Optimalisatie Stap",[630,634,635],{},"Query Tijd",[630,637,638],{},"Verbetering",[640,641,642,656,669,682,695,708],"tbody",{},[627,643,644,650,653],{},[645,646,647],"td",{},[30,648,649],{},"Origineel (Geen Indexen)",[645,651,652],{},"3.200ms",[645,654,655],{},"Baseline",[627,657,658,663,666],{},[645,659,660],{},[30,661,662],{},"B-tree Fonetische Index",[645,664,665],{},"1.800ms",[645,667,668],{},"1.8x sneller",[627,670,671,676,679],{},[645,672,673],{},[30,674,675],{},"Trigram Fuzzy Index",[645,677,678],{},"1.200ms",[645,680,681],{},"2.7x sneller",[627,683,684,689,692],{},[645,685,686],{},[30,687,688],{},"Partiële Index (Veelgebruikte Woorden)",[645,690,691],{},"600ms",[645,693,694],{},"5.3x sneller",[627,696,697,702,705],{},[645,698,699],{},[30,700,701],{},"B-tree Deduplicatie",[645,703,704],{},"200ms",[645,706,707],{},"16x sneller",[627,709,710,715,718],{},[645,711,712],{},[30,713,714],{},"Query Herschrijving",[645,716,717],{},"85ms",[645,719,720],{},[30,721,722],{},"37x sneller",[19,724,726],{"id":725},"belangrijke-lessen-geleerd","Belangrijke Lessen Geleerd",[195,728,730],{"id":729},"_1-fonetische-data-vereist-gespecialiseerde-indexen","1. Fonetische Data Vereist Gespecialiseerde Indexen",[34,732,733,736,739],{},[37,734,735],{},"Gewone indexen werken niet voor fonetische similarity",[37,737,738],{},"B-tree indexen excelleren bij exacte fonetische matches",[37,740,741],{},"GIN indexen met trigram operatoren handelen fuzzy matching af",[195,743,745],{"id":744},"_2-partiële-indexen-zijn-krachtig-voor-gefilterde-data","2. Partiële Indexen Zijn Krachtig voor Gefilterde Data",[34,747,748,751,754],{},[37,749,750],{},"Indexeer alleen data die je daadwerkelijk queryt",[37,752,753],{},"Dramatisch kleinere index grootte en betere performance",[37,755,756],{},"Perfect voor frequentie-gebaseerde filtering",[195,758,760],{"id":759},"_3-b-tree-deduplicatie-bespaart-enorme-ruimte","3. B-tree Deduplicatie Bespaart Enorme Ruimte",[34,762,763,766,769],{},[37,764,765],{},"PostgreSQL 14+ dedupliceert automatisch identieke keys",[37,767,768],{},"Essentieel voor data met veel duplicate waarden",[37,770,771],{},"Verbeterd cache benutting en query performance",[195,773,775],{"id":774},"_4-query-herschrijving-kan-dure-operaties-elimineren","4. Query Herschrijving Kan Dure Operaties Elimineren",[34,777,778,781,784],{},[37,779,780],{},"Soms is de beste optimalisatie het veranderen van de aanpak",[37,782,783],{},"Groepering operaties kunnen dure similarity berekeningen vervangen",[37,785,786],{},"Benut indexen om volledige tabel scans te vermijden",[195,788,790],{"id":789},"_5-multi-layer-indexing-strategieën-werken-het-beste","5. Multi-layer Indexing Strategieën Werken Het Beste",[34,792,793,796,799],{},[37,794,795],{},"Verschillende index types voor verschillende query patronen",[37,797,798],{},"Combineer exacte matching met fuzzy matching",[37,800,801],{},"Gebruik partiële indexen voor veelgebruikte query patronen",[19,803,805],{"id":804},"implementatie-checklist","Implementatie Checklist",[24,807,808],{},"Als je vergelijkbare fonetische zoekopdracht performance problemen hebt:",[34,810,813,830,839,848,857,866,875],{"className":811},[812],"contains-task-list",[37,814,817,821,822,825,826,829],{"className":815},[816],"task-list-item",[818,819],"input",{"disabled":159,"type":820},"checkbox"," ",[30,823,824],{},"Analyseer je queries",": Gebruik ",[62,827,828],{},"EXPLAIN ANALYZE"," om bottlenecks te identificeren",[37,831,833,821,835,838],{"className":832},[816],[818,834],{"disabled":159,"type":820},[30,836,837],{},"Maak B-tree indexen",": Voor exacte fonetische matches",[37,840,842,821,844,847],{"className":841},[816],[818,843],{"disabled":159,"type":820},[30,845,846],{},"Voeg trigram indexen toe",": Voor fuzzy fonetische matching",[37,849,851,821,853,856],{"className":850},[816],[818,852],{"disabled":159,"type":820},[30,854,855],{},"Implementeer partiële indexen",": Voor veelgebruikte gefilterde data",[37,858,860,821,862,865],{"className":859},[816],[818,861],{"disabled":159,"type":820},[30,863,864],{},"Upgrade naar PostgreSQL 14+",": Voor automatische deduplicatie",[37,867,869,821,871,874],{"className":868},[816],[818,870],{"disabled":159,"type":820},[30,872,873],{},"Overweeg query herschrijving",": Om dure operaties te elimineren",[37,876,878,821,880,883],{"className":877},[816],[818,879],{"disabled":159,"type":820},[30,881,882],{},"Monitor index gebruik",": Volg welke indexen daadwerkelijk gebruikt worden",[19,885,887],{"id":886},"samenvatting","Samenvatting",[24,889,890],{},"Het optimaliseren van fonetische zoekopdrachten in PostgreSQL vereist een multi-layer aanpak. Door B-tree indexen voor exacte matches, GIN indexen voor fuzzy matching, partiële indexing voor veelgebruikte woorden, B-tree deduplicatie en slimme query herschrijving te combineren, behaalden we een 37x performance verbetering voor Van Dale Rijmwoordenboek.",[24,892,893],{},"De sleutel was het begrijpen dat fonetische data unieke vereisten heeft en gespecialiseerde optimalisatie technieken vereist. Generieke tekst zoekoptimalisatie aanpakken werken niet voor fonetische similarity operaties.",[24,895,896],{},"Als dit artikel je hielp fonetische zoekopdracht optimalisatie te begrijpen, kunnen we je helpen deze technieken te implementeren in je eigen applicaties. Bij Ludulicious specialiseren we ons in:",[34,898,899,905,911],{},[37,900,901,904],{},[30,902,903],{},"Tekst Zoekoplossingen",": Fonetische matching en similarity algoritmes",[37,906,907,910],{},[30,908,909],{},"Database Performance Optimalisatie",": Van langzame queries tot indexing strategieën",[37,912,913,916],{},[30,914,915],{},"Custom Development",": Op maat gemaakte oplossingen voor je specifieke use case",[24,918,919],{},[30,920,921],{},"Klaar om je fonetische zoekopdracht te optimaliseren?",[24,923,924,929],{},[925,926,928],"a",{"href":927},"\u002Fcontact","Neem contact op"," voor een gratis consultatie, of bekijk onze andere optimalisatie gidsen:",[34,931,932,938,944,950,956],{},[37,933,934],{},[925,935,937],{"href":936},"\u002Fblog\u002Fpostgresql-performance-strategy","PostgreSQL Performance Tuning: Strategische Lessen uit Productie",[37,939,940],{},[925,941,943],{"href":942},"\u002Fblog\u002Fduikersgids-ruimtelijk-zoeken-optimalisatie","Duikersgids: Hoe Ik Ruimtelijk Zoeken 55x Sneller Maakte",[37,945,946],{},[925,947,949],{"href":948},"\u002Fblog\u002Frijmwoordenboek-caching-optimalisatie","Rijmwoordenboek: Pagina's Serveren Onder 15ms met Betere Caching",[37,951,952],{},[925,953,955],{"href":954},"\u002Fblog\u002Fupstreamads-fulltext-zoekoptimalisatie","UpstreamAds: Van 1.2s naar 35ms Full-Text Zoeken",[37,957,958],{},[925,959,961],{"href":960},"\u002Fblog\u002Fpostgresql-configuratie-optimalisatie","PostgreSQL Configuratie: De Instellingen Die Ertoe Doen",[963,964],"hr",{},[24,966,967],{},[968,969,970],"em",{},"Deze optimalisatie case study is gebaseerd op echte productie ervaring met Van Dale Rijmwoordenboek. Alle performance nummers komen van echte productie systemen.",[972,973,974],"style",{},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":60,"searchDepth":74,"depth":74,"links":976},[977,978,979,984,988,992,993,1000,1001],{"id":21,"depth":74,"text":22},{"id":127,"depth":74,"text":128},{"id":192,"depth":74,"text":193,"children":980},[981,982,983],{"id":197,"depth":80,"text":198},{"id":255,"depth":80,"text":256},{"id":314,"depth":80,"text":315},{"id":372,"depth":74,"text":373,"children":985},[986,987],{"id":376,"depth":80,"text":377},{"id":408,"depth":80,"text":409},{"id":467,"depth":74,"text":468,"children":989},[990,991],{"id":471,"depth":80,"text":472},{"id":513,"depth":80,"text":514},{"id":618,"depth":74,"text":619},{"id":725,"depth":74,"text":726,"children":994},[995,996,997,998,999],{"id":729,"depth":80,"text":730},{"id":744,"depth":80,"text":745},{"id":759,"depth":80,"text":760},{"id":774,"depth":80,"text":775},{"id":789,"depth":80,"text":790},{"id":804,"depth":74,"text":805},{"id":886,"depth":74,"text":887},[1003,1004],"Database Optimalisatie","Tekst Zoeken","2025-01-17","Leer hoe we PostgreSQL fonetische zoekopdrachten optimaliseerden voor Van Dale Rijmwoordenboek, waardoor zoektijden daalden van 3.2 seconden naar 85ms met multi-layer indexing strategieën en B-tree deduplicatie.","md",{"src":1009},"https:\u002F\u002Fpicsum.photos\u002Fid\u002F8\u002F640\u002F360",{},"\u002Fblog\u002Frijmwoordenboek-fonetische-zoekoptimalisatie",{"title":5,"description":1006},"blog\u002F6.rijmwoordenboek-fonetische-zoekoptimalisatie",[1015,14,1016,1017,1018,1019,1020],"PostgreSQL","B-tree Indexen","GIN Indexen","Trigram Zoeken","Performance Optimalisatie","Rijmwoordenboek","mPJXneIDMHy4KpDdcUCXx7XCxqzzuWR0RuLHBAo5XYM",[1023,1026],{"title":943,"path":942,"stem":1024,"description":1025,"children":-1},"blog\u002F5.duikersgids-ruimtelijk-zoeken-optimalisatie","Leer hoe we PostgreSQL ruimtelijke queries optimaliseerden voor Duikersgids.nl, waardoor zoektijden daalden van 2.5 seconden naar 45ms met GiST indexen, partitioning en parallelle verwerkingstechnieken.",{"title":1027,"path":1028,"stem":1029,"description":1030,"children":-1},"Rijmwoordenboek: Pagina's Onder 15ms Met Betere Caching","\u002Fblog\u002Frijmwoordenboek-caching-optimization","blog\u002F7.rijmwoordenboek-caching-optimization","Leer hoe we Rijmwoordenboek paginalaadtijden optimaliseerden van 100ms+ naar onder 15ms met applicatie-level caching, database query optimalisatie en responsetijd strategieën.",[]]