Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
アルとAlgoliaと私 / alu_algolia
Search
Hikaru Tooyama
May 14, 2019
Business
8
2.4k
アルとAlgoliaと私 / alu_algolia
2019-05-14 Algolia Community Party in Tokyo
Hikaru Tooyama
May 14, 2019
Tweet
Share
More Decks by Hikaru Tooyama
See All by Hikaru Tooyama
Firestore東京リージョン利用に伴う Firebaseプロジェクト移行手順 / alu-firestore #アル
vexus2
8
2.6k
Firestoreを本番運用して得た知見と事件簿 / manga-village
vexus2
6
2.5k
エンジニア向けサービスを提供するチームでの開発環境改善
vexus2
1
1.3k
Other Decks in Business
See All in Business
KENCOPA Company Dec
kurodaaaaaa
0
300
会社紹介資料
gatechnologies
1
100k
VISASQ: ABOUT DEV TEAM
eikohashiba
4
34k
株式会社あるよ_会社紹介資料20250808.pdf
aruyo_mori
0
3.9k
AI活用が促進される上司や社内制度、前提となる環境について(Bizメンバー目線)
stxd1
0
320
Pienyrityksen tietosuojaopas (Harto Pönkä, 2025)
hponka
0
230
株式会社CINC 会社案内/Company introduction
cinchr
6
64k
HENNGE会社紹介資料/company_introduction
hennge
3
180k
CSテラコヤ - 新規プロダクトの市場探索と顧客体験設 計 立ち上げのリアルをお話します 編 / CS Terracoya - Market exploration and customer experience design for new products - The reality of launching
kaminashi
0
150
家族アルバム みてね 事業紹介 / Our Business
familyalbum
5
45k
ペイジェント採用資料
paygent
0
19k
AIエージェント開発は浪漫と算盤
t01062sy
0
150
Featured
See All Featured
Producing Creativity
orderedlist
PRO
347
40k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
161
15k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
Visualization
eitanlees
146
16k
What’s in a name? Adding method to the madness
productmarketing
PRO
23
3.6k
Navigating Team Friction
lara
188
15k
Building a Scalable Design System with Sketch
lauravandoore
462
33k
Statistics for Hackers
jakevdp
799
220k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
7
820
Why You Should Never Use an ORM
jnunemaker
PRO
59
9.5k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
15
1.6k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
31
2.2k
Transcript
1 ΞϧͱAlgoliaͱࢲ Ξϧגࣜձࣾɹԕࢁߊ !WFYVT
2 ࣗݾհ - Ξϧגࣜձࣾ ԕࢁߊ (@vexus2) - ݱ৬Ͱ VP of
Product - גࣜձࣾStorm දऔక - ։ൃίϯαϧςΟϯάۀ(Firebaseͱ͔) - ݩʑBackend(Ruby/PHP)͕ͩ࠷ۙFrontendدΓ - TypeScript / Vue / Nuxt / Firebase ͳͲ - Algoliaྺ16ϲ݄͘Β͍ - ݸਓαʔϏε࡞Δͱ͖ຖճAlgoliaʹσʔλΛೖΕΔͱ͜Ζ͔Β࢝ΊΔ ͘Β͍ͷAlgoliaґଘϢʔβ - झຯϚϯΨΛಡΉ͜ͱ - ࠓಡΜͰ໘ന͔ͬͨͷʮਖ਼ෆಈ࢈ʯʮఱࠃେຐڥʯʮΞΫλʔδϡʯʮONE OUTSʯʮϥϯ ΣΠͰসͬͯʯʮͦͷணͤସ͑ਓܗ࿀Λ͢ΔʯʮαπϦΫϧʔτʯʮͬ͠ΆͷʯʮΑฉ͍ͯ͘Εʯ ʮಓͷѱঁͨͪʯʮβɾϑΝϒϧʯʮ339ʯʮϰΟϯϥϯυɾαΨʯ
3 ࣗݾհ ແྉͰఏڙ͞Ε͍ͯΔອըΛूΊͨʮອըϏϨοδʯΛݸਓͰӡӦɻ ϐʔΫ࣌ͷաڈ30ؒͰ1060ສPV͕͋ΓɺͦͷޙΞϧϦϒϥϯυɻ Xxx ίϛϡχςΟ GoogleͰʮອըଜʯͰݕࡧ͢Δͱ1Ґʹ Yahoo!χϡʔεͷτοϓʹ(هࣄݩɿITmedia)
4 Ξϧͱʁ W
5 Ξϧʹ͍ͭͯ ΞϧϚϯΨϑΝϯͷͨΊʹɺϚϯΨΛൃݟͰ͖ΔศརͳαʔϏεΛఏڙ͢Δ ϚϯΨ୳͠ͷใαʔϏεͰ͢ɻ iOS/Web൛ΛͦΕͧΕఏڙதɻ(Android͏͙͢!)
6 Ұ෦ͷϚϯΨͷίϚ͕ߘɾӾཡ͕Ͱ͖·͢ɻ ֤ग़൛ࣾʹʹڐΛΒ͍ͬͯΔͷͰɺ ߹๏తͳίϚͷߘɾӾཡ͕Ͱ͖ΔαʔϏεͰ͢ɻ Ξϧʹ͍ͭͯ
7 શੈքதʹʮϚϯΨͷσʔλϕʔεʯͱ͍͏ͷ͕ଘࡏ͠ͳ͍ͷͰɺͱʹ͔͘େྔ ͳϚϯΨσʔλΛటष͘ूΊ͍ͯΔσʔλϕʔεͱͯ͠ͷଆ໘͋Γ·͢ɻ ʢΫϩʔϥʔɾೖߘɾਓྗͳͲʣ Ξϧʹ͍ͭͯ
8
9 FirestoreͱAlgoliaͷڞଘ W
10 Firestoreͷલఏ 1. FirestoreFirebaseͷυΩϡϝϯτࢦܗͷεέʔϥϒϧͳNoSQL 2. Queryׂ͕ͱශऑ - `<` >` `==`
`>=` `<=` ͑Δ - != (not equal) ͕ ͑ͳ͍ 3. limit, offsetͷΑ͏ͳ͜ͱ͕Ͱ͖ͳ͍(startAfter, startAt)ͷͰɺ ϖʔδωʔγϣϯͰͷpage=2ͷΑ͏ͳURLͷߏங͕ࠔ
11 Firestoreͷલఏ 4. औಘܶతʹ͘ͳ͍ɻ ࣮ߦڥ ॳճ 2ճҎ߱ us-central 1݅औಘ 892.3ms
202.3ms 20݅औಘ(SubCollection) 864ms 260.8ms asia-northeast1 1݅औಘ 370.3ms 125.6ms 20݅औಘ(SubCollection) 461.3ms 156.4ms ࢼߦճ100ճఔͷ؆қతͳϕϯνϚʔΫͰͷฏۉɻ ࣮ߦωοτϫʔΫڥͳͲʹΑͬͯมΘΔ͕ࢀߟ·Ͱɻ
12 Firestoreͱͷ͍͚
13 Firestore or Algolia? - ͋͘·Ͱσʔλϕʔεͱͯ͠Firestore͕Ϛελ - UniqueͳIDΛࢦఆͯ͠Ұҙʹऔͬͯ͜ΕΔ߹ʹFirestore - ୯ҰϑΟʔϧυͰͷSortQueryͰऔͬͯ͜ΕΔ߹ʹFirestore
- ෳࡶͳQuery݅ಛघͳSort݅(offsetͱؚ͔Ή)ɺPaginationΛؚΉ ߹ʹAlgolia - (Web൛ͳͲͰ)σʔλऔಘͷΛٻΊΔͱ͖ʹAlgolia
14 Ͳ͏͍͏σʔλΛAlgoliaʹ ͚ͬΔ͔
15 σʔλొʹ͍ͭͯ - AlgoliaݕࡧͱผͰϨίʔυͰͷ՝ۚ͋ΔͷͰʮݕࡧʹඞཁͳ࠷ খݶͷςʔϒϧʯͷΈొ - λΠϛϯάCloud Functions(Firebase)ͰFirestoreͷߋ৽τϦΨʔͷؔ Ͱɺߋ৽͞ΕͨσʔλΛAlgoliaʹొ͍ͯ͠Δ -
σʔλෆ߹͕ΠϠͳͷͰɺجຊతʹFirestoreͱಉ͡σʔλΛAlgolia ଆʹίϐʔ͢Δ
16 Algoliaͷخ͍͠ͱ͜Ζ W
17 خ͍͠ͱ͜Ζ: ͱʹ͔͍͘ - ͱʹ͔͘Response͕͍ɻΘ͚͕Θ͔Βͳ͍͘Β͍ʹɻ - 1୯ҐͷMonitoring reportݟͯɺaverage 1ms /
99th percentile 3ms ͱ͔͕βϥʹ͋Δ - աڈ1ͰҰ൪͔ͬͨͷ͕ average5ms / 99th percentile 16ms
18 خ͍͠ͱ͜Ζ: ݕࡧΦϓγϣϯ͕๛ - શҰகɺશจҰகͳͲͷݕࡧΦϓγϣϯ͕๛ͳͷͰʮHITݮΒͯ͠ Ͱਫ਼ͷߴ͍ݕࡧαδΣετʯͷΑ͏ͳ͜ͱ͕ϩδοΫଆͰௐ͢͠ ͍ - `matchLevel` ͱ͍͏ύϥϝʔλ͕ฦ͞ΕΔͷͰશҰகͷ߹͍Λஅ
Ͱ͖Δ - ʮDEATH NOTE (େ͙ͭΈɾখാ݈)ʯͷஶऀؔ࿈࡞ͱͯ͠ҎԼͷΑ͏ ͳ੍ޚָ͕ʹͰ͖Δ - ʮόΫϚϯ(େ͙ͭΈɾখാ݈)ʯදࣔ͢Δ - ʮϓϥνφΤϯυ(େ͙ͭΈɾখാ݈)ʯදࣔ͢Δ - ʮώΧϧͷޟ(΄ͬͨΏΈɾখാ݈)ʯදࣔ͠ͳ͍ - ʢදࣔ͢Δɺͱ͍͏Φϓγϣϯ༰қʹͰ͖Δʣ
19 خ͍͠ͱ͜Ζ: Web্Ͱ΄ͱΜͲΧελϚΠζͰ͖Δ - ݕࡧରͷΧϥϜ໊ɺrank͚ɺσϑΥϧτιʔτɺtypoܥͷڐ༰ൣғɺ Synonym(ಉٛޠ)ɺ۠Γจࣈઃఆɺϖʔδωʔγϣϯઃఆɺresponse ϑΟʔϧυઃఆɺetc… ͕Web্͔ΒઃఆͰ͖Δ
20 خ͍͠ͱ͜Ζ: ͍͍ײ͡ͷϨϙʔτ͕σϑΥϧτͰऔΕΔ - ຖͷݕࡧ No Result Rate, ্Ґݕࡧ No
Result Search ͷ݁ՌͳͲ ͕Index୯ҐͰࣗಈతʹAnalyticsʹೖ͍ͬͯΔɻ - Ξϧͷ߹ʮݕࡧͰHIT͠ͳ͔ͬͨϚϯΨʯͷ্ҐΫΤϦΛݩʹσʔλͷ ֦ॆͳͲͷ؍Ͱ͓͏ͱ͍ͯ͠Δ
21 AlgoliaͷͭΒ͍ͱ͜Ζ W
22 ͭΒ͍ͱ͜Ζ: ຊޠදهΏΕ͕བྷΉͷݸผରԠ - ຊޠͷΏΒ͗ͦ͜·ͰNo CustomizeͰڧ͘ͳ͍ͷͰɺ SynonymΛઃఆ͢Δඞཁ͕͋Δ - ONE PIECEΛʮϫϯϐʔεʯʮΘΜͽʔ͢ʯʮƂƃűƅʯʮONEPIECEʯ
ʮϫϯͽʯΈ͍ͨʹදهΏΕ͕େ͖͍ͱσϑΥϧτͷঢ়ଶͰతͷ ͷ͕HIT͠ͳ͍ - ΞϧͰSynonymΘͣʹϚϯΨͷʮུশʯʮදهΏΕʯٵऩ༻ͷΧ ϥϜ(alias)Λผ్ఆٛͯ͠Algoliaଆʹಉظ͍ͤͯ͞Δɻ
23 ͭΒ͍ͱ͜Ζ: filterपΓ͕ෳࡶ - ORݕࡧANDݕࡧͳͲ݅Λࢦఆ͢ΔʹfilterΛ͏͜ͱʹͳΔ͕ɺएׯ Ϋη͕͋ͬͯ࠷ॳ͔ΓͮΒ͍ɻ - ݅(filter)Λࢦఆ͢Δ߹ʹࣄલʹ Facet(attributesForFaceting)Λઃఆ ͢Δඞཁ͕͋Δ
- AND OR filtersͷதͰϕλͰॻ͘ඞཁ͕͋ΔɻएׯՄಡੑѱ͍ɻ - Boolean ܕ ΛFilter݅ʹೖΕΔͱ͖ʹ true/false Ͱͳ͘ 1/0 Ͱ͢ ඞཁ͕͋Δ
24 ͭΒ͍ͱ͜Ζ: Φϓγϣϯܥ͕߲͕ଟ͍ - QueryपΓΦϓγϣϯ͕๛ʹ͋ΔͷͰɺͰ͖Δ͜ͱΛશ෦Ѳ͢Δͷ͕ େมɾɾɾ - prefixType? advancedSyntax? optionalWords?
ͳʹͦΕʁঢ়ଶʹͳΔ - ෳͷΦϓγϣϯઃఆͨ͠ͱ͖ʹͲ͏͍͏݁ՌʹͳΔͷ͔ʁ͕͛Δલ ʹ૾͠ʹ͍͘͜ͱ͕ଟ͍ɻͷͰɺͻͨ͢Βࢼ͢͜ͱ͕ଟ͍ɻ - ͱʹ͔͘ࡶʹσʔλΛಥͬࠐΜͰऔಘ͢Δ͚ͩͳΒ؆୯ɻෳࡶͳ͜ͱ Ζ͏ͱ͢ΔͱυΩϡϝϯτΛख़ಡ͢ΕେମͳΜͱ͔ͳΔɻ
25 ͭΒ͍ͱ͜Ζ: Ϣʔβ͝ͱͷηΩϡΞͳσʔλ - جຊతʹશϨίʔυ͕ݕࡧରʹͳΔͷͰɺྫ͑ʮϢʔβ͝ͱͷߪೖ ཤྺʯͳͲଞऀͷݕࡧ݁Ռʹදࣔͨ͘͠ͳ͍ͷѻ͍ʹ͍͘ - Solutionͱͯ͠ʮࣗͷߪೖͨ͠ͷ͔͠ݟ͑ͳ͍(=ৗʹࣗͷuserIdͰ ϑΟϧλ)ʯݕࡧʹͳΔAlgoliaͷAPI_KEYΛϢʔβ͝ͱʹൃߦ͢ΔॲཧΛ༻ ҙͯ͠ɺϢʔβ͝ͱʹ֤ࣗͷΩʔͰݕࡧ͢ΔΑ͏ʹ͢ΕՄೳ
- ॲཧ͕͔ͳΓࡶʹͳΔ͠API_KEYͷऔΓճ͠Ͱ࣌ؒऔΒΕΔͷͰ Algoliaͷ͕٘ਜ਼ʹͳΔͷͰɺ͋·Γϕλʔͳײ͡͠ͳ͍ https://firebase.google.com/docs/firestore/solutions/search?hl=ja
26 ·ͱΊ W
27 ·ͱΊ - ͍ɾՁ֨ʢ͔Β͑Δʣɾߴػೳͱࡾഥࢠἧ͍ͬͯΔɻݸਓنͰ શવ͑Δஈଳʢͱ͍͏͔Freeϓϥϯ͋ΔʣͳͷͰϢʔβɾγεςϜ Θͣݕࡧͱ͍͏ߦҝΛߦ͏αʔϏεͰ͋ΕΘͳ͍ཧ༝ͳ͍ɻ - Algolia͍͔Βͦ͜ґଘੑ͕ߴ͍αʔϏεͳͷͰɺͲΜͲΜϨίʔυ ೖΕͯΨϯΨϯݕࡧ͢Δͱ͓ஈͦͦ͜͜ߴ͘ͳΓ͕ͪɻ͝ར༻ܭը తʹ
28