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
月間10億PVから学んだMongoDBアンチパターン
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
yujiosaka
November 11, 2014
Technology
5.6k
19
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
月間10億PVから学んだMongoDBアンチパターン
ZenClerkが月間10億PVを支えるまでの 過程で経験したアンチパターンを紹介
yujiosaka
November 11, 2014
More Decks by yujiosaka
See All by yujiosaka
I was understanding WASM all wrong! 🤯
yujiosaka
2
340
Machine Learning with JavaScript
yujiosaka
0
230
JavaScriptでも機械学習がやりたかった話
yujiosaka
2
500
ヘッドレスChromeでクローラを作った後の話
yujiosaka
3
750
俺が最初にヘッドレスChromeでクローラ作った 事になんねーかな
yujiosaka
4
1.4k
『XXX』のための管理画面
yujiosaka
1
1.5k
Enjoy Deep Learning by JavaScript
yujiosaka
1
400
ひたすら楽してディープラーニング
yujiosaka
20
13k
technology x business
yujiosaka
3
610
Other Decks in Technology
See All in Technology
【CEDEC2026】Creative Approaches to Localizing the Dialects and Unique Speech of Umamusume: Pretty Derby Characters in English
cygames
PRO
3
25k
Genie Codeハンズオン基礎編
taka_aki
1
130
JavaScript 研修 (2026)
recruitengineers
PRO
2
630
なぜ Temporal の大小比較には compare しかないのか / Why Does Temporal Only Have compare() for Comparisons
kazukihayase
1
160
Sets in Go
ramalho
1
1k
AWS ネットワーク構築でハマった(ハマりかけた) 5選とそこから得た教訓
nagisa53
4
270
Sansan Engineering Unit 紹介資料
sansan33
PRO
1
5k
AIコーディングの次。コードレビューと理解負荷を解消して組織の開発生産性を高める
moongift
PRO
2
2.7k
トヨタ⽣産⽅式(TPS)⼊⾨
recruitengineers
PRO
3
1k
Eight Engineering Unit 紹介資料
sansan33
PRO
3
8.2k
攻撃と防御で学ぶAI時代のプロダクトセキュリティ演習
recruitengineers
PRO
9
3.1k
猫付きpingコマンドを自作
uyuki234
0
260
Featured
See All Featured
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
500
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
2.1k
The Pragmatic Product Professional
lauravandoore
37
7.4k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.5k
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
2
1.6k
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
580
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
0
370
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
25
2k
Discover your Explorer Soul
emna__ayadi
2
1.3k
How To Speak Unicorn (iThemes Webinar)
marktimemedia
1
530
Transcript
݄ؒ10ԯPV͔ΒֶΜͩ MongoDBΞϯνύλʔϯ db tech showcase ౦ژ 2014 speaker: “Yuji Isobe”
history: [ “violinist” “engineer” “security specialist” “socket.io contributor” “startup member
of ZenClerk ” ] name: “Yuji Isobe”
questions: -> MongoDBΛ༻ͨ͜͠ͱ͕͋Γ·͔͢ʁ -> ຊ൪ڥͰMongoDBΛ༻͍ͯ͠·͔͢ʁ
goal: -> ZenClerk͕݄ؒ10ԯPVΛࢧ͑Δ·Ͱͷ աఔͰܦݧͨ͠ΞϯνύλʔϯΛհ -> ओʹύϑΥʔϚϯενϡʔχϯάͷ ->ʮ݄ؒ10ԯPVΛࢧ͑ΔMongoDBʯͷͦͷઌ IUUQXXXTMJEFTIBSFOFUZVKJPTBLBQWNPOHPEC
None
ϦΞϧλΠϜ
ϦΞϧλΠϜੳ Ϗοάσʔλ
db.ZenClerk .stats() -> ݄ؒ10ԯPV -> ඵؒ400PV -> ಉ࣌ଓ5ສ -> ݄ؒ10TBอଘ
architecture: front-end: [ “AngularJS” “Ruby on Rails” “MySQL” “memcached” “AWS”
] back-end: [ “Node.js” “MongoDB” “socket.io” “Redis” “AWS” ]
architecture: front-end: [ “AngularJS” “Ruby on Rails” “MySQL” “memcached” “AWS”
] back-end: [ “Node.js” “MongoDB” “socket.io” “Redis” “AWS” ]
i2.2xlarge m1.large m3.large db.ZenClerk .aggregate() r3.large
ʙ1000ສPV mogngod
1000ສʙ1ԯPV delayed replica replica set
1ԯPVʙ10ԯPV replica set shard mongos replica set shard replica set
shard delayed replica delayed replica delayed replica mongoc
͜͜·ͰΞϓϦέʔγϣϯͷมߋ ΄ͱΜͲͳ͠ʢҰ෦ΫΤϦΛ࠷దԽʣ
we.use(“MongoDB”).explain() -> εΩʔϚϨε -> τϥϯβΫγϣϯෆཁ ʢ࠷ݶͷΞτϛοΫૢ࡞ʣ -> ॊೈͳΫΤϦ -> ༰қͳεέʔϧΞτ
-> Node.jsͱͷ૬ੑͷྑ͞
we.use(“MongoDB”).explain(true) -> ಋೖͷ༰қ͞ʢϗεςΟϯάαʔϏε༗ແʣ -> ֶशͷ༰қ͞ʢΤϯδχΞҎ֎ʹͱͬͯʣ
ࠓ͢ͷɾɾɾ ϕετϓϥΫςΟε Ξϯνύλʔϯ
ͪ͜Βʂ ϕετϓϥΫςΟε Ξϯνύλʔϯ
Ͱͦͷલʹɾɾɾ
ϕετϓϥΫςΟε
εΩʔϚσβΠϯ -> TwitterͷλΠϜϥΠϯΛอଘ͢Δ -> RDBMSͳΒਖ਼نԽ -> MongoDBͷϕετϓϥΫςΟεʁ
-> ಡΈࠐΈॏࢹ -> 1ΫΤϦ1ώοτ -> ίϝϯτʹԠͯ͡ ॻ͖ࠐΈ͕ॏ͘ͳΔ υΩϡϝϯτΛຒΊࠐΉ session: _id:
“session_id” device: “iPhone” page_views: [ {url: “/items/1”} ] timeline: _id: “yujiosaka” tag: “#dbtechshowcase” tweets: [ {text: “MongoDB Rocks!”} ]
-> ॻ͖ࠐΈॏࢹ -> 2ΫΤϦN+1ώοτ -> ॻ͖ࠐΈεέʔϧ͢Δ υΩϡϝϯτΛຒΊࠐ·ͳ͍ session: _id: “session_id”
device: “iPhone” page_views: [ {url: “/items/1”} ] timeline: _id: “yujiosaka” tag: “#dbtechshowcase” ! tweet: _id: 1234 user_id: “yujiosaka” text: “MongoDB Rocks!”
timeline: _id: “yujiosaka-20141111” tag: “#dbtechshowcase” tweets: [ {text: “MongoDB Rocks!”}
] -> όϥϯεܕ -> 1ΫΤϦώοτ -> ॻ͖ࠐΈ1·Ͱ ͔͠ॏ͘ͳΒͳ͍ ϋΠϒϦου
εΩʔϚϨε ≠ εΩʔϚఆ͕ٛෆཁ RDBMSΑΓબࢶ͕ଟ͍͘͠ tips: IUUQXXXNPOHPECDPNQSFTFOUBUJPOTTDIFNBEFTJHOTDBMF
Ξϯνύλʔϯ
ΠϯσοΫεฤ ΫΤϦฤ Ξοϓσʔτฤ ΞʔΩςΫνϟฤ
ᶃΠϯσοΫεͷషΓա͗
MongoDBϝϞϦͷ͍ํ͕ ͋·Γݡ͋͘Γ·ͤΜ
before: user = new mongoose.Schema first: {type: String, required: true,
index: true} last: {type: String, required: true, index: true} city: {type: String, required: true, index: true} ... created_at: {type: Date, default: Date.now, index: true} ! ॻ͖ࠐΈ͕٘ਜ਼ʹͳͬͯಡΈࠐΈ͕ૣ͚Ε͍͍͡ΌΜʂ
after: user = new mongoose.Schema first: {type: String, required: true}
last: {type: String, required: true} city: {type: String, required: true} ... created_at: {type: Date, default: Date.now} ! ॻ͖ࠐΈ͕٘ਜ਼ʹͳͬͯಡΈࠐΈ͕ૣ͚Ε͍͍͡ΌΜʂ
ಡΈࠐΈɺΠϯσοΫε͕ ϝϞϦʹΒͳ͚Ε͘ͳΔ
tips: όʔδϣϯ2.8ʹPluggable Storage Engine͕༧ఆ͞Ε͍ͯΔͷͰɺ ݡ͍Τϯδϯ͕બΔΑ͏ʹͳΔ https://blog.compose.io/the-coming-of-the-mongodb-storage-engines/
ᶄจࣈྻͷΠϯσοΫε
ΠϯσοΫεͷߏ -> RDBMSͱ΄ͱΜͲಉ͡ -> ΠϯσοΫεʹB-TreeΛ࠾༻ -> B-TreeৗʹฏߧΛอ͍ͬͯΔ
จࣈྻͷΠϯσοΫε -> ϗοτσʔλ͕ࢄ -> ϝϞϦޮ͕ѱ͍
࣌ؒɾObjectIdͷΠϯσοΫε -> ϗοτσʔλ͕ूத -> ϝϞϦޮ͕ྑ͍
tips: Ͱ͖Δ͚ͩObjectIdΛ͍·͠ΐ͏ ޙ͔Βͷஔ͖͑େมͰ͢
ΠϯσοΫεฤ ΫΤϦฤ Ξοϓσʔτฤ ΞʔΩςΫνϟฤ
ᶅϑΟʔϧυΛࢦఆ͠ͳ͍ΫΤϦ
Ϣʔβʔใͷ͏ͪ ࢢใ͚͕ͩཉ͍͠ user: {_id: “yujiosaka”, first: “Yuji”, last: “Isobe”, city:
“Tokyo”} index: {_id:1, city: 1} // compound index
ϑΟʔϧυࢦఆͳ͠ -> SQLͰͷʮselect *ʯ -> ෆཁͳωοτϫʔΫίετ -> ෆཁͳσΟεΫΞΫηε var user
= db.users.findOne({_id: “yujiosaka”});
ϑΟʔϧυࢦఆ͋Γ -> SQLͰͷʮselect cityʯ -> ωοτϫʔΫίετͷઅ -> covered index ͕׆༻Ͱ͖Δ
var user = db.users.findOne({_id: “yujiosaka”}, {city: 1});
tips: covered indexΛ༗ޮ׆༻͢Εɺ σΟεΫͷΞΫηεҰͳ͠ʹ ϝϞϦ͚͔ͩΒใΛಡΈࠐΊΔ
ᶆίʔϧυσʔλͷΫΤϦ
MongoDBͷಛ -> ϗοτσʔλͷΞΫηεߴ -> ίʔϧυσʔλͷΞΫηε͍ -> શσʔλͷΞΫηεۤख
ZenClerkʹ͓͚Δूܭ -> 5͝ͱʹσʔλΛཁ -> 1࣌ؒ͝ͱʹ౷ܭσʔλΛूܭ -> 1͝ͱʹ౷ܭσʔλΛूܭ
tips: ৗʹϗοτσʔλΛҙࣝͨ͠ ͍ํΛ͠·͠ΐ͏
ᶇϓϥΠϚϦʹภͬͨΫΤϦ
ϨϓϦΧηοτ -> ΫΤϦΛࢄͤ͞Δ͜ͱ͕Ͱ͖Δ -> ηΧϯμϦʹΫΤϦΛ͛Δ͔ ϓϩάϥϚ͕ܾΊΒΕΔ -> σϑΥϧτͰϓϥΠϚϦʹ͛ΒΕΔ
σϑΥϧτ -> ϓϥΠϚϦ͔Βಡ·ΕΔ -> ࠷৽ͷσʔλ͕อো͞ΕΔ var user = db.users.find({city: “Tokyo”});
ηΧϯμϦΛࢦఆ -> ηΧϯμϦ͕͋ΕηΧϯμϦ͔Βɺ ͳ͚ΕϓϥΠϚϦ͔Βಡ·ΕΔ -> ࠷৽ͷσʔλอো͞Εͳ͍ var user = db.users.find({city:
“Tokyo”}) .readPref("secondaryPreferred")
tips: σʔλ͕࠷৽Ͱͳͯ͘Α͍߹ ಡΈࠐΈΛηΧϯμϦʹ͚Δ͜ͱͰ ΫΤϦ͕ࢄ͢Δ IUUQTTQFBLFSEFDLDPNNPOHPECQSBDUJDBM TDBMJOHBOETIBSEJOHFMJPUIPSPXJU[HFO
ΠϯσοΫεฤ ΫΤϦฤ Ξοϓσʔτฤ ΞʔΩςΫνϟฤ
ᶈඇޮͳΞοϓσʔτ
Α͘ݟ͔͚Δίʔυᶃ -> ඞͣΫΤϦ͕࣮ߦ͞ΕΔ -> ແବͳωοτϫʔΫίετ -> ඇΞτϛοΫͳॲཧ var user =
db.users.findOne({_id: “yujiosaka”}); user.count += 1; user.save();
Α͘ݟ͔͚Δίʔυᶃ -> updateͱ$incΛͬͯ·ͱΊΒΕΔ -> 1ճͷΞοϓσʔτͰࡁΉ -> ΞτϛοΫͳॲཧ db.users.update({_id: “yujiosaka”}, {$inc:
{count: 1}});
Α͘ݟ͔͚Δίʔυᶄ -> σʔλ͕ݟ͔ͭͬͨΒߋ৽͠ɺݟ͔ͭΒͳ͔ͬͨΒ࡞͢Δ -> Ұݟෳࡶͳίʔυ var user = db.users.findOne({_id: “yujiosaka”});
if (user) { user.count += 1; user.save(); } else { db.users.insert({_id: “yujiosaka”, count: 1}); }
-> {upsert: true} Λ͏ͱ·ͱΊΒΕΔ -> ΑΓγϯϓϧͳίʔυ Α͘ݟ͔͚Δίʔυᶄ db.users.update({_id: “yujiosaka”}, {$inc:
{count: 1}}, {upsert: true});
ᶉංେԽ͢ΔυΩϡϝϯτ
Ϛεͷ࠲ඪσʔλΛ อଘ͢Δ behavior: points: [{x: 151, y: 100} {x: 151,
y: 179} {x: 151, y: 266} … {x: 151, y: 340}]
MongoDBͷۤख -> ϑΟʔϧυ͕ංେԽ͢ΔΞοϓσʔτ͕͍ -> σʔλ͕ҰఆͷαΠζʹऩ·Βͳ͘ͳΔͱ σΟεΫͰσʔλͷҠಈ͕ى͖Δ -> RedisͰMongoDBͷۤखΛิ͏
Redis -> ΦϯϝϞϦܕͷKVS -> ಡΈࠐΈɾॻ͖ࠐΈ͕ૣ͍ -> جຊతʹσʔλͷӬଓԽ͠ͳ͍ -> σʔλܕ͕ඇৗʹ๛ ʢϦετɾηοτɾϋογϡʣ
RedisΛΘͳ͍߹ db.col.update({_id: 1234}, {$push: {points: {x: 151, y: 100}}); db.col.update({_id:
1234}, {$push: {points: {x: 151, y: 179}}); db.col.update({_id: 1234}, {$push: {points: {x: 151, y: 266}}); … db.col.update({_id: 1234}, {$push: {points: {x: 151, y: 340}}); -> ࠲ඪ͕Ҡಈ͢ΔͨͼʹMongoDBʹॻ͖ࠐ·ΕΔ -> αΠζ͕ऩ·ΓΒͳ͍ͱɺσʔλͷҠಈ͕ى͖Δ
RedisΛͬͨ߹ db.col.insert({points: [ {x: 151, y: 100}, {x: 151, y:
179}, {x: 151, y: 266}, … {x: 151, y: 340} ]}); -> Ұ͔͠MongoDBʹॻ͖ࠐ·ͳ͍ -> υΩϡϝϯυͷαΠζ͜ΕҎ্େ͖͘ͳΒͳ͍
tips: ͯ͢ΛMongoDB͚ͩͰΖ͏ͱͤͣɺ ۤखͳ෦ଞͷٕज़Ͱิ͏͜ͱ͕େ
ΠϯσοΫεฤ ΫΤϦฤ Ξοϓσʔτฤ ΞʔΩςΫνϟฤ
ᶊ٧ΊࠐΈա͗DB
σʔλΛҰͭͷDBʹ٧ΊࠐΜͰ ྑ͍͜ͱʢࠓͷͱ͜Ζʣ͋·Γͳ͍
ͳͥDBΛ͚Δͷ͔ʁ -> Reader-WriterϩοΫ͕ΘΕ͍ͯΔ -> 2.2.0Ҏ߱DB୯ҐͰϩοΫ͢Δ -> ϚγϯΛ͚ΕϝϞϦ͕૿͑Δ
ZenClerk ʹ͓͚ΔDBͷ༻్ -> ϝΠϯσʔλʢHotʣ -> ϝΠϯσʔλʢColdʣ -> ੜσʔλ -> ܭࢉ݁Ռσʔλ
-> ౷ܭσʔλ -> αΠτଐੑσʔλ
tips: όʔδϣϯ2.8ʹdocument-level locking 3.0Ҏ߱ʹpartitioned joins͕༧ఆ͞Ε͍ͯΔ ʢޙऀ͋·Γ͋ͯʹ͠ͳ͍ํ͕ແͦ͏ʣ http://www.slideshare.net/tetsutarowatanabe/mongodb-world-2014-37081258
ᶃΠϯσοΫεͷషΓա͗ ᶄจࣈྻͷΠϯσοΫε ᶅϑΟʔϧυΛࢦఆ͠ͳ͍ΫΤϦ ᶆίʔϧυσʔλͷΫΤϦ ᶇϓϥΠϚϦʹภͬͨΫΤϦ ᶈඇޮͳΞοϓσʔτ ᶉංେԽ͢ΔυΩϡϝϯτ ᶊ٧ΊࠐΈա͗DB Ξϯνύλʔϯ͓͞Β͍
Ξϯνύλʔϯʹ ؕΒͳ͍ͨΊʹ
̏ͭͷࢹ -> ϦΞϧλΠϜࢹ -> ݟฦͨ͢Ίͷࢹ -> ͍ΫΤϦͷࢹ
ϦΞϧλΠϜࢹ
-> ComposeʢMongoHQʣμογϡϘʔυ -> ݱࡏͷ݈߁νΣοΫ༻ -> ࣾʹઐ༻σΟεϓϨΠΛઃஔ -> ҟৗ͕͋Εʮ୭͔Mongoࡴͨ͠ʁʯ ϦΞϧλΠϜࢹ
ݟฦͨ͢Ίͷࢹ
-> MMSμογϡϘʔυ -> ఆظతͳ݈߁அ -> োൃੜ࣌ʹݟฦͯ͠ ɹʮͳΜͰ͜ΜͳϩοΫߴ͘ͳͬͯΜͷʁʯ ݟฦͨ͢Ίͷࢹ
͍ΫΤϦͷࢹ
-> explain(true) -> system.profile.find() -> Dex -> Compose (MongoHQ) Slow
Queries ͍ΫΤϦͷࢹ
tips: ObjectIdΛͬͨΫΤϦʹ 100msҎ্͔͔ͬͨΒةݥ৴߸
my.presentation.aggregate() -> MongoDBબࢶ͕ଟ͍ -> Ξϯνύλʔϯ͍͔ͭ͘ଘࡏ͢Δ -> ΞϯνύλʔϯʹؕΒͳ͍ͨΊʹࢹ͢Δ -> ࠷৽ใͷΩϟονΞοϓॏཁ
͍͞͝ʹ
we.are “hiring! :)” https://www.zenclerk.com/recruit.html
any.questions?