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
PHPで支える大規模・ラムダアーキテクチャ
Search
yuuki takezawa
July 15, 2017
Technology
0
1.3k
PHPで支える大規模・ラムダアーキテクチャ
yuuki takezawa
July 15, 2017
Tweet
Share
More Decks by yuuki takezawa
See All by yuuki takezawa
なぜAI時代に 「イベント」を中心に考えるのか? / Why focus on "events" in the age of AI?
ytake
4
1.6k
PHPでアクターモデルを活用したSagaパターンの実践法 / php-saga-pattern-with-actor-model
ytake
0
2k
PHP ステートレス VS ステートフル 状態管理と並行性 / php-stateless-stateful
ytake
0
230
PHPでアクターモデルを理解・体験しよう / Understand and experience the actor model in PHP
ytake
2
710
再考 アクターモデル/ reconsider actor model
ytake
0
1.4k
GoとアクターモデルでES+CQRSを実践! / proto_actor_es_cqrs
ytake
1
570
Phluxorでアクターモデルを 理解・体験しよう / toolkit-for-flexible-actor-models-in-php-phluxor
ytake
1
330
オブジェクトのおしゃべり大失敗 メッセージングアンチパターン集 / messaging anti-pattern collection
ytake
2
1.2k
DRE/SREのプラクティス融合によるクラウドネイティブなデータ基盤作り / dre_sre
ytake
0
910
Other Decks in Technology
See All in Technology
re:Inventに行きたい いつか行きたい 行けるようにできることは?
yama3133
0
110
ソフトウェアテストのAI活用_ver1.50
fumisuke
0
240
Databricks Free Editionで始めるMLflow
taka_aki
0
840
Copilotの精度を上げる!カスタムプロンプト入門.pdf
ismk
10
2.7k
DMARCは導入したんだけど・・・現場のつぶやき 〜 BIMI?何それ美味しいの?
hirachan
1
170
MCP サーバーの基礎から実践レベルの知識まで
azukiazusa1
26
13k
今から間に合う re:Invent 準備グッズと現地の地図、その他ラスベガスを周る際の Tips/reinvent-preparation-guide
emiki
1
340
メタプログラミングRuby問題集の活用
willnet
1
370
Logik: A Free and Open-source FPGA Toolchain
omasanori
0
250
AI-ready"のための"データ基盤 〜 LLMOpsで事業貢献するための基盤づくり
ismk
0
130
20251102 WordCamp Kansai 2025
chiilog
1
700
隙間ツール開発のすすめ / PHP Conference Fukuoka 2025
meihei3
0
210
Featured
See All Featured
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
116
20k
Code Reviewing Like a Champion
maltzj
527
40k
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
1.7k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.2k
The Invisible Side of Design
smashingmag
302
51k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.1k
Embracing the Ebb and Flow
colly
88
4.9k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
140
34k
Build your cross-platform service in a week with App Engine
jlugia
234
18k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
16k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
23
1.5k
Transcript
PHPͰࢧ͑Δ େنϥϜμΞʔΩςΫνϟ takezawa yuuki <ytake> PHP conference kansai 2017
Lamda Architecture
ҰൠతͳwebαʔϏε • PHP • MySQL, PostgreSQL, Oracle, SQL Server •
Apache, Nginx etc
େ͖͘ͳ͖ͬͯͨwebαʔϏε • DatabaseʹՃ͑ɺElasitcsearch, SolrͳͲ • ύϑΥʔϚϯεվળͷͨΊʹશจݕࡧͳͲΛՃ͠ RDBMSͷ͍͠ͱ͜ΖΛิ͏ • ͍͔ͭ͘ͷindexੜύλʔϯ
Application Database Elasticsearch
ύλʔϯ1 • webΞϓϦέʔγϣϯଆͰɺσʔλϕʔεʹૠೖޙɺ ElasticseachͳͲʹૠೖ͢Δύλʔϯ • ΞϓϦέʔγϣϯଆͰίϯτϩʔϧͰ͖Δ͕ɺ ΞϓϦέʔγϣϯͷίʔυ͕ංେԽ
Application Database Elasticsearch Batch
ύλʔϯ2 • webΞϓϦέʔγϣϯଆͰɺσʔλϕʔεʹૠೖޙɺ ఆظ࣮ߦ͞ΕΔόονͰૠೖ͢Δύλʔϯ • webΞϓϦέʔγϣϯଆͰσʔλϕʔεʹૠೖͷΈ • batchͰͲ͜·Ͱ࡞͔ͨ֬͠ೝ͠ͳ͕Βɺ ະ࡞ͷͷͷΈ࡞͢Δ •
ͨͩ͠ϦΞϧλΠϜͰͳ͍
Application Database Elasticsearch Message Queue Consumer Producer
ύλʔϯ3 • webΞϓϦέʔγϣϯଆͰɺσʔλϕʔεʹૠೖޙɺ ProducerΛհͯ͠Message Queueૠೖ • webΞϓϦέʔγϣϯଆͰσʔλϕʔεʹૠೖͷΈ • Consumer͕Ԡ͠ɺElasticsearchͷindexΛ࡞ •
Message͕ফࣦ͠ͳ͍ݶΓϦΞϧλΠϜʹ͍ۙ
ΑΓେ͖ͳΞϓϦέʔγϣϯ
ࣄۀʹΑΔେ͖ͳΞϓϦέʔγϣϯ • ϢʔβʔͷߦಈΛੳ͍ͨ͠ • ଟ͘ͷϢʔβʔʹར༻͞Ε͍ͯΔݕࡧจࣈΛαδΣετ ʹར༻͍ͨ͠ • Ϣʔβʔͷߦಈʹج͍ͮͨίϯςϯπΛද͍ࣔͤͨ͞ • ࢄͨ͠αʔϏεͷσʔλΛूͯ͠৽͍͠ίϯςϯ
πΛఏڙ͍ͨ͠ • BigData
Big Data + Fast Data
BigDataʹ͏ΞϓϦέʔγϣϯͷ՝ • ͦΕͧΕͷΞϓϦέʔγϣϯͰ࣮ߦ͍ͯͨ͠όονॲ ཧ͕ऴΘΒͳ͍ • Ϩίʔυ͍ظؒͰԯͱେʹͳΓɺ σʔλϕʔεͷindexΑΓI/O͕ݫ͍͠ • ϨϓϦέʔγϣϯԆ୲อ͕͍͠ •
ઍສϢʔβʔͷϦΞϧλΠϜͷੳΛ͢Δʹݫ͍͠ • ਖ਼نԽͨ͠σʔλઈରʹRDBMS • ࢄͨ͠σʔλϕʔεʹͲ͏ཱ͔ͪ͏͔
None
BigDataͷΞϓϩʔν • σʔλͦͷͷͷू • લ·Ͱʹूܭ͓͚ͯ͠ྑ͍σʔλΛ͋Β͔͡Ί༻ ҙ͢Δ • ϦΞϧλΠϜʹೖྗ͞ΕΔσʔλʹରͯ͠ͷ MessageॲཧͱɺࢄՄೳͳσʔλετϨʔδ •
લड़ͷdatabase, elasticsearchซ༻ͷऔΓΈΛɺ ΑΓେ͖ͳεέʔϧͰߏங͢Δ
ετϦʔϜॲཧ • େྔͷσʔλΛϦΞϧλΠϜͰॲཧ͢Δͷ͕ɺ ετϦʔϜσʔλॲཧͷత • ऴΘΓ͕ͳ͘ɺແݶʹͬͯ͘ΔͷͷΞϓϩʔν • ϝϞϦͰॲཧ͞Εɺͦͷޙഁغ͞ΕΔ • ࢹܥͷॲཧΑ͘ར༻͞Ε͍ͯΔͷ
• ηϯαʔΛར༻ͨ͠ΞϓϦέʔγϣϯͳͲ
ϥϜμΞʔΩςΫνϟ • όονɺαʔϏεɺεϐʔυͰߏ • όονɺେ͖ͳσʔλͷूܭɺେྔσʔλͷੳͳͲΛ୲ ͢Δ -> Hadoop(MapReduce), Spark •
αʔϏεόονͷू݁ՌΛఏڙ͢Δ Hive, HBase, ElephantDB, Splout SQL, pipelineDB… • εϐʔυϦΞϧλΠϜॲཧͷ݁ՌΛఏڙ͢Δ Spark, Storm, Kafka, Cassandra etc.. • αʔϏεͱεϐʔυͷ྆ํͷΛϚʔδͯ͠ฦ٫ қߴ͍ɾɾɾ -> KafkaͳͲʹूͤͨ͞Kappa Architecure
KappaΞʔΩςΫνϟ
KappaΞʔΩςΫνϟ
OSSͰߏங
PHPϝΠϯͰ࡞Δ͜ͱ͍͠ɾɾ
Apache Cassandra
Apache Cassandra • Ϩίʔυ͕େྔʹ૿͑Δ͜ͱ͕Θ͔͓ͬͯΓɺ ੳʹར༻͢Δ༧ఆͰ͋ͬͨͨΊɺ εέʔϧ͕༰қͱ͍͏Ͱ࠾༻ • PHP͔Βར༻Մೳ(ext-cassandra) • େྔσʔλͷॻ͖ࠐΈʹରԠ
• ؆୯ͳτϥϯβΫγϣϯαϙʔτ • σʔληϯλʔލ͗ͷΫϥελʔߏங • Availability ͱ Partition Tolerance • SQLΠϯλʔϑΣʔε • ୯Ұোͳ͠
Apache Cassandra Architecture
ؾΛ͚ͭΔ • RDBMSײ֮Ͱ͏·͘ར༻Ͱ͖·ͤΜ • ύʔςΟγϣϯΩʔͰ͏·͘ઃܭ͢Δ • ݅ʹΑΔΦʔμʔࢦఆͰ͖ͳ͍ • ϚςϦΞϥΠζυϏϡʔซ༻͢͠ •
ো࣌ͷϩάੳͨͩ͘͠ • ίϯύΫγϣϯͱઓ͏(࣮ࡍʹར༻͢Δ༰ྔ*2Ͱܭࢉ) • ݕࡧͰҾ͔͔ͬΔهࣄେମچόʔδϣϯͰɺ ݱߦͱશ͘ผ
ςʔϒϧઃܭ • Primary KeyࣝผΩʔͰ͋Γͳ͕Βɺ Ͳͷnodeʹ֨ೲ͢Δ͔Λܾఆ͢ΔύʔςΟγϣϯΩʔ • ҟͳΔnodeʹ͋Δͷͷݕࡧ͔ͳ͍ ඞཁͳέʔε͕ੜͨ͡߹ςʔϒϧઃܭΛݟ͢ • ߋ৽࣌ɺআ࣌ʹؚΊͳ͚ΕͳΒͳ͍
• ར༻ՄೳͳͷηΧϯμϦΠϯσοΫε·Ͱ • JOINLIKEଘࡏ͠ͳ͍ͨΊɺෳࡶͳͷSparkͰ
ςʔϒϧઃܭ CREATE TABLE timeline.user_timeline ( uuid uuid, user_id int, reference
map<text, text>, body text, is_read tinyint, published_at timestamp, PRIMARY KEY (user_id) );
Ϩίʔυͷॱ൪Λܾఆ͢Δ CREATE TABLE timeline.user_timeline ( uuid uuid, user_id int, reference
map<text, text>, body text, is_read tinyint, published_at timestamp, PRIMARY KEY (user_id) ) WITH CLUSTERING ORDER BY (published_at DESC);
MATERIALIZED VIEW CREATE MATERIALIZED VIEW timeline.desc_user_timeline AS SELECT uuid, user_id,
published_at, reference, body FROM timeline.user_timeline WHERE user_id IS NOT NULL AND published_at IS NOT NULL AND uuid IS NOT NULL PRIMARY KEY (user_id, published_at, uuid) WITH CLUSTERING ORDER BY (published_at DESC);
From PHP $cluster = Cassandra::cluster() ->withContactPoints('10.0.1.24', ‘localhost') ->withPort(9042) ->build(); $statement
= $session->prepare( "UPDATE users SET age = ? WHERE user_name = ?” ); $futures = array(); // execute all statements in background foreach ($data as $arguments) { $futures[] = $session->executeAsync( $statement, [ ‘arguments' => $arguments ]; }
PHP extension • Batchʹ࠷దԽ͞ΕͨI/F Batch Statement • ฒྻར༻Մೳ • Pagination͕༻ҙ͞Ε͍ͯΔ(Generatorར༻)
• Cassandraͷ΄ͱΜͲͷػೳ͕ར༻Ͱ͖ΔͷͰɺ Java͔Βར༻ͤͣͱे׆༻Ͱ͖Δ
Apache Kafka
Apache Kafka • Streamαϙʔτ(ϥϜμΞʔΩςΫνϟͰඞཁෆՄܽ) • ΫϥελϦϯά͕ࣗ༝ࣗࡏ • Zookeeperͱ࿈ܞͨ͠ࢄγεςϜ • োʹڧ͘ɺϝοηʔδͷ࠶औಘ͕Մೳ
• SparkͱStormͱ༰қʹ࿈ܞͰ͖Δ͜ͱ͔Β࠾༻ • ϝοηʔδૹ৴ޙͰࢦఆظؒอ࣋͠ɺ ଞͷΫΤϦΤϯδϯ͔Βϝοηʔδ༰औಘՄೳ • PHP͔Βར༻Մೳ(rdkafka)
Message QueueͰൃੜ͢Δ • Producer͔ΒBrokerૹ৴࣌ʹܽଛ͢Δ͜ͱ͕͋Δ • Broker͕ड৴Λࣦഊ͢Δέʔε • Brokerͷૹ৴͕ࣦഊ͢Δέʔε • ॏෳͯ͠ड৴ͯ͠͠·͏έʔε
0.11 • Exactly-once delivery and transactional messaging • ਖ਼֬ʹҰ͚ͩɺ࣮֬ʹಧ͚Δ •
ϝοηʔδૹ৴ͱड৴ʹτϥϯβΫγϣϯʂ • ΑΓڧݻʹ
Partition • ฒྻࢄॲཧ͕ઃܭ • topicΛPartitionͰׂ͠ɺProducer, Consumer͕ҙ ͷPartitionʹΞΫηε • ࡉԽͱޮԽ͕ࣗ༝ʹ
Partition
BigDataͷ࢝·ΓPHP͔Β
None
webΞϓϦέʔγϣϯ͔Β BigData·Ͱࢧ͑ΔPHP
·ͱΊ • ෳࡶԽ͢ΔΞϓϦέʔγϣϯɺ ՝ղܾେ͖͘ͳΔޣຯ • PHPͰϏδωεΛαϙʔτ͢Δཧπʔϧ • PHP͔Β࢝·ΔBigData + FastDataΞʔΩςΫνϟ
• PHPͰେ͖͘ߩݙ