Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Aerospike で 大量のトランザクション処理をさばく
Search
ikosin
October 30, 2015
Programming
2.4k
8
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Aerospike で 大量のトランザクション処理をさばく
https://atnd.org/events/71301
での発表資料です。
ikosin
October 30, 2015
Other Decks in Programming
See All in Programming
AI が書く Go コードの品質を劇的に向上させる Linter: “declscope”
mpyw
0
460
すこし踏み込む CancellationToken
htkym
2
1.5k
SREの越境 / SRE Collaboration
y0hgi
2
290
MVNOの申込からeSIM開通までをiOSアプリでつなぐ- 本人確認・MNP・通信事業者基盤をまたぐ実装
satotakeshi
0
520
Vue Fes Japan 2026 タイムテーブル徹底解説
448jp
1
580
巨大モノリシックアプリ モダン化大作戦
ktcryomm
1
1.2k
FreeBSDでZabbixを動かす
kenkino
0
340
UPDATE をやめる — EF Core でマスタをバージョン管理する
panda728
PRO
0
1k
wkhtmltopdfの次どうするか問題2026
willnet
2
1.8k
Androidだけじゃない、DroidKaigiで広がった私の技術スタック
akkeylab
0
110
大喜利で理解するLLM as a Judge / Understanding LLM-as-a-Judge through Ogiri
rockname
0
180
Turning Architecture into Unit Tests in the AI Era (NSSpain XIV)
steliosf
PRO
1
120
Featured
See All Featured
Game over? The fight for quality and originality in the time of robots
wayneb77
1
290
Writing Fast Ruby
sferik
630
63k
Mobile First: as difficult as doing things right
swwweet
225
10k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
GraphQLの誤解/rethinking-graphql
sonatard
75
12k
SEOcharity - Dark patterns in SEO and UX: How to avoid them and build a more ethical web
sarafernandez
0
290
Balancing Empowerment & Direction
lara
6
1.3k
Between Models and Reality
mayunak
4
480
Breaking role norms: Why Content Design is so much more than writing copy - Taylor Woolridge
uxyall
1
430
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
260
Agile Actions for Facilitating Distributed Teams - ADO2019
mkilby
0
290
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.4k
Transcript
Aerospike Ͱ େྔͷτϥϯβΫγϣϯॲཧΛ ͘͞
ʘ͜Μʹͪʗʘ͜Μʹͪʗ • @62jun26 • Java Ͱ͢ • ࠷ۙΠϯϑϥدΓͷࣄ͕ଟ͍ • ΠϯλʔωοτͱΧʔϓ͕͖Ͱ͢
࣍ •ΞυςΫྖҬʹ͓͚ΔτϥϯβΫγϣϯܥॲཧ •τϥϯβΫγϣϯܥॲཧʹඞཁͳཁ݅ •͜Ε·ͰͷาΈ •Aerospike ͷಛ •ӡ༻ͯ͠Έͯ……
࣍ •ΞυςΫྖҬʹ͓͚ΔτϥϯβΫγϣϯܥॲཧ •τϥϯβΫγϣϯܥॲཧʹඞཁͳཁ݅ •͜Ε·ͰͷาΈ •Aerospike ͷಛ •ӡ༻ͯ͠Έͯ……
ΞυςΫྖҬʹ͓͚Δ τϥϯβΫγϣϯܥॲཧ • Ϣʔβใর߹ • ଐੑσʔλΛ༻͍ͨλʔήςΟϯάʹ༻͍Δ • ࠂใऔಘ • ΫϦΤΠςΟϒͷࠂใ
• ࠂ৴࣮ੵΈ্͛ • ༧ࢉཧͷͨΊͷ৴࣮
࣍ •ΞυςΫྖҬʹ͓͚ΔτϥϯβΫγϣϯܥॲཧ •τϥϯβΫγϣϯܥॲཧʹඞཁͳཁ݅ •͜Ε·ͰͷาΈ •Aerospike ͷಛ •ӡ༻ͯ͠Έͯ……
τϥϯβΫγϣϯܥॲཧ ʹඞཁͳཁ݅ • ϨΠςϯγ • ߴεϧʔϓοτ • ߴՄ༻ੑ
͋Δͱخ͍͠ • εέʔϥϏϦςΟ • ؆୯ͳूܭΛ࣮ݱ͢Δ UDF ·ͨΈࠐΈؔ • σʔλͷӬଓԽ =>
RDB Ͱͳ͘σʔλΛγϯϓϧʹͯ͠ KVS Λ ༻͢ΔྲྀΕ
࣍ •ΞυςΫྖҬʹ͓͚ΔτϥϯβΫγϣϯܥॲཧ •τϥϯβΫγϣϯܥॲཧʹඞཁͳཁ݅ •͜Ε·ͰͷาΈ •Aerospike ͷಛ •ӡ༻ͯ͠Έͯ……
͜Ε·ͰͷาΈ • Tokyo Tyrant & Tokyo Cabinet • Redis •
DynamoDB
Tokyo Tyrant & Tokyo Cabinet • ࠃ࢈ KVS • 2010
લޙ • memcache ޓϓϩτίϧͰσʔλӬଓԽՄೳ • ϚελɾεϨʔϒܕͷϨϓϦέʔγϣϯػೳ • ϚϧνϚελߏՄೳ • ·ͩ·ͩݱͰಈ͍ͯΔͱ͍͏ฉ͘
Redis • σʔλӬଓԽՄೳ • ༷ʑͳσʔλߏͷ··อଘՄೳʢจࣈྻ, List, Set, ιʔτࡁΈSet, Hashʣ •
ϚελɾεϨʔϒܕͷϨϓϦέʔγϣϯػೳ • Amazon ͷ ElastiCache ͰϑϧϚωʔδυͳαʔϏεͱͯ͠ར༻Մೳ • 20154݄ʹग़ͨ Redis 3.0 Ͱʹ Redis Cluster ͕ਖ਼ࣜϦϦʔεʂ
༨ஊ: Redis • Ϧιʔε͕๛Ͱ֤ΞϓϦέʔγϣϯαʔό ʹಉࠝͰ͖ΔͳΒ Redis ͕ྑ͍ͱࢥ͍·͢ • Write ϚελʢElastiCache
ʣɺRead ΞϓϦέʔγϣϯαʔόಉࠝͷεϨʔϒ͔ Β
DynamoDB • Amazon ͷϑϧϚωʔδυͳNoSQL σʔλϕʔε • ϨΠςϯγ • ߴεϧʔϓοτ •
ߴՄ༻ੑ • ߴ͍εέʔϥϏϦςΟ • ͓ۚΛ͑શͯͷղܾ͞ΕΔʂ
ʢ͓·͚ʣ ͦͷଞީิʹ͕͋ΔϓϩμΫτ • Memcached • MongoDB • Cassandra • HBase
• BigTable
࣍ •ΞυςΫྖҬʹ͓͚ΔτϥϯβΫγϣϯܥॲཧ •τϥϯβΫγϣϯܥॲཧʹඞཁͳཁ݅ •͜Ε·ͰͷาΈ •Aerospike ͷಛ •ӡ༻ͯ͠Έͯ……
Aerospike IUUQXXXBFSPTQJLFDPNBCPVUBFSPTQJLF
Aerospike ͷಛ • ૣ͍ʂʢϨΠςϯγʣ • ͍҆ʂʢߴεϧʔϓοτ => αʔόઅʣ • ࢫ͍ʂʢࣗಈΫϥελߏɾγϟʔσΟϯάʣ
• ҆৺ʂʢσʔλԽʣ ϕλͰ͢Ͷ
ϨΠςϯγɾߴεϧʔϓοτ • ҎલɺAerospike ͷதͷਓͷهࣄΛ༁͠·ͨ͠ • Aerospike on Amazon EC2 Ͱ
100ສTPS Λͨͬͨ 1.68 υϧ /࣌ Ͱ࣮ݱ͢Δํ๏ https://fa-works.com/blog/1-aerospike-server-x-1-amazon- ec2-instance-achieve-1-million-tps • C3.8xlarge 1Ͱ 100ສTPS ͷ Read ϦΫΤετΛॲཧ • 97% Ҏ্ͷϦΫΤετΛ 1ms Ҏʹฦ٫ʢຊՔಇதͷαʔόʣ
ࣗಈΫϥελߏɾγϟʔσΟ ϯά • ࠾༻ͷܾΊखʹͳͬͨ • ৽͍͠αʔόΛ༻ҙͯ͠ɺطଘϊʔυͷ IP Λ ࢦఆͯ͠ىಈ͢ΕউखʹΫϥελϦϯά •
ύʔςΟγϣϯͷ࠶ܭࢉΛߦͬͯϚΠάϨʔ τʢσʔλϦόϥϯγϯάʣͯ͘͠ΕΔ
σʔλԽ • ϨϓϦέʔγϣϯɾϑΝΫλ (replication factor) ͱ͍͏ ύϥϝʔλͰσʔλͷෳͷΛࢦఆͰ͖Δ • replication factor
= 2 ͷ߹ɺϝΠϯͰΞΫηε͢ΔϚ ελσʔλͱผʹɺଞͷαʔόʹ 1ͭϨϓϦΧσʔλ ͕ଘࡏ͢Δ • 1 Ϋϥογϡͯ͠ɺϨϓϦΧͷσʔλ͕ੜ͖͍ͯΔ ͨΊσʔλΛϩετ͠ͳ͍
্࣮Ͱҙ͢Δ • Limit • Setʢςʔϒϧʣͷ => 1024ݸҎ • BinʢΧϥϜʣ໊ =>
14จࣈҎ • Record => ʢσϑΥϧτʣ128KB ʢ࠷େ1MBʣ • http://www.aerospike.com/docs/guide/FAQ.html
্࣮Ͱҙ͢Δ̎ • ClientLibrary ͰͷγϦΞϥΠζ͕݁ߏඍົ • SecondaryIndex ͰͷෳΠϯσοΫεͷ And ݕࡧෆՄ •
SecondaryIndexͰɺIn ͕۟ͳ͍ • Range αϙʔτ͞Ε͍ͯΔ͕ɺจࣈྻΛҾֻ͚ͬ ʹ͍͘
࣍ •ΞυςΫྖҬʹ͓͚ΔτϥϯβΫγϣϯܥॲཧ •τϥϯβΫγϣϯܥॲཧʹඞཁͳཁ݅ •͜Ε·ͰͷาΈ •Aerospike ͷಛ •ӡ༻ͯ͠Έͯ……
མͱ݀̍͠:κϯϏϨίʔυ Delete & TTL ʹΑΔ Expire আͰͳ͍ʂʂ • ϝϞϦʹࡌͤͯ͋ΔΠϯσοΫεʢPKʣΛআ͢Δ͚ͩ ͰɺετϨʔδ͔Βଈ࠲ʹফ͑ΔΘ͚Ͱͳ͍
• SSD ͷಛੑ্ɺσʔλআෛՙ͕ߴ͍ • σϑϥάͷ͍ͭͰʹ্ॻ͖ʢ͍ͭফ͑Δ͔ෆ໌ʣ • ௨ৗΞΫηεग़དྷͳ͍ͷͰͳ͍ͣͩͬͨ...
མͱ݀̍͠:κϯϏϨίʔυ ͨͩ͠ɺAerospike Λ࠶ىಈͨ͠Β෮׆͢Δʂ • Aerospike ىಈ࣌ʹɺετϨʔδ͔Β PK ΛಡΜͰϝϞϦ ʹΠϯσοΫεΛߏங͢Δ •
আ͞ΕͨϨίʔυͱ͞Εͯͳ͍Ϩίʔυͷ۠ผ͕ͳ͍ʂ • আͨ͠ϨίʔυҰॹʹΠϯσοΫε͞ΕͯಡΈऔΓͰ ͖ΔΑ͏ʹͳΔʂʂʁ
མͱ݀̍͠:κϯϏϨίʔυ • Aerospike ࠶ىಈ࣌ʹɺετϨʔδΛۭʹ͢Δ cold-start-empty ΦϓγϣϯΛ༗ޮʹ͠Α͏ • σʔλ͕Խͯ͋͠Εɺଞͷϊʔυ͔Βσʔ λΛΒ͑Δ
མͱ݀̎͠: ར༻Ͱ͖Δσʔλ༰ྔ • લड़ͷσϑϥάͷͨΊɺ༻ҙͨ͠ετϨʔδɾ ϝϞϦΛશ͍͖ͯΕΔΘ͚Ͱͳ͍ • σϑΥϧτͰετϨʔδͷ 50%, ϝϞϦͷ 60%
͠ ͔ར༻Ͱ͖ͳ͍(high water mark) • 90% Λաͨ͠Βॻ͖ࠐΈ͕Ͱ͖ͳ͍(stop write)
མͱ݀̏͠: ϨίʔυαΠζʹؾΛ͚ͭΔ • વͳ͕Βɺ̍Ϩίʔυ͋ͨΓͷαΠζ͕େ ͖͚ΕωοτϫʔΫଳҬΛѹഭ͢Δ • ͋Ε͜Ε̍Ϩίʔυʹ٧ΊࠐΈա͗ͳ͍ • ৗʹσʔλߏΛݟ͢ϚΠϯυ͕ॏཁ
͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ʂ ࣍ •ΞυςΫྖҬʹ͓͚ΔτϥϯβΫγϣϯܥॲཧ •τϥϯβΫγϣϯܥॲཧʹඞཁͳཁ݅ •͜Ε·ͰͷาΈ •Aerospike ͷಛ •ӡ༻ͯ͠Έͯ……
͓·͚ɿEC2 Ͱӡ༻͢Δ߹ͷ ύϑΥʔϚϯεʹ͍ͭͯ ओͳϘτϧωοΫ • ωοτϫʔΫ • Disk IO (SSD)
ωοτϫʔΫ • Amazon ͷΧλϩάεϖοΫ 10G Ҏ֎ Low ͱ͔ High ͱ͔ϘΧͨ͠
• ಉ͡ High ͰΠϯελϯελΠϓʹΑ͔ͬͯͳΓҟͳΔ • iperf Ͱܭଌͨ͠ํ͕͍͍ʢެ։ͯ͘͠Ε͍ͯΔਓ͍Δʣ • http://qiita.com/saitara/items/882a3e70639637e24a4f • ྫʣc4.2xlarge => 1.01 Gbits/sec • ྫʣc4.4xlarge => 4.27 Gbits/sec
Disk IO & εϧʔϓοτ • EBS ͗͢Δ • ඞཁͳ IO
ੑೳΛग़͢ͷ Provisioned IOPS Λར༻͢Δ ͜ͱͰ࣮ݱͰ͖Δ͕ɺߴ͍ʂ • ΠϯελϯεετϨʔδ Λ͏ • ཧతʹܨ͕͍ͬͯΔετϨʔδͳͷͰૣ͍ʂ • ͨͩ͠ɺΠϯελϯεͷ stop/start Ͱσʔλشൃ͢Δ