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
OSC-Hokkaido-2018-hayabusa
Search
Hiroshi
July 07, 2018
Research
760
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
OSC-Hokkaido-2018-hayabusa
This is the presentation material for OSC Hokkaido 2018
Hiroshi
July 07, 2018
More Decks by Hiroshi
See All by Hiroshi
pepacon night : log research working group report
hirolovesbeer
0
1.5k
イベントネットワークにおけるsyslog分析でのElasticsearchの利用
hirolovesbeer
1
1.3k
Other Decks in Research
See All in Research
Physical AIでモデリングはどう変わるか/How Physical AI Will Change Modeling
stktu
0
310
J-STAGEの現況と全文XML登載必須化について
xspa2012
0
350
Bilan travail en élevage : première restitution des enquêtes 2025-2026
institutdelelevage
PRO
0
240
2025年度秋葉原ウォーカブルプロジェクト調査報告 「アキバらしいウォーカブル」とは何か
izumiyama_lab
1
260
全国町字単位空き家率推定データver1.0データ仕様
microbaseinc
0
300
Bilan travail en élevage : première restitution des enquêtes 2025-2026
institutdelelevage
PRO
0
120
横浜市長(山中氏)の言動にかかる第三者による調査報告書
sishi2026
0
660
フィジカルAIの社会実装に向けて -AIエージェントからAgentic Roboticsへ-
hf149
1
2.4k
進化?迷走?CasualConc ファミリーアプリの現在地 @ 英語コーパス学会 2026
casualconc
0
150
ros2-perf-multihost: 分散システムにおける客観的なアーキテクチャ評価フレームワーク
takasehideki
0
310
La génomique au service de la fromageabilité du lait grâce aux spectres MIR
institutdelelevage
PRO
0
190
生成AIなんでも展示会vol6 LT登壇資料 NexteraBERT
rikkabotan7
0
200
Featured
See All Featured
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
6
1.2k
Technical Leadership for Architectural Decision Making
baasie
3
610
A designer walks into a library…
pauljervisheath
211
25k
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
2.2k
What does AI have to do with Human Rights?
axbom
PRO
1
2.5k
Designing for humans not robots
tammielis
254
26k
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
1
350
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
740
Odyssey Design
rkendrick25
PRO
2
890
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
640
The Art of Delivering Value - GDevCon NA Keynote
reverentgeek
16
2.2k
Transcript
Hayabusa ߴʹશจݕࡧՄೳͳ OSSϩάݕࡧΤϯδϯͷ͝հ Ѩ෦ തɿגࣜձࣾϨϐμϜ ݚڀһ OSC 2018 Hokkaido 2018/07/08
ࣗݾհ • ໊લɿѨ෦ ത • ॴଐɿגࣜձࣾϨϐμϜʢݚڀһʣɺίίϯגࣜձࣾʢࣾิࠤ/ٕज़ݚڀ ॴ ݚڀһʣɺใ௨৴ݚڀػߏʢڠྗݚڀһʣɺઌՊֶٕज़େֶ Ӄେֶʢത࢜ޙظ՝ఔʣ •
ͦͷଞɿInterop Tokyo ShowNet NOCϝϯόʔ
࣍ • എܠͱత • Hayabusaʹ͍ͭͯ • ࢄHayabusaͷఏҊʢઃܭͱ࣮ʣ • ධՁ •
ߟ • ·ͱΊͱࠓޙͷ՝ !3
എܠͱత !4
Interop Tokyo ShowNet 2018 • 900Λ͑ΔཧɾԾػث܈ • ΄΅શͯͷػث͕syslogΛૹ৴ • ߏஙظؒʹड৴͢Δsyslogྔ
• 2ສ݅/ඵʢ20k/secʣ • 1ԯ̓ઍສ݅/ !5
ShowNetʹ͓͚Δϩάͷӡ༻ • େྔͷϩάΛੵ͢Δ • େྔͷϩά͔Βݕࡧ͢Δ • ΠϯγσϯτରԠͷͨΊʹϩάΛݕࡧ͢Δ • τϥϒϧγϡʔτͷͨΊʹϩάΛݕࡧ͢Δ •
ϩά͔Β౷ܭใΛऔಘ͢Δ • ߜΓࠐΜͩݕࡧใΛ౷ܭใͱͯ͠දࣔ͢Δ !6
طଘͷղܾࡦ • HadoopΤίγεςϜʢSpark, Impala, Hive, …ʣ • OSSʢElasticsearch + Kibana,
fluentd, …ʣ • ༻ϓϩμΫτʢSplunk, VMware Loginsight, …ʣ • ΫϥυαʔϏεʢGoogle BigQuery, Treasure Data, …ʣ !7
େ͖ͳ • ϩάͷߏԽ͕Ͱ͖ͳ͍ • ػࡐʹ౷Ұੑ͕ͳ͍ɾ࠷৽ͷϑΝʔϜ͗ͯ͢ใ͕ͳ͍ • ετϦʔϛϯάॲཧ͕͍͠ྲྀྔ • ϩάͷྲྀྔ͕ଟ͗ͯ͢ॲཧ͕͍͔ͭͳ͍ •
όονॲཧ͕͍͔ͭͳ͍ • όονॲཧ͕ࢦఆ࣌ؒʹऴΘΒͳ͍ • ࢄॲཧγεςϜ͕ෳࡶ͗͢Δ • ཧίετ͕ലେ !8
త • ܰྔʹߏஙɾӡ༻͕ߦ͑ΔγεςϜͷ࣮ݱ • γϯϓϧͰεέʔϧΞοϓՄೳͳγεςϜͷ࣮ݱ • ݕࡧੑೳ͕CPUʢίΞʣੑೳʹൺྫͯ͠ૣ͘ͳΔ • ෳࡶͳཧػߏΛඋ͑ͳ͍ !9
)BZBCVTBʹ͍ͭͯ !10
Hayabusaͱʁ • େྔͷϩάΛߴʹݕࡧ͢Δʢ17ԯϨίʔυͷશจݕࡧ͕5ඵʣ • ελϯυΞϩϯαʔόͰಈ࡞͢Δ • ϚϧνίΞΛ༗ޮʹ͍ɺߴͳฒྻݕࡧॲཧΛ࣮ݱ͢Δ
StoreEngine • σΟεΫʹॻ͖ࠐ·ΕͨϩάΛߴʹಡΈࠐΉ • ಡΈࠐΜͩϩάΛSQLite3ͷϑΝΠϧͱมʢ1ߦ1Ϩίʔυʣ • SQLite3ͷશจݕࡧʹಛԽͨ͠FTS(Full Text Search)ܗࣜͰinsert •
࣌ؒσΟϨΫτϦߏʹରԠ : /targetdir/yyyy/mm/dd/hh/min.db StoreEngine
SearchEngine • GNU ParallelΛ༻͍ͯSQLite3ϑΝΠϧฒྻݕࡧΛ͔͚Δ $ parallel sqlite3 ::: target files
::: “select count(*) from xxx where logs match ‘keyword’;” • ݕࡧ݁ՌΛUNIXύΠϓϥΠϯΛ༻͍ͯɺawkcountίϚϯυͰूܭ $ parallel sqlite3 ::: target files ::: “select count(*) from xxx where logs match ‘keyword’;” | awk ‘{m+=$1} END{print m;}’ SeachEngine !13
શจݕࡧੑೳ • Apache SparkͱͷൺֱʢελϯυΞϩϯڥʣ • Apache SparkͱͷൺֱʢSpark x 3 +
HDFS vs Hayabusa x 1ʣ Hayabusa͕ ̐ഒߴ Hayabusa͕ 27ഒߴ
OSSͱͯ͠ެ։ • GitHubʹͯެ։ • https://github.com/hirolovesbeer/hayabusa !15
Hayabusaͷ • ελϯυΞϩϯڥ • ੑೳΛ্͛ΔʹεέʔϧΞοϓ͔͠ͳ͍ • εέʔϧΞοϓίετ • ࢄॲཧγεςϜͱͷࠩ •
ن͕େ͖͘ͳΕࢄॲཧγεςϜͷॲཧ͘ͳΔ • Hayabusa͍͔ͭੑೳ͕ൈ͔ΕΔ !16
ࢄ)BZBCVTBͷఏҊʢઃܭͱ࣮ʣ !17
త • HayabusaΛࢄॲཧγεςϜͱਐԽͤ͞ॲཧΛεέʔϧΞτͤ͞Δ • ελϯυΞϩϯͷੑೳੜ͔͠ଓ͚Δ • ࢄॲཧγεςϜͰ͋Δ͕γϯϓϧͳઃܭΛࢤ͢ • σʔλΛෳ͢Δ͜ͱͰোੑΛߴΊΔ !18
GNU ParallelͷϦϞʔτ࣮ߦ • ཧ : GNU ParallelͷϦϞʔτ࣮ߦΛར༻͢Εࢄ࣮ߦՄೳ $ time parallel
—controlmaster -S host1,host2,host3 sqlite3 ::: … • ݱ࣮ : sshͷΦʔόϔου͕͔͔Γॲཧ͕Ԇ ϗετ͕૿͑Δͱॲཧ͕࣌ؒ૿͑Δ
ఏҊख๏ • ࢄݕࡧ • ࣮ߦ͢ΔݕࡧॲཧΛRPCͱͯ͠HayabusaૹΓࠐΉ • ݁ՌΛRPCͷϨεϙϯεͱͯ͠ड͚औΓूܭ͢Δ • ฒྻੵ •
શͯͷϗετಉҰͷϦΫΤετ͕ಧ͍ͯಉ݁͡ՌΛฦ͢Α͏ʹ͢Δ • ࣄલʹશॲཧϗετͱϩάσʔλΛෳ͢Δ !20
ࢄHayabusaΞʔΩςΫνϟશ༰
ฒྻੵ • syslogΛෳϗετͱෳ͢Δ • શϗετͰಉҰͷsyslogΛड৴ • UDP SamplicatorʢOSSʣͷར༻ • syslogύέοτͷෳͱసૹ
• ෳॲཧͷίΞεέʔϧԽ • UDP SmaplicatorͷϚϧνϓϩηεԽ !22 syslogͷෳ
UDP SamplicatorͷϚϧνϓϩηεԽ • ϘτϧωοΫʹͳΓ͕ͪͳϓϩηεΛίΞεέʔϧ • SO_REUSEPORTΛར༻ͨ͠ϚϧνϓϩηεԽ • ͜ΕʹΑΓUDP 514ϙʔτ͕ෳϓϩηεͰγΣΞ͞ΕΔ socketΦϓγϣϯͷՃ
ۉʹsyslogసૹͷෛՙ͕ όϥϯε͞ΕΔ !23
ࢄݕࡧ • RPC • Producer / ConsumerϞσϧͷ࠾༻ • ࣮ •
ZeroMQͷPush / Pullύλʔϯ • ϦΫΤετͷϩʔυόϥϯε • Push / PullύλʔϯۉҰʹϦΫΤετΛϗετ͢Δ ZeroMQͷPush / Pullύλʔϯ !24
ࢄݕࡧ • ZeroMQΫϥΠΞϯτ • VentilatorͱSinkͷׂ • ZeroMQϫʔΧ • ड͚औͬͨॲཧϦΫΤετ Λ࣮ߦͯ݁͠ՌΛฦ͢
!25
ॲཧϦΫΤετ • ϦΫΤετ $ parallel sqlite3 ::: target files :::
“select count(*) from xxx where logs match ‘keyword’;” | awk ‘{m+=$1} END{print m;}’ ੨ࣈ : GNU ParallelͷίϚϯυΛ֤ॲཧϗετૹΓࠐΉ ࣈ : ΫϥΠΞϯτϗετͰ·ͱΊ͋͛Δ !26
΄΅ຊͳٙࣅίʔυ • ΫϥΠΞϯτ • Worker ࣮ߦίϚϯυ ίϚϯυΛ ϫʔΧૹ৴ ίϚϯυΛ࣮ߦ ݁ՌΛΫϥΠΞϯτૹ৴
݁ՌΛड͚λʔϛφϧදࣔ !27
ධՁ !28
࣮ݧڥ • Amazon Web Service (AWS) • EC2Πϯελϯε : c4.4xlarge
• vCPU : Xeon E5-2666 v3 @ 2.90GHz x 16 cores • ϝϞϦ : 30GB • σΟεΫʢEBSʣ : SSD 8GB (OS) + SSD 50GB (Data) • OS : Ubuntu 16.04.3 LTS (Xenial Xerus) !29
ࢄݕࡧ • ݕࡧͷ݅ • 1ͷσʔλʹରͯ͠100ճϦΫΤετΛ࣮ߦ͢Δ • 1ͷσʔλϑΝΠϧ60ʢ60ϑΝΠϧʣ x 24࣌ؒ =
1,440ϑΝΠϧ • 1ϑΝΠϧ͋ͨΓͷϨίʔυ10ສ݅ʢ1,440 x 10ສʹ1ԯ4400ສϨίʔυʣ • 100ճͷϦΫΤετͰ144ԯϨίʔυ͕ରͱͳΔ • ࣮ߦ͢ΔSQLจҎԼͰશจݕࡧͱΧϯτ • select count(*) from syslog where logs match ‘keyword’; !30
ࢄݕࡧʢϗετεέʔϧΞτʣ • ϗετΛ1͔Β10૿Ճͤ͞Δ • 1Ͱ249ඵ͔Β10Ͱ39ඵ·Ͱॖʢ10ճࢼߦฏۉʣ
ࢄݕࡧʢϗετεέʔϧΞτʣ • ϗετΛ1͔Β10૿Ճͤ͞Δ • 1Ͱ249ඵ͔Β10Ͱ39ඵ·Ͱॖʢ10ճࢼߦฏۉʣ Ϋϥυڥෆ҆ఆ ʢϕετΤϑΥʔτʣ
ࢄݕࡧʢWorkerεέʔϧΞτʣ • ϗετ10ɺ͔ͭ1͋ͨΓͷϫʔΧΛ1͔Β16·Ͱ૿Ճͤ͞Δ • 1ϗετ1 worker 249ඵ͔Β10ϗετ10 workerͰ6.8ඵ·Ͱॖ ͜ͷลΓ͕࠷ *0ڝ߹͕ى͖Δ͔Β͔
͔ΘΒͣ
݁Ռͷ·ͱΊ • ॲཧੑೳ • ϗετ10ͷ߹ : ϗετ1ͷ10ഒૣ͘ͳΔʢ249ඵ -> 39ඵʣ •
ϗετ10ͰϫʔΧΛ૿Ճ : ૯ϫʔΧ10ʙ160Ͱ 249ඵ -> 6.8ඵ • ϨίʔυΛϑϧεΩϟϯˍશจݕࡧͨ݁͠Ռ • 144ԯϨίʔυ͔ΒඞཁͳσʔλΛൈ͖ग़͢ͷʹ6.8ඵ·ͰߴԽ • 10ͷϗετͰ36ഒͷߴԽΛ࣮ݱ !34
Amazon Elastic MapReduceͱͷൺֱ • Amazon EMR : ΠϯελϯεHayabusaͱಉ͡c4.4xlarge • ߏ1Ϛελʔϊʔυ
+ 10 ίΞϊʔυ • σʔλͷΞΫηε • EMR͔ΒAmazon S3μΠϨΫτʹ ΞΫηε • શจݕࡧͷํ๏ • ϚελʔϊʔυͷPySpark͔Βߦ͏ JNQPSUUJNF GSPNQZTQBSLTRMJNQPSU42-$POUFYU TRM$POUFYU42-$POUFYU TD MJOFTTDUFYU'JMF TBCFXPSLTTECFODINBSLMPH pMFTLL MPH MJOFTDBDIF GPSJJOSBOHF TUBSUUJNFUJNF <MJOFTpMUFS MBNCEBTOPDJO T DPVOU GPSJJOSBOHF >FMBQTFE@UJNFUJNFUJNF TUBSUQSJOUFMBQTFE@UJNF 1Z4QBSLͰ࣮ߦ͢Δίʔυ
Amazon Elastic Mapreduceͱͷൺֱ • ࣮ߦ݁Ռ • 10ͷߏͰ17ഒHayabusaͷํ͕ߴʹಈ࡞
ߟ !37
ݕࡧͷεέʔϧΞτ • 144ԯ͔ΒඞཁͳσʔλΛൈ͖ग़͢ͷʹ6.8ඵ·ͰߴԽ • 2લͷBigQueryͷϑϧεΩϟϯ͕120ԯϨίʔυͰ5ඵ • 10ͷϗετͰ36ഒͷߴԽΛ࣮ݱ • BigQueryԿඦɺԿઍͷϗετ͕ಉ࣌ʹಈ͍͍ͯΔ͔ෆ໌ •
Amazon Elastic MapReduceͱͷൺֱ • 10ͷߏͰ17ഒHayabusaͷํ͕ߴʹશจݕࡧՄೳ • γεςϜͷίετΛߟ͑ͨ߹ • ϦʔζφϒϧͰߴੑೳͳࢄݕࡧॲཧ͕࣮ݱͰ͖ͨ !38
ੵͷฒྻԽ • syslogͷෳͷ • େྔͷσʔλʢύέοτʣͷෳͰଳҬΛѹഭ͢Δ • ຊདྷͰ͋ΕHDFSͷΑ͏ʹࢄϑΝΠϧγεςϜΛ͏͖ • ϝλσʔλػߏΛܦ༝ͯ͠σʔλʹΞΫηε͢ΔͨΊຊ࣭తʹ͘ͳΔ •
ࢄϑΝΠϧγεςϜͱ͍ͯ͠ʢҰͭͷݚڀʣ • γϯϓϧ͞ͷٻͷ݁Ռ • อ࣋σʔλ͕ػثͷނোͰফࣦͨ͠ͱͯ͠ෳ͕ΔɾނোػΛ֎͚ͩ͢ • ࢄϑΝΠϧγεςϜͷΑ͏ʹ࠶ஔॲཧ͕ෆཁ !39
γϯϓϧͳઃܭʹΑΔӡ༻ͷ؆ུԽ • ࢄݕࡧ • Procedure / ConsumerϞσϧͰ࣮ݱ • ϓϩηε࣮ߦεέδϡʔϥGNU Parallelʹґଘ
• ෳࡶͳࢄγεςϜΛΘͳ͍ར • τϥϒϧѲͷߴԽ • γεςϜӡ༻ෛՙͷܰݮ !40
ߴԽͷ؊ • ׂΓΓઃܭ • ϦτϥΠॲཧ/Τϥʔॲཧະ࣮ • εέδϡʔϥ • ZeroMQͱGnu Parallelʹ͓ͤ
• ετϨʔδ • ࢄอଘͤͣ͞ʹෳΛอ࣋
ϋʔυΣΞʹґଘ͢Δ • CPU Core • ૣ͚Εૣ͍΄Ͳྑ͍ • CoreͷΑΓΫϩοΫ͕ͦͦ͜͜ૣ͍ํ͕͕ग़Δ͜ͱ͋Δ • σΟεΫ
• SSDNVMeʢͦΓΌૣ͍ʹܾ·͍ͬͯΔʣ • I/OੑೳΛҾ͖ग़͢
ଞͷγεςϜͱͷൺֱ • શจݕࡧͰApache Sparkͱൺֱͨ͠ • Elasticsearchͱͷൺֱʁ • Ͳ͏ͬͯൺΔʁ • ΤϯδϯͷʁʢElasticsearchͱͯૣ͍ʣ
• ݺͼग़͠APIͷՃຯ͢ΔʁʢREST APIݺͼग़͠ͱ͍ͯʣ • Write & Read • ॻ͖ͳ͕ΒಡΈࠐΜͩ߹ʁ
·ͱΊͱࠓޙͷ՝ !44
·ͱΊ • HayabusaͷࢄγεςϜԽͷઃܭͱ࣮ • 144ԯϨίʔυͷsyslogϑϧεΩϟϯˍશจݕࡧΛ6.8ඵͰ࣮ݱ • ϚϧνϕϯμػثΛରͱͨ͠ɺେྔͷෆἧ͍ͳϩάΛߴʹݕࡧՄೳ • τϥϒϧγϡʔτɾΠϯγσϯτϨεϙϯεΛஶ͘͠ॖ͢ΔՄೳੑ •
γϯϓϧͳࢄॲཧߏʹΑΔཧͷ༰қੑ !45
ࠓޙͷ՝ • ଞͷιϑτΣΞͱͷൺֱʢBigQuery, ElasticSearch, Splunkʣ • HayabusaͱଞͷΞϓϦέʔγϣϯͱͷ༥߹ʢΞϊϚϦݕͳͲʣ • Hayabusaͱ౷ܭॲཧϥΠϒϥϦػցֶशϥΠϒϥϦͱͷ݁߹ •
ࢄϑΝΠϧγεςϜɾࢄετϨʔδͷ࣮ !46
ँࣙ • ຊݚڀͷҰ෦ɺࠃཱݚڀ։ൃ๏ਓՊֶٕज़ৼڵػߏʢJSTʣͷݚڀՌ ൃలࣄۀʮઓུతݚڀਪਐࣄۀʢCRESTʣJPMJCR1783ʯͷࢧԉʹ ΑͬͯߦΘΕͨ
None