Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Understanding distributed processing in Python

Avatar for chie8842 chie8842
June 16, 2019
Technology
2.3k
2

Understanding distributed processing in Python

#pyconth2019
https://th.pycon.org/talks/#row-47
Slides of my talk at PyConTh2019

Avatar for chie8842

chie8842

June 16, 2019

More Decks by chie8842

See All by chie8842
MongoDB Atlas：モダンなアプリ開発を支えるデータプラットフォームのご紹介
Avatar for chie8842 chie8842
0
50
MongoDB Vectorsearchではじめるカスタマイズ可能な生成AIアプリ開発
Avatar for chie8842 chie8842
0
54
MongoDB Atlas Search のご紹介
Avatar for chie8842 chie8842
2
2.4k
MongoDB Atlas Vectorsearchではじめる生成AIアプリ開発
Avatar for chie8842 chie8842
3
2k
AWS GlueとAWS Lake Formationではじめるデータマネジメント
Avatar for chie8842 chie8842
0
1.2k
Distributed Processing in Python
Avatar for chie8842 chie8842
2
870
クックパッドにおける推薦（と検索）の取り組み
Avatar for chie8842 chie8842
20
8.2k
Performance Tuning Tips of TensorFlow Inference
Avatar for chie8842 chie8842
1
790
クックパッドにおけるCloud AutoML事例
Avatar for chie8842 chie8842
9
8.2k

Other Decks in Technology

See All in Technology
AI時代のエンジニアキャリアについて今一度考える
Avatar for Sakamoto sakamoto_582
1
1.1k
Claude Code 珍プレー好プレー
Avatar for Shinya Saita shinyasaita
0
140
勉強会企画をアプリで構造化してみた 〜そこで見えた、AIとの付き合い方〜 / I've structured a study group plan using an app.
Avatar for Pauli pauli
0
300
Terraform 101 (初心者向け) 資料
Avatar for Shu Adachi shuadachi
0
170
5分でわかるDuckDB Quack
Avatar for chanyou0311 chanyou0311
4
310
AIに「使われる」時代のSaaS戦略 〜既存WebAPIのMCPサーバー化における開発ノウハウ〜
Avatar for 駅すぱあと API ekispert_api
0
290
SRE歴2ヶ月でも開発6年の知見を活かして、チームで止まっていた環境改善を前に進めた話
Avatar for a_ono a_ono
0
190
「ちゃんとやっている」は独りよがりだった ― 不安に寄り添うインシデント対応へ / Towards incident response that addresses anxieties
Avatar for mekka chmikata
1
350
はてなのサービス基盤を支える Kubernetes《足腰》
Avatar for masayosu masayoshimaezawa
0
430
“全部コピーしない”ファイルデータの活用 ： — FSx for ONTAP × S3 Tables × Icebergで作るメタデータカタログ
Avatar for Yoshiki Fujiwara yoshiki0705
0
380
飲食店もAIで。レジ締めやハンディシステムをつくってる話 / Using AI for restaurant management
Avatar for VTRyo vtryo
0
240
End-to-Endで考える信頼性 — LINEアプリにおける クライアント開発×SRE連携の実践
Avatar for maru maruloop
0
130

Featured

See All Featured
Become a Pro
Avatar for Speaker Deck speakerdeck
PRO
31
6k
Embracing the Ebb and Flow
Avatar for Simon Collison colly
88
5.1k
The State of eCommerce SEO: How to Win in Today's Products SERPs - #SEOweek
Avatar for Aleyda Solis aleyda
2
11k
What the history of the web can teach us about the future of AI
Avatar for Ines Montani inesmontani
PRO
1
630
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
Avatar for Beat Signer signer
PRO
0
3.6k
Prompt Engineering for Job Search
Avatar for Mfonobong Umondia mfonobong
0
360
Navigating the moral maze — ethical principles for Al-driven product design
Avatar for Skipper Chong Warson skipperchong
2
400
The Impact of AI in SEO - AI Overviews June 2024 Edition
Avatar for Aleyda Solis aleyda
5
1.1k
Building a A Zero-Code AI SEO Workflow
Avatar for Ian Lurie portentint
PRO
0
620
The Illustrated Children's Guide to Kubernetes
Avatar for Chris Short chrisshort
51
52k
The Success of Rails: Ensuring Growth for the Next 100 Years
Avatar for Eileen M. Uchitelle eileencodes
47
8.2k
Stop Working from a Prison Cell
Avatar for Chris Michel hatefulcrawdad
274
21k

Transcript

  1. Understanding distributed processing in Python Chie Hayashida

  2. $IJF)BZBTIJEB !DIJF) • 4PGUXBSF&OHJOFFSBU$PPLQBE GSPN+BQBO! • EFWFMPQBOEDPOUSJCVUFUPTPNF044 XSJUFBSUJDMFT BOENBLF QSFTFOUBUJPOT

    • 8POGJSTUQSJ[FBUSF*OWFOU (BNF%BZ

  3. $PPLQBE ‒ worldʼs largest recipe sharing platform Try it

  4. $PPLQBE JTHMPCBMTFSWJDF

  5. "HFOEB •CBTJDLOPXMFEHFPG DPODVSSFOUQBSBMMFMEJTUSJCVUFEQSPDFTTJOH •QBSBMMFMQSPDFTTJOHJO1ZUIPO •EJTUSJCVUFEQSPDFTTJOHJO1ZUIPO

  6. %JTDMBJNFS • 8IBUEP*UBML • CBTJDBSDIJUFDUVSFPGQBSBMMFMEJTUSJCVUFE QSPDFTTJOH DPNQVUJOH MJCSBSJFTJO1ZUIPO • 8IBUEP*OPU

    UBML • IPXUPJOTUBMMBOETFUVQFBDIMJCSBSJFT • VTBHFTPGEFUBJMFE"1*TPGXIBUXFJOUSPEVDF

  7. 8IFOXFVTFQBSBMMFMEJTUSJCVUFE QSPDFTTJOH FH •%PXOMPBEMBSHFEBUBJOTIPSUUJNF •6TFMBSHFEBUBGPS%BUBBOBMZTJTPS .BDIJOF-FBSOJOH •)BOEMFBMPUPGSFRVFTUTTJNVMUBOFPVTMZ BU8FC4JUF

  8. 28IBUJT UIFEJGGFSFODFPGCFMPX •$PODVSSFOUQSPDFTTJOH •1BSBMMFMQSPDFTTJOH

  9. l$PODVSSFOUQSPDFTTJOHzBOE l1BSBMMFM1SPDFTTJOHz $PODVSSFODZJTBCPVU EFBMJOHXJUI MPUTPG UIJOHTBUPODF 1BSBMMFMJTNJTBCPVU EPJOH MPUTPGUIJOHTBUPODF 

    3PC1JLFIUUQTUBMLTHPMBOHPSHXB[BTMJEF

  10. l$PODVSSFOUQSPDFTTJOHzBOE l1BSBMMFM1SPDFTTJOHz )FSFJT$PODVSSFOU )FSFJTQBSBMMFMBOEBMTPDPODVSSFOU

  11. $PODVSSFOUBOEQBSBMMFMQSPHSBNTDIFNF •$PODVSSFOUQSPHSBNTDIFNF $PODVSSFOU 1SPHSBN 1SPDFTT 1SPDFTT TDIFEVMFS $16 1SPDFTT 2VFVF

    1BSBMMFM 1SPHSBN 1SPDFTT 1SPDFTT $16 $16 •1BSBMMFMQSPHSBNTDIFNF

  12. 28IBUJT UIFEJGGFSFODFPGCFMPX •1BSBMMFMQSPDFTTJOH •%JTUSJCVUFEQSPDFTTJOH

  13. l1BSBMMFMQSPDFTTJOHzBOEl%JTUSJCVUFEQSPDFTTJOHz • 1BSBMMFMQSPDFTTJOH 1SPDFTTPS T .FNPSZ 1SPDFTTPS T .FNPSZ 1SPDFTTPS

    T .FNPSZ 1SPDFTTPS 1SPDFTTPS 1SPDFTTPS .FNPSZ • %JTUSJCVUFEQSPDFTTJOH /8 /8 /8 QSPDFTTPSTIBSFTNFNPSZ*OQBSBMMFMQSPDFTTJOH POUIFPUIFSIBOEQSPDFTTPSTIBTPXONFNPSJFTJOEJTUSJCVUFEQSPDFTTJOH

  14. 8IFOBOEIPXTIPVMEXF VTFQBSBMMFMEJTUSJCVUFE BSDIJUFDUVSFJO1ZUIPO

  15. UISFBEJOHBOENVMUJQSPDFTTJOH •1ZUIPOIBTPGGJDJBMNPEVMFTGPSQBSBMMFMQSPDFTTJOH • l#BUUFSZJODMVEFEz •8FDBOQBSBMMFMJ[FPVSQSPHSBNXJUIPVUBOZUIJSE QBSUZMJCSBSJFT

  16. UISFBEJOH • UISFBEJOHNPEVMFEJWJEFTPOFQSPDFTTJOUPNVMUJQMF UISFBET .BJO5ISFBE 5ISFBE 5ISFBE 1SPDFTT

  17. UISFBEJOH • (*- (MPCBM *OUFSQSFUFS-PDL MJNJUTPOMZPOFUISFBEDBOCF JOBTUBUFPGFYFDVUJPOBUBOZQPJOUJOUJNFJO$1ZUIPO 1SPDFTT 5ISFBE 

    5ISFBE  5ISFBE  SVO BXBJU BXBJU SVO BXBJU SVO SVO SVO BXBJU BXBJU SVO "DRVJSF-PDL

  18. 8IZ(*- • 5ISFBETJOQSPDFTTVTFTTBNFNFNPSZTQBDF • (*-XBTDIPTFOUPQSPUFDUUIFJOUFSOBMNFNPSZVTFECZ UIFJOUFSQSFUFS QSPDFTT UISFBE UISFBE .FNPSZ4QBDF

  19. *OXIBUTJUVBUJPOTJTUISFBEJOH FGGFDUJWF • 5BTLTXIJDIJT*0 CPVOETVDIBT • SFBEXSJUFGJMFT • %#DPOOFDUJPO •

    %PXOMPBEEBUBGSPN/8 1SPDFTT 5ISFBE  5ISFBE  5ISFBE  SVO BXBJU BXBJU SVO BXBJU SVO SVO SVO BXBJU BXBJU SVO "DRVJSF-PDL

  20. *OXIBUTJUVBUJPOTJTUISFBEJOH FGGFDUJWF • 5BTLTXIJDIJT*0 CPVOETVDIBT • SFBEXSJUFGJMFT • %#DPOOFDUJPO •

    %PXOMPBEEBUBGSPN/8 1SPDFTT 5ISFBE  5ISFBE  5ISFBE  SVO BXBJU BXBJU SVO BXBJU SVO SVO SVO *0 BXBJU SVO "DRVJSF -PDL *0 *0 *0 VTF$16 EPOPUVTF$16

  21. NVMUJQSPDFTTJOH •NVMUJQSPDFTTJOHTQBXOTQSPDFTTFTGPS QBSBMMFMJ[BUJPO •QBSBMMFMJ[FJOCPUIMPDBMBOESFNPUF .BJO1SPDFTT $IJME1SPDFTT $IJME1SPDFTT

  22. NVMUJQSPDFTTJOH • FBDIQSPDFTTFTIBTJUTPXONFNPSZTQBDF • /PUBGGFDUFECZ(*- • -FTTMJLFMZUPDBVTFFSSPSTEVFUPEBUBDPSSVQUJPOPS EFBEMPDL .BJO1SPDFTT $IJME1SPDFTT

    $IJME1SPDFTT PTGPSL .FNPSZ4QBDF .FNPSZ4QBDF $PQZ .FNPSZ4QBDF $PQZ

  23. *OXIBUTJUVBUJPOTJTNVMUJUISFBEJOH FGGFDUJWF • 5BTLTXIJDIJT$16CPVOETVDIBT • /VNFSJDBMDBMDVSBUJPO • 3FHVMBSFYQSFTTJPOQSPDFTTJOH • #VUUIFQFSGPSNBODFJO1ZUIPO`TNVMUJQSPDFTTJOHEPFTO`U

    JODSFBTFMJOFBSMZ

  24. NVMUJQSPDFTTJOH • 5IFSFJTPWFSIFBEEVFUPDPNNVOJDBUJPO CFUXFFOQBSFOUQSPDFTTBOEDIJMEQSPDFTT .BJO1SPDFTT $IJME1SPDFTT $IJME1SPDFTT PTGPSL .FNPSZ4QBDF .FNPSZ4QBDF

    $PQZ .FNPSZ4QBDF $PQZ

  25. NVMUJQSPDFTTJOH •UIFNBYOVNCFSPGUBTLTXIJDIDBOCFSVO TJNVMUBOFPVTMZJTSFTUSJDUFEUP$16OVNCFS 5BTL 5BTL 5BTL 5BTL 5BTL 5BTL $16

    $16

  26. +PCMJC • UIJSEQBSUZMJCSBSZGPSQBSBMMFMQSPDFTTJOHJO1ZUIPO • +PCMJC DBOVTF UISFBEJOHPSNVMUJQSPDFTTJOHGPSCBDLFOE • MB[ZFWBMVBUJPOVTJOHUSBOTQBSFOUEJTLDBDIJOHPGUIF PVUQVU

    • FBTZBOETJNQMFDPEJOH • MPHHJOHBOEUSBDJOHPGUIFFYFDVUJPO https://joblib.readthedocs.io/

  27. 4VNNBSZVQUPIFSF • 1ZUIPOIBTPGGJDJBMNPEVMFTGPSQBSBMMFMQSPDFTTJOH • UISFBEJOHJTFGGFDUJWFUP*0CPVOEQSPDFTTJOH • NVMUJQSPDFTTJOHJTFGGFDUJWFUP$16CPVOEQSPDFTTJOH • CPUIPGUXPBSFNBJOMZGPSPOMZGPSQSPDFTTFTSVOBUPOMZ POFNBDIJOF

    • TPNFPGEBUBMJCSBSJFTUSBOTQBSFOUMZVTFUIFTFQBSBMMFM QSPDFTTJOHMJCSBSJFT

  28. %JTUSJCVUFEQSPDFTTJOHJO1ZUIPO • 8IFOXFVTFMBSHFEBUBXIJDIDPVMEO`UQSPDFTTJOPOF NBDIJOF XFIBWFUPDPOTJEFSBCPVUEJTUSJCVUFE QSPDFTTJOH • QSPQFSUJFTXIJDITIPVMECFJODMVEFEJOEJTUSJCVUFE GSBNFXPSL •

    "VUPNBUJDSFDPWFSZ GSPNFSSPS • 5BTLEJWJTJPO KPCTDIFEVMJOH • 5PPMTGPS.POJUPSJOH %FCVHHBCJMJUZ

  29. %JTUSJCVUFEQSPDFTTJOHJO1ZUIPO *JOUSPEVDFUISFFGBNPVTMJCSBSJFTGPS EJTUSJCVUFEQSPDFTTJOHJO1ZUIPO •$FMFSZ •%BTL •1Z4QBSL

  30. $FMFSZ •EJTUSJCVUFEUBTLRVFVFCVJMUJO1ZUIPO •TJNQMFBOEGMFYJCMFBSDIJUFDUVSF • &WFSZQBSUTDBOCFFYUFOE • IFBWJMZVTFEGPSUBTLCBTFEXPSLMPBETJO 1ZUIPO • XJUI%KBOHP

    • "JSGMPXCBDLFOE

  31. $FMFSZ"SDIJUFDUVSF $MJFOU CSPLFS 3BCCJU.2 3FEJT  424 FUD 2VFVF 2VFVF

    2VFVF 8PSLFS $POTVNFS 8PSLFS $POTVNFS #BDLFOE 3FTVMUT 3FEJT FUD 8PSLFS $POTVNFS 8PSLFS $POTVNFS

  32. *OXIBUTJUVBUJPOTJTDFMFSZFGGFDUJWF  • 8IFOUIFUBTLJTTJNQMFCVUUIFBNPVOUPGEBUBJTUPP NVDIGPSPOFNBDIJOF • 8IFOZPVXBOUUPVTFJUXJUIBOPUIFSGSBNFXPSLTVDIBT %KBOHP

  33. %BTL • EJTUSJCVUFEQSPDFTTJOHGSBNFXPSLCVJMUJO1ZUIPO • CFBCMFUPVTF/VN1Z1BOEBT-JTUTMJLFQBSBMMFM PCKFDUT EBTLBSSBZ EBTLEBUBGSBNF EBTLCBH BOE"1*T

    • 4DIFEVMFSJTDVTUPNJ[BCMFUPHFUHPPEQFSGPSNBODFGPS CPUIGPSQBSBMMFMQSPDFTTJOHPOMPDBMNBDIJOFBOEGPS EJTUSJCVUFEQSPDFTTJOHPODMVTUFS • )BTHPPE8FC*OUFSGBDFGPSSFBMUJNFKPCNPOJUPSJOH

  34. %BTL TDIFEVMFS http://docs.dask.org/en/latest/scheduling.html

  35. %BTL 8FC*OUFSGBDF

  36. *OXIBUTJUVBUJPOTJT%BTL FGGFDUJWF  • 8IFOXFXBOUUPQBSBMMFMJ[F/VN1ZPSQBOEBTQSPDFTTJOH • 8IFOUIFEBUBTJ[FGJUTPOFUP NBDIJOFT

  37. 1Z4QBSL • CVJMEJO+BWBBOEIBT1ZUIPO*OUFSGBDF • DBOCFNPSFTDBMFPVUUIBODFMFSZBOEEBTL • 0SJHJOBMMZCVJMUUPSVOPOB)BEPPQDMVTUFS • GBTUBOEDPTUFGGJDJFOUQSPDFTTJOH •

    )BTHPPE8FC*OUFSGBDFGPSSFBMUJNFKPCNPOJUPSJOH • NVMUJGVODUJPOBM • TUSFBN "1* • NBDIJOFMFBSOJOH"1* • DBOCFVTFJONBOBHFNFOUTFSWJDFJODMPVETFSWJDF

  38. 1Z4QBSL • CVJMEJO+BWBBOEIBT1ZUIPO*OUFSGBDF only with partial API

  39. 1Z4QBSL • DBOCFNPSFTDBMFPVUUIBODFMFSZBOE%BTL node number 1 4-5 thousands

  40. *OXIBUTJUVBUJPOTJT1Z4QBSL FGGFDUJWF  • 8IFOXFXBOUUPSVODPNQMFYUBTLTXJUIBMBSHFBNPVOU PGEBUB • 8IFOXFIBWF)BEPPQDMVTUFS

  41. 4VNNBSZ • &YQMBJOFEBCPVUUIFEJGGFSFODFPG DPODVSSFOUQBSBMMFMEJTUSJCVUFEQSPDFTTJOH •*OUSPEVDFEUIFBSDIJUFDUVSFPG QBSBMMFMEJTUSJCVUFE QSPDFTTJOHMJCSBSJFT

  42. DPVMEO`UJOUSPEVDF • BTZODJP • DPODVSSFOUGVUVSF • "OPUIFSUIJSEQBSUZMJCSBSJFT

  43. %PObUCFBGSBJEUPVTFQBSBMMFM QSPDFTTJOHNPSF

  44. 2VFTUJPO