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
2.1k

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
Tweet

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
23
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
23
MongoDB Atlas Search のご紹介
Avatar for chie8842 chie8842
2
1.8k
MongoDB Atlas Vectorsearchではじめる生成AIアプリ開発
Avatar for chie8842 chie8842
3
1.8k
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
1.1k
Distributed Processing in Python
Avatar for chie8842 chie8842
2
770
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
8.1k
Performance Tuning Tips of TensorFlow Inference
Avatar for chie8842 chie8842
1
760
クックパッドにおけるCloud AutoML事例
Avatar for chie8842 chie8842
9
8k

Other Decks in Technology

See All in Technology
可観測性は開発環境から、開発環境にもオブザーバビリティ導入のススメ
Avatar for LayerX layerx
PRO
4
1.5k
What's new in OpenShift 4.20
Avatar for Red Hat Livestreaming redhatlivestreaming
0
320
serverless team topology
Avatar for kensh _kensh
3
240
AI AgentをLangflowでサクッと作って、1日働かせてみた！
Avatar for Yano-13 yano13
1
160
マルチエージェントのチームビルディング_2025-10-25
Avatar for shino shinoyamada
0
200
コンパウンド組織のCRE #cre_meetup
Avatar for LayerX layerx
PRO
1
280
SRE × マネジメントレイヤーが挑戦した組織・会社のオブザーバビリティ改革 ― ビジネス価値と信頼性を両立するリアルな挑戦
Avatar for coconala_engineer coconala_engineer
0
280
Azure Well-Architected Framework入門
Avatar for tomokusaba tomokusaba
1
140
オブザーバビリティと育てた ID管理・認証認可基盤の歩み / The Journey of an ID Management, Authentication, and Authorization Platform Nurtured with Observability
Avatar for 株式会社カミナシ kaminashi
1
1k
dbtとAIエージェントを組み合わせて見えたデータ調査の新しい形
Avatar for 10xinc 10xinc
6
1.2k
AIの個性を理解し、指揮する
Avatar for shoota shoota
1
220
入院医療費算定業務をAIで支援する：包括医療費支払い制度とDPCコーディング (公開版)
Avatar for Takashi Nishibayashi hagino3000
0
110

Featured

See All Featured
Git: the NoSQL Database
Avatar for Brandon Keepers bkeepers
PRO
431
66k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
Avatar for panda_program panda_program
116
20k
Large-scale JavaScript Application Architecture
Avatar for Addy Osmani addyosmani
514
110k
10 Git Anti Patterns You Should be Aware of
Avatar for Lemi Orhan Ergin lemiorhan
PRO
658
61k
Why Our Code Smells
Avatar for Brandon Keepers bkeepers
PRO
340
57k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
Avatar for Vitaly Friedman smashingmag
253
22k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
Avatar for Michelle Schulp Hunt marktimemedia
31
2.6k
JavaScript: Past, Present, and Future - NDC Porto 2020
Avatar for David Neal reverentgeek
52
5.7k
The Illustrated Children's Guide to Kubernetes
Avatar for Chris Short chrisshort
49
51k
Understanding Cognitive Biases in Performance Measurement
Avatar for Philip Tellis bluesmoon
31
2.7k
What's in a price? How to price your products and services
Avatar for Michael Herold michaelherold
246
12k
The Art of Delivering Value - GDevCon NA Keynote
Avatar for David Neal reverentgeek
16
1.7k

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