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Google BigQuery の話 #gcpja
Naoya Ito
September 17, 2014
Technology
17
4.8k
Google BigQuery の話 #gcpja
gcp ja night で話した BigQuery のスライド。YAPC::Asia のものに数枚だけスライドを追加したもので、ほぼ同じです。
Naoya Ito
September 17, 2014
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Transcript
(PPHMF#JH2VFSZͷ /BPZB*UP ,"*;&/QMBUGPSN*OD HDQKBOJHIU
ΞδΣϯμ • #JH2VFSZ֓؍ • #JH2VFSZͷ෦ • ,"*;&/QMBUGPSN*ODͰͷ͍Ͳ͜Ζ
#JH2VFSZ֓؍
(PPHMF#JH2VFSZ
None
#JH2VFSZͱ • ڊେͳσʔλͷ42- ͳͲ ΛඵͰ࣮ߦ͢ΔΫϥυαʔϏε – ԯϨίʔυΛඵ ˞ –
8FCΠϯλʔϑΣʔε͓Αͼ3&45"1* • (PPHMFࣾͰΘΕ͖ͯͨ%SFNFMΛαʔϏεԽ – ݄$MPTFEϦϦʔε – ݄Ұൠެ։ – ܧଓతʹόʔδϣϯΞοϓ – ݄#JH2VFSZ4USFBNJOH ˞(PPHMFͷދͷࢠʮ#JH2VFSZʯΛ'MVFOUEϢʔβʔ͕Θͳ͍ཧ༝͕ͳ͘ͳͬͨཧ༝ IUUQRJJUBDPNLB[VOPSJJUFNTBDBDCCBBBG
ͲΜͳ͜ͱʹΘΕΔ͔ • Ϣʔεέʔε – ϩάղੳ – %BUBXBSF)PVTF – • ͍ͯͳ͍༻్ – ۀ%# ͍3%#.4Ͱ
ͳ͍Αɺͱ͍͏͜ͱ
#JH2VFSZͳ͍͔ͥ • جຊɺϑϧεΩϟϯͰ͕ΜΔ – 3%#.4ͷ#5SFFΠϯσοΫεͱ͔ͳ͍ • 42-Λࢄॲཧ – .11 .BTTJWFMZ1BSBMMFM1SPDFTTJOH
2VFSZ&OHJOF %SFNFM • ઍͷσΟεΫͱߴωοτϫʔΫͰεέʔϧΞτ – 5#ͷσʔλΛඵͰϦʔυ͢Δ*0
ͨͩ͠ • ͍3%#.4Ͱͳ͍ • େਓͰҰʹ͏ͷͰͳ͍ – ओʹόονॲཧʹ͏ • εΩʔϚϨεͰͳ͍ 5#نσʔλͰઢܗҎ ԼͰεέʔϧ͢Δ͕ɺٯ
ʹখ͞ͳσʔλͰඵ ͷΦʔόʔϔου͕͋Δ ͷͰ
BigQuery読書会、@harukasan 資料より引用
ଞͷྨࣅ࣮ͱͷϙδγϣχϯά • -BSHF#BUDI – ҆ఆͯ͠ڊେͳόονΛ࣮ߦͰ͖Δ – ΫΤϦ࣮ߦ࣌ͷΦʔόʔϔου͕େ͖͍ ेඵʙे –
.BQ3FEVDFɺ)BEPPQ )JWF • 4IPSU#BUDI – ΫΤϦ࣮ߦ࣌ͷΦʔόʔϔου͕NTʙඵ – ΞυϗοΫΫΤϦʹ͍͍ͯΔ – .112VFSZ&OHJOF1SFTUPɺ*NQBMBɺ#JH2VFSZ %SFNFM • 4USFBN1SPDFTTJOH – όον࣮ߦͰ͖ͳ͍͕ετϦʔϜʹରͯ͠ϦΞϧλΠϜॲཧͰ͖Δ – /PSJLSBɺ"QBDIF,BGLBɺ5XJUUFS4UPSNFUD "NB[PO3FETIJGU 4IPSU#BUDI ৄ͘͠ ͳ͍ͷͰলུ cf. Batch processing and Stream processing by SQL h;p://www.slideshare.net/tagomoris/hcj2014-‐sql
Ձ֨ • ྉۚ – σʔλอ(#݄ – ΫΤϦ5# εΩϟϯͨ͠σʔλͷαΠ ζ "NB[PO4ΑΓ࣮
͍҆ νέοτΒ͍·ͨ͠
#JH2VFSZͷ෦ ͚ͩ͢͜͠
(PPHMF#JH%BUB4UBDL • ʰ(PPHMFΛࢧ͑Δٕज़ʱ – #JH%BUB4UBDL – ('4ɺ#JH5BCMFɺ.BQ3FEVDFFUD • #JH%BUB4UBDL –
#JH%BUB4UBDLͷ্ʹߏங͞Εͨɺͷ՝Λղফ͢Δ࣮܈ – $PMPTTVT .FHBTUPSF 4QBOOFS 'MVNF+BWB %SFNFM طʹ(PPHMFࣾ #JH%BUB4UBDLͩ ͱ͔͍͏ͪΒ΄Β
#JH2VFSZͷٕज़ελοΫ (PPHMF'JMF4ZTUFN ('4 $PMPTTVT'JMF4ZTUFN $'4 $PMVNO*0 %SFNFM ࢄ'4
('4ͷվྑܕ'4 ৄࡉඇެ։ #JH2VFSZͷͨΊͷྻࢦϑΝΠϧ ϑΥʔϚοτ ฒྻ42-࣮ߦΤϯδϯ σʔληϯλʔΛ·͍ͨͰ ࢄ͞ΕͯΔσʔλΛฒྻ ͔ͭߴʹऔಘͰ͖ΔΒ͠ ͍
$PMVNO*0 Dremel: InteracIve Analysis of Web-‐Scale Datasets h;p://research.google.com/pubs/archive/36632.pdf ߦͰͳ͘ྻ୯ҐͰɻಛ
ఆྻΛγʔέϯγϟϧʹ ಡΊΔͭ$PMPTTVT ͰฒྻಡΈࠐΈ
%SFNFM Dremel: InteracIve Analysis of Web-‐Scale Datasets h;p://research.google.com/pubs/archive/36632.pdf
Root Mixer Mixer 1 Shard 0-‐8 Mixer 1
Shard 9-‐16 Mixer 1 Shard 17-‐24 Shard 0 Shard 10 Shard 12 Shard 20 Shard 24 Distributed Storage (e.g., CFS) Dremel serving tree Google BigQuery AnalyIcs P.284 Chapter 9 Understanding Query ExecuIon ࢄ
Root Mixer Mixer 1 Shard 0-‐8 Mixer 1
Shard 9-‐16 Mixer 1 Shard 17-‐24 Shard 0 Shard 10 Shard 12 Shard 20 Shard 24 Distributed Storage (e.g., CFS) Dremel serving tree Google BigQuery AnalyIcs P.284 Chapter 9 Understanding Query ExecuIon $'4 $PMVNO*0Ͱಛ ఆྻͷσʔλ͕Ұ෦ฦͬ ͯ͘Δ ࢄ ू
Root Mixer Mixer 1 Shard 0-‐8 Mixer 1
Shard 9-‐16 Mixer 1 Shard 17-‐24 Shard 0 Shard 10 Shard 12 Shard 20 Shard 24 Distributed Storage (e.g., CFS) Dremel serving tree Google BigQuery AnalyIcs P.284 Chapter 9 Understanding Query ExecuIon $'4 $PMVNO*0Ͱಛ ఆྻͷσʔλ͕Ұ෦ฦͬ ͯ͘Δ ྻΛॱ൪ʹಡΈߦ Λऔಘɻ8)&3&۟ͳ ͲΛݟͯඞཁͳߦͷΈ ʹߜΓϝϞϦͰอ࣋ ࢄ ू
Root Mixer Mixer 1 Shard 0-‐8 Mixer 1
Shard 9-‐16 Mixer 1 Shard 17-‐24 Shard 0 Shard 10 Shard 12 Shard 20 Shard 24 Distributed Storage (e.g., CFS) Dremel serving tree Google BigQuery AnalyIcs P.284 Chapter 9 Understanding Query ExecuIon $'4 $PMVNO*0Ͱಛ ఆྻͷσʔλ͕Ұ෦ฦͬ ͯ͘Δ ྻΛॱ൪ʹಡΈߦ Λऔಘɻ8)&3&۟ͳ ͲΛݟͯඞཁͳߦͷΈ ʹߜΓϝϞϦͰอ࣋ ֤TIBSE͔ΒσʔλΛू ɻྫ͑ιʔτ-*.*5 ͷߜΓࠐΈͳͲ͢Δ ࢄ ू
Root Mixer Mixer 1 Shard 0-‐8 Mixer 1
Shard 9-‐16 Mixer 1 Shard 17-‐24 Shard 0 Shard 10 Shard 12 Shard 20 Shard 24 Distributed Storage (e.g., CFS) Dremel serving tree Google BigQuery AnalyIcs P.284 Chapter 9 Understanding Query ExecuIon $'4 $PMVNO*0Ͱಛ ఆྻͷσʔλ͕Ұ෦ฦͬ ͯ͘Δ ྻΛॱ൪ʹಡΈߦ Λऔಘɻ8)&3&۟ͳ ͲΛݟͯඞཁͳߦͷΈ ʹߜΓϝϞϦͰอ࣋ ֤TIBSE͔ΒσʔλΛू ɻྫ͑ιʔτ-*.*5 ͷߜΓࠐΈͳͲ͢Δ ूͨ݁͠Ռ ΛDBMMFSʹฦ͢ ࢄ ू
#JH2VFSZͷ͍͢͝ॴ • ΧϥϜܕ*0ɺ42-ͷׂ౷࣏ – Ͱ͜Εɺ.11తʹ͘͠ͳ͍ • ͡Ό͋ɺ#JH2VFSZͷԿ͕͍͔͢͝ – (PPHMFͷͰ͔͍Πϯϑϥ
ׂͱ֖ͳ͍ŋŋŋ
͜ΜͳΫιΫΤϦͰඵɺ̐ඵͩ
,"*;&/QMBUGPSN*OD Ͱͷ͍Ͳ͜Ζ
Ϣʔεέʔε • ΞΫηεϩάͷอଘௐࠪ • ΞϓϦέʔγϣϯϩάͷղੳ %BUBXBSF )PVTF • "#ςετͷ༗ҙࠩఆ
ΞΫηεϩά
ΞΫηεϩά #JH2VFSZ • /HJOYͷϩάΛqVFOUQMVHJOCJHRVFSZͰ ૹΓଓ͚Δ – &&Ͱ҉߸Խ͞ΕͯΔΑ • Կ͔༻͕͋ͬͨΒ42-Ͱղੳ –
%BJMZ8FFLMZ.POUIMZ17 – ϓϩμΫγϣϯͷσόοά
qVFOUQMVHJOCJHRVFSZ • CZUBHPNPSJT͞ΜɺZVHVJ͞Μଞ • ઌ͔Β,"*;&/QMBUGPSN*OD͕ϝ ϯςφʹ – ࣮࣭ɺԶ QBUDIFTXFMDPNF Ͱ͢
ΞϓϦέʔγϣϯͷϩάղੳ
ϩάΛඈ͢ • 3BJMT͔ΒUEMPHHFSSVCZͰqVFOUE • qVFOUEQMVHJOCJHRVFSZͰ#2ʹඈ͢
ϩάΛඈ͢ܖػ • ϦΫΤετຖ – "QQMJDBUJPO$POUSPMMFS – ϩάΠϯϢʔβͷଐੑΛඈ͢ˠ%"6."6ͷ ࢉग़ʹ • Ϟσϧͷঢ়ଶมߋ࣌
– "DUJWF3FDPSE0CTFSWFS – ϞσϧຖʹదͳଐੑΛݟસͬͯඈ͢ – #JH2VFSZෳࡶͳ42-Ͱී௨ʹԠ͢Δ㱺ϓ ϩμΫτϚωʔδϟ͕ؾܰʹ42-ॻ͍ͯΔ
ਖ਼نԽ͋·Γ͠ͳ͍ • ελʔεΩʔϚ – %8)ͷఆ൪ͷϞσϦϯά • ϑΝΫτςʔϒϧŋŋŋϩά • ࣍ݩςʔϒϧŋŋŋϚελʔσʔλ ސ٬໊ͱ͔
– ਖ਼نԽ͠ͳ͍ͷ͕ηΦϦʔ
"#ςετ༗ҙࠩఆ • "#ςετͷαʔϏεͳͷͰ͆ • ৄࡉൿີ • SFRTFDͱ͔qVUFOEͰૹͬͯΔ ͚ͲͬͪΌΒ͞ – ˞SFRTFDͷ)551SFRVFTUqVFOUE͕όοϑΝϦϯά͢ΔͷͰ
#JH2VFSZͷ"1*ίʔϧͣͬͱগͳ͍
֎෦πʔϧͱͷଓ • ΤΫηϧ – #JH2VFSZ$POOFDUPSGPS&YDFMCZ(PPHMF – ϐϘοτੳʹ • %0.0 #*
– FYQFSJNFOUBMͳ#JH2VFSZΠϯλϑΣʔε ͋ͬͨ – 5BCMFBVϝδϟʔͲ͜ΖରԠ࢝͠ΊͯΔ
໘ͳͱ͜Ζ • qVFOUEQMVHJOCJHRVFSZ͕εΩʔϚϑΝΠϧΛཁٻ ͢Δ – ͕͔ͩ͠͠IBLPCFSB͞Μ͕QBUDIΛॻ͍ͯ͘Εͨ – W͔ΒGFUDI@TDIFNBػೳ͕͑ΔΑ • ࣍ݩςʔϒϧͷߋ৽
– 61%"5&Ͱ͖ͳ͍ͷͰ – ؒͱ͔ʹҰճফͯ͠࡞ΔɺΈ͍ͨͳ – 1SFTUPΈ͍ͨʹҧ͏σʔλιʔεΛ+0*/Ͱ͖ͨΓ͢Δͱخ ͍͠ͷ͕ͩŋŋŋ
࢛ํࢁͦͷ • 42-ͱ͍ͬͯඪ४42-͡Όͳ͍Α – 3&(&91@."5$) ͱ͔3&(&91@&953"$5 ͱ͔+40/ ͱ ͔501 ͱ͔
• ʮͲ͏ͤϑϧεΩϟϯͯ͠Δ͠ʯͱ͍͏લఏʹཱͭͱΑ ͍ – -&'5 '03."5@65$@64&$ UJNF BTEBZ (3061#:EBZͱ͔ – 3&(&91@&953"$5 UJUMF S aX BTGSBHNFOU(3061#: GSBHNFOU03%&3#:GSBHNFOU@DPVOUEFTDͱ͔ – αϒΫΤϦ7JFX
࢛ํࢁͦͷ • 61%"5&%&-&5&ͳ͍ – ཁΒͳ͍ΧϥϜʹOVMM • ΧϥϜܕ͔ͩΒOVMMͳΒ༰ྔ৯Θͳ͍ – εΩʔϚՃ؆୯ • ߋ৽جຊআͯ͠࡞Γ͠
࢛ํࢁͦͷ • (PPHMF"OBMZUJDT #JH2VFSZศརͦ͏ – ("ͷੜϩάΛ#JH2VFSZͰղੳͰ͖ΔΦϓγϣϯ – ͨͩ͠("ͷ༗ྉαʔϏε • Ͱ͔͍σʔλͷΠϯϙʔτ
– (PPHMF%BUB4UPSFʹஔ͍͔ͯΒΠϯϙʔτ͢Δͱߴ • 5BCMF%FDPSBUPST – σʔλͷ࣌ؒൣғΛࢦఆͯ͠ΫΤϦɻεΩϟϯରͷσʔλ͕খ͘͞ͳ ΔͷͰΫΤϦඅ༻ΛઅͰ͖Δ • +0*/੍ݶ.#ੲͷ – +0*/&"$)Λ͏ͱ.BQ3FEVDFͷTIV⒐FΈ͍ͨͳॲཧͰڊ େͳ+0*/ ԯYԯͱ͔ŋŋŋ ͯ͘͠ΕΔΑ
·ͱΊ • #JH2VFSZϑϧεΩϟϯͰͰ͔͍σʔλͷ 42-͕ඵͳαʔϏε • ΫιΫΤϦྗۀͰॲཧͪ͠Ό͏ΧοίΠΠ • ׂ౷࣏ (PPHMFͷ%$نͰ֖ͳ͍ ฒྻॲཧܥ
• όονɺϩάղੳͳΜ͔ʹ͑·͢ • ࢲ(PPHMFࣾͷճ͠ऀͰ͍͟͝·ͤΜ
5IBOLT ֆCZ͋ΘΏ͖