Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
GoとTOML
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Tatsuhiko Kubo
April 13, 2015
Technology
6.6k
8
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
GoとTOML
Tatsuhiko Kubo
April 13, 2015
More Decks by Tatsuhiko Kubo
See All by Tatsuhiko Kubo
Mackerel in さくらのクラウド
cubicdaiya
1
1k
Handling a tremendous amount of images with Fastly / Yamagoya Traverse 2020
cubicdaiya
2
1.6k
System Integration with Fastly
cubicdaiya
0
680
実例で学ぶ画像最適化集 with ImageFlux / ImageFlux meetup#2
cubicdaiya
4
20k
Software Engineer, Infrastructure
cubicdaiya
4
3.3k
High Performance Count Up!
cubicdaiya
0
430
ImageFluxを利用した画像配信の最適化 / ImageFlux meetup 201801
cubicdaiya
0
3.2k
Building high performance push notification server in Go
cubicdaiya
5
3.4k
メルカリのデータ分析基盤 / mercari data analysis infrastructure
cubicdaiya
11
12k
Other Decks in Technology
See All in Technology
AI-DLCって実際どう? 〜聞きたいこと全部聞いてみる〜
news_it_enj
0
200
AIで開発は速くなったのに、なぜ現場は楽にならないのか 〜あなたの組織のボトルネックを突き止めるワークショップ〜
jacopen
1
230
Webとヘルスデータ
yukukotani
0
150
リージョンの壁を越える、 ちょっと変わったAWSサービスの話
falken
PRO
0
160
【視聴者参加型!】AWSセキュリティアンチパターンクイズ
syoshie
0
170
Genie Code ワークショップ 基礎編 / Genie-Code-Workshop-fundamental
databricksjapan
PRO
0
310
Amazon S3 Tablesに全部任せてみた結果——コンパクション/スナップショット管理は本当に手放せるか
shigeruoda
0
290
DINO-EdgeQuery:Edge-First Polygon Decoding for Building Footprint Extraction from Satellite Imagery
lehupa
0
130
AIで実装は速くなった。なのにプロダクトは速くならない。職能の壁を越えて価値のフローを設計する
nwiizo
6
6.2k
生成AI時代の クレデンシャルとパーミッション設計
nrinetcom
PRO
3
1.4k
現場に行くだけでは足りない——プロダクトエンジニアが業務の流れを捉える観点と、その鍛え方
takumiengineering
0
190
[RSJ26] Building a VLA Model Based on Self-Distilled Classification
keio_smilab
PRO
0
180
Featured
See All Featured
Git: the NoSQL Database
bkeepers
PRO
432
67k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
260
XXLCSS - How to scale CSS and keep your sanity
sugarenia
249
1.3M
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
510
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
230
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
1
370
New Earth Scene 8
popppiees
3
2.5k
Public Speaking Without Barfing On Your Shoes - THAT 2023
reverentgeek
1
550
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
1
2.9k
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
2
4.3k
Evolving SEO for Evolving Search Engines
ryanjones
0
280
Why Mistakes Are the Best Teachers: Turning Failure into a Pathway for Growth
auna
0
230
Transcript
GoͱTOML Tatsuhiko Kubo@cubicdaiya Gunosy.go#12@2015/04/13
ࣗݾհ • ٱอୡ(Tatsuhiko Kubo) • bokko@cubicdaiya • Software Engineer in
Infrastructure Engineering • Mercari, Inc.
OSS࡞ͬͨΓίϯτϦϏϡʔτͨ͠Γ
Agenda GoͰϓϩάϥϜΛॻ͘ࡍͷઃఆϑΝΠϧʹ͍ͭͯ
Έͳ͞ΜɺઃఆϑΝΠϧʹ ීஈԿΛͬͯ·͔͢ʁ
JSONYAMLʹINIɺ ࠷ۙͩͱTOML ͳΜ͔͋Γ·͢ΑͶ
ࠓճ͕ීஈGoͰ։ൃ͢Δࡍʹ ར༻͢ΔઃఆϑΝΠϧܗࣜͷTOMLʹ ͍࣮ͭͯྫΛ౿·͑ͳ͕Βղઆ͠·͢
ͦͦઃఆϑΝΠϧ͕ඞཁͳཧ༝ • ͨ͘͞ΜͷίϚϯυϥΠϯҾ • ϓϩάϥϜͷύϥϝʔλ੍ޚ • ϓϩάϥϜ෦ͷৄࡉ͕Θ͔Βͳ͍ਓͰϓ ϩάϥϜͷมߋΛՄೳʹ͍ͨ͠
ઃఆهड़ݴޠ(ͱͯ͑ͦ͠͏ͳͷ) • XML • INI • JSON • YAML •
TOML • ܰྔݴޠ(Lua, mruby, etc…)
ݸਓతʹ͏͍͍ͱࢥͬͯΔͭ • XML • ਓ͕ؒॻ͘ͷ͡Όͳ͍ • YAML • ਓؒʹॻ͖͍͚͢Ͳ༷͕ෳࡶ •
JSON • ίϝϯτ͕ॻ͚ͳ͍ • 8ਐ͕͑ͳ͍(e.g. ύʔϛογϣϯͱ͔) • ඌͷΧϯϚফ͠ΕͯγϯλοΫεΤϥʔorz • σʔλϑΥʔϚοτͱͯ͠༏ल͕ͩઃఆϑΝΠϧͱͯͭ͠Β͍
ઃఆهड़ݴޠ(ͱͯ͑ͦ͠͏ͳͷ) • INI • TOML • ܰྔݴޠ(Lua, mruby, etc…)
ઃఆهड़ݴޠ(ͱͯ͑ͦ͠͏ͳͷ) • INI • TOML • ܰྔݴޠ(Lua, mruby, etc…) ࠓճ͕࣌ؒͳ͍ͷͰল͖·͢
TOML • ͋ΔҙຯAdvanced-INI • ਓ͕ؒಡΈॻ͖͍͢͠ • ྻɺ֊ߏ͕ѻ͑Δ • ࠷͕ۙࣗGoͰ։ൃ͢Δ࣌΄΅͜Ε
TOMLͷGo࣮ • ͍Ζ͍Ζ͋Δ͚ͲˣΛͬͯ·͢ • github.com/BurntSushi/toml • ઃఆϑΝΠϧͷΛͦͷ··ߏମʹϚοϐϯάՄೳ • encoding/jsonͷMarshalͱUnMarshalΈ͍ͨͳײ͡ •
TOMLͷઃఆࣗମΛੜ͢Δ͜ͱՄೳ
TOML in Go cachectlͷ߹
cachectl • GoͰॻ͔ΕͨOSͷϖʔδΩϟογϡ֬ೝɾআπʔϧ • https://github.com/cubicdaiya/cachectl • ແବͳϖʔδΩϟογϡΛղ์͢Δͷʹར༻ • cachectld͍ͬͯ͏σʔϞϯ͕͍ͯΔ •
͜ͷσʔϞϯͷઃఆϑΝΠϧ͕TOML
cachectld.toml
slackboard • GoͰॻ͔ΕͨSlackϓϩΩγ • https://github.com/cubicdaiya/slackboard • ͜ΕͷઃఆϑΝΠϧTOML
slackboard.toml [core] port = "29800" slack_url = "https://hooks.slack.com/services/..." [[tags]] tag
= "general" channel = "#general" [[tags]] tag = "random" channel = "#random" username = "slackboard" icon_emoji = ":clipboard:" parse = "full" [log] access_log = "stdout" error_log = "stderr" level = "error" [ui] root = "/var/www/slackboard"
TOMLઃఆ༻ͷߏମఆٛ(cachectld.toml) type ConfToml struct { Targets []SectionTarget `toml:"targets"` } type
SectionTarget struct { Path string `toml:"path"` PurgeInterval uint64 `toml:"purge_interval"` Filter string `toml:"filter"` Rate float64 `toml:"rate"` } encoding/jsonϥΠΫͳΞϊςʔγϣϯ
TOMLઃఆ༻ͷߏମఆٛ(slackboard.toml) type ConfToml struct { Core SectionCore `toml:"core"` Tags []SectionTag
`toml:"tags"` Log SectionLog `toml:"log"` UI SectionUI `toml:"ui"` } type SectionCore struct { Port string `toml:"port"` SlackURL string `toml:"slack_url"` } type SectionTag struct { Tag string `toml:"tag"` Channel string `toml:"channel"` Username string `toml:"username"` IconEmoji string `toml:"icon_emoji"` Parse string `toml:"parse"` } type SectionLog struct { AccessLog string `toml:"access_log"` ErrorLog string `toml:"error_log"` Level string `toml:"level"` } type SectionUI struct { Root string `toml:"root"` }
TOMLϑΝΠϧͷϩʔυ func LoadConf(confPath string, confToml *ConfToml) error { _, err
:= toml.DecodeFile(confPath, confToml) if err != nil { return err } return nil } ؆୯Ͱ͢Ͷ
TOMLઃఆͷΤΫεϙʔτ var b bytes.Buffer // ݱࡏͷTOMLͷઃఆΛόοϑΝʹॻ͖ग़͢ e := toml.NewEncoder(&b) err
:= e.Encode(confToml) if err != nil { log.Fatal(err.Error()) } // ઃఆϑΝΠϧͷ༰Λग़ྗ fmt.Println(b.String())
·ͱΊ • TOML͍͍ΑTOML • GoͳΒˣ͕͓͢͢Ί • github.com/BurntSushi/toml • P.S. •
հ͢Δ࣌ؒͳ͔͚ͬͨͲgopher-luaͱ͔ྑͦ͞͏