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
Thoughts About Normal and Abnormal Data (PyCon ...
Search
Markus H
October 27, 2017
Technology
13k
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Thoughts About Normal and Abnormal Data (PyCon UK 2017)
Speaker notes at
https://markusholtermann.eu/2017/10/thoughts-about-normal-and-abnormal-data/
Markus H
October 27, 2017
More Decks by Markus H
See All by Markus H
Oh, I Found a Security Issue (reloaded 2026)
markush
0
38
🐍 ❤️ 🦀 — Python loves Rust
markush
0
300
Knock! Knock! Who's There?
markush
0
100
An Introduction To Kubernetes ☸
markush
0
150
Writing Safe Database Migrations (DjangoCon Europe 2021)
markush
0
14k
A Pony On The Move: How Migrations Work In Django 🐎
markush
0
13k
All Hands on Deck — Handling Security Issues
markush
0
14k
Logging Rethought 2: The Actions of Frank Taylor Jr. (PyCon UK 2019)
markush
0
85
Logging Rethought 2: The Actions of Frank Taylor Jr. (PyCon Australia 2019)
markush
1
240
Other Decks in Technology
See All in Technology
AIのためのEthernet技術動向 (SerDes)
markunet
1
250
名刺メーカーDevグループ 紹介資料
sansan33
PRO
0
1.2k
35分でわかるEffective Platform Engineering
nwiizo
5
550
コーチングの奥義 何もしないテクニック
jinwatanabe
0
140
AI for Science時代を切り開く、政府の次世代HPC戦略の展望
gpuunite_official
0
130
トークンマネジメントでAIにとって働きやすい環境を実現する
hikaruegashira
0
120
FDEの心得
noriakioji
5
6.4k
小粒でもパワフルなJS Runtime Antjsについて
comamoca
0
110
20260817_生成AIの動向と中学校・高等学校での活用を考える_v1.00_公開用
doradora09
PRO
0
140
LLM Internals: 언어 모델의 계보와 알고리즘 진화 (2023~2026)
inureyes
PRO
1
800
なぜ Temporal の大小比較には compare しかないのか / Why Does Temporal Only Have compare() for Comparisons
kazukihayase
1
190
Software Supply Chain Attackからクラウド環境を守るためにできること
lhazy
2
290
Featured
See All Featured
Writing Fast Ruby
sferik
630
63k
RailsConf & Balkan Ruby 2019: The Past, Present, and Future of Rails at GitHub
eileencodes
141
35k
Chasing Engaging Ingredients in Design
codingconduct
0
280
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
230
23k
Large-scale JavaScript Application Architecture
addyosmani
515
110k
Art, The Web, and Tiny UX
lynnandtonic
304
22k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.5k
From π to Pie charts
rasagy
0
310
Balancing Empowerment & Direction
lara
6
1.2k
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
390
Applied NLP in the Age of Generative AI
inesmontani
PRO
4
2.4k
Transcript
Thoughts About Normal and Abnormal Data Markus Holtermann @m_holtermann markusholtermann.eu
@m_holtermann I am Markus Holtermann • Senior Software Engineer at
LaterPay • Django Core Developer
@m_holtermann How do we store our data?
@m_holtermann Files CC-BY-NC 2.0 by Tim Gee https://flic.kr/p/rZm63
@m_holtermann Document Stores CC-BY-SA 4.0 by Susan Gerbic https://commons.wikimedia.org/wiki/File%3AArchive_Room.JPG
@m_holtermann Copyright Geek Batman https://www.youtube.com/watch?v=gPDx_IwdYMY
@m_holtermann Name Home planet Gender Padmé Naboo Female Luke Tatooine
Male Leia Alderaan, Naboo Female
@m_holtermann First Normal Form (1NF)
@m_holtermann PersonID Name Home planet Gender 1 Padmé Naboo Female
2 Luke Tatooine Male 3 Leia Alderaan Female 3 Leia Naboo Female
@m_holtermann PersonID Name Home planet Gender 3 Leia Alderaan Female
3 Leia Naboo Male Update Anomalies
@m_holtermann Second Normal Form (2NF)
@m_holtermann PersonID Name Home planet Gender 1 Padmé Naboo Female
2 Luke Tatooine Male 3 Leia Alderaan Female 3 Leia Naboo Female
@m_holtermann PersonID Planet Name 1 Naboo 2 Tatooine 3 Alderaan
3 Naboo PersonID Name Gender 1 Padmé Female 2 Luke Male 3 Leia Female
@m_holtermann PersonID Planet Name 1 Naboo 2 Tatooine 3 Alderaan
3 Naboo ??? Dagobah Insert Anomalies
@m_holtermann Deletion Anomalies PersonID Planet Name 1 Naboo 2 Tatooine
3 Alderaan 3 Naboo PersonID Name Gender 1 Padmé Female 2 Luke Male 3 Leia Female
@m_holtermann Third Normal Form (3NF)
@m_holtermann PlanetID Name Water 10 Naboo 85% 11 Tatooine 1%
12 Alderaan 78% 13 Dagobah 88% PersonID Name Gender 1 Padmé Female 2 Luke Male 3 Leia Female PersonID PlanetID 1 10 2 11 3 10 3 12
@m_holtermann Database normalization is great!
@m_holtermann Always?
@m_holtermann Yet Another Wiki
@m_holtermann Page + PageID Name Slug Revision + RevisionID PageID
Text Date Database Schema
@m_holtermann Task 1: Fetch a single page and its current
revision
@m_holtermann Task 2: Fetch all page titles and the date
of their current revision
Task 1: Fetch a single page SELECT * FROM page
INNER JOIN revision ON page.page_id = revision.page_id WHERE page.slug = 'some-slug' ORDER BY revision.date DESC LIMIT 1;
Task 2: Fetch all pages SELECT page.name, last_revs.date FROM page
INNER JOIN ( SELECT revision.page_id, MAX(revision.date) date FROM revision GROUP BY revision.page_id ) last_revs ON page.page_id = last_revs.page_id;
@m_holtermann Benchmark Environment • Intel i7-6600U, 2.60GHz • 8 GB
Memory • PostgreSQL 9.6.5 • 10k pages, 6m revisions
@m_holtermann Task 1: Fetch a single page Concurrent queries 10
Pages per connection 1000 Queries per page 10 Queries total 100000
@m_holtermann Task 2: Fetch all pages Concurrent queries 1 Queries
per connection 10 Queries total 10
@m_holtermann Task 1: Fetch a single page
@m_holtermann Task 2: Fetch all pages
@m_holtermann Rae Knowler https://speakerdeck.com/bellisk/unsafe-at-any-speed-pycon-uk-26th-october-2017
@m_holtermann Database Schema Page + PageID Name Slug LastRevision Revision
+ RevisionID PageID Text Date
Task 1: Fetch a single page SELECT * FROM page
INNER JOIN revision ON page.last_revision_id = revision.revision_id WHERE page.slug = 'some-slug';
Task 2: Fetch all pages SELECT page.name, revision.date FROM page
INNER JOIN revision ON page.last_revision_id = revision.revision_id;
@m_holtermann Task 1: Fetch a single page
@m_holtermann Task 2: Fetch all pages
@m_holtermann Conclusion
Thanks Markus Holtermann @m_holtermann markusholtermann.eu