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
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
🐍 ❤️ 🦀 — Python loves Rust
markush
0
280
Knock! Knock! Who's There?
markush
0
79
An Introduction To Kubernetes ☸
markush
0
130
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
72
Logging Rethought 2: The Actions of Frank Taylor Jr. (PyCon Australia 2019)
markush
1
230
Logging Rethought 2: The Actions of Frank Taylor Jr. (DjangoCon Europe 2019)
markush
0
13k
Other Decks in Technology
See All in Technology
バックオフィスPJのPjMをコーポレートITが担うとうまくいく3つの理由
yueda256
1
290
システムは「動く」だけでは 足りない - 非機能要件・分散システム・トレードオフの基礎
nwiizo
24
7.2k
仕様通り動くの先へ。Claude Codeで「使える」を検証する
gotalab555
8
3.1k
第26回FA設備技術勉強会 - Claude/Claude_codeでデータ分析 -
happysamurai294
0
400
20260410 - CNTUG meetup #72 - DiskImage Builder 介紹:以 Kubespray CI 打造 RockyLinux 10 Cloud Image 為例
tico88612
0
110
さくらのAI Engineから始める クラウドネイティブ意識
melonps
0
120
NgRx SignalStore: The Power of Extensibility
rainerhahnekamp
0
160
解剖"React Native"
hacusk
0
120
Databricksを用いたセキュアなデータ基盤構築とAIプロダクトへの応用.pdf
pkshadeck
PRO
0
230
本番環境でPHPコードに触れずに「使われていないコード」を調べるにはどうしたらよいか?
egmc
1
260
レガシーシステムをどう次世代に受け継ぐか
tachiiri
0
330
Hello UUID
mimifuwacc
0
130
Featured
See All Featured
Designing for Performance
lara
611
70k
Why Our Code Smells
bkeepers
PRO
340
58k
Navigating the moral maze — ethical principles for Al-driven product design
skipperchong
2
320
What the history of the web can teach us about the future of AI
inesmontani
PRO
1
510
Jamie Indigo - Trashchat’s Guide to Black Boxes: Technical SEO Tactics for LLMs
techseoconnect
PRO
0
96
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
260
Information Architects: The Missing Link in Design Systems
soysaucechin
0
870
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
3.3k
Discover your Explorer Soul
emna__ayadi
2
1.1k
From Legacy to Launchpad: Building Startup-Ready Communities
dugsong
0
190
It's Worth the Effort
3n
188
29k
Abbi's Birthday
coloredviolet
2
6.4k
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