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
35
🐍 ❤️ 🦀 — Python loves Rust
markush
0
290
Knock! Knock! Who's There?
markush
0
100
An Introduction To Kubernetes ☸
markush
0
140
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
78
Logging Rethought 2: The Actions of Frank Taylor Jr. (PyCon Australia 2019)
markush
1
240
Other Decks in Technology
See All in Technology
[2026-07-15] AI Ready なはずだったアーキテクチャと、見えてきた課題・次に目指す状態
wxyzzz
4
1.8k
プロンプト_きのこカンファレンス2026_LT
yurufuwahealer
0
150
DMM.com 購入改善推進チーム におけるCodeRabbitを用いた レビューフロー改善の一例
ysknsid25
2
580
完全自律ロボットを作りたくて、先に開発を自律させた話(ROS Japan UG #63 LT)
rryz09
0
440
最適な自走を最小限の支援で — M&Aで拡大する組織で少人数SREが挑んだ1年 / SRE NEXT 2026
genda
0
890
Making sense of Google’s agentic dev tools
glaforge
1
130
AWS Blocks を触ってみた/first-tach-aws-blocks
fossamagna
2
150
cccccc
moznion
0
1.9k
生成AIの活用/high_school2026
okana2ki
0
120
product engineering with qa
nealle
0
160
AI時代のエンジニアキャリアについて今一度考える
sakamoto_582
2
1.5k
Docker Desktop不要の時代が来る? WSL標準の「wslc」で Linuxコンテナを動かしてみた.
ueponx
0
880
Featured
See All Featured
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.5k
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.6k
Leading Effective Engineering Teams in the AI Era
addyosmani
9
2.1k
Agile that works and the tools we love
rasmusluckow
331
22k
Facilitating Awesome Meetings
lara
57
7k
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
Everyday Curiosity
cassininazir
0
250
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
170
Bootstrapping a Software Product
garrettdimon
PRO
307
120k
Dominate Local Search Results - an insider guide to GBP, reviews, and Local SEO
greggifford
PRO
0
210
Fireside Chat
paigeccino
42
4k
The SEO Collaboration Effect
kristinabergwall1
1
500
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