Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
Postgres What they really use
Search
Craig Kerstiens
November 01, 2013
Technology
930
6
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Postgres What they really use
Some insight into what features and functionality people actually use within their database.
Craig Kerstiens
November 01, 2013
More Decks by Craig Kerstiens
See All by Craig Kerstiens
Product planning w/ gridding - Effort vs. Impact rule of thirds
craigkerstiens
0
370
Five sharding data models and which is right? PGDay Nordic
craigkerstiens
0
240
Postgres at any scale
craigkerstiens
1
970
Five data models for sharding and which is right
craigkerstiens
0
200
Postgres Performance for Humans - All things Open
craigkerstiens
1
370
Postgres Performance for Humans - PyCaribbean
craigkerstiens
1
200
Postgres present and future
craigkerstiens
1
390
Marketing for Developers
craigkerstiens
0
300
Postgres – A Data Platform
craigkerstiens
2
540
Other Decks in Technology
See All in Technology
事業活動を AI Ready にする攻めと守りのデータエンジニアリング / data-engineering-for-ai-ready-business
pei0804
7
2.6k
不可逆な意思決定を避けながら10億超の顧客データを AI Ready にするデータ基盤設計
baseballyama
1
310
実践!Cloud Run ハンズオン!! / Cloud Run handson
y0hgi
0
220
予測不能な実行エージェントを安全にサクッと試せるサンドボックス環境の話
sansantech
PRO
1
150
味覇で作るパスタが美味い - 20261001_yabaubuki.dev
livesense
PRO
0
120
AI 時代の Azure エンジニアリング ~ 私たちは何を磨き、何を任せるのか ~
chack411
1
590
go-sqletch
moznion
0
130
WasmをRustにする
sansantech
PRO
0
170
AIは爆速なのに、私が詰まっていた話 ― 音声入力と鳴くマスコットでボトルネックを削る
yama3133
0
610
FactoryBotアンチパターン / factory_bot anti-patterns
toshimaru
0
150
実践! SRE × AI - ABEMA における AIOps -
tetsuya28
7
2.9k
Running Kotlin + Quarkus with Lambda
nealle
1
420
Featured
See All Featured
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
280
Kristin Tynski - Automating Marketing Tasks With AI
techseoconnect
PRO
0
550
StorybookのUI Testing Handbookを読んだ
zakiyama
31
7k
How to make the Groovebox
asonas
2
2.5k
Navigating Weather and Climate Data
rabernat
0
550
WCS-LA-2024
lcolladotor
0
870
The Illustrated Children's Guide to Kubernetes
chrisshort
51
53k
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.4k
Into the Great Unknown - MozCon
thekraken
41
2.8k
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
980
KATA
mclloyd
PRO
35
16k
Building a Scalable Design System with Sketch
lauravandoore
464
34k
Transcript
@craigkerstiens Postgres What they really use
Interrupt me Ask questions
[email protected]
None
@craigkerstiens Postgres What they really use
Shameless plugs http://www.postgresweekly.com http://www.craigkerstiens.com http://www.postgresguide.com http://www.postgresapp.com http://postgres.heroku.com
Postgres - TLDR
Postgres - TLDR Datatypes Conditional Indexes Transactional DDL Foreign Data
Wrappers Concurrent Index Creation Extensions Common Table Expressions Fast Column Addition Listen/Notify Table Inheritance Per Transaction sync replication Window functions NoSQL inside SQL Momentum
What they really use ?
Why listen to what I say?
Largest fleet of Postgres in the world
Over 1 billion write transactions a day
What they really use ?
Production
43% on 9.1 2% on 9.0 54% on 9.2 Versions
Extensions
hstore pg_stat_statements postgis uuid-ossp pg_trgm unaccent fuzzystrmatch dblink cube pgcrypto
earthdistance tablefunc citext
extension adoption hstore 11.5% pg_stat_statements 3.5% postgis 3% uuid-ossp 3%
pg_trgm 3% unaccent 1.5% fuzzystrmatch 1.5% dblink 1.5% cube 1% pg_crypto 1% earthdistance 1% tablefunc 0.75% citext 0.5%
17% at least 1 of those 22% have 2 8%
have 3 2.5% have 4 .7% have 5 .2% have 11
PLV8 CREATE FUNCTION js_filter(js_function text, json_arguments text, data json) RETURNS
numeric as $$ var func = eval(js_function); var args = eval(json_arguments); var final_args = [data].concat(args); var result = func.apply(null, final_args); return 0 < result ? 1 : 0; $$ LANGUAGE plv8 IMMUTABLE STRICT;
PLV8 SELECT json_obj FROM some_table_with_json_obj_column WHERE js_filter( 'function (json, age)
{return json.age < age; }', '21', data.json_obj ) = 1; https://github.com/webnuts/full-throttle-postgres
Indexes
99.9% have an index 28% have gin 13% have gist
92% have unique 8% have conditional
Waste?
Unused Indexes
23% over 1000 rows 13% over 10000 rows 5% over
100000 rows 1.5% over 1 million rows 2% over 100 million rows
Bloat
0.1% over 100 GB 1.5% over 10 GB 8.7% over
1 GB 22.9% over 100 MB
2.3% over 100 MB and 5x bloat factor
Pg Extras https://github.com/heroku/heroku-pg-extras/
command usage index_usage 25.5% locks 19.0% cache_hit 18.0% blocking 7.5%
index_size 7.5% outliers 5.5% vacuum_stats 4.0% bloat 4.0% total_index_size 3.0% unused_indexes 2.0%
Problems new users face?
1. What do I need to pay attention to? 2.
How do I setup replication? 3. What editors are available? 4. How do I understand performance? 5. How can I use the cool stuff in my app? Top 5
Questions