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
Postgres What they really use
Search
Craig Kerstiens
November 01, 2013
Technology
910
6
Share
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
350
Five sharding data models and which is right? PGDay Nordic
craigkerstiens
0
230
Postgres at any scale
craigkerstiens
1
950
Five data models for sharding and which is right
craigkerstiens
0
180
Postgres Performance for Humans - All things Open
craigkerstiens
1
350
Postgres Performance for Humans - PyCaribbean
craigkerstiens
1
190
Postgres present and future
craigkerstiens
1
360
Marketing for Developers
craigkerstiens
0
290
Postgres – A Data Platform
craigkerstiens
2
520
Other Decks in Technology
See All in Technology
DI コンテナ自動生成ツールを実装してみた / intro-autodi
uhzz
0
860
Loadbalancing exporter internals
ymotongpoo
1
130
GitHub Copilot CLI の Rubber Duck 機能を使ってコーディングの品質をあげよう #techbaton_findy
stefafafan
2
1k
【禁断】Obsidianの第二の脳に「知の巨人」と呼ばれた師匠の脳をロードしてみた
nagatsu
0
6.3k
TypeScriptで実現する既存APIを活用したリモートMCPサーバー構築 / TSKaigi 2026
soarteclab
1
280
AI時代に求められる思考のパラダイムシフト
nrinetcom
PRO
1
140
long-running-tasks
cipepser
2
280
業務に残された「良くない型」で考える「TypeScriptの難しさ」
sajikix
3
2k
GCASアップデート(202603-202605)
techniczna
0
280
社内RAGの導入で気を付けたポイント
yakumo
2
150
NFLコンペ2026 解法
lycorptech_jp
PRO
0
100
TSKaigi 2026 - Auth.jsからBetter Authへの 移行に見る「型とランタイム」の 設計思想の変化
teamlab
PRO
1
260
Featured
See All Featured
Abbi's Birthday
coloredviolet
2
7.7k
Public Speaking Without Barfing On Your Shoes - THAT 2023
reverentgeek
1
400
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
290
Producing Creativity
orderedlist
PRO
348
40k
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
52
5.9k
What does AI have to do with Human Rights?
axbom
PRO
1
2.1k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
122
21k
Thoughts on Productivity
jonyablonski
76
5.2k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.5k
Crafting Experiences
bethany
1
160
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.4k
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