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
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Craig Kerstiens
November 01, 2013
Technology
6
890
Postgres What they really use
Some insight into what features and functionality people actually use within their database.
Craig Kerstiens
November 01, 2013
Tweet
Share
More Decks by Craig Kerstiens
See All by Craig Kerstiens
Product planning w/ gridding - Effort vs. Impact rule of thirds
craigkerstiens
0
330
Five sharding data models and which is right? PGDay Nordic
craigkerstiens
0
220
Postgres at any scale
craigkerstiens
1
920
Five data models for sharding and which is right
craigkerstiens
0
160
Postgres Performance for Humans - All things Open
craigkerstiens
1
330
Postgres Performance for Humans - PyCaribbean
craigkerstiens
1
180
Postgres present and future
craigkerstiens
1
350
Marketing for Developers
craigkerstiens
0
280
Postgres – A Data Platform
craigkerstiens
2
500
Other Decks in Technology
See All in Technology
顧客との商談議事録をみんなで読んで顧客解像度を上げよう
shibayu36
0
240
We Built for Predictability; The Workloads Didn’t Care
stahnma
0
140
量子クラウドサービスの裏側 〜Deep Dive into OQTOPUS〜
oqtopus
0
120
SREじゃなかった僕らがenablingを通じて「SRE実践者」になるまでのリアル / SRE Kaigi 2026
aeonpeople
6
2.4k
仕様書駆動AI開発の実践: Issue→Skill→PRテンプレで 再現性を作る
knishioka
2
660
Contract One Engineering Unit 紹介資料
sansan33
PRO
0
13k
20260208_第66回 コンピュータビジョン勉強会
keiichiito1978
0
140
GitHub Issue Templates + Coding Agentで簡単みんなでIaC/Easy IaC for Everyone with GitHub Issue Templates + Coding Agent
aeonpeople
1
230
usermode linux without MMU - fosdem2026 kernel devroom
thehajime
0
230
30万人の同時アクセスに耐えたい!新サービスの盤石なリリースを支える負荷試験 / SRE Kaigi 2026
genda
4
1.3k
SREが向き合う大規模リアーキテクチャ 〜信頼性とアジリティの両立〜
zepprix
0
450
SRE Enabling戦記 - 急成長する組織にSREを浸透させる戦いの歴史
markie1009
0
120
Featured
See All Featured
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
210
<Decoding/> the Language of Devs - We Love SEO 2024
nikkihalliwell
1
130
Designing Powerful Visuals for Engaging Learning
tmiket
0
230
[RailsConf 2023] Rails as a piece of cake
palkan
59
6.3k
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
49
9.9k
HDC tutorial
michielstock
1
380
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
1
1.3k
Scaling GitHub
holman
464
140k
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
340
Leo the Paperboy
mayatellez
4
1.4k
Exploring anti-patterns in Rails
aemeredith
2
250
For a Future-Friendly Web
brad_frost
182
10k
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