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
·
Ship Features Fearlessly
Turn features on and off without deploys. Used by thousands of Ruby developers.
→
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
Digitization部 紹介資料
sansan33
PRO
1
6.8k
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
超初心者からでも大丈夫!オープンソース半導体の楽しみ方〜今こそ!オレオレチップをつくろう〜
keropiyo
0
110
OCI Database Management サービス詳細
oracle4engineer
PRO
1
7.4k
[CV勉強会@関東 World Model 読み会] Orbis: Overcoming Challenges of Long-Horizon Prediction in Driving World Models (Mousakhan+, NeurIPS 2025)
abemii
0
140
Data Hubグループ 紹介資料
sansan33
PRO
0
2.7k
~Everything as Codeを諦めない~ 後からCDK
mu7889yoon
3
390
FinTech SREのAWSサービス活用/Leveraging AWS Services in FinTech SRE
maaaato
0
130
Agile Leadership Summit Keynote 2026
m_seki
1
620
Azure Durable Functions で作った NL2SQL Agent の精度向上に取り組んだ話/jat08
thara0402
0
190
Oracle Cloud Observability and Management Platform - OCI 運用監視サービス概要 -
oracle4engineer
PRO
2
14k
Context Engineeringの取り組み
nutslove
0
350
Featured
See All Featured
The Art of Programming - Codeland 2020
erikaheidi
57
14k
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
3k
Utilizing Notion as your number one productivity tool
mfonobong
3
220
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.4k
GraphQLとの向き合い方2022年版
quramy
50
14k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
61k
コードの90%をAIが書く世界で何が待っているのか / What awaits us in a world where 90% of the code is written by AI
rkaga
60
42k
Game over? The fight for quality and originality in the time of robots
wayneb77
1
120
Build The Right Thing And Hit Your Dates
maggiecrowley
38
3k
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
62
50k
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
170
Leveraging LLMs for student feedback in introductory data science courses - posit::conf(2025)
minecr
0
140
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