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
6
850
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
280
Five sharding data models and which is right? PGDay Nordic
craigkerstiens
0
180
Postgres at any scale
craigkerstiens
1
770
Five data models for sharding and which is right
craigkerstiens
0
120
Postgres Performance for Humans - All things Open
craigkerstiens
1
280
Postgres Performance for Humans - PyCaribbean
craigkerstiens
1
140
Postgres present and future
craigkerstiens
1
330
Marketing for Developers
craigkerstiens
0
220
Postgres – A Data Platform
craigkerstiens
2
440
Other Decks in Technology
See All in Technology
目の前の仕事と向き合うことで成長できる - 仕事とスキルを広げる / Every little bit counts
soudai
24
7k
2025-02-21 ゆるSRE勉強会 Enhancing SRE Using AI
yoshiiryo1
1
240
滅・サービスクラス🔥 / Destruction Service Class
sinsoku
6
1.6k
飲食店予約台帳を支えるインタラクティブ UI 設計と実装
siropaca
7
1.7k
地方拠点で エンジニアリングマネージャーってできるの? 〜地方という制約を楽しむオーナーシップとコミュニティ作り〜
1coin
1
220
【Developers Summit 2025】プロダクトエンジニアから学ぶ、 ユーザーにより高い価値を届ける技術
niwatakeru
2
1.4k
Moved to https://speakerdeck.com/toshihue/presales-engineer-career-bridging-tech-biz-ja
toshihue
2
740
技術的負債解消の取り組みと専門チームのお話 #技術的負債_Findy
bengo4com
1
1.3k
AndroidデバイスにFTPサーバを建立する
e10dokup
0
250
The Future of SEO: The Impact of AI on Search
badams
0
190
7日間でハッキングをはじめる本をはじめてみませんか?_ITエンジニア本大賞2025
nomizone
2
1.8k
Datadog APM におけるトレース収集の流れ及び Retention Filters のはなし / datadog-apm-trace-retention-filters
k6s4i53rx
0
330
Featured
See All Featured
Visualizing Your Data: Incorporating Mongo into Loggly Infrastructure
mongodb
45
9.4k
The MySQL Ecosystem @ GitHub 2015
samlambert
250
12k
Intergalactic Javascript Robots from Outer Space
tanoku
270
27k
A designer walks into a library…
pauljervisheath
205
24k
Side Projects
sachag
452
42k
Building Better People: How to give real-time feedback that sticks.
wjessup
367
19k
Rails Girls Zürich Keynote
gr2m
94
13k
Code Reviewing Like a Champion
maltzj
521
39k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
330
21k
[RailsConf 2023] Rails as a piece of cake
palkan
53
5.2k
Faster Mobile Websites
deanohume
306
31k
The Power of CSS Pseudo Elements
geoffreycrofte
75
5.5k
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