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
860
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
290
Five sharding data models and which is right? PGDay Nordic
craigkerstiens
0
180
Postgres at any scale
craigkerstiens
1
800
Five data models for sharding and which is right
craigkerstiens
0
120
Postgres Performance for Humans - All things Open
craigkerstiens
1
290
Postgres Performance for Humans - PyCaribbean
craigkerstiens
1
140
Postgres present and future
craigkerstiens
1
340
Marketing for Developers
craigkerstiens
0
230
Postgres – A Data Platform
craigkerstiens
2
450
Other Decks in Technology
See All in Technology
Go製のマイグレーションツールの git-schemalex の紹介と運用方法
shinnosuke_kishida
1
260
株式会社イングリウッド_中途エンジニア採用会社説明資料
ig_umemotoryo
0
150
セマンティックレイヤー入門
ikkimiyazaki
7
1.9k
Agent Mode とは?GitHub Copilot の新機能を探る
lescoggi
1
180
移行できそうでやりきれなかった 10年超えのシステムを葬るための戦略 / phper-kaigi-2025-ryu
carta_engineering
0
660
目次機能実装から理解するLexical Editor
wtdlee
0
120
AIエージェント完全に理解した
segavvy
3
150
UDDのすすめ
maguroalternative
0
600
一人QA時代が終わり、 QAチームが立ち上がった話
ma_cho29
0
200
OPENLOGI Company Profile for engineer
hr01
1
22k
AI の活用における課題と現状、今後の期待
asei
4
330
OPENLOGI Company Profile
hr01
0
61k
Featured
See All Featured
Building Your Own Lightsaber
phodgson
104
6.3k
Git: the NoSQL Database
bkeepers
PRO
429
65k
A better future with KSS
kneath
238
17k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
227
22k
Visualization
eitanlees
146
15k
Adopting Sorbet at Scale
ufuk
75
9.3k
Docker and Python
trallard
44
3.3k
Imperfection Machines: The Place of Print at Facebook
scottboms
267
13k
Art, The Web, and Tiny UX
lynnandtonic
298
20k
Code Reviewing Like a Champion
maltzj
521
39k
We Have a Design System, Now What?
morganepeng
51
7.5k
The Language of Interfaces
destraynor
156
24k
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