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Postgresql + Ruby = :heart:
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Yannick Schutz
April 08, 2014
Programming
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320
Postgresql + Ruby = :heart:
How you could use postgresql in ways you didn't imagine when using it as a simple datastore.
Yannick Schutz
April 08, 2014
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Transcript
Ruby+ Postgresql=♥♥♥♥
Hello, I’m Yannick
None
None
PostgreSQL is more than a datastore
PostgreSQL is a relational database
PostgreSQL is webscale
PostgreSQL is webscale
PostgreSQL is open-source
PostgreSQL is maintained
PostgreSQL has a great community
PostgreSQL has new awesome features coming!
PostgreSQL will do your coffee
Let me show you it’s POWER
PROBLEM
You fetch something from an API call. Like that Oauth
call to twitter.
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
a) You add a new cache layer like Redis b)
You add a table with all the fields c) You add fields to an existing model d) Something else?
JSON
class AddJsonPayloadToTwitterAuth < ActiveRecord::Migration def change add_column(:twitter_auths, :json_payload, :json) end
end
PostgreSQL learn you japanese
PROBLEM
You add new user settings every two weeks and needs
new avatar sizes every three.
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
a) You store that in Redis b) You add a
table with all the fields c) You add fields to the existing model d) Something else?
HSTORE
add_column :users, :settings, :hstore ! class User < ActiveRecord::Base #
This exposes accessors. user.wants_push = false store_accessor :settings, :wants_push, :wants_mails, :auto_save store_accessor :avatars, :large, :medium, :small end
PostgreSQL is not mysql
PROBLEM
You have a really complex query that is blazing fast
but when you come back a week after you’re like ‘WTF is that!’
a) You keep it unreadable b) You change the behavior
c) Something else?
a) You keep it unreadable b) You change the behavior
c) Something else?
a) You keep it unreadable b) You change the behavior
c) Something else?
a) You keep it unreadable b) You change the behavior
c) Something else?
CTE AKA WITH clause
def bad_users_with_karma User.find_by_sql(query) end ! def query <<-SQL WITH bad_users
AS (SELECT * FROM users WHERE bad = true) SELECT * FROM bad_users WHERE karma > #{karma_limit} SQL end
VIEWS THANKS PSQL
PostgreSQL believes you can fly
PROBLEM
You really need to add all this complexity that makes
that query run in seconds…
a) You use a complex query b) You denormalize in
MongoDB c) Something else?
a) You use a complex query b) You denormalize in
MongoDB c) Something else?
a) You use a complex query b) You denormalize in
MongoDB c) Something else?
a) You use a complex query b) You denormalize in
MongoDB c) Something else?
VIEWS
CREATE MATERIALIZED VIEW bad_users AS SELECT * FROM users WHERE
bad = false; ! class BadUser < User def readonly? true end end
PostgreSQL might contains kittens and unicorns
PROBLEM
You need to search your users by username, name and
email.
a) You add that elastic search b) You select in
ruby c) Something else?
a) You add that elastic search b) You select in
ruby c) Something else?
a) You add that elastic search b) You select in
ruby c) Something else?
a) You add that elastic search b) You select in
ruby c) Something else?
SEARCH
# Using textacular ! User.basic_search(“yannick”) User.basic_search(name: “yan:*”) User.fuzzy_search(“yannick”) # uses
trigrams ! create index on users using gin(to_tsvector('english', name));
PostgreSQL comes in multiple flavors and colors
Now, you know that the elephant database is more than
a datastore!
Thanks!
Questions?
Questions?