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Rails 4 + Postgres = NoSQL 
hstore 
Yoni Weisbrod 
@yoniweisbrod 
500tech 
500tech
User 
name :string 
photo_url :string 
verified? :bool 
email :string 
Twitter 
LinkedIn 
Yo 
@yoniweisbrod
User 
name :string 
photo_url :string 
verified? :bool 
email :string 
Twitter 
profiles :hstore LinkedIn 
Yo 
@yoniweisbrod
> u = User.first 
Not just a Hash 
> u.profiles = {yo: “yoni_w”, linked_in: “yweisbrod”} 
@yoniweisbrod
hstore 
flexibility of NoSQL 
integration with a relational database 
no maintenance of an additional database 
fully queryable 
@yoniweisbrod
Enable hstore on your Postgres database 
# db/migrate/20131220144913_enable_hstore.rb 
def up 
enable_extension “hstore" 
end 
def down 
disable_extension “hstore” 
end 
@yoniweisbrod
Add the hstore field to your table 
# db/migrate/20131220145432_add_profiles_to_users.rb 
def change 
add_column :users, :profiles, :hstore 
end 
@yoniweisbrod
Add accessor methods for known keys 
class User < ActiveRecord::Base 
store_accessor :profiles, :yo, :linkedin 
end 
User.first.yo 
@yoniweisbrod
Great Rails Integration 
• Add validations for specific keys 
• Add indexes to speed up queries 
@yoniweisbrod
Gotchas 
• All strings 
hstore_accessor gem 
• No nested hashes. 
nested-hstore gem 
@yoniweisbrod
powerful query operands 
@yoniweisbrod
Query the value of a key 
User.where(“profiles -> ‘yo’ = :name”, name: ‘yoni’) 
@yoniweisbrod
Query the presence of a key 
User.where(“profiles ? ‘yo’”) 
User.where(“profiles ?& ARRAY[‘yo’, ‘linked_in’]”) 
User.where(“profiles ?| ARRAY[‘yo’, ‘linked_in’]”) 
@yoniweisbrod
Query the presence of a key-value pair 
User.where(“profiles @> :kv”, kv: “yo=>yoni_w”) 
@yoniweisbrod
Rails 4 + Postgres = NoSQL 
hstore 
Yoni Weisbrod 
@yoniweisbrod 
500tech 
500tech

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Rails 4 + Postgres = NoSQL - Rails Israel 2014

  • 1. Rails 4 + Postgres = NoSQL hstore Yoni Weisbrod @yoniweisbrod 500tech 500tech
  • 2. User name :string photo_url :string verified? :bool email :string Twitter LinkedIn Yo @yoniweisbrod
  • 3. User name :string photo_url :string verified? :bool email :string Twitter profiles :hstore LinkedIn Yo @yoniweisbrod
  • 4. > u = User.first Not just a Hash > u.profiles = {yo: “yoni_w”, linked_in: “yweisbrod”} @yoniweisbrod
  • 5. hstore flexibility of NoSQL integration with a relational database no maintenance of an additional database fully queryable @yoniweisbrod
  • 6. Enable hstore on your Postgres database # db/migrate/20131220144913_enable_hstore.rb def up enable_extension “hstore" end def down disable_extension “hstore” end @yoniweisbrod
  • 7. Add the hstore field to your table # db/migrate/20131220145432_add_profiles_to_users.rb def change add_column :users, :profiles, :hstore end @yoniweisbrod
  • 8. Add accessor methods for known keys class User < ActiveRecord::Base store_accessor :profiles, :yo, :linkedin end User.first.yo @yoniweisbrod
  • 9. Great Rails Integration • Add validations for specific keys • Add indexes to speed up queries @yoniweisbrod
  • 10. Gotchas • All strings hstore_accessor gem • No nested hashes. nested-hstore gem @yoniweisbrod
  • 11. powerful query operands @yoniweisbrod
  • 12. Query the value of a key User.where(“profiles -> ‘yo’ = :name”, name: ‘yoni’) @yoniweisbrod
  • 13. Query the presence of a key User.where(“profiles ? ‘yo’”) User.where(“profiles ?& ARRAY[‘yo’, ‘linked_in’]”) User.where(“profiles ?| ARRAY[‘yo’, ‘linked_in’]”) @yoniweisbrod
  • 14. Query the presence of a key-value pair User.where(“profiles @> :kv”, kv: “yo=>yoni_w”) @yoniweisbrod
  • 15. Rails 4 + Postgres = NoSQL hstore Yoni Weisbrod @yoniweisbrod 500tech 500tech

Editor's Notes

  1. Hi, my name is Yoni Weisbrod. I’m a developer at a consultancy right here in sunny Tel Aviv called 500tech, and I’d like to take the next 5 minutes to share a really great feature that comes with Rails 4 that gives you the benefits of a NoSQL database, using your existing Postgres database. It’s access to Postgres’s hstore data type, and it allows you to store a hash in a database field.
  2. Say you have a table of users with some standard fields, but there’s a group of data with attributes that you just can’t predict. For instance, we want to track users’ social network profiles, but it’s a group of programmers and everyone seems to be on different networks. Some users have twitter, others have LinkedIn, and the most cutting edge insist on communicating with Yo. (3) There’s obviously a relational database solution to this, but hstore gives us an elegant and convenient way to handle the unpredictability by storing the data as keys in a queryable hash.
  3. On the surface, hstore looks like a regular serialised hash, but it’s actually far more powerful.
  4. Hstore is an interesting choice because (1) it offers the flexibility of NoSQL, meaning you won’t need migrations to add future columns. (2) It’s fully integrated with the rest of your Postgres database, so you can still associate the record with other tables. (3) and you won’t need to maintain an additional database, such as MongoDB.
  5. To use hstore on your database, there are 3 simple steps. First, enable it on your Postgres database. You can do this either with a migration, or by executing a command directly to your database. This is an example of a migration - just use ‘enable_extension “hstore”’.
  6. (1) If you know that certain keys are likely to come up, you can add accessor methods for them (2) so that you can access them with direct methods.
  7. They really went all out with this feature, and you can do some great stuff with hstore. (1) You can add model validations on specific keys, now that you’ve set up accessor methods. (2) Now hstore is incredibly powerful because you execute SQL queries on the data, which I’ll get to shortly. But to make it even more efficient, you can even store indexes like a normal column. However, there are a couple gotchas.
  8. First of all, everything (keys and values) are saved as strings, so no symbols or integers allowed. Also, you can’t store a nested hash. If you try, the nested curly braces will just be escaped. Fortunately, there’s a gem called “hstore_accessor”, which allows you to specify a data type for each attribute and translates the strings into the appropriate data types. And there’s also nested-hstore, which allows you to store more complex hashes. Of course, these aren’t native solutions so your mileage may vary.
  9. I’ve left the best for last. Hstore’s power is in our ability to query data like a normal column, with some special syntax.
  10. Using the arrow operand, you can query the value of a single key, as if you’re executing a standard SQL query. All of the standard equality operands work here, such as “=“, “LIKE”, and “ILIKE” for case insensitive equality. This tells us all user records with yo profiles named yoni.
  11. But you can also query for the presence of a key with the question mark operand. This tells us all users with yo profiles. You can also query for an array of keys. This is asking for all users who have yo profiles. You can also query all users who have Yo AND linked in using the ampersand, or all users who have either yo or linked in with the pipe.
  12. Lastly, you can also query the presence of a key-value pair.