Querying records

# Query Objects

When you generate a model, Avram will create a Query class for you in ./src/queries/{model_name}_query.cr. This class will inherit from {ModelName}::BaseQuery. (e.g. with a User model you get a User::BaseQuery class).

# src/queries/user_query.cr
class UserQuery < User::BaseQuery
end

Each column defined on the model will also generate methods for the query object to use. This gives us a type-safe way to query on each column. All of the query methods are chainable for both simple and more complex queries.

# Running Queries

When you run any query, Avram will return an instance, array of instances, nil, or raise an exception (e.g. Avram::RecordNotFoundError).

For our examples, we will use this User model.

class User < BaseModel
  table :users do
    # `id`, `created_at`, and `updated_at` are predefined for us
    column name : String
    column age : Int32
    column admin : Bool

    has_many tasks : Task
  end
end

# Select shortcuts

By default, all query objects include the Enumerable(T) module, which means methods like each, and map may be used.

All query methods are called on the instance of the query object, but there’s also a few class methods for doing quick finds.

first - Returns the first record. Raise Avram::RecordNotFoundError if no record is found.
first? - Returns the first record. Returns nil if no record is found.
find(id) - Returns the record with the primary key id. Raise Avram::RecordNotFoundError if no record is found.
last - Returns the last record. Raise Avram::RecordNotFoundError if no record is found.
last? - Returns the last record. Returns nil if no record is found.

first_user = UserQuery.first
last_user = UserQuery.last
specific_user = UserQuery.find(4)
all_users = UserQuery.new

The find method requires a primary_key. view models that need this method will need to implement it.

# Lazy loading

The query does not actually hit the database until a method is called to fetch a result or iterate over results.

The most common methods are:

first
find
each

For example:

# The query is not yet run
query = UserQuery.new.name("Sally").age(30)

# The query will run once `each` is called
# Results are not cached so a request will be made every time you call `each`
query.each do |user|
  pp user.name
end

# Immutability

Queries are immutable. Whenever a method is called on a query, it returns a new copy of itself with the condition added. The query the method was called on will not be changed.

query = UserQuery.new.name("Wendy")
new_query = query.age(40)

query.to_sql     #=> SELECT COLUMNS FROM users WHERE users.name = 'Wendy';
new_query.to_sql #=> SELECT COLUMNS FROM users WHERE users.name = 'Wendy' AND users.age = 40;

# Simple Selects

When doing a SELECT, Avram will select all of the columns individually (i.e. users.id, users.created_at, users.updated_at, users.name, users.age, users.admin) as opposed to *. However, for brevity, we will use COLUMNS.

# Select all

SELECT COLUMNS FROM users

users = UserQuery.new

# Select first

SELECT COLUMNS FROM users ORDER BY users.id ASC LIMIT 1

# raise Avram::RecordNotFound if nil
user = UserQuery.new.first

# returns nil if not found
user = UserQuery.new.first?

# Select last

SELECT COLUMNS FROM users ORDER BY users.id DESC LIMIT 1

# raise Avram::RecordNotFound if nil
user = UserQuery.new.last

# returns nil if not found
user = UserQuery.new.last?

# Select by primary key

Selecting the user with id = 3. SELECT COLUMNS FROM users WHERE users.id = 3 LIMIT 1

# raise Avram::RecordNotFound if nil
user = UserQuery.new.find(3)

# Select distinct / distinct on

SELECT DISTINCT COLUMNS FROM users

UserQuery.new.distinct

Select distinct rows based on the name column SELECT DISTINCT ON (users.name) FROM users

UserQuery.new.distinct_on(&.name)

# Where Queries

The WHERE clauses are the most common used in SQL. Each of the columns generated by the model will give you a method for running a WHERE on that column. (e.g. the age can be queried using age(30) which produces the SQL WHERE age = 30).

# A = B

Find rows where A is equal to B.

SELECT COLUMNS FROM users WHERE users.age = 54

UserQuery.new.age(54)

In some cases, the value you pass in may be nilable. If you pass in a nil value, Avram will raise an exception.

For these cases, you would use the nilable_eq method.

UserQuery.new.age.nilable_eq(potential_age_or_nil_value)

# WHERE with AND (A = B AND C = D)

Find rows where A is equal to B and C is equal to D.

SELECT COLUMNS FROM users WHERE users.age = 43 AND users.admin = true

UserQuery.new.age(43).admin(true)

All query methods are chainable!

# WHERE with OR (A = B OR A = C)

Find rows where A is equal to B or A is equal to C.

SELECT COLUMNS FROM users WHERE users.name = 'Alfred' OR users.name = 'Bruce'

UserQuery.new.name("Alfred").or(&.name("Bruce"))

OR queries can become quite complex. If you need to wrap conditions, you can use the where(&) method. This will take a block, and wrap any query chain inside with parenthesis ().

SELECT COLUMNS FROM users WHERE users.likes_bats = true OR (users.first_name = 'Kate' AND users.last_name = 'Kane')

UserQuery.new.likes_bats(true).or do |or|
  or.where do |where|
    where.first_name("Kate").last_name("Kane"))
  end
end

# A != B

Find rows where A is not equal to B.

SELECT COLUMNS FROM users WHERE users.name != 'Billy'

UserQuery.new.name.not.eq("Billy")

The not method can be used to negate other methods like eq, gt, lt, and in.

# A IS NULL / IS NOT NULL

Find rows where A is nil using is_nil.

SELECT COLUMNS FROM users WHERE users.name IS NULL

UserQuery.new.name.is_nil

Find rows where A is not nil.

SELECT COLUMNS FROM users WHERE users.name IS NOT NULL

UserQuery.new.name.is_not_nil

# LOWER/UPPER A = B

Find rows where (casting A to LOWER/UPPER) is equal to B

SELECT COLUMNS FROM users WHERE LOWER(users.name) = 'gar'

UserQuery.new.name.lower.eq("gar")

SELECT COLUMNS FROM users WHERE UPPER(users.name) = 'GAR'

UserQuery.new.name.upper.eq("GAR")

# TRIM A = B

Find rows where (trimming blankspace from A) is equal to B

SELECT COLUMNS FROM posts WHERE TRIM(posts.title) = 'First Post'

PostQuery.new.title.trim.eq("First Post")

# A as DATE = B

Find rows where (casting A to a DATE()) is equal to B

SELECT COLUMNS FROM schedules WHERE DATE(schedules.starts_at) = '2017-03-11'

ScheduleQuery.new.starts_at.as_date.eq(Time.utc.to_s("%F"))

The dates are compared with Strings, so a date formatted String object must be passed in.

# LENGTH/REVERSE A = B

Find rows where the length of string A is equal to B

SELECT COLUMNS FROM users WHERE LENGTH(users.username) = 2

UserQuery.new.username.length.eq(2)

Find rows where the reverse of string A is equal to B

SELECT COLUMNS FROM users WHERE REVERSE(users.username) = 'tacocat'

UserQuery.new.username.reverse.eq("tacocat")

# ABS/CEIL/FLOOR A = B

Find rows where the ABS of the number A is equal to B

SELECT COLUMNS FROM reports WHERE ABS(reports.amount) = 400

ReportQuery.new.amount.abs.eq(400)

Find rows where the FLOOR number A is equal to B

SELECT COLUMNS FROM reports WHERE FLOOR(reports.rating) = 5

ReportQuery.new.rating.floor.eq(5)

Find rows where the CEIL number A is equal to B

SELECT COLUMNS FROM reports WHERE CEIL(reports.rating) = 5

ReportQuery.new.rating.ceil.eq(5)

# A gt/lt B

gt: >
gte: >=
lt: <
lte: <=

Find rows where A is greater than or equal to (>=) B.

WHERE users.age >= 21

UserQuery.new.age.gte(21)

Find rows where A is greater than B.

WHERE users.created_at > '2024-11-06 04:36:53 +00:00'

UserQuery.new.created_at.gt(1.day.ago)

Find rows where A is less than or equal to B.

WHERE users.age <= 12

UserQuery.new.age.lte(12)

Find rows where A is less than B.

WHERE users.updated_at < '2024-08-07 04:36:53 +00:00'

UserQuery.new.updated_at.lt(3.months.ago)

# A between C and D

Find rows where A is between C and D.

WHERE users.updated_at >= '2024-11-04 04:36:53 +00:00' AND users.updated_at <= '2024-11-06 04:36:53 +00:00'

UserQuery.new.updated_at.between(3.days.ago, 1.day.ago)

# A in / not in (B)

Find rows where A is in the list B.

WHERE users.name IN ('Bill', 'John')

UserQuery.new.name.in(["Bill", "John"])

Find rows where A is not in the list B.

WHERE users.name NOT IN ('Sally', 'Jenny')

UserQuery.new.name.not.in(["Sally", "Jenny"])

# A = ANY of B

Find rows where A is in the array B

WHERE 'Gold' = ANY (users.badges)

UserQuery.new.badges.includes("Gold")

# A like / iLike B

Find rows where A is like (begins with) B.

WHERE users.name LIKE 'John%'

UserQuery.new.name.like("John%")

WHERE users.name ILIKE 'jim'

UserQuery.new.name.ilike("jim")

# Querying enums

class User < BaseModel
  enum Role
    Basic
    Admin
  end

  enum Color
    Red
    Blue
    Green
    Yellow
  end

  column role : User::Role
  column colors : Array(User::Color)
end

UserQuery.new.role(User::Role::Admin)
UserQuery.new.colors.includes(User::Color::Green)

# Any? / None?

When you only need to know if there’s any records that match your query you can use the any? method.

# returns `true` if there's at least 1 record
UserQuery.new.any?

The opposite is none? which will return true if there’s no records that match your query.

# returns `true` if there's no records
UserQuery.new.none?

# Extract with Time

Postgres supports several time units with the EXTRACT() function. Avram supports all of these: Century, Day, Decade, Dow, Doy, Epoch, Hour, Isodow, Isoyear, Julian, Microseconds, Millennium, Milliseconds, Minute, Month, Quarter, Second, Timezone, TimezoneHour, TimezoneMinute, Week, Year.

Find rows that were created on a July 4th:

WHERE EXTRACT(month FROM created_at) = 7 AND EXTRACT(day FROM created_at) = 4

UserQuery.new.created_at.extract_month.eq(7).created_at.extract_day.eq(4)

For each supported time unit, you can either pass it as an enum value to extract (i.e. extract(Avram::ChronoUnits::Year)) or append the lowercase version to extract_ (i.e. extract_julian)

# jsonb Type Queries

These are special query methods designed for quering against JSON::Any / jsonb type columns.

Find rows where the jsonb field A has the key B.

SELECT COLUMNS FROM users WHERE users.preferences ? 'theme'

UserQuery.new.preferences.has_key("theme")

Find rows where the jsonb field A has any of the keys B or C

SELECT COLUMNS FROM users WHERE users.preferences ?| '{"theme", "style"}'

UserQuery.new.preferences.has_any_keys(["theme", "style"])

Find rows where the jsonb field A has all of the keys B and C

SELECT COLUMNS FROM users WHERE users.preferences ?& '{"theme", "size"}'

UserQuery.new.preferences.has_all_keys(["theme", "size"])

Find rows where the jsonb field A includes the jsonb data B

SELECT COLUMNS FROM users WHERE users.preferences @> '{"theme":"dark"}'

UserQuery.new.preferences.includes({theme: "dark"})

Find rows where the jsonb field A is in the jsonb data B

SELECT COLUMNS FROM users WHERE users.preferences <@ '{"theme":"dark","size":"large","audio":"on","transparentBg":true}'

UserQuery.new.preferences.in({theme: "dark", size: "large", audio: "on", transparentBg: true})

The JSON::Any includes and in methods accept any structure that responds to to_json

# Raw Where Queries

For more complex queries, and as an escape hatch to support queries beyond Avram’s support, you can pass raw strings to where and use the ? character as a value placeholder. The arguments after the first are the values to be replaced in the query.

UserQuery.new.where("preferences->>'theme' = ? AND preferences->>'version' = ?", "rose", "v2")

Due to the placeholder character being a ?, some jsonb operations won’t work here. (e.g. jsonb ? text)

# Order By

Return rows ordered by the age column in descending (or ascending) order.

SELECT COLUMNS FROM users ORDER BY users.age DESC

UserQuery.new.age.desc_order
# or for asc order
UserQuery.new.age.asc_order

# NULLS FIRST / LAST

Sort records placing NULL values first or last

SELECT COLUMNS FROM users ORDER BY users.age DESC NULLS FIRST

UserQuery.new.age.desc_order(:nulls_first)
# Also sort with NULLS LAST
UserQuery.new.age.desc_order(:nulls_last)

# Random Order

Return rows in a random order.

SELECT COLUMNS FROM users ORDER BY RANDOM()

UserQuery.new.random_order

Appending a specific order after a random order will use that specific order. (e.g. UserQuery.new.random_order.username.desc_order will order by username descending)

# Group By

Return rows grouped by the age column.

SELECT COLUMNS FROM users GROUP BY users.age, users.id

UserQuery.new.group(&.age).group(&.id)

Using the Postgres GROUP BY function can be confusing. Read more on postgres aggregate functions.

# Pagination

This section has been moved to its own pagination guide.

# Aggregate Functions

# Select Count

SELECT COUNT(*) FROM users

# This will return an Int64.
# The value will be 0 if there are no records.
UserQuery.new.select_count

# Select Average / Sum

SELECT AVG(users.age) FROM users

# This will return a Float64 | Nil.
# The value will be nil if there are no records.
UserQuery.new.age.select_average

# This will return a Float64.
# The value will be 0 if there are no records.
UserQuery.new.age.select_average!

SELECT SUM(users.age) FROM users

# Returns an Int64 for integer columns, or a Float64 for float columns
# Returns nil if there are no records
UserQuery.new.age.select_sum

# Returns an Int64 for integer columns, or a Float64 for float columns
# Returns 0 if there are no records
UserQuery.new.age.select_sum!

# Select Min / Max

SELECT MIN(users.age) FROM users

UserQuery.new.age.select_min

SELECT MAX(users.age) FROM users

UserQuery.new.age.select_max

select_min and select_max will return a union type of the column and Nil. For example, if the column type is an Int32 the return type will be Int32 | Nil.

# Grouped count

When your query is grouped, and you want to return the count of each group, you can use the group_count method.

# {[32, "Daniel"] => 1, [32, "Taylor"] => 2, [44, "Shakira"] => 1}
UserQuery.new.group(&.age).group(&.name).group_count

# Associations and Joins

When you have a model that is associated to another, your association is a method you can use to return those records.

# Associations

Each association defined on your model will have a method prefixed with where_ that takes a query from the association. This method will add an inner join for you.

You can use this to help refine your association.

# SELECT COLUMNS FROM users INNER JOIN tasks ON users.id = tasks.user_id WHERE tasks.title = 'Clean up notes'
UserQuery.new.where_tasks(TaskQuery.new.title("Clean up notes"))

This will return all users who have a task with a title “Clean up notes”. You can continue to scope this on both the User and Task side.

This example shows the has_many association, but all associations including has_one, and belongs_to use the same format.

# Joins

By default, using the where_ methods will use INNER JOIN, but you have the option to configure this by passing false to the auto_inner_join argument, and specifying a different join method.

UserQuery.new
  .left_join_tasks
  .where_tasks(
    TaskQuery.new.title("Clean up notes"),
    auto_inner_join: false)

# Inner joins

SELECT COLUMNS FROM users INNER JOIN tasks ON users.id = tasks.user_id

UserQuery.new.join_tasks

By default the join_{{association_name}} method will be an INNER JOIN, but you can also use inner_join_{{association_name}} for clarity

# Left joins

SELECT COLUMNS FROM users LEFT JOIN tasks ON users.id = tasks.user_id

UserQuery.new.left_join_tasks

# Right joins

SELECT COLUMNS FROM users RIGHT JOIN tasks ON users.id = tasks.user_id

UserQuery.new.right_join_tasks

# Full joins

SELECT COLUMNS FROM users FULL JOIN tasks ON users.id = tasks.user_id

UserQuery.new.full_join_tasks

# Preloading

In development and test environments Lucky requires preloading associations. If you forget to preload an association, a runtime error will be raised when you try to access it. In production, the association will be lazy loaded so that users do not see errors.

This solution means you will find N+1 queries as you develop instead of in production and users will never see an error.

To preload, just call preload_{association name} on the query:

UserQuery.new.preload_tasks

# Customizing how associations are preloaded

Sometimes you want to order preloads, or add where clauses. To do this, use the preload_{{association_name }} method on the query, and pass a query object for the association.

UserQuery.new.preload_tasks(TaskQuery.new.completed(false))

This is also how you would do nested preloads:

# Preload the user's tasks, and the task's author
UserQuery.new.preload_tasks(TaskQuery.new.preload_author)

Note that you can only pass query objects to preload if the association is defined, otherwise you will get a type error.

# With existing records

There are situations where you have an existing record and it does not have the associations preloaded that are needed. Instead of loading the association separately, you can add an association after the fact, instead.

user = UserQuery.find(user_id)

# Preload the user's tasks
user_with_tasks = UserQuery.preload_tasks(user)

It can even be used to load associations on a collection of records.

users = UserQuery.new.age(30)

# Preload the users' tasks
users_with_tasks = UserQuery.preload_tasks(users)

# Without preloading

Sometimes you have a single model and don’t need to preload items. Or maybe you can’t preload because the model record is already loaded. In those cases you can use the association name with !:

task = TaskQuery.first
# Returns the associated author and does not trigger a preload error
task.user!

# Reloading Data

Reloading a model can be useful when you’ve loaded a model, but then there is a change to the data.

author = AuthorQuery.find(5)

# Let's say the Author's profile picture is hidden
author.hide_avatar #=> true

# If this database value is updated...
SaveAuthor.update!(author, hide_avatar: false)

# We can reload to get the new value
author.reload.hide_avatar #=> false

When calling the reload method on the model, the original instance is not updated.

# The new value grabbed from the reloaded model
author.reload.hide_avatar #=> false

# The original value is still in place
author.hide_avatar #=> true

The reload method requires a primary_key. view models that need this method will need to implement it.

# Adding preloads when reloading

You can also use the reload method to preload associations. For example, if you have a post, and want to preload comments, you can use reload with a block.

# `post` is a recently updated record.
# We want to get all of the author names that commented on this `post`.

# This is not preloaded, and can lead to performance issues
post.comments.map(&.author.name)

# Preload the comments and authors for better performance
post.reload(&.preload_comments(CommentQuery.new.preload_authors))
  .comments.map(&.author.name)

Read up on preloading associations for more information.

# No results

Avram gives you a none method to return no results. This can be helpful when under certain conditions you want the results to be empty.

UserQuery.new.none

This method does not return an empty array immediately. You can still chain other query methods, but it will always return no records. For example: UserQuery.new.none.first will never return a result

# Named Scopes

Chaining multiple query methods can be hard to read, tedious, and error prone. If you are making a complex query more than once, or want to give a query a label, named scopes are a great alternative.

class UserQuery < User::BaseQuery
  def adults
    age.gte(18)
  end

  def search(name)
    ilike("#{name}%")
  end
end

UserQuery.new.adults.search("Sal")

# Using with associations

class UserQuery < User::BaseQuery
  def recently_completed_admin_tasks
    task_query = TaskQuery.new.completed(true).updated_at.gte(1.day.ago)

    admin(true).where_tasks(task_query)
  end
end

# Then to use it
UserQuery.new.recently_completed_admin_tasks

When adding an associated query (like task_query), Avram will handle adding the join for you. By default, this is an INNER JOIN, but if you need to customize that, you can set the auto_inner_join option to false.

def recently_completed_admin_tasks
  task_query = TaskQuery.new.completed(true).updated_at.gte(1.day.ago)

  # Tell the `where_tasks` to skip adding the `inner_join` so we can
  # use the `left_join_tasks` instead.
  admin(true)
    .left_join_tasks
    .where_tasks(task_query, auto_inner_join: false)
end

# Queries with defaults

You can also set defaults for your query objects which could be an ordering, named scope, or whatever you may need.

class AdminQuery < User::BaseQuery

  def initialize
    defaults &.admin(true).name.asc_order
  end
end

# Will always query WHERE admin = true ORDER BY name ASC
AdminQuery.new

The defaults method is private scoped. It’s only meant to be used in the initialize method of your class.

# Resetting Queries

If you need to remove parts of the SQL query after the query has been built, Avram gives you a few reset methods for that.

# Reset where

The reset_where method takes a block where you call the name of the column you want to remove from your query.

# SELECT * FROM users WHERE name = 'Billy' AND signed_up < '2 days ago'
user_query = UserQuery.new.name("Billy").signed_up.lt(2.days.ago)

# The `name = 'Billy'` is removed
# SELECT * FROM users WHERE signed_up < '2 days ago'
user_query.reset_where(&.name)

# Reset order

user_query = UserQuery.new.age.desc_order

# This will remove the `ORDER BY age DESC`
user_query.reset_order

# Reset limit

user_query = UserQuery.new.limit(10)

# This will remove the `LIMIT 10`
user_query.reset_limit

# Reset offset

user_query = UserQuery.new.offset(25)

# This will remove the `OFFSET 25`
user_query.reset_offset

# Complex Queries

If you need more complex queries that Avram may not support, you can run raw SQL.

Avram is designed to be type-safe. You should use caution when using the non type-safe methods, or raw SQL.

# Debugging Queries

Sometimes you may need to double check that the query you wrote outputs the SQL you expect. To do this, you can use the to_sql method which will return an array with the query, and args.

UserQuery.new
  .name("Stan")
  .age(45)
  .limit(1)
  .to_sql #=> ["SELECT COLUMNS FROM users WHERE users.name = $1 AND users.age = $2 LIMIT $3", "Stan", 45, 1]

You can also use the to_prepared_sql method to combine your query and args. This is helpful when you need to copy and paste your query in to psql directly during development when working with more complex queries.

UserQuery.new
  .where_posts(PostQuery.new.published(true).tags(["crystal", "lucky"]))
  .limit(10)
  .to_prepared_sql
#=> "SELECT COLUMNS FROM users INNER JOIN posts ON users.id = posts.user_id WHERE posts.tags = '{"crystal", "lucky"}' LIMIT 10"

If you’d prefer to see every query that is being run in your server logs, you can configure Avram’s log level like this:

# This is often set in `config/log.cr`
Avram::QueryLog.dexter.configure(:info)

Next guide →Saving and Updating records

See a problem? Have an idea for improvement? Edit this page on GitHub