Ecto.Query.API (Ecto v3.5.0) View Source
Lists all functions allowed in the query API.
- Comparison operators:
==
,!=
,<=
,>=
,<
,>
- Arithmetic operators:
+
,-
,*
,/
- Boolean operators:
and
,or
,not
- Inclusion operator:
in/2
- Search functions:
like/2
andilike/2
- Null check functions:
is_nil/1
- Aggregates:
count/0
,count/1
,avg/1
,sum/1
,min/1
,max/1
- Date/time intervals:
datetime_add/3
,date_add/3
,from_now/2
,ago/2
- Inside select:
struct/2
,map/2
,merge/2
and literals (map, tuples, lists, etc) - General:
fragment/1
,field/2
,type/2
,as/1
,parent_as/1
Note the functions in this module exist for documentation
purposes and one should never need to invoke them directly.
Furthermore, it is possible to define your own macros and
use them in Ecto queries (see docs for fragment/1
).
Intervals
Ecto supports following values for interval
option: "year"
, "month"
,
"week"
, "day"
, "hour"
, "minute"
, "second"
, "millisecond"
, and
"microsecond"
.
Date
/Time
functions like datetime_add/3
, date_add/3
, from_now/2
,
ago/2
take interval
as an argument.
Window API
Ecto also supports many of the windows functions found
in SQL databases. See Ecto.Query.WindowAPI
for more
information.
About the arithmetic operators
The Ecto implementation of these operators provide only a thin layer above the adapters. So if your adapter allows you to use them in a certain way (like adding a date and an interval in PostgreSQL), it should work just fine in Ecto queries.
Link to this section Summary
Functions
Binary !=
operation.
Binary *
operation.
Binary +
operation.
Binary -
operation.
Binary /
operation.
Binary <
operation.
Binary <=
operation.
Binary ==
operation.
Binary >
operation.
Binary >=
operation.
Subtracts the given interval from the current time in UTC.
Binary and
operation.
Refer to a named atom binding.
Calculates the average for the given entry.
Takes whichever value is not null, or null if they both are.
Counts the entries in the table.
Counts the given entry.
Counts the distinct values in given entry.
Adds a given interval to a date.
Adds a given interval to a datetime.
Allows a field to be dynamically accessed.
Applies the given expression as a FILTER clause against an aggregate. This is currently only supported by Postgres.
Send fragments directly to the database.
Adds the given interval to the current time in UTC.
Searches for search
in string
in a case insensitive fashion.
Checks if the left-value is included in the right one.
Checks if the given value is nil.
Returns value from the json_field
pointed to by path
.
Searches for search
in string
.
Used in select
to specify which fields should be returned as a map.
Calculates the maximum for the given entry.
Merges the map on the right over the map on the left.
Calculates the minimum for the given entry.
Unary not
operation.
Binary or
operation.
Refer to a named atom binding in the parent query.
Used in select
to specify which struct fields should be returned.
Calculates the sum for the given entry.
Casts the given value to the given type at the database level.
Link to this section Functions
Binary !=
operation.
Binary *
operation.
Binary +
operation.
Binary -
operation.
Binary /
operation.
Binary <
operation.
Binary <=
operation.
Binary ==
operation.
Binary >
operation.
Binary >=
operation.
Subtracts the given interval from the current time in UTC.
The current time in UTC is retrieved from Elixir and not from the database.
See Intervals for supported interval
values.
Examples
from p in Post, where: p.published_at > ago(3, "month")
Binary and
operation.
Refer to a named atom binding.
See the "Named binding" section in Ecto.Query
for more information.
Calculates the average for the given entry.
from p in Payment, select: avg(p.value)
Takes whichever value is not null, or null if they both are.
In SQL, COALESCE takes any number of arguments, but in ecto it only takes two, so it must be chained to achieve the same effect.
from p in Payment, select: p.value |> coalesce(p.backup_value) |> coalesce(0)
Counts the entries in the table.
from p in Post, select: count()
Counts the given entry.
from p in Post, select: count(p.id)
Counts the distinct values in given entry.
from p in Post, select: count(p.id, :distinct)
Adds a given interval to a date.
See datetime_add/3
for more information.
See Intervals for supported interval
values.
Adds a given interval to a datetime.
The first argument is a datetime
, the second one is the count
for the interval, which may be either positive or negative and
the interval value:
# Get all items published since the last month
from p in Post, where: p.published_at >
datetime_add(^NaiveDateTime.utc_now(), -1, "month")
In the example above, we used datetime_add/3
to subtract one month
from the current datetime and compared it with the p.published_at
.
If you want to perform operations on date, date_add/3
could be used.
See Intervals for supported interval
values.
Allows a field to be dynamically accessed.
def at_least_four(doors_or_tires) do
from c in Car,
where: field(c, ^doors_or_tires) >= 4
end
In the example above, both at_least_four(:doors)
and at_least_four(:tires)
would be valid calls as the field is dynamically generated.
Applies the given expression as a FILTER clause against an aggregate. This is currently only supported by Postgres.
from p in Payment, select: filter(avg(p.value), p.value > 0 and p.value < 100)
from p in Payment, select: avg(p.value) |> filter(p.value < 0)
Send fragments directly to the database.
It is not possible to represent all possible database queries using Ecto's query syntax. When such is required, it is possible to use fragments to send any expression to the database:
def unpublished_by_title(title) do
from p in Post,
where: is_nil(p.published_at) and
fragment("lower(?)", p.title) == ^title
end
Every occurence of the ?
character will be interpreted as a place
for additional argument. If the literal character ?
is required,
it can be escaped with \\?
(one escape for strings, another for
fragment).
In the example above, we are using the lower procedure in the database to downcase the title column.
It is very important to keep in mind that Ecto is unable to do any
type casting described above when fragments are used. You can
however use the type/2
function to give Ecto some hints:
fragment("lower(?)", p.title) == type(^title, :string)
Or even say the right side is of the same type as p.title
:
fragment("lower(?)", p.title) == type(^title, p.title)
Keyword fragments
In order to support databases that do not have string-based queries, like MongoDB, fragments also allow keywords to be given:
from p in Post,
where: fragment(title: ["$eq": ^some_value])
Defining custom functions using macros and fragment
You can add a custom Ecto query function using macros. For example to expose SQL's coalesce function you can define this macro:
defmodule CustomFunctions do
defmacro coalesce(left, right) do
quote do
fragment("coalesce(?, ?)", unquote(left), unquote(right))
end
end
end
To have coalesce/2 available, just import the module that defines it.
import CustomFunctions
The only downside is that it will show up as a fragment when inspecting the Elixir query. Other than that, it should be equivalent to a built-in Ecto query function.
Adds the given interval to the current time in UTC.
The current time in UTC is retrieved from Elixir and not from the database.
See Intervals for supported interval
values.
Examples
from a in Account, where: a.expires_at < from_now(3, "month")
Searches for search
in string
in a case insensitive fashion.
from p in Post, where: ilike(p.body, "Chapter%")
Translates to the underlying SQL ILIKE query. This operation is only available on PostgreSQL.
Checks if the left-value is included in the right one.
from p in Post, where: p.id in [1, 2, 3]
The right side may either be a list, a literal list or even a column in the database with array type:
from p in Post, where: "elixir" in p.tags
Checks if the given value is nil.
from p in Post, where: is_nil(p.published_at)
To check if a given value is not nil use:
from p in Post, where: not is_nil(p.published_at)
Returns value from the json_field
pointed to by path
.
from(post in Post, select: json_extract_path(post.meta, ["author", "name"]))
The query can be also rewritten as:
from(post in Post, select: post.meta["author"]["name"])
Path elements can be integers to access values in JSON arrays:
from(post in Post, select: post.meta["tags"][0]["name"])
Any element of the path can be dynamic:
field = "name"
from(post in Post, select: post.meta["author"][^field])
Warning
The underlying data in the JSON column is returned without any
additional decoding. This means "null" JSON values are not the
same as SQL's "null". For example, the Repo.all
operation below
returns an empty list because p.meta["author"]
returns JSON's
null and therefore is_nil
does not succeed:
Repo.insert!(%Post{meta: %{author: nil}})
Repo.all(from(post in Post, where: is_nil(p.meta["author"])))
Similarly, other types, such as datetimes, are returned as strings.
This means conditions like post.meta["published_at"] > from_now(-1, "day")
may return incorrect results or fail as the underlying database
tries to compare incompatible types. You can, however, use type/2
to force the types on the database level.
Searches for search
in string
.
from p in Post, where: like(p.body, "Chapter%")
Translates to the underlying SQL LIKE query, therefore
its behaviour is dependent on the database. In particular,
PostgreSQL will do a case-sensitive operation, while the
majority of other databases will be case-insensitive. For
performing a case-insensitive like
in PostgreSQL, see ilike/2
.
You should be very careful when allowing user sent data to be used as part of LIKE query, since they allow to perform LIKE-injections.
Used in select
to specify which fields should be returned as a map.
For example, if you don't need all fields to be returned or
neither need a struct, you can use map/2
to achieve both:
from p in Post,
select: map(p, [:title, :body])
map/2
can also be used to dynamically select fields:
fields = [:title, :body]
from p in Post, select: map(p, ^fields)
If the same source is selected multiple times with a map
,
the fields are merged in order to avoid fetching multiple copies
from the database. In other words, the expression below:
from(city in City, preload: :country,
select: {map(city, [:country_id]), map(city, [:name])}
is expanded to:
from(city in City, preload: :country,
select: {map(city, [:country_id, :name]), map(city, [:country_id, :name])}
For preloads, the selected fields may be specified from the parent:
from(city in City, preload: :country,
select: map(city, [:country_id, :name, country: [:id, :population]]))
It's also possible to select a struct from one source but only a subset of fields from one of its associations:
from(city in City, preload: :country,
select: %{city | country: map(country: [:id, :population]))
IMPORTANT: When filtering fields for associations, you MUST include the foreign keys used in the relationship, otherwise Ecto will be unable to find associated records.
Calculates the maximum for the given entry.
from p in Payment, select: max(p.value)
Merges the map on the right over the map on the left.
If the map on the left side is a struct, Ecto will check all of the field on the right previously exist on the left before merging.
from(city in City, select: merge(city, %{virtual_field: "some_value"}))
This function is primarily used by Ecto.Query.select_merge/3
to merge different select clauses.
Calculates the minimum for the given entry.
from p in Payment, select: min(p.value)
Unary not
operation.
Binary or
operation.
Refer to a named atom binding in the parent query.
This is available only inside subqueries.
See the "Named binding" section in Ecto.Query
for more information.
Used in select
to specify which struct fields should be returned.
For example, if you don't need all fields to be returned
as part of a struct, you can filter it to include only certain
fields by using struct/2
:
from p in Post,
select: struct(p, [:title, :body])
struct/2
can also be used to dynamically select fields:
fields = [:title, :body]
from p in Post, select: struct(p, ^fields)
As a convenience, select
allows developers to take fields
without an explicit call to struct/2
:
from p in Post, select: [:title, :body]
Or even dynamically:
fields = [:title, :body]
from p in Post, select: ^fields
For preloads, the selected fields may be specified from the parent:
from(city in City, preload: :country,
select: struct(city, [:country_id, :name, country: [:id, :population]]))
If the same source is selected multiple times with a struct
,
the fields are merged in order to avoid fetching multiple copies
from the database. In other words, the expression below:
from(city in City, preload: :country,
select: {struct(city, [:country_id]), struct(city, [:name])}
is expanded to:
from(city in City, preload: :country,
select: {struct(city, [:country_id, :name]), struct(city, [:country_id, :name])}
IMPORTANT: When filtering fields for associations, you MUST include the foreign keys used in the relationship, otherwise Ecto will be unable to find associated records.
Calculates the sum for the given entry.
from p in Payment, select: sum(p.value)
Casts the given value to the given type at the database level.
Most of the times, Ecto is able to proper cast interpolated values due to its type checking mechanism. In some situations though, you may want to tell Ecto that a parameter has some particular type:
type(^title, :string)
It is also possible to say the type must match the same of a column:
type(^title, p.title)
Ecto will ensure ^title
is cast to the given type and enforce such
type at the database level. If the value is returned in a select
,
Ecto will also enforce the proper type throughout.
When performing arithmetic operations, type/2
can be used to cast
all the parameters in the operation to the same type:
from p in Post,
select: type(p.visits + ^a_float + ^a_integer, :decimal)
Inside select
, type/2
can also be used to cast fragments:
type(fragment("NOW"), :naive_datetime)
Or to type fields from schemaless queries:
from p in "posts", select: type(p.cost, :decimal)
Or to type aggregation results:
from p in Post, select: type(avg(p.cost), :integer)
from p in Post, select: type(filter(avg(p.cost), p.cost > 0), :integer)