Operator Expressions

Operators perform a specific operation on the input values or expressions.

Arithmetic Operators

Arithmetic operators are used to perform operations on numeric values.

Operator

Purpose

Example

-

A unary operator that denotes a negative value

WHERE field_name = -1

+, -

As binary operators, they add or subtract

WHERE field_name + 1 > 2

*

Multiply

WHERE field_name * 2 > 2

/

Divide

WHERE field_name / 2 > 1

%

Modulo

WHERE field_name % 2 > 1

abs(x)

Absolute value

WHERE abs(field_name) = 1

ceil(x)

Next whole number

WHERE ceil(field_name) > 1

floor(x)

Previous whole number

WHERE floor(field_name) > 1



String Operators

Performs various operations on string scalar types:

Operator

Purpose

Example

||

String concatenation

WHERE field_name || 'world' = 'hello world'

concat(str, ...)

String concatenation

WHERE concat(field_name, 'world') = 'hello world'

contains(str, substr)

Returns true if substr is contained in str, otherwise returns false

WHERE contains(field_name, 'hello')

starts_with(str, substr)

Returns true if str starts with substr, otherwise returns false

WHERE starts_with(field_name, 'hello')

ends_with(str, substr)

Returns true if str ends with substr, otherwise returns false

WHERE ends_with(field_name, 'world')

byte_length(str)

Returns the length of str in bytes. Strings in Ditto are encoded in UTF-8, so a character can take up to 4 bytes.

WHERE byte_length(field_name) > 4

char_length(str) character_length(str)

Returns the number of characters in str.

WHERE char_length(field_name) > 4



Scalar Type Operators

Indicates which scalar type to interact with:

Operator

Purpose

Example

is_boolean(x)

Boolean type test

WHERE is_boolean(field_name)

is_number(x)

Float, Int, or UInt type test

WHERE is_number(field_name)

is_string(x)

String type test

WHERE is_string(field_name)

type(x)

Returns a string name representing the type

WHERE type(field_name) = 'string'

Following is the mapping between data types and scalar types; all of which are case-sensitive:

REGISTER

MAP

ATTACHMENT

  • null
  • boolean
  • number
  • binary
  • string
  • array
  • object

object

object



Array Operators

The following table provides an overview of interactions with array. Arrays can be either scalar values in a REGISTER or an input via an argument.

Operator

Purpose

Example

array_contains(array, value)

Returns true if the array contains the value, otherwise returns false

WHERE array_contains(field_name, 'blue')

WHERE array_contains(:your_array, field_name)

array_contains_null(array)

Returns true if the array contains a NULL value, otherwise returns false

WHERE array_contains_null(field_name)

array_length(array)

Returns the length of the array.

WHERE array_length(field_name) > 0



Collection Operators

The following table provides the collection operators for comparing if a given value is equal to any of the values in a list:

Operator

Purpose

Example

IN (x, y, ...)

Membership test

WHERE department IN ('HR', 'Sales')

NOT IN (x, y, ...)

Non-membership test

WHERE department NOT IN ('HR', 'Sales')



Array and Object Literals

Array and object literals are currently not supported and cannot be used inline.

The following syntax is invalid:

SELECT * FROM your_collection_name WHERE field1 = [0,1]

Instead, use arguments to pass in your array or object.

DQL



Comparison Operators

The comparison operators fall into one of two sub-categories:

  • Missing value comparisons
  • Regular value comparisons

DQL has two ways of representing missing information in an object:

  • The presence of the field with a NULL for its value (as in SQL)
  • The absence of the field (which JSON permits)



The following table provides operators for comparing if a given value is equal to any of the values in a list:

NULL and UNKNOWN are synonym keywords and provide the same behavior.

Operator

Purpose

Example

IS NULL

Returns true if the value is NULL, otherwise returns false

WHERE field_name IS NULL

IS NOT NULL

Returns true if the value is not NULL, otherwise returns false

WHERE field_name IS NOT NULL

IS MISSING

Returns true if the field is missing in a given document, otherwise returns false

WHERE field_name IS MISSING

IS NOT MISSING

Returns true if the field is not missing in a given document, otherwise returns false

WHERE field_name IS NOT MISSING

IS UNKNOWN

Returns true if the value is NULL, otherwise returns false

WHERE field_name IS UNKNOWN

IS NOT UNKNOWN

Returns true if the value is not NULL, otherwise returns false

WHERE field_name IS NOT UNKNOWN

=

Equality test

WHERE field_name = 100

==

Equality test

WHERE field_name == 100

!=

Inequality test

WHERE field_name != 100

<>

Inequality test

WHERE field_name <> 100

<

Less than

WHERE field_name < 100

>

Greater than

WHERE field_name > 100

<=

Less than or equal to

WHERE field_name <= 100

>=

Greater than or equal to

WHERE field_name >= 100

Comparison Operations with NULL

In DQL, NULL represents missing or unknown data. It's not a value in the way that 1 or 'text' are values. Any comparison operation that includes NULL will result in NULL.

Equation

Result

NULL = NULL

NULL

NULL <> NULL

NULL

1 = NULL

NULL

1 > NULL

NULL



Conditional Operators

Conditional Operators allow you to more easily express conditional logic within your DQL queries.

Operator

Purpose

Example

coalesce(v1, v2, ...)

Returns the first non-null value passed to the function

WHERE coalesce(field_name_1, field_name_2, field_name_3) = 'foo'

decode(input, comp1, res1, [comp2, res2...] [, default value])

Compares the input against each compparameter, and if they match type and value, returns the correspondingres value.

If no matches are found, the default value is returned (which defaults to NULL).

WHERE decode(field_name, 'foo', 'I found foo', 'bar', 'I found bar', 'I found nothing') = 'foo'

nvl(input, default)

Returns the input if input evaluates to NOT NULL, otherwise returns default.

WHERE nvl(field_name, 0) > 10

Logical Operators

Logical operators perform logical NOTAND, and OR operations over Boolean values (TRUE and FALSE), plus NULL and MISSING.

Operator

Purpose

Example

NOT

Returns true if the following condition is false, otherwise returns false.

WHERE NOT field_name = true

AND

Returns true if both branches are true, otherwise returns false

WHERE field_1 = true AND field_2 = false

OR

Returns true if one branch is true; otherwise, returns false

WHERE field_1 = true OR field_2 = false

NOT Truth Table

Value

Result

True

False

False

True

NULL

NULL

AND Truth Table



True

NULL

False

True

True

NULL

False

NULL

NULL

NULL

False

False

False

False

False

OR Truth Table



True

NULL

False

True

True

True

True

NULL

True

NULL

NULL

False

True

NULL

False