GoogleSQL for BigQuery supports conversion. Conversion includes, but is not limited to, casting, coercion, and supertyping.
- Casting is explicit conversion and uses the
CAST()
function. - Coercion is implicit conversion, which GoogleSQL performs automatically under the conditions described below.
- A supertype is a common type to which two or more expressions can be coerced.
There are also conversions that have their own function names, such as
PARSE_DATE()
. To learn more about these functions, see
Conversion functions.
Comparison of casting and coercion
The following table summarizes all possible cast and coercion possibilities for GoogleSQL data types. The Coerce to column applies to all expressions of a given data type, (for example, a column), but literals and parameters can also be coerced. See literal coercion and parameter coercion for details.
From type | Cast to | Coerce to |
---|---|---|
INT64 |
BOOL INT64 NUMERIC BIGNUMERIC FLOAT64 STRING |
NUMERIC BIGNUMERIC FLOAT64 |
NUMERIC |
INT64 NUMERIC BIGNUMERIC FLOAT64 STRING |
BIGNUMERIC FLOAT64 |
BIGNUMERIC |
INT64 NUMERIC BIGNUMERIC FLOAT64 STRING |
FLOAT64 |
FLOAT64 |
INT64 NUMERIC BIGNUMERIC FLOAT64 STRING |
|
BOOL |
BOOL INT64 STRING |
|
STRING |
BOOL INT64 NUMERIC BIGNUMERIC FLOAT64 STRING BYTES DATE DATETIME TIME TIMESTAMP RANGE |
|
BYTES |
STRING BYTES |
|
DATE |
STRING DATE DATETIME TIMESTAMP |
DATETIME |
DATETIME |
STRING DATE DATETIME TIME TIMESTAMP |
|
TIME |
STRING TIME |
|
TIMESTAMP |
STRING DATE DATETIME TIME TIMESTAMP |
|
ARRAY |
ARRAY |
|
STRUCT |
STRUCT |
|
RANGE |
RANGE STRING |
Casting
Most data types can be cast from one type to another with the CAST
function.
When using CAST
, a query can fail if GoogleSQL is unable to perform
the cast. If you want to protect your queries from these types of errors, you
can use SAFE_CAST
. To learn more about the rules for CAST
, SAFE_CAST
and
other casting functions, see
Conversion functions.
Coercion
GoogleSQL coerces the result type of an argument expression to another
type if needed to match function signatures. For example, if function func()
is defined to take a single argument of type FLOAT64
and an expression is used as an argument that has a result type of
INT64
, then the result of the expression will be
coerced to FLOAT64
type before func()
is computed.
Literal coercion
GoogleSQL supports the following literal coercions:
Input data type | Result data type | Notes |
---|---|---|
FLOAT64 literal |
NUMERIC |
Coercion may not be exact, and returns a close value. |
STRING literal |
DATE DATETIME TIME TIMESTAMP |
Literal coercion is needed when the actual literal type is different from the
type expected by the function in question. For
example, if function func()
takes a DATE argument,
then the expression func("2014-09-27")
is valid because the
string literal "2014-09-27"
is coerced to
DATE
.
Literal conversion is evaluated at analysis time, and gives an error if the input literal cannot be converted successfully to the target type.
Parameter coercion
GoogleSQL supports the following parameter coercions:
Input data type | Result data type |
---|---|
STRING parameter |
DATE DATETIME TIME TIMESTAMP |
If the parameter value cannot be coerced successfully to the target type, an error is provided.
Supertypes
A supertype is a common type to which two or more expressions can be coerced.
Supertypes are used with set operations such as UNION ALL
and expressions such
as CASE
that expect multiple arguments with matching types. Each type has one
or more supertypes, including itself, which defines its set of supertypes.
Input type | Supertypes |
---|---|
BOOL |
BOOL |
INT64 |
INT64 FLOAT64 NUMERIC BIGNUMERIC |
FLOAT64 |
FLOAT64 |
NUMERIC |
NUMERIC BIGNUMERIC FLOAT64 |
DECIMAL |
DECIMAL BIGDECIMAL FLOAT64 |
BIGNUMERIC |
BIGNUMERIC FLOAT64 |
BIGDECIMAL |
BIGDECIMAL FLOAT64 |
STRING |
STRING |
DATE |
DATE |
TIME |
TIME |
DATETIME |
DATETIME |
TIMESTAMP |
TIMESTAMP |
BYTES |
BYTES |
STRUCT |
STRUCT with the same field position types. |
ARRAY |
ARRAY with the same element types. |
GEOGRAPHY |
GEOGRAPHY |
RANGE |
RANGE with the same subtype. |
If you want to find the supertype for a set of input types, first determine the intersection of the set of supertypes for each input type. If that set is empty then the input types have no common supertype. If that set is non-empty, then the common supertype is generally the most specific type in that set. Generally, the most specific type is the type with the most restrictive domain.
Examples
Input types | Common supertype | Returns | Notes |
---|---|---|---|
INT64 FLOAT64 |
FLOAT64 |
FLOAT64 |
If you apply supertyping to INT64 and
FLOAT64 ,
supertyping succeeds because they they share a supertype,
FLOAT64 .
|
INT64 BOOL |
None | Error |
If you apply supertyping to INT64 and BOOL ,
supertyping fails because they do not share a common supertype.
|
Exact and inexact types
Numeric types can be exact or inexact. For supertyping, if all of the input types are exact types, then the resulting supertype can only be an exact type.
The following table contains a list of exact and inexact numeric data types.
Exact types | Inexact types |
---|---|
INT64 NUMERIC BIGNUMERIC |
FLOAT64 |
Examples
Input types | Common supertype | Returns | Notes |
---|---|---|---|
INT64 FLOAT64 |
FLOAT64 |
FLOAT64 |
If supertyping is applied to INT64 and DOUBLE ,
supertyping succeeds because there are exact and inexact numeric types
being supertyped.
|
Types specificity
Each type has a domain of values that it supports. A type with a
narrow domain is more specific than a type with a wider domain. Exact types
are more specific than inexact types because inexact types have a wider range
of domain values that are supported than exact types. For example,
INT64
is more specific than FLOAT64
.
Supertypes and literals
Supertype rules for literals are more permissive than for normal expressions, and are consistent with implicit coercion rules. The following algorithm is used when the input set of types includes types related to literals:
- If there exists non-literals in the set, find the set of common supertypes of the non-literals.
- If there is at least one possible supertype, find the most specific type to which the remaining literal types can be implicitly coerced and return that supertype. Otherwise, there is no supertype.
- If the set only contains types related to literals, compute the supertype of the literal types.
- If all input types are related to
NULL
literals, then the resulting supertype isINT64
. - If no common supertype is found, an error is produced.
Examples
Input types | Common supertype | Returns |
---|---|---|
INT64 literalUINT64 expression |
UINT64 |
UINT64 |
TIMESTAMP expressionSTRING literal |
TIMESTAMP |
TIMESTAMP |
NULL literalNULL literal |
INT64 |
INT64 |
BOOL literalTIMESTAMP literal |
None | Error |