Expressions, functions, and operators

This page explains Cloud Spanner SQL expressions, including functions and operators.

Function call rules

The following rules apply to all functions unless explicitly indicated otherwise in the function description:

• For functions that accept numeric types, if one operand is a floating point operand and the other operand is another numeric type, both operands are converted to FLOAT64 before the function is evaluated.
• If an operand is NULL, the result is NULL, with the exception of the IS operator.
• For functions that are time zone sensitive (as indicated in the function description), the default time zone, America/Los_Angeles, is used if a time zone is not specified.

SAFE. prefix

Syntax:

SAFE.function_name()

Description

If you begin a scalar function with the SAFE. prefix, it will return NULL instead of an error. The SAFE. prefix only prevents errors from the prefixed function itself: it does not prevent errors that occur while evaluating argument expressions. The SAFE. prefix only prevents errors that occur because of the value of the function inputs, such as "value out of range" errors; other errors, such as internal or system errors, may still occur. If the function does not return an error, SAFE. has no effect on the output.

Operators, such as + and =, do not support the SAFE. prefix. To prevent errors from a division operation, use SAFE_DIVIDE. Some operators, such as IN, ARRAY, and UNNEST, resemble functions, but do not support the SAFE. prefix. The CAST and EXTRACT functions also do not support the SAFE. prefix. To prevent errors from casting, use SAFE_CAST.

Example

In the following example, the first use of the SUBSTR function would normally return an error, because the function does not support length arguments with negative values. However, the SAFE. prefix causes the function to return NULL instead. The second use of the SUBSTR function provides the expected output: the SAFE. prefix has no effect.

SELECT SAFE.SUBSTR('foo', 0, -2) AS safe_output UNION ALL
SELECT SAFE.SUBSTR('bar', 0, 2) AS safe_output;

+-------------+
| safe_output |
+-------------+
| NULL        |
| ba          |
+-------------+

Conversion rules

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 Cloud Spanner SQL 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 Cloud Spanner SQL data types. The Coerce to column applies to all expressions of a given data type, (for example, a column).

From type	Cast to	Coerce to
INT64	BOOL INT64 NUMERIC FLOAT64 STRING	NUMERIC FLOAT64
NUMERIC	INT64 NUMERIC FLOAT64 STRING	FLOAT64
FLOAT64	INT64 NUMERIC FLOAT64 STRING
BOOL	BOOL INT64 STRING
STRING	BOOL INT64 NUMERIC FLOAT64 STRING BYTES DATE TIMESTAMP
BYTES	STRING BYTES
DATE	STRING DATE TIMESTAMP
TIMESTAMP	STRING DATE TIMESTAMP
ARRAY	ARRAY
STRUCT	STRUCT

Casting

Most data types can be cast from one type to another with the CAST function. When using CAST, a query can fail if Cloud Spanner SQL 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

Cloud Spanner SQL 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.

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
FLOAT64	FLOAT64
NUMERIC	NUMERIC FLOAT64
STRING	STRING
DATE	DATE
TIMESTAMP	TIMESTAMP
BYTES	BYTES
STRUCT	STRUCT with the same field position types.
ARRAY	ARRAY with the same element types.

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	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 is INT64.
• If no common supertype is found, an error is produced.

Examples

Input types	Common supertype	Returns
INT64 literal UINT64 expression	UINT64	UINT64
TIMESTAMP expression STRING literal	TIMESTAMP	TIMESTAMP
NULL literal NULL literal	INT64	INT64
BOOL literal TIMESTAMP literal	None	Error

Aggregate functions

An aggregate function is a function that summarizes the rows of a group into a single value. COUNT, MIN and MAX are examples of aggregate functions.

SELECT COUNT(*) as total_count, COUNT(fruit) as non_null_count,
       MIN(fruit) as min, MAX(fruit) as max
FROM (SELECT NULL as fruit UNION ALL
      SELECT "apple" as fruit UNION ALL
      SELECT "pear" as fruit UNION ALL
      SELECT "orange" as fruit)

+-------------+----------------+-------+------+
| total_count | non_null_count | min   | max  |
+-------------+----------------+-------+------+
| 4           | 3              | apple | pear |
+-------------+----------------+-------+------+

When used in conjunction with a GROUP BY clause, the groups summarized typically have at least one row. When the associated SELECT has no GROUP BY clause or when certain aggregate function modifiers filter rows from the group to be summarized it is possible that the aggregate function needs to summarize an empty group. In this case, the COUNT and COUNTIF functions return 0, while all other aggregate functions return NULL.

The following sections describe the aggregate functions that Cloud Spanner SQL supports.

ANY_VALUE

ANY_VALUE(expression [HAVING {MAX | MIN} expression2])

Description

Returns expression for some row chosen from the group. Which row is chosen is nondeterministic, not random. Returns NULL when the input produces no rows. Returns NULL when expression is NULL for all rows in the group.

ANY_VALUE behaves as if IGNORE NULLS is specified; Rows for which expression is NULL are not considered and won't be selected.

Supported Argument Types

Any

Optional Clause

HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Returned Data Types

Matches the input data type.

Examples

SELECT ANY_VALUE(fruit) as any_value
FROM UNNEST(["apple", "banana", "pear"]) as fruit;

+-----------+
| any_value |
+-----------+
| apple     |
+-----------+

ARRAY_AGG

ARRAY_AGG([DISTINCT] expression [{IGNORE|RESPECT} NULLS] [HAVING {MAX | MIN} expression2])

Description

Returns an ARRAY of expression values.

Supported Argument Types

All data types except ARRAY.

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. IGNORE NULLS or RESPECT NULLS: If IGNORE NULLS is specified, the NULL values are excluded from the result. If RESPECT NULLS is specified, the NULL values are included in the result. If neither is specified, the NULL values are included in the result.
3. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Output Element Order

The order of the elements in the output is non-deterministic, which means you might receive a different result each time you use this function.

Returned Data Types

ARRAY

If there are zero input rows, this function returns NULL.

Examples

SELECT ARRAY_AGG(x) AS array_agg
FROM UNNEST([2, 1, -2, 3, -2, 1, 2]) AS x;

+-------------------------+
| array_agg               |
+-------------------------+
| [2, 1, -2, 3, -2, 1, 2] |
+-------------------------+

SELECT ARRAY_AGG(DISTINCT x) AS array_agg
FROM UNNEST([2, 1, -2, 3, -2, 1, 2]) AS x;

+---------------+
| array_agg     |
+---------------+
| [2, 1, -2, 3] |
+---------------+

SELECT ARRAY_AGG(x IGNORE NULLS) AS array_agg
FROM UNNEST([NULL, 1, -2, 3, -2, 1, NULL]) AS x;

+-------------------+
| array_agg         |
+-------------------+
| [1, -2, 3, -2, 1] |
+-------------------+

ARRAY_CONCAT_AGG

ARRAY_CONCAT_AGG(expression [HAVING {MAX | MIN} expression2])

Description

Concatenates elements from expression of type ARRAY, returning a single ARRAY as a result. This function ignores NULL input arrays, but respects the NULL elements in non-NULL input arrays.

Supported Argument Types

ARRAY

Optional Clause

HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Output Element Order

The order of the elements in the output is non-deterministic, which means you might receive a different result each time you use this function.

Returned Data Types

ARRAY

Returns NULL if there are zero input rows or expression evaluates to NULL for all rows.

Examples

SELECT ARRAY_CONCAT_AGG(x) AS array_concat_agg FROM (
  SELECT [NULL, 1, 2, 3, 4] AS x
  UNION ALL SELECT NULL
  UNION ALL SELECT [5, 6]
  UNION ALL SELECT [7, 8, 9]
);

+-----------------------------------+
| array_concat_agg                  |
+-----------------------------------+
| [NULL, 1, 2, 3, 4, 5, 6, 7, 8, 9] |
+-----------------------------------+

AVG

AVG([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

Returns the average of non-NULL input values, or NaN if the input contains a NaN.

Supported Argument Types

Any numeric input type, such as INT64. Note that, for floating point input types, the return result is non-deterministic, which means you might receive a different result each time you use this function.

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Returned Data Types

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	FLOAT64

Examples

SELECT AVG(x) as avg
FROM UNNEST([0, 2, 4, 4, 5]) as x;

+-----+
| avg |
+-----+
| 3   |
+-----+

SELECT AVG(DISTINCT x) AS avg
FROM UNNEST([0, 2, 4, 4, 5]) AS x;

+------+
| avg  |
+------+
| 2.75 |
+------+

BIT_AND

BIT_AND([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

Performs a bitwise AND operation on expression and returns the result.

Supported Argument Types

• INT64

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Returned Data Types

INT64

Examples

SELECT BIT_AND(x) as bit_and FROM UNNEST([0xF001, 0x00A1]) as x;

+---------+
| bit_and |
+---------+
| 1       |
+---------+

BIT_OR

BIT_OR([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

Performs a bitwise OR operation on expression and returns the result.

Supported Argument Types

• INT64

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Returned Data Types

INT64

Examples

SELECT BIT_OR(x) as bit_or FROM UNNEST([0xF001, 0x00A1]) as x;

+--------+
| bit_or |
+--------+
| 61601  |
+--------+

BIT_XOR

BIT_XOR([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

Performs a bitwise XOR operation on expression and returns the result.

Supported Argument Types

• INT64

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Returned Data Types

INT64

Examples

SELECT BIT_XOR(x) AS bit_xor FROM UNNEST([5678, 1234]) AS x;

+---------+
| bit_xor |
+---------+
| 4860    |
+---------+

SELECT BIT_XOR(x) AS bit_xor FROM UNNEST([1234, 5678, 1234]) AS x;

+---------+
| bit_xor |
+---------+
| 5678    |
+---------+

SELECT BIT_XOR(DISTINCT x) AS bit_xor FROM UNNEST([1234, 5678, 1234]) AS x;

+---------+
| bit_xor |
+---------+
| 4860    |
+---------+

COUNT

1. COUNT(*)

2. COUNT([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

1. Returns the number of rows in the input.
2. Returns the number of rows with expression evaluated to any value other than NULL.

Supported Argument Types

expression can be any data type. If DISTINCT is present, expression can only be a data type that is groupable.

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Types

INT64

Examples

SELECT
  COUNT(*) AS count_star,
  COUNT(DISTINCT x) AS count_dist_x
FROM UNNEST([1, 4, 4, 5]) AS x;

+------------+--------------+
| count_star | count_dist_x |
+------------+--------------+
| 4          | 3            |
+------------+--------------+

SELECT COUNT(*) AS count_star, COUNT(x) AS count_x
FROM UNNEST([1, 4, NULL, 4, 5]) AS x;

+------------+---------+
| count_star | count_x |
+------------+---------+
| 5          | 4       |
+------------+---------+

COUNTIF

COUNTIF([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

Returns the count of TRUE values for expression. Returns 0 if there are zero input rows, or if expression evaluates to FALSE or NULL for all rows.

Supported Argument Types

BOOL

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Types

INT64

Examples

SELECT COUNTIF(x<0) AS num_negative, COUNTIF(x>0) AS num_positive
FROM UNNEST([5, -2, 3, 6, -10, -7, 4, 0]) AS x;

+--------------+--------------+
| num_negative | num_positive |
+--------------+--------------+
| 3            | 4            |
+--------------+--------------+

LOGICAL_AND

LOGICAL_AND(expression [HAVING {MAX | MIN} expression2])

Description

Returns the logical AND of all non-NULL expressions. Returns NULL if there are zero input rows or expression evaluates to NULL for all rows.

Supported Argument Types

BOOL

Optional Clause

HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Types

BOOL

Examples

SELECT LOGICAL_AND(x) AS logical_and FROM UNNEST([true, false, true]) AS x;

+-------------+
| logical_and |
+-------------+
| false       |
+-------------+

LOGICAL_OR

LOGICAL_OR(expression [HAVING {MAX | MIN} expression2])

Description

Returns the logical OR of all non-NULL expressions. Returns NULL if there are zero input rows or expression evaluates to NULL for all rows.

Supported Argument Types

BOOL

Optional Clause

HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Types

BOOL

Examples

SELECT LOGICAL_OR(x) AS logical_or FROM UNNEST([true, false, true]) AS x;

+------------+
| logical_or |
+------------+
| true       |
+------------+

MAX

MAX(expression [HAVING {MAX | MIN} expression2])

Description

Returns the maximum value of non-NULL expressions. Returns NULL if there are zero input rows or expression evaluates to NULL for all rows. Returns NaN if the input contains a NaN.

Supported Argument Types

Any data type except: ARRAY STRUCT

Optional Clause

HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Types

Same as the data type used as the input values.

Examples

SELECT MAX(x) AS max
FROM UNNEST([8, 37, 4, 55]) AS x;

+-----+
| max |
+-----+
| 55  |
+-----+

MIN

MIN(expression [HAVING {MAX | MIN} expression2])

Description

Returns the minimum value of non-NULL expressions. Returns NULL if there are zero input rows or expression evaluates to NULL for all rows. Returns NaN if the input contains a NaN.

Supported Argument Types

Any data type except: ARRAY STRUCT

Optional Clause

HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Types

Same as the data type used as the input values.

Examples

SELECT MIN(x) AS min
FROM UNNEST([8, 37, 4, 55]) AS x;

+-----+
| min |
+-----+
| 4   |
+-----+

STRING_AGG

STRING_AGG([DISTINCT] expression [, delimiter] [HAVING {MAX | MIN} expression2])

Description

Returns a value (either STRING or BYTES) obtained by concatenating non-null values.

If a delimiter is specified, concatenated values are separated by that delimiter; otherwise, a comma is used as a delimiter.

Supported Argument Types

STRING BYTES

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Output Element Order

The order of the elements in the output is non-deterministic, which means you might receive a different result each time you use this function.

Return Data Types

STRING BYTES

Examples

SELECT STRING_AGG(fruit) AS string_agg
FROM UNNEST(["apple", NULL, "pear", "banana", "pear"]) AS fruit;

+------------------------+
| string_agg             |
+------------------------+
| apple,pear,banana,pear |
+------------------------+

SELECT STRING_AGG(fruit, " & ") AS string_agg
FROM UNNEST(["apple", "pear", "banana", "pear"]) AS fruit;

+------------------------------+
| string_agg                   |
+------------------------------+
| apple & pear & banana & pear |
+------------------------------+

SELECT STRING_AGG(DISTINCT fruit, " & ") AS string_agg
FROM UNNEST(["apple", "pear", "banana", "pear"]) AS fruit;

+-----------------------+
| string_agg            |
+-----------------------+
| apple & pear & banana |
+-----------------------+

SUM

SUM([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

Returns the sum of non-null values.

If the expression is a floating point value, the sum is non-deterministic, which means you might receive a different result each time you use this function.

Supported Argument Types

Any supported numeric data types.

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Types

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	INT64	NUMERIC	FLOAT64

Special cases:

Returns NULL if the input contains only NULLs.

Returns NULL if the input contains no rows.

Returns Inf if the input contains Inf.

Returns -Inf if the input contains -Inf.

Returns NaN if the input contains a NaN.

Returns NaN if the input contains a combination of Inf and -Inf.

Examples

SELECT SUM(x) AS sum
FROM UNNEST([1, 2, 3, 4, 5, 4, 3, 2, 1]) AS x;

+-----+
| sum |
+-----+
| 25  |
+-----+

SELECT SUM(DISTINCT x) AS sum
FROM UNNEST([1, 2, 3, 4, 5, 4, 3, 2, 1]) AS x;

+-----+
| sum |
+-----+
| 15  |
+-----+

SELECT SUM(x) AS sum
FROM UNNEST([]) AS x;

+------+
| sum  |
+------+
| NULL |
+------+

Common clauses

HAVING MAX and HAVING MIN clause

Most aggregate functions support two optional clauses called HAVING MAX and HAVING MIN, which restricts the set of rows that a function aggregates to rows that have a maximal or minimal value in a particular column. The syntax generally looks like this:

aggregate_function(expression1 [HAVING {MAX | MIN} expression2])

• HAVING MAX: Restricts the set of rows that the function aggregates to those having a value for expression2 equal to the maximum value for expression2 within the group. The maximum value is equal to the result of MAX(expression2).
• HAVING MIN Restricts the set of rows that the function aggregates to those having a value for expression2 equal to the minimum value for expression2 within the group. The minimum value is equal to the result of MIN(expression2).

These clauses ignore NULL values when computing the maximum or minimum value unless expression2 evaluates to NULL for all rows.

These clauses do not support the following data types: ARRAY STRUCT

Example

In this example, the average rainfall is returned for the most recent year, 2001.

WITH Precipitation AS
 (SELECT 2001 as year, 'spring' as season, 9 as inches UNION ALL
  SELECT 2001, 'winter', 1 UNION ALL
  SELECT 2000, 'fall', 3 UNION ALL
  SELECT 2000, 'summer', 5 UNION ALL
  SELECT 2000, 'spring', 7 UNION ALL
  SELECT 2000, 'winter', 2)
SELECT AVG(inches HAVING MAX year) as average FROM Precipitation

+---------+
| average |
+---------+
| 5       |
+---------+

First, the query gets the rows with the maximum value in the year column. There are two:

+------+--------+--------+
| year | season | inches |
+------+--------+--------+
| 2001 | spring | 9      |
| 2001 | winter | 1      |
+------+--------+--------+

Finally, the query averages the values in the inches column (9 and 1) with this result:

+---------+
| average |
+---------+
| 5       |
+---------+

Statistical aggregate functions

Cloud Spanner SQL supports the following statistical aggregate functions.

STDDEV_SAMP

STDDEV_SAMP([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

Returns the sample (unbiased) standard deviation of the values. The return result is between 0 and +Inf.

All numeric types are supported. If the input is NUMERIC then the internal aggregation is stable with the final output converted to a FLOAT64. Otherwise the input is converted to a FLOAT64 before aggregation, resulting in a potentially unstable result.

This function ignores any NULL inputs. If there are fewer than two non-NULL inputs, this function returns NULL.

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Type

FLOAT64

STDDEV

STDDEV([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

An alias of STDDEV_SAMP.

VAR_SAMP

VAR_SAMP([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

Returns the sample (unbiased) variance of the values. The return result is between 0 and +Inf.

All numeric types are supported. If the input is NUMERIC then the internal aggregation is stable with the final output converted to a FLOAT64. Otherwise the input is converted to a FLOAT64 before aggregation, resulting in a potentially unstable result.

This function ignores any NULL inputs. If there are fewer than two non-NULL inputs, this function returns NULL.

Optional Clauses

The clauses are applied in the following order:

1. DISTINCT: Each distinct value of expression is aggregated only once into the result.
2. HAVING MAX or HAVING MIN: Restricts the set of rows that the function aggregates by a maximum or minimum value. See HAVING MAX and HAVING MIN clause for details.

Return Data Type

FLOAT64

VARIANCE

VARIANCE([DISTINCT] expression [HAVING {MAX | MIN} expression2])

Description

An alias of VAR_SAMP.

Conversion functions

Cloud Spanner SQL supports the following conversion functions. These data type conversions are explicit, but some conversions can happen implicitly. You can learn more about implicit and explicit conversion here.

CAST overview

CAST(expression AS typename)

Description

Cast syntax is used in a query to indicate that the result type of an expression should be converted to some other type.

When using CAST, a query can fail if Cloud Spanner SQL is unable to perform the cast. If you want to protect your queries from these types of errors, you can use SAFE_CAST.

Casts between supported types that do not successfully map from the original value to the target domain produce runtime errors. For example, casting BYTES to STRING where the byte sequence is not valid UTF-8 results in a runtime error.

Examples

The following query results in "true" if x is 1, "false" for any other non-NULL value, and NULL if x is NULL.

CAST(x=1 AS STRING)

CAST AS ARRAY

CAST(expression AS ARRAY<element_type>)

Description

Cloud Spanner SQL supports casting to ARRAY. The expression parameter can represent an expression for these data types:

• ARRAY

Conversion rules

From	To	Rule(s) when casting x
ARRAY	ARRAY	Must be the exact same ARRAY type.

CAST AS BOOL

CAST(expression AS BOOL)

Description

Cloud Spanner SQL supports casting to BOOL. The expression parameter can represent an expression for these data types:

• INT64
• BOOL
• STRING

Conversion rules

From	To	Rule(s) when casting x
INT64	BOOL	Returns FALSE if x is 0, TRUE otherwise.
STRING	BOOL	Returns TRUE if x is "true" and FALSE if x is "false" All other values of x are invalid and throw an error instead of casting to BOOL. STRINGs are case-insensitive when converting to BOOL.

CAST AS BYTES

CAST(expression AS BYTES)

Description

Cloud Spanner SQL supports casting to BYTES. The expression parameter can represent an expression for these data types:

• BYTES
• STRING

Conversion rules

From	To	Rule(s) when casting x
STRING	BYTES	STRINGs are cast to BYTES using UTF-8 encoding. For example, the STRING "©", when cast to BYTES, would become a 2-byte sequence with the hex values C2 and A9.

CAST AS DATE

CAST(expression AS DATE)

Description

Cloud Spanner SQL supports casting to DATE. The expression parameter can represent an expression for these data types:

• STRING
• TIMESTAMP

Conversion rules

From	To	Rule(s) when casting x
STRING	DATE	When casting from string to date, the string must conform to the supported date literal format, and is independent of time zone. If the string expression is invalid or represents a date that is outside of the supported min/max range, then an error is produced.
TIMESTAMP	DATE	Casting from a timestamp to date effectively truncates the timestamp as of the default time zone.

CAST AS FLOAT64

CAST(expression AS FLOAT64)

Description

Cloud Spanner SQL supports casting to floating point types. The expression parameter can represent an expression for these data types:

• INT64
• FLOAT64
• NUMERIC
• STRING

Conversion rules

From	To	Rule(s) when casting x
INT64	FLOAT64	Returns a close but potentially not exact floating point value.
NUMERIC	FLOAT64	NUMERIC will convert to the closest floating point number with a possible loss of precision.
STRING	FLOAT64	Returns x as a floating point value, interpreting it as having the same form as a valid floating point literal. Also supports casts from "[+,-]inf" to [,-]Infinity, "[+,-]infinity" to [,-]Infinity, and "[+,-]nan" to NaN. Conversions are case-insensitive.

CAST AS INT64

CAST(expression AS INT64)

Description

Cloud Spanner SQL supports casting to integer types. The expression parameter can represent an expression for these data types:

• INT64
• FLOAT64
• NUMERIC
• BOOL
• STRING

Conversion rules

From	To	Rule(s) when casting x
FLOAT64	INT64	Returns the closest integer value. Halfway cases such as 1.5 or -0.5 round away from zero.
BOOL	INT64	Returns 1 if x is TRUE, 0 otherwise.
STRING	INT64	A hex string can be cast to an integer. For example, 0x123 to 291 or -0x123 to -291.

Examples

If you are working with hex strings (0x123), you can cast those strings as integers:

SELECT '0x123' as hex_value, CAST('0x123' as INT64) as hex_to_int;

+-----------+------------+
| hex_value | hex_to_int |
+-----------+------------+
| 0x123     | 291        |
+-----------+------------+

SELECT '-0x123' as hex_value, CAST('-0x123' as INT64) as hex_to_int;

+-----------+------------+
| hex_value | hex_to_int |
+-----------+------------+
| -0x123    | -291       |
+-----------+------------+

CAST AS NUMERIC

CAST(expression AS NUMERIC)

Description

Cloud Spanner SQL supports casting to NUMERIC. The expression parameter can represent an expression for these data types:

• INT64
• FLOAT64
• NUMERIC
• STRING

Conversion rules

From	To	Rule(s) when casting x
FLOAT64	NUMERIC	The floating point number will round half away from zero. Casting a NaN, +inf or -inf will return an error. Casting a value outside the range of NUMERIC will return an overflow error.
STRING	NUMERIC	The numeric literal contained in the STRING must not exceed the maximum precision or range of the NUMERIC type, or an error will occur. If the number of digits after the decimal point exceeds nine, then the resulting NUMERIC value will round half away from zero to have nine digits after the decimal point.

CAST AS STRING

CAST(expression AS STRING)

Description

Cloud Spanner SQL supports casting to STRING. The expression parameter can represent an expression for these data types:

• INT64
• FLOAT64
• NUMERIC
• BOOL
• BYTES
• DATE
• TIMESTAMP
• STRING

Conversion rules

From	To	Rule(s) when casting x
FLOAT64	STRING	Returns an approximate string representation.
BOOL	STRING	Returns "true" if x is TRUE, "false" otherwise.
BYTES	STRING	Returns x interpreted as a UTF-8 STRING. For example, the BYTES literal b'\xc2\xa9', when cast to STRING, is interpreted as UTF-8 and becomes the unicode character "©". An error occurs if x is not valid UTF-8.
DATE	STRING	Casting from a date type to a string is independent of time zone and is of the form YYYY-MM-DD.
TIMESTAMP	STRING	When casting from timestamp types to string, the timestamp is interpreted using the default time zone, America/Los_Angeles. The number of subsecond digits produced depends on the number of trailing zeroes in the subsecond part: the CAST function will truncate zero, three, or six digits.

Examples

SELECT CAST(CURRENT_DATE() AS STRING) AS current_date

+---------------+
| current_date  |
+---------------+
| 2021-03-09    |
+---------------+

CAST AS STRUCT

CAST(expression AS STRUCT)

Description

Cloud Spanner SQL supports casting to STRUCT. The expression parameter can represent an expression for these data types:

• STRUCT

Conversion rules

From	To	Rule(s) when casting x
STRUCT	STRUCT	Allowed if the following conditions are met: The two STRUCTs have the same number of fields. The original STRUCT field types can be explicitly cast to the corresponding target STRUCT field types (as defined by field order, not field name).

CAST AS TIMESTAMP

CAST(expression AS TIMESTAMP)

Description

Cloud Spanner SQL supports casting to TIMESTAMP. The expression parameter can represent an expression for these data types:

• STRING
• TIMESTAMP

Conversion rules

From	To	Rule(s) when casting x
STRING	TIMESTAMP	When casting from string to a timestamp, string_expression must conform to the supported timestamp literal formats, or else a runtime error occurs. The string_expression may itself contain a time zone. If there is a time zone in the string_expression, that time zone is used for conversion, otherwise the default time zone, America/Los_Angeles, is used. If the string has fewer than six digits, then it is implicitly widened. An error is produced if the string_expression is invalid, has more than six subsecond digits (i.e. precision greater than microseconds), or represents a time outside of the supported timestamp range.
DATE	TIMESTAMP	Casting from a date to a timestamp interprets date_expression as of midnight (start of the day) in the default time zone, America/Los_Angeles.

Examples

The following example casts a string-formatted timestamp as a timestamp:

SELECT CAST("2020-06-02 17:00:53.110+00:00" AS TIMESTAMP) AS as_timestamp

-- Results depend upon where this query was executed.
+-------------------------+
| as_timestamp            |
+-------------------------+
| 2020-06-03T00:00:53.11Z |
+-------------------------+

SAFE_CAST

SAFE_CAST(expression AS typename)

Description

When using CAST, a query can fail if Cloud Spanner SQL is unable to perform the cast. For example, the following query generates an error:

SELECT CAST("apple" AS INT64) AS not_a_number;

If you want to protect your queries from these types of errors, you can use SAFE_CAST. SAFE_CAST is identical to CAST, except it returns NULL instead of raising an error.

SELECT SAFE_CAST("apple" AS INT64) AS not_a_number;

+--------------+
| not_a_number |
+--------------+
| NULL         |
+--------------+

If you are casting from bytes to strings, you can also use the function, SAFE_CONVERT_BYTES_TO_STRING. Any invalid UTF-8 characters are replaced with the unicode replacement character, U+FFFD. See SAFE_CONVERT_BYTES_TO_STRING for more information.

Other conversion functions

You can learn more about these conversion functions elsewhere in the documentation:

Conversion function	From	To
ARRAY_TO_STRING	ARRAY	STRING
DATE	Various data types	DATE
FROM_BASE32	STRING	BYTEs
FROM_BASE64	STRING	BYTES
FROM_HEX	STRING	BYTES
PARSE_DATE	STRING	DATE
PARSE_TIMESTAMP	STRING	TIMESTAMP
SAFE_CONVERT_BYTES_TO_STRING	BYTES	STRING
STRING	TIMESTAMP	STRING
TIMESTAMP	Various data types	TIMESTAMP
TO_BASE32	BYTES	STRING
TO_BASE64	BYTES	STRING
TO_HEX	BYTES	STRING

Mathematical functions

All mathematical functions have the following behaviors:

• They return NULL if any of the input parameters is NULL.
• They return NaN if any of the arguments is NaN.

ABS

ABS(X)

Description

Computes absolute value. Returns an error if the argument is an integer and the output value cannot be represented as the same type; this happens only for the largest negative input value, which has no positive representation.

X	ABS(X)
25	25
-25	25
+inf	+inf
-inf	+inf

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	INT64	NUMERIC	FLOAT64

SIGN

SIGN(X)

Description

Returns -1, 0, or +1 for negative, zero and positive arguments respectively. For floating point arguments, this function does not distinguish between positive and negative zero.

X	SIGN(X)
25	+1
0	0
-25	-1
NaN	NaN

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	INT64	NUMERIC	FLOAT64

IS_INF

IS_INF(X)

Description

Returns TRUE if the value is positive or negative infinity.

Returns FALSE for NUMERIC inputs since NUMERIC cannot be INF.

X	IS_INF(X)
+inf	TRUE
-inf	TRUE
25	FALSE

IS_NAN

IS_NAN(X)

Description

Returns TRUE if the value is a NaN value.

Returns FALSE for NUMERIC inputs since NUMERIC cannot be NaN.

X	IS_NAN(X)
NaN	TRUE
25	FALSE

IEEE_DIVIDE

IEEE_DIVIDE(X, Y)

Description

Divides X by Y; this function never fails. Returns FLOAT64. Unlike the division operator (/), this function does not generate errors for division by zero or overflow.

X	Y	IEEE_DIVIDE(X, Y)
20.0	4.0	5.0
0.0	25.0	0.0
25.0	0.0	+inf
-25.0	0.0	-inf
0.0	0.0	NaN
0.0	NaN	NaN
NaN	0.0	NaN
+inf	+inf	NaN
-inf	-inf	NaN

SQRT

SQRT(X)

Description

Computes the square root of X. Generates an error if X is less than 0.

X	SQRT(X)
25.0	5.0
+inf	+inf
X < 0	Error

Return Data Type

NUMERIC is not supported directly as an input. You must first explicitly cast NUMERIC to FLOAT64. The output will be FLOAT64.

POW

POW(X, Y)

Description

Returns the value of X raised to the power of Y. If the result underflows and is not representable, then the function returns a value of zero.

X	Y	POW(X, Y)
2.0	3.0	8.0
1.0	Any value including NaN	1.0
Any value including NaN	0	1.0
-1.0	+inf	1.0
-1.0	-inf	1.0
ABS(X) < 1	-inf	+inf
ABS(X) > 1	-inf	0.0
ABS(X) < 1	+inf	0.0
ABS(X) > 1	+inf	+inf
-inf	Y < 0	0.0
-inf	Y > 0	-inf if Y is an odd integer, +inf otherwise
+inf	Y < 0	0
+inf	Y > 0	+inf
Finite value < 0	Non-integer	Error
0	Finite value < 0	Error

Return Data Type

The return data type is determined by the argument types with the following table.

INPUT	INT64	NUMERIC	FLOAT64
INT64	FLOAT64	NUMERIC	FLOAT64
NUMERIC	NUMERIC	NUMERIC	FLOAT64
FLOAT64	FLOAT64	FLOAT64	FLOAT64

POWER

POWER(X, Y)

Description

Synonym of POW(X, Y).

EXP

EXP(X)

Description

Computes e to the power of X, also called the natural exponential function. If the result underflows, this function returns a zero. Generates an error if the result overflows.

X	EXP(X)
0.0	1.0
+inf	+inf
-inf	0.0

Return Data Type

NUMERIC is not supported directly as an input. You must first explicitly cast NUMERIC input to FLOAT64. The output will be FLOAT64.

LN

LN(X)

Description

Computes the natural logarithm of X. Generates an error if X is less than or equal to zero.

X	LN(X)
1.0	0.0
+inf	+inf
X < 0	Error

Return Data Type

NUMERIC is not supported directly as an input. You must first explicitly cast NUMERIC input to FLOAT64. The output will be FLOAT64.

LOG

LOG(X [, Y])

Description

If only X is present, LOG is a synonym of LN. If Y is also present, LOG computes the logarithm of X to base Y.

X	Y	LOG(X, Y)
100.0	10.0	2.0
-inf	Any value	NaN
Any value	+inf	NaN
+inf	0.0 < Y < 1.0	-inf
+inf	Y > 1.0	+inf
X <= 0	Any value	Error
Any value	Y <= 0	Error
Any value	1.0	Error

Return Data Type

NUMERIC is not supported directly as an input. You must first explicitly cast NUMERIC input to FLOAT64. The output will be FLOAT64.

LOG10

LOG10(X)

Description

Similar to LOG, but computes logarithm to base 10.

X	LOG10(X)
100.0	2.0
-inf	NaN
+inf	NaN
X <= 0	Error

Return Data Type

NUMERIC is not supported directly as an input. You must first explicitly cast NUMERIC input to FLOAT64. The output will be FLOAT64.

GREATEST

GREATEST(X1,...,XN)

Description

Returns the largest value among X1,...,XN according to the < comparison. If any parts of X1,...,XN are NULL, the return value is NULL.

X1,...,XN	GREATEST(X1,...,XN)
3,5,1	5

Return Data Types

Data type of the input values.

LEAST

LEAST(X1,...,XN)

Description

Returns the smallest value among X1,...,XN according to the > comparison. If any parts of X1,...,XN are NULL, the return value is NULL.

X1,...,XN	LEAST(X1,...,XN)
3,5,1	1

Return Data Types

Data type of the input values.

DIV

DIV(X, Y)

Description

Returns the result of integer division of X by Y. Division by zero returns an error. Division by -1 may overflow. If both inputs are NUMERIC and the result is overflow, then it returns a numeric overflow error.

X	Y	DIV(X, Y)
20	4	5
0	20	0
20	0	Error

Return Data Type

The return data type is determined by the argument types with the following table.

INPUT	INT64	NUMERIC
INT64	INT64	NUMERIC
NUMERIC	NUMERIC	NUMERIC

SAFE_DIVIDE

SAFE_DIVIDE(X, Y)

Description

Equivalent to the division operator (X / Y), but returns NULL if an error occurs, such as a division by zero error.

X	Y	SAFE_DIVIDE(X, Y)
20	4	5
0	20	0
20	0	NULL

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
INT64	FLOAT64	NUMERIC	FLOAT64
NUMERIC	NUMERIC	NUMERIC	FLOAT64
FLOAT64	FLOAT64	FLOAT64	FLOAT64

SAFE_MULTIPLY

SAFE_MULTIPLY(X, Y)

Description

Equivalent to the multiplication operator (*), but returns NULL if overflow occurs.

X	Y	SAFE_MULTIPLY(X, Y)
20	4	80

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
INT64	INT64	NUMERIC	FLOAT64
NUMERIC	NUMERIC	NUMERIC	FLOAT64
FLOAT64	FLOAT64	FLOAT64	FLOAT64

SAFE_NEGATE

SAFE_NEGATE(X)

Description

Equivalent to the unary minus operator (-), but returns NULL if overflow occurs.

X	SAFE_NEGATE(X)
+1	-1
-1	+1
0	0

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	INT64	NUMERIC	FLOAT64

SAFE_ADD

SAFE_ADD(X, Y)

Description

Equivalent to the addition operator (+), but returns NULL if overflow occurs.

X	Y	SAFE_ADD(X, Y)
5	4	9

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
INT64	INT64	NUMERIC	FLOAT64
NUMERIC	NUMERIC	NUMERIC	FLOAT64
FLOAT64	FLOAT64	FLOAT64	FLOAT64

SAFE_SUBTRACT

SAFE_SUBTRACT(X, Y)

Description

Returns the result of Y subtracted from X. Equivalent to the subtraction operator (-), but returns NULL if overflow occurs.

X	Y	SAFE_SUBTRACT(X, Y)
5	4	1

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
INT64	INT64	NUMERIC	FLOAT64
NUMERIC	NUMERIC	NUMERIC	FLOAT64
FLOAT64	FLOAT64	FLOAT64	FLOAT64

MOD

MOD(X, Y)

Description

Modulo function: returns the remainder of the division of X by Y. Returned value has the same sign as X. An error is generated if Y is 0.

X	Y	MOD(X, Y)
25	12	1
25	0	Error

Return Data Type

The return data type is determined by the argument types with the following table.

INPUT	INT64	NUMERIC
INT64	INT64	NUMERIC
NUMERIC	NUMERIC	NUMERIC

ROUND

ROUND(X [, N])

Description

If only X is present, ROUND rounds X to the nearest integer. If N is present, ROUND rounds X to N decimal places after the decimal point. If N is negative, ROUND will round off digits to the left of the decimal point. Rounds halfway cases away from zero. Generates an error if overflow occurs.

X	ROUND(X)
2.0	2.0
2.3	2.0
2.8	3.0
2.5	3.0
-2.3	-2.0
-2.8	-3.0
-2.5	-3.0
0	0
+inf	+inf
-inf	-inf
NaN	NaN

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	FLOAT64

TRUNC

TRUNC(X [, N])

Description

If only X is present, TRUNC rounds X to the nearest integer whose absolute value is not greater than the absolute value of X. If N is also present, TRUNC behaves like ROUND(X, N), but always rounds towards zero and never overflows.

X	TRUNC(X)
2.0	2.0
2.3	2.0
2.8	2.0
2.5	2.0
-2.3	-2.0
-2.8	-2.0
-2.5	-2.0
0	0
+inf	+inf
-inf	-inf
NaN	NaN

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	FLOAT64

CEIL

CEIL(X)

Description

Returns the smallest integral value that is not less than X.

X	CEIL(X)
2.0	2.0
2.3	3.0
2.8	3.0
2.5	3.0
-2.3	-2.0
-2.8	-2.0
-2.5	-2.0
0	0
+inf	+inf
-inf	-inf
NaN	NaN

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	FLOAT64

CEILING

CEILING(X)

Description

Synonym of CEIL(X)

FLOOR

FLOOR(X)

Description

Returns the largest integral value that is not greater than X.

X	FLOOR(X)
2.0	2.0
2.3	2.0
2.8	2.0
2.5	2.0
-2.3	-3.0
-2.8	-3.0
-2.5	-3.0
0	0
+inf	+inf
-inf	-inf
NaN	NaN

Return Data Type

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	FLOAT64

COS

COS(X)

Description

Computes the cosine of X where X is specified in radians. Never fails.

X	COS(X)
+inf	NaN
-inf	NaN
NaN	NaN

COSH

COSH(X)

Description

Computes the hyperbolic cosine of X where X is specified in radians. Generates an error if overflow occurs.

If X is NUMERIC then, the output is FLOAT64.

X	COSH(X)
+inf	+inf
-inf	+inf
NaN	NaN

ACOS

ACOS(X)

Description

Computes the principal value of the inverse cosine of X. The return value is in the range [0,π]. Generates an error if X is a value outside of the range [-1, 1].

If X is NUMERIC then, the output is FLOAT64.

X	ACOS(X)
+inf	NaN
-inf	NaN
NaN	NaN
X < -1	Error
X > 1	Error

ACOSH

ACOSH(X)

Description

Computes the inverse hyperbolic cosine of X. Generates an error if X is a value less than 1.

If X is NUMERIC then, the output is FLOAT64.

X	ACOSH(X)
+inf	+inf
-inf	NaN
NaN	NaN
X < 1	Error

SIN

SIN(X)

Description

Computes the sine of X where X is specified in radians. Never fails.

X	SIN(X)
+inf	NaN
-inf	NaN
NaN	NaN

SINH

SINH(X)

Description

Computes the hyperbolic sine of X where X is specified in radians. Generates an error if overflow occurs.

If X is NUMERIC then, the output is FLOAT64.

X	SINH(X)
+inf	+inf
-inf	-inf
NaN	NaN

ASIN

ASIN(X)

Description

Computes the principal value of the inverse sine of X. The return value is in the range [-π/2,π/2]. Generates an error if X is outside of the range [-1, 1].

If X is NUMERIC then, the output is FLOAT64.

X	ASIN(X)
+inf	NaN
-inf	NaN
NaN	NaN
X < -1	Error
X > 1	Error

ASINH

ASINH(X)

Description

Computes the inverse hyperbolic sine of X. Does not fail.

If X is NUMERIC then, the output is FLOAT64.

X	ASINH(X)
+inf	+inf
-inf	-inf
NaN	NaN

TAN

TAN(X)

Description

Computes the tangent of X where X is specified in radians. Generates an error if overflow occurs.

X	TAN(X)
+inf	NaN
-inf	NaN
NaN	NaN

TANH

TANH(X)

Description

Computes the hyperbolic tangent of X where X is specified in radians. Does not fail.

If X is NUMERIC then, the output is FLOAT64.

X	TANH(X)
+inf	1.0
-inf	-1.0
NaN	NaN

ATAN

ATAN(X)

Description

Computes the principal value of the inverse tangent of X. The return value is in the range [-π/2,π/2]. Does not fail.

If X is NUMERIC then, the output is FLOAT64.

X	ATAN(X)
+inf	π/2
-inf	-π/2
NaN	NaN

ATANH

ATANH(X)

Description

Computes the inverse hyperbolic tangent of X. Generates an error if X is outside of the range [-1, 1].

If X is NUMERIC then, the output is FLOAT64.

X	ATANH(X)
+inf	NaN
-inf	NaN
NaN	NaN
X < -1	Error
X > 1	Error

ATAN2

ATAN2(X, Y)

Description

Calculates the principal value of the inverse tangent of X/Y using the signs of the two arguments to determine the quadrant. The return value is in the range [-π,π].

If Y is NUMERIC then, the output is FLOAT64.

X	Y	ATAN2(X, Y)
NaN	Any value	NaN
Any value	NaN	NaN
0.0	0.0	0.0
Positive Finite value	-inf	π
Negative Finite value	-inf	-π
Finite value	+inf	0.0
+inf	Finite value	π/2
-inf	Finite value	-π/2
+inf	-inf	¾π
-inf	-inf	-¾π
+inf	+inf	π/4
-inf	+inf	-π/4

Hash functions

FARM_FINGERPRINT

FARM_FINGERPRINT(value)

Description

Computes the fingerprint of the STRING or BYTES input using the Fingerprint64 function from the open-source FarmHash library. The output of this function for a particular input will never change.

Return type

INT64

Examples

WITH example AS (
  SELECT 1 AS x, "foo" AS y, true AS z UNION ALL
  SELECT 2 AS x, "apple" AS y, false AS z UNION ALL
  SELECT 3 AS x, "" AS y, true AS z
)
SELECT
  *,
  FARM_FINGERPRINT(CONCAT(CAST(x AS STRING), y, CAST(z AS STRING)))
    AS row_fingerprint
FROM example;
+---+-------+-------+----------------------+
| x | y     | z     | row_fingerprint      |
+---+-------+-------+----------------------+
| 1 | foo   | true  | -1541654101129638711 |
| 2 | apple | false | 2794438866806483259  |
| 3 |       | true  | -4880158226897771312 |
+---+-------+-------+----------------------+

SHA1

SHA1(input)

Description

Computes the hash of the input using the SHA-1 algorithm. The input can either be STRING or BYTES. The string version treats the input as an array of bytes.

This function returns 20 bytes.

Return type

BYTES

Example

SELECT SHA1("Hello World") as sha1;

-- Note that the result of SHA1 is of type BYTES, displayed as a base64-encoded string.
+------------------------------+
| sha1                         |
+------------------------------+
| Ck1VqNd45QIvq3AZd8XYQLvEhtA= |
+------------------------------+

SHA256

SHA256(input)

Description

Computes the hash of the input using the SHA-256 algorithm. The input can either be STRING or BYTES. The string version treats the input as an array of bytes.

This function returns 32 bytes.

Return type

BYTES

Example

SELECT SHA256("Hello World") as sha256;

SHA512

SHA512(input)

Description

Computes the hash of the input using the SHA-512 algorithm. The input can either be STRING or BYTES. The string version treats the input as an array of bytes.

This function returns 64 bytes.

Return type

BYTES

Example

SELECT SHA512("Hello World") as sha512;

String functions

These string functions work on two different values: STRING and BYTES data types. STRING values must be well-formed UTF-8.

Functions that return position values, such as STRPOS, encode those positions as INT64. The value 1 refers to the first character (or byte), 2 refers to the second, and so on. The value 0 indicates an invalid index. When working on STRING types, the returned positions refer to character positions.

All string comparisons are done byte-by-byte, without regard to Unicode canonical equivalence.

BYTE_LENGTH

BYTE_LENGTH(value)

Description

Returns the length of the STRING or BYTES value in BYTES, regardless of whether the type of the value is STRING or BYTES.

Return type

INT64

Examples

WITH example AS
  (SELECT "абвгд" AS characters, b"абвгд" AS bytes)

SELECT
  characters,
  BYTE_LENGTH(characters) AS string_example,
  bytes,
  BYTE_LENGTH(bytes) AS bytes_example
FROM example;

+------------+----------------+-------+---------------+
| characters | string_example | bytes | bytes_example |
+------------+----------------+-------+---------------+
| абвгд      | 10             | абвгд | 10            |
+------------+----------------+-------+---------------+

CHAR_LENGTH

CHAR_LENGTH(value)

Description

Returns the length of the STRING in characters.

Return type

INT64

Examples

WITH example AS
  (SELECT "абвгд" AS characters)

SELECT
  characters,
  CHAR_LENGTH(characters) AS char_length_example
FROM example;

+------------+---------------------+
| characters | char_length_example |
+------------+---------------------+
| абвгд      |                   5 |
+------------+---------------------+

CHARACTER_LENGTH

CHARACTER_LENGTH(value)

Description

Synonym for CHAR_LENGTH.

Return type

INT64

Examples

WITH example AS
  (SELECT "абвгд" AS characters)

SELECT
  characters,
  CHARACTER_LENGTH(characters) AS char_length_example
FROM example;

+------------+---------------------+
| characters | char_length_example |
+------------+---------------------+
| абвгд      |                   5 |
+------------+---------------------+

CODE_POINTS_TO_BYTES

CODE_POINTS_TO_BYTES(ascii_values)

Description

Takes an array of extended ASCII code points (ARRAY of INT64) and returns BYTES.

To convert from BYTES to an array of code points, see TO_CODE_POINTS.

Return type

BYTES

Examples

The following is a basic example using CODE_POINTS_TO_BYTES.

SELECT CODE_POINTS_TO_BYTES([65, 98, 67, 100]) AS bytes;

-- Note that the result of CODE_POINTS_TO_BYTES is of type BYTES, displayed as a base64-encoded string.
-- In BYTES format, b'AbCd' is the result.
+----------+
| bytes    |
+----------+
| QWJDZA== |
+----------+

The following example uses a rotate-by-13 places (ROT13) algorithm to encode a string.

SELECT CODE_POINTS_TO_BYTES(ARRAY(
  (SELECT
      CASE
        WHEN chr BETWEEN b'a' AND b'z'
          THEN TO_CODE_POINTS(b'a')[offset(0)] +
            MOD(code + 13 - TO_CODE_POINTS(b'a')[offset(0)],26)
        WHEN chr BETWEEN b'A' AND b'Z'
          THEN TO_CODE_POINTS(b'A')[offset(0)] +
            MOD(code + 13 - TO_CODE_POINTS(b'A')[offset(0)],26)
        ELSE code
      END
   FROM
     (SELECT code, CODE_POINTS_TO_BYTES(ARRAY[code]) AS chr
      FROM UNNEST(TO_CODE_POINTS(input)) AS code WITH OFFSET
      ORDER BY OFFSET)
   ))) AS encoded_string
FROM UNNEST(ARRAY['Test String!']) AS input;

-- Note that the result of CODE_POINTS_TO_BYTES is of type BYTES, displayed as a base64-encoded string.
-- In BYTES format, b'Grfg Fgevat!' is the result.
+------------------+
| encoded_string   |
+------------------+
| R3JmZyBGZ2V2YXQh |
+------------------+

CODE_POINTS_TO_STRING

CODE_POINTS_TO_STRING(value)

Description

Takes an array of Unicode code points (ARRAY of INT64) and returns a STRING. If a code point is 0, does not return a character for it in the STRING.

To convert from a string to an array of code points, see TO_CODE_POINTS.

Return type

STRING

Examples

The following are basic examples using CODE_POINTS_TO_STRING.

SELECT CODE_POINTS_TO_STRING([65, 255, 513, 1024]) AS string;

+--------+
| string |
+--------+
| AÿȁЀ   |
+--------+

SELECT CODE_POINTS_TO_STRING([97, 0, 0xF9B5]) AS string;

+--------+
| string |
+--------+
| a例    |
+--------+

SELECT CODE_POINTS_TO_STRING([65, 255, NULL, 1024]) AS string;

+--------+
| string |
+--------+
| NULL   |
+--------+

The following example computes the frequency of letters in a set of words.

WITH Words AS (
  SELECT word
  FROM UNNEST(['foo', 'bar', 'baz', 'giraffe', 'llama']) AS word
)
SELECT
  CODE_POINTS_TO_STRING([code_point]) AS letter,
  COUNT(*) AS letter_count
FROM Words,
  UNNEST(TO_CODE_POINTS(word)) AS code_point
GROUP BY 1
ORDER BY 2 DESC;

+--------+--------------+
| letter | letter_count |
+--------+--------------+
| a      | 5            |
| f      | 3            |
| r      | 2            |
| b      | 2            |
| l      | 2            |
| o      | 2            |
| g      | 1            |
| z      | 1            |
| e      | 1            |
| m      | 1            |
| i      | 1            |
+--------+--------------+

CONCAT

CONCAT(value1[, ...])

Description

Concatenates one or more STRING or BYTE values into a single result.

The function returns NULL if any input argument is NULL.

Note: You can also use the || concatenation operator to concatenate values into a string.

Return type

STRING or BYTES

Examples

SELECT CONCAT("T.P.", " ", "Bar") as author;

+---------------------+
| author              |
+---------------------+
| T.P. Bar            |
+---------------------+

With Employees AS
  (SELECT
    "John" AS first_name,
    "Doe" AS last_name
  UNION ALL
  SELECT
    "Jane" AS first_name,
    "Smith" AS last_name
  UNION ALL
  SELECT
    "Joe" AS first_name,
    "Jackson" AS last_name)

SELECT
  CONCAT(first_name, " ", last_name)
  AS full_name
FROM Employees;

+---------------------+
| full_name           |
+---------------------+
| John Doe            |
| Jane Smith          |
| Joe Jackson         |
+---------------------+

ENDS_WITH

ENDS_WITH(value1, value2)

Description

Takes two STRING or BYTES values. Returns TRUE if the second value is a suffix of the first.

Return type

BOOL

Examples

WITH items AS
  (SELECT "apple" as item
  UNION ALL
  SELECT "banana" as item
  UNION ALL
  SELECT "orange" as item)

SELECT
  ENDS_WITH(item, "e") as example
FROM items;

+---------+
| example |
+---------+
|    True |
|   False |
|    True |
+---------+

FORMAT

Cloud Spanner SQL supports a FORMAT() function for formatting strings. This function is similar to the C printf function. It produces a STRING from a format string that contains zero or more format specifiers, along with a variable length list of additional arguments that matches the format specifiers. Here are some examples:

Description	Statement	Result
Simple integer	FORMAT("%d", 10)	10
Integer with left blank padding	FORMAT("|%10d|", 11)	|           11|
Integer with left zero padding	FORMAT("+%010d+", 12)	+0000000012+
Integer with commas	FORMAT("%'d", 123456789)	123,456,789
STRING	FORMAT("-%s-", 'abcd efg')	-abcd efg-
FLOAT64	FORMAT("%f %E", 1.1, 2.2)	1.100000 2.200000E+00
DATE	FORMAT("%t", date "2015-09-01")	2015-09-01
TIMESTAMP	FORMAT("%t", timestamp "2015-09-01 12:34:56 America/Los_Angeles")	2015‑09‑01 19:34:56+00

The FORMAT() function does not provide fully customizable formatting for all types and values, nor formatting that is sensitive to locale.

If custom formatting is necessary for a type, you must first format it using type-specific format functions, such as FORMAT_DATE() or FORMAT_TIMESTAMP(). For example:

SELECT FORMAT("date: %s!", FORMAT_DATE("%B %d, %Y", date '2015-01-02'));

Returns

date: January 02, 2015!

Syntax

The FORMAT() syntax takes a format string and variable length list of arguments and produces a STRING result:

FORMAT(format_string, ...)

The format_string expression can contain zero or more format specifiers. Each format specifier is introduced by the % symbol, and must map to one or more of the remaining arguments. For the most part, this is a one-to-one mapping, except when the * specifier is present. For example, %.*i maps to two arguments—a length argument and a signed integer argument. If the number of arguments related to the format specifiers is not the same as the number of arguments, an error occurs.

Supported format specifiers

The FORMAT() function format specifier follows this prototype:

%[flags][width][.precision]specifier

The supported format specifiers are identified in the following table. Deviations from printf() are identified in italics.

Specifier	Description	Examples	Types
d or i	Decimal integer	392	INT64
o	Octal	610	INT64*
x	Hexadecimal integer	7fa	INT64*
X	Hexadecimal integer (uppercase)	7FA	INT64*
f	Decimal notation, in [-](integer part).(fractional part) for finite values, and in lowercase for non-finite values	392.650000 inf nan	NUMERIC FLOAT64
F	Decimal notation, in [-](integer part).(fractional part) for finite values, and in uppercase for non-finite values	392.650000 INF NAN	NUMERIC FLOAT64
e	Scientific notation (mantissa/exponent), lowercase	3.926500e+02 inf nan	NUMERIC FLOAT64
E	Scientific notation (mantissa/exponent), uppercase	3.926500E+02 INF NAN	NUMERIC FLOAT64
g	Either decimal notation or scientific notation, depending on the input value's exponent and the specified precision. Lowercase. See %g and %G behavior for details.	392.65 3.9265e+07 inf nan	NUMERIC FLOAT64
G	Either decimal notation or scientific notation, depending on the input value's exponent and the specified precision. Uppercase. See %g and %G behavior for details.	392.65 3.9265E+07 INF NAN	NUMERIC FLOAT64
s	String of characters	sample	STRING
t	Returns a printable string representing the value. Often looks similar to casting the argument to STRING. See %t and %T behavior.	sample 2014‑01‑01	<any>
T	Produces a string that is a valid Cloud Spanner SQL constant with a similar type to the value's type (maybe wider, or maybe string). See %t and %T behavior.	'sample' b'bytes sample' 1234 2.3 date '2014‑01‑01'	<any>
%	'%%' produces a single '%'	%	n/a

^*The specifiers %o, %x, and %X raise an error if negative values are used.

The format specifier can optionally contain the sub-specifiers identified above in the specifier prototype.

These sub-specifiers must comply with the following specifications.

Flags

Flags	Description
-	Left-justify within the given field width; Right justification is the default (see width sub-specifier)
+	Forces to precede the result with a plus or minus sign (+ or -) even for positive numbers. By default, only negative numbers are preceded with a - sign
<space>	If no sign is going to be written, a blank space is inserted before the value
#	For `%o`, `%x`, and `%X`, this flag means to precede the value with 0, 0x or 0X respectively for values different than zero. For `%f`, `%F`, `%e`, and `%E`, this flag means to add the decimal point even when there is no fractional part, unless the value is non-finite. For `%g` and `%G`, this flag means to add the decimal point even when there is no fractional part unless the value is non-finite, and never remove the trailing zeros after the decimal point.
0	Left-pads the number with zeroes (0) instead of spaces when padding is specified (see width sub-specifier)
'	Formats integers using the appropriating grouping character. For example: FORMAT("%'d", 12345678) returns 12,345,678 FORMAT("%'x", 12345678) returns bc:614e FORMAT("%'o", 55555) returns 15,4403 This flag is only relevant for decimal, hex, and octal values.

Flags may be specified in any order. Duplicate flags are not an error. When flags are not relevant for some element type, they are ignored.

Width

Width	Description
<number>	Minimum number of characters to be printed. If the value to be printed is shorter than this number, the result is padded with blank spaces. The value is not truncated even if the result is larger
*	The width is not specified in the format string, but as an additional integer value argument preceding the argument that has to be formatted

Precision

Precision	Description
.<number>	For integer specifiers `%d`, `%i`, `%o`, `%u`, `%x`, and `%X`: precision specifies the minimum number of digits to be written. If the value to be written is shorter than this number, the result is padded with trailing zeros. The value is not truncated even if the result is longer. A precision of 0 means that no character is written for the value 0. For specifiers `%a`, `%A`, `%e`, `%E`, `%f`, and `%F`: this is the number of digits to be printed after the decimal point. The default value is 6. For specifiers `%g` and `%G`: this is the number of significant digits to be printed, before the removal of the trailing zeros after the decimal point. The default value is 6.
.*	The precision is not specified in the format string, but as an additional integer value argument preceding the argument that has to be formatted

%g and %G behavior

The %g and %G format specifiers choose either the decimal notation (like the %f and %F specifiers) or the scientific notation (like the %e and %E specifiers), depending on the input value's exponent and the specified precision.

Let p stand for the specified precision (defaults to 6; 1 if the specified precision is less than 1). The input value is first converted to scientific notation with precision = (p - 1). If the resulting exponent part x is less than -4 or no less than p, the scientific notation with precision = (p - 1) is used; otherwise the decimal notation with precision = (p - 1 - x) is used.

Unless # flag is present, the trailing zeros after the decimal point are removed, and the decimal point is also removed if there is no digit after it.

%t and %T behavior

The %t and %T format specifiers are defined for all types. The width, precision, and flags act as they do for %s: the width is the minimum width and the STRING will be padded to that size, and precision is the maximum width of content to show and the STRING will be truncated to that size, prior to padding to width.

The %t specifier is always meant to be a readable form of the value.

The %T specifier is always a valid SQL literal of a similar type, such as a wider numeric type. The literal will not include casts or a type name, except for the special case of non-finite floating point values.

The STRING is formatted as follows:

Type	%t	%T
NULL of any type	NULL	NULL
INT64	123	123
NUMERIC	123.0 (always with .0)	NUMERIC "123.0"
FLOAT64	123.0 (always with .0) 123e+10 inf -inf NaN	123.0 (always with .0) 123e+10 CAST("inf" AS <type>) CAST("-inf" AS <type>) CAST("nan" AS <type>)
STRING	unquoted string value	quoted string literal
BYTES	unquoted escaped bytes e.g. abc\x01\x02	quoted bytes literal e.g. b"abc\x01\x02"
DATE	2011-02-03	DATE "2011-02-03"
TIMESTAMP	2011-02-03 04:05:06+00	TIMESTAMP "2011-02-03 04:05:06+00"
ARRAY	[value, value, ...] where values are formatted with %t	[value, value, ...] where values are formatted with %T

Error conditions

If a format specifier is invalid, or is not compatible with the related argument type, or the wrong number or arguments are provided, then an error is produced. For example, the following <format_string> expressions are invalid:

FORMAT('%s', 1)

FORMAT('%')

NULL argument handling

A NULL format string results in a NULL output STRING. Any other arguments are ignored in this case.

The function generally produces a NULL value if a NULL argument is present. For example, FORMAT('%i', NULL_expression) produces a NULL STRING as output.

However, there are some exceptions: if the format specifier is %t or %T (both of which produce STRINGs that effectively match CAST and literal value semantics), a NULL value produces 'NULL' (without the quotes) in the result STRING. For example, the function:

FORMAT('00-%t-00', NULL_expression);

Returns

00-NULL-00

Additional semantic rules

FLOAT64 values can be +/-inf or NaN. When an argument has one of those values, the result of the format specifiers %f, %F, %e, %E, %g, %G, and %t are inf, -inf, or nan (or the same in uppercase) as appropriate. This is consistent with how Cloud Spanner SQL casts these values to STRING. For %T, Cloud Spanner SQL returns quoted strings for FLOAT64 values that don't have non-string literal representations.

FROM_BASE32

FROM_BASE32(string_expr)

Description

Converts the base32-encoded input string_expr into BYTES format. To convert BYTES to a base32-encoded STRING, use TO_BASE32.

Return type

BYTES

Example

SELECT FROM_BASE32('MFRGGZDF74======') AS byte_data;

-- Note that the result of FROM_BASE32 is of type BYTES, displayed as a base64-encoded string.
+-----------+
| byte_data |
+-----------+
| YWJjZGX/  |
+-----------+

FROM_BASE64

FROM_BASE64(string_expr)

Description

Converts the base64-encoded input string_expr into BYTES format. To convert BYTES to a base64-encoded STRING, use TO_BASE64.

There are several base64 encodings in common use that vary in exactly which alphabet of 65 ASCII characters are used to encode the 64 digits and padding. See RFC 4648 for details. This function expects the alphabet [A-Za-z0-9+/=].

Return type

BYTES

Example

SELECT FROM_BASE64('/+A=') AS byte_data;

-- Note that the result of FROM_BASE64 is of type BYTES, displayed as a base64-encoded string.
+-----------+
| byte_data |
+-----------+
| /+A=      |
+-----------+

To work with an encoding using a different base64 alphabet, you might need to compose FROM_BASE64 with the REPLACE function. For instance, the base64url url-safe and filename-safe encoding commonly used in web programming uses -_= as the last characters rather than +/=. To decode a base64url-encoded string, replace + and / with - and _ respectively.

SELECT FROM_BASE64(REPLACE(REPLACE("_-A=", "-", "+"), "_", "/")) AS binary;

-- Note that the result of FROM_BASE64 is of type BYTES, displayed as a base64-encoded string.
+--------+
| binary |
+--------+
| /+A=   |
+--------+

FROM_HEX

FROM_HEX(string)

Description

Converts a hexadecimal-encoded STRING into BYTES format. Returns an error if the input STRING contains characters outside the range (0..9, A..F, a..f). The lettercase of the characters does not matter. If the input STRING has an odd number of characters, the function acts as if the input has an additional leading 0. To convert BYTES to a hexadecimal-encoded STRING, use TO_HEX.

Return type

BYTES

Example

WITH Input AS (
  SELECT '00010203aaeeefff' AS hex_str UNION ALL
  SELECT '0AF' UNION ALL
  SELECT '666f6f626172'
)
SELECT hex_str, FROM_HEX(hex_str) AS bytes_str
FROM Input;

-- Note that the result of FROM_HEX is of type BYTES, displayed as a base64-encoded string.
+------------------+--------------+
| hex_str          | bytes_str    |
+------------------+--------------+
| 0AF              | AAECA6ru7/8= |
| 00010203aaeeefff | AK8=         |
| 666f6f626172     | Zm9vYmFy     |
+------------------+--------------+

LENGTH

LENGTH(value)

Description

Returns the length of the STRING or BYTES value. The returned value is in characters for STRING arguments and in bytes for the BYTES argument.

Return type

INT64

Examples

WITH example AS
  (SELECT "абвгд" AS characters)

SELECT
  characters,
  LENGTH(characters) AS string_example,
  LENGTH(CAST(characters AS BYTES)) AS bytes_example
FROM example;

+------------+----------------+---------------+
| characters | string_example | bytes_example |
+------------+----------------+---------------+
| абвгд      |              5 |            10 |
+------------+----------------+---------------+

LPAD

LPAD(original_value, return_length[, pattern])

Description

Returns a STRING or BYTES value that consists of original_value prepended with pattern. The return_length is an INT64 that specifies the length of the returned value. If original_value is of type BYTES, return_length is the number of bytes. If original_value is of type STRING, return_length is the number of characters.

The default value of pattern is a blank space.

Both original_value and pattern must be the same data type.

If return_length is less than or equal to the original_value length, this function returns the original_value value, truncated to the value of return_length. For example, LPAD("hello world", 7); returns "hello w".

If original_value, return_length, or pattern is NULL, this function returns NULL.

This function returns an error if:

• return_length is negative
• pattern is empty

Return type

STRING or BYTES

Examples

SELECT t, len, FORMAT("%T", LPAD(t, len)) AS LPAD FROM UNNEST([
  STRUCT('abc' AS t, 5 AS len),
  ('abc', 2),
  ('例子', 4)
]);

+------+-----+----------+
| t    | len | LPAD     |
|------|-----|----------|
| abc  | 5   | "  abc"  |
| abc  | 2   | "ab"     |
| 例子  | 4   | "  例子" |
+------+-----+----------+

SELECT t, len, pattern, FORMAT("%T", LPAD(t, len, pattern)) AS LPAD FROM UNNEST([
  STRUCT('abc' AS t, 8 AS len, 'def' AS pattern),
  ('abc', 5, '-'),
  ('例子', 5, '中文')
]);

+------+-----+---------+--------------+
| t    | len | pattern | LPAD         |
|------|-----|---------|--------------|
| abc  | 8   | def     | "defdeabc"   |
| abc  | 5   | -       | "--abc"      |
| 例子  | 5   | 中文    | "中文中例子"   |
+------+-----+---------+--------------+

SELECT FORMAT("%T", t) AS t, len, FORMAT("%T", LPAD(t, len)) AS LPAD FROM UNNEST([
  STRUCT(b'abc' AS t, 5 AS len),
  (b'abc', 2),
  (b'\xab\xcd\xef', 4)
]);

+-----------------+-----+------------------+
| t               | len | LPAD             |
|-----------------|-----|------------------|
| b"abc"          | 5   | b"  abc"         |
| b"abc"          | 2   | b"ab"            |
| b"\xab\xcd\xef" | 4   | b" \xab\xcd\xef" |
+-----------------+-----+------------------+

SELECT
  FORMAT("%T", t) AS t,
  len,
  FORMAT("%T", pattern) AS pattern,
  FORMAT("%T", LPAD(t, len, pattern)) AS LPAD
FROM UNNEST([
  STRUCT(b'abc' AS t, 8 AS len, b'def' AS pattern),
  (b'abc', 5, b'-'),
  (b'\xab\xcd\xef', 5, b'\x00')
]);

+-----------------+-----+---------+-------------------------+
| t               | len | pattern | LPAD                    |
|-----------------|-----|---------|-------------------------|
| b"abc"          | 8   | b"def"  | b"defdeabc"             |
| b"abc"          | 5   | b"-"    | b"--abc"                |
| b"\xab\xcd\xef" | 5   | b"\x00" | b"\x00\x00\xab\xcd\xef" |
+-----------------+-----+---------+-------------------------+

LOWER

LOWER(value)

Description

For STRING arguments, returns the original string with all alphabetic characters in lowercase. Mapping between lowercase and uppercase is done according to the Unicode Character Database without taking into account language-specific mappings.

For BYTES arguments, the argument is treated as ASCII text, with all bytes greater than 127 left intact.

Return type

STRING or BYTES

Examples

WITH items AS
  (SELECT
    "FOO" as item
  UNION ALL
  SELECT
    "BAR" as item
  UNION ALL
  SELECT
    "BAZ" as item)

SELECT
  LOWER(item) AS example
FROM items;

+---------+
| example |
+---------+
| foo     |
| bar     |
| baz     |
+---------+

LTRIM

LTRIM(value1[, value2])

Description

Identical to TRIM, but only removes leading characters.

Return type

STRING or BYTES

Examples

WITH items AS
  (SELECT "   apple   " as item
  UNION ALL
  SELECT "   banana   " as item
  UNION ALL
  SELECT "   orange   " as item)

SELECT
  CONCAT("#", LTRIM(item), "#") as example
FROM items;

+-------------+
| example     |
+-------------+
| #apple   #  |
| #banana   # |
| #orange   # |
+-------------+

WITH items AS
  (SELECT "***apple***" as item
  UNION ALL
  SELECT "***banana***" as item
  UNION ALL
  SELECT "***orange***" as item)

SELECT
  LTRIM(item, "*") as example
FROM items;

+-----------+
| example   |
+-----------+
| apple***  |
| banana*** |
| orange*** |
+-----------+

WITH items AS
  (SELECT "xxxapplexxx" as item
  UNION ALL
  SELECT "yyybananayyy" as item
  UNION ALL
  SELECT "zzzorangezzz" as item
  UNION ALL
  SELECT "xyzpearxyz" as item)

SELECT
  LTRIM(item, "xyz") as example
FROM items;

+-----------+
| example   |
+-----------+
| applexxx  |
| bananayyy |
| orangezzz |
| pearxyz   |
+-----------+

NORMALIZE

NORMALIZE(value[, normalization_mode])

Description

Takes a string value and returns it as a normalized string.

Normalization is used to ensure that two strings are equivalent. Normalization is often used in situations in which two strings render the same on the screen but have different Unicode code points.

NORMALIZE supports four optional normalization modes:

Value	Name	Description
NFC	Normalization Form Canonical Composition	Decomposes and recomposes characters by canonical equivalence.
NFKC	Normalization Form Compatibility Composition	Decomposes characters by compatibility, then recomposes them by canonical equivalence.
NFD	Normalization Form Canonical Decomposition	Decomposes characters by canonical equivalence, and multiple combining characters are arranged in a specific order.
NFKD	Normalization Form Compatibility Decomposition	Decomposes characters by compatibility, and multiple combining characters are arranged in a specific order.

The default normalization mode is NFC.

Return type

STRING

Examples

SELECT a, b, a = b as normalized
FROM (SELECT NORMALIZE('\u00ea') as a, NORMALIZE('\u0065\u0302') as b)
AS normalize_example;

+---+---+------------+
| a | b | normalized |
+---+---+------------+
| ê | ê | true       |
+---+---+------------+

The following example normalizes different space characters.

WITH EquivalentNames AS (
  SELECT name
  FROM UNNEST([
      'Jane\u2004Doe',
      'John\u2004Smith',
      'Jane\u2005Doe',
      'Jane\u2006Doe',
      'John Smith']) AS name
)
SELECT
  NORMALIZE(name, NFKC) AS normalized_name,
  COUNT(*) AS name_count
FROM EquivalentNames
GROUP BY 1;

+-----------------+------------+
| normalized_name | name_count |
+-----------------+------------+
| John Smith      | 2          |
| Jane Doe        | 3          |
+-----------------+------------+

NORMALIZE_AND_CASEFOLD

NORMALIZE_AND_CASEFOLD(value[, normalization_mode])

Description

Takes a STRING, value, and performs the same actions as NORMALIZE, as well as casefolding for case-insensitive operations.

NORMALIZE_AND_CASEFOLD supports four optional normalization modes:

Value	Name	Description
NFC	Normalization Form Canonical Composition	Decomposes and recomposes characters by canonical equivalence.
NFKC	Normalization Form Compatibility Composition	Decomposes characters by compatibility, then recomposes them by canonical equivalence.
NFD	Normalization Form Canonical Decomposition	Decomposes characters by canonical equivalence, and multiple combining characters are arranged in a specific order.
NFKD	Normalization Form Compatibility Decomposition	Decomposes characters by compatibility, and multiple combining characters are arranged in a specific order.

The default normalization mode is NFC.

Return type

STRING

Example

WITH Strings AS (
  SELECT '\u2168' AS a, 'IX' AS b UNION ALL
  SELECT '\u0041\u030A', '\u00C5'
)
SELECT a, b,
  NORMALIZE_AND_CASEFOLD(a, NFD)=NORMALIZE_AND_CASEFOLD(b, NFD) AS nfd,
  NORMALIZE_AND_CASEFOLD(a, NFC)=NORMALIZE_AND_CASEFOLD(b, NFC) AS nfc,
  NORMALIZE_AND_CASEFOLD(a, NFKD)=NORMALIZE_AND_CASEFOLD(b, NFKD) AS nkfd,
  NORMALIZE_AND_CASEFOLD(a, NFKC)=NORMALIZE_AND_CASEFOLD(b, NFKC) AS nkfc
FROM Strings;

+---+----+-------+-------+------+------+
| a | b  | nfd   | nfc   | nkfd | nkfc |
+---+----+-------+-------+------+------+
| Ⅸ | IX | false | false | true | true |
| Å | Å  | true  | true  | true | true |
+---+----+-------+-------+------+------+

REGEXP_CONTAINS

REGEXP_CONTAINS(value, regexp)

Description

Returns TRUE if value is a partial match for the regular expression, regexp.

If the regexp argument is invalid, the function returns an error.

You can search for a full match by using ^ (beginning of text) and $ (end of text). Due to regular expression operator precedence, it is good practice to use parentheses around everything between ^ and $.

Note: Cloud Spanner SQL provides regular expression support using the re2 library; see that documentation for its regular expression syntax.

Return type

BOOL

Examples

SELECT
  email,
  REGEXP_CONTAINS(email, r"@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+") AS is_valid
FROM
  (SELECT
    ["[e-mail]", "[e-mail]", "www.example.net"]
    AS addresses),
  UNNEST(addresses) AS email;

+-----------------+----------+
| email           | is_valid |
+-----------------+----------+
| [e-mail] | true     |
| [e-mail] | true     |
| www.example.net | false    |
+-----------------+----------+

# Performs a full match, using ^ and $. Due to regular expression operator
# precedence, it is good practice to use parentheses around everything between ^
# and $.
SELECT
  email,
  REGEXP_CONTAINS(email, r"^([\w.+-]+@foo\.com|[\w.+-]+@bar\.org)$")
    AS valid_email_address,
  REGEXP_CONTAINS(email, r"^[\w.+-]+@foo\.com|[\w.+-]+@bar\.org$")
    AS without_parentheses
FROM
  (SELECT
    ["[e-mail]", "[e-mail]", "[e-mail]", "![e-mail]", "[e-mail]"]
    AS addresses),
  UNNEST(addresses) AS email;

+----------------+---------------------+---------------------+
| email          | valid_email_address | without_parentheses |
+----------------+---------------------+---------------------+
| [e-mail]      | true                | true                |
| [e-mail] | false               | true                |
| [e-mail]      | true                | true                |
| ![e-mail]     | false               | true                |
| [e-mail]      | false               | false               |
+----------------+---------------------+---------------------+

REGEXP_EXTRACT

REGEXP_EXTRACT(value, regexp)

Description

Returns the first substring in value that matches the regular expression, regexp. Returns NULL if there is no match.

If the regular expression contains a capturing group, the function returns the substring that is matched by that capturing group. If the expression does not contain a capturing group, the function returns the entire matching substring.

Returns an error if:

• The regular expression is invalid
• The regular expression has more than one capturing group

Note: Cloud Spanner SQL provides regular expression support using the re2 library; see that documentation for its regular expression syntax.

Return type

STRING or BYTES

Examples

WITH email_addresses AS
  (SELECT "[e-mail]" as email
  UNION ALL
  SELECT "[e-mail]" as email
  UNION ALL
  SELECT "[e-mail]" as email)

SELECT
  REGEXP_EXTRACT(email, r"^[a-zA-Z0-9_.+-]+")
  AS user_name
FROM email_addresses;

+-----------+
| user_name |
+-----------+
| foo       |
| bar       |
| baz       |
+-----------+

WITH email_addresses AS
  (SELECT "[e-mail]" as email
  UNION ALL
  SELECT "[e-mail]" as email
  UNION ALL
  SELECT "[e-mail]" as email)

SELECT
  REGEXP_EXTRACT(email, r"^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.([a-zA-Z0-9-.]+$)")
  AS top_level_domain
FROM email_addresses;

+------------------+
| top_level_domain |
+------------------+
| com              |
| org              |
| net              |
+------------------+

REGEXP_EXTRACT_ALL

REGEXP_EXTRACT_ALL(value, regexp)

Description

Returns an array of all substrings of value that match the regular expression, regexp.

The REGEXP_EXTRACT_ALL function only returns non-overlapping matches. For example, using this function to extract ana from banana returns only one substring, not two.

Note: Cloud Spanner SQL provides regular expression support using the re2 library; see that documentation for its regular expression syntax.

Return type

An ARRAY of either STRINGs or BYTES

Examples

WITH code_markdown AS
  (SELECT "Try `function(x)` or `function(y)`" as code)

SELECT
  REGEXP_EXTRACT_ALL(code, "`(.+?)`") AS example
FROM code_markdown;

+----------------------------+
| example                    |
+----------------------------+
| [function(x), function(y)] |
+----------------------------+

REGEXP_REPLACE

REGEXP_REPLACE(value, regexp, replacement)

Description

Returns a STRING where all substrings of value that match regular expression regexp are replaced with replacement.

You can use backslashed-escaped digits (\1 to \9) within the replacement argument to insert text matching the corresponding parenthesized group in the regexp pattern. Use \0 to refer to the entire matching text.

Note: To add a backslash in your regular expression, you must first escape it. For example, SELECT REGEXP_REPLACE("abc", "b(.)", "X\\1"); returns aXc.

The REGEXP_REPLACE function only replaces non-overlapping matches. For example, replacing ana within banana results in only one replacement, not two.

If the regexp argument is not a valid regular expression, this function returns an error.

Note: Cloud Spanner SQL provides regular expression support using the re2 library; see that documentation for its regular expression syntax.

Return type

STRING or BYTES

Examples

WITH markdown AS
  (SELECT "# Heading" as heading
  UNION ALL
  SELECT "# Another heading" as heading)

SELECT
  REGEXP_REPLACE(heading, r"^# ([a-zA-Z0-9\s]+$)", "<h1>\\1</h1>")
  AS html
FROM markdown;

+--------------------------+
| html                     |
+--------------------------+
| <h1>Heading</h1>         |
| <h1>Another heading</h1> |
+--------------------------+

REPLACE

REPLACE(original_value, from_value, to_value)

Description

Replaces all occurrences of from_value with to_value in original_value. If from_value is empty, no replacement is made.

Return type

STRING or BYTES

Examples

WITH desserts AS
  (SELECT "apple pie" as dessert
  UNION ALL
  SELECT "blackberry pie" as dessert
  UNION ALL
  SELECT "cherry pie" as dessert)

SELECT
  REPLACE (dessert, "pie", "cobbler") as example
FROM desserts;

+--------------------+
| example            |
+--------------------+
| apple cobbler      |
| blackberry cobbler |
| cherry cobbler     |
+--------------------+

REPEAT

REPEAT(original_value, repetitions)

Description

Returns a STRING or BYTES value that consists of original_value, repeated. The repetitions parameter specifies the number of times to repeat original_value. Returns NULL if either original_value or repetitions are NULL.

This function returns an error if the repetitions value is negative.

Return type

STRING or BYTES

Examples

SELECT t, n, REPEAT(t, n) AS REPEAT FROM UNNEST([
  STRUCT('abc' AS t, 3 AS n),
  ('例子', 2),
  ('abc', null),
  (null, 3)
]);

+------+------+-----------+
| t    | n    | REPEAT    |
|------|------|-----------|
| abc  | 3    | abcabcabc |
| 例子 | 2    | 例子例子  |
| abc  | NULL | NULL      |
| NULL | 3    | NULL      |
+------+------+-----------+

REVERSE

REVERSE(value)

Description

Returns the reverse of the input STRING or BYTES.

Return type

STRING or BYTES

Examples

WITH example AS (
  SELECT "foo" AS sample_string, b"bar" AS sample_bytes UNION ALL
  SELECT "абвгд" AS sample_string, b"123" AS sample_bytes
)
SELECT
  sample_string,
  REVERSE(sample_string) AS reverse_string,
  sample_bytes,
  REVERSE(sample_bytes) AS reverse_bytes
FROM example;

+---------------+----------------+--------------+---------------+
| sample_string | reverse_string | sample_bytes | reverse_bytes |
+---------------+----------------+--------------+---------------+
| foo           | oof            | bar          | rab           |
| абвгд         | дгвба          | 123          | 321           |
+---------------+----------------+--------------+---------------+

RPAD

RPAD(original_value, return_length[, pattern])

Description

Returns a STRING or BYTES value that consists of original_value appended with pattern. The return_length parameter is an INT64 that specifies the length of the returned value. If original_value is BYTES, return_length is the number of bytes. If original_value is STRING, return_length is the number of characters.

The default value of pattern is a blank space.

Both original_value and pattern must be the same data type.

If return_length is less than or equal to the original_value length, this function returns the original_value value, truncated to the value of return_length. For example, RPAD("hello world", 7); returns "hello w".

If original_value, return_length, or pattern is NULL, this function returns NULL.

This function returns an error if:

• return_length is negative
• pattern is empty

Return type

STRING or BYTES

Examples

SELECT t, len, FORMAT("%T", RPAD(t, len)) AS RPAD FROM UNNEST([
  STRUCT('abc' AS t, 5 AS len),
  ('abc', 2),
  ('例子', 4)
]);

+------+-----+----------+
| t    | len | RPAD     |
|------|-----|----------|
| abc  | 5   | "abc  "  |
| abc  | 2   | "ab"     |
| 例子  | 4   | "例子  " |
+------+-----+----------+

SELECT t, len, pattern, FORMAT("%T", RPAD(t, len, pattern)) AS RPAD FROM UNNEST([
  STRUCT('abc' AS t, 8 AS len, 'def' AS pattern),
  ('abc', 5, '-'),
  ('例子', 5, '中文')
]);

+------+-----+---------+--------------+
| t    | len | pattern | RPAD         |
|------|-----|---------|--------------|
| abc  | 8   | def     | "abcdefde"   |
| abc  | 5   | -       | "abc--"      |
| 例子  | 5   | 中文     | "例子中文中"  |
+------+-----+---------+--------------+

SELECT FORMAT("%T", t) AS t, len, FORMAT("%T", RPAD(t, len)) AS RPAD FROM UNNEST([
  STRUCT(b'abc' AS t, 5 AS len),
  (b'abc', 2),
  (b'\xab\xcd\xef', 4)
]);

+-----------------+-----+------------------+
| t               | len | RPAD             |
|-----------------|-----|------------------|
| b"abc"          | 5   | b"abc  "         |
| b"abc"          | 2   | b"ab"            |
| b"\xab\xcd\xef" | 4   | b"\xab\xcd\xef " |
+-----------------+-----+------------------+

SELECT
  FORMAT("%T", t) AS t,
  len,
  FORMAT("%T", pattern) AS pattern,
  FORMAT("%T", RPAD(t, len, pattern)) AS RPAD
FROM UNNEST([
  STRUCT(b'abc' AS t, 8 AS len, b'def' AS pattern),
  (b'abc', 5, b'-'),
  (b'\xab\xcd\xef', 5, b'\x00')
]);

+-----------------+-----+---------+-------------------------+
| t               | len | pattern | RPAD                    |
|-----------------|-----|---------|-------------------------|
| b"abc"          | 8   | b"def"  | b"abcdefde"             |
| b"abc"          | 5   | b"-"    | b"abc--"                |
| b"\xab\xcd\xef" | 5   | b"\x00" | b"\xab\xcd\xef\x00\x00" |
+-----------------+-----+---------+-------------------------+

RTRIM

RTRIM(value1[, value2])

Description

Identical to TRIM, but only removes trailing characters.

Return type

STRING or BYTES

Examples

WITH items AS
  (SELECT "***apple***" as item
  UNION ALL
  SELECT "***banana***" as item
  UNION ALL
  SELECT "***orange***" as item)

SELECT
  RTRIM(item, "*") as example
FROM items;

+-----------+
| example   |
+-----------+
| ***apple  |
| ***banana |
| ***orange |
+-----------+

WITH items AS
  (SELECT "applexxx" as item
  UNION ALL
  SELECT "bananayyy" as item
  UNION ALL
  SELECT "orangezzz" as item
  UNION ALL
  SELECT "pearxyz" as item)

SELECT
  RTRIM(item, "xyz") as example
FROM items;

+---------+
| example |
+---------+
| apple   |
| banana  |
| orange  |
| pear    |
+---------+

SAFE_CONVERT_BYTES_TO_STRING

SAFE_CONVERT_BYTES_TO_STRING(value)

Description

Converts a sequence of BYTES to a STRING. Any invalid UTF-8 characters are replaced with the Unicode replacement character, U+FFFD.

Return type

STRING

Examples

The following statement returns the Unicode replacement character, �.

SELECT SAFE_CONVERT_BYTES_TO_STRING(b'\xc2') as safe_convert;

SPLIT

SPLIT(value[, delimiter])

Description

Splits value using the delimiter argument.

For STRING, the default delimiter is the comma ,.

For BYTES, you must specify a delimiter.

Splitting on an empty delimiter produces an array of UTF-8 characters for STRING values, and an array of BYTES for BYTES values.

Splitting an empty STRING returns an ARRAY with a single empty STRING.

Return type

ARRAY of type STRING or ARRAY of type BYTES

Examples

WITH letters AS
  (SELECT "" as letter_group
  UNION ALL
  SELECT "a" as letter_group
  UNION ALL
  SELECT "b c d" as letter_group)

SELECT SPLIT(letter_group, " ") as example
FROM letters;

+----------------------+
| example              |
+----------------------+
| []                   |
| [a]                  |
| [b, c, d]            |
+----------------------+

STARTS_WITH

STARTS_WITH(value1, value2)

Description

Takes two STRING or BYTES values. Returns TRUE if the second value is a prefix of the first.

Return type

BOOL

Examples

WITH items AS
  (SELECT "foo" as item
  UNION ALL
  SELECT "bar" as item
  UNION ALL
  SELECT "baz" as item)

SELECT
  STARTS_WITH(item, "b") as example
FROM items;

+---------+
| example |
+---------+
|   False |
|    True |
|    True |
+---------+

STRPOS

STRPOS(value1, value2)

Description

Takes two STRING or BYTES values. Returns the 1-based index of the first occurrence of value2 inside value1. Returns 0 if value2 is not found.

Return type

INT64

Examples

WITH email_addresses AS
  (SELECT
    "[e-mail]" AS email_address
  UNION ALL
  SELECT
    "[e-mail]" AS email_address
  UNION ALL
  SELECT
    "[e-mail]" AS email_address
  UNION ALL
  SELECT
    "quxexample.com" AS email_address)

SELECT
  STRPOS(email_address, "@") AS example
FROM email_addresses;

+---------+
| example |
+---------+
|       4 |
|       7 |
|      10 |
|       0 |
+---------+

SUBSTR

SUBSTR(value, position[, length])

Description

Returns a substring of the supplied STRING or BYTES value. The position argument is an integer specifying the starting position of the substring, with position = 1 indicating the first character or byte. The length argument is the maximum number of characters for STRING arguments, or bytes for BYTES arguments.

If position is negative, the function counts from the end of value, with -1 indicating the last character.

If position is a position off the left end of the STRING (position = 0 or position < -LENGTH(value)), the function starts from position = 1. If length exceeds the length of value, the function returns fewer than length characters.

If length is less than 0, the function returns an error.

Return type

STRING or BYTES

Examples

WITH items AS
  (SELECT "apple" as item
  UNION ALL
  SELECT "banana" as item
  UNION ALL
  SELECT "orange" as item)

SELECT
  SUBSTR(item, 2) as example
FROM items;

+---------+
| example |
+---------+
| pple    |
| anana   |
| range   |
+---------+

WITH items AS
  (SELECT "apple" as item
  UNION ALL
  SELECT "banana" as item
  UNION ALL
  SELECT "orange" as item)

SELECT
  SUBSTR(item, 2, 2) as example
FROM items;

+---------+
| example |
+---------+
| pp      |
| an      |
| ra      |
+---------+

WITH items AS
  (SELECT "apple" as item
  UNION ALL
  SELECT "banana" as item
  UNION ALL
  SELECT "orange" as item)

SELECT
  SUBSTR(item, -2) as example
FROM items;

+---------+
| example |
+---------+
| le      |
| na      |
| ge      |
+---------+

TO_BASE32

TO_BASE32(bytes_expr)

Description

Converts a sequence of BYTES into a base32-encoded STRING. To convert a base32-encoded STRING into BYTES, use FROM_BASE32.

Return type

STRING

Example

SELECT TO_BASE32(b'abcde\xFF') AS base32_string;

+------------------+
| base32_string    |
+------------------+
| MFRGGZDF74====== |
+------------------+

TO_BASE64

TO_BASE64(bytes_expr)

Description

Converts a sequence of BYTES into a base64-encoded STRING. To convert a base64-encoded STRING into BYTES, use FROM_BASE64.

There are several base64 encodings in common use that vary in exactly which alphabet of 65 ASCII characters are used to encode the 64 digits and padding. See RFC 4648 for details. This function adds padding and uses the alphabet [A-Za-z0-9+/=].

Return type

STRING

Example

SELECT TO_BASE64(b'\377\340') AS base64_string;

+---------------+
| base64_string |
+---------------+
| /+A=          |
+---------------+

To work with an encoding using a different base64 alphabet, you might need to compose TO_BASE64 with the REPLACE function. For instance, the base64url url-safe and filename-safe encoding commonly used in web programming uses -_= as the last characters rather than +/=. To encode a base64url-encoded string, replace - and _ with + and / respectively.

SELECT REPLACE(REPLACE(TO_BASE64(b"\377\340"), "+", "-"), "/", "_") as websafe_base64;

+----------------+
| websafe_base64 |
+----------------+
| _-A=           |
+----------------+

TO_CODE_POINTS

TO_CODE_POINTS(value)

Description

Takes a value and returns an array of INT64.

• If value is a STRING, each element in the returned array represents a code point. Each code point falls within the range of [0, 0xD7FF] and [0xE000, 0x10FFFF].
• If value is BYTES, each element in the array is an extended ASCII character value in the range of [0, 255].

To convert from an array of code points to a STRING or BYTES, see CODE_POINTS_TO_STRING or CODE_POINTS_TO_BYTES.

Return type

ARRAY of INT64

Examples

The following example gets the code points for each element in an array of words.

SELECT word, TO_CODE_POINTS(word) AS code_points
FROM UNNEST(['foo', 'bar', 'baz', 'giraffe', 'llama']) AS word;

+---------+------------------------------------+
| word    | code_points                        |
+---------+------------------------------------+
| foo     | [102, 111, 111]                    |
| bar     | [98, 97, 114]                      |
| baz     | [98, 97, 122]                      |
| giraffe | [103, 105, 114, 97, 102, 102, 101] |
| llama   | [108, 108, 97, 109, 97]            |
+---------+------------------------------------+

The following example converts integer representations of BYTES to their corresponding ASCII character values.

SELECT word, TO_CODE_POINTS(word) AS bytes_value_as_integer
FROM UNNEST([b'\x00\x01\x10\xff', b'\x66\x6f\x6f']) AS word;

+------------------+------------------------+
| word             | bytes_value_as_integer |
+------------------+------------------------+
| \x00\x01\x10\xff | [0, 1, 16, 255]        |
| foo              | [102, 111, 111]        |
+------------------+------------------------+

The following example demonstrates the difference between a BYTES result and a STRING result.

SELECT TO_CODE_POINTS(b'Ā') AS b_result, TO_CODE_POINTS('Ā') AS s_result;

+------------+----------+
| b_result   | s_result |
+------------+----------+
| [196, 128] | [256]    |
+------------+----------+

Notice that the character, Ā, is represented as a two-byte Unicode sequence. As a result, the BYTES version of TO_CODE_POINTS returns an array with two elements, while the STRING version returns an array with a single element.

TO_HEX

TO_HEX(bytes)

Description

Converts a sequence of BYTES into a hexadecimal STRING. Converts each byte in the STRING as two hexadecimal characters in the range (0..9, a..f). To convert a hexadecimal-encoded STRING to BYTES, use FROM_HEX.

Return type

STRING

Example

WITH Input AS (
  SELECT b'\x00\x01\x02\x03\xAA\xEE\xEF\xFF' AS byte_str UNION ALL
  SELECT b'foobar'
)
SELECT byte_str, TO_HEX(byte_str) AS hex_str
FROM Input;

+----------------------------------+------------------+
| byte_string                      | hex_string       |
+----------------------------------+------------------+
| \x00\x01\x02\x03\xaa\xee\xef\xff | 00010203aaeeefff |
| foobar                           | 666f6f626172     |
+----------------------------------+------------------+

TRIM

TRIM(value1[, value2])

Description

Removes all leading and trailing characters that match value2. If value2 is not specified, all leading and trailing whitespace characters (as defined by the Unicode standard) are removed. If the first argument is of type BYTES, the second argument is required.

If value2 contains more than one character or byte, the function removes all leading or trailing characters or bytes contained in value2.

Return type

STRING or BYTES

Examples

WITH items AS
  (SELECT "   apple   " as item
  UNION ALL
  SELECT "   banana   " as item
  UNION ALL
  SELECT "   orange   " as item)

SELECT
  CONCAT("#", TRIM(item), "#") as example
FROM items;

+----------+
| example  |
+----------+
| #apple#  |
| #banana# |
| #orange# |
+----------+

WITH items AS
  (SELECT "***apple***" as item
  UNION ALL
  SELECT "***banana***" as item
  UNION ALL
  SELECT "***orange***" as item)

SELECT
  TRIM(item, "*") as example
FROM items;

+---------+
| example |
+---------+
| apple   |
| banana  |
| orange  |
+---------+

WITH items AS
  (SELECT "xxxapplexxx" as item
  UNION ALL
  SELECT "yyybananayyy" as item
  UNION ALL
  SELECT "zzzorangezzz" as item
  UNION ALL
  SELECT "xyzpearxyz" as item)

SELECT
  TRIM(item, "xyz") as example
FROM items;

+---------+
| example |
+---------+
| apple   |
| banana  |
| orange  |
| pear    |
+---------+

UPPER

UPPER(value)

Description

For STRING arguments, returns the original string with all alphabetic characters in uppercase. Mapping between uppercase and lowercase is done according to the Unicode Character Database without taking into account language-specific mappings.

For BYTES arguments, the argument is treated as ASCII text, with all bytes greater than 127 left intact.

Return type

STRING or BYTES

Examples

WITH items AS
  (SELECT
    "foo" as item
  UNION ALL
  SELECT
    "bar" as item
  UNION ALL
  SELECT
    "baz" as item)

SELECT
  UPPER(item) AS example
FROM items;

+---------+
| example |
+---------+
| FOO     |
| BAR     |
| BAZ     |
+---------+

JSON functions

Cloud Spanner SQL supports functions that help you retrieve data stored in JSON-formatted strings and functions that help you transform data into JSON-formatted strings.

Function overview

The following functions use double quotes to escape invalid JSONPath characters: "a.b".

This behavior is consistent with the ANSI standard.

JSON function	Description	Return type
JSON_QUERY	Extracts a JSON value, such as an array or object, or a JSON-formatted scalar value, such as a string, integer, or boolean.	JSON-formatted STRING
JSON_VALUE	Extracts a scalar value. A scalar value can represent a string, integer, or boolean. Removes the outermost quotes and unescapes the values. Returns a SQL NULL if a non-scalar value is selected.	STRING

JSON_QUERY

JSON_QUERY(json_string_expr, json_path)

Description

Extracts a JSON value, such as an array or object, or a JSON-formatted scalar value, such as a string, integer, or boolean. If a JSON key uses invalid JSONPath characters, then you can escape those characters using double quotes.

• json_string_expr: A JSON-formatted string. For example:

  {"class" : {"students" : [{"name" : "Jane"}]}}
  

• json_path: The JSONPath. This identifies the value or values that you want to obtain from the JSON-formatted string. If json_path returns a JSON null, then this is converted into a SQL NULL.

If you want to include non-scalar values such as arrays in the extraction, then use JSON_QUERY. If you only want to extract scalar values such strings, integers, and booleans, then use JSON_VALUE.

Return type

A JSON-formatted STRING

Examples

SELECT JSON_QUERY(json_text, '$') AS json_text_string
FROM UNNEST([
  '{"class" : {"students" : [{"name" : "Jane"}]}}',
  '{"class" : {"students" : []}}',
  '{"class" : {"students" : [{"name" : "John"}, {"name": "Jamie"}]}}'
  ]) AS json_text;

+-----------------------------------------------------------+
| json_text_string                                          |
+-----------------------------------------------------------+
| {"class":{"students":[{"name":"Jane"}]}}                  |
| {"class":{"students":[]}}                                 |
| {"class":{"students":[{"name":"John"},{"name":"Jamie"}]}} |
+-----------------------------------------------------------+

SELECT JSON_QUERY(json_text, '$.class.students[0]') AS first_student
FROM UNNEST([
  '{"class" : {"students" : [{"name" : "Jane"}]}}',
  '{"class" : {"students" : []}}',
  '{"class" : {"students" : [{"name" : "John"}, {"name": "Jamie"}]}}'
  ]) AS json_text;

+-----------------+
| first_student   |
+-----------------+
| {"name":"Jane"} |
| NULL            |
| {"name":"John"} |
+-----------------+

SELECT JSON_QUERY(json_text, '$.class.students[1].name') AS second_student_name
FROM UNNEST([
  '{"class" : {"students" : [{"name" : "Jane"}]}}',
  '{"class" : {"students" : []}}',
  '{"class" : {"students" : [{"name" : "John"}, {"name" : null}]}}',
  '{"class" : {"students" : [{"name" : "John"}, {"name": "Jamie"}]}}'
  ]) AS json_text;

+-------------------+
| second_student    |
+-------------------+
| NULL              |
| NULL              |
| NULL              |
| "Jamie"           |
+-------------------+

SELECT JSON_QUERY(json_text, '$.class."students"') AS student_names
FROM UNNEST([
  '{"class" : {"students" : [{"name" : "Jane"}]}}',
  '{"class" : {"students" : []}}',
  '{"class" : {"students" : [{"name" : "John"}, {"name": "Jamie"}]}}'
  ]) AS json_text;

+------------------------------------+
| student_names                      |
+------------------------------------+
| [{"name":"Jane"}]                  |
| []                                 |
| [{"name":"John"},{"name":"Jamie"}] |
+------------------------------------+

JSON_VALUE

JSON_VALUE(json_string_expr[, json_path])

Description

Extracts a scalar value and then returns it as a string. A scalar value can represent a string, integer, or boolean. Removes the outermost quotes and unescapes the return values. If a JSON key uses invalid JSONPath characters, then you can escape those characters using double quotes.

• json_string_expr: A JSON-formatted string. For example:

  {"class" : {"students" : [{"name" : "Jane"}]}}
  

• json_path: The JSONPath. This identifies the value or values that you want to obtain from the JSON-formatted string. If json_path returns a JSON null or a non-scalar value (in other words, if json_path refers to an object or an array), then a SQL NULL is returned. If this optional parameter is not provided, then the JSONPath $ symbol is applied, which means that the entire JSON-formatted string is analyzed.

If you only want to extract scalar values such strings, integers, and booleans, then use JSON_VALUE. If you want to include non-scalar values such as arrays in the extraction, then use JSON_QUERY.

Return type

STRING

Examples

SELECT JSON_QUERY('{ "name" : "Jakob", "age" : "6" }', '$.name') AS json_name,
  JSON_VALUE('{ "name" : "Jakob", "age" : "6" }', '$.name') AS scalar_name,
  JSON_QUERY('{ "name" : "Jakob", "age" : "6" }', '$.age') AS json_age,
  JSON_VALUE('{ "name" : "Jakob", "age" : "6" }', '$.age') AS scalar_age;

+-----------+-------------+----------+------------+
| json_name | scalar_name | json_age | scalar_age |
+-----------+-------------+----------+------------+
| "Jakob"   | Jakob       | "6"      | 6          |
+-----------+-------------+----------+------------+

SELECT JSON_QUERY('{"fruits": ["apple", "banana"]}', '$.fruits') AS json_query,
  JSON_VALUE('{"fruits": ["apple", "banana"]}', '$.fruits') AS json_value;

+--------------------+------------+
| json_query         | json_value |
+--------------------+------------+
| ["apple","banana"] | NULL       |
+--------------------+------------+

In cases where a JSON key uses invalid JSONPath characters, you can escape those characters using double quotes. For example:

SELECT JSON_VALUE('{"a.b": {"c": "world"}}', '$."a.b".c') AS hello;

+-------+
| hello |
+-------+
| world |
+-------+

JSONPath

Most JSON functions pass in a json_string_expr and json_path parameter. The json_string_expr parameter passes in a JSON-formatted string, and the json_path parameter identifies the value or values you want to obtain from the JSON-formatted string.

The json_string_expr parameter must be a JSON string that is formatted like this:

{"class" : {"students" : [{"name" : "Jane"}]}}

You construct the json_path parameter using the JSONPath format. As part of this format, this parameter must start with a $ symbol, which refers to the outermost level of the JSON-formatted string. You can identify child values using dots. If the JSON object is an array, you can use brackets to specify the array index. If the keys contain $, dots, or brackets, refer to each JSON function for how to escape them.

JSONPath	Description	Example	Result using the above json_string_expr
$	Root object or element	"$"	{"class":{"students":[{"name":"Jane"}]}}
.	Child operator	"$.class.students"	[{"name":"Jane"}]
[]	Subscript operator	"$.class.students[0]"	{"name":"Jane"}

A JSON functions returns NULL if the json_path parameter does not match a value in json_string_expr. If the selected value for a scalar function is not scalar, such as an object or an array, the function returns NULL.

If the JSONPath is invalid, the function raises an error.

Array functions

ARRAY

ARRAY(subquery)

Description

The ARRAY function returns an ARRAY with one element for each row in a subquery.

If subquery produces a SQL table, the table must have exactly one column. Each element in the output ARRAY is the value of the single column of a row in the table.

If subquery produces a value table, then each element in the output ARRAY is the entire corresponding row of the value table.

Constraints

• Subqueries are unordered, so the elements of the output ARRAY are not guaranteed to preserve any order in the source table for the subquery. However, if the subquery includes an ORDER BY clause, the ARRAY function will return an ARRAY that honors that clause.
• If the subquery returns more than one column, the ARRAY function returns an error.
• If the subquery returns an ARRAY typed column or ARRAY typed rows, the ARRAY function returns an error: Cloud Spanner SQL does not support ARRAYs with elements of type ARRAY.
• If the subquery returns zero rows, the ARRAY function returns an empty ARRAY. It never returns a NULL ARRAY.

Return type

ARRAY

Examples

SELECT ARRAY
  (SELECT 1 UNION ALL
   SELECT 2 UNION ALL
   SELECT 3) AS new_array;

+-----------+
| new_array |
+-----------+
| [1, 2, 3] |
+-----------+

To construct an ARRAY from a subquery that contains multiple columns, change the subquery to use SELECT AS STRUCT. Now the ARRAY function will return an ARRAY of STRUCTs. The ARRAY will contain one STRUCT for each row in the subquery, and each of these STRUCTs will contain a field for each column in that row.

SELECT
  ARRAY
    (SELECT AS STRUCT 1, 2, 3
     UNION ALL SELECT AS STRUCT 4, 5, 6) AS new_array;

+------------------------+
| new_array              |
+------------------------+
| [{1, 2, 3}, {4, 5, 6}] |
+------------------------+

Similarly, to construct an ARRAY from a subquery that contains one or more ARRAYs, change the subquery to use SELECT AS STRUCT.

SELECT ARRAY
  (SELECT AS STRUCT [1, 2, 3] UNION ALL
   SELECT AS STRUCT [4, 5, 6]) AS new_array;

+----------------------------+
| new_array                  |
+----------------------------+
| [{[1, 2, 3]}, {[4, 5, 6]}] |
+----------------------------+

ARRAY_CONCAT

ARRAY_CONCAT(array_expression_1 [, array_expression_n])

Description

Concatenates one or more arrays with the same element type into a single array.

Note: You can also use the || concatenation operator to concatenate arrays.

Return type

ARRAY

Examples

SELECT ARRAY_CONCAT([1, 2], [3, 4], [5, 6]) as count_to_six;

+--------------------------------------------------+
| count_to_six                                     |
+--------------------------------------------------+
| [1, 2, 3, 4, 5, 6]                               |
+--------------------------------------------------+

ARRAY_LENGTH

ARRAY_LENGTH(array_expression)

Description

Returns the size of the array. Returns 0 for an empty array. Returns NULL if the array_expression is NULL.

Return type

INT64

Examples

WITH items AS
  (SELECT ["coffee", NULL, "milk" ] as list
  UNION ALL
  SELECT ["cake", "pie"] as list)
SELECT ARRAY_TO_STRING(list, ', ', 'NULL'), ARRAY_LENGTH(list) AS size
FROM items
ORDER BY size DESC;

+---------------------------------+------+
| list                            | size |
+---------------------------------+------+
| [coffee, NULL, milk]            | 3    |
| [cake, pie]                     | 2    |
+---------------------------------+------+

ARRAY_TO_STRING

ARRAY_TO_STRING(array_expression, delimiter[, null_text])

Description

Returns a concatenation of the elements in array_expression as a STRING. The value for array_expression can either be an array of STRING or BYTES data types.

If the null_text parameter is used, the function replaces any NULL values in the array with the value of null_text.

If the null_text parameter is not used, the function omits the NULL value and its preceding delimiter.

Examples

WITH items AS
  (SELECT ["coffee", "tea", "milk" ] as list
  UNION ALL
  SELECT ["cake", "pie", NULL] as list)

SELECT ARRAY_TO_STRING(list, '--') AS text
FROM items;

+--------------------------------+
| text                           |
+--------------------------------+
| coffee--tea--milk              |
| cake--pie                      |
+--------------------------------+

WITH items AS
  (SELECT ["coffee", "tea", "milk" ] as list
  UNION ALL
  SELECT ["cake", "pie", NULL] as list)

SELECT ARRAY_TO_STRING(list, '--', 'MISSING') AS text
FROM items;

+--------------------------------+
| text                           |
+--------------------------------+
| coffee--tea--milk              |
| cake--pie--MISSING             |
+--------------------------------+

GENERATE_ARRAY

GENERATE_ARRAY(start_expression, end_expression[, step_expression])

Description

Returns an array of values. The start_expression and end_expression parameters determine the inclusive start and end of the array.

The GENERATE_ARRAY function accepts the following data types as inputs:

• INT64
• NUMERIC
• FLOAT64

The step_expression parameter determines the increment used to generate array values. The default value for this parameter is 1.

This function returns an error if step_expression is set to 0, or if any input is NaN.

If any argument is NULL, the function will return a NULL array.

Return Data Type

ARRAY

Examples

The following returns an array of integers, with a default step of 1.

SELECT GENERATE_ARRAY(1, 5) AS example_array;

+-----------------+
| example_array   |
+-----------------+
| [1, 2, 3, 4, 5] |
+-----------------+

The following returns an array using a user-specified step size.

SELECT GENERATE_ARRAY(0, 10, 3) AS example_array;

+---------------+
| example_array |
+---------------+
| [0, 3, 6, 9]  |
+---------------+

The following returns an array using a negative value, -3 for its step size.

SELECT GENERATE_ARRAY(10, 0, -3) AS example_array;

+---------------+
| example_array |
+---------------+
| [10, 7, 4, 1] |
+---------------+

The following returns an array using the same value for the start_expression and end_expression.

SELECT GENERATE_ARRAY(4, 4, 10) AS example_array;

+---------------+
| example_array |
+---------------+
| [4]           |
+---------------+

The following returns an empty array, because the start_expression is greater than the end_expression, and the step_expression value is positive.

SELECT GENERATE_ARRAY(10, 0, 3) AS example_array;

+---------------+
| example_array |
+---------------+
| []            |
+---------------+

The following returns a NULL array because end_expression is NULL.

SELECT GENERATE_ARRAY(5, NULL, 1) AS example_array;

+---------------+
| example_array |
+---------------+
| NULL          |
+---------------+

The following returns multiple arrays.

SELECT GENERATE_ARRAY(start, 5) AS example_array
FROM UNNEST([3, 4, 5]) AS start;

+---------------+
| example_array |
+---------------+
| [3, 4, 5]     |
| [4, 5]        |
| [5]           |
+---------------+

GENERATE_DATE_ARRAY

GENERATE_DATE_ARRAY(start_date, end_date[, INTERVAL INT64_expr date_part])

Description

Returns an array of dates. The start_date and end_date parameters determine the inclusive start and end of the array.

The GENERATE_DATE_ARRAY function accepts the following data types as inputs:

• start_date must be a DATE
• end_date must be a DATE
• INT64_expr must be an INT64
• date_part must be either DAY, WEEK, MONTH, QUARTER, or YEAR.

The INT64_expr parameter determines the increment used to generate dates. The default value for this parameter is 1 day.

This function returns an error if INT64_expr is set to 0.

Return Data Type

An ARRAY containing 0 or more DATE values.

Examples

The following returns an array of dates, with a default step of 1.

SELECT GENERATE_DATE_ARRAY('2016-10-05', '2016-10-08') AS example;

+--------------------------------------------------+
| example                                          |
+--------------------------------------------------+
| [2016-10-05, 2016-10-06, 2016-10-07, 2016-10-08] |
+--------------------------------------------------+

The following returns an array using a user-specified step size.

SELECT GENERATE_DATE_ARRAY(
 '2016-10-05', '2016-10-09', INTERVAL 2 DAY) AS example;

+--------------------------------------+
| example                              |
+--------------------------------------+
| [2016-10-05, 2016-10-07, 2016-10-09] |
+--------------------------------------+

The following returns an array using a negative value, -3 for its step size.

SELECT GENERATE_DATE_ARRAY('2016-10-05',
  '2016-10-01', INTERVAL -3 DAY) AS example;

+--------------------------+
| example                  |
+--------------------------+
| [2016-10-05, 2016-10-02] |
+--------------------------+

The following returns an array using the same value for the start_dateand end_date.

SELECT GENERATE_DATE_ARRAY('2016-10-05',
  '2016-10-05', INTERVAL 8 DAY) AS example;

+--------------+
| example      |
+--------------+
| [2016-10-05] |
+--------------+

The following returns an empty array, because the start_date is greater than the end_date, and the step value is positive.

SELECT GENERATE_DATE_ARRAY('2016-10-05',
  '2016-10-01', INTERVAL 1 DAY) AS example;

+---------+
| example |
+---------+
| []      |
+---------+

The following returns a NULL array, because one of its inputs is NULL.

SELECT GENERATE_DATE_ARRAY('2016-10-05', NULL) AS example;

+---------+
| example |
+---------+
| NULL    |
+---------+

The following returns an array of dates, using MONTH as the date_part interval:

SELECT GENERATE_DATE_ARRAY('2016-01-01',
  '2016-12-31', INTERVAL 2 MONTH) AS example;

+--------------------------------------------------------------------------+
| example                                                                  |
+--------------------------------------------------------------------------+
| [2016-01-01, 2016-03-01, 2016-05-01, 2016-07-01, 2016-09-01, 2016-11-01] |
+--------------------------------------------------------------------------+

The following uses non-constant dates to generate an array.

SELECT GENERATE_DATE_ARRAY(date_start, date_end, INTERVAL 1 WEEK) AS date_range
FROM (
  SELECT DATE '2016-01-01' AS date_start, DATE '2016-01-31' AS date_end
  UNION ALL SELECT DATE "2016-04-01", DATE "2016-04-30"
  UNION ALL SELECT DATE "2016-07-01", DATE "2016-07-31"
  UNION ALL SELECT DATE "2016-10-01", DATE "2016-10-31"
) AS items;

+--------------------------------------------------------------+
| date_range                                                   |
+--------------------------------------------------------------+
| [2016-01-01, 2016-01-08, 2016-01-15, 2016-01-22, 2016-01-29] |
| [2016-04-01, 2016-04-08, 2016-04-15, 2016-04-22, 2016-04-29] |
| [2016-07-01, 2016-07-08, 2016-07-15, 2016-07-22, 2016-07-29] |
| [2016-10-01, 2016-10-08, 2016-10-15, 2016-10-22, 2016-10-29] |
+--------------------------------------------------------------+

OFFSET and ORDINAL

array_expression[OFFSET(zero_based_offset)]
array_expression[ORDINAL(one_based_offset)]

Description

Accesses an ARRAY element by position and returns the element. OFFSET means that the numbering starts at zero, ORDINAL means that the numbering starts at one.

A given array can be interpreted as either 0-based or 1-based. When accessing an array element, you must preface the array position with OFFSET or ORDINAL, respectively; there is no default behavior.

Both OFFSET and ORDINAL generate an error if the index is out of range.

Return type

Varies depending on the elements in the ARRAY.

Examples

WITH items AS
  (SELECT ["apples", "bananas", "pears", "grapes"] as list
  UNION ALL
  SELECT ["coffee", "tea", "milk" ] as list
  UNION ALL
  SELECT ["cake", "pie"] as list)

SELECT list, list[OFFSET(1)] as offset_1, list[ORDINAL(1)] as ordinal_1
FROM items;

+----------------------------------+-----------+-----------+
| list                             | offset_1  | ordinal_1 |
+----------------------------------+-----------+-----------+
| [apples, bananas, pears, grapes] | bananas   | apples    |
| [coffee, tea, milk]              | tea       | coffee    |
| [cake, pie]                      | pie       | cake      |
+----------------------------------+-----------+-----------+

ARRAY_REVERSE

ARRAY_REVERSE(value)

Description

Returns the input ARRAY with elements in reverse order.

Return type

ARRAY

Examples

WITH example AS (
  SELECT [1, 2, 3] AS arr UNION ALL
  SELECT [4, 5] AS arr UNION ALL
  SELECT [] AS arr
)
SELECT
  arr,
  ARRAY_REVERSE(arr) AS reverse_arr
FROM example;

+-----------+-------------+
| arr       | reverse_arr |
+-----------+-------------+
| [1, 2, 3] | [3, 2, 1]   |
| [4, 5]    | [5, 4]      |
| []        | []          |
+-----------+-------------+

ARRAY_IS_DISTINCT

ARRAY_IS_DISTINCT(value)

Description

Returns true if the array contains no repeated elements, using the same equality comparison logic as SELECT DISTINCT.

Return type

BOOL

Examples

WITH example AS (
  SELECT [1, 2, 3] AS arr UNION ALL
  SELECT [1, 1, 1] AS arr UNION ALL
  SELECT [1, 2, NULL] AS arr UNION ALL
  SELECT [1, 1, NULL] AS arr UNION ALL
  SELECT [1, NULL, NULL] AS arr UNION ALL
  SELECT [] AS arr UNION ALL
  SELECT CAST(NULL AS ARRAY<INT64>) AS arr
)
SELECT
  arr,
  ARRAY_IS_DISTINCT(arr) as is_distinct
FROM example;

+-----------------+-------------+
| arr             | is_distinct |
+-----------------+-------------+
| [1, 2, 3]       | true        |
| [1, 1, 1]       | false       |
| [1, 2, NULL]    | true        |
| [1, 1, NULL]    | false       |
| [1, NULL, NULL] | false       |
| []              | true        |
| NULL            | NULL        |
+-----------------+-------------+

SAFE_OFFSET and SAFE_ORDINAL

array_expression[SAFE_OFFSET(zero_based_offset)]
array_expression[SAFE_ORDINAL(one_based_offset)]

Description

Identical to OFFSET and ORDINAL, except returns NULL if the index is out of range.

Return type

Varies depending on the elements in the ARRAY.

Example

WITH items AS
  (SELECT ["apples", "bananas", "pears", "grapes"] as list
  UNION ALL
  SELECT ["coffee", "tea", "milk" ] as list
  UNION ALL
  SELECT ["cake", "pie"] as list)

SELECT list,
  list[SAFE_OFFSET(3)] as safe_offset_3,
  list[SAFE_ORDINAL(3)] as safe_ordinal_3
FROM items;

+----------------------------------+---------------+----------------+
| list                             | safe_offset_3 | safe_ordinal_3 |
+----------------------------------+---------------+----------------+
| [apples, bananas, pears, grapes] | grapes        | pears          |
| [coffee, tea, milk]              | NULL          | milk           |
| [cake, pie]                      | NULL          | NULL           |
+----------------------------------+---------------+----------------+

Date functions

Cloud Spanner SQL supports the following DATE functions.

CURRENT_DATE

CURRENT_DATE([time_zone])

Description

Returns the current date as of the specified or default timezone. Parentheses are optional when called with no arguments.

This function supports an optional time_zone parameter. This parameter is a string representing the timezone to use. If no timezone is specified, the default timezone, America/Los_Angeles, is used. See Timezone definitions for information on how to specify a time zone.

If the time_zone parameter evaluates to NULL, this function returns NULL.

Return Data Type

DATE

Example

SELECT CURRENT_DATE() as the_date;

+--------------+
| the_date     |
+--------------+
| 2016-12-25   |
+--------------+

When a column named current_date is present, the column name and the function call without parentheses are ambiguous. To ensure the function call, add parentheses; to ensure the column name, qualify it with its range variable. For example, the following query will select the function in the the_date column and the table column in the current_date column.

WITH t AS (SELECT 'column value' AS `current_date`)
SELECT current_date() AS the_date, t.current_date FROM t;

+------------+--------------+
| the_date   | current_date |
+------------+--------------+
| 2016-12-25 | column value |
+------------+--------------+

EXTRACT

EXTRACT(part FROM date_expression)

Description

Returns the value corresponding to the specified date part. The part must be one of:

• DAYOFWEEK: Returns values in the range [1,7] with Sunday as the first day of the week.
• DAY
• DAYOFYEAR
• WEEK: Returns the week number of the date in the range [0, 53]. Weeks begin with Sunday, and dates prior to the first Sunday of the year are in week 0.
• ISOWEEK: Returns the ISO 8601 week number of the date_expression. ISOWEEKs begin on Monday. Return values are in the range [1, 53]. The first ISOWEEK of each ISO year begins on the Monday before the first Thursday of the Gregorian calendar year.
• MONTH
• QUARTER: Returns values in the range [1,4].
• YEAR
• ISOYEAR: Returns the ISO 8601 week-numbering year, which is the Gregorian calendar year containing the Thursday of the week to which date_expression belongs.

Return Data Type

INT64

Examples

In the following example, EXTRACT returns a value corresponding to the DAY date part.

SELECT EXTRACT(DAY FROM DATE '2013-12-25') as the_day;

+---------+
| the_day |
+---------+
| 25      |
+---------+

In the following example, EXTRACT returns values corresponding to different date parts from a column of dates near the end of the year.

SELECT
  date,
  EXTRACT(ISOYEAR FROM date) AS isoyear,
  EXTRACT(ISOWEEK FROM date) AS isoweek,
  EXTRACT(YEAR FROM date) AS year,
  EXTRACT(WEEK FROM date) AS week
FROM UNNEST(GENERATE_DATE_ARRAY('2015-12-23', '2016-01-09')) AS date
ORDER BY date;
+------------+---------+---------+------+------+
| date       | isoyear | isoweek | year | week |
+------------+---------+---------+------+------+
| 2015-12-23 | 2015    | 52      | 2015 | 51   |
| 2015-12-24 | 2015    | 52      | 2015 | 51   |
| 2015-12-25 | 2015    | 52      | 2015 | 51   |
| 2015-12-26 | 2015    | 52      | 2015 | 51   |
| 2015-12-27 | 2015    | 52      | 2015 | 52   |
| 2015-12-28 | 2015    | 53      | 2015 | 52   |
| 2015-12-29 | 2015    | 53      | 2015 | 52   |
| 2015-12-30 | 2015    | 53      | 2015 | 52   |
| 2015-12-31 | 2015    | 53      | 2015 | 52   |
| 2016-01-01 | 2015    | 53      | 2016 | 0    |
| 2016-01-02 | 2015    | 53      | 2016 | 0    |
| 2016-01-03 | 2015    | 53      | 2016 | 1    |
| 2016-01-04 | 2016    | 1       | 2016 | 1    |
| 2016-01-05 | 2016    | 1       | 2016 | 1    |
| 2016-01-06 | 2016    | 1       | 2016 | 1    |
| 2016-01-07 | 2016    | 1       | 2016 | 1    |
| 2016-01-08 | 2016    | 1       | 2016 | 1    |
| 2016-01-09 | 2016    | 1       | 2016 | 1    |
+------------+---------+---------+------+------+

DATE

1. DATE(year, month, day)
2. DATE(timestamp_expression[, timezone])

Description

1. Constructs a DATE from INT64 values representing the year, month, and day.
2. Extracts the DATE from a TIMESTAMP expression. It supports an optional parameter to specify a timezone. If no timezone is specified, the default timezone, America/Los_Angeles, is used.

Return Data Type

DATE

Example

SELECT
  DATE(2016, 12, 25) as date_ymd,
  DATE(TIMESTAMP "2016-12-25 05:30:00+07", "America/Los_Angeles") as date_tstz;

+------------+------------+
| date_ymd   | date_tstz  |
+------------+------------+
| 2016-12-25 | 2016-12-24 |
+------------+------------+

DATE_ADD

DATE_ADD(date_expression, INTERVAL int64_expression date_part)

Description

Adds a specified time interval to a DATE.

DATE_ADD supports the following date_part values:

• DAY
• WEEK. Equivalent to 7 DAYs.
• MONTH
• QUARTER
• YEAR

Special handling is required for MONTH, QUARTER, and YEAR parts when the date is at (or near) the last day of the month. If the resulting month has fewer days than the original date's day, then the result day is the last day of the new month.

Return Data Type

DATE

Example

SELECT DATE_ADD(DATE "2008-12-25", INTERVAL 5 DAY) as five_days_later;

+--------------------+
| five_days_later    |
+--------------------+
| 2008-12-30         |
+--------------------+

DATE_SUB

DATE_SUB(date_expression, INTERVAL int64_expression date_part)

Description

Subtracts a specified time interval from a DATE.

DATE_SUB supports the following date_part values:

• DAY
• WEEK. Equivalent to 7 DAYs.
• MONTH
• QUARTER
• YEAR

Special handling is required for MONTH, QUARTER, and YEAR parts when the date is at (or near) the last day of the month. If the resulting month has fewer days than the original date's day, then the result day is the last day of the new month.

Return Data Type

DATE

Example

SELECT DATE_SUB(DATE "2008-12-25", INTERVAL 5 DAY) as five_days_ago;

+---------------+
| five_days_ago |
+---------------+
| 2008-12-20    |
+---------------+

DATE_DIFF

DATE_DIFF(date_expression_a, date_expression_b, date_part)

Description

Returns the number of whole specified date_part intervals between two DATE objects (date_expression_a - date_expression_b). If the first DATE is earlier than the second one, the output is negative.

DATE_DIFF supports the following date_part values:

• DAY
• WEEK This date part begins on Sunday.
• ISOWEEK: Uses ISO 8601 week boundaries. ISO weeks begin on Monday.
• MONTH
• QUARTER
• YEAR
• ISOYEAR: Uses the ISO 8601 week-numbering year boundary. The ISO year boundary is the Monday of the first week whose Thursday belongs to the corresponding Gregorian calendar year.

Return Data Type

INT64

Example

SELECT DATE_DIFF(DATE '2010-07-07', DATE '2008-12-25', DAY) as days_diff;

+-----------+
| days_diff |
+-----------+
| 559       |
+-----------+

SELECT
  DATE_DIFF(DATE '2017-10-15', DATE '2017-10-14', DAY) as days_diff,
  DATE_DIFF(DATE '2017-10-15', DATE '2017-10-14', WEEK) as weeks_diff;

+-----------+------------+
| days_diff | weeks_diff |
+-----------+------------+
| 1         | 1          |
+-----------+------------+

The example above shows the result of DATE_DIFF for two days in succession. DATE_DIFF with the date part WEEK returns 1 because DATE_DIFF counts the number of date part boundaries in this range of dates. Each WEEK begins on Sunday, so there is one date part boundary between Saturday, 2017-10-14 and Sunday, 2017-10-15.

The following example shows the result of DATE_DIFF for two dates in different years. DATE_DIFF with the date part YEAR returns 3 because it counts the number of Gregorian calendar year boundaries between the two dates. DATE_DIFF with the date part ISOYEAR returns 2 because the second date belongs to the ISO year 2015. The first Thursday of the 2015 calendar year was 2015-01-01, so the ISO year 2015 begins on the preceding Monday, 2014-12-29.

SELECT
  DATE_DIFF('2017-12-30', '2014-12-30', YEAR) AS year_diff,
  DATE_DIFF('2017-12-30', '2014-12-30', ISOYEAR) AS isoyear_diff;

+-----------+--------------+
| year_diff | isoyear_diff |
+-----------+--------------+
| 3         | 2            |
+-----------+--------------+

The following example shows the result of DATE_DIFF for two days in succession. The first date falls on a Monday and the second date falls on a Sunday. DATE_DIFF with the date part WEEK returns 0 because this date part uses weeks that begin on Sunday. DATE_DIFF with the date part ISOWEEK returns 1 because ISO weeks begin on Monday.

SELECT
  DATE_DIFF('2017-12-18', '2017-12-17', WEEK) AS week_diff,
  DATE_DIFF('2017-12-18', '2017-12-17', ISOWEEK) AS isoweek_diff;

+-----------+--------------+
| week_diff | isoweek_diff |
+-----------+--------------+
| 0         | 1            |
+-----------+--------------+

DATE_TRUNC

DATE_TRUNC(date_expression, date_part)

Description

Truncates the date to the specified granularity.

DATE_TRUNC supports the following values for date_part:

• DAY
• WEEK
• ISOWEEK: Truncates date_expression to the preceding ISO 8601 week boundary. ISOWEEKs begin on Monday. The first ISOWEEK of each ISO year contains the first Thursday of the corresponding Gregorian calendar year. Any date_expression earlier than this will truncate to the preceding Monday.
• MONTH
• QUARTER
• YEAR
• ISOYEAR: Truncates date_expression to the preceding ISO 8601 week-numbering year boundary. The ISO year boundary is the Monday of the first week whose Thursday belongs to the corresponding Gregorian calendar year.

Return Data Type

DATE

Examples

SELECT DATE_TRUNC(DATE '2008-12-25', MONTH) as month;

+------------+
| month      |
+------------+
| 2008-12-01 |
+------------+

In the following example, the original date_expression is in the Gregorian calendar year 2015. However, DATE_TRUNC with the ISOYEAR date part truncates the date_expression to the beginning of the ISO year, not the Gregorian calendar year. The first Thursday of the 2015 calendar year was 2015-01-01, so the ISO year 2015 begins on the preceding Monday, 2014-12-29. Therefore the ISO year boundary preceding the date_expression 2015-06-15 is 2014-12-29.

SELECT
  DATE_TRUNC('2015-06-15', ISOYEAR) AS isoyear_boundary,
  EXTRACT(ISOYEAR FROM DATE '2015-06-15') AS isoyear_number;

+------------------+----------------+
| isoyear_boundary | isoyear_number |
+------------------+----------------+
| 2014-12-29       | 2015           |
+------------------+----------------+

DATE_FROM_UNIX_DATE

DATE_FROM_UNIX_DATE(int64_expression)

Description

Interprets int64_expression as the number of days since 1970-01-01.

Return Data Type

DATE

Example

SELECT DATE_FROM_UNIX_DATE(14238) as date_from_epoch;

+-----------------+
| date_from_epoch |
+-----------------+
| 2008-12-25      |
+-----------------+

FORMAT_DATE

FORMAT_DATE(format_string, date_expr)

Description

Formats the date_expr according to the specified format_string.

See Supported Format Elements For DATE for a list of format elements that this function supports.

Return Data Type

STRING

Examples

SELECT FORMAT_DATE("%x", DATE "2008-12-25") as US_format;

+------------+
| US_format  |
+------------+
| 12/25/08   |
+------------+

SELECT FORMAT_DATE("%b-%d-%Y", DATE "2008-12-25") AS formatted;

+-------------+
| formatted   |
+-------------+
| Dec-25-2008 |
+-------------+

SELECT FORMAT_DATE("%b %Y", DATE "2008-12-25") AS formatted;

+-------------+
| formatted   |
+-------------+
| Dec 2008    |
+-------------+

PARSE_DATE

PARSE_DATE(format_string, date_string)

Description

Converts a string representation of date to a DATE object.

format_string contains the format elements that define how date_string is formatted. Each element in date_string must have a corresponding element in format_string. The location of each element in format_string must match the location of each element in date_string.

-- This works because elements on both sides match.
SELECT PARSE_DATE("%A %b %e %Y", "Thursday Dec 25 2008")

-- This doesn't work because the year element is in different locations.
SELECT PARSE_DATE("%Y %A %b %e", "Thursday Dec 25 2008")

-- This doesn't work because one of the year elements is missing.
SELECT PARSE_DATE("%A %b %e", "Thursday Dec 25 2008")

-- This works because %F can find all matching elements in date_string.
SELECT PARSE_DATE("%F", "2000-12-30")

The format string fully supports most format elements except for %a, %A, %g, %G, %j, %u, %U, %V, %w, and %W.

When using PARSE_DATE, keep the following in mind:

• Unspecified fields. Any unspecified field is initialized from 1970-01-01.
• Case insensitive names. Names, such as Monday, February, and so on, are case insensitive.
• Whitespace. One or more consecutive white spaces in the format string matches zero or more consecutive white spaces in the date string. In addition, leading and trailing white spaces in the date string are always allowed -- even if they are not in the format string.
• Format precedence. When two (or more) format elements have overlapping information (for example both %F and %Y affect the year), the last one generally overrides any earlier ones.

Return Data Type

DATE

Examples

This example converts a MM/DD/YY formatted string to a DATE object:

SELECT PARSE_DATE("%x", "12/25/08") as parsed;

+------------+
| parsed     |
+------------+
| 2008-12-25 |
+------------+

This example converts a YYYYMMDD formatted string to a DATE object:

SELECT PARSE_DATE("%Y%m%d", "20081225") as parsed;

+------------+
| parsed     |
+------------+
| 2008-12-25 |
+------------+

UNIX_DATE

UNIX_DATE(date_expression)

Description

Returns the number of days since 1970-01-01.

Return Data Type

INT64

Example

SELECT UNIX_DATE(DATE "2008-12-25") as days_from_epoch;

+-----------------+
| days_from_epoch |
+-----------------+
| 14238           |
+-----------------+

Supported format elements for DATE

Unless otherwise noted, DATE functions that use format strings support the following elements:

Format element	Description	Example
%A	The full weekday name.	Wednesday
%a	The abbreviated weekday name.	Wed
%B	The full month name.	January
%b or %h	The abbreviated month name.	Jan
%C	The century (a year divided by 100 and truncated to an integer) as a decimal number (00-99).	20
%D	The date in the format %m/%d/%y.	01/20/21
%d	The day of the month as a decimal number (01-31).	20
%e	The day of month as a decimal number (1-31); single digits are preceded by a space.	20
%F	The date in the format %Y-%m-%d.	2021-01-20
%G	The ISO 8601 year with century as a decimal number. Each ISO year begins on the Monday before the first Thursday of the Gregorian calendar year. Note that %G and %Y may produce different results near Gregorian year boundaries, where the Gregorian year and ISO year can diverge.	2021
%g	The ISO 8601 year without century as a decimal number (00-99). Each ISO year begins on the Monday before the first Thursday of the Gregorian calendar year. Note that %g and %y may produce different results near Gregorian year boundaries, where the Gregorian year and ISO year can diverge.	21
%j	The day of the year as a decimal number (001-366).	020
%m	The month as a decimal number (01-12).	01
%n	A newline character.
%t	A tab character.
%U	The week number of the year (Sunday as the first day of the week) as a decimal number (00-53).	03
%u	The weekday (Monday as the first day of the week) as a decimal number (1-7).	3
%V	The ISO 8601 week number of the year (Monday as the first day of the week) as a decimal number (01-53). If the week containing January 1 has four or more days in the new year, then it is week 1; otherwise it is week 53 of the previous year, and the next week is week 1.	03
%W	The week number of the year (Monday as the first day of the week) as a decimal number (00-53).	03
%w	The weekday (Sunday as the first day of the week) as a decimal number (0-6).	3
%x	The date representation in MM/DD/YY format.	01/20/21
%Y	The year with century as a decimal number.	2021
%y	The year without century as a decimal number (00-99), with an optional leading zero. Can be mixed with %C. If %C is not specified, years 00-68 are 2000s, while years 69-99 are 1900s.	21
%E4Y	Four-character years (0001 ... 9999). Note that %Y produces as many characters as it takes to fully render the year.	2021

Timestamp functions

Cloud Spanner SQL supports the following TIMESTAMP functions.

NOTE: These functions return a runtime error if overflow occurs; result values are bounded by the defined date and timestamp min/max values.

CURRENT_TIMESTAMP

CURRENT_TIMESTAMP()

Description

CURRENT_TIMESTAMP() produces a TIMESTAMP value that is continuous, non-ambiguous, has exactly 60 seconds per minute and does not repeat values over the leap second. Parentheses are optional.

This function handles leap seconds by smearing them across a window of 20 hours around the inserted leap second.

Supported Input Types

Not applicable

Result Data Type

TIMESTAMP

Examples

SELECT CURRENT_TIMESTAMP() as now;

+--------------------------------+
| now                            |
+--------------------------------+
| 2020-06-02T23:58:40.347847393Z |
+--------------------------------+

When a column named current_timestamp is present, the column name and the function call without parentheses are ambiguous. To ensure the function call, add parentheses; to ensure the column name, qualify it with its range variable. For example, the following query will select the function in the now column and the table column in the current_timestamp column.

WITH t AS (SELECT 'column value' AS `current_timestamp`)
SELECT current_timestamp() AS now, t.current_timestamp FROM t;

+--------------------------------+-------------------+
| now                            | current_timestamp |
+--------------------------------+-------------------+
| 2020-06-02T23:58:40.347847393Z | column value      |
+--------------------------------+-------------------+

EXTRACT

EXTRACT(part FROM timestamp_expression [AT TIME ZONE timezone])

Description

Returns a value that corresponds to the specified part from a supplied timestamp_expression. This function supports an optional timezone parameter. See Time zone definitions for information on how to specify a time zone.

Allowed part values are:

• NANOSECOND
• MICROSECOND
• MILLISECOND
• SECOND
• MINUTE
• HOUR
• DAYOFWEEK
• DAY
• DAYOFYEAR
• WEEK: Returns the week number of the date in the range [0, 53]. Weeks begin with Sunday, and dates prior to the first Sunday of the year are in week 0.
• ISOWEEK: Returns the ISO 8601 week number of the datetime_expression. ISOWEEKs begin on Monday. Return values are in the range [1, 53]. The first ISOWEEK of each ISO year begins on the Monday before the first Thursday of the Gregorian calendar year.
• MONTH
• QUARTER
• YEAR
• ISOYEAR: Returns the ISO 8601 week-numbering year, which is the Gregorian calendar year containing the Thursday of the week to which date_expression belongs.
• DATE

Returned values truncate lower order time periods. For example, when extracting seconds, EXTRACT truncates the millisecond and microsecond values.

Return Data Type

INT64, except when:

• part is DATE, returns a DATE object.

Examples

In the following example, EXTRACT returns a value corresponding to the DAY time part.

WITH Input AS (SELECT TIMESTAMP("2008-12-25 05:30:00+00") AS timestamp_value)
SELECT
  EXTRACT(DAY FROM timestamp_value AT TIME ZONE "UTC") AS the_day_utc,
  EXTRACT(DAY FROM timestamp_value AT TIME ZONE "America/Los_Angeles") AS the_day_california
FROM Input

+-------------+--------------------+
| the_day_utc | the_day_california |
+-------------+--------------------+
| 25          | 24                 |
+-------------+--------------------+

In the following example, EXTRACT returns values corresponding to different time parts from a column of timestamps.

WITH Timestamps AS (
  SELECT TIMESTAMP("2005-01-03 12:34:56+00") AS timestamp_value UNION ALL
  SELECT TIMESTAMP("2007-12-31 12:00:00+00") UNION ALL
  SELECT TIMESTAMP("2009-01-01 12:00:00+00") UNION ALL
  SELECT TIMESTAMP("2009-12-31 12:00:00+00") UNION ALL
  SELECT TIMESTAMP("2017-01-02 12:00:00+00") UNION ALL
  SELECT TIMESTAMP("2017-05-26 12:00:00+00")
)
SELECT
  timestamp_value,
  EXTRACT(ISOYEAR FROM timestamp_value) AS isoyear,
  EXTRACT(ISOWEEK FROM timestamp_value) AS isoweek,
  EXTRACT(YEAR FROM timestamp_value) AS year,
  EXTRACT(WEEK FROM timestamp_value) AS week
FROM Timestamps
ORDER BY timestamp_value;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+---------+---------+------+------+
| timestamp_value        | isoyear | isoweek | year | week |
+------------------------+---------+---------+------+------+
| 2005-01-03T12:34:56Z   | 2005    | 1       | 2005 | 1    |
| 2007-12-31T12:00:00Z   | 2008    | 1       | 2007 | 52   |
| 2009-01-01T12:00:00Z   | 2009    | 1       | 2009 | 0    |
| 2009-12-31T12:00:00Z   | 2009    | 53      | 2009 | 52   |
| 2017-01-02T12:00:00Z   | 2017    | 1       | 2017 | 1    |
| 2017-05-26T12:00:00Z   | 2017    | 21      | 2017 | 21   |
+------------------------+---------+---------+------+------+

STRING

STRING(timestamp_expression[, timezone])

Description

Converts a timestamp_expression to a STRING data type. Supports an optional parameter to specify a time zone. See Time zone definitions for information on how to specify a time zone.

Return Data Type

STRING

Example

SELECT STRING(TIMESTAMP "2008-12-25 15:30:00+00", "UTC") AS string;

+-------------------------------+
| string                        |
+-------------------------------+
| 2008-12-25 15:30:00+00        |
+-------------------------------+

TIMESTAMP

TIMESTAMP(string_expression[, timezone])
TIMESTAMP(date_expression[, timezone])

Description

• string_expression[, timezone]: Converts a STRING expression to a TIMESTAMP data type. string_expression must include a timestamp literal. If string_expression includes a timezone in the timestamp literal, do not include an explicit timezone argument.
• date_expression[, timezone]: Converts a DATE object to a TIMESTAMP data type.

This function supports an optional parameter to specify a time zone. If no time zone is specified, the default time zone, America/Los_Angeles, is used.

Return Data Type

TIMESTAMP

Examples

SELECT TIMESTAMP("2008-12-25 15:30:00+00") AS timestamp_str;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+----------------------+
| timestamp_str        |
+----------------------+
| 2008-12-25T15:30:00Z |
+----------------------+

SELECT TIMESTAMP("2008-12-25 15:30:00", "America/Los_Angeles") AS timestamp_str;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+----------------------+
| timestamp_str        |
+----------------------+
| 2008-12-25T23:30:00Z |
+----------------------+

SELECT TIMESTAMP("2008-12-25 15:30:00 UTC") AS timestamp_str;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+----------------------+
| timestamp_str        |
+----------------------+
| 2008-12-25T15:30:00Z |
+----------------------+

SELECT TIMESTAMP(DATE "2008-12-25") AS timestamp_date;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+----------------------+
| timestamp_date       |
+----------------------+
| 2008-12-25T08:00:00Z |
+----------------------+

TIMESTAMP_ADD

TIMESTAMP_ADD(timestamp_expression, INTERVAL int64_expression date_part)

Description

Adds int64_expression units of date_part to the timestamp, independent of any time zone.

TIMESTAMP_ADD supports the following values for date_part:

• NANOSECOND
• MICROSECOND
• MILLISECOND
• SECOND
• MINUTE
• HOUR. Equivalent to 60 MINUTEs.
• DAY. Equivalent to 24 HOURs.

Return Data Types

TIMESTAMP

Example

SELECT
  TIMESTAMP("2008-12-25 15:30:00+00") AS original,
  TIMESTAMP_ADD(TIMESTAMP "2008-12-25 15:30:00+00", INTERVAL 10 MINUTE) AS later;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+------------------------+
| original               | later                  |
+------------------------+------------------------+
| 2008-12-25T15:30:00Z   | 2008-12-25T15:40:00Z   |
+------------------------+------------------------+

TIMESTAMP_SUB

TIMESTAMP_SUB(timestamp_expression, INTERVAL int64_expression date_part)

Description

Subtracts int64_expression units of date_part from the timestamp, independent of any time zone.

TIMESTAMP_SUB supports the following values for date_part:

• NANOSECOND
• MICROSECOND
• MILLISECOND
• SECOND
• MINUTE
• HOUR. Equivalent to 60 MINUTEs.
• DAY. Equivalent to 24 HOURs.

Return Data Type

TIMESTAMP

Example

SELECT
  TIMESTAMP("2008-12-25 15:30:00+00") AS original,
  TIMESTAMP_SUB(TIMESTAMP "2008-12-25 15:30:00+00", INTERVAL 10 MINUTE) AS earlier;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+------------------------+
| original               | earlier                |
+------------------------+------------------------+
| 2008-12-25T15:30:00Z   | 2008-12-25T15:20:00Z   |
+------------------------+------------------------+

TIMESTAMP_DIFF

TIMESTAMP_DIFF(timestamp_expression_a, timestamp_expression_b, date_part)

Description

Returns the number of whole specified date_part intervals between two TIMESTAMP objects (timestamp_expression_b - timestamp_expression_a). If the first TIMESTAMP (timestamp_expression_a) is earlier than the second one (timestamp_expression_b), the output is negative. Throws an error if the computation overflows the result type, such as if the difference in nanoseconds between the two TIMESTAMP objects would overflow an INT64 value.

TIMESTAMP_DIFF supports the following values for date_part:

• NANOSECOND
• MICROSECOND
• MILLISECOND
• SECOND
• MINUTE
• HOUR. Equivalent to 60 MINUTEs.
• DAY. Equivalent to 24 HOURs.

Return Data Type

INT64

Example

SELECT
  TIMESTAMP("2010-07-07 10:20:00+00") AS later_timestamp,
  TIMESTAMP("2008-12-25 15:30:00+00") AS earlier_timestamp,
  TIMESTAMP_DIFF(TIMESTAMP "2010-07-07 10:20:00+00", TIMESTAMP "2008-12-25 15:30:00+00", HOUR) AS hours;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+------------------------+-------+
| later_timestamp        | earlier_timestamp      | hours |
+------------------------+------------------------+-------+
| 2010-07-07T10:20:00Z   | 2008-12-25T15:30:00Z   | 13410 |
+------------------------+------------------------+-------+

In the following example, the first timestamp occurs before the second timestamp, resulting in a negative output.

SELECT TIMESTAMP_DIFF(TIMESTAMP "2018-08-14", TIMESTAMP "2018-10-14", DAY);

+---------------+
| negative_diff |
+---------------+
| -61           |
+---------------+

In this example, the result is 0 because only the number of whole specified HOUR intervals are included.

SELECT TIMESTAMP_DIFF("2001-02-01 01:00:00", "2001-02-01 00:00:01", HOUR)

+---------------+
| negative_diff |
+---------------+
| 0             |
+---------------+

TIMESTAMP_TRUNC

TIMESTAMP_TRUNC(timestamp_expression, date_part[, timezone])

Description

Truncates a timestamp to the granularity of date_part.

TIMESTAMP_TRUNC supports the following values for date_part:

• NANOSECOND
• MICROSECOND
• MILLISECOND
• SECOND
• MINUTE
• HOUR
• DAY
• WEEK
• ISOWEEK: Truncates timestamp_expression to the preceding ISO 8601 week boundary. ISOWEEKs begin on Monday. The first ISOWEEK of each ISO year contains the first Thursday of the corresponding Gregorian calendar year. Any date_expression earlier than this will truncate to the preceding Monday.
• MONTH
• QUARTER
• YEAR
• ISOYEAR: Truncates timestamp_expression to the preceding ISO 8601 week-numbering year boundary. The ISO year boundary is the Monday of the first week whose Thursday belongs to the corresponding Gregorian calendar year.

TIMESTAMP_TRUNC function supports an optional timezone parameter. This parameter applies to the following date_parts:

• MINUTE
• HOUR
• DAY
• WEEK
• ISOWEEK
• MONTH
• QUARTER
• YEAR
• ISOYEAR

Use this parameter if you want to use a time zone other than the default time zone, America/Los_Angeles, as part of the truncate operation.

When truncating a TIMESTAMP to MINUTE orHOUR, TIMESTAMP_TRUNC determines the civil time of the TIMESTAMP in the specified (or default) time zone and subtracts the minutes and seconds (when truncating to HOUR) or the seconds (when truncating to MINUTE) from that TIMESTAMP. While this provides intuitive results in most cases, the result is non-intuitive near daylight savings transitions that are not hour aligned.

Return Data Type

TIMESTAMP

Examples

SELECT
  TIMESTAMP_TRUNC(TIMESTAMP "2008-12-25 15:30:00+00", DAY, "UTC") AS utc,
  TIMESTAMP_TRUNC(TIMESTAMP "2008-12-25 15:30:00+00", DAY, "America/Los_Angeles") AS la;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+------------------------+
| utc                    | la                     |
+------------------------+------------------------+
| 2008-12-25T00:00:00Z   | 2008-12-25T08:00:00Z   |
+------------------------+------------------------+

In the following example, the original timestamp_expression is in the Gregorian calendar year 2015. However, TIMESTAMP_TRUNC with the ISOYEAR date part truncates the timestamp_expression to the beginning of the ISO year, not the Gregorian calendar year. The first Thursday of the 2015 calendar year was 2015-01-01, so the ISO year 2015 begins on the preceding Monday, 2014-12-29. Therefore the ISO year boundary preceding the timestamp_expression 2015-06-15 00:00:00+00 is 2014-12-29.

SELECT
  TIMESTAMP_TRUNC("2015-06-15 00:00:00+00", ISOYEAR) AS isoyear_boundary,
  EXTRACT(ISOYEAR FROM TIMESTAMP "2015-06-15 00:00:00+00") AS isoyear_number;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+----------------+
| parsed                 | isoyear_number |
+------------------------+----------------+
| 2014-12-29T08:00:00Z   | 2015           |
+------------------------+----------------+

FORMAT_TIMESTAMP

FORMAT_TIMESTAMP(format_string, timestamp[, timezone])

Description

Formats a timestamp according to the specified format_string.

See Supported Format Elements For TIMESTAMP for a list of format elements that this function supports.

Return Data Type

STRING

Example

SELECT FORMAT_TIMESTAMP("%c", TIMESTAMP "2008-12-25 15:30:00+00", "UTC") AS formatted;

+--------------------------+
| formatted                |
+--------------------------+
| Thu Dec 25 15:30:00 2008 |
+--------------------------+

SELECT FORMAT_TIMESTAMP("%b-%d-%Y", TIMESTAMP "2008-12-25 15:30:00+00") AS formatted;

+-------------+
| formatted   |
+-------------+
| Dec-25-2008 |
+-------------+

SELECT FORMAT_TIMESTAMP("%b %Y", TIMESTAMP "2008-12-25 15:30:00+00")
  AS formatted;

+-------------+
| formatted   |
+-------------+
| Dec 2008    |
+-------------+

PARSE_TIMESTAMP

PARSE_TIMESTAMP(format_string, timestamp_string[, timezone])

Description

Converts a string representation of a timestamp to a TIMESTAMP object.

format_string contains the format elements that define how timestamp_string is formatted. Each element in timestamp_string must have a corresponding element in format_string. The location of each element in format_string must match the location of each element in timestamp_string.

-- This works because elements on both sides match.
SELECT PARSE_TIMESTAMP("%a %b %e %I:%M:%S %Y", "Thu Dec 25 07:30:00 2008")

-- This doesn't work because the year element is in different locations.
SELECT PARSE_TIMESTAMP("%a %b %e %Y %I:%M:%S", "Thu Dec 25 07:30:00 2008")

-- This doesn't work because one of the year elements is missing.
SELECT PARSE_TIMESTAMP("%a %b %e %I:%M:%S", "Thu Dec 25 07:30:00 2008")

-- This works because %c can find all matching elements in timestamp_string.
SELECT PARSE_TIMESTAMP("%c", "Thu Dec 25 07:30:00 2008")

The format string fully supports most format elements, except for %a, %A, %g, %G, %j, %P, %u, %U, %V, %w, and %W.

When using PARSE_TIMESTAMP, keep the following in mind:

• Unspecified fields. Any unspecified field is initialized from 1970-01-01 00:00:00.0. This initialization value uses the time zone specified by the function's time zone argument, if present. If not, the initialization value uses the default time zone, America/Los_Angeles. For instance, if the year is unspecified then it defaults to 1970, and so on.
• Case insensitive names. Names, such as Monday, February, and so on, are case insensitive.
• Whitespace. One or more consecutive white spaces in the format string matches zero or more consecutive white spaces in the timestamp string. In addition, leading and trailing white spaces in the timestamp string are always allowed, even if they are not in the format string.
• Format precedence. When two (or more) format elements have overlapping information (for example both %F and %Y affect the year), the last one generally overrides any earlier ones, with some exceptions (see the descriptions of %s, %C, and %y).

Return Data Type

TIMESTAMP

Example

SELECT PARSE_TIMESTAMP("%c", "Thu Dec 25 07:30:00 2008") AS parsed;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+
| parsed                 |
+------------------------+
| 2008-12-25T15:30:00Z   |
+------------------------+

TIMESTAMP_SECONDS

TIMESTAMP_SECONDS(int64_expression)

Description

Interprets int64_expression as the number of seconds since 1970-01-01 00:00:00 UTC.

Return Data Type

TIMESTAMP

Example

SELECT TIMESTAMP_SECONDS(1230219000) AS timestamp_value;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+
| timestamp_value        |
+------------------------+
| 2008-12-25T15:30:00Z   |
+------------------------+

TIMESTAMP_MILLIS

TIMESTAMP_MILLIS(int64_expression)

Description

Interprets int64_expression as the number of milliseconds since 1970-01-01 00:00:00 UTC.

Return Data Type

TIMESTAMP

Example

SELECT TIMESTAMP_MILLIS(1230219000000) AS timestamp_value;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+
| timestamp_value        |
+------------------------+
| 2008-12-25T15:30:00Z   |
+------------------------+

TIMESTAMP_MICROS

TIMESTAMP_MICROS(int64_expression)

Description

Interprets int64_expression as the number of microseconds since 1970-01-01 00:00:00 UTC.

Return Data Type

TIMESTAMP

Example

SELECT TIMESTAMP_MICROS(1230219000000000) AS timestamp_value;

-- Results may differ, depending upon the environment and time zone where this query was executed.
+------------------------+
| timestamp_value        |
+------------------------+
| 2008-12-25T15:30:00Z   |
+------------------------+

UNIX_SECONDS

UNIX_SECONDS(timestamp_expression)

Description

Returns the number of seconds since 1970-01-01 00:00:00 UTC. Truncates higher levels of precision.

Return Data Type

INT64

Example

SELECT UNIX_SECONDS(TIMESTAMP "2008-12-25 15:30:00+00") AS seconds;

+------------+
| seconds    |
+------------+
| 1230219000 |
+------------+

UNIX_MILLIS

UNIX_MILLIS(timestamp_expression)

Description

Returns the number of milliseconds since 1970-01-01 00:00:00 UTC. Truncates higher levels of precision.

Return Data Type

INT64

Example

SELECT UNIX_MILLIS(TIMESTAMP "2008-12-25 15:30:00+00") AS millis;

+---------------+
| millis        |
+---------------+
| 1230219000000 |
+---------------+

UNIX_MICROS

UNIX_MICROS(timestamp_expression)

Description

Returns the number of microseconds since 1970-01-01 00:00:00 UTC. Truncates higher levels of precision.

Return Data Type

INT64

Example

SELECT UNIX_MICROS(TIMESTAMP "2008-12-25 15:30:00+00") AS micros;

+------------------+
| micros           |
+------------------+
| 1230219000000000 |
+------------------+

PENDING_COMMIT_TIMESTAMP

PENDING_COMMIT_TIMESTAMP()

Description

Use the PENDING_COMMIT_TIMESTAMP() function in a DML INSERT or UPDATE statement to write the pending commit timestamp, that is, the commit timestamp of the write when it commits, into a column of type TIMESTAMP.

Cloud Spanner SQL selects the commit timestamp when the transaction commits. The PENDING_COMMIT_TIMESTAMP function may only be used as a value for INSERT or UPDATE of an appropriately typed column. It cannot be used in SELECT, or as the input to any other scalar expression.

Note: After you call the PENDING_COMMIT_TIMESTAMP() method, the table and any derived index is unreadable to any future SQL statements in the transaction. You must write commit timestamps as the last statement in a transaction to prevent the possibility of trying to read the table. If you try to read the table, then Cloud Spanner SQL returns an error.

Return Data Type

TIMESTAMP

Example

The following DML statement updates the LastUpdated column in the Singers table with the commit timestamp.

UPDATE Performances SET LastUpdated = PENDING_COMMIT_TIMESTAMP()
   WHERE SingerId=1 AND VenueId=2 AND EventDate="2015-10-21"

Supported format elements for TIMESTAMP

Unless otherwise noted, TIMESTAMP functions that use format strings support the following elements:

Format element	Description	Example
%A	The full weekday name.	Wednesday
%a	The abbreviated weekday name.	Wed
%B	The full month name.	January
%b or %h	The abbreviated month name.	Jan
%C	The century (a year divided by 100 and truncated to an integer) as a decimal number (00-99).	20
%c	The date and time representation in the format %a %b %e %T %Y.	Wed Jan 20 16:47:00 2021
%D	The date in the format %m/%d/%y.	01/20/21
%d	The day of the month as a decimal number (01-31).	20
%e	The day of month as a decimal number (1-31); single digits are preceded by a space.	20
%F	The date in the format %Y-%m-%d.	2021-01-20
%G	The ISO 8601 year with century as a decimal number. Each ISO year begins on the Monday before the first Thursday of the Gregorian calendar year. Note that %G and %Y may produce different results near Gregorian year boundaries, where the Gregorian year and ISO year can diverge.	2021
%g	The ISO 8601 year without century as a decimal number (00-99). Each ISO year begins on the Monday before the first Thursday of the Gregorian calendar year. Note that %g and %y may produce different results near Gregorian year boundaries, where the Gregorian year and ISO year can diverge.	21
%H	The hour (24-hour clock) as a decimal number (00-23).	16
%I	The hour (12-hour clock) as a decimal number (01-12).	04
%j	The day of the year as a decimal number (001-366).	020
%k	The hour (24-hour clock) as a decimal number (0-23); single digits are preceded by a space.	16
%l	The hour (12-hour clock) as a decimal number (1-12); single digits are preceded by a space.	11
%M	The minute as a decimal number (00-59).	47
%m	The month as a decimal number (01-12).	01
%n	A newline character.
%P	Either am or pm.	am
%p	Either AM or PM.	AM
%Q	The quarter as a decimal number (1-4).	1
%R	The time in the format %H:%M.	16:47
%r	The 12-hour clock time using AM/PM notation.	04:47:00 PM
%S	The second as a decimal number (00-60).	00
%s	The number of seconds since 1970-01-01 00:00:00 UTC. Always overrides all other format elements, independent of where %s appears in the string. If multiple %s elements appear, then the last one takes precedence.	1611179220
%T	The time in the format %H:%M:%S.	16:47:00
%t	A tab character.
%U	The week number of the year (Sunday as the first day of the week) as a decimal number (00-53).	03
%u	The weekday (Monday as the first day of the week) as a decimal number (1-7).	3
%V	The ISO 8601 week number of the year (Monday as the first day of the week) as a decimal number (01-53). If the week containing January 1 has four or more days in the new year, then it is week 1; otherwise it is week 53 of the previous year, and the next week is week 1.	03
%W	The week number of the year (Monday as the first day of the week) as a decimal number (00-53).	03
%w	The weekday (Sunday as the first day of the week) as a decimal number (0-6).	3
%X	The time representation in HH:MM:SS format.	16:47:00
%x	The date representation in MM/DD/YY format.	01/20/21
%Y	The year with century as a decimal number.	2021
%y	The year without century as a decimal number (00-99), with an optional leading zero. Can be mixed with %C. If %C is not specified, years 00-68 are 2000s, while years 69-99 are 1900s.	21
%Z	The time zone name.	UTC-5
%z	The offset from the Prime Meridian in the format +HHMM or -HHMM as appropriate, with positive values representing locations east of Greenwich.	-0500
%%	A single % character.	%
%Ez	RFC 3339-compatible numeric time zone (+HH:MM or -HH:MM).	-05:00
%E#S	Seconds with # digits of fractional precision.	00.000
%E*S	Seconds with full fractional precision (a literal '*').	00
%E4Y	Four-character years (0001 ... 9999). Note that %Y produces as many characters as it takes to fully render the year.	2021

Time zone definitions

Certain date and timestamp functions allow you to override the default time zone and specify a different one. You can specify a time zone by either supplying the time zone name (for example, America/Los_Angeles) or time zone offset from UTC (for example, -08).

If you choose to use a time zone offset, use this format:

(+|-)H[H][:M[M]]

The following timestamps are equivalent because the time zone offset for America/Los_Angeles is -08 for the specified date and time.

SELECT UNIX_MILLIS(TIMESTAMP "2008-12-25 15:30:00 America/Los_Angeles") as millis;

SELECT UNIX_MILLIS(TIMESTAMP "2008-12-25 15:30:00-08:00") as millis;

Net functions

NET.IP_FROM_STRING

NET.IP_FROM_STRING(addr_str)

Description

Converts an IPv4 or IPv6 address from text (STRING) format to binary (BYTES) format in network byte order.

This function supports the following formats for addr_str:

• IPv4: Dotted-quad format. For example, 10.1.2.3.
• IPv6: Colon-separated format. For example, 1234:5678:90ab:cdef:1234:5678:90ab:cdef. For more examples, see the IP Version 6 Addressing Architecture.

This function does not support CIDR notation, such as 10.1.2.3/32.

If this function receives a NULL input, it returns NULL. If the input is considered invalid, an OUT_OF_RANGE error occurs.

Return Data Type

BYTES

Example

SELECT
  addr_str, FORMAT("%T", NET.IP_FROM_STRING(addr_str)) AS ip_from_string
FROM UNNEST([
  '48.49.50.51',
  '::1',
  '3031:3233:3435:3637:3839:4041:4243:4445',
  '::ffff:192.0.2.128'
]) AS addr_str;

addr_str	ip_from_string
48.49.50.51	b"0123"
::1	b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01"
3031:3233:3435:3637:3839:4041:4243:4445	b"0123456789@ABCDE"
::ffff:192.0.2.128	b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xff\xff\xc0\x00\x02\x80"

NET.SAFE_IP_FROM_STRING

NET.SAFE_IP_FROM_STRING(addr_str)

Description

Similar to NET.IP_FROM_STRING, but returns NULL instead of throwing an error if the input is invalid.

Return Data Type

BYTES

Example

SELECT
  addr_str,
  FORMAT("%T", NET.SAFE_IP_FROM_STRING(addr_str)) AS safe_ip_from_string
FROM UNNEST([
  '48.49.50.51',
  '::1',
  '3031:3233:3435:3637:3839:4041:4243:4445',
  '::ffff:192.0.2.128',
  '48.49.50.51/32',
  '48.49.50',
  '::wxyz'
]) AS addr_str;

addr_str	safe_ip_from_string
48.49.50.51	b"0123"
::1	b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01"
3031:3233:3435:3637:3839:4041:4243:4445	b"0123456789@ABCDE"
::ffff:192.0.2.128	b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xff\xff\xc0\x00\x02\x80"
48.49.50.51/32	NULL
48.49.50	NULL
::wxyz	NULL

NET.IP_TO_STRING

NET.IP_TO_STRING(addr_bin)

Description Converts an IPv4 or IPv6 address from binary (BYTES) format in network byte order to text (STRING) format.

If the input is 4 bytes, this function returns an IPv4 address as a STRING. If the input is 16 bytes, it returns an IPv6 address as a STRING.

If this function receives a NULL input, it returns NULL. If the input has a length different from 4 or 16, an OUT_OF_RANGE error occurs.

Return Data Type

STRING

Example

SELECT FORMAT("%T", x) AS addr_bin, NET.IP_TO_STRING(x) AS ip_to_string
FROM UNNEST([
  b"0123",
  b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01",
  b"0123456789@ABCDE",
  b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xff\xff\xc0\x00\x02\x80"
]) AS x;

addr_bin	ip_to_string
b"0123"	48.49.50.51
b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01"	::1
b"0123456789@ABCDE"	3031:3233:3435:3637:3839:4041:4243:4445
b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xff\xff\xc0\x00\x02\x80"	::ffff:192.0.2.128

NET.IP_NET_MASK

NET.IP_NET_MASK(num_output_bytes, prefix_length)

Description

Returns a network mask: a byte sequence with length equal to num_output_bytes, where the first prefix_length bits are set to 1 and the other bits are set to 0. num_output_bytes and prefix_length are INT64. This function throws an error if num_output_bytes is not 4 (for IPv4) or 16 (for IPv6). It also throws an error if prefix_length is negative or greater than 8 * num_output_bytes.

Return Data Type

BYTES

Example

SELECT x, y, FORMAT("%T", NET.IP_NET_MASK(x, y)) AS ip_net_mask
FROM UNNEST([
  STRUCT(4 as x, 0 as y),
  (4, 20),
  (4, 32),
  (16, 0),
  (16, 1),
  (16, 128)
]);

x	y	ip_net_mask
4	0	b"\x00\x00\x00\x00"
4	20	b"\xff\xff\xf0\x00"
4	32	b"\xff\xff\xff\xff"
16	0	b"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"
16	1	b"\x80\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00"
16	128	b"\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff"

NET.IP_TRUNC

NET.IP_TRUNC(addr_bin, prefix_length)

Description Takes addr_bin, an IPv4 or IPv6 address in binary (BYTES) format in network byte order, and returns a subnet address in the same format. The result has the same length as addr_bin, where the first prefix_length bits are equal to those in addr_bin and the remaining bits are 0.

This function throws an error if LENGTH(addr_bin) is not 4 or 16, or if prefix_len is negative or greater than LENGTH(addr_bin) * 8.

Return Data Type

BYTES

Example

SELECT
  FORMAT("%T", x) as addr_bin, prefix_length,
  FORMAT("%T", NET.IP_TRUNC(x, prefix_length)) AS ip_trunc
FROM UNNEST([
  STRUCT(b"\xAA\xBB\xCC\xDD" as x, 0 as prefix_length),
  (b"\xAA\xBB\xCC\xDD", 11), (b"\xAA\xBB\xCC\xDD", 12),
  (b"\xAA\xBB\xCC\xDD", 24), (b"\xAA\xBB\xCC\xDD", 32),
  (b'0123456789@ABCDE', 80)
]);

addr_bin	prefix_length	ip_trunc
b"\xaa\xbb\xcc\xdd"	0	b"\x00\x00\x00\x00"
b"\xaa\xbb\xcc\xdd"	11	b"\xaa\xa0\x00\x00"
b"\xaa\xbb\xcc\xdd"	12	b"\xaa\xb0\x00\x00"
b"\xaa\xbb\xcc\xdd"	24	b"\xaa\xbb\xcc\x00"
b"\xaa\xbb\xcc\xdd"	32	b"\xaa\xbb\xcc\xdd"
b"0123456789@ABCDE"	80	b"0123456789\x00\x00\x00\x00\x00\x00"

NET.IPV4_FROM_INT64

NET.IPV4_FROM_INT64(integer_value)

Description

Converts an IPv4 address from integer format to binary (BYTES) format in network byte order. In the integer input, the least significant bit of the IP address is stored in the least significant bit of the integer, regardless of host or client architecture. For example, 1 means 0.0.0.1, and 0x1FF means 0.0.1.255.

This function checks that either all the most significant 32 bits are 0, or all the most significant 33 bits are 1 (sign-extended from a 32-bit integer). In other words, the input should be in the range [-0x80000000, 0xFFFFFFFF]; otherwise, this function throws an error.

This function does not support IPv6.

Return Data Type

BYTES

Example

SELECT x, x_hex, FORMAT("%T", NET.IPV4_FROM_INT64(x)) AS ipv4_from_int64
FROM (
  SELECT CAST(x_hex AS INT64) x, x_hex
  FROM UNNEST(["0x0", "0xABCDEF", "0xFFFFFFFF", "-0x1", "-0x2"]) AS x_hex
);

x	x_hex	ipv4_from_int64
0	0x0	b"\x00\x00\x00\x00"
11259375	0xABCDEF	b"\x00\xab\xcd\xef"
4294967295	0xFFFFFFFF	b"\xff\xff\xff\xff"
-1	-0x1	b"\xff\xff\xff\xff"
-2	-0x2	b"\xff\xff\xff\xfe"

NET.IPV4_TO_INT64

NET.IPV4_TO_INT64(addr_bin)

Description

Converts an IPv4 address from binary (BYTES) format in network byte order to integer format. In the integer output, the least significant bit of the IP address is stored in the least significant bit of the integer, regardless of host or client architecture. For example, 1 means 0.0.0.1, and 0x1FF means 0.0.1.255. The output is in the range [0, 0xFFFFFFFF].

If the input length is not 4, this function throws an error.

This function does not support IPv6.

Return Data Type

INT64

Example

SELECT
  FORMAT("%T", x) AS addr_bin,
  FORMAT("0x%X", NET.IPV4_TO_INT64(x)) AS ipv4_to_int64
FROM
UNNEST([b"\x00\x00\x00\x00", b"\x00\xab\xcd\xef", b"\xff\xff\xff\xff"]) AS x;

addr_bin	ipv4_to_int64
b"\x00\x00\x00\x00"	0x0
b"\x00\xab\xcd\xef"	0xABCDEF
b"\xff\xff\xff\xff"	0xFFFFFFFF

NET.HOST

NET.HOST(url)

Description

Takes a URL as a STRING and returns the host as a STRING. For best results, URL values should comply with the format as defined by RFC 3986. If the URL value does not comply with RFC 3986 formatting, this function makes a best effort to parse the input and return a relevant result. If the function cannot parse the input, it returns NULL.

Note: The function does not perform any normalization.

Return Data Type

STRING

Example

SELECT
  FORMAT("%T", input) AS input,
  description,
  FORMAT("%T", NET.HOST(input)) AS host,
  FORMAT("%T", NET.PUBLIC_SUFFIX(input)) AS suffix,
  FORMAT("%T", NET.REG_DOMAIN(input)) AS domain
FROM (
  SELECT "" AS input, "invalid input" AS description
  UNION ALL SELECT "http://abc.xyz", "standard URL"
  UNION ALL SELECT "//user:password@a.b:80/path?query",
                   "standard URL with relative scheme, port, path and query, but no public suffix"
  UNION ALL SELECT "https://[::1]:80", "standard URL with IPv6 host"
  UNION ALL SELECT "http://例子.卷筒纸.中国", "standard URL with internationalized domain name"
  UNION ALL SELECT "    www.Example.Co.UK    ",
                   "non-standard URL with spaces, upper case letters, and without scheme"
  UNION ALL SELECT "mailto:?to=&subject=&body=", "URI rather than URL--unsupported"
);

input	description	host	suffix	domain
""	invalid input	NULL	NULL	NULL
"http://abc.xyz"	standard URL	"abc.xyz"	"xyz"	"abc.xyz"
"//user:password@a.b:80/path?query"	standard URL with relative scheme, port, path and query, but no public suffix	"a.b"	NULL	NULL
"https://[::1]:80"	standard URL with IPv6 host	"[::1]"	NULL	NULL
"http://例子.卷筒纸.中国"	standard URL with internationalized domain name	"例子.卷筒纸.中国"	"中国"	"卷筒纸.中国"
"    www.Example.Co.UK    "	non-standard URL with spaces, upper case letters, and without scheme	"www.Example.Co.UK"	"Co.UK"	"Example.Co.UK"
"mailto:?to=&subject=&body="	URI rather than URL--unsupported	"mailto"	NULL	NULL

NET.PUBLIC_SUFFIX

NET.PUBLIC_SUFFIX(url)

Description

Takes a URL as a STRING and returns the public suffix (such as com, org, or net) as a STRING. A public suffix is an ICANN domain registered at publicsuffix.org. For best results, URL values should comply with the format as defined by RFC 3986. If the URL value does not comply with RFC 3986 formatting, this function makes a best effort to parse the input and return a relevant result.

This function returns NULL if any of the following is true:

• It cannot parse the host from the input;
• The parsed host contains adjacent dots in the middle (not leading or trailing);
• The parsed host does not contain any public suffix.

Before looking up the public suffix, this function temporarily normalizes the host by converting upper case English letters to lower case and encoding all non-ASCII characters with Punycode. The function then returns the public suffix as part of the original host instead of the normalized host.

Note: The function does not perform Unicode normalization.

Note: The public suffix data at publicsuffix.org also contains private domains. This function ignores the private domains.

Note: The public suffix data may change over time. Consequently, input that produces a NULL result now may produce a non-NULL value in the future.

Return Data Type

STRING

Example

SELECT
  FORMAT("%T", input) AS input,
  description,
  FORMAT("%T", NET.HOST(input)) AS host,
  FORMAT("%T", NET.PUBLIC_SUFFIX(input)) AS suffix,
  FORMAT("%T", NET.REG_DOMAIN(input)) AS domain
FROM (
  SELECT "" AS input, "invalid input" AS description
  UNION ALL SELECT "http://abc.xyz", "standard URL"
  UNION ALL SELECT "//user:password@a.b:80/path?query",
                   "standard URL with relative scheme, port, path and query, but no public suffix"
  UNION ALL SELECT "https://[::1]:80", "standard URL with IPv6 host"
  UNION ALL SELECT "http://例子.卷筒纸.中国", "standard URL with internationalized domain name"
  UNION ALL SELECT "    www.Example.Co.UK    ",
                   "non-standard URL with spaces, upper case letters, and without scheme"
  UNION ALL SELECT "mailto:?to=&subject=&body=", "URI rather than URL--unsupported"
);

input	description	host	suffix	domain
""	invalid input	NULL	NULL	NULL
"http://abc.xyz"	standard URL	"abc.xyz"	"xyz"	"abc.xyz"
"//user:password@a.b:80/path?query"	standard URL with relative scheme, port, path and query, but no public suffix	"a.b"	NULL	NULL
"https://[::1]:80"	standard URL with IPv6 host	"[::1]"	NULL	NULL
"http://例子.卷筒纸.中国"	standard URL with internationalized domain name	"例子.卷筒纸.中国"	"中国"	"卷筒纸.中国"
"    www.Example.Co.UK    "	non-standard URL with spaces, upper case letters, and without scheme	"www.Example.Co.UK"	"Co.UK"	"Example.Co.UK
"mailto:?to=&subject=&body="	URI rather than URL--unsupported	"mailto"	NULL	NULL

NET.REG_DOMAIN

NET.REG_DOMAIN(url)

Description

Takes a URL as a STRING and returns the registered or registerable domain (the public suffix plus one preceding label), as a STRING. For best results, URL values should comply with the format as defined by RFC 3986. If the URL value does not comply with RFC 3986 formatting, this function makes a best effort to parse the input and return a relevant result.

This function returns NULL if any of the following is true:

• It cannot parse the host from the input;
• The parsed host contains adjacent dots in the middle (not leading or trailing);
• The parsed host does not contain any public suffix;
• The parsed host contains only a public suffix without any preceding label.

Before looking up the public suffix, this function temporarily normalizes the host by converting upper case English letters to lowercase and encoding all non-ASCII characters with Punycode. The function then returns the registered or registerable domain as part of the original host instead of the normalized host.

Note: The function does not perform Unicode normalization.

Note: The public suffix data at publicsuffix.org also contains private domains. This function does not treat a private domain as a public suffix. For example, if "us.com" is a private domain in the public suffix data, NET.REG_DOMAIN("foo.us.com") returns "us.com" (the public suffix "com" plus the preceding label "us") rather than "foo.us.com" (the private domain "us.com" plus the preceding label "foo").

Note: The public suffix data may change over time. Consequently, input that produces a NULL result now may produce a non-NULL value in the future.

Return Data Type

STRING

Example

SELECT
  FORMAT("%T", input) AS input,
  description,
  FORMAT("%T", NET.HOST(input)) AS host,
  FORMAT("%T", NET.PUBLIC_SUFFIX(input)) AS suffix,
  FORMAT("%T", NET.REG_DOMAIN(input)) AS domain
FROM (
  SELECT "" AS input, "invalid input" AS description
  UNION ALL SELECT "http://abc.xyz", "standard URL"
  UNION ALL SELECT "//user:password@a.b:80/path?query",
                   "standard URL with relative scheme, port, path and query, but no public suffix"
  UNION ALL SELECT "https://[::1]:80", "standard URL with IPv6 host"
  UNION ALL SELECT "http://例子.卷筒纸.中国", "standard URL with internationalized domain name"
  UNION ALL SELECT "    www.Example.Co.UK    ",
                   "non-standard URL with spaces, upper case letters, and without scheme"
  UNION ALL SELECT "mailto:?to=&subject=&body=", "URI rather than URL--unsupported"
);

input	description	host	suffix	domain
""	invalid input	NULL	NULL	NULL
"http://abc.xyz"	standard URL	"abc.xyz"	"xyz"	"abc.xyz"
"//user:password@a.b:80/path?query"	standard URL with relative scheme, port, path and query, but no public suffix	"a.b"	NULL	NULL
"https://[::1]:80"	standard URL with IPv6 host	"[::1]"	NULL	NULL
"http://例子.卷筒纸.中国"	standard URL with internationalized domain name	"例子.卷筒纸.中国"	"中国"	"卷筒纸.中国"
"    www.Example.Co.UK    "	non-standard URL with spaces, upper case letters, and without scheme	"www.Example.Co.UK"	"Co.UK"	"Example.Co.UK"
"mailto:?to=&subject=&body="	URI rather than URL--unsupported	"mailto"	NULL	NULL

Operators

Operators are represented by special characters or keywords; they do not use function call syntax. An operator manipulates any number of data inputs, also called operands, and returns a result.

Common conventions:

• Unless otherwise specified, all operators return NULL when one of the operands is NULL.
• All operators will throw an error if the computation result overflows.
• For all floating point operations, +/-inf and NaN may only be returned if one of the operands is +/-inf or NaN. In other cases, an error is returned.

The following table lists all Cloud Spanner SQL operators from highest to lowest precedence, i.e. the order in which they will be evaluated within a statement.

Order of Precedence	Operator	Input Data Types	Name	Operator Arity
1	.	STRUCT	Member field access operator	Binary
	[ ]	ARRAY	Array position. Must be used with OFFSET or ORDINAL—see Array Functions .	Binary
2	+	All numeric types	Unary plus	Unary
	-	All numeric types	Unary minus	Unary
	~	Integer or BYTES	Bitwise not	Unary
3	*	All numeric types	Multiplication	Binary
	/	All numeric types	Division	Binary
	||	STRING, BYTES, or ARRAY<T>	Concatenation operator	Binary
4	+	All numeric types	Addition	Binary
	-	All numeric types	Subtraction	Binary
5	<<	Integer or BYTES	Bitwise left-shift	Binary
	>>	Integer or BYTES	Bitwise right-shift	Binary
6	&	Integer or BYTES	Bitwise and	Binary
7	^	Integer or BYTES	Bitwise xor	Binary
8	|	Integer or BYTES	Bitwise or	Binary
9 (Comparison Operators)	=	Any comparable type. See Data Types for a complete list.	Equal	Binary
	<	Any comparable type. See Data Types for a complete list.	Less than	Binary
	>	Any comparable type. See Data Types for a complete list.	Greater than	Binary
	<=	Any comparable type. See Data Types for a complete list.	Less than or equal to	Binary
	>=	Any comparable type. See Data Types for a complete list.	Greater than or equal to	Binary
	!=, <>	Any comparable type. See Data Types for a complete list.	Not equal	Binary
	[NOT] LIKE	STRING and byte	Value does [not] match the pattern specified	Binary
	[NOT] BETWEEN	Any comparable types. See Data Types for a complete list.	Value is [not] within the range specified	Binary
	[NOT] IN	Any comparable types. See Data Types for a complete list.	Value is [not] in the set of values specified	Binary
	IS [NOT] NULL	All	Value is [not] NULL	Unary
	IS [NOT] TRUE	BOOL	Value is [not] TRUE.	Unary
	IS [NOT] FALSE	BOOL	Value is [not] FALSE.	Unary
10	NOT	BOOL	Logical NOT	Unary
11	AND	BOOL	Logical AND	Binary
12	OR	BOOL	Logical OR	Binary

Operators with the same precedence are left associative. This means that those operators are grouped together starting from the left and moving right. For example, the expression:

x AND y AND z

is interpreted as

( ( x AND y ) AND z )

The expression:

x * y / z

is interpreted as:

( ( x * y ) / z )

All comparison operators have the same priority, but comparison operators are not associative. Therefore, parentheses are required in order to resolve ambiguity. For example:

(x < y) IS FALSE

Element access operators

Operator	Syntax	Input Data Types	Result Data Type	Description
.	expression.fieldname1...	STRUCT	Type T stored in fieldname1	Dot operator. Can be used to access nested fields, e.g.expression.fieldname1.fieldname2...
[ ]	array_expression [position_keyword (int_expression ) ]	See ARRAY Functions.	Type T stored in ARRAY	position_keyword is either OFFSET or ORDINAL. See Array Functions for the two functions that use this operator.

Arithmetic operators

All arithmetic operators accept input of numeric type T, and the result type has type T unless otherwise indicated in the description below:

Name	Syntax
Addition	X + Y
Subtraction	X - Y
Multiplication	X * Y
Division	X / Y
Unary Plus	+ X
Unary Minus	- X

NOTE: Divide by zero operations return an error. To return a different result, consider the IEEE_DIVIDE or SAFE_DIVIDE functions.

Result types for Addition, Subtraction and Multiplication:

INPUT	INT64	NUMERIC	FLOAT64
INT64	INT64	NUMERIC	FLOAT64
NUMERIC	NUMERIC	NUMERIC	FLOAT64
FLOAT64	FLOAT64	FLOAT64	FLOAT64

Result types for Division:

INPUT	INT64	NUMERIC	FLOAT64
INT64	FLOAT64	NUMERIC	FLOAT64
NUMERIC	NUMERIC	NUMERIC	FLOAT64
FLOAT64	FLOAT64	FLOAT64	FLOAT64

Result types for Unary Plus:

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	INT64	NUMERIC	FLOAT64

Result types for Unary Minus:

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	INT64	NUMERIC	FLOAT64

Bitwise operators

All bitwise operators return the same type and the same length as the first operand.

Name	Syntax	Input Data Type	Description
Bitwise not	~ X	Integer or BYTES	Performs logical negation on each bit, forming the ones' complement of the given binary value.
Bitwise or	X | Y	X: Integer or BYTES Y: Same type as X	Takes two bit patterns of equal length and performs the logical inclusive OR operation on each pair of the corresponding bits. This operator throws an error if X and Y are BYTES of different lengths.
Bitwise xor	X ^ Y	X: Integer or BYTES Y: Same type as X	Takes two bit patterns of equal length and performs the logical exclusive OR operation on each pair of the corresponding bits. This operator throws an error if X and Y are BYTES of different lengths.
Bitwise and	X & Y	X: Integer or BYTES Y: Same type as X	Takes two bit patterns of equal length and performs the logical AND operation on each pair of the corresponding bits. This operator throws an error if X and Y are BYTES of different lengths.
Left shift	X << Y	X: Integer or BYTES Y: INT64	Shifts the first operand X to the left. This operator returns 0 or a byte sequence of b'\x00' if the second operand Y is greater than or equal to the bit length of the first operand X (for example, 64 if X has the type INT64). This operator throws an error if Y is negative.
Right shift	X >> Y	X: Integer or BYTES Y: INT64	Shifts the first operand X to the right. This operator does not do sign bit extension with a signed type (i.e. it fills vacant bits on the left with 0). This operator returns 0 or a byte sequence of b'\x00' if the second operand Y is greater than or equal to the bit length of the first operand X (for example, 64 if X has the type INT64). This operator throws an error if Y is negative.

Logical operators

Cloud Spanner SQL supports the AND, OR, and NOT logical operators. Logical operators allow only BOOL or NULL input and use three-valued logic to produce a result. The result can be TRUE, FALSE, or NULL:

x	y	x AND y	x OR y
TRUE	TRUE	TRUE	TRUE
TRUE	FALSE	FALSE	TRUE
TRUE	NULL	NULL	TRUE
FALSE	TRUE	FALSE	TRUE
FALSE	FALSE	FALSE	FALSE
FALSE	NULL	FALSE	NULL
NULL	TRUE	NULL	TRUE
NULL	FALSE	FALSE	NULL
NULL	NULL	NULL	NULL

x	NOT x
TRUE	FALSE
FALSE	TRUE
NULL	NULL

Examples

The examples in this section reference a table called entry_table:

+-------+
| entry |
+-------+
| a     |
| b     |
| c     |
| NULL  |
+-------+

SELECT 'a' FROM entry_table WHERE entry = 'a'

-- a => 'a' = 'a' => TRUE
-- b => 'b' = 'a' => FALSE
-- NULL => NULL = 'a' => NULL

+-------+
| entry |
+-------+
| a     |
+-------+

SELECT entry FROM entry_table WHERE NOT (entry = 'a')

-- a => NOT('a' = 'a') => NOT(TRUE) => FALSE
-- b => NOT('b' = 'a') => NOT(FALSE) => TRUE
-- NULL => NOT(NULL = 'a') => NOT(NULL) => NULL

+-------+
| entry |
+-------+
| b     |
| c     |
+-------+

SELECT entry FROM entry_table WHERE entry IS NULL

-- a => 'a' IS NULL => FALSE
-- b => 'b' IS NULL => FALSE
-- NULL => NULL IS NULL => TRUE

+-------+
| entry |
+-------+
| NULL  |
+-------+

Comparison operators

Comparisons always return BOOL. Comparisons generally require both operands to be of the same type. If operands are of different types, and if Cloud Spanner SQL can convert the values of those types to a common type without loss of precision, Cloud Spanner SQL will generally coerce them to that common type for the comparison; Cloud Spanner SQL will generally coerce literals to the type of non-literals, where present. Comparable data types are defined in Data Types.

STRUCTs support only 4 comparison operators: equal (=), not equal (!= and <>), and IN.

The following rules apply when comparing these data types:

• FLOAT64: All comparisons with NaN return FALSE, except for != and <>, which return TRUE.
• BOOL: FALSE is less than TRUE.
• STRING: Strings are compared codepoint-by-codepoint, which means that canonically equivalent strings are only guaranteed to compare as equal if they have been normalized first.
• NULL: The convention holds here: any operation with a NULL input returns NULL.

Name	Syntax	Description
Less Than	X < Y	Returns TRUE if X is less than Y.
Less Than or Equal To	X <= Y	Returns TRUE if X is less than or equal to Y.
Greater Than	X > Y	Returns TRUE if X is greater than Y.
Greater Than or Equal To	X >= Y	Returns TRUE if X is greater than or equal to Y.
Equal	X = Y	Returns TRUE if X is equal to Y.
Not Equal	X != Y X <> Y	Returns TRUE if X is not equal to Y.
BETWEEN	X [NOT] BETWEEN Y AND Z	Returns TRUE if X is [not] within the range specified. The result of "X BETWEEN Y AND Z" is equivalent to "Y <= X AND X <= Z" but X is evaluated only once in the former.
LIKE	X [NOT] LIKE Y	Checks if the STRING in the first operand X matches a pattern specified by the second operand Y. Expressions can contain these characters: A percent sign "%" matches any number of characters or bytes An underscore "_" matches a single character or byte You can escape "\", "_", or "%" using two backslashes. For example, "\\%". If you are using raw strings, only a single backslash is required. For example, r"\%".
IN	Multiple - see below	Returns FALSE if the right operand is empty. Returns NULL if the left operand is NULL. Returns TRUE or NULL, never FALSE, if the right operand contains NULL. Arguments on either side of IN are general expressions. Neither operand is required to be a literal, although using a literal on the right is most common. X is evaluated only once.

When testing values that have a STRUCT data type for equality, it's possible that one or more fields are NULL. In such cases:

• If all non-NULL field values are equal, the comparison returns NULL.
• If any non-NULL field values are not equal, the comparison returns false.

The following table demonstrates how STRUCT data types are compared when they have fields that are NULL valued.

Struct1	Struct2	Struct1 = Struct2
STRUCT(1, NULL)	STRUCT(1, NULL)	NULL
STRUCT(1, NULL)	STRUCT(2, NULL)	FALSE
STRUCT(1,2)	STRUCT(1, NULL)	NULL

IN operators

The IN operator supports the following syntaxes:

x [NOT] IN (y, z, ... ) # Requires at least one element
x [NOT] IN (<subquery>)
x [NOT] IN UNNEST(<array expression>) # analysis error if the expression
                                      # does not return an ARRAY type.

Arguments on either side of the IN operator are general expressions. It is common to use literals on the right side expression; however, this is not required.

The semantics of:

x IN (y, z, ...)

are defined as equivalent to:

(x = y) OR (x = z) OR ...

and the subquery and array forms are defined similarly.

x NOT IN ...

is equivalent to:

NOT(x IN ...)

The UNNEST form treats an array scan like UNNEST in the FROM clause:

x [NOT] IN UNNEST(<array expression>)

This form is often used with ARRAY parameters. For example:

x IN UNNEST(@array_parameter)

Note: A NULL ARRAY will be treated equivalently to an empty ARRAY.

See the Arrays topic for more information on how to use this syntax.

When using the IN operator, the following semantics apply:

• IN with an empty right side expression is always FALSE
• IN with a NULL left side expression and a non-empty right side expression is always NULL
• IN with a NULL in the IN-list can only return TRUE or NULL, never FALSE
• NULL IN (NULL) returns NULL
• IN UNNEST(<NULL array>) returns FALSE (not NULL)
• NOT IN with a NULL in the IN-list can only return FALSE or NULL, never TRUE

IN can be used with multi-part keys by using the struct constructor syntax. For example:

(Key1, Key2) IN ( (12,34), (56,78) )
(Key1, Key2) IN ( SELECT (table.a, table.b) FROM table )

See the Struct Type section of the Data Types topic for more information on this syntax.

IS operators

IS operators return TRUE or FALSE for the condition they are testing. They never return NULL, even for NULL inputs, unlike the IS_INF and IS_NAN functions defined in Mathematical Functions. If NOT is present, the output BOOL value is inverted.

Function Syntax	Input Data Type	Result Data Type	Description
X IS [NOT] NULL	Any value type	BOOL	Returns TRUE if the operand X evaluates to NULL, and returns FALSE otherwise.
X IS [NOT] TRUE	BOOL	BOOL	Returns TRUE if the BOOL operand evaluates to TRUE. Returns FALSE otherwise.
X IS [NOT] FALSE	BOOL	BOOL	Returns TRUE if the BOOL operand evaluates to FALSE. Returns FALSE otherwise.

Concatenation operator

The concatenation operator combines multiple values into one.

Function Syntax	Input Data Type	Result Data Type
STRING || STRING [ || ... ]	STRING	STRING
BYTES || BYTES [ || ... ]	BYTES	STRING
ARRAY<T> || ARRAY<T> [ || ... ]	ARRAY<T>	ARRAY<T>

Conditional expressions

Conditional expressions impose constraints on the evaluation order of their inputs. In essence, they are evaluated left to right, with short-circuiting, and only evaluate the output value that was chosen. In contrast, all inputs to regular functions are evaluated before calling the function. Short-circuiting in conditional expressions can be exploited for error handling or performance tuning.

CASE expr

CASE expr
  WHEN expr_to_match THEN result
  [ ... ]
  [ ELSE else_result ]
END

Description

Compares expr to expr_to_match of each successive WHEN clause and returns the first result where this comparison returns true. The remaining WHEN clauses and else_result are not evaluated. If the expr = expr_to_match comparison returns false or NULL for all WHEN clauses, returns else_result if present; if not present, returns NULL.

expr and expr_to_match can be any type. They must be implicitly coercible to a common supertype; equality comparisons are done on coerced values. There may be multiple result types. result and else_result expressions must be coercible to a common supertype.

Return Data Type

Supertype of result[, ...] and else_result.

Example

WITH Numbers AS
 (SELECT 90 as A, 2 as B UNION ALL
  SELECT 50, 8 UNION ALL
  SELECT 60, 6 UNION ALL
  SELECT 50, 10)
SELECT A, B,
  CASE A
    WHEN 90 THEN 'red'
    WHEN 50 THEN 'blue'
    ELSE 'green'
  END
  AS result
FROM Numbers

+------------------+
| A  | B  | result |
+------------------+
| 90 | 2  | red    |
| 50 | 8  | blue   |
| 60 | 6  | green  |
| 50 | 10 | blue   |
+------------------+

CASE

CASE
  WHEN condition THEN result
  [ ... ]
  [ ELSE else_result ]
  END

Description

Evaluates the condition of each successive WHEN clause and returns the first result where the condition is true; any remaining WHEN clauses and else_result are not evaluated. If all conditions are false or NULL, returns else_result if present; if not present, returns NULL.

condition must be a boolean expression. There may be multiple result types. result and else_result expressions must be implicitly coercible to a common supertype.

Return Data Type

Supertype of result[, ...] and else_result.

Example

WITH Numbers AS
 (SELECT 90 as A, 2 as B UNION ALL
  SELECT 50, 6 UNION ALL
  SELECT 20, 10)
SELECT A, B,
  CASE
    WHEN A > 60 THEN 'red'
    WHEN A > 30 THEN 'blue'
    ELSE 'green'
  END
  AS result
FROM Numbers

+------------------+
| A  | B  | result |
+------------------+
| 90 | 2  | red    |
| 50 | 6  | blue   |
| 20 | 10 | green  |
+------------------+

COALESCE

COALESCE(expr[, ...])

Description

Returns the value of the first non-null expression. The remaining expressions are not evaluated. An input expression can be any type. There may be multiple input expression types. All input expressions must be implicitly coercible to a common supertype.

Return Data Type

Supertype of expr[, ...].

Examples

SELECT COALESCE('A', 'B', 'C') as result

+--------+
| result |
+--------+
| A      |
+--------+

SELECT COALESCE(NULL, 'B', 'C') as result

+--------+
| result |
+--------+
| B      |
+--------+

IF

IF(expr, true_result, else_result)

Description

If expr is true, returns true_result, else returns else_result. else_result is not evaluated if expr is true. true_result is not evaluated if expr is false or NULL.

expr must be a boolean expression. true_result and else_result must be coercible to a common supertype.

Return Data Type

Supertype of true_result and else_result.

Example

WITH Numbers AS
 (SELECT 10 as A, 20 as B UNION ALL
  SELECT 50, 30 UNION ALL
  SELECT 60, 60)
SELECT
  A, B,
  IF( A<B, 'true', 'false') as result
FROM Numbers

+------------------+
| A  | B  | result |
+------------------+
| 10 | 20 | true   |
| 50 | 30 | false  |
| 60 | 60 | false  |
+------------------+

IFNULL

IFNULL(expr, null_result)

Description

If expr is NULL, return null_result. Otherwise, return expr. If expr is not NULL, null_result is not evaluated.

expr and null_result can be any type and must be implicitly coercible to a common supertype. Synonym for COALESCE(expr, null_result).

Return Data Type

Supertype of expr or null_result.

Examples

SELECT IFNULL(NULL, 0) as result

+--------+
| result |
+--------+
| 0      |
+--------+

SELECT IFNULL(10, 0) as result

+--------+
| result |
+--------+
| 10     |
+--------+

NULLIF

NULLIF(expr, expr_to_match)

Description

Returns NULL if expr = expr_to_match is true, otherwise returns expr.

expr and expr_to_match must be implicitly coercible to a common supertype, and must be comparable.

NULLIF does not support STRUCT types.

Return Data Type

Supertype of expr and expr_to_match.

Example

SELECT NULLIF(0, 0) as result

+--------+
| result |
+--------+
| NULL   |
+--------+

SELECT NULLIF(10, 0) as result

+--------+
| result |
+--------+
| 10     |
+--------+

Expression subqueries

There are four types of expression subqueries, i.e. subqueries that are used as expressions. Expression subqueries return NULL or a single value, as opposed to a column or table, and must be surrounded by parentheses. For a fuller discussion of subqueries, see Subqueries.

Type of Subquery	Result Data Type	Description
Scalar	Any type T	A subquery in parentheses inside an expression (e.g. in the SELECT list or WHERE clause) is interpreted as a scalar subquery. The SELECT list in a scalar subquery must have exactly one field. If the subquery returns exactly one row, that single value is the scalar subquery result. If the subquery returns zero rows, the scalar subquery value is NULL. If the subquery returns more than one row, the query fails with a runtime error. When the subquery is written with SELECT AS STRUCT , it can include multiple columns, and the returned value is the constructed STRUCT. Selecting multiple columns without using SELECT AS is an error.
ARRAY	ARRAY	Can use SELECT AS STRUCT to build arrays of structs, and conversely, selecting multiple columns without using SELECT AS is an error. Returns an empty ARRAY if the subquery returns zero rows. Never returns a NULL ARRAY.
IN	BOOL	Occurs in an expression following the IN operator. The subquery must produce a single column whose type is equality-compatible with the expression on the left side of the IN operator. Returns FALSE if the subquery returns zero rows. x IN () is equivalent to x IN (value, value, ...) See the IN operator in Comparison Operators for full semantics.
EXISTS	BOOL	Returns TRUE if the subquery produced one or more rows. Returns FALSE if the subquery produces zero rows. Never returns NULL. Unlike all other expression subqueries, there are no rules about the column list. Any number of columns may be selected and it will not affect the query result.

Examples

The following examples of expression subqueries assume that t.int_array has type ARRAY<INT64>.

Type	Subquery	Result Data Type	Notes
Scalar	(SELECT COUNT(*) FROM t.int_array)	INT64
	(SELECT DISTINCT i FROM t.int_array i)	INT64, possibly runtime error
	(SELECT i FROM t.int_array i WHERE i=5)	INT64, possibly runtime error
	(SELECT ARRAY_AGG(i) FROM t.int_array i)	ARRAY	Uses the ARRAY_AGG aggregation function to return an ARRAY.
	(SELECT 'xxx' a)	STRING
	(SELECT 'xxx' a, 123 b)	Error	Returns an error because there is more than one column
	(SELECT AS STRUCT 'xxx' a, 123 b)	STRUCT
	(SELECT AS STRUCT 'xxx' a)	STRUCT
ARRAY	ARRAY(SELECT COUNT(*) FROM t.int_array)	ARRAY of size 1
	ARRAY(SELECT x FROM t)	ARRAY
	ARRAY(SELECT 5 a, COUNT(*) b FROM t.int_array)	Error	Returns an error because there is more than one column
	ARRAY(SELECT AS STRUCT 5 a, COUNT(*) b FROM t.int_array)	ARRAY
	ARRAY(SELECT AS STRUCT i FROM t.int_array i)	ARRAY	Makes an ARRAY of one-field STRUCTs
	ARRAY(SELECT AS STRUCT 1 x, 2, 3 x)	ARRAY	Returns an ARRAY of STRUCTs with anonymous or duplicate fields.
	ARRAY(SELECT AS TypeName SUM(x) a, SUM(y) b, SUM(z) c from t)	array<TypeName>	Selecting into a named type. Assume TypeName is a STRUCT type with fields a,b,c.
STRUCT	(SELECT AS STRUCT 1 x, 2, 3 x)	STRUCT	Constructs a STRUCT with anonymous or duplicate fields.
EXISTS	EXISTS(SELECT x,y,z FROM table WHERE y=z)	BOOL
	NOT EXISTS(SELECT x,y,z FROM table WHERE y=z)	BOOL
IN	x IN (SELECT y FROM table WHERE z)	BOOL
	x NOT IN (SELECT y FROM table WHERE z)	BOOL

Debugging functions

Cloud Spanner SQL supports the following debugging functions.

ERROR

ERROR(error_message)

Description

Returns an error. The error_message argument is a STRING.

Cloud Spanner SQL treats ERROR in the same way as any expression that may result in an error: there is no special guarantee of evaluation order.

Return Data Type

Cloud Spanner SQL infers the return type in context.

Examples

In the following example, the query returns an error message if the value of the row does not match one of two defined values.

SELECT
  CASE
    WHEN value = 'foo' THEN 'Value is foo.'
    WHEN value = 'bar' THEN 'Value is bar.'
    ELSE ERROR(concat('Found unexpected value: ', value))
  END AS new_value
FROM (
  SELECT 'foo' AS value UNION ALL
  SELECT 'bar' AS value UNION ALL
  SELECT 'baz' AS value);

Found unexpected value: baz

In the following example, Cloud Spanner SQL may evaluate the ERROR function before or after the x > 0 condition, because Cloud Spanner SQL generally provides no ordering guarantees between WHERE clause conditions and there are no special guarantees for the ERROR function.

SELECT *
FROM (SELECT -1 AS x)
WHERE x > 0 AND ERROR('Example error');

In the next example, the WHERE clause evaluates an IF condition, which ensures that Cloud Spanner SQL only evaluates the ERROR function if the condition fails.

SELECT *
FROM (SELECT -1 AS x)
WHERE IF(x > 0, true, ERROR(FORMAT('Error: x must be positive but is %t', x)));'

Error: x must be positive but is -1