Google Standard SQL expressions, functions, and operators

This page explains Google Standard SQL expressions, including functions and operators.

Google Standard SQL 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          |
+-------------+

Google Standard SQL 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 Google Standard 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 Google Standard 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 Google Standard 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

Google Standard 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

Google Standard SQL 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 Google Standard 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

You can use the COUNT function to return the number of rows in a table or the number of distinct values of an expression. For example:

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       |
+------------+---------+

If you want to count the number of distinct values of an expression for which a certain condition is satisfied, this is one recipe that you can use:

COUNT(DISTINCT IF(condition, expression, NULL))

Here, IF will return the value of expression if condition is TRUE, or NULL otherwise. The surrounding COUNT(DISTINCT ...) will ignore the NULL values, so it will count only the distinct values of expression for which condition is TRUE.

For example, to count the number of distinct positive values of x:

SELECT COUNT(DISTINCT IF(x > 0, x, NULL)) AS distinct_positive
FROM UNNEST([1, -2, 4, 1, -5, 4, 1, 3, -6, 1]) AS x;

+-------------------+
| distinct_positive |
+-------------------+
| 3                 |
+-------------------+

Or to count the number of distinct dates on which a certain kind of event occurred:

WITH Events AS (
  SELECT DATE '2021-01-01' AS event_date, 'SUCCESS' AS event_type
  UNION ALL
  SELECT DATE '2021-01-02' AS event_date, 'SUCCESS' AS event_type
  UNION ALL
  SELECT DATE '2021-01-02' AS event_date, 'FAILURE' AS event_type
  UNION ALL
  SELECT DATE '2021-01-03' AS event_date, 'SUCCESS' AS event_type
  UNION ALL
  SELECT DATE '2021-01-04' AS event_date, 'FAILURE' AS event_type
  UNION ALL
  SELECT DATE '2021-01-04' AS event_date, 'FAILURE' AS event_type
)
SELECT
  COUNT(DISTINCT IF(event_type = 'FAILURE', event_date, NULL))
    AS distinct_dates_with_failures
FROM Events;

+------------------------------+
| distinct_dates_with_failures |
+------------------------------+
| 2                            |
+------------------------------+

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.

Since expression must be a BOOL, the form COUNTIF(DISTINCT ...) is generally not useful: there is only one distinct value of TRUE. So COUNTIF(DISTINCT ...) will return 1 if expression evaluates to TRUE for one or more input rows, or 0 otherwise. Usually when someone wants to combine COUNTIF and DISTINCT, they want to count the number of distinct values of an expression for which a certain condition is satisfied. One recipe to achieve this is the following:

COUNT(DISTINCT IF(condition, expression, NULL))

Note that this uses COUNT, not COUNTIF; the IF part has been moved inside. To learn more, see the examples for COUNT.

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 orderable data type.

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 orderable data type.

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

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 only support orderable data types.

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       |
+---------+

Google Standard SQL statistical aggregate functions

Google Standard 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.

Google Standard SQL conversion functions

Google Standard 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 Google Standard 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

Google Standard 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

Google Standard 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

Google Standard 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

Google Standard 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

Google Standard 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

Google Standard 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

Google Standard 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

Google Standard 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

Google Standard 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

Google Standard 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 Google Standard 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_JSON	STRING	JSON
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
TO_JSON	All data types	JSON
TO_JSON_STRING	JSON	STRING

Google Standard SQL 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

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	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

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	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

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	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

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

INPUT	INT64	NUMERIC	FLOAT64
OUTPUT	FLOAT64	NUMERIC	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

Google Standard SQL 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;

Google Standard SQL 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

FORMAT(format_string_expression, data_type_expression[, ...])

Description

FORMAT formats a data type expression as a string.

• 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. In general, 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.
• data_type_expression: The value to format as a string. This can be any Google Standard SQL data type.

Return type

STRING

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!

Supported format specifiers

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

A format specifier adds formatting when casting a value to a string. It can optionally contain these sub-specifiers:

• Flags
• Width
• Precision

Additional information about format specifiers:

• %g and %G behavior
• %p and %P behavior
• %t and %T behavior
• Error conditions
• NULL argument handling
• Additional semantic rules

Format specifiers

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
p	Produces a one-line printable string representing JSON. See %p and %P behavior.	{"month":10,"year":2019}	JSON
P	Produces a multi-line printable string representing JSON. See %p and %P behavior.	{ "month": 10, "year": 2019 }	JSON
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 Google Standard 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.

%p and %P behavior

The %p format specifier produces a one-line printable string. The %P format specifier produces a multi-line printable string. You can use these format specifiers with the following data types:

Type	%p	%P
JSON	JSON input: JSON ' { "month": 10, "year": 2019 } ' Produces a one-line printable string representing JSON: {"month":10,"year":2019}	JSON input: JSON ' { "month": 10, "year": 2019 } ' Produces a multi-line printable string representing JSON: { "month": 10, "year": 2019 }

%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
JSON	one-line printable string representing JSON. {"name":"apple","stock":3}	one-line printable string representing a JSON literal. JSON '{"name":"apple","stock":3}'

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 Google Standard SQL casts these values to STRING. For %T, Google Standard 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. If you do not provide a normalization mode, NFC is used.

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.

Return type

STRING

Examples

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

+---+---+------------+
| 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 returns it as a normalized string with normalization.

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.

Case folding is used for the caseless comparison of strings. If you need to compare strings and case should not be considered, use NORMALIZE_AND_CASEFOLD, otherwise use NORMALIZE.

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.

Return type

STRING

Examples

SELECT
  a, b,
  NORMALIZE(a) = NORMALIZE(b) as normalized,
  NORMALIZE_AND_CASEFOLD(a) = NORMALIZE_AND_CASEFOLD(b) as normalized_with_case_folding
FROM (SELECT 'The red barn' AS a, 'The Red Barn' AS b);

+--------------+--------------+------------+------------------------------+
| a            | b            | normalized | normalized_with_case_folding |
+--------------+--------------+------------+------------------------------+
| The red barn | The Red Barn | false      | true                         |
+--------------+--------------+------------+------------------------------+

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: Google Standard 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: Google Standard 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: Google Standard 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.

To add a backslash in your regular expression, you must first escape it. For example, SELECT REGEXP_REPLACE('abc', 'b(.)', 'X\\1'); returns aXc. You can also use raw strings to remove one layer of escaping, for example SELECT REGEXP_REPLACE('abc', 'b(.)', r'X\1');.

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: Google Standard 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     |
+---------+

Google Standard SQL JSON functions

Google Standard SQL supports the following functions, which can retrieve and transform JSON data.

Function overview

JSON extraction functions

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 scalar value, such as a string, number, or boolean.	JSON-formatted STRING or JSON
JSON_VALUE	Extracts a scalar value. A scalar value can represent a string, number, or boolean. Removes the outermost quotes and unescapes the values. Returns a SQL NULL if a non-scalar value is selected.	STRING
JSON_QUERY_ARRAY	Extracts an array of JSON values, such as arrays or objects, and JSON scalar values, such as strings, numbers, and booleans.	ARRAY<JSON-formatted STRING> or ARRAY<JSON>
JSON_VALUE_ARRAY	Extracts an array of scalar values. A scalar value can represent a string, number, or boolean. Removes the outermost quotes and unescapes the values. Returns a SQL NULL if the selected value is not an array or not an array containing only scalar values.	ARRAY<STRING>

Other JSON functions

JSON function	Description	Return type
PARSE_JSON	Takes a JSON-formatted string and returns a JSON value.	JSON
TO_JSON	Takes a SQL value and returns a JSON value.	JSON
TO_JSON_STRING	Takes a JSON value and returns a JSON-formatted string representation of the value.	JSON-formatted STRING

JSON_QUERY

JSON_QUERY(json_string_expr, json_path)

JSON_QUERY(json_expr, json_path)

Description

Extracts a JSON value, such as an array or object, or a JSON scalar value, such as a string, number, 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"}]}}'
  

  Extracts a SQL NULL when a JSON-formatted string "null" is encountered. For example:

  SELECT JSON_QUERY("null", "$") -- Returns a SQL NULL
  

• json_expr: JSON. For example:

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

  Extracts a JSON null when a JSON null is encountered.

  SELECT JSON_QUERY(JSON 'null', "$") -- Returns a JSON 'null'
  

• json_path: The JSONPath. This identifies the data that you want to obtain from the input. If this optional parameter is not provided, then the JSONPath $ symbol is applied, which means that all of the data is analyzed.

  SELECT JSON_QUERY('{"a":null}', "$.a"); -- Returns a SQL NULL
  SELECT JSON_QUERY('{"a":null}', "$.b"); -- Returns a SQL NULL
  

  SELECT JSON_QUERY(JSON '{"a":null}', "$.a"); -- Returns a JSON 'null'
  SELECT JSON_QUERY(JSON '{"a":null}', "$.b"); -- Returns 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, numbers, and booleans, then use JSON_VALUE.

Return type

• json_string_expr: A JSON-formatted STRING
• json_expr: JSON

Examples

In the following example, JSON data is extracted and returned as JSON.

SELECT
  JSON_QUERY(JSON '{"class":{"students":[{"id":5},{"id":12}]}}', '$.class')
  AS json_data;

+-----------------------------------+
| json_data                         |
+-----------------------------------+
| {"students":[{"id":5},{"id":12}]} |
+-----------------------------------+

In the following examples, JSON data is extracted and returned as JSON-formatted strings.

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])

JSON_VALUE(json_expr[, json_path])

Description

Extracts a scalar value and then returns it as a string. A scalar value can represent a string, number, 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_expr: JSON. For example:

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

• json_path: The JSONPath. This identifies the data that you want to obtain from the input. If this optional parameter is not provided, then the JSONPath $ symbol is applied, which means that all of the data is analyzed.

  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, numbers, 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

In the following example, JSON data is extracted and returned as a scalar value.

SELECT JSON_VALUE(JSON '{ "name" : "Jakob", "age" : "6" }', '$.age') AS scalar_age;

+------------+
| scalar_age |
+------------+
| 6          |
+------------+

The following example compares how results are returned for the JSON_QUERY and JSON_VALUE functions.

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 |
+-------+

JSON_QUERY_ARRAY

JSON_QUERY_ARRAY(json_string_expr[, json_path])

JSON_QUERY_ARRAY(json_expr[, json_path])

Description

Extracts an array of JSON values, such as arrays or objects, and JSON scalar values, such as strings, numbers, and booleans. 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_expr: JSON. For example:

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

• json_path: The JSONPath. This identifies the data that you want to obtain from the input. If this optional parameter is not provided, then the JSONPath $ symbol is applied, which means that all of the data is analyzed.

Return type

• json_string_expr: ARRAY<JSON-formatted STRING>
• json_expr: ARRAY<JSON>

Examples

This extracts items in JSON to an array of JSON values:

SELECT JSON_QUERY_ARRAY(
  JSON '{"fruits":["apples","oranges","grapes"]}','$.fruits'
  ) AS json_array;

+---------------------------------+
| json_array                      |
+---------------------------------+
| ["apples", "oranges", "grapes"] |
+---------------------------------+

This extracts the items in a JSON-formatted string to a string array:

SELECT JSON_QUERY_ARRAY('[1,2,3]') AS string_array;

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

This extracts a string array and converts it to an integer array:

SELECT ARRAY(
  SELECT CAST(integer_element AS INT64)
  FROM UNNEST(
    JSON_QUERY_ARRAY('[1,2,3]','$')
  ) AS integer_element
) AS integer_array;

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

This extracts string values in a JSON-formatted string to an array:

-- Doesn't strip the double quotes
SELECT JSON_QUERY_ARRAY('["apples","oranges","grapes"]', '$') AS string_array;

+---------------------------------+
| string_array                    |
+---------------------------------+
| ["apples", "oranges", "grapes"] |
+---------------------------------+

-- Strips the double quotes
SELECT ARRAY(
  SELECT JSON_VALUE(string_element, '$')
  FROM UNNEST(JSON_QUERY_ARRAY('["apples","oranges","grapes"]','$')) AS string_element
) AS string_array;

+---------------------------+
| string_array              |
+---------------------------+
| [apples, oranges, grapes] |
+---------------------------+

This extracts only the items in the fruit property to an array:

SELECT JSON_QUERY_ARRAY(
  '{"fruit":[{"apples":5,"oranges":10},{"apples":2,"oranges":4}],"vegetables":[{"lettuce":7,"kale": 8}]}',
  '$.fruit'
) AS string_array;

+-------------------------------------------------------+
| string_array                                          |
+-------------------------------------------------------+
| [{"apples":5,"oranges":10}, {"apples":2,"oranges":4}] |
+-------------------------------------------------------+

These are equivalent:

SELECT JSON_QUERY_ARRAY('{"fruits":["apples","oranges","grapes"]}','$.fruits') AS string_array;

SELECT JSON_QUERY_ARRAY('{"fruits":["apples","oranges","grapes"]}','$."fruits"') AS string_array;

-- The queries above produce the following result:
+---------------------------------+
| string_array                    |
+---------------------------------+
| ["apples", "oranges", "grapes"] |
+---------------------------------+

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

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

+-----------+
| hello     |
+-----------+
| ["world"] |
+-----------+

The following examples show how invalid requests and empty arrays are handled:

-- An error is returned if you provide an invalid JSONPath.
SELECT JSON_QUERY_ARRAY('["foo","bar","baz"]','INVALID_JSONPath') AS result;

-- If the JSONPath does not refer to an array, then NULL is returned.
SELECT JSON_QUERY_ARRAY('{"a":"foo"}','$.a') AS result;

+--------+
| result |
+--------+
| NULL   |
+--------+

-- If a key that does not exist is specified, then the result is NULL.
SELECT JSON_QUERY_ARRAY('{"a":"foo"}','$.b') AS result;

+--------+
| result |
+--------+
| NULL   |
+--------+

-- Empty arrays in JSON-formatted strings are supported.
SELECT JSON_QUERY_ARRAY('{"a":"foo","b":[]}','$.b') AS result;

+--------+
| result |
+--------+
| []     |
+--------+

JSON_VALUE_ARRAY

JSON_VALUE_ARRAY(json_string_expr[, json_path])

JSON_VALUE_ARRAY(json_expr[, json_path])

Description

Extracts an array of scalar values and returns an array of string-formatted scalar values. A scalar value can represent a string, number, or boolean. If a JSON key uses invalid JSONPath characters, you can escape those characters using double quotes.

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

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

• json_expr: JSON. For example:

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

• json_path: The JSONPath. This identifies the data that you want to obtain from the input. If this optional parameter is not provided, then the JSONPath $ symbol is applied, which means that all of the data is analyzed.

Return type

ARRAY<STRING>

Examples

This extracts items in JSON to a string array:

SELECT JSON_VALUE_ARRAY(
  JSON '{"fruits":["apples","oranges","grapes"]}','$.fruits'
  ) AS string_array;

+---------------------------+
| string_array              |
+---------------------------+
| [apples, oranges, grapes] |
+---------------------------+

The following example compares how results are returned for the JSON_QUERY_ARRAY and JSON_VALUE_ARRAY functions.

SELECT JSON_QUERY_ARRAY('["apples","oranges"]') AS json_array,
       JSON_VALUE_ARRAY('["apples","oranges"]') AS string_array;

+-----------------------+-------------------+
| json_array            | string_array      |
+-----------------------+-------------------+
| ["apples", "oranges"] | [apples, oranges] |
+-----------------------+-------------------+

This extracts the items in a JSON-formatted string to a string array:

-- Strips the double quotes
SELECT JSON_VALUE_ARRAY('["foo","bar","baz"]','$') AS string_array;

+-----------------+
| string_array    |
+-----------------+
| [foo, bar, baz] |
+-----------------+

This extracts a string array and converts it to an integer array:

SELECT ARRAY(
  SELECT CAST(integer_element AS INT64)
  FROM UNNEST(
    JSON_VALUE_ARRAY('[1,2,3]','$')
  ) AS integer_element
) AS integer_array;

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

These are equivalent:

SELECT JSON_VALUE_ARRAY('{"fruits":["apples","oranges","grapes"]}','$.fruits') AS string_array;
SELECT JSON_VALUE_ARRAY('{"fruits":["apples","oranges","grapes"]}','$."fruits"') AS string_array;

-- The queries above produce the following result:
+---------------------------+
| string_array              |
+---------------------------+
| [apples, oranges, grapes] |
+---------------------------+

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

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

+---------+
| hello   |
+---------+
| [world] |
+---------+

The following examples explore how invalid requests and empty arrays are handled:

-- An error is thrown if you provide an invalid JSONPath.
SELECT JSON_VALUE_ARRAY('["foo","bar","baz"]','INVALID_JSONPath') AS result;

-- If the JSON-formatted string is invalid, then NULL is returned.
SELECT JSON_VALUE_ARRAY('}}','$') AS result;

+--------+
| result |
+--------+
| NULL   |
+--------+

-- If the JSON document is NULL, then NULL is returned.
SELECT JSON_VALUE_ARRAY(NULL,'$') AS result;

+--------+
| result |
+--------+
| NULL   |
+--------+

-- If a JSONPath does not match anything, then the output is NULL.
SELECT JSON_VALUE_ARRAY('{"a":["foo","bar","baz"]}','$.b') AS result;

+--------+
| result |
+--------+
| NULL   |
+--------+

-- If a JSONPath matches an object that is not an array, then the output is NULL.
SELECT JSON_VALUE_ARRAY('{"a":"foo"}','$') AS result;

+--------+
| result |
+--------+
| NULL   |
+--------+

-- If a JSONPath matches an array of non-scalar objects, then the output is NULL.
SELECT JSON_VALUE_ARRAY('{"a":[{"b":"foo","c":1},{"b":"bar","c":2}],"d":"baz"}','$.a') AS result;

+--------+
| result |
+--------+
| NULL   |
+--------+

-- If a JSONPath matches an array of mixed scalar and non-scalar objects,
-- then the output is NULL.
SELECT JSON_VALUE_ARRAY('{"a":[10, {"b": 20}]','$.a') AS result;

+--------+
| result |
+--------+
| NULL   |
+--------+

-- If a JSONPath matches an empty JSON array, then the output is an empty array instead of NULL.
SELECT JSON_VALUE_ARRAY('{"a":"foo","b":[]}','$.b') AS result;

+--------+
| result |
+--------+
| []     |
+--------+

-- If a JSONPath matches an array that contains scalar objects and a JSON null,
-- then the output is an array of the scalar objects and a SQL NULL.
SELECT JSON_VALUE_ARRAY('["world", null, 1]') AS result;

+------------------+
| result           |
+------------------+
| [world, NULL, 1] |
+------------------+

PARSE_JSON

PARSE_JSON(json_string_expr[, wide_number_mode=>{ 'exact' | 'round' } ])

Description

Takes a SQL STRING value and returns a SQL JSON value. The STRING value represents a string-formatted JSON value.

This function supports an optional mandatory-named argument called wide_number_mode that determines how to handle numbers that cannot be stored in a JSON value without the loss of precision. If used, wide_number_mode must include one of these values:

• exact: Only accept numbers that can be stored without loss of precision. If a number that cannot be stored without loss of precision is encountered, the function throws an error.
• round: If a number that cannot be stored without loss of precision is encountered, attempt to round it to a number that can be stored without loss of precision. If the number cannot be rounded, the function throws an error.

If wide_number_mode is not used, the function implicitly includes wide_number_mode=>'exact'. If a number appears in a JSON object or array, the wide_number_mode argument is applied to the number in the object or array.

Numbers from the following domains can be stored in JSON without loss of precision:

• 64-bit signed/unsigned integers, such as INT64
• FLOAT64

Return type

JSON

Examples

In the following example, a JSON-formatted string is converted to JSON.

SELECT PARSE_JSON('{"coordinates":[10,20],"id":1}') AS json_data;

+--------------------------------+
| json_data                      |
+--------------------------------+
| {"coordinates":[10,20],"id":1} |
+--------------------------------+

The following queries fail because:

• The number that was passed in cannot be stored without loss of precision.
• wide_number_mode=>'exact' is used implicitly in the first query and explicitly in the second query.

SELECT PARSE_JSON('{"id":922337203685477580701}') AS json_data; -- fails
SELECT PARSE_JSON('{"id":922337203685477580701}', wide_number_mode=>'exact') AS json_data; -- fails

The following query rounds the number to a number that can be stored in JSON.

SELECT PARSE_JSON('{"id":922337203685477580701}', wide_number_mode=>'round') AS json_data;

+--------------------------------+
| json_data                      |
+--------------------------------+
| {"id":9.223372036854776e+20}   |
+--------------------------------+

TO_JSON

TO_JSON(sql_value[, stringify_wide_numbers=>{ TRUE | FALSE } ])

Description

Takes a SQL value and returns a JSON value. The value must be a supported Google Standard SQL data type. You can review the Google Standard SQL data types that this function supports and their JSON encodings here.

This function supports an optional mandatory-named argument called stringify_wide_numbers.

• If this argument is TRUE, numeric values outside of the FLOAT64 type domain are encoded as strings.
• If this argument is not used or is FALSE, numeric values outside of the FLOAT64 type domain are not encoded as strings, but are stored as JSON numbers. If a numerical value cannot be stored in JSON without loss of precision, an error is thrown.

The following numerical data types are affected by the stringify_wide_numbers argument:

• INT64
• NUMERIC

If one of these numerical data types appears in a container data type such as an ARRAY or STRUCT, the stringify_wide_numbers argument is applied to the numerical data types in the container data type.

Return type

A JSON value

Examples

In the following example, the query converts rows in a table to JSON values.

With CoordinatesTable AS (
    (SELECT 1 AS id, [10,20] AS coordinates) UNION ALL
    (SELECT 2 AS id, [30,40] AS coordinates) UNION ALL
    (SELECT 3 AS id, [50,60] AS coordinates))
SELECT TO_JSON(t) AS json_objects
FROM CoordinatesTable AS t;

+--------------------------------+
| json_objects                   |
+--------------------------------+
| {"coordinates":[10,20],"id":1} |
| {"coordinates":[30,40],"id":2} |
| {"coordinates":[50,60],"id":3} |
+--------------------------------+

In the following example, the query returns a large numerical value as a JSON string.

SELECT TO_JSON(9007199254740993, stringify_wide_numbers=>TRUE) as stringify_on

+--------------------+
| stringify_on       |
+--------------------+
| "9007199254740993" |
+--------------------+

In the following example, both queries return a large numerical value as a JSON number.

SELECT TO_JSON(9007199254740993, stringify_wide_numbers=>FALSE) as stringify_off
SELECT TO_JSON(9007199254740993) as stringify_off

+------------------+
| stringify_off    |
+------------------+
| 9007199254740993 |
+------------------+

In the following example, only large numeric values are converted to JSON strings.

With T1 AS (
  (SELECT 9007199254740993 AS id) UNION ALL
  (SELECT 2 AS id))
SELECT TO_JSON(t, stringify_wide_numbers=>TRUE) AS json_objects
FROM T1 AS t;

+---------------------------+
| json_objects              |
+---------------------------+
| {"id":"9007199254740993"} |
| {"id":2}                  |
+---------------------------+

In this example, the values 9007199254740993 (INT64) and 2.1 (FLOAT64) are converted to the common supertype FLOAT64, which is not affected by the stringify_wide_numbers argument.

With T1 AS (
  (SELECT 9007199254740993 AS id) UNION ALL
  (SELECT 2.1 AS id))
SELECT TO_JSON(t, stringify_wide_numbers=>TRUE) AS json_objects
FROM T1 AS t;

+------------------------------+
| json_objects                 |
+------------------------------+
| {"id":9.007199254740992e+15} |
| {"id":2.1}                   |
+------------------------------+

TO_JSON_STRING

TO_JSON_STRING(json_expr)

Description

Takes a JSON expression and returns a JSON-formatted string representation of the value from the expression.

Return type

A JSON-formatted STRING

Example

Convert JSON to a JSON-formatted string.

SELECT TO_JSON_STRING(JSON '{"id":1, "coordinates":[10,20]}') AS json_string

+--------------------------------+
| json_string                    |
+--------------------------------+
| {"coordinates":[10,20],"id":1} |
+--------------------------------+

JSON encodings

The following table includes common encodings that are used when a SQL value is encoded as JSON value with the TO_JSON function.

From SQL	To JSON	Examples
NULL	null	SQL input: NULL JSON output: null
BOOL	boolean	SQL input: TRUE JSON output: true SQL input: FALSE JSON output: false
INT64	number or string If the stringify_wide_numbers argument is TRUE and the value is outside of the FLOAT64 type domain, the value is encoded as a string. If the value cannot be stored in JSON without loss of precision, the function fails. Otherwise, the value is encoded as a number. If the stringify_wide_numbers is not used or is FALSE, numeric values outside of the `FLOAT64` type domain are not encoded as strings, but are stored as JSON numbers. If a numerical value cannot be stored in JSON without loss of precision, an error is thrown.	SQL input: 9007199254740992 JSON output: 9007199254740992 SQL input: 9007199254740993 JSON output: 9007199254740993 SQL input with stringify_wide_numbers=>TRUE: 9007199254740992 JSON output: 9007199254740992 SQL input with stringify_wide_numbers=>TRUE: 9007199254740993 JSON output: "9007199254740993"
NUMERIC	number or string If the stringify_wide_numbers argument is TRUE and the value is outside of the FLOAT64 type domain, it is encoded as a string. Otherwise, it's encoded as a number.	SQL input: -1 JSON output: -1 SQL input: 0 JSON output: 0 SQL input: 9007199254740993 JSON output: 9007199254740993 SQL input: 123.56 JSON output: 123.56 SQL input with stringify_wide_numbers=>TRUE: 9007199254740993 JSON output: "9007199254740993" SQL input with stringify_wide_numbers=>TRUE: 123.56 JSON output: 123.56
FLOAT64	number or string +/-inf and NaN are encoded as Infinity, -Infinity, and NaN. Otherwise, this value is encoded as a number.	SQL input: 1.0 JSON output: 1 SQL input: 9007199254740993 JSON output: 9007199254740993 SQL input: "+inf" JSON output: "Infinity" SQL input: "-inf" JSON output: "-Infinity" SQL input: "NaN" JSON output: "NaN"
STRING	string Encoded as a string, escaped according to the JSON standard. Specifically, ", \, and the control characters from U+0000 to U+001F are escaped.	SQL input: "abc" JSON output: "abc" SQL input: "\"abc\"" JSON output: "\"abc\""
BYTES	string Uses RFC 4648 Base64 data encoding.	SQL input: b"Google" JSON output: "R29vZ2xl"
DATE	string	SQL input: DATE '2017-03-06' JSON output: "2017-03-06"
TIMESTAMP	string Encoded as ISO 8601 date and time, where T separates the date and time and Z (Zulu/UTC) represents the time zone.	SQL input: TIMESTAMP '2017-03-06 12:34:56.789012' JSON output: "2017-03-06T12:34:56.789012Z"
ARRAY	array Can contain zero or more elements.	SQL input: ["red", "blue", "green"] JSON output: ["red", "blue", "green"] SQL input:[1, 2, 3] JSON output:[1, 2, 3]
STRUCT	object The object can contain zero or more key/value pairs. Each value is formatted according to its type. For TO_JSON, a field is included in the output string and any duplicates of this field are omitted. Anonymous fields are represented with "". Invalid UTF-8 field names might result in unparseable JSON. String values are escaped according to the JSON standard. Specifically, ", \, and the control characters from U+0000 to U+001F are escaped.	SQL input: STRUCT(12 AS purchases, TRUE AS inStock) JSON output: {"inStock": true,"purchases":12}

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.

Google Standard SQL 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: Google Standard 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[, ...])

Description

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

The function returns NULL if any input argument is NULL.

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           |
+----------------------------------+---------------+----------------+

Google Standard SQL date functions

Google Standard 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 resulting date is the last date of that 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 resulting date is the last date of that 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 insensitivity. 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.
%Q	The quarter as a decimal number (1-4).	1
%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

Google Standard SQL timestamp functions

Google Standard 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: Returns values in the range [1,7] with Sunday as the first day of 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 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;

-- Display of 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;

-- Display of 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;

-- Display of 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;

-- Display of 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;

-- Display of 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;

-- Display of 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;

-- Display of 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 TIMEST