12.20.1 Aggregate (GROUP BY) Function Descriptions

This section describes group (aggregate) functions that operate on sets of values.

Table 12.26 Aggregate (GROUP BY) Functions

Name	Description
`AVG()`	Return the average value of the argument
`BIT_AND()`	Return bitwise AND
`BIT_OR()`	Return bitwise OR
`BIT_XOR()`	Return bitwise XOR
`COUNT()`	Return a count of the number of rows returned
`COUNT(DISTINCT)`	Return the count of a number of different values
`GROUP_CONCAT()`	Return a concatenated string
`JSON_ARRAYAGG()`	Return result set as a single JSON array
`JSON_OBJECTAGG()`	Return result set as a single JSON object
`MAX()`	Return the maximum value
`MIN()`	Return the minimum value
`STD()`	Return the population standard deviation
`STDDEV()`	Return the population standard deviation
`STDDEV_POP()`	Return the population standard deviation
`STDDEV_SAMP()`	Return the sample standard deviation
`SUM()`	Return the sum
`VAR_POP()`	Return the population standard variance
`VAR_SAMP()`	Return the sample variance
`VARIANCE()`	Return the population standard variance

Unless otherwise stated, group functions ignore NULL values.

If you use a group function in a statement containing no GROUP BY clause, it is equivalent to grouping on all rows. For more information, see Section 12.20.3, “MySQL Handling of GROUP BY”.

Most aggregate functions can be used as window functions. Those that can be used this way are signified in their syntax description by [over_clause], representing an optional OVER clause. over_clause is described in Section 12.21.2, “Window Function Concepts and Syntax”, which also includes other information about window function usage.

For numeric arguments, the variance and standard deviation functions return a DOUBLE value. The SUM() and AVG() functions return a DECIMAL value for exact-value arguments (integer or DECIMAL), and a DOUBLE value for approximate-value arguments (FLOAT or DOUBLE).

The SUM() and AVG() aggregate functions do not work with temporal values. (They convert the values to numbers, losing everything after the first nonnumeric character.) To work around this problem, convert to numeric units, perform the aggregate operation, and convert back to a temporal value. Examples:

SELECT SEC_TO_TIME(SUM(TIME_TO_SEC(time_col))) FROM tbl_name;
SELECT FROM_DAYS(SUM(TO_DAYS(date_col))) FROM tbl_name;

Functions such as SUM() or AVG() that expect a numeric argument cast the argument to a number if necessary. For SET or ENUM values, the cast operation causes the underlying numeric value to be used.

The BIT_AND(), BIT_OR(), and BIT_XOR() aggregate functions perform bit operations. Prior to MySQL 8.0, bit functions and operators required BIGINT (64-bit integer) arguments and returned BIGINT values, so they had a maximum range of 64 bits. Non-BIGINT arguments were converted to BIGINT prior to performing the operation and truncation could occur.

In MySQL 8.0, bit functions and operators permit binary string type arguments (BINARY, VARBINARY, and the BLOB types) and return a value of like type, which enables them to take arguments and produce return values larger than 64 bits. For discussion about argument evaluation and result types for bit operations, see the introductory discussion in Section 12.12, “Bit Functions and Operators”.

AVG([DISTINCT] expr) [over_clause]
Returns the average value of expr. The DISTINCT option can be used to return the average of the distinct values of expr.
If there are no matching rows, AVG() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”; it cannot be used with DISTINCT.
1. mysql> SELECT student_name, AVG(test_score)
2. FROM student
3. GROUP BY student_name;
BIT_AND(expr) [over_clause]
Returns the bitwise AND of all bits in expr.
The result type depends on whether the function argument values are evaluated as binary strings or numbers:
- Binary-string evaluation occurs when the argument values have a binary string type, and the argument is not a hexadecimal literal, bit literal, or NULL literal. Numeric evaluation occurs otherwise, with argument value conversion to unsigned 64-bit integers as necessary.
- Binary-string evaluation produces a binary string of the same length as the argument values. If argument values have unequal lengths, an ER_INVALID_BITWISE_OPERANDS_SIZE error occurs. If the argument size exceeds 511 bytes, an ER_INVALID_BITWISE_AGGREGATE_OPERANDS_SIZE error occurs. Numeric evaluation produces an unsigned 64-bit integer.
If there are no matching rows, BIT_AND() returns a neutral value (all bits set to 1) having the same length as the argument values.
NULL values do not affect the result unless all values are NULL. In that case, the result is a neutral value having the same length as the argument values.
For more information discussion about argument evaluation and result types, see the introductory discussion in Section 12.12, “Bit Functions and Operators”.
As of MySQL 8.0.12, this function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
BIT_OR(expr) [over_clause]
Returns the bitwise OR of all bits in expr.
The result type depends on whether the function argument values are evaluated as binary strings or numbers:
- Binary-string evaluation occurs when the argument values have a binary string type, and the argument is not a hexadecimal literal, bit literal, or NULL literal. Numeric evaluation occurs otherwise, with argument value conversion to unsigned 64-bit integers as necessary.
- Binary-string evaluation produces a binary string of the same length as the argument values. If argument values have unequal lengths, an ER_INVALID_BITWISE_OPERANDS_SIZE error occurs. If the argument size exceeds 511 bytes, an ER_INVALID_BITWISE_AGGREGATE_OPERANDS_SIZE error occurs. Numeric evaluation produces an unsigned 64-bit integer.
If there are no matching rows, BIT_OR() returns a neutral value (all bits set to 0) having the same length as the argument values.
NULL values do not affect the result unless all values are NULL. In that case, the result is a neutral value having the same length as the argument values.
For more information discussion about argument evaluation and result types, see the introductory discussion in Section 12.12, “Bit Functions and Operators”.
As of MySQL 8.0.12, this function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
BIT_XOR(expr) [over_clause]
Returns the bitwise XOR of all bits in expr.
The result type depends on whether the function argument values are evaluated as binary strings or numbers:
- Binary-string evaluation occurs when the argument values have a binary string type, and the argument is not a hexadecimal literal, bit literal, or NULL literal. Numeric evaluation occurs otherwise, with argument value conversion to unsigned 64-bit integers as necessary.
- Binary-string evaluation produces a binary string of the same length as the argument values. If argument values have unequal lengths, an ER_INVALID_BITWISE_OPERANDS_SIZE error occurs. If the argument size exceeds 511 bytes, an ER_INVALID_BITWISE_AGGREGATE_OPERANDS_SIZE error occurs. Numeric evaluation produces an unsigned 64-bit integer.
If there are no matching rows, BIT_XOR() returns a neutral value (all bits set to 0) having the same length as the argument values.
NULL values do not affect the result unless all values are NULL. In that case, the result is a neutral value having the same length as the argument values.
For more information discussion about argument evaluation and result types, see the introductory discussion in Section 12.12, “Bit Functions and Operators”.
As of MySQL 8.0.12, this function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
COUNT(expr) [over_clause]
Returns a count of the number of non-NULL values of expr in the rows retrieved by a SELECT statement. The result is a BIGINT value.
If there are no matching rows, COUNT() returns 0.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
1. mysql> SELECT student.student_name,COUNT(*)
2. FROM student,course
3. WHERE student.student_id=course.student_id
4. GROUP BY student_name;
COUNT(*) is somewhat different in that it returns a count of the number of rows retrieved, whether or not they contain NULL values.
For transactional storage engines such as InnoDB, storing an exact row count is problematic. Multiple transactions may be occurring at the same time, each of which may affect the count.
InnoDB does not keep an internal count of rows in a table because concurrent transactions might “see” different numbers of rows at the same time. Consequently, SELECT COUNT(*) statements only count rows visible to the current transaction.
As of MySQL 8.0.13, SELECT COUNT(*) FROM tbl_name query performance for InnoDB tables is optimized for single-threaded workloads if there are no extra clauses such as WHERE or GROUP BY.
InnoDB processes SELECT COUNT(*) statements by traversing the smallest available secondary index unless an index or optimizer hint directs the optimizer to use a different index. If a secondary index is not present, InnoDB processes SELECT COUNT(*) statements by scanning the clustered index.
Processing SELECT COUNT(*) statements takes some time if index records are not entirely in the buffer pool. For a faster count, create a counter table and let your application update it according to the inserts and deletes it does. However, this method may not scale well in situations where thousands of concurrent transactions are initiating updates to the same counter table. If an approximate row count is sufficient, use SHOW TABLE STATUS.
InnoDB handles SELECT COUNT(*) and SELECT COUNT(1) operations in the same way. There is no performance difference.
For MyISAM tables, COUNT(*) is optimized to return very quickly if the SELECT retrieves from one table, no other columns are retrieved, and there is no WHERE clause. For example:
1. mysql> SELECT COUNT(*) FROM student;
This optimization only applies to MyISAM tables, because an exact row count is stored for this storage engine and can be accessed very quickly. COUNT(1) is only subject to the same optimization if the first column is defined as NOT NULL.
COUNT(DISTINCT expr,[expr...])
Returns a count of the number of rows with different non-NULL expr values.
If there are no matching rows, COUNT(DISTINCT) returns 0.
1. mysql> SELECT COUNT(DISTINCT results) FROM student;
In MySQL, you can obtain the number of distinct expression combinations that do not contain NULL by giving a list of expressions. In standard SQL, you would have to do a concatenation of all expressions inside COUNT(DISTINCT ...).
GROUP_CONCAT(expr)
This function returns a string result with the concatenated non-NULL values from a group. It returns NULL if there are no non-NULL values. The full syntax is as follows:
1. GROUP_CONCAT([DISTINCT] expr [,expr ...]
2. [ORDER BY {unsigned_integer | col_name | expr}
3. [ASC | DESC] [,col_name ...]]
4. [SEPARATOR str_val])
1. mysql> SELECT student_name,
2. GROUP_CONCAT(test_score)
3. FROM student
4. GROUP BY student_name;
Or:
1. mysql> SELECT student_name,
2. GROUP_CONCAT(DISTINCT test_score
3. ORDER BY test_score DESC SEPARATOR ' ')
4. FROM student
5. GROUP BY student_name;
In MySQL, you can get the concatenated values of expression combinations. To eliminate duplicate values, use the DISTINCT clause. To sort values in the result, use the ORDER BY clause. To sort in reverse order, add the DESC (descending) keyword to the name of the column you are sorting by in the ORDER BY clause. The default is ascending order; this may be specified explicitly using the ASC keyword. The default separator between values in a group is comma (,). To specify a separator explicitly, use SEPARATOR followed by the string literal value that should be inserted between group values. To eliminate the separator altogether, specify SEPARATOR ''.
The result is truncated to the maximum length that is given by the group_concat_max_len system variable, which has a default value of 1024. The value can be set higher, although the effective maximum length of the return value is constrained by the value of max_allowed_packet. The syntax to change the value of group_concat_max_len at runtime is as follows, where val is an unsigned integer:
1. SET [GLOBAL | SESSION] group_concat_max_len = val;
The return value is a nonbinary or binary string, depending on whether the arguments are nonbinary or binary strings. The result type is TEXT or BLOB unless group_concat_max_len is less than or equal to 512, in which case the result type is VARCHAR or VARBINARY.
See also CONCAT() and CONCAT_WS(): Section 12.5, “String Functions and Operators”.
JSON_ARRAYAGG(col_or_expr) [over_clause]
Aggregates a result set as a single JSON array whose elements consist of the rows. The order of elements in this array is undefined. The function acts on a column or an expression that evaluates to a single value. Returns NULL if the result contains no rows, or in the event of an error.
As of MySQL 8.0.14, this function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
1. mysql> SELECT o_id, attribute, value FROM t3;
2. +------+-----------+--------+
3. | o_id | attribute | value |
4. +------+-----------+--------+
5. | 2 | color | red |
6. | 2 | fabric | silk |
7. | 3 | color | green |
8. | 3 | shape | square |
9. +------+-----------+--------+
10. 4 rows in set (0.00 sec)
12. mysql> SELECT o_id, JSON_ARRAYAGG(attribute) AS attributes
13. FROM t3 GROUP BY o_id;
14. +------+---------------------+
15. | o_id | attributes |
16. +------+---------------------+
17. | 2 | ["color", "fabric"] |
18. | 3 | ["color", "shape"] |
19. +------+---------------------+
20. 2 rows in set (0.00 sec)
JSON_OBJECTAGG(key, value) [over_clause]
Takes two column names or expressions as arguments, the first of these being used as a key and the second as a value, and returns a JSON object containing key-value pairs. Returns NULL if the result contains no rows, or in the event of an error. An error occurs if any key name is NULL or the number of arguments is not equal to 2.
As of MySQL 8.0.14, this function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
1. mysql> SELECT o_id, attribute, value FROM t3;
2. +------+-----------+--------+
3. | o_id | attribute | value |
4. +------+-----------+--------+
5. | 2 | color | red |
6. | 2 | fabric | silk |
7. | 3 | color | green |
8. | 3 | shape | square |
9. +------+-----------+--------+
10. 4 rows in set (0.00 sec)
12. mysql> SELECT o_id, JSON_OBJECTAGG(attribute, value)
13. FROM t3 GROUP BY o_id;
14. +------+---------------------------------------+
15. | o_id | JSON_OBJECTAGG(attribute, value) |
16. +------+---------------------------------------+
17. | 2 | {"color": "red", "fabric": "silk"} |
18. | 3 | {"color": "green", "shape": "square"} |
19. +------+---------------------------------------+
20. 2 rows in set (0.00 sec)
Duplicate key handling

When the result of this function is normalized, values having duplicate keys are discarded. In keeping with the MySQL JSON data type specification that does not permit duplicate keys, only the last value encountered is used with that key in the returned object (“last duplicate key wins”). This means that the result of using this function on columns from a SELECT can depend on the order in which in the rows are returned, which is not guaranteed. When used as a window function, if there are duplicate keys within a frame, only the last value for the key is present in the result. The value for the key from last row in the frame is deterministic if the ORDER BY specification guarantees that the values have a specific order. If not, the resulting value of the key is nondeterministic. Consider the following:
1. mysql> CREATE TABLE t(c VARCHAR(10), i INT);
2. Query OK, 0 rows affected (0.03 sec)
4. mysql> INSERT INTO t VALUES
5. ('key', 3), ('key', 4), ('key', 5);
6. Query OK, 3 rows affected (0.01 sec)
7. Records: 3 Duplicates: 0 Warnings: 0
9. mysql> SELECT c, i FROM t;
10. +------+------+
11. | c | i |
12. +------+------+
13. | key | 3 |
14. | key | 4 |
15. | key | 5 |
16. +------+------+
17. 3 rows in set (0.00 sec)
19. mysql> SELECT JSON_OBJECTAGG(c, i) FROM t;
20. +----------------------+
21. | JSON_OBJECTAGG(c, i) |
22. +----------------------+
23. | {"key": 5} |
24. +----------------------+
25. 1 row in set (0.00 sec)
27. mysql> DELETE FROM t;
28. Query OK, 3 rows affected (0.00 sec)
30. mysql> INSERT INTO t VALUES
31. ('key', 3), ('key', 5), ('key', 4);
32. Query OK, 3 rows affected (0.00 sec)
33. Records: 3 Duplicates: 0 Warnings: 0
35. mysql> SELECT c, i FROM t;
36. +------+------+
37. | c | i |
38. +------+------+
39. | key | 3 |
40. | key | 5 |
41. | key | 4 |
42. +------+------+
43. 3 rows in set (0.00 sec)
45. mysql> SELECT JSON_OBJECTAGG(c, i) FROM t;
46. +----------------------+
47. | JSON_OBJECTAGG(c, i) |
48. +----------------------+
49. | {"key": 4} |
50. +----------------------+
51. 1 row in set (0.00 sec)
The key chosen from the last query is nondeterministic. If you prefer a particular key ordering, you can invoke JSON_OBJECTAGG() as a window function by including an OVER clause with an ORDER BY specification to impose a particular order on frame rows. The following examples show what happens with and without ORDER BY for a few different frame specifications.
Without ORDER BY, the frame is the entire partition:
1. mysql> SELECT JSON_OBJECTAGG(c, i)
2. OVER () AS json_object FROM t;
3. +-------------+
4. | json_object |
5. +-------------+
6. | {"key": 4} |
7. | {"key": 4} |
8. | {"key": 4} |
9. +-------------+
With ORDER BY, where the frame is the default of RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW (in both ascending and descending order):
1. mysql> SELECT JSON_OBJECTAGG(c, i)
2. OVER (ORDER BY i) AS json_object FROM t;
3. +-------------+
4. | json_object |
5. +-------------+
6. | {"key": 3} |
7. | {"key": 4} |
8. | {"key": 5} |
9. +-------------+
10. mysql> SELECT JSON_OBJECTAGG(c, i)
11. OVER (ORDER BY i DESC) AS json_object FROM t;
12. +-------------+
13. | json_object |
14. +-------------+
15. | {"key": 5} |
16. | {"key": 4} |
17. | {"key": 3} |
18. +-------------+
With ORDER BY and an explicit frame of the entire partition:
1. mysql> SELECT JSON_OBJECTAGG(c, i)
2. OVER (ORDER BY i
3. ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING)
4. AS json_object
5. FROM t;
6. +-------------+
7. | json_object |
8. +-------------+
9. | {"key": 5} |
10. | {"key": 5} |
11. | {"key": 5} |
12. +-------------+
To return a particular key value (such as the smallest or largest), include a LIMIT clause in the appropriate query. For example:
1. mysql> SELECT JSON_OBJECTAGG(c, i)
2. OVER (ORDER BY i) AS json_object FROM t LIMIT 1;
3. +-------------+
4. | json_object |
5. +-------------+
6. | {"key": 3} |
7. +-------------+
8. mysql> SELECT JSON_OBJECTAGG(c, i)
9. OVER (ORDER BY i DESC) AS json_object FROM t LIMIT 1;
10. +-------------+
11. | json_object |
12. +-------------+
13. | {"key": 5} |
14. +-------------+
See Normalization, Merging, and Autowrapping of JSON Values, for additional information and examples.
MAX([DISTINCT] expr) [over_clause]
Returns the maximum value of expr. MAX() may take a string argument; in such cases, it returns the maximum string value. See Section 8.3.1, “How MySQL Uses Indexes”. The DISTINCT keyword can be used to find the maximum of the distinct values of expr, however, this produces the same result as omitting DISTINCT.
If there are no matching rows, MAX() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”; it cannot be used with DISTINCT.
1. mysql> SELECT student_name, MIN(test_score), MAX(test_score)
2. FROM student
3. GROUP BY student_name;
For MAX(), MySQL currently compares ENUM and SET columns by their string value rather than by the string's relative position in the set. This differs from how ORDER BY compares them.
MIN([DISTINCT] expr) [over_clause]
Returns the minimum value of expr. MIN() may take a string argument; in such cases, it returns the minimum string value. See Section 8.3.1, “How MySQL Uses Indexes”. The DISTINCT keyword can be used to find the minimum of the distinct values of expr, however, this produces the same result as omitting DISTINCT.
If there are no matching rows, MIN() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”; it cannot be used with DISTINCT.
1. mysql> SELECT student_name, MIN(test_score), MAX(test_score)
2. FROM student
3. GROUP BY student_name;
For MIN(), MySQL currently compares ENUM and SET columns by their string value rather than by the string's relative position in the set. This differs from how ORDER BY compares them.
STD(expr) [over_clause]
Returns the population standard deviation of expr. STD() is a synonym for the standard SQL function STDDEV_POP(), provided as a MySQL extension.
If there are no matching rows, STD() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
STDDEV(expr) [over_clause]
Returns the population standard deviation of expr. STDDEV() is a synonym for the standard SQL function STDDEV_POP(), provided for compatibility with Oracle.
If there are no matching rows, STDDEV() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
STDDEV_POP(expr) [over_clause]
Returns the population standard deviation of expr (the square root of VAR_POP()). You can also use STD() or STDDEV(), which are equivalent but not standard SQL.
If there are no matching rows, STDDEV_POP() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
STDDEV_SAMP(expr) [over_clause]
Returns the sample standard deviation of expr (the square root of VAR_SAMP().
If there are no matching rows, STDDEV_SAMP() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
SUM([DISTINCT] expr) [over_clause]
Returns the sum of expr. If the return set has no rows, SUM() returns NULL. The DISTINCT keyword can be used to sum only the distinct values of expr.
If there are no matching rows, SUM() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”; it cannot be used with DISTINCT.
VAR_POP(expr) [over_clause]
Returns the population standard variance of expr. It considers rows as the whole population, not as a sample, so it has the number of rows as the denominator. You can also use VARIANCE(), which is equivalent but is not standard SQL.
If there are no matching rows, VAR_POP() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
VAR_SAMP(expr) [over_clause]
Returns the sample variance of expr. That is, the denominator is the number of rows minus one.
If there are no matching rows, VAR_SAMP() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.
VARIANCE(expr) [over_clause]
Returns the population standard variance of expr. VARIANCE() is a synonym for the standard SQL function VAR_POP(), provided as a MySQL extension.
If there are no matching rows, VARIANCE() returns NULL.
This function executes as a window function if over_clause is present. over_clause is as described in Section 12.21.2, “Window Function Concepts and Syntax”.

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Dokument erstellt 26/06/2006, zuletzt geändert 26/10/2018
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