All (transact-sql)all (transact-sql)

SQL References

SQL Keywords
ADD
ADD CONSTRAINT
ALTER
ALTER COLUMN
ALTER TABLE
ALL
AND
ANY
AS
ASC
BACKUP DATABASE
BETWEEN
CASE
CHECK
COLUMN
CONSTRAINT
CREATE
CREATE DATABASE
CREATE INDEX
CREATE OR REPLACE VIEW
CREATE TABLE
CREATE PROCEDURE
CREATE UNIQUE INDEX
CREATE VIEW
DATABASE
DEFAULT
DELETE
DESC
DISTINCT
DROP
DROP COLUMN
DROP CONSTRAINT
DROP DATABASE
DROP DEFAULT
DROP INDEX
DROP TABLE
DROP VIEW
EXEC
EXISTS
FOREIGN KEY
FROM
FULL OUTER JOIN
GROUP BY
HAVING
IN
INDEX
INNER JOIN
INSERT INTO
INSERT INTO SELECT
IS NULL
IS NOT NULL
JOIN
LEFT JOIN
LIKE
LIMIT
NOT
NOT NULL
OR
ORDER BY
OUTER JOIN
PRIMARY KEY
PROCEDURE
RIGHT JOIN
ROWNUM
SELECT
SELECT DISTINCT
SELECT INTO
SELECT TOP
SET
TABLE
TOP
TRUNCATE TABLE
UNION
UNION ALL
UNIQUE
UPDATE
VALUES
VIEW
WHERE

MySQL Functions
String Functions
ASCII
CHAR_LENGTH
CHARACTER_LENGTH
CONCAT
CONCAT_WS
FIELD
FIND_IN_SET
FORMAT
INSERT
INSTR
LCASE
LEFT
LENGTH
LOCATE
LOWER
LPAD
LTRIM
MID
POSITION
REPEAT
REPLACE
REVERSE
RIGHT
RPAD
RTRIM
SPACE
STRCMP
SUBSTR
SUBSTRING
SUBSTRING_INDEX
TRIM
UCASE
UPPER

Numeric Functions
ABS
ACOS
ASIN
ATAN
ATAN2
AVG
CEIL
CEILING
COS
COT
COUNT
DEGREES
DIV
EXP
FLOOR
GREATEST
LEAST
LN
LOG
LOG10
LOG2
MAX
MIN
MOD
PI
POW
POWER
RADIANS
RAND
ROUND
SIGN
SIN
SQRT
SUM
TAN
TRUNCATE

Date Functions
ADDDATE
ADDTIME
CURDATE
CURRENT_DATE
CURRENT_TIME
CURRENT_TIMESTAMP
CURTIME
DATE
DATEDIFF
DATE_ADD
DATE_FORMAT
DATE_SUB
DAY
DAYNAME
DAYOFMONTH
DAYOFWEEK
DAYOFYEAR
EXTRACT
FROM_DAYS
HOUR
LAST_DAY
LOCALTIME
LOCALTIMESTAMP
MAKEDATE
MAKETIME
MICROSECOND
MINUTE
MONTH
MONTHNAME
NOW
PERIOD_ADD
PERIOD_DIFF
QUARTER
SECOND
SEC_TO_TIME
STR_TO_DATE
SUBDATE
SUBTIME
SYSDATE
TIME
TIME_FORMAT
TIME_TO_SEC
TIMEDIFF
TIMESTAMP
TO_DAYS
WEEK
WEEKDAY
WEEKOFYEAR
YEAR
YEARWEEK

Advanced Functions
BIN
BINARY
CASE
CAST
COALESCE
CONNECTION_ID
CONV
CONVERT
CURRENT_USER
DATABASE
IF
IFNULL
ISNULL
LAST_INSERT_ID
NULLIF
SESSION_USER
SYSTEM_USER
USER
VERSION

SQL Server Functions
String Functions
ASCII
CHAR
CHARINDEX
CONCAT
Concat with +
CONCAT_WS
DATALENGTH
DIFFERENCE
FORMAT
LEFT
LEN
LOWER
LTRIM
NCHAR
PATINDEX
QUOTENAME
REPLACE
REPLICATE
REVERSE
RIGHT
RTRIM
SOUNDEX
SPACE
STR
STUFF
SUBSTRING
TRANSLATE
TRIM
UNICODE
UPPER

Numeric Functions
ABS
ACOS
ASIN
ATAN
ATN2
AVG
CEILING
COUNT
COS
COT
DEGREES
EXP
FLOOR
LOG
LOG10
MAX
MIN
PI
POWER
RADIANS
RAND
ROUND
SIGN
SIN
SQRT
SQUARE
SUM
TAN

Date Functions
CURRENT_TIMESTAMP
DATEADD
DATEDIFF
DATEFROMPARTS
DATENAME
DATEPART
DAY
GETDATE
GETUTCDATE
ISDATE
MONTH
SYSDATETIME
YEAR

Advanced Functions
CAST
COALESCE
CONVERT
CURRENT_USER
IIF
ISNULL
ISNUMERIC
NULLIF
SESSION_USER
SESSIONPROPERTY
SYSTEM_USER
USER_NAME

MS Access Functions
String Functions
Asc
Chr
Concat with &
CurDir
Format
InStr
InstrRev
LCase
Left
Len
LTrim
Mid
Replace
Right
RTrim
Space
Split
Str
StrComp
StrConv
StrReverse
Trim
UCase

Numeric Functions
Abs
Atn
Avg
Cos
Count
Exp
Fix
Format
Int
Max
Min
Randomize
Rnd
Round
Sgn
Sqr
Sum
Val

Date Functions
Date
DateAdd
DateDiff
DatePart
DateSerial
DateValue
Day
Format
Hour
Minute
Month
MonthName
Now
Second
Time
TimeSerial
TimeValue
Weekday
WeekdayName
Year

Other Functions
CurrentUser
Environ
IsDate
IsNull
IsNumeric

SQL OperatorsSQL Data TypesSQL Quick Ref

Пример SQL FULL OUTER JOIN

Следующая инструкция SQL выбирает всех клиентов и все заказы:

SELECT Customers.CustomerName, Orders.OrderID
FROM Customers
FULL OUTER JOIN Orders
ON Customers.CustomerID=Orders.CustomerID
ORDER BY Customers.CustomerName;

Выбор из результирующего набора может выглядеть следующим образом:

Примечание: Ключевое слово FULL OUTER JOIN возвращает все совпадающие записи из обеих таблиц,
независимо от того, совпадает ли другая таблица или нет.
Таким образом, если есть строки в разделе «Customers», которые не имеют совпадений в разделе «Orders»,
или если есть строки в разделе «Orders», которые не имеют совпадений в разделе «Customers», то эти строки также будут перечислены.

SQL Справочник

SQL Ключевые слова
ADD
ADD CONSTRAINT
ALTER
ALTER COLUMN
ALTER TABLE
ALL
AND
ANY
AS
ASC
BACKUP DATABASE
BETWEEN
CASE
CHECK
COLUMN
CONSTRAINT
CREATE
CREATE DATABASE
CREATE INDEX
CREATE OR REPLACE VIEW
CREATE TABLE
CREATE PROCEDURE
CREATE UNIQUE INDEX
CREATE VIEW
DATABASE
DEFAULT
DELETE
DESC
DISTINCT
DROP
DROP COLUMN
DROP CONSTRAINT
DROP DATABASE
DROP DEFAULT
DROP INDEX
DROP TABLE
DROP VIEW
EXEC
EXISTS
FOREIGN KEY
FROM
FULL OUTER JOIN
GROUP BY
HAVING
IN
INDEX
INNER JOIN
INSERT INTO
INSERT INTO SELECT
IS NULL
IS NOT NULL
JOIN
LEFT JOIN
LIKE
LIMIT
NOT
NOT NULL
OR
ORDER BY
OUTER JOIN
PRIMARY KEY
PROCEDURE
RIGHT JOIN
ROWNUM
SELECT
SELECT DISTINCT
SELECT INTO
SELECT TOP
SET
TABLE
TOP
TRUNCATE TABLE
UNION
UNION ALL
UNIQUE
UPDATE
VALUES
VIEW
WHERE

MySQL Функции
Функции строк
ASCII
CHAR_LENGTH
CHARACTER_LENGTH
CONCAT
CONCAT_WS
FIELD
FIND_IN_SET
FORMAT
INSERT
INSTR
LCASE
LEFT
LENGTH
LOCATE
LOWER
LPAD
LTRIM
MID
POSITION
REPEAT
REPLACE
REVERSE
RIGHT
RPAD
RTRIM
SPACE
STRCMP
SUBSTR
SUBSTRING
SUBSTRING_INDEX
TRIM
UCASE
UPPER
Функции чисел
ABS
ACOS
ASIN
ATAN
ATAN2
AVG
CEIL
CEILING
COS
COT
COUNT
DEGREES
DIV
EXP
FLOOR
GREATEST
LEAST
LN
LOG
LOG10
LOG2
MAX
MIN
MOD
PI
POW
POWER
RADIANS
RAND
ROUND
SIGN
SIN
SQRT
SUM
TAN
TRUNCATE
Функции дат
ADDDATE
ADDTIME
CURDATE
CURRENT_DATE
CURRENT_TIME
CURRENT_TIMESTAMP
CURTIME
DATE
DATEDIFF
DATE_ADD
DATE_FORMAT
DATE_SUB
DAY
DAYNAME
DAYOFMONTH
DAYOFWEEK
DAYOFYEAR
EXTRACT
FROM_DAYS
HOUR
LAST_DAY
LOCALTIME
LOCALTIMESTAMP
MAKEDATE
MAKETIME
MICROSECOND
MINUTE
MONTH
MONTHNAME
NOW
PERIOD_ADD
PERIOD_DIFF
QUARTER
SECOND
SEC_TO_TIME
STR_TO_DATE
SUBDATE
SUBTIME
SYSDATE
TIME
TIME_FORMAT
TIME_TO_SEC
TIMEDIFF
TIMESTAMP
TO_DAYS
WEEK
WEEKDAY
WEEKOFYEAR
YEAR
YEARWEEK
Функции расширений
BIN
BINARY
CASE
CAST
COALESCE
CONNECTION_ID
CONV
CONVERT
CURRENT_USER
DATABASE
IF
IFNULL
ISNULL
LAST_INSERT_ID
NULLIF
SESSION_USER
SYSTEM_USER
USER
VERSION

SQL Server функции
Функции строк
ASCII
CHAR
CHARINDEX
CONCAT
Concat with +
CONCAT_WS
DATALENGTH
DIFFERENCE
FORMAT
LEFT
LEN
LOWER
LTRIM
NCHAR
PATINDEX
QUOTENAME
REPLACE
REPLICATE
REVERSE
RIGHT
RTRIM
SOUNDEX
SPACE
STR
STUFF
SUBSTRING
TRANSLATE
TRIM
UNICODE
UPPER
Функции чисел
ABS
ACOS
ASIN
ATAN
ATN2
AVG
CEILING
COUNT
COS
COT
DEGREES
EXP
FLOOR
LOG
LOG10
MAX
MIN
PI
POWER
RADIANS
RAND
ROUND
SIGN
SIN
SQRT
SQUARE
SUM
TAN
Функции дат
CURRENT_TIMESTAMP
DATEADD
DATEDIFF
DATEFROMPARTS
DATENAME
DATEPART
DAY
GETDATE
GETUTCDATE
ISDATE
MONTH
SYSDATETIME
YEAR
Функции расширений
CAST
COALESCE
CONVERT
CURRENT_USER
IIF
ISNULL
ISNUMERIC
NULLIF
SESSION_USER
SESSIONPROPERTY
SYSTEM_USER
USER_NAME

MS Access функции
Функции строк
Asc
Chr
Concat with &
CurDir
Format
InStr
InstrRev
LCase
Left
Len
LTrim
Mid
Replace
Right
RTrim
Space
Split
Str
StrComp
StrConv
StrReverse
Trim
UCase
Функции чисел
Abs
Atn
Avg
Cos
Count
Exp
Fix
Format
Int
Max
Min
Randomize
Rnd
Round
Sgn
Sqr
Sum
Val
Функции дат
Date
DateAdd
DateDiff
DatePart
DateSerial
DateValue
Day
Format
Hour
Minute
Month
MonthName
Now
Second
Time
TimeSerial
TimeValue
Weekday
WeekdayName
Year
Другие функции
CurrentUser
Environ
IsDate
IsNull
IsNumeric

SQL ОператорыSQL Типы данныхSQL Краткий справочник

LIKE operator

MySQL LIKE operator along with WILDCARDS finds a string of a specified pattern within another string.

In a more technical note, LIKE operator does pattern matching using simple regular expression comparison.

This is a table which describes the wildcards used with MySQL LIKE operator —

Syntax:

LIKE pat

Argument

MySQL Version: 5.6

Video Presentation

Your browser does not support HTML5 video.

Example of MySQL LIKE operator with wildcard (%) matching from the beginning

The following MySQL statement will return those rows from the table author in which the name of the author starts with the character ‘W’.

Code:

Sample table: author

Sample Output:

mysql> SELECT * 
    -> FROM author 
    -> WHERE aut_name LIKE 'W%';
+--------+-----------------+---------+-----------+
| aut_id | aut_name        | country | home_city |
+--------+-----------------+---------+-----------+
| AUT001 | William Norton  | UK      | Cambridge | 
| AUT002 | William Maugham | Canada  | Toronto   | 
| AUT003 | William Anthony | UK      | Leeds     | 
+--------+-----------------+---------+-----------+
3 rows in set (0.04 sec)

PHP script

JSP script

Example of MySQL LIKE operator with wildcard (%) matching from the end

The following MySQL statement will return those rows from the table author in which the name of the author ends with the substring ‘on’.

Code:

Sample table: author

Sample Output:

mysql> SELECT * 
    -> FROM author 
    -> WHERE aut_name LIKE '%on';
+--------+----------------+---------+-----------+
| aut_id | aut_name       | country | home_city |
+--------+----------------+---------+-----------+
| AUT001 | William Norton | UK      | Cambridge | 
| AUT006 | Thomas Merton  | USA     | New York  | 
| AUT007 | Piers Gibson   | UK      | London    | 
| AUT010 | Joseph Milton  | USA     | Houston   | 
+--------+----------------+---------+-----------+
4 rows in set (0.00 sec)

PHP script

Example of MySQL LIKE operator with wildcard (%) matching within the string

The following MySQL statement will return those rows from the table author in which the name of the author contains ‘k’.

Code:

Sample table: author

Sample Output:

mysql> SELECT * 
    -> FROM author 
    -> WHERE aut_name LIKE '%k%';
+--------+---------------+---------+-----------+
| aut_id | aut_name      | country | home_city |
+--------+---------------+---------+-----------+
| AUT008 | Nikolai Dewey | USA     | Atlanta   | 
| AUT012 | Evan Hayek    | Canada  | Vancouver | 
+--------+---------------+---------+-----------+
2 rows in set (0.00 sec)

Example of MySQL LIKE operator with wildcard (_) underscore

The following MySQL statement will return those rows from the table author in which the length of the author’s name is exactly 12 characters. Twelve ‘_’ have been used to indicate 12 characters.

Code:

Sample table: author

Sample Output:

mysql> SELECT *
    -> FROM author 
    -> WHERE aut_name LIKE '____________'; 
+--------+--------------+---------+-----------+
| aut_id | aut_name     | country | home_city |
+--------+--------------+---------+-----------+
| AUT007 | Piers Gibson | UK      | London    | 
| AUT015 | Butler Andre | USA     | Florida   | 
+--------+--------------+---------+-----------+
2 rows in set (0.00 sec)

All String Functions

Previous:
LENGTHNext:
LOAD_FILE

SQL Учебник

SQL ГлавнаяSQL ВведениеSQL СинтаксисSQL SELECTSQL SELECT DISTINCTSQL WHERESQL AND, OR, NOTSQL ORDER BYSQL INSERT INTOSQL Значение NullSQL Инструкция UPDATESQL Инструкция DELETESQL SELECT TOPSQL MIN() и MAX()SQL COUNT(), AVG() и …SQL Оператор LIKESQL ПодстановочныйSQL Оператор INSQL Оператор BETWEENSQL ПсевдонимыSQL JOINSQL JOIN ВнутриSQL JOIN СлеваSQL JOIN СправаSQL JOIN ПолноеSQL JOIN СамSQL Оператор UNIONSQL GROUP BYSQL HAVINGSQL Оператор ExistsSQL Операторы Any, AllSQL SELECT INTOSQL INSERT INTO SELECTSQL Инструкция CASESQL Функции NULLSQL ХранимаяSQL Комментарии

Example — Using _ Wildcard in the LIKE Condition

Next, let’s explain how the wildcard (underscore wildcard) works in the LIKE condition. Remember that wildcard is looking for exactly one character, unlike the wildcard.

Using the categories table with the following data:

Let’s try to find all records from the categories table where the category_id is 2-digits long and ends with ‘5’. Enter the following SQL statement:

Try It

SELECT *
FROM categories
WHERE category_id LIKE '_5';

There will be 2 records selected. These are the results that you should see:

In this example, there are 2 records that will pattern match — the category_id values 25 and 75. Notice that the category_id of 125 was not selected because, the wilcard matches only on a single character.

Using Multiple Wildcards in the LIKE Condition

If you wanted to match on a 3-digit value that ended with ‘5’, you would need to use the wildcard two times. You could modify your query as follows:

Try It

SELECT *
FROM categories
WHERE category_id LIKE '__5';

Now you will return the category_id value of 125:

Example — Using the NOT Operator with the LIKE Condition

Next, let’s look at an example of how to use the NOT Operator with the LIKE condition.

In this example, we have a table called suppliers with the following data:

Let’s look for all records in the suppliers table where the supplier_name does not contain the letter ‘o’. Enter the following SQL statement:

Try It

SELECT *
FROM suppliers
WHERE supplier_name NOT LIKE '%o%';

There will be 1 record selected. These are the results that you should see: