Microsoft Access merupakan salah satu database yang banyak digunakan untuk aplikasi skala kecil. Pembuatan kueri dalam MS Access bisa dikatakan mudah dikarenakan adanya tampilan visual yang disediakan. Namun, bagi mereka yang sudah ahli dalam menggunakan database ini, terlebih dalam perintah SQL, menggunakan perintah SQL langsung (ketikan).
Pada kesempatan kali ini, saya akan membagikan beberapa sintaks dasar dalam kueri MS Access.
Select Statement
SELECT [column_name] FROM [table_name];
Append Statement
INSERT INTO [table_name] ([column1], [column2], [column3])
VALUES ('value1', #value2#, value3);
This assumes value1 is a string, value2 is a date and value 3 is some other datatype
Update Statement
UPDATE [table_name] SET [column_name] = 'value1'
WHERE [other_column]=value2;
Delete Statement
DELETE * FROM [table_name];
Create Table Statement
SELECT Column1, Column2 INTO NewTable
FROM OldTable;
Distinct values only
SELECT DISTINCT [column_name] FROM [table_name];
Top 10 in an Ordered Query
SELECT TOP 10 [column_1], [column_2]
FROM [table_name]
ORDER BY [column_1];
Order by is Ascending by default. Use DESC at the of the statement to reverse the order.
IN Value List
SELECT [column_name]
FROM [table_name]
WHERE [column_name] IN ('value1', 'value2', 'value3');
Between Numbers
SELECT [column_name]
FROM [table_name]
WHERE [column_name] BETWEEN value1 AND value2;
Between Dates
SELECT [column_name]
FROM [table_name]
WHERE [column_name] BETWEEN #value1# AND #value2#;
Like and * wildcard
SELECT [column_name]
FROM [table_name]
WHERE [column_name] LIKE '*value*';
Count
SELECT COUNT([column_name])
FROM [table_name];
However in Aggregate queries if other columns are returned you must use Group By
SELECT COUNT([column_1]), [Column2]
FROM [table_name]
GROUP BY [Column2];
JOINS
SELECT [Table1].[Column_1], [Table2].[Column_2]
FROM Table1 INNER JOIN Table2
ON [Table1].[ID] = [Table2].[ID];
LEFT, RIGHT and INNER JOINS follow the same syntax.
Full outer joins are achieved by using no join as follows:
SELECT [Table1].[Column_1], [Table2].[Column_2]
FROM Table1, Table2;
Union
SELECT [column_name] FROM [table_1]
UNION [ALL]
SELECT [column_name] FROM [table_2];
The ALL predicate is required if you don't want duplicate records to be dropped.
UNION on it's own has the effect of using the DISTINCT predicate in a SELECT clause.
Reff:bytes.com
Pada kesempatan kali ini, saya akan membagikan beberapa sintaks dasar dalam kueri MS Access.
Select Statement
SELECT [column_name] FROM [table_name];
Append Statement
INSERT INTO [table_name] ([column1], [column2], [column3])
VALUES ('value1', #value2#, value3);
This assumes value1 is a string, value2 is a date and value 3 is some other datatype
Update Statement
UPDATE [table_name] SET [column_name] = 'value1'
WHERE [other_column]=value2;
Delete Statement
DELETE * FROM [table_name];
Create Table Statement
SELECT Column1, Column2 INTO NewTable
FROM OldTable;
Distinct values only
SELECT DISTINCT [column_name] FROM [table_name];
Top 10 in an Ordered Query
SELECT TOP 10 [column_1], [column_2]
FROM [table_name]
ORDER BY [column_1];
Order by is Ascending by default. Use DESC at the of the statement to reverse the order.
IN Value List
SELECT [column_name]
FROM [table_name]
WHERE [column_name] IN ('value1', 'value2', 'value3');
Between Numbers
SELECT [column_name]
FROM [table_name]
WHERE [column_name] BETWEEN value1 AND value2;
Between Dates
SELECT [column_name]
FROM [table_name]
WHERE [column_name] BETWEEN #value1# AND #value2#;
Like and * wildcard
SELECT [column_name]
FROM [table_name]
WHERE [column_name] LIKE '*value*';
Count
SELECT COUNT([column_name])
FROM [table_name];
However in Aggregate queries if other columns are returned you must use Group By
SELECT COUNT([column_1]), [Column2]
FROM [table_name]
GROUP BY [Column2];
JOINS
SELECT [Table1].[Column_1], [Table2].[Column_2]
FROM Table1 INNER JOIN Table2
ON [Table1].[ID] = [Table2].[ID];
LEFT, RIGHT and INNER JOINS follow the same syntax.
Full outer joins are achieved by using no join as follows:
SELECT [Table1].[Column_1], [Table2].[Column_2]
FROM Table1, Table2;
Union
SELECT [column_name] FROM [table_1]
UNION [ALL]
SELECT [column_name] FROM [table_2];
The ALL predicate is required if you don't want duplicate records to be dropped.
UNION on it's own has the effect of using the DISTINCT predicate in a SELECT clause.
Reff:bytes.com