Usage of MySQLreplace []

Source: Internet
Author: User
When you insert data into a table, you often encounter this situation: 1. First, determine whether the data exists; 2. if the data does not exist, insert the data; 3. if the data exists, update the data.

When you insert data into a table, you often encounter this situation: 1. First, determine whether the data exists; 2. if the data does not exist, insert the data; 3. if the data exists, update the data.

MySQL has a simpler method: replace

replace into t(id, update_time) values(1, now());

Or

replace into t(id, update_time) select 1, now();

Replace into is similar to insert. The difference is that replace into first tries to insert data into the table. if this row of data already exists in the table (determined based on the primary key or unique index), delete the row of data and insert new data. 2. otherwise, insert new data directly.

Note that the table to which data is inserted must have a primary key or a unique index! Otherwise, replace into inserts data directly, which leads to duplicate data in the table.

MySQL replace into has three forms:
1. replace into tbl_name(col_name, ...) values(...) 2. replace into tbl_name(col_name, ...) select ... 3. replace into tbl_name set col_name=value, ...
 

REPLACE runs like INSERT. Except for one, if an old record in the table has the same value as a new record used for the primary key or a UNIQUE index, the old record is deleted before the new record is inserted. Note: Unless the table has a primary key or UNIQUE index, using a REPLACE statement is meaningless. This statement is the same as INSERT, because no index is used to determine whether other rows have been copied in the new row.

The values of all columns are equal to the value specified in the REPLACE statement. All missing columns are set as their default values, which is the same as INSERT. You cannot reference a value from the current row or use a value in a new row. If you use a value such as "SET col_name = col_name + 1", the reference to the column name on the right will be processed as DEFAULT (col_name. Therefore, the value is equivalent to SET col_name = DEFAULT (col_name) + 1.

To use REPLACE, you must have both the INSERT and DELETE permissions for the table.

The REPLACE statement returns a number to indicate the number of affected rows. This is the sum of the number of deleted and inserted rows. If this number is 1 for a single row, one row is inserted and no row is deleted. If the number is greater than 1, one or more old rows are deleted before the new row is inserted. If the table contains multiple unique indexes, and the new row copies the values of different old rows in different unique indexes, it is possible that a single row replaces multiple old rows.

The number of affected rows can be easily determined whether REPLACE only adds one row, or whether REPLACE also replaces other rows: Check whether the number is 1 (added) or larger (replaced ).

If you are using c api, you can use the mysql_affected_rows () function to obtain the number of affected rows.

Currently, you cannot change a table in a subquery and select from the same table.

The following is a more detailed description of the algorithm used (this algorithm is also used for load data... REPLACE ):

1. try to insert a new row into the table

2. when insertion fails due to a duplicate keyword error for the primary key or unique keyword:

A. delete conflicting rows with duplicate keyword values from the table

B. try to insert a new row into the table again

Example
1. replace
Replace into table (id, name) values ('1', 'A'), ('2', 'BB ')
This statement inserts two records into the table. If the primary key id is 1 or 2 does not exist
It is equivalent
Insert into table (id, name) values ('1', 'A'), ('2', 'BB ')
Data is not inserted if the same value exists.

2. replace (object, search, replace)
Replace all search objects with replace
Select replace ('www .163.com ', 'W', 'WW') ---> WwWwWw.163.com
For example, replace aa in the name field of the table with bb.
Update table set name = replace (name, 'AA', 'BB ')

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