MySQL Update

Education is not limited to just classrooms. It can be gained anytime, anywhere... - Ravi Ranjan (M.Tech-NIT)

MySQL UPDATE Statemen

UPDATE Table

The MySQL UPDATE statement is used to update columns of existing rows in a table with new values.

Version : 5.6

Syntax :

Single table :

UPDATE [LOW_PRIORITY] [IGNORE] table_reference

      SET col_name1={expr1|DEFAULT} [, col_name2={expr2|DEFAULT}] ...

      [WHERE where_condition]

      [ORDER BY ...]

      [LIMIT row_count]

Multiple tables :

UPDATE [LOW_PRIORITY] [IGNORE] table_references

      SET col_name1={expr1|DEFAULT} [, col_name2={expr2|DEFAULT}] ...

      [WHERE where_condition]

Arguments

Name

Description

table_reference(s)

Name of table(s) to be updated.

col_name1, col_name2, ..

Name of column(s) to be updated.

expr1, expr2,...

New value(s).

  • For a single table, the UPDATE statement updates columns of existing rows in the named table with new values. Specific columns can be modified using the SET clause by supplying new values for that column.
  • The WHERE clause can be used to specify the conditions those identify which rows to update. Without using WHERE clause, all rows are updated.
  • The ORDER BY clause is used to update the order that is already specified.
  • The LIMIT clause specifies a limit on the number of rows that can be updated.
  • For multiple tables, UPDATE updates row in each table named in table_references that satisfy the conditions. In this case, ORDER BY and LIMIT cannot be used.

The UPDATE statement supports the following modifiers :

  • LOW_PRIORITY : Using LOW_PRIORITY keyword, execution of the UPDATE is delayed until no other clients are reading from the table. This affects only storage engines that use only table-level locking (such as MyISAM, MEMORY, and MERGE).
  • IGNORE : Using IGNORE keyword, the update statement does not abort even if errors occur during the update. Rows for which duplicate-key conflicts occur are not updated. Rows for which columns are updated to values that would cause data conversion errors are updated to the closest valid values instead.

Examples : MySQL UPDATE on single table

Following are some examples on MySQL update where we have used newpurchase as sample table.

Sample table : newpurchase

+------------+------------+----------------+------------+------------+---------+---------------------------------+----------+---------+-------------+-------------+------------+
| invoice_no | invoice_dt | ord_no         | ord_date   | receive_dt | book_id | book_name                       | pub_lang | cate_id | receive_qty | purch_price | total_cost |
+------------+------------+----------------+------------+------------+---------+---------------------------------+----------+---------+-------------+-------------+------------+
| INV0001    | 2008-07-15 | ORD/08-09/0001 | 2008-07-06 | 2008-07-19 | BK001   | Introduction to Electrodynamics | English  | CA001   |          15 |       75.00 |    1125.00 |
| INV0002    | 2008-08-25 | ORD/08-09/0002 | 2008-08-09 | 2008-08-28 | BK004   | Transfer  of Heat and Mass      | English  | CA002   |           8 |       55.00 |     440.00 |
| INV0003    | 2008-09-20 | ORD/08-09/0003 | 2008-09-15 | 2008-09-23 | BK005   | Conceptual Physics              | NULL     | CA001   |          20 |       20.00 |     400.00 |
| INV0004    | 2007-08-30 | ORD/07-08/0005 | 2007-08-22 | 2007-08-30 | BK004   | Transfer  of Heat and Mass      | English  | CA002   |          15 |       35.00 |     525.00 |
| INV0005    | 2007-07-28 | ORD/07-08/0004 | 2007-06-25 | 2007-07-30 | BK001   | Introduction to Electrodynamics | English  | CA001   |           8 |       25.00 |     200.00 |
| INV0006    | 2007-09-24 | ORD/07-08/0007 | 2007-09-20 | 2007-09-30 | BK003   | Guide to Networking             | Hindi    | CA003   |          20 |       45.00 |     900.00 |
+------------+------------+----------------+------------+------------+---------+---------------------------------+----------+---------+-------------+-------------+------------+

MySQL UPDATE column

MySQL UPDATE column can be used to update some specific columns. The following MySQL statement will update the 'receive_qty' column of newpurchase table with a new value 20.

  1. UPDATE newpurchase SET receive_qty=20;  

MySQL UPDATE with WHERE

MySQL UPDATE command can be used with WHERE clause to filter (against certain conditions) which rows will be updated. The following MySQL statement will update the 'receive_qty' column of newpurchase table with a new value 25 if the value of purch_price is more than 50.

  1. UPDATE newpurchase   
  2. SET receive_qty=25   
  3. WHERE purch_price>50;  

MySQL UPDATE using NULL

MySQL UPDATE command can be used to update a column value to NULL by setting column_name = NULL, where column_name is the name of the column to be updated. The following MySQL statement will update pub_lang column with NULL if purch_price is more than 50. In this statement, other columns are also updated with respective new values.

  1. UPDATE newpurchase    
  2. SET receive_qty=20,pub_lang='Hindi',pub_lang=NULL   
  3. WHERE purch_price>50;  

MySQL UPDATE multiple columns

MySQL UPDATE command can be used to update multiple columns by specifying a comma separated list of column_name = new_value. Where column_name is the name of the column to be updated and new_value is the new value with which the column will be updated. The following MySQL statement will update receive_qty, pub_lang, and receive_dt columns with new values 20, Hindi and 2008-07-10 if purch_price is more than 50.

  1. UPDATE newpurchase   
  2. SET receive_qty=20,pub_lang='Hindi',receive_dt='2008-07-10'   
  3. WHERE purch_price>50;  

MySQL UPDATE with subqueries

Here in the following, we have discussed how to use MySQL UPDATE command with subqueries.

The following MySQL statement will update purch_price with purch_price multiplied by 5 if it satisfies the condition defined in the subquery started with SELECT wrapped within a pair of parenthesis.

The subquery retrieves only those cate_ids from purchase table if their corresponding receive_qty is more than 10.

Code :

  1. UPDATE  newpurchase   
  2. SET purch_price=purch_price*.05  
  3. WHERE cate_id IN(SELECT cate_id   
  4. FROM purchase   
  5. WHERE receive_qty>10);  

Updating MySQL Table using PHP Script

You can update MySQL table data (using UPDATE command) through a PHP script. Within the script, PHP function MySQL_query() execute the SQL command. We have used a table called 'item' to apply the query:
Table Name : item Structure : item_code varchar(20), value int(11), quantity int(11) where item_code is the primary key. In the following rows of item table, 'value' column which is marked with red rectangle will be updated.

item master

PHP Script

  1.  $dbhost = 'localhost';  
  2.  $dbuser = 'root';  
  3.  $dbpass = '';  
  4.  $connec = MySQL_connect($dbhost, $dbuser, $dbpass);  
  5.  if(!$connec)  
  6.  {  
  7.  die('Could not connect: ' . MySQL_error());  
  8.  }  
  9.  $sql = "UPDATE item  
  10.  SET value = '112'  
  11.  WHERE item_code='item1'";  
  12.  MySQL_select_db('MySQL');  
  13.  $result = MySQL_query($sql, $connec);  
  14.  if(!$result)  
  15.  {  
  16.  die('Could not update data: ' . MySQL_error());  
  17.  }  
  18.  echo "Data successfully updated...";  
  19.  MySQL_close($connec);  
  20.  ?>  

Output :

updated item master

Multiple Updates in MySQL

Sample table : table1

sample table test1

Problem

If you want to update the val1 with 5,8 and 7 for concerned id 1,3 and 4 and the other val1 will remain same and the val2 will be updated with 13 and 5 for the concerned id 2 and 4 and the other will remain same, the following update statement can be used by using IF and CASE.

Code :

  1. UPDATE table1 SET val1= CASE id   
  2.                           WHEN 1 THEN 5   
  3.                           WHEN 3 THEN 8   
  4.                           WHEN 4 THEN 7   
  5.                           ELSE val1  
  6.                         END,   
  7.                  val2= CASE id   
  8.                           WHEN 2 THEN 13   
  9.                           WHEN 4 THEN 5   
  10.                           ELSE val2   
  11.                         END  
  12.              WHERE id IN (1, 2, 3, 4);  

Pictorial presentation :
mysql update iamge

Sample Output:

Mysql update image1

Examples : MySQL UPDATE on multiple tables

Here we have used two tables book_mast and purchase for the following example as sample table. We have shown some of the columns in the associated tables. Here are the tables below -

MySQL> SELECT book_id,book_name,pub_lang,book_price

    -> FROM book_mast;

+--------+------------------------------------+---------+----------+

| book_id| book_name                          | pub_lang|book_price|

+--------+------------------------------------+---------+----------+

| BK001  | Introduction to Electrodynamics    | English |     85.00|

| BK002  | Understanding of Steel Construction| English |    105.50|

| BK003  | Guide to Networking                | Hindi   |    200.00|

| BK004  | Transfer  of Heat and Mass         | English |    250.00|

| BK005  | Conceptual Physics                 | NULL    |    145.00|

| BK006  | Fundamentals of Heat               | German  |    112.00|

| BK007  | Advanced 3d Graphics               | Hindi   |     56.00|

| BK008  | Human Anatomy                      | German  |     50.50|

| BK009  | Mental Health Nursing              | English |    145.00|

| BK010  | Fundamentals of Thermodynamics     | English |    225.00|

| BK011  | The Experimental Analysis of Cat   | French  |     95.00|

| BK012  | The Nature  of World               | English |     88.00|

| BK013  | Environment a Sustainable Future   | German  |    100.00|

| BK014  | Concepts in Health                 | NULL    |    180.00|

| BK015  | Anatomy & Physiology               | Hindi   |    135.00|

| BK016  | Networks and Telecommunications    | French  |     45.00|

+--------+------------------------------------+---------+----------+

16 rows in set (0.00 sec)

 

and

 

MySQL> SELECT book_id,pub_lang,purch_price,total_cost

    -> FROM purchase;

+---------+----------+-------------+------------+

| book_id | pub_lang | purch_price | total_cost |

+---------+----------+-------------+------------+

| BK001   | English  |       75.00 |    1125.00 |

| BK004   | English  |       55.00 |     440.00 |

| BK005   | NULL     |       20.00 |     400.00 |

| BK004   | English  |       35.00 |     525.00 |

| BK001   | English  |       25.00 |     200.00 |

| BK003   | Hindi    |       45.00 |     900.00 |

+---------+----------+-------------+------------+

6 rows in set (0.02 sec)

If we want to update the book_price of the table book_mast by an increment of 5% and also update the purch_price and total_cost of puchase table by an increment of 5%, and this increment will affect only those rows in both book_mast and purchase table, which publishing language is English and book_id matching in both the tables, we can write the following code -

view plaincopy to clipboardprint?

  1. UPDATE book_mast,purchase  
  2. SET book_mast.book_price=book_mast.book_price+(book_mast.book_price*.05),  
  3. purchase.purch_price=purchase.purch_price+(purchase.purch_price*.05),  
  4. purchase.total_cost=receive_qty*(purchase.purch_price+(purchase.purch_price*.05))  
  5. WHERE book_mast.book_id=purchase.book_id  
  6. AND purchase.pub_lang="English";  

After updating it is to be shown that, the highlighted rows have been effected in both the tables.

MySQL> SELECT book_id,book_name,pub_lang,book_price

    -> FROM book_mast;

+--------+------------------------------------+---------+----------+

| book_id| book_name                          | pub_lang|book_price|

+--------+------------------------------------+---------+----------+

| BK001  | Introduction to Electrodynamics    | English |     89.25|

| BK002  | Understanding of Steel Construction| English |    105.50|

| BK003  | Guide to Networking                | Hindi   |    200.00|

| BK004  | Transfer  of Heat and Mass         | English |    262.50|

| BK005  | Conceptual Physics                 | NULL    |    145.00|

| BK006  | Fundamentals of Heat               | German  |    112.00|

| BK007  | Advanced 3d Graphics               | Hindi   |     56.00|

| BK008  | Human Anatomy                      | German  |     50.50|

| BK009  | Mental Health Nursing              | English |    145.00|

| BK010  | Fundamentals of Thermodynamics     | English |    225.00|

| BK011  | The Experimental Analysis of Cat   | French  |     95.00|

| BK012  | The Nature  of World               | English |     88.00|

| BK013  | Environment a Sustainable Future   | German  |    100.00|

| BK014  | Concepts in Health                 | NULL    |    180.00|

| BK015  | Anatomy & Physiology               | Hindi   |    135.00|

| BK016  | Networks and Telecommunications    | French  |     45.00|

+--------+------------------------------------+---------+----------+

16 rows in set (0.01 sec)

and

MySQL> SELECT book_id,pub_lang,purch_price,total_cost

    -> FROM purchase;

+---------+----------+-------------+------------+

| book_id | pub_lang | purch_price | total_cost |

+---------+----------+-------------+------------+

| BK001   | English  |       78.75 |    1181.25 |

| BK004   | English  |       57.75 |     462.00 |

| BK005   | NULL     |       20.00 |     400.00 |

| BK004   | English  |       36.75 |     551.25 |

| BK001   | English  |       26.25 |     210.00 |

| BK003   | Hindi    |       45.00 |     900.00 |

+---------+----------+-------------+------------+

6 rows in set (0.08 sec)

MySQL: Update with Join Statement

Sample tables

sample table test1

Problem

If we want to update the aval1of table11 with the bval1 of table12 against the following condition -

1). the id of table11 and table13 must be matched, and

2). bval2 of table12 must be matched with the cval1 of table13 -

then the following code can be used.

Code :

  1. UPDATE table11, table12, table13   
  2. SET table11.aval1 = table12.bval1  
  3. WHERE table11.id = table13.id   
  4. AND table12.bval2 = table13.cval1  

Explanation

Mysql update three tables explaination

:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Output:

Mysql update three tables image2