Updating entire tables using update query
Drag these additional fields to the query grid and specify criteria for them.
As long as you leave the Update To row blank for these columns, they will be used for their criteria only and will not be updated.
This action query will take the Purchase Price values from tbl Albums Updated and copy it into the Purchase Price field in tbl Albums for each record where the two Album ID fields match and the price value in tbl Albums is currently null.
When the query is finished, open tbl Albums again—you should see that the Purchase Price field in this table has been updated based on the values in tbl Albums Updated (see Figure 1-18).
The following My SQL 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.
My SQL UPDATE using NULL My SQL 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 data in all the other fields in the existing table is still correct.The following My SQL 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.The update query below shows that the PICTURE column is updated by looking up the same ID value in CATEGORY_ID column in table Categories_Test and Categories. If you need to update multiple columns simultaneously, use comma to separate each column after the SET keyword. Here we only want to update PICTURE column in Categories_Test table where the data in Category_Name column is Seafood in table Categories. Software and hardware names mentioned on this site are registered trademarks of their respective companies.Should any right be infringed, it is totally unintentional.
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.