SQL update columns with arithmetical expression
In this page, we are going to discuss how to change the data of the columns with the SQL UPDATE statement using an arithmetical expression.
Example:
Sample table: neworders
ORD_NUM ORD_AMOUNT ADVANCE_AMOUNT ORD_DATE CUST_CODE AGENT_CODE ORD_DESCRIPTION
---------- ---------- -------------- --------- --------------- --------------- -----------------
200114 3500 2000 15-AUG-08 C00002 A008
200122 2500 400 16-SEP-08 C00003 A004
200118 500 100 20-JUL-08 C00023 A006
200119 4000 700 16-SEP-08 C00007 A010
200121 1500 600 23-SEP-08 C00008 A004
200130 2500 400 30-JUL-08 C00025 A011
200134 4200 1800 25-SEP-08 C00004 A005
200108 4000 600 15-FEB-08 C00008 A004
200103 1500 700 15-MAY-08 C00021 A005
200105 2500 500 18-JUL-08 C00025 A011
200109 3500 800 30-JUL-08 C00011 A010
200101 3000 1000 15-JUL-08 C00001 A008
200111 1000 300 10-JUL-08 C00020 A008
200104 1500 500 13-MAR-08 C00006 A004
200106 2500 700 20-APR-08 C00005 A002
200125 2000 600 10-OCT-08 C00018 A005
200117 800 200 20-OCT-08 C00014 A001
200123 500 100 16-SEP-08 C00022 A002
200120 500 100 20-JUL-08 C00009 A002
200116 500 100 13-JUL-08 C00010 A009
200124 500 100 20-JUN-08 C00017 A007
200126 500 100 24-JUN-08 C00022 A002
200129 2500 500 20-JUL-08 C00024 A006
200127 2500 400 20-JUL-08 C00015 A003
200128 3500 1500 20-JUL-08 C00009 A002
200135 2000 800 16-SEP-08 C00007 A010
200131 900 150 26-AUG-08 C00012 A012
200133 1200 400 29-JUN-08 C00009 A002
200100 1000 600 08-JAN-08 C00015 A003
200110 3000 500 15-APR-08 C00019 A010
200107 4500 900 30-AUG-08 C00007 A010
200112 2000 400 30-MAY-08 C00016 A007
200113 4000 600 10-JUN-08 C00022 A002
200102 2000 300 25-MAY-08 C00012 A012
To change the value of 'advance_amount' column with a new value as specified -
1. 'ord_amount'*10,
the following SQL statement can be used:
SQL Code:
-- This SQL code updates the 'advance_amount' column in the 'neworder' table based on a calculation using the 'ord_amount' column.
-- UPDATE statement begins
UPDATE neworder
-- Specifies the target table 'neworder' where the data will be updated
SET advance_amount=ord_amount*.10;
-- Sets the value of the 'advance_amount' column to 10% of the value of the 'ord_amount' column for all rows in the 'neworder' table
Explanation:
- This SQL code uses the UPDATE statement to modify existing records in the 'neworder' table.
- The UPDATE statement specifies the target table 'neworder' where the update operation will be performed.
- The SET clause assigns new values to the 'advance_amount' column.
- The value assigned to 'advance_amount' is calculated as 10% of the value of the 'ord_amount' column for each row. This calculation is done using the expression 'ord_amount * .10'.
Output:
SQL update columns with arithmetical expression and where
In the following, we are going to discuss how to change the data of the columns with the SQL UPDATE statement using arithmetical expression and SQL WHERE clause.
Example:
Sample table: neworders
ORD_NUM ORD_AMOUNT ADVANCE_AMOUNT ORD_DATE CUST_CODE AGENT_CODE ORD_DESCRIPTION
---------- ---------- -------------- --------- --------------- --------------- -----------------
200114 3500 2000 15-AUG-08 C00002 A008
200122 2500 400 16-SEP-08 C00003 A004
200118 500 100 20-JUL-08 C00023 A006
200119 4000 700 16-SEP-08 C00007 A010
200121 1500 600 23-SEP-08 C00008 A004
200130 2500 400 30-JUL-08 C00025 A011
200134 4200 1800 25-SEP-08 C00004 A005
200108 4000 600 15-FEB-08 C00008 A004
200103 1500 700 15-MAY-08 C00021 A005
200105 2500 500 18-JUL-08 C00025 A011
200109 3500 800 30-JUL-08 C00011 A010
200101 3000 1000 15-JUL-08 C00001 A008
200111 1000 300 10-JUL-08 C00020 A008
200104 1500 500 13-MAR-08 C00006 A004
200106 2500 700 20-APR-08 C00005 A002
200125 2000 600 10-OCT-08 C00018 A005
200117 800 200 20-OCT-08 C00014 A001
200123 500 100 16-SEP-08 C00022 A002
200120 500 100 20-JUL-08 C00009 A002
200116 500 100 13-JUL-08 C00010 A009
200124 500 100 20-JUN-08 C00017 A007
200126 500 100 24-JUN-08 C00022 A002
200129 2500 500 20-JUL-08 C00024 A006
200127 2500 400 20-JUL-08 C00015 A003
200128 3500 1500 20-JUL-08 C00009 A002
200135 2000 800 16-SEP-08 C00007 A010
200131 900 150 26-AUG-08 C00012 A012
200133 1200 400 29-JUN-08 C00009 A002
200100 1000 600 08-JAN-08 C00015 A003
200110 3000 500 15-APR-08 C00019 A010
200107 4500 900 30-AUG-08 C00007 A010
200112 2000 400 30-MAY-08 C00016 A007
200113 4000 600 10-JUN-08 C00022 A002
200102 2000 300 25-MAY-08 C00012 A012
To update the value of 'advance_amount' with following conditions -
1. new value for 'advance_amount is 'ord_amount'*10,
2. 'ord_date' must be greater than '01-Aug-08',
the following SQL statement can be used:
SQL Code:
-- This SQL code updates the 'advance_amount' column in the 'neworder' table based on a calculation using the 'ord_amount' column, but only for rows where the 'ord_date' column is after '01-Aug-08'.
-- UPDATE statement begins
UPDATE neworder
-- Specifies the target table 'neworder' where the data will be updated
SET advance_amount=ord_amount*.10
-- Sets the value of the 'advance_amount' column to 10% of the value of the 'ord_amount' column for rows that meet the specified condition
WHERE ord_date>'01-Aug-08';
-- Specifies the condition for updating rows: only rows where the 'ord_date' column is after '01-Aug-08' will be affected by the update operation
Explanation:
- This SQL code uses the UPDATE statement to modify existing records in the 'neworder' table.
- The UPDATE statement specifies the target table 'neworder' where the update operation will be performed.
- The SET clause assigns new values to the 'advance_amount' column.
- The value assigned to 'advance_amount' is calculated as 10% of the value of the 'ord_amount' column for each row.
- The WHERE clause filters the rows to be updated, ensuring that only rows where the 'ord_date' column is after '01-Aug-08' will be affected by the update operation.
SQL update columns with arithmetical expression and boolean 'AND'
In the following, we are going to discuss how to change the data of the columns with the SQL UPDATE statement using arithmetical expression and SQL WHERE clause and boolean operator AND.
Example:
Sample table : customer1+-----------+-------------+-------------+--------------+--------------+-------+-------------+-------------+-------------+---------------+--------------+------------+ |CUST_CODE | CUST_NAME | CUST_CITY | WORKING_AREA | CUST_COUNTRY | GRADE | OPENING_AMT | RECEIVE_AMT | PAYMENT_AMT |OUTSTANDING_AMT| PHONE_NO | AGENT_CODE | +-----------+-------------+-------------+--------------+--------------+-------+-------------+-------------+-------------+---------------+--------------+------------+ | C00013 | Holmes | London | London | UK | 2 | 6000.00 | 5000.00 | 7000.00 | 4000.00 | BBBBBBB | A003 | | C00001 | Micheal | New York | New York | USA | 2 | 3000.00 | 5000.00 | 2000.00 | 6000.00 | CCCCCCC | A008 | | C00020 | Albert | New York | New York | USA | 3 | 5000.00 | 7000.00 | 6000.00 | 6000.00 | BBBBSBB | A008 | | C00025 | Ravindran | Bangalore | Bangalore | India | 2 | 5000.00 | 7000.00 | 4000.00 | 8000.00 | AVAVAVA | A011 | | C00024 | Cook | London | London | UK | 2 | 4000.00 | 9000.00 | 7000.00 | 6000.00 | FSDDSDF | A006 | | C00015 | Stuart | London | London | UK | 1 | 6000.00 | 8000.00 | 3000.00 | 11000.00 | GFSGERS | A003 | | C00002 | Bolt | New York | New York | USA | 3 | 5000.00 | 7000.00 | 9000.00 | 3000.00 | DDNRDRH | A008 | | C00018 | Fleming | Brisban | Brisban | Australia | 2 | 7000.00 | 7000.00 | 9000.00 | 5000.00 | NHBGVFC | A005 | | C00021 | Jacks | Brisban | Brisban | Australia | 1 | 7000.00 | 7000.00 | 7000.00 | 7000.00 | WERTGDF | A005 | | C00019 | Yearannaidu | Chennai | Chennai | India | 1 | 8000.00 | 7000.00 | 7000.00 | 8000.00 | ZZZZBFV | A010 | | C00005 | Sasikant | Mumbai | Mumbai | India | 1 | 7000.00 | 11000.00 | 7000.00 | 11000.00 | 147-25896312 | A002 | | C00007 | Ramanathan | Chennai | Chennai | India | 1 | 7000.00 | 11000.00 | 9000.00 | 9000.00 | GHRDWSD | A010 | | C00022 | Avinash | Mumbai | Mumbai | India | 2 | 7000.00 | 11000.00 | 9000.00 | 9000.00 | 113-12345678 | A002 | | C00004 | Winston | Brisban | Brisban | Australia | 1 | 5000.00 | 8000.00 | 7000.00 | 6000.00 | AAAAAAA | A005 | | C00023 | Karl | London | London | UK | 0 | 4000.00 | 6000.00 | 7000.00 | 3000.00 | AAAABAA | A006 | | C00006 | Shilton | Torento | Torento | Canada | 1 | 10000.00 | 7000.00 | 6000.00 | 11000.00 | DDDDDDD | A004 | | C00010 | Charles | Hampshair | Hampshair | UK | 3 | 6000.00 | 4000.00 | 5000.00 | 5000.00 | MMMMMMM | A009 | | C00017 | Srinivas | Bangalore | Bangalore | India | 2 | 8000.00 | 4000.00 | 3000.00 | 9000.00 | AAAAAAB | A007 | | C00012 | Steven | San Jose | San Jose | USA | 1 | 5000.00 | 7000.00 | 9000.00 | 3000.00 | KRFYGJK | A012 | | C00008 | Karolina | Torento | Torento | Canada | 1 | 7000.00 | 7000.00 | 9000.00 | 5000.00 | HJKORED | A004 | | C00003 | Martin | Torento | Torento | Canada | 2 | 8000.00 | 7000.00 | 7000.00 | 8000.00 | MJYURFD | A004 | | C00009 | Ramesh | Mumbai | Mumbai | India | 3 | 8000.00 | 7000.00 | 3000.00 | 12000.00 | Phone No | A002 | | C00014 | Rangarappa | Bangalore | Bangalore | India | 2 | 8000.00 | 11000.00 | 7000.00 | 12000.00 | AAAATGF | A001 | | C00016 | Venkatpati | Bangalore | Bangalore | India | 2 | 8000.00 | 11000.00 | 7000.00 | 12000.00 | JRTVFDD | A007 | | C00011 | Sundariya | Chennai | Chennai | India | 3 | 7000.00 | 11000.00 | 7000.00 | 11000.00 | PPHGRTS | A010 | +-----------+-------------+-------------+--------------+--------------+-------+-------------+-------------+-------------+---------------+--------------+------------+
To change the value of 'outstanding_amt' of 'customer1' table with following conditions -
1. modified value for 'outstanding_amt' is 'outstanding_amt'-('outstanding_amt'*.10),
2. 'cust_country' must be 'India',
3. and 'grade' must be 1,
the following SQL statement can be used :
SQL Code:
-- This SQL code updates the 'outstanding_amt' column in the 'customer1' table, reducing the outstanding amount by 10%, but only for customers in India with a grade of 1.
-- UPDATE statement begins
UPDATE customer1
-- Specifies the target table 'customer1' where the data will be updated
SET outstanding_amt=outstanding_amt-(outstanding_amt*.10)
-- Sets the value of the 'outstanding_amt' column to 90% of its current value for rows that meet the specified condition
WHERE cust_country='India' AND grade=1;
-- Specifies the condition for updating rows: only rows where the 'cust_country' column is 'India' and the 'grade' column is 1 will be affected by the update operation
Explanation:
- This SQL code uses the UPDATE statement to modify existing records in the 'customer1' table.
- The UPDATE statement specifies the target table 'customer1' where the update operation will be performed.
- The SET clause calculates the new value for the 'outstanding_amt' column by subtracting 10% of its current value from itself.
- The WHERE clause filters the rows to be updated, ensuring that only rows where the 'cust_country' column is 'India' and the 'grade' column is 1 will be affected by the update operation.
SQL update columns with arithmetical expression and comparison operator
In the following, we are discussing, how to change the data of the columns with the SQL UPDATE statement using arithmetical expression and COMPARISON operator.
Example:
Sample table: neworders
ORD_NUM ORD_AMOUNT ADVANCE_AMOUNT ORD_DATE CUST_CODE AGENT_CODE ORD_DESCRIPTION
---------- ---------- -------------- --------- --------------- --------------- -----------------
200114 3500 2000 15-AUG-08 C00002 A008
200122 2500 400 16-SEP-08 C00003 A004
200118 500 100 20-JUL-08 C00023 A006
200119 4000 700 16-SEP-08 C00007 A010
200121 1500 600 23-SEP-08 C00008 A004
200130 2500 400 30-JUL-08 C00025 A011
200134 4200 1800 25-SEP-08 C00004 A005
200108 4000 600 15-FEB-08 C00008 A004
200103 1500 700 15-MAY-08 C00021 A005
200105 2500 500 18-JUL-08 C00025 A011
200109 3500 800 30-JUL-08 C00011 A010
200101 3000 1000 15-JUL-08 C00001 A008
200111 1000 300 10-JUL-08 C00020 A008
200104 1500 500 13-MAR-08 C00006 A004
200106 2500 700 20-APR-08 C00005 A002
200125 2000 600 10-OCT-08 C00018 A005
200117 800 200 20-OCT-08 C00014 A001
200123 500 100 16-SEP-08 C00022 A002
200120 500 100 20-JUL-08 C00009 A002
200116 500 100 13-JUL-08 C00010 A009
200124 500 100 20-JUN-08 C00017 A007
200126 500 100 24-JUN-08 C00022 A002
200129 2500 500 20-JUL-08 C00024 A006
200127 2500 400 20-JUL-08 C00015 A003
200128 3500 1500 20-JUL-08 C00009 A002
200135 2000 800 16-SEP-08 C00007 A010
200131 900 150 26-AUG-08 C00012 A012
200133 1200 400 29-JUN-08 C00009 A002
200100 1000 600 08-JAN-08 C00015 A003
200110 3000 500 15-APR-08 C00019 A010
200107 4500 900 30-AUG-08 C00007 A010
200112 2000 400 30-MAY-08 C00016 A007
200113 4000 600 10-JUN-08 C00022 A002
200102 2000 300 25-MAY-08 C00012 A012
To change the value of 'advance_amount' of 'neworder' table with the following condition -
1. modified value for 'advance_amount' is 'ord_amount'*.10,
2. 'ord_date' must be greater than '01-Aug-08',
3. and 'ord_date' must be less than '01-Dec-08',
the following SQL statement can be used:
SQL Code:
-- This SQL code updates the 'advance_amount' column in the 'neworder' table based on a calculation using the 'ord_amount' column, but only for rows where the 'ord_date' column is between '01-Aug-08' and '01-Dec-08'.
-- UPDATE statement begins
UPDATE neworder
-- Specifies the target table 'neworder' where the data will be updated
SET advance_amount=ord_amount*.10
-- Sets the value of the 'advance_amount' column to 10% of the value of the 'ord_amount' column for rows that meet the specified condition
WHERE ord_date>'01-Aug-08' AND ord_date<'01-Dec-08';
-- Specifies the condition for updating rows: only rows where the 'ord_date' column is after '01-Aug-08' and before '01-Dec-08' will be affected by the update operation
Explanation:
- This SQL code uses the UPDATE statement to modify existing records in the 'neworder' table.
- The UPDATE statement specifies the target table 'neworder' where the update operation will be performed.
- The SET clause assigns new values to the 'advance_amount' column.
- The value assigned to 'advance_amount' is calculated as 10% of the value of the 'ord_amount' column for each row.
- The WHERE clause filters the rows to be updated, ensuring that only rows where the 'ord_date' column is between '01-Aug-08' and '01-Dec-08' will be affected by the update operation.
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