Given the following <b>Persons</b> table: <pre><co

Given the following Persons table:

+--------------+
|  LastName    |
+--------------+

which query will put 'Perez' to its LastName field?

Explanation

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Theory

INSERT Query
The SQL INSERT INTO Statement is used to add new rows of data to a table in the database.
Syntax
There are two basic syntaxes of INSERT INTO statement as follows:
```
INSERT INTO TABLE_NAME (column1, column2, column3,...columnN)]  
VALUES (value1, value2, value3,...valueN);
```
Here, column1, column2,...columnN are the names of the columns in the table into which you want to insert data.
You may not need to specify the column(s) name in the SQL query if you are adding values for all the columns of the table. But make sure the order of the values is in the same order as the columns in the table. The SQL INSERT INTO syntax would be as follows:
```
INSERT INTO TABLE_NAME VALUES (value1,value2,value3,...valueN);
```
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INSERT Query Example

Following statements would create six records in CUSTOMERS table:


INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)
VALUES (1, 'Ramesh', 32, 'Ahmedabad', 2000.00 );

INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)
VALUES (2, 'Khilan', 25, 'Delhi', 1500.00 );

You can create a record in CUSTOMERS table using second syntax as follows:


INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY)
VALUES (3, 'kaushik', 23, 'Kota', 2000.00 );

All the above statements would produce the following records in CUSTOMERS table:


| ID | NAME     | AGE | ADDRESS   | SALARY   |
+----+----------+-----+-----------+----------+
|  1 | Ramesh   |  32 | Ahmedabad |  2000.00 |
|  2 | Khilan   |  25 | Delhi     |  1500.00 |
|  3 | kaushik  |  23 | Kota      |  2000.00 |

INSERT Query
Populate one table using another table: You can populate data into a table through select statement over another table provided another table has a set of fields, which are required to populate first table. Here is the syntax:
```
INSERT INTO first_table_name [(column1, column2, ... columnN)] 
   SELECT column1, column2, ...columnN 
   FROM second_table_name
   [WHERE condition];
```
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