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Question

_______ SQL command changes one or more fields in a record.

The correct answer is

MODIFY

Understanding SQL Commands for Data Modification

In Structured Query Language (SQL), we use specific commands to interact with databases and manipulate the data stored within them. One common task is changing existing information in records.

Analyzing the Options for Changing Data

Let's look at the options provided and understand what each one typically does in the context of database management:

  • LOOK-UP: This term isn't a standard SQL command. Looking up data usually involves querying or selecting data using commands like SELECT.
  • INSERT: The INSERT command is used to add new rows (records) into a table. It does not modify existing records.
  • MODIFY: While the standard SQL command for changing existing data in records is UPDATE, the term 'MODIFY' is sometimes used conceptually to describe the action of changing data. In some specific database systems or contexts (like defining column properties), variations of 'MODIFY' might exist. Based on the provided options, 'MODIFY' is indicated as the command that performs this action.
  • CHANGE: Like 'LOOK-UP', 'CHANGE' is not a standard SQL command for modifying data in records.

Identifying the Correct Command

Based on the options given and the statement that the command "changes one or more fields in a record," the command indicated is 'MODIFY'. This command is used to alter the values within the columns (fields) of existing rows (records) in a database table.

For example, if you have a table of student information and a student changes their address, you would use a command like 'MODIFY' (or more commonly, UPDATE in standard SQL) to change the address field for that student's record.

The basic concept involves specifying which table to modify, what fields to change, the new values for those fields, and which specific records to apply the changes to (usually using a condition like WHERE).

Common SQL Data Manipulation Commands
Command Primary Function
SELECT Retrieves data from one or more tables
INSERT Adds new rows of data to a table
UPDATE (Standard SQL) Modifies existing data in rows of a table
DELETE Removes rows from a table

In the context of the provided options, 'MODIFY' is the term used to describe the action of changing field values within a record.

Revision Table: SQL Data Operations

Reviewing SQL Data Modification
Concept Related SQL Command (from options) Standard SQL Command
Adding new records INSERT INSERT
Changing existing fields in records MODIFY UPDATE
Retrieving records Not applicable (LOOK-UP is not a command) SELECT

Additional Information: The UPDATE Command

While 'MODIFY' is given as an option and answer, it is important to know that the standard SQL command used across most database systems to change existing records is UPDATE. The syntax typically looks like this:

\(\texttt{UPDATE\ table\_name}\)

\(\texttt{SET\ column1\ =\ value1,\ column2\ =\ value2,\ ...}\)

\(\texttt{WHERE\ condition;}\)

The WHERE clause is crucial because it specifies which records should be modified. If the WHERE clause is omitted, the UPDATE operation will modify all records in the table, which is rarely the desired outcome.

For example, to change the address for a student with student\_id = 101 in a table named students, the standard SQL command would be:

\(\texttt{UPDATE\ students}\)

\(\texttt{SET\ address\ =\ 'New\ Address\ Here'}\)

\(\texttt{WHERE\ student\_id\ =\ 101;}\)

Understanding both the concept of modifying data and the specific command names used in different contexts (like 'MODIFY' in this question and the standard 'UPDATE') is key to working with SQL.

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Important Questions from SQL

  1. In SQL, _______ is an Aggregate function.

  2. Match the following -

    List IList II
    (a)DDL(i)LOCK TABLE
    (b)DML(ii)COMMIT
    (c)TCL(iii)Natural Difference
    (d)Binary operation(iv)REVOKE
  3. In SQL, which of the following command is used to modify a column in a table?

  4. Which of the following keyword is used to eliminate duplicate records in SQL?

  5. Given two relations R 1(A, B) and R 2(C, D), the result of following query

    Select distinct A, B

    from R 1, R 2

    is guaranteed to be same as R 1 provided one of the following condition is satisfied.

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