EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials SQL Tutorial SQL ROW
Secondary Sidebar
SQL Tutorial
  • Basic
    • What is SQL
    • Careers in SQL
    • Careers in SQL Server
    • IS SQL Microsoft?
    • SQL Management Tools
    • What is SQL Developer
    • Uses of SQL
    • How to Install SQL Server
    • What is SQL Server
    • SQL Quick References
    • SQL Like Wildcard
    • SQL Like with Multiple Values
    • SQL Examples
    • SQL Server Versions
    • SQL DROP DB
    • SQL Case Insensitive
    • SQL Expressions
    • Database in SQL
    • SQL Data Types
    • SQL Keywords
    • Composite Key in SQL
    • SQL WAITFOR
    • SQL Constraints
    • Transactions in SQL
    • First Normal Form
    • SQL Server Data Types
    • SQL Administration
    • SQL Variables
    • SQL Enum
    • SQL GROUP BY WHERE
    • SQL ROW
    • SQL EXECUTE
    • SQL EXCLUDE
    • SQL Performance Tuning
    • SQL UUID
    • Begin SQL
    • SQL Update Join
    • SQL Between Dates
    • Cheat sheet SQL
  • Operators
    • SQL Operators
    • SQL Arithmetic Operators
    • SQL Logical Operators
    • SQL String Operators
    • Ternary Operator in SQL
  • Commands
    • SQL Commands
    • sqlplus set commands
    • SQL Alter Command
    • SQL Commands Update
    • SQL DML Commands
    • SQL DDL Commands
    • FETCH in SQL
  • Clause
    • SQL Clauses
    • SQL IN Operator
    • SQL SELECT DISTINCT Multiple Columns
    • SQL Null Values
    • SQL LIKE
    • SQL LIKE Query
    • SQL LIKE Operator
    • SQL LIKE Clause
    • SQL NOT Operator
    • SQL Minus
    • SQL WHERE Clause
    • SQL with Clause
    • SQL HAVING Clause
    • SQL HAVING Clause
    • SQL GROUP BY DAY
    • ORDER BY Clause in SQL
    • SQL ORDER BY CASE
    • SQL ORDER BY DESC
    • SQL ORDER BY DATE
    • SQL ORDER BY Alphabetical
    • SQL ORDER BY Ascending
    • SQL Order by Count
    • SQL GROUP BY Month
    • SQL GROUP BY Multiple Columns
    • SQL GROUPING SETS
  • Queries
    • SQL Insert Query
    • SQL SELECT Query
    • SQL SELECT RANDOM
    • SQL Except Select
    • SQL Subquery
    • SQL SELECT DISTINCT
    • SQL WITH AS Statement
  • Keys
    • SQL Keys
    • SQL Foreign Key
    • Primary Key in SQL
    • Foreign Key in SQL
    • Unique Key in SQL
    • SQL UNIQUE Constraint
    • SQL Primary Key
    • Alternate Key in SQL
    • SQL Super Key
  • Functions
    • SQL Date Function
    • SQL Server Functions
    • SQL String Functions
    • SQL Compare String
    • Timestamp to Date in SQL
    • SQL REGEX
    • SQL Window Functions
    • SQL Syntax
    • SQL CONCAT
    • SQL ALTER TABLE
    • SQL MOD()
    • SQL Timestamp
    • SQL Min and Max
    • SQL TO_DATE()
    • SQL DATEADD()
    • SQL DATEDIFF()
    • SQL HOUR()
    • SQLite? functions
    • ANY in SQL
    • LIKE Query in SQL
    • SQL NOT NULL
    • SQL NOT IN
    • SQL MAX()
    • SQL MIN()
    • SQL SUM()
    • SQL COUNT
    • SQL identity
    • SQL DELETE Trigger
    • SQL Declare Variable
    • SQL Text Search
    • SQL COUNT DISTINCT
    • SQL TEXT
    • SQL Limit Order By
    • BETWEEN in SQL
    • LTRIM() in SQL
    • TOP in SQL
    • SQL Select Top
    • Merge SQL
    • SQL TRUNCATE()
    • SQL UNION
    • SQL ALL
    • SQL INTERSECT
    • SQL Alias
    • SQL Server Substring
    • CUBE in SQL
    • SQL RANK()
    • SQL CTE
    • SQL LAG()
    • SQL MID
    • SQL avg()
    • SQL WEEK
    • SQL DELETE
    • SQL DATEPART()
    • SQL DECODE()
    • SQL DENSE_RANK()
    • SQL NTILE()
    • SQL NULLIF()
    • SQL Stuff
    • SQL Ceiling
    • SQL EXISTS
    • SQL LEAD()
    • SQL COALESCE
    • SQL BLOB
    • SQL ROW_NUMBER
    • SQL Server Replace
    • SQL Ranking Function
    • SQL Server Permission
  • T-SQL
    • T-SQL pivot
    • T-SQL Formatter
    • T-SQL TRY CATCH
    • T-SQL CTE
    • T-SQL CASE
    • T-SQL DATEPART
    • T-SQL Date Format
    • T-SQL ROUND
    • T-SQL Loop
    • T-SQL IIF
    • T-SQL Union
    • T-SQL CREATE TABLE
    • T-SQL INSERT
    • T-SQL Stuff
    • T-SQL ISNULL
    • T-SQL ADD Column
    • T-SQL DATEDIFF
  • Joins
    • Join Query in SQL
    • Types of Joins in SQL
    • Types of Joins in SQL Server
    • SQL Inner Join
    • SQL Join Two Tables
    • SQL Delete Join
    • SQL Left Join
    • LEFT OUTER JOIN in SQL
    • SQL Right Join
    • SQL Cross Join
    • SQL Outer Join
    • SQL Full Join
    • SQL Self Join
    • Natural Join SQL
    • SQL Multiple Join
  • Advanced
    • MDF File in SQL Server
    • SQL Aliases
    • SQL Hosting
    • SQL Auto Increment
    • SQL Injection
    • SQL Wildcards
    • SQL Check
    • SQL Indexes
    • Select Distinct
    • SQL BETWEEN
    • SQLPlus spool
    • SQL Create Table
    • SQL Schema
    • Comparison Operators in SQL
    • SQL_plus
    • SQL Formatter
    • SQL LEFT INNER JOIN
    • SQL Plus Command
    • SQLPlus not found
    • SQL Injection Attack
    • Aggregate Functions in SQL
    • SQL REVOKE
    • SQL Select Distinct Count
    • IF ELSE Statement in SQL
    • SQL CASE Statement
    • SQL While Loop
    • SQL BIGINT
    • SQL Crosstab
    • SQL Wildcard Character
    • SQL INSTR()
    • SQL now
    • SQL synonyms
    • SQLite?export to csv
    • What is Procedure in SQL
    • Stored Procedure in SQL?
    • SQL Server Constraints
    • SQL DELETE ROW
    • Column in SQL
    • Table in SQL
    • SQL Virtual Table
    • SQL Merge Two Tables
    • SQL Table Partitioning
    • SQL Temporary Table
    • SQL Clone Table
    • SQL Rename Table
    • SQL LOCK TABLE
    • SQL Clear Table
    • SQL DESCRIBE TABLE
    • SQL Mapping
    • Cursors in SQL
    • AND in SQL
    • Wildcard in SQL
    • SQL FETCH NEXT
    • SQL Views
    • SQL Delete View
    • Triggers in SQL
    • SQL UPDATE Trigger
    • SQL AFTER UPDATE Trigger
    • SQL Update Statement
    • SQL DROP TRIGGER
    • SQL DROP Table
    • Types of SQL Views
    • SQL Port
    • SQL Clustered Index
    • SQL COMMIT
    • Distinct Keyword in SQL
    • PARTITION BY in SQL
    • SQL Set Operators
    • SQL UNION ALL
    • Metadata in SQL
    • SQL Bulk Insert
    • Array in SQL
    • SQL REGEXP
    • JSON in SQL
    • SQL For loop
    • EXPLAIN in SQL
    • ROLLUP in SQL
    • Escape Character SQL
    • SQL Cluster
    • SQL Backup
    • SQL Pattern Matching
    • SQL Users
    • ISNULL SQL Server
    • SQL pivot
    • SQL Import CSV
    • SQL if then else
    • SQL ignore-case
    • SQL Matches
    • SQL Search String
    • SQL Column Alias
    • SQL extensions
    • SQL Substring Function
    • Charindex SQL
  • SqlAlchemy
    • What is SQLAlchemy
    • SqlAlchemy ORM
    • SQLAlchemy count
    • SQLAlchemy update object
    • SQLAlchemy pip
    • SQLAlchemy Connection
    • SQLAlchemy Transaction
    • SQLAlchemy Metadata
    • SQLAlchemy Raw SQL
    • SQLAlchemy Filter in List
    • SQLAlchemy Alias
    • SQLAlchemy unique
    • SQLAlchemy JSONB
    • SQLAlchemy Async
    • SQLAlchemy Types
    • SQLAlchemy Many to Many
    • SQLAlchemy Example
    • SQLAlchemy Model
    • SQLAlchemy Data Types
    • SQLAlchemy Filter
    • SQLAlchemy SQLite
    • SQLAlchemy DateTime
    • SQLAlchemy create_engine
    • SQLAlchemy Delete
    • SQLAlchemy Migrations
  • NoSQL
    • NoSQL Databases List
    • NoSQL Data Modeling
    • Types of NoSQL Databases
    • NoSQL Injection
    • NoSQL vs SQL Databases
    • NoSQL Use Cases
    • NoSQL Key Value
  • Interview Questions
    • SQL Interview Questions
    • Advance SQL Interview Questions
    • SQL Joins Interview Questions
    • SQL Server Interview Questions
    • SQL Current Month

SQL ROW

SQL ROW

Introduction to SQL ROW

A row in SQL or any relational database is basically a tuple that holds implicitly structured data values in a database table. For the uninitiated, a tuple in any programming language is a set of multiple data values that forms a single record for a particular relation. Rows and columns in SQL can be considered similar to rows of a grid or matrix, where each row contains values for every column. Rows form the building blocks of any relational database.

The highlighted tuple or row forms a row in the relational database.

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

SQL ROW 1

Creating a Row Structure

It is logical to believe that in order to create a row, we must first create a table. A row to a table is like soul to the body. Ergo, to begin with, let us create a database table called “students”. We can use the following code snippet to create the said table.

Code:

CREATE TABLE students (
roll_no int NOT NULL PRIMARY KEY,
student_name VARCHAR(255),
degree_major VARCHAR(255) NOT NULL,
degree_year VARCHAR(255)
);

The given CREATE TABLE statement will create a structure where each row in the table will consist of roll_no, student_name, degree_major, and degree_year values.

Adding Rows in a Database Table

A database table is like a blank sheet without any values. Once we add values to the defined structure or outline, the rows hold a meaningful relationship for the added values. Therefore, here is how you add a row in the datatable.

1. Insert statement for adding a row

Code:

INSERT INTO students(
roll_no, student_name, degree_major, degree_year)
VALUES (1,'Deep Jain','Computer Science Engineering','I');

The command got executed successfully, thereby creating a row in the students table. The said row can be visualized using a SELECT query. We can fetch all the rows from any table using a SELECT * or SELECT ALL statement.

Code:

SELECT * FROM students;

Output:

SQL ROW 2

Now we have a row with data values in the student’s table.

2. Insert statement for adding multiple rows

You must be wondering how to add multiple rows in a datatable. It’s simple, we can use the same good old INSERT statement in the following manner.

Code:

INSERT INTO public.students(
roll_no, student_name, degree_major, degree_year)
VALUES (2,'Drake G','Biotech Engineering','IV'),
(3,'Mathew Silverman','Electrical Engineering','II');

The INSERT query just created two more rows in the student’s table. Have a look for yourself using the SELECT statement.

Code:

SELECT * FROM students;

Output:

SQL ROW 3

Deleting a Row from the Database Table

When it comes to deleting/removing one or more rows from a database table, we use the DELETE statement.

1. DELETE statement for deleting a row

Code:

DELETE FROM students
WHERE degree_year = 'IV';

We successfully removed a row where degree_year value is ‘IV’.

Now, the student’s table looks something like this.

Code:

SELECT * FROM students;

Output:

SQL ROW 4

2. DELETE statement for deleting all rows

In order to delete all the rows in the database table, use the DELETE statement without the WHERE clause.

Code:

DELETE FROM students;

Modifying or Updating an Existing Row in the Data Table

What if you do not want to delete a row but modify some values in it. This can be achieved using an UPDATE statement.

Here is an example to update the roll_no of a student named ‘Mathew Silverman’ to 2 instead of 3.

Code:

UPDATE students
SET roll_no = 2
WHERE roll_no = 3;

Command got executed successfully. Let’s check if it’s reflected in the table.

Code:

SELECT * FROM students;

Output:

SQL ROW 5

The row has been successfully updated.

Assigning Row Numbers to Rows in the Data Table

Suppose we want to sequentially arrange rows in the database based on a column value. We can do so by using the ROW_NUMBER function in SQL. It helps us in fetching data rows based on their row number.

Here is how you can add row numbers to existing rows in the datatable.

Code:

SELECT
roll_no,
student_name,
degree_major,
degree_year,
ROW_NUMBER () OVER (ORDER BY roll_no)
FROM
students;

Output:

Assigning

Filtering Rows for Final Result Set

When fetching rows for the final result set, we might not always want to fetch all the rows from the said table. We can filter rows using a WHERE, HAVING, LIMIT or TOP clause.

Here is how to filter rows using the WHERE clause.

Code:

SELECT
roll_no,
student_name,
degree_major,
degree_year
FROM
students
WHERE degree_major = 'Electrical Engineering';

Output:

Filtering

Here is how to limit the number of rows appearing in the final result set.

Code:

SELECT * FROM students
LIMIT 1;

Output:

SQL ROW 8

Adding Constraints to Row Values

We cannot directly add constraints to a row in SQL, but we can add constraints such as NOT NULL, UNIQUE, CHECK, etc. to columns which will eventually get reflected in the rows.

Here is how we can add constraints to an existing table.

Code:

ALTER TABLE students
ADD CONSTRAINT unique_class UNIQUE(degree_year);

The unique_class constraint has been successfully created.

Let’s try inserting a new row with a duplicate value for degree_year.

Code:

INSERT INTO students(
roll_no, student_name, degree_major, degree_year)
VALUES (3,'Rohan Joshi','Integrated Physics','I');

Output:

Adding Constraints

See the new row could not be inserted in the table. Now try this next query with a unique value for degree_year.

Code:

INSERT INTO students(
roll_no, student_name, degree_major, degree_year)
VALUES (3,'Rohan Joshi','Integrated Physics','III');

The query returned successfully. The new row looks something as follows.

Code:

SELECT * FROM students;

Output:

SQL ROW 10

Conclusion – SQL ROW

A row can be considered as the building block of any relational database. It is the tuple that holds data values together for each relation in the table. If you know how to work with rows, you know how to work in any relational database.

Recommended Articles

We hope that this EDUCBA information on “SQL ROW” was beneficial to you. You can view EDUCBA’s recommended articles for more information.

  1. SQL Clone Table
  2. SQL ORDER BY CASE
  3. SQL ORDER BY Ascending
  4. SQL Table Partitioning
Popular Course in this category
JDBC Training (6 Courses, 7+ Projects)
  6 Online Courses |  7 Hands-on Projects |  37+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

PHP Training (5 Courses, 3 Project)4.9
Windows 10 Training (4 Courses, 4+ Projects)4.8
SQL Training Program (10 Courses, 8+ Projects)4.7
PL SQL Training (4 Courses, 2+ Projects)4.7
Oracle Training (17 Courses, 8+ Projects)4.7
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2023 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more