MOTOSHARE 🚗🏍️
Turning Idle Vehicles into Shared Rides & Earnings

From Idle to Income. From Parked to Purpose.
Earn by Sharing, Ride by Renting.
Where Owners Earn, Riders Move.
Owners Earn. Riders Move. Motoshare Connects.

With Motoshare, every parked vehicle finds a purpose. Owners earn. Renters ride.
🚀 Everyone wins.

Start Your Journey with Motoshare

Structured Query Language (SQL)

Structured Query Language (SQL) is the backbone of data management in relational database systems. SQL queries allow you to interact with databases to retrieve, manipulate, and store data. There are some fundamental SQL queries that help you fetch and store data effectively.

1. Retrieving Data

a. Select All Records from a Table

SELECT * FROM tablename;

This query retrieves all records from a specified table. It’s a basic query for selecting all data for analysis.

b. Select Specific Columns

SELECT column1, column2 FROM tablename;

Use this query to retrieve specific columns from a table, which can be useful for focusing on relevant data.

c. Filter Data with WHERE Clause

SELECT * FROM tablename WHERE condition;

The ORDER BY clause lets you sort the results in ascending (ASC) or descending (DESC) order. For example, you can sort products by price.

e. Limiting Results

SELECT * FROM tablename LIMIT n;

Limit the number of results returned by the query. This is useful for pagination or when you only need a sample of data.

2. Storing Data

a. Inserting Data into a Table

INSERT INTO tablename (column1, column2) VALUES (value1, value2);

Use this query to insert new records into a table. Specify the columns and values you want to insert.

b. Updating Existing Records

UPDATE tablename SET column1 = newvalue1 WHERE condition;

The UPDATE statement allows you to modify existing records that match a specific condition. For example, you can change a user’s email address.

c. Deleting Records

DELETE FROM tablename WHERE condition;

DELETE removes records from a table based on specified conditions. Be cautious when using this query to avoid data loss.

d. Creating a New Table

CREATE TABLE newtablename (
  column1 datatype,
  column2 datatype,
  ...
);

Create a new table with specified columns and data types. This is useful when designing a new database schema.

e. Adding Columns to an Existing Table

ALTER TABLE tablename ADD columnname datatype;

The ALTER TABLE statement allows you to modify the structure of an existing table. You can add new columns to accommodate additional data.

SQL queries are essential tools for retrieving and storing data in relational databases. Whether you’re working with large datasets, maintaining databases, or designing new systems, these fundamental SQL queries provide a solid foundation for data management. Mastering SQL empowers you to manipulate data effectively, ensuring its accuracy and integrity in your applications or analytical endeavors.

Related Posts

Become a DevOps Engineer in Mumbai with Real Projects

Introduction: Problem, Context & Outcome Engineers across Mumbai work in fast-paced delivery environments where releases happen frequently, systems scale continuously, and downtime costs money. However, many professionals…

DevOps Expertise for CI/CD, Cloud, and Automation—Malaysia

Introduction: Problem, Context & Outcome Engineering teams across modern organizations adopt DevOps to accelerate releases and improve system reliability. However, many teams still experience deployment failures, slow…

DevOps Expertise for CI/CD, Cloud, and Automation—Kolkata

Introduction: Problem, Context & Outcome Many engineering teams invest in DevOps tools expecting faster releases and improved stability. However, deployments still fail, recovery remains slow, and coordination…

DevOps Expertise for CI/CD, Cloud, and Automation—Hyderabad.

Introduction: Problem, Context & Outcome Many engineering teams adopt DevOps tools expecting faster delivery and higher stability. However, releases still fail, recovery takes too long, and teams…

DevOps Expertise for CI/CD, Cloud, and Automation—Delhi.

Introduction: Problem, Context & Outcome Many engineering teams adopt DevOps tools expecting faster releases, yet they still face unstable deployments, frequent rollbacks, and unclear accountability. Although automation…

DevOps Expertise for CI/CD, Cloud, and Automation—Chennai

Introduction: Problem, Context & Outcome Many engineering teams adopt DevOps tools with high expectations, yet they continue to face slow releases, unstable deployments, and repeated operational issues….

0 0 votes
Article Rating
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x