SQL For Data Analysis > Advanced SQL

Insertion from Multiple Tables

19.7k
Overview

SQL stands for Structured Query Language. It's a language that enables users to enter commands in order to manipulate data inside of a database table. SQL also enables users to perform queries on the data they have stored in the database table.

The most important thing about SQL is that it's able to help with various tasks such as: retrieving information from the database, adding new records, updating existing records and deleting old records from the database.

Inserting data from multiple tables into one in SQL is a common task. This video tutorial will walk you through the process of doing this step-by-step. It will also provide you with some tips on what to avoid when doing so.

3 Things You Need to Know About Inserting Data from Multiple Tables Into One in SQL

Inserting data from multiple tables into one table in SQL is the best way to organise and analyse data. Here are three things you need to know about inserting data from multiple tables into one table.

1) What is the difference between INSERT, MERGE, and UNION?

2) When should I use INSERT or MERGE?

3) How can I avoid errors when inserting data from multiple tables into one table?

How to insert data from multiple tables into one in SQL by using the INSERT INTO statement.

-The first step is to select the table names that you want to insert into and their corresponding column names. 

-The second step is to create an alias for each of these columns so that they are easier to type out later on. 

-The third step is to create a SELECT statement that will return all of the values from these columns together with their aliases, which will be used as placeholders in the INSERT statement. 

-The fourth step is to use this SELECT statement as input for your INSERT INTO statement, inserting the data from your SELECT statement into the table.


Best Practices for Using Multiple Tables in SQL

When designing a database, it is important to have a plan on how you are going to use it. Some of the common scenarios that require the use of multiple tables include:

- When you need to store data about different customers or products with separate entities and values.

- When you need to store information about different aspects of an object like its attributes and behaviour.


See More

SQL is a database management language that helps you to insert data from one table into another table. If you want to insert a row with values from another table into your existing table, SQL will help you do it. This is called an INSERT statement. 

The syntax for the INSERT statement is: INSERT INTO (column1, column2) VALUES(', '');

For example, to insert a row with two columns into your table, you would type: INSERT INTO Name (FirstName, LastName) VALUES('John','Elliott')

This statement would cause an error if the table already had rows and inserts cannot be done on tables that don't have rows.


To insert data into two tables in one query, you need to use the INSERT INTO clause. 

For example, insert the following code into a SQL query: 

INSERT INTO table1 VALUES ('test', 'value1'); 

INSERT INTO table2 VALUES ('test', 'value2'); 

SELECT * FROM table1; SELECT * FROM table2.


Inserting data from multiple tables into one table in SQL can be done using three different approaches. The first approach is to use the JOIN statement. The second approach is using the MERGE statement, and the third approach is using a UNION statement.

The best way to insert data from multiple tables into one table in SQL depends on the scenario and how you want your output to look like.

When you are trying to load data from one table to another in SQL, you need to know the syntax for the two types of tables:

The first type is called a join table. A join table is a table that contains both columns from one or more other tables and also has a column that links those other tables together. In this case, we want to load the data from our employee table into our company_employee_info table. 

The second type is called an inner join. An inner join is a special type of join where all rows in the joined tables must have matching values for both columns in order for them to be included in the result set. In this case, we want to load the data from our company_employee_info into our employee's information.


To get data from many tables, use the INSERT INTO SELECT command with the Join clause. A JOIN clause can be used to retrieve data from many tables. The ON clause is used to link these tables based on the conditions supplied. Let's say we want to combine data from several tables and insert it into a single table.

To combine tables, use the following syntax. Using the phrases UNION or UNION ALL is the simplest technique to join two tables together. These two approaches stack one set of data on top of the other. The distinction between the two keywords is that UNION accepts only separate values, whereas UNION ALL keeps all of the specified values.

Inserting Multiple Values into Multiple Tables in a Single Statement is entirely doable.

The Oracle INSERT ALL statement adds several rows to a table using a single INSERT statement. With just one SQL command, the rows can be inserted into one or multiple tables.

You should be able to perform this using an INSERT INTO MyTable SELECT statement if you have create access. The INSERT INTO command does not create a new table.

Learner's Ratings

3.8

Overall Rating

  • 50%
  • 17%
  • 8%
  • 17%
  • 8%

Reviews

H
Harshit Chauhan
5

How to download in mac m1?

S
Swati Patil
5

Excellent

A
Avinash Rawat
4

I want to assignment answer and data. excellent teach rawatavinash1995@gmail.com

P
Pravin Kashid
5

excellent teaching technique...one of the best course content...

R
Rahul Jadhav
4

hjygtfrhthjkl;

S
Shivam pandey
5

Thankyou sir

D
Dipayan Dutta
5

Excellent Session.

S
SHIKHAR
5

Awesome content

P
Prabhat Yadav
5

Superb course content and easy to understand.

D
Dhrubajyoti Chatterjee
4

Very good to learn.

Show More
Recommended Courses
Course Content

  1. Getting Started
    18m 54s

  1. SQL Datatypes
    10m 5s
  2. SQL Commands
    21m 59s
  3. What is DBMS
    27m 51s
  4. What is RDBMS
    5m 23s

  1. Database Relationships
    11m 35s
  2. Primary Key
    6m 50s
  3. Unique Key
    3m 34s
  4. Foreign Key
    4m 2s
  5. Difference between PK, UK and PK & FK
    6m 6s

  1. SQL Server Installation Step by Step
    8m 2s

  1. How to Create Database in SQL Server
    13m 2s
  2. Assignment : SQL Create Table
    5m 5s

  1. SQL Constraints
    29m 1s
  2. SQL Insert Statement and SQL Alias
    28m 12s

  1. Filtering Data using Selection Command
    31m 53s
  2. Filtering Data using Comparison Operator
    28m 52s
  3. SQL Order by Clause
    25m 56s
  4. Assignment : Ordering and Filtering
    26m 58s

  1. Aggregate Functions in SQL for Data Analysis
    22m 31s
  2. SQL Mathematical Functions for Data Analysis
    21m 31s
  3. SQL String Functions for Data Analysis
    15m 51s
  4. SQL Date & Time Functions for Data Analysis
    17m 20s
  5. SQL Window Functions for Data Analysis
    23m 34s
  6. SQL Miscellaneous Functions
    20m 10s
  7. SQL Functions for Data Analytics - 1
    38m 28s
  8. SQL Functions for Data Analytics - 2
    40m 5s
  9. Rollup and NTile Function
    26m 36s
  10. Row Number Function
    8m 3s
  11. DenseRank and Cumulative Distribution
    29m 12s
  12. How to use SQL Conditional Statements
    4m 22s
  13. How to use SQL Group by Clause
    4m 55s
  14. SQL Practical with Examples
    49m 46s
  15. Assignment : SQL Date and Time
    15m 16s

  1. Type of Joins in SQL - INNER, LEFT
    21m 24s
  2. Type of Joins in SQL - RIGHT,SELF,FULL, CARTESIAN
    15m 14s
  3. SQL Joins Practical Session 1
    22m 17s
  4. SQL Joins Practical Session 2
    23m 29s
  5. SQL Joins Practical Session 3
    27m 43s
  6. SQL Joins Practical Session 4
    22m 26s
  7. SQL Joins Practical Session 5
    29m 41s
  8. Assignment : SQL Joins
    15m 5s
  9. Assignment : SQL Functions 1
    13m 25s
  10. Assignment : SQL Functions 2
    9m 25s

  1. Practice: SQL Subqueries
    26m 41s
  2. Practice: SQL Subqueries & Unions
    22m 29s
  3. SQL Correlated Subqueries Part 1
    20m 21s
  4. SQL Correlated Subqueries Part 2
    30m 51s
  5. SQL Correlated Subqueries Part 3
    30m 45s
  6. SQL Correlated Subqueries Part 4
    25m 7s
  7. SQL Correlated Subqueries Part 5
    19m 42s
  8. Correlated Select, Update & Delete Queries
    33m 15s
  9. SQL Union
    18m 3s
  10. SQL EXCEPT & INTERSECT
    14m 33s
  11. Assignment : SQL SubQueries
    30m 7s

  1. SQL Pivot, UnPivot Practical Example - 1
    37m 28s
  2. SQL Pivot, UnPivot Practical Example - 2
    27m 40s

  1. What are Views?
    22m 19s
  2. Examples of SQL Views Part -1
    16m 41s
  3. Examples of SQL Views Part -2
    17m 47s
  4. Assignment : SQL Views
    10m 17s

  1. What is SQL Index?
    13m 29s
  2. SQL Index types
    24m 50s

  1. Create Tables using Select Statement
    41m 2s
  2. Using Correlated Sub Query, Group By with Select Statement
    40m 2s
  3. Using Group By and Having Clauses with Select Statement
    23m 32s
  4. Using Index Optimizer with Select Statement
    23m 24s
  5. Using Union with Select Statement
    35m 4s
  6. Adding Multiple Records with Insert Statement
    22m 42s
  7. SQL Insert - Considerations and Best Practices
    9m 19s
  8. Insertion from Multiple Tables
    22m 11s
  9. SQL Delete - Types of Delete Operation Part -1
    16m 41s
  10. SQL Delete - Types of Delete Operation Part -2
    11m 38s
  11. Assignment : SQL Insert, Update & Delete
    7m 24s

  1. Loading & Connecting Different Files in SQL
    11m 18s

  1. Course Summary
    9m 6s

  1. Interview Questions Part 1
    22m 2s
  2. Interview Questions Part 2
    20m 56s

  1. Career Guideline
    2m
Enroll For Free