How to connect mysql with jupyter notebook

MySQL is one of the most popular open source relational databases. In this article we will explore how to connect to a MySQL database from a Python notebook and perform data access operations.

We will use the MySQLdb, which is a thread-compatible interface to MySQL that provides the Python database API. This package is pre-installed in your Workbench. Open the Jupyter notebooks on your Data Scientist Workbench and choose Python in the top right corner. Create a new cell, enter the following cell and execute it (Ctrl+Enter).

Table of Contents Show

How do I import a database into Jupyter notebook?
How do I add a module to a Jupyter notebook in MySQL?
How do I connect to a MySQL database in python?
Can I run SQL in Anaconda?
How do you display data in a Jupyter notebook?
How does Jupyter notebook connect to database?
Can you use SQL in Jupyter notebook?
How do I download MySQL connector in Python?
Which library is used to connect MySQL Python?
How does Jupyter notebook connect to MySQL database?
Can I use SQL in Jupyter notebook?
How do I connect MySQL with Python?
How do I add a database to Jupyter notebook?

import MySQLdb

Next, enter your database credentials.

#Enter the values for you database connection
dsn_database = "Enter Database name"   # e.g. "MySQLdbtest"
dsn_hostname = "<Enter Hostname"       # e.g.: "mydbinstance.xyz.us-east-1.rds.amazonaws.com"
dsn_port = 3306                        # e.g. 3306 
dsn_uid = "<Enter UserID>"             # e.g. "user1"
dsn_pwd = "<Enter Password"            # e.g. "Password123"

Now establish the database connection.

conn = MySQLdb.connect(host=dsn_hostname, port=dsn_port, user=dsn_uid, passwd=dsn_pwd, db=dsn_database)

Let's create a sample table and insert some data into it.

conn.query("""DROP TABLE IF EXISTS Cars""")
conn.query("""CREATE TABLE Cars(Id INTEGER PRIMARY KEY, Name VARCHAR(20), Price INT)""")
conn.query("""INSERT INTO Cars VALUES(1,'Audi',52642)""")
conn.query("""INSERT INTO Cars VALUES(2,'Mercedes',57127)""")
conn.query("""INSERT INTO Cars VALUES(3,'Skoda',9000)""")
conn.query("""INSERT INTO Cars VALUES(4,'Volvo',29000)""")
conn.query("""INSERT INTO Cars VALUES(5,'Bentley',350000)""")
conn.query("""INSERT INTO Cars VALUES(6,'Citroen',21000)""")
conn.query("""INSERT INTO Cars VALUES(7,'Hummer',41400)""")
conn.query("""INSERT INTO Cars VALUES(8,'Volkswagen',21600)""")

conn.cursor will return a cursor object, you can use this cursor to perform queries.

cursor=conn.cursor()
cursor.execute("""SELECT * FROM Cars""")
cursor.fetchone()

Now you can print out the result set using pretty print:

print "\nShow me the records:\n"
rows = cursor.fetchall()
import pprint
pprint.pprint(rows)

You should see the following results:

Show me the records:

((2L, 'Mercedes', 57127L),
 (3L, 'Skoda', 9000L),
 (4L, 'Volvo', 29000L),
 (5L, 'Bentley', 350000L),
 (6L, 'Citroen', 21000L),
 (7L, 'Hummer', 41400L),
 (8L, 'Volkswagen', 21600L))

It is a good practice to close the connection when you are done.

conn.close()

Good luck!

How To Connect Mysql Database In Jupyter Notebook With Code Examples

In this tutorial, we will try to find the solution to How To Connect Mysql Database In Jupyter Notebook through programming. The following code illustrates this.

# In the python cmd, install packages:
pip3 install pymysql
pip3 install ipython-sql
pip3 install mysqlclient

# in the jupyter notebook:
import pymysql
import pandas as pd

conn=pymysql.connect(host='localhost',port=int(3306),user='root',passwd='YOUR_PASSWORD',db='YOUR_DATABASENAME')

df=pd.read_sql_query("SELECT * FROM 'YOUR_TABLENAME' ",conn)

print(df)

There are many different approaches to solving the same problem How To Connect Mysql Database In Jupyter Notebook. The following section discusses the various other potential solutions.

# %%
%load_ext sql

# %%
%sql mysql+mysqldb://<user>:<password>@localhost/<dataBase>

# %%
%%sql

SELECT *
FROM <table>;

We have demonstrated, with a plethora of illustrative examples, how to tackle the How To Connect Mysql Database In Jupyter Notebook problem.

How do I import a database into Jupyter notebook?

Adding data from your local machine

First, navigate to the Jupyter Notebook interface home page.
Click the “Upload” button to open the file chooser window.
Choose the file you wish to upload.
Click “Upload” for each file that you wish to upload.
Wait for the progress bar to finish for each file.

How do I add a module to a Jupyter notebook in MySQL?

MySQL on Jupyter

Step 1: Install MySQL. Simply follow below commands on your terminal.
Step 2: Install SQLAlchemy.
Step 3: Install ipython-sql.
Step 4: Install mysql-connector-python.
Step 5: Create a new user and schema in MySQL.
Step 6: Import SQLAlchemy and connect to MySQL on Jupyter.

How do I connect to a MySQL database in python?

How to connect MySQL database in Python

Install MySQL connector module. Use the pip command to install MySQL connector Python.
Import MySQL connector module.
Use the connect() method.
Use the cursor() method.
Use the execute() method.
Extract result using fetchall()
Close cursor and connection objects.

To Connect to a MySQL Database

Click Services tab.
Expand the Drivers node from the Database Explorer.
Enter User Name and Password.
Click OK to accept the credentials.
Click OK to accept the default schema.
Right-click the MySQL Database URL in the Services window (Ctrl-5).

Can I run SQL in Anaconda?

Data Science Happens Here Now that we've demonstrated how to connect to a SQL Server instance from Windows, Mac and Linux using Anaconda or Anaconda Enterprise it is possible to use T-SQL queries to interact with that database as you normally would.09-May-2017

How do you display data in a Jupyter notebook?

In a Jupyter notebook, simply typing the name of a data frame will result in a neatly formatted outputs. This is an excellent way to preview data, however notes that, by default, only 100 rows will print, and 20 columns.

How does Jupyter notebook connect to database?

How to Run SQL from Jupyter Notebook – Two Easy Ways

Step 1: Install a Python package to connect to your database.
Step 2: Create a database connection in Jupyter.
Step 3: Run SQL queries using pandas.

Can you use SQL in Jupyter notebook?

The jupyterlab-sql extension is one such useful extension that lets you add a SQL user interface to Jupyter Lab. This has two primary advantages: The SQL tables can be explored with a simple point and click. Tables can also be modified and read with custom queries.

How do I download MySQL connector in Python?

Type the command for the package you want to install:

To install the mysqlclient package, type the following command: Copy pip install mysqlclient.
To install the mysql-connector-python package, type the following command: Copy pip install mysql-connector-python.
To install the pymysql package, type the following command:

Which library is used to connect MySQL Python?

MySQLdb is an interface for connecting to a MySQL database server from Python. It implements the Python Database API v2. 0 and is built on top of the MySQL C API.23-Nov-2021

How does Jupyter notebook connect to MySQL database?

Method 1: Using Pandas Read SQL Query.

Step 1: Install a Python package to connect to your database. We suggest installing the following packages: ... .

Step 2: Create a database connection in Jupyter. Connect a database to a Jupyter notebook. ... .

Step 3: Run SQL queries using pandas..

Can I use SQL in Jupyter notebook?

Step 3: Enter the following magic command. This will load the SQL module in the notebook. Now, with the use of %sql magic, you can use SQL queries directly in Jupyter Notebook.