Nameerror: name ‘spark’ is not defined

Are you dealing with Python nameerror: name ‘spark’ is not defined  error message right now?

And you’re having a hard time trying to figure out how to fix the name ‘spark’ is not defined

Continue reading as we will show you how to resolve this error.

In this article, we explore what this error means, and why it occurs, and we’ll guide you on how you will troubleshoot this error.

What is the “spark” module in Python?

The spark module in Python is a package that provides an interface for programming Spark with Python.

It includes modules for SQL, machine learning, and graph processing.

What is “nameerror: name spark is not defined”?

The error message nameerror: name ‘spark’ is not defined occurs when the Spark module is not available in the program’s namespace or in the current program.

In addition to that, this error message is indicating that you are trying to use a variable or function named spark.

However, that name has not been defined or assigned a value.

Why does “nameerror: name spark is not defined occur”?

The name ‘spark’ is not defined error message can happen due to several reasons, such as:

❌ Spark is not installed.

❌ Spark is not imported correctly

❌ When you forget to import a library or module that defines spark.

❌ When you misspelled the name of the variable or function.

❌ When you’re trying to use spark before it has been defined.

How to fix “nameerror: name ‘spark’ is not defined”?

To fix the nameerror: name spark is not defined, you have to ensure that the required library or framework is properly installed and imported, or define the “spark” variable or object within the code itself.

Here are the following solutions that will help you to fix the error:

1. Install PySpark

Ensure that you have installed PySpark. If not, you can install it using the following command:

If you are using Python 2:

✅ pip install pyspark

If you are using Python 3:

✅ pip3 install pyspark

2. Import PySpark modules

Ensure that you have imported the necessary PySpark modules at the beginning of your program.

 from pyspark.sql.session import SparkSession
sc = SparkContext.getOrCreate()
spark = SparkSession(sc)

3. Define spark variable

If you’re using a variable or function named spark, ensure that it is defined before you use it.

from pyspark.sql import SparkSession

spark = SparkSession.builder.appName("MyApp").getOrCreate()

df ="sampledata.csv")

If you are calling createDataFrame(), you must follow the following code:

✅ df = sqlContext.createDataFrame(data, ["features"])


✅ df = sc.createDataFrame(data, ["features"])

Rather than using the code below:

df = spark.createDataFrame(data, ["features"])

4. Use findspark library

Using the findspark library allows users to locate and use the Spark installation on the system.
By initializing the findspark module and importing the necessary you can create the “spark” object and perform Spark operations.

import findspark

from pyspark.sql import SparkSession

# Create a SparkSession object
spark = SparkSession.builder.appName("myApp").getOrCreate()

# Print the version of Spark
print("Spark version:", spark.version)

5. Check Python version compatibility

Ensure that your Python version is compatible with the version of PySpark that you have installed.

For instance: PySpark 3.x requires Python 3.6 or recent.

import sys


6. Install Java Development Kit (JDK)

Spark requires Java Development Kit (JDK) 8 or later to be installed on your machine. You can download the latest version of JDK from the Oracle website or install OpenJDK.


The error message nameerror: name ‘spark’ is not defined occurs when the Spark module is not available in the program’s namespace or in the current program.

This article already provides solutions for this error to help you fix the Python nameerror name spark is not defined error message.

You could also check out other “nameerror” articles that may help you in the future if you encounter them.

Hoping that this article helps you fix the error. Thank you for reading itsourcecoders 😊