diff --git a/azure-pipelines-docs-integration.yml b/azure-pipelines-docs-integration.yml
index 992ab215e32b..9cf8ea375304 100644
--- a/azure-pipelines-docs-integration.yml
+++ b/azure-pipelines-docs-integration.yml
@@ -96,7 +96,7 @@ stages:
         - script: |
             pip install pytest pytest-azurepipelines
             # TODO enable spark tests
-            pytest -v --docs-tests -m docs --no-spark --mysql --mssql tests/integration/test_script_runner.py
+            pytest -v --docs-tests -m docs --mysql --mssql tests/integration/test_script_runner.py
           displayName: 'pytest'
           env:
             # snowflake credentials
diff --git a/docs/guides/connecting_to_your_data/in_memory/spark.md b/docs/guides/connecting_to_your_data/in_memory/spark.md
index e84573a3fd1c..3f49e4ec4877 100644
--- a/docs/guides/connecting_to_your_data/in_memory/spark.md
+++ b/docs/guides/connecting_to_your_data/in_memory/spark.md
@@ -29,7 +29,7 @@ This will allow you to validate and explore your data.
 
 Import these necessary packages and modules.
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L1-L12
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L1-L10
 ```
 
 <SparkDataContextNote />
@@ -47,23 +47,23 @@ Using this example configuration add in the path to a directory that contains so
   ]}>
   <TabItem value="yaml">
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L37-L47
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L33-L43
 ```
 
 Run this code to test your configuration.
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L49
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L45
 ```
 
 </TabItem>
 <TabItem value="python">
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py#L37-L47
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py#L33-L43
 ```
 
 Run this code to test your configuration.
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py#L49
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py#L45
 ```
 
 </TabItem>
@@ -84,13 +84,13 @@ Save the configuration into your `DataContext` by using the `add_datasource()` f
   ]}>
   <TabItem value="yaml">
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L51
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L47
 ```
 
 </TabItem>
 <TabItem value="python">
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py#L51
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py#L47
 ```
 
 </TabItem>
@@ -102,17 +102,17 @@ Verify your new Datasource by loading data from it into a `Validator` using a `B
 
 Add the variable containing your dataframe (`df` in this example) to the `batch_data` key under `runtime_parameters` in your `BatchRequest`.
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L54-L60
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L50-L56
 ```
 
 :::note Note this guide uses a toy dataframe that looks like this.
 
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L20-L25
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L16-L20
 ```
 :::
 
 Then load data into the `Validator`.
-```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L62-L67
+```python file=../../../../tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py#L58-L63
 ```
 
 <Congratulations />
diff --git a/tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py b/tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py
index 931a6e5dccba..19c6b0d7808e 100644
--- a/tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py
+++ b/tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_python_example.py
@@ -1,10 +1,8 @@
-import findspark
-from pyspark import SparkContext
-from pyspark.sql import SparkSession
 from ruamel import yaml
 
 import great_expectations as ge
 from great_expectations.core.batch import BatchRequest, RuntimeBatchRequest
+from great_expectations.core.util import get_or_create_spark_session
 from great_expectations.data_context import BaseDataContext
 from great_expectations.data_context.types.base import (
     DataContextConfig,
@@ -12,9 +10,7 @@
 )
 
 # Set up a basic spark dataframe
-findspark.init()
-sc = SparkContext(appName="app")
-spark = SparkSession(sc)
+spark = get_or_create_spark_session()
 
 # basic dataframe
 data = [
diff --git a/tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py b/tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py
index 6b30394241c9..383b5c24b86b 100644
--- a/tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py
+++ b/tests/integration/docusaurus/connecting_to_your_data/in_memory/spark_yaml_example.py
@@ -1,10 +1,8 @@
-import findspark
-from pyspark import SparkContext
-from pyspark.sql import SparkSession
 from ruamel import yaml
 
 import great_expectations as ge
 from great_expectations.core.batch import BatchRequest, RuntimeBatchRequest
+from great_expectations.core.util import get_or_create_spark_session
 from great_expectations.data_context import BaseDataContext
 from great_expectations.data_context.types.base import (
     DataContextConfig,
@@ -12,9 +10,7 @@
 )
 
 # Set up a basic spark dataframe
-findspark.init()
-sc = SparkContext(appName="app")
-spark = SparkSession(sc)
+spark = get_or_create_spark_session()
 
 # basic dataframe
 data = [