Clarified docs about Scala version

marklogic · Nov 8, 2024 · 0c3fc03 · 0c3fc03
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diff --git a/docs/getting-started/pyspark.md b/docs/getting-started/pyspark.md
@@ -16,7 +16,8 @@ obtaining the connector and deploying an example application to MarkLogic.
 The [PySpark installation guide](https://spark.apache.org/docs/latest/api/python/getting_started/install.html) describes
 how to install PySpark. As noted in that guide, you will need to install Python 3 first if you do not already have it
 installed. [pyenv](https://github.com/pyenv/pyenv#installation) is a popular choice for doing so, as it simplifies
-installing and switching between multiple versions of Python.
+installing and switching between multiple versions of Python. Additionally, be sure to select a PySpark installation 
+that depends on Scala 2.12 and not Scala 2.13.
 
 Once you have installed PySpark, run the following from a command line to ensure PySpark is installed correctly:
 

diff --git a/docs/index.md b/docs/index.md
@@ -12,7 +12,8 @@ from any data source that Spark supports and then writing it to MarkLogic.
 
 The connector has the following system requirements:
 
-* Apache Spark 3.3.0 or higher. The connector has been tested with the latest versions of Spark 3.3.x of 3.4.x.
+* Apache Spark 3.5.3 is recommended, but earlier versions of Spark 3.4.x and 3.3.x should work as well. When choosing 
+[a Spark distribution](https://spark.apache.org/downloads.html), you must select a distribution that uses Scala 2.12 and not Scala 2.13.
 * For writing data, MarkLogic 9.0-9 or higher.
 * For reading data, MarkLogic 10.0-9 or higher.