From de01572c0dc823fbe0448702855d42b035c24d18 Mon Sep 17 00:00:00 2001
From: rwitzel <rodrigo.witzel@gmx.de>
Date: Tue, 16 Nov 2021 14:51:45 +0100
Subject: [PATCH] adresses #1 : Documented what to do when the Spark session
 cannot be created as described in the user's specific Spark environment.
 Because the comments in #1 indicate that the current documentation does not
 emphasises enough the importance of having the JARs installed.

---
 README.md | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/README.md b/README.md
index 8e605fc..f23ebfe 100644
--- a/README.md
+++ b/README.md
@@ -45,7 +45,13 @@ spark = (SparkSession
     .config("spark.jars.packages", pydeequ.deequ_maven_coord)
     .config("spark.jars.excludes", pydeequ.f2j_maven_coord)
     .getOrCreate())
+```
+
+In case you can't programmatically configure the Spark session
+this way (e.g. in Databricks), check your vendor's documentation
+about installing JARs from Maven Central.
 
+```
 df = spark.sparkContext.parallelize([
             Row(a="foo", b=1, c=5),
             Row(a="bar", b=2, c=6),