DOCS-12076 - Add a note that the Hadoop connector is no longer suppor… (#458)

Author: jdestefano-mongo

source/includes/hadoop-eol-spark.rst

@@ -0,0 +1,6 @@
+.. admonition:: MongoDB Connector for Hadoop is no longer supported
+   :class: important
+
+   If you would like to access MongoDB databases using the Apache Spark
+   libraries, use the
+   `MongoDB Connector for Spark <https://docs.mongodb.com/spark-connector/current/>`__.

source/tools/hadoop.txt

@@ -12,6 +12,8 @@ MongoDB Connector for Hadoop
    :depth: 1
    :class: singlecol
 
+.. include:: /includes/hadoop-eol-spark.rst
+
 The MongoDB Connector for Hadoop is a plugin for Hadoop that provides
 the ability to use MongoDB as an input source and/or an output destination.
 

source/tutorial/getting-started-with-hadoop.txt

@@ -12,6 +12,8 @@ Getting Started with Hadoop
    :depth: 1
    :class: singlecol
 
+.. include:: /includes/hadoop-eol-spark.rst
+
 MongoDB and Hadoop are a powerful combination and can be used together
 to deliver complex analytics and data processing for data stored in
 MongoDB. The following guide shows how you can start working with the

source/use-cases/hadoop.txt

@@ -12,6 +12,8 @@ Hadoop and MongoDB Use Cases
    :depth: 1
    :class: singlecol
 
+.. include:: /includes/hadoop-eol-spark.rst
+
 The following are some example deployments with MongoDB and Hadoop. The
 goal is to provide a high-level description of how MongoDB and Hadoop
 can fit together in a typical Big Data stack. In each of the following