amazon linux 2 installation

docs/en/install.md

@@ -467,6 +467,49 @@ gcloud dataproc clusters create ${CLUSTER_NAME} \
 
 </div>
 
+## Amazon Linux 2 Support
+
+```bash
+# Update Package List & Install  Required Packages
+sudo yum update
+sudo yum install -y amazon-linux-extras
+sudo yum -y install python3-pip
+
+# Create Python virtual environment and activate it:
+python3 -m venv .sparknlp-env
+source .sparknlp-env/bin/activate
+```
+
+Check JAVA version: 
+- For Sparknlp versions above 3.x, please use JAVA-11
+- For Sparknlp versions below 3.x and SparkOCR, please use JAVA-8
+
+Checking Java versions installed on your machine: 
+```bash
+sudo alternatives --config java
+```
+
+You can pick the index number (I am using java-8 as default - index 2):
+
+</div><div class="h3-box" markdown="1">
+
+<img class="image image--xl" src="/assets/images/installation/amazon-linux.png" style="width:100%; align:center; box-shadow: 0 3px 6px rgba(0,0,0,0.16), 0 3px 6px rgba(0,0,0,0.23);"/>
+
+</div><div class="h3-box" markdown="1">
+
+If you dont have java-11 or java-8 in you system, you can easily install via:
+
+```bash
+sudo yum install java-1.8.0-openjdk
+```
+
+Now, we can start installing the required libraries:
+
+```bash
+pip install pyspark==3.1.2
+pip install spark-nlp
+```
+
 ## Docker Support
 
 For having Spark NLP, PySpark, Jupyter, and other ML/DL dependencies as a Docker image you can use the following template:

docs/en/licensed_install.md

@@ -413,6 +413,76 @@ As you see, we did not set `.master('local[*]')` explicitly to let YARN manage t
 Or you can set `.master('yarn')`.
 
 
+## Amazon Linux 2 Support
+
+```bash
+# Update Package List & Install  Required Packages
+sudo yum update
+sudo yum install -y amazon-linux-extras
+sudo yum -y install python3-pip
+
+# Create Python virtual environment and activate it:
+python3 -m venv .sparknlp-env
+source .sparknlp-env/bin/activate
+```
+
+Check JAVA version: 
+- For Sparknlp versions above 3.x, please use JAVA-11
+- For Sparknlp versions below 3.x and SparkOCR, please use JAVA-8
+
+Checking Java versions installed on your machine: 
+```bash
+sudo alternatives --config java
+```
+
+You can pick the index number (I am using java-8 as default - index 2):
+
+</div><div class="h3-box" markdown="1">
+
+<img class="image image--xl" src="/assets/images/installation/amazon-linux.png" style="width:100%; align:center; box-shadow: 0 3px 6px rgba(0,0,0,0.16), 0 3px 6px rgba(0,0,0,0.23);"/>
+
+</div><div class="h3-box" markdown="1">
+
+If you dont have java-11 or java-8 in you system, you can easily install via:
+
+```bash
+sudo yum install java-1.8.0-openjdk
+```
+
+Now, we can start installing the required libraries:
+
+```bash
+pip install jupyter
+```
+
+We can start jupyter notebook via:
+```bash
+jupyter notebook
+```
+
+```bash
+### Now we are in the jupyter notebook cell:
+import json
+import os
+
+with open('sparknlp_for_healthcare.json) as f:
+    license_keys = json.load(f)
+
+# Defining license key-value pairs as local variables
+locals().update(license_keys)
+
+# Adding license key-value pairs to environment variables
+os.environ.update(license_keys)
+
+# Installing pyspark and spark-nlp
+! pip install --upgrade -q pyspark==3.1.2 spark-nlp==$PUBLIC_VERSION
+
+# Installing Spark NLP Healthcare
+! pip install --upgrade -q spark-nlp-jsl==$JSL_VERSION  --extra-index-url https://pypi.johnsnowlabs.com/$SECRET
+```
+
+
+
 ## Get a Spark NLP for Healthcare license 
 
 You can ask for a free trial for Spark NLP for Healthcare [here](https://www.johnsnowlabs.com/install/). This will automatically create a new account for you on [my.JohnSnowLabs.com](https://my.johnsnowlabs.com/). Login in to your new account and from `My Subscriptions` section, you can download your license key as a json file.