datastax · aashishs101 · Feb 28, 2017 · Mar 7, 2017 · Mar 14, 2017 · Mar 14, 2017
diff --git a/README.md b/README.md
@@ -1,22 +1,20 @@
-# Spark Cassandra Connector [![Build Status](https://travis-ci.org/datastax/spark-cassandra-connector.svg)](http://travis-ci.org/datastax/spark-cassandra-connector)
-### [Spark Cassandra Connector Spark Packages Website](http://spark-packages.org/package/datastax/spark-cassandra-connector)
-Chat with us at [DataStax Academy #spark-cassandra-connector](#datastax-academy)
+# Spark Cassandra Connector [![Build Status](https://travis-ci.org/datastax/spark-cassandra-connector.svg)](https://travis-ci.org/datastax/spark-cassandra-connector)
 
-### Most Recent Release Scala Docs
+## Quick Links
 
-### 2.0.0
-* [Spark-Cassandra-Connector](http://datastax.github.io/spark-cassandra-connector/ApiDocs/2.0.0/spark-cassandra-connector/)
-* [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/2.0.0/spark-cassandra-connector-embedded/)
+| What       | Where |
+| ---------- | ----- |
+| Packages   | [Spark Cassandra Connector Spark Packages Website](https://spark-packages.org/package/datastax/spark-cassandra-connector) |
+| Community  | Chat with us at [DataStax Academy's #spark-connector Slack channel](#slack) |
+| Scala Docs | Most Recent Release (2.0.3): [Spark-Cassandra-Connector](https://datastax.github.io/spark-cassandra-connector/ApiDocs/2.0.3/spark-cassandra-connector/), [Embedded-Cassandra](https://datastax.github.io/spark-cassandra-connector/ApiDocs/2.0.3/spark-cassandra-connector-embedded/) |
 
-[All Versions API Docs](#hosted-api-docs)
+## Features
 
-## Lightning-fast cluster computing with Apache Spark(TM) and Apache Cassandra(TM);
+*Lightning-fast cluster computing with Apache Spark&trade; and Apache Cassandra&reg;.*
 
 This library lets you expose Cassandra tables as Spark RDDs, write Spark RDDs to Cassandra tables, and
 execute arbitrary CQL queries in your Spark applications.
 
-## Features
-
  - Compatible with Apache Cassandra version 2.0 or higher (see table below)
  - Compatible with Apache Spark 1.0 through 2.0 (see table below)
  - Compatible with Scala 2.10 and 2.11
@@ -29,7 +27,7 @@ execute arbitrary CQL queries in your Spark applications.
  - Partition RDDs according to Cassandra replication using `repartitionByCassandraReplica` call
  - Converts data types between Cassandra and Scala
  - Supports all Cassandra data types including collections
- - Filters rows on the server side via the CQL `WHERE` clause 
+ - Filters rows on the server side via the CQL `WHERE` clause
  - Allows for execution of arbitrary CQL statements
  - Plays nice with Cassandra Virtual Nodes
  - Works with PySpark DataFrames
@@ -58,13 +56,13 @@ development for the next connector release in progress.
 ## Hosted API Docs
 API documentation for the Scala and Java interfaces are available online:
 
-### 2.0.0
-* [Spark-Cassandra-Connector](http://datastax.github.io/spark-cassandra-connector/ApiDocs/2.0.0/spark-cassandra-connector/)
-* [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/2.0.0/spark-cassandra-connector-embedded/)
+### 2.0.3
+* [Spark-Cassandra-Connector](http://datastax.github.io/spark-cassandra-connector/ApiDocs/2.0.3/spark-cassandra-connector/)
+* [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/2.0.3/spark-cassandra-connector-embedded/)
 
-### 1.6.5
-* [Spark-Cassandra-Connector](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.6.5/spark-cassandra-connector/)
-* [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.6.5/spark-cassandra-connector-embedded/)
+### 1.6.8
+* [Spark-Cassandra-Connector](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.6.8/spark-cassandra-connector/)
+* [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.6.8/spark-cassandra-connector-embedded/)
 
 ### 1.5.2
 * [Spark-Cassandra-Connector](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.5.2/spark-cassandra-connector/)
@@ -81,24 +79,27 @@ API documentation for the Scala and Java interfaces are available online:
 * [Spark-Cassandra-Connector-Java](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.3.1/spark-cassandra-connector-java/)
 * [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.3.1/spark-cassandra-connector-embedded/)
 
-### 1.2.0 
+### 1.2.0
 * [Spark-Cassandra-Connector](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.2.0/spark-cassandra-connector/)
 * [Spark-Cassandra-Connector-Java](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.2.0/spark-cassandra-connector-java/)
 * [Embedded-Cassandra](http://datastax.github.io/spark-cassandra-connector/ApiDocs/1.2.0/spark-cassandra-connector-embedded/)
 
 ## Download
 This project is available on Spark Packages; this is the easiest way to start using the connector:
-http://spark-packages.org/package/datastax/spark-cassandra-connector
+https://spark-packages.org/package/datastax/spark-cassandra-connector
 
 This project has also been published to the Maven Central Repository.
-For SBT to download the connector binaries, sources and javadoc, put this in your project 
+For SBT to download the connector binaries, sources and javadoc, put this in your project
 SBT config:
-
-    libraryDependencies += "com.datastax.spark" %% "spark-cassandra-connector" % "2.0.0"
+
+    libraryDependencies += "com.datastax.spark" %% "spark-cassandra-connector" % "2.0.3"
+
+* The default Scala version for Spark 2.0+ is 2.11 please choose the appropriate build. See the
+[FAQ](doc/FAQ.md) for more information
 
 ## Building
 See [Building And Artifacts](doc/12_building_and_artifacts.md)
- 
+
 ## Documentation
 
   - [Quick-start guide](doc/0_quick_start.md)
@@ -122,26 +123,26 @@ See [Building And Artifacts](doc/12_building_and_artifacts.md)
   - [Tips for Developing the Spark Cassandra Connector](doc/developers.md)
 
 ## Online Training
+
 ### DataStax Academy
+
 DataStax Academy provides free online training for Apache Cassandra and DataStax Enterprise. In [DS320: Analytics with Spark](https://academy.datastax.com/courses/ds320-analytics-with-apache-spark), you will learn how to effectively and efficiently solve analytical problems with Apache Spark, Apache Cassandra, and DataStax Enterprise. You will learn about Spark API, Spark-Cassandra Connector, Spark SQL, Spark Streaming, and crucial performance optimization techniques.
 
 ## Community
+
 ### Reporting Bugs
+
 New issues may be reported using [JIRA](https://datastax-oss.atlassian.net/browse/SPARKC/). Please include
 all relevant details including versions of Spark, Spark Cassandra Connector, Cassandra and/or DSE. A minimal
 reproducible case with sample code is ideal.
 
 ### Mailing List
-Questions and requests for help may be submitted to the [user mailing list](http://groups.google.com/a/lists.datastax.com/forum/#!forum/spark-connector-user).
 
-### Gitter
-Datastax is consolidating our chat resources to Slack at [DataStax Academy](#datastax-academy)
+Questions and requests for help may be submitted to the [user mailing list](https://groups.google.com/a/lists.datastax.com/forum/#!forum/spark-connector-user).
 
-The gitter room will be shut down in the near future
-[![Join the chat at https://gitter.im/datastax/spark-cassandra-connector](https://badges.gitter.im/datastax/spark-cassandra-connector.svg)](https://gitter.im/datastax/spark-cassandra-connector?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
+### Slack
 
-### IRC
-\#spark-cassandra-connector on irc.freenode.net. If you are new to IRC, you can use a [web-based client](http://webchat.freenode.net/?channels=#spark-cassandra-connector).
+The project uses Slack to facilitate conversation in our community. Find us in the `#spark-connector` channel at [DataStax Academy Slack](https://academy.datastax.com/slack).
 
 ## Contributing
 
@@ -171,25 +172,25 @@ To run unit and integration tests:
 By default, integration tests start up a separate, single Cassandra instance and run Spark in local mode.
 It is possible to run integration tests with your own Cassandra and/or Spark cluster.
 First, prepare a jar with testing code:
-    
+
     ./sbt/sbt test:package
-    
+
 Then copy the generated test jar to your Spark nodes and run:    
 
     export IT_TEST_CASSANDRA_HOST=<IP of one of the Cassandra nodes>
     export IT_TEST_SPARK_MASTER=<Spark Master URL>
     ./sbt/sbt it:test
-    
+
 ## Generating Documents
-To generate the Reference Document use 
+To generate the Reference Document use
 
     ./sbt/sbt spark-cassandra-connector-unshaded/run (outputLocation)
-    
+
 outputLocation defaults to doc/reference.md
 
 ## License
 
-Copyright 2014-2016, DataStax, Inc.
+Copyright 2014-2017, DataStax, Inc.
 
 Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
 

diff --git a/doc/0_quick_start.md b/doc/0_quick_start.md
@@ -16,14 +16,14 @@ Configure a new Scala project with the Apache Spark and dependency.
 The dependencies are easily retrieved via the spark-packages.org website. For example, if you're using `sbt`, your build.sbt should include something like this:
 
     resolvers += "Spark Packages Repo" at "https://dl.bintray.com/spark-packages/maven"
-    libraryDependencies += "datastax" % "spark-cassandra-connector" % "2.0.0-s_2.11"
+    libraryDependencies += "datastax" % "spark-cassandra-connector" % "2.0.1-s_2.11"
 
 The spark-packages libraries can also be used with spark-submit and spark shell, these
 commands will place the connector and all of its dependencies on the path of the
 Spark Driver and all Spark Executors.
 
-    $SPARK_HOME/bin/spark-shell --packages datastax:spark-cassandra-connector:2.0.0-s_2.11
-    $SPARK_HOME/bin/spark-submit --packages datastax:spark-cassandra-connector:2.0.0-s_2.11
+    $SPARK_HOME/bin/spark-shell --packages datastax:spark-cassandra-connector:2.0.1-s_2.11
+    $SPARK_HOME/bin/spark-submit --packages datastax:spark-cassandra-connector:2.0.1-s_2.11
 
 For the list of available versions, see:
 - https://spark-packages.org/package/datastax/spark-cassandra-connector
@@ -59,16 +59,17 @@ Run the `spark-shell` with the packages line for your version. To configure
 the default Spark Configuration pass key value pairs with `--conf`
 
     $SPARK_HOME/bin/spark-shell --conf spark.cassandra.connection.host=127.0.0.1 \
-                                --packages datastax:spark-cassandra-connector:2.0.0-s_2.11
+                                --packages datastax:spark-cassandra-connector:2.0.1-s_2.11
 
 This command would set the Spark Cassandra Connector parameter 
 `spark.cassandra.connection.host` to `127.0.0.1`. Change this
 to the address of one of the nodes in your Cassandra cluster.
 
-Enable Cassandra-specific functions on the `SparkContext`, `RDD`, and `DataFrame`:
+Enable Cassandra-specific functions on the `SparkContext`, `SparkSession`, `RDD`, and `DataFrame`:
 
 ```scala
 import com.datastax.spark.connector._
+import org.apache.spark.sql.cassandra._
 ```
 
 ### Loading and analyzing data from Cassandra

diff --git a/doc/10_embedded.md b/doc/10_embedded.md
@@ -24,6 +24,6 @@ Simply add this to your SBT build, or in the appropriate format for a Maven buil
     "com.datastax.spark"  %% "spark-cassandra-connector-embedded" % {latest.version}
 
 ## Examples
-https://github.com/datastax/SparkBuildExamples
+[Spark Build Examples](https://github.com/datastax/SparkBuildExamples)
 
 [Next - Performance Monitoring](11_metrics.md)
diff --git a/doc/13_spark_shell.md b/doc/13_spark_shell.md
@@ -2,7 +2,7 @@
 
 ## Using the Spark Cassandra Connector with the Spark Shell 
 
-These instructions were last confirmed with Cassandra 3.0.9, Spark 2.0.2 and Connector 2.0.0.
+These instructions were last confirmed with Cassandra 3.0.9, Spark 2.0.2 and Connector 2.0.1.
 
 For this guide, we assume an existing Cassandra deployment, running either locally or on a cluster, a local installation of Spark and an optional Spark cluster. For detail setup instructions see [setup spark-shell](13_1_setup_spark_shell.md)   
 
@@ -18,7 +18,7 @@ Find additional versions at [Spark Packages](http://spark-packages.org/package/d
 ```bash
 cd spark/install/dir
 #Include the --master if you want to run against a spark cluster and not local mode
-./bin/spark-shell [--master sparkMasterAddress] --jars yourAssemblyJar --packages datastax:spark-cassandra-connector:2.0.0-s_2.11 --conf spark.cassandra.connection.host=yourCassandraClusterIp
+./bin/spark-shell [--master sparkMasterAddress] --jars yourAssemblyJar --packages datastax:spark-cassandra-connector:2.0.1-s_2.11 --conf spark.cassandra.connection.host=yourCassandraClusterIp
 ```
 
 By default spark will log everything to the console and this may be a bit of an overload. To change this copy and modify the `log4j.properties` template file