HPCC4J-669 Documentation changes for the hpcc4j and spark-hpcc projects

Signed-off-by: Michael Gardner <[email protected]>

README.md

@@ -1,4 +1,4 @@
-![hpcc4j Master Nightly](https://github.com/hpcc-systems/hpcc4j/workflows/hpcc4j%20Nightly/badge.svg?branch=master) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/hpcc4j/badge.svg?subject=hpcc4j)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/hpcc4j) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/commons-hpcc/badge.svg?subject=commons-hpcc)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/commons-hpcc) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/wsclient/badge.svg?subject=wsclient)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/wsclient) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/dfsclient/badge.svg?subject=dfsclient)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/dfsclient)
+![hpcc4j Master Nightly](https://github.com/hpcc-systems/hpcc4j/workflows/hpcc4j%20Nightly/badge.svg?branch=master) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/hpcc4j/badge.svg?subject=hpcc4j)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/hpcc4j) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/commons-hpcc/badge.svg?subject=commons-hpcc)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/commons-hpcc) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/wsclient/badge.svg?subject=wsclient)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/wsclient) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/dfsclient/badge.svg?subject=dfsclient)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/dfsclient) [![Maven Central](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/spark-hpcc/badge.svg?subject=spark-hpcc)](https://maven-badges.herokuapp.com/maven-central/org.hpccsystems/spark-hpcc)
 
 [![CodeQL](https://github.com/hpcc-systems/hpcc4j/actions/workflows/codeql-analysis.yml/badge.svg)](https://github.com/hpcc-systems/hpcc4j/actions/workflows/codeql-analysis.yml)
 
@@ -57,6 +57,10 @@ Everybody is encouraged to report issues and contribute to the project. When ope
   - RDF data ingestion tool to HPCC
   - Based on Apache Jena and dependent on org.hpccsystems.ws.client
 
+- [Spark-HPCC](https://github.com/hpcc-systems/hpcc4j/blob/master/spark-hpcc/README.md)
+  - Spark classes for HPCC Systems / Spark interoperability
+
+
 #### HPCC4J and HPCC Kubernetes Clusters
 Utilizing HPCC4J with containized HPCC Systems clusters requires some additional local configuration steps. These configuration steps are documented here: [Using HPCC4j with HPCC on a Kubernetes Cluster](https://github.com/hpcc-systems/hpcc4j/wiki/Using-HPCC4J-with-HPCC-on-a-Kubernetes-Cluster)
 
@@ -65,7 +69,7 @@ These projects are configured to be built using Maven. To build the projects usi
 
 `mvn install`
 
-NOTE: hpcccommons, wsclient, and dfsclient are controled via the top-level maven pom file and can be built via a single command.
+NOTE: hpcccommons, wsclient, dfsclient, and spark-hpcc are controlled via the top-level maven pom file and can be built via a single command.
 All sub-projects can be built individually using the pom file in each sub-project directory
 
 For more information on how to use Maven see http://maven.apache.org

spark-hpcc/README.md

@@ -25,8 +25,7 @@
 # Spark-HPCC
 Spark classes for HPCC Systems / Spark interoperability
 
-### DataAccess
-The DataAccess project contains the classes which expose distributed
+This project contains the classes which expose distributed
 streaming of HPCC based data via Spark constructs. In addition,
 the HPCC data is exposed as a Dataframe for the convenience of the Spark developer.
 
@@ -36,7 +35,7 @@ If using a standard Spark submission pipeline such as spark-submit these depende
 However, if your pipeline executes a jar directly you may need to add the Spark libraries from your $SPARK_HOME to the classpath.
 
 ### Examples & Documentation
-See: [Examples](https://github.com/hpcc-systems/Spark-HPCC/tree/master/Examples) for example usage of the connector as well as API documentation for the reading and writing APIs.
+See: [Examples](https://github.com/hpcc-systems/hpcc4j/tree/master/spark-hpcc/Examples) for example usage of the connector as well as API documentation for the reading and writing APIs.
 
 ## Please note:
 ##### As reported by github:

spark-hpcc/src/main/javadoc/overview.html

@@ -2,6 +2,6 @@
     <pre>
 This project enables HPCC Systems / Spark interoperability.
 
-The DataAccess project contains the classes which expose distributed streaming of HPCC based data via Spark constructs. In addition, the HPCC data is exposed as a Dataframe for the convenience of the Spark developer.
+This project contains the classes which expose distributed streaming of HPCC based data via Spark constructs. In addition, the HPCC data is exposed as a Dataframe for the convenience of the Spark developer.
     </pre>
 </body>

spark-hpcc/src/test/java/org/hpccsystems/spark/BaseIntegrationTest.java

@@ -86,7 +86,7 @@ public SparkConf getDefaultSparkConf()
         else
         {
             System.out.println("Unable to find spark jar matching pattern: spark-hpcc.*-jar-with-dependencies.jar, "
-                              + "in directory [PROJECT_ROOT]/DataAccess/target/, check maven package / verify output for errors.");
+                              + "in directory [PROJECT_ROOT]/spark-hpcc/target/, check maven package / verify output for errors.");
         }
 
         String[] jars = {