Release 3.2.1 (#386)

* workflow updated

* updated versions in examples and functional tests

.github/workflows/main.yml

@@ -20,7 +20,7 @@ jobs:
  uses: actions/upload-artifact@v1
  with:
  name: build-jar-file
- path: /home/runner/work/spark-connector/spark-connector/connector/target/scala-2.12/spark-vertica-connector_2.12-3.2.0.jar
+ path: /home/runner/work/spark-connector/spark-connector/connector/target/scala-2.12/spark-vertica-connector_2.12-3.2.1.jar
  run-analysis:
  runs-on: ubuntu-latest
  needs: build

.github/workflows/s3-integration.yml

@@ -17,7 +17,7 @@ jobs:
  uses: actions/upload-artifact@v1
  with:
  name: build-jar-file
- path: /home/runner/work/spark-connector/spark-connector/connector/target/scala-2.12/spark-vertica-connector_2.12-3.2.0.jar
+ path: /home/runner/work/spark-connector/spark-connector/connector/target/scala-2.12/spark-vertica-connector_2.12-3.2.1.jar
  run-integration-tests_s3:
  runs-on: ubuntu-latest
  needs: build

CONTRIBUTING.md

@@ -72,7 +72,7 @@ cd connector
 sbt assembly
 ```
 
-Running this will run all unit tests and build the jar to target/scala-2.12/spark-vertica-connector-assembly-3.2.0.jar
+Running this will run all unit tests and build the jar to target/scala-2.12/spark-vertica-connector-assembly-3.2.1.jar
 
 ## Step 4: Set up an environment
 The easiest way to set up an environment is to spin up the docker containers for a sandbox client environment and single-node clusters for both Vertica and HDFS following [this guide.](https://github.com/vertica/spark-connector/blob/main/examples/README.md)
@@ -88,7 +88,7 @@ The next requirement is a spark application that uses the connector jar. Example
 ```shell
 cd examples/basic-read
 mkdir lib
-cp ../../connector/target/scala-2.12/spark-vertica-connector-assembly-3.2.0.jar lib
+cp ../../connector/target/scala-2.12/spark-vertica-connector-assembly-3.2.1.jar lib
 sbt run
 ```
 

examples/kerberos-example/README.md

@@ -20,7 +20,7 @@ sbt assembly
 Then create a `lib` folder at `/kerberos-example` and put the spark connector that you assembled inside.
 ```
 mkdir /spark-connector/examples/kerberos-example/lib
-cp /spark-connector/connector/target/scala-2.12/spark-vertica-connector-assembly-3.2.0.jar /spark-connector/examples/kerberos-example/lib
+cp /spark-connector/connector/target/scala-2.12/spark-vertica-connector-assembly-3.2.1.jar /spark-connector/examples/kerberos-example/lib
 ```
 Then in the example's `build.sbt`, comment out the vertica-spark connector dependency.
 

examples/sparklyr/run.r

@@ -6,7 +6,7 @@ if (file.exists("done")) unlink("done")
 
 # Create the Spark config and give access to our connector jar file
 config <- spark_config()
-config$sparklyr.jars.default <- "../../connector/target/scala-2.12/spark-vertica-connector-assembly-3.2.0.jar"
+config$sparklyr.jars.default <- "../../connector/target/scala-2.12/spark-vertica-connector-assembly-3.2.1.jar"
 
 # Submit a new Spark job that executes sparkapp.r with Spark version 3.1
 spark_submit(master = "spark://localhost:7077", version = "3.1", file = "sparkapp.r", config = config)

functional-tests/README.md

@@ -8,7 +8,7 @@ Configuration is specified with application.conf (HOCON format)
 From the functional-tests directory, run the following commands:
 ```
 mkdir lib
-cd ../connector && sbt assembly && cp target/scala-2.12/spark-vertica-connector-assembly-3.2.0.jar ../functional-tests/lib && cd ../functional-tests
+cd ../connector && sbt assembly && cp target/scala-2.12/spark-vertica-connector-assembly-3.2.1.jar ../functional-tests/lib && cd ../functional-tests
 ```
 This will create a lib folder and then build and copy the connector JAR file to it.
 

version.properties

@@ -1,2 +1,2 @@
-connector-version=3.2.0
+connector-version=3.2.1