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Bumped to 2.3.0
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CONTRIBUTING.md

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@@ -116,7 +116,7 @@ This will produce a single jar file for the connector in the `./build/libs` dire
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You can then launch PySpark with the connector available via:
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pyspark --jars build/libs/marklogic-spark-connector-2.3.0.rc1.jar
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pyspark --jars build/libs/marklogic-spark-connector-2.3.0.jar
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The below command is an example of loading data from the test application deployed via the instructions at the top of
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this page.
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Now that you have a Spark cluster running, you just need to tell PySpark to connect to it:
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pyspark --master spark://NYWHYC3G0W:7077 --jars build/libs/marklogic-spark-connector-2.3.0.rc1.jar
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pyspark --master spark://NYWHYC3G0W:7077 --jars build/libs/marklogic-spark-connector-2.3.0.jar
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You can then run the same commands as shown in the PySpark section above. The Spark master GUI will allow you to
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examine details of each of the commands that you run.
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You can then run a test Python program in this repository via the following (again, change the master address as
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needed); note that you run this outside of PySpark, and `spark-submit` is available after having installed PySpark:
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spark-submit --master spark://NYWHYC3G0W:7077 --jars build/libs/marklogic-spark-connector-2.3.0.rc1.jar src/test/python/test_program.py
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spark-submit --master spark://NYWHYC3G0W:7077 --jars build/libs/marklogic-spark-connector-2.3.0.jar src/test/python/test_program.py
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You can also test a Java program. To do so, first move the `com.marklogic.spark.TestProgram` class from `src/test/java`
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to `src/main/java`. Then run `./gradlew clean shadowJar` to rebuild the connector jar. Then run the following:
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spark-submit --master spark://NYWHYC3G0W:7077 --class com.marklogic.spark.TestProgram build/libs/marklogic-spark-connector-2.3.0.rc1.jar
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spark-submit --master spark://NYWHYC3G0W:7077 --class com.marklogic.spark.TestProgram build/libs/marklogic-spark-connector-2.3.0.jar
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Be sure to move `TestProgram` back to `src/test/java` when you are done.
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build.gradle

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}
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group 'com.marklogic'
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version '2.3.0.rc1'
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version '2.3.0'
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java {
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// To support reading RDF files, Apache Jena is used - but that requires Java 11. If we want to do a 2.2.0 release

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