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Added jar dependency setup for Jupyter Notebooks #142

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Added jar dependency setup for Jupyter Notebooks #142

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17 changes: 17 additions & 0 deletions README.md
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Expand Up @@ -24,6 +24,7 @@ See the [user guide](https://github.com/Azure/azure-documentdb-spark/wiki/Azure-
* Python >= 2.7 or Python >= 3.3
* If using Scala
* Azure DocumentDB Java SDK 1.15.0
* Azure Documentdb RX 0.9.0

For those using HDInsight, this has been tested on HDI 3.5

Expand Down Expand Up @@ -171,6 +172,22 @@ df.write.mode(SaveMode.Overwrite).cosmosDB(writeConfig)
// df.rdd.saveToCosmosDB(writeConfig)
```

### Using a Jupyter Notebook
If using a notebook like Jupyter, you can configure the jar dependencies as shown below, which gives an example of pulling jars from a default Blob Storage account (i.e., if using HDInsight) and also pulling from Maven.

```scala
%%configure -f
{
"executorMemory": "4G",
"numExecutors":4,
"executorCores":3,
"jars": ["wasb:///azure-documentdb-1.15.0.jar","wasb:///azure-cosmosdb-spark_2.1.0_2.11-1.0.0.jar"],
"conf": {
"spark.jars.packages": "com.microsoft.azure:azure-documentdb-rx:0.9.0-rc2",
"spark.jars.excludes": "org.scala-lang:scala-reflect"
}
}
```

## How to build the connector
Currently, this connector project uses `maven` so to build without dependencies, you can run:
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