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Version: 0.18.9

Instantiate a Data Context on an EMR Spark cluster

Use the information provided here to instantiate a Data Context on an EMR Spark cluster without a full configuration directory.

Prerequisites​

Install Great Expectations on your EMR Spark cluster​

  • Copy this code snippet into a cell in your EMR Spark notebook and then run it:

    Python
    sc.install_pypi_package("great_expectations")

Configure a Data Context in code​

  1. Create an in-code Data Context. See Instantiate an Ephemeral Data Context.

  2. Copy the Python code at the end of How to instantiate an Ephemeral Data Context into a cell in your EMR Spark notebook, or use the other examples to customize your configuration. The code instantiates and configures a Data Context for an EMR Spark cluster.

Test your configuration​

  1. Execute the cell with the snippet you copied in the previous step.

  2. Copy the code snippet into a cell in your EMR Spark notebook.

  3. Run the following command to verify that an error isn't returned:

Python
    context.list_datasources()