Tutorial: Set up PyCharm professional with a development endpoint

Create a new pure-Python project in PyCharm named legislators.

Create a file named get_person_schema.py in the project with the following content:

from pyspark.context import SparkContext
from awsglue.context import GlueContext


def main():
    # Create a Glue context
    glueContext = GlueContext(SparkContext.getOrCreate())

    # Create a DynamicFrame using the 'persons_json' table
    persons_DyF = glueContext.create_dynamic_frame.from_catalog(database="legislators", table_name="persons_json")

    # Print out information about this data
    print("Count:  ", persons_DyF.count())
    persons_DyF.printSchema()


if __name__ == "__main__":
    main()

Do one of the following:

Add PyGlue.zip as a content root for your project in PyCharm:

The Settings screen should look something like the following:

Leave the Settings dialog box open after you choose Apply.

Configure deployment options to upload the local script to your development endpoint using SFTP (this capability is available only in PyCharm Professional):

The Settings screen should now look something like the following:

Again, leave the Settings dialog box open after you choose Apply.

Map the local directory to a remote directory for deployment:

The Settings screen should now look something like the following:

Choose OK to close the Settings dialog box.

Choose Tools, Deployment, and then choose the name under which you set up your development endpoint, as shown in the following image:

After your script has been deployed, the bottom of the screen should look something like the following:

On the menu bar, choose Tools, Deployment, Automatic Upload (always). Ensure that a check mark appears next to Automatic Upload (always).

When this option is enabled, PyCharm automatically uploads changed files to the development endpoint.

From the File menu, choose Settings.

Expand the project legislators and choose Project Interpreter.

Choose the gear icon next to the Project Interpreter list, and then choose Add.

In the Add Python Interpreter dialog box, in the left pane, choose SSH Interpreter.

Choose Existing server configuration, and in the Deployment configuration list, choose your configuration.

Your screen should look something like the following image.

Choose Move this server to IDE settings, and then choose Next.

In the Interpreter field, change the path to /usr/bin/gluepython if you are using Python 2, or to /usr/bin/gluepython3 if you are using Python 3. Then choose Finish.