Python deployment
Overview
Ververica Cloud allows you to run Python Deployments. This topic describes how to quickly set up a Python Deployment, run it, and view the outputs in Ververica Cloud.
Prerequisites
You must have created an existing account and workspace.
Step 1: Prepare the Python and Input Data for Testing
You need to download the following files to be used in this tutorial:
- Download word_count_streaming.py to your local machine.
- Download Shakespeare.txt to your local machine.
Step 2: Upload the Artifact Files
To upload the artifact files:
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On your Dashboard page, click the workspace name that you want to open.
The workspace Console will be displayed.
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Display the Artifacts page.
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To upload the artifacts, do one of the following:
- Click Upload Artifact, navigate to and select the downloaded files, then click Open.
- Drag the artifact files from the download location into the Artifacts table.
The artifacts will be listed.
Step 3: Create a Python Deployment
To create the Python deployment:
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In the Console, click Deployments > Create Deployment and choose Python Deployment from the drop-down menu.
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Fill in the Create Deployment form as follows (you might need to scroll down to see all the options):
- Deployment Type: PYTHON
- Deployment Name: Enter word-count-streaming-test-py for this tutorial.
- Engine Version: Leave this set to the default version.
- PYTHON URI: Click in the field and select the word_count_streaming.py from the list. (Note: Console will fill in the required URI when you select the Python file.)
- Entry Module: Leave blank.
- Entry Point Main Arguments:
--input /flink/usrlib/Shakespeare.txt
- Python Libraries: Leave blank
- Python Archives: Leave blank
- Additional Dependencies: Click in the field and select the Shakespeare.txt from the list.
- Description: Leave blank for this tutorial.
- Label: Leave blank for this tutorial.
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Click Deploy. The deployment will be listed. Until you start the deployment, it will be listed as CANCELLED (i.e. not running).