Remote execution agent used for running DataHub tasks, such as ingestion powered through the UI.
python3 -m venv --upgrade-deps venv
source venv/bin/activate
pip3 install .
By default, this library comes with a set of default task implementations:
SubprocessProcessIngestionTask - Executes a metadata ingestion run by spinning off a subprocess. Supports ingesting from a particular version, and with a specific plugin (based on the platform type requested)
InMemoryIngestionTask - Executes a metadata ingestion run using the datahub library in the same process. Not great for production where we can see strange dependency conflicts when certain packages are executed together. Use this for testing, as it has no ability to check out a specific DataHub Metadata Ingestion plugin.
There is one implementation of a cloud logging client that writes logs to S3. This is used by the Acryl Executor to write logs to S3.
To enable it you should set the following environment variables:
ENV DATAHUB_CLOUD_LOG_BUCKET - The S3 bucket to write logs to
ENV DATAHUB_CLOUD_LOG_PATH - The S3 path to write logs to
The logs are compressed with tar and gzipped before being uploaded to S3 to the following path:
s3://CLOUD_LOG_BUCKET/CLOUD_LOG_PATH/<pipeline_id>/year=/month=/day=/<run_id>/
FAQs
An library used within Acryl Agents to execute tasks
We found that acryl-executor demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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