Skip to main content

An library used within Acryl Agents to execute tasks

Project description

acryl-executor

Remote execution agent used for running DataHub tasks.

python3 -m venv --upgrade-deps venv
source venv/bin/activate
pip3 install .

Notes

By default, this library comes with a set of default task implementations:

RUN_INGEST Task

  • 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

acryl-executor-0.0.3.3.tar.gz (27.5 kB view details)

Uploaded Source

Built Distribution

acryl_executor-0.0.3.3-py3-none-any.whl (48.3 kB view details)

Uploaded Python 3

File details

Details for the file acryl-executor-0.0.3.3.tar.gz.

File metadata

  • Download URL: acryl-executor-0.0.3.3.tar.gz
  • Upload date:
  • Size: 27.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for acryl-executor-0.0.3.3.tar.gz
Algorithm Hash digest
SHA256 93d77e19d2a57d5b5e4aa94b572de245da677e00f18ab3b8366a5cba22574231
MD5 8fe729c7de44b13283f5ddd7d5398d84
BLAKE2b-256 43e30873a14c050df92db66f935857490c8473c02bcef0c2546a1a76957fa778

See more details on using hashes here.

File details

Details for the file acryl_executor-0.0.3.3-py3-none-any.whl.

File metadata

File hashes

Hashes for acryl_executor-0.0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 6fdc8d3b0244167e7884617a2943f55d08a1a44429f3c172ef61aa539d12f011
MD5 4fac6b7173aebf04520f017bff4b392e
BLAKE2b-256 8f95c1354a7d76b3517311851488fbc37776739ff00bfd7b860d618e86f7c4ec

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page