Skip to main content

DataHub Great Expectations plugin — send data quality assertion results from GX checkpoints into your DataHub catalog

Project description

DataHub Great Expectations (GX) Plugin

Send Great Expectations data quality results into DataHub — surface assertion outcomes alongside your dataset metadata so teams can see data health at a glance.

What you can do

  • Emit assertion results from GX Checkpoints directly into DataHub as data quality assertions
  • Link quality checks to datasets — results appear on the dataset's profile in DataHub
  • Track pass/fail history over time for every expectation suite
  • Works with any DataHub deployment — self-hosted or DataHub Cloud

Installation

pip install acryl-datahub-gx-plugin

Quickstart

Add the DataHub action to your GX Checkpoint:

from datahub_gx_plugin.action import DataHubValidationAction
from great_expectations.checkpoint import Checkpoint

checkpoint = Checkpoint(
    name="my_checkpoint",
    data_context=context,
    action_list=[
        {
            "name": "datahub",
            "action": {
                "class_name": "DataHubValidationAction",
                "module_name": "datahub_gx_plugin.action",
                "server_url": "http://localhost:8080",
            },
        }
    ],
)

Results from every Checkpoint run will appear in DataHub under the dataset's Validation tab.

Links

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

acryl_datahub_gx_plugin-1.6.0.11rc1.tar.gz (13.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

acryl_datahub_gx_plugin-1.6.0.11rc1-py3-none-any.whl (12.1 kB view details)

Uploaded Python 3

File details

Details for the file acryl_datahub_gx_plugin-1.6.0.11rc1.tar.gz.

File metadata

File hashes

Hashes for acryl_datahub_gx_plugin-1.6.0.11rc1.tar.gz
Algorithm Hash digest
SHA256 b7085ef8e2c6275d35c524ab22defef3ea4d9d45e76d92cd7bfaa1514c96397e
MD5 7679a91bd619a84d404794120ca87c4c
BLAKE2b-256 2b9732df4f21f95094d510439559030a4ba344cbfbe531a83e7daa5e85810b0c

See more details on using hashes here.

File details

Details for the file acryl_datahub_gx_plugin-1.6.0.11rc1-py3-none-any.whl.

File metadata

File hashes

Hashes for acryl_datahub_gx_plugin-1.6.0.11rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 9d61d22173fda3a9c01e8406f033d935e72477b6152b5afecef1f79ae0fcb104
MD5 e772bfcda73f2d6f6c25825092a8cee3
BLAKE2b-256 cb7813bbeb9863ddb6d3b2049d2b90a24d2e99db78a6644a02335e057440bb09

See more details on using hashes here.

Supported by

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