KO
|
EN
gitlite — search
Search
#python
#java
#python3
#arduino
#golang
#machine-learning
#rust
#html
#flask
#javascript
#seismology
#nodejs
amundsen-atlas-types
★ 17
Open GitHub ↗
Atlas custom type definitions
Download README (.md)
Explore Similar Repositories
amundsensearchlibrary
:
Search service library for Amundsen
data-lineage-ref-solution
:
A reference solution for Metadata Discovery and Data Lineage powered by Open-source projects: LF Amundsen, Elasticsearch, Nebula Graph, Apache Airflow, Apache Superset
amundsengremlin
:
Amundsen Gremlin
asli
:
Amundsen Sea Low detection from mean sea level pressure fields
amundsenrds
:
Amundsen rds ORM model
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
amundsen-atlas-types
?
Download (.md)
# ⚠️ DEPRECATED This project has been deprecated and it's contents were migrated to [Amundsen core repo.](https://github.com/amundsen-io/amundsen/blob/main/databuilder/README.md#register-entity-types-using-standalone-script) **Any new developments on entity types required for Amundsen <> Atlas integration will be continued in aforementioned repository.** ## How can I use this after migration? ### Install databuilder ```shell script pip3 install amundsen-databuilder ``` ### Kickstart Amundsen ```python from apache_atlas.client.base_client import AtlasClient from databuilder.types.atlas import AtlasEntityInitializer client = AtlasClient('http://localhost:21000', ('admin', 'admin')) init = AtlasEntityInitializer(client) init.create_required_entities() ``` --- # Amundsen Atlas Types [](https://badge.fury.io/py/amundsenatlastypes) [](https://travis-ci.org/dwarszawski/amundsen-atlas-types) [](https://raw.githubusercontent.com/dwarszawski/amundsen-atlas-types/master/LICENSE) Kickstart your Apache Atlas to support Amundsen using the prebuilt functions and required entity definitions. ## Installation: The package is available on PyPi, which you can install using below. ```bash pip install amundsenatlastypes ``` ## Usage: #### Connecting to Apache Atlas: `amundsenatlastypes` uses environment variables to connect to Apache Atlas. Following are the environment variables need to be set in order to connect to Apache Atlas. ```bash - ATLAS_HOST [default = localhost] - ATLAS_PORT [default = 21000] - ATLAS_USERNAME [default = admin] - ATLAS_PASSWORD [default = admin] ``` #### Kickstart Apache Atlas A single python function is available that you can use to apply all required entity definitions. You can run this function as many times as you want, and it will not break any existing functionality, that means that it can also be implemented in your pipelines. ```python from amundsenatlastypes import Initializer init = Initializer() init.create_required_entities() ``` There also is a functionality to initiate your existing data to work accordingly with Amundsen. To create required relations you need to set `fix_existing_data=True` while calling the `create_required_entities()`. ```python from amundsenatlastypes import Initializer init = Initializer() init.create_required_entities(fix_existing_data=True) ``` #### Sample Data `amundsenatlastypes` provides sample data so you can populate your Atlas not only with entity definitions but also concrete entities. ##### Prerequisites ```shell script pip install amundsenatlastypes[samples] ``` ##### Table Sample Data ```python from amundsenatlastypes.schema.table.sample_data import SampleTableData table_loader = SampleTableData() table_loader.create() ``` ##### Dashboard Sample Data ```python from amundsenatlastypes.schema.dashboard.sample_data import SampleDashboardData # Fill below variables with appropriate values table_guid = '' user_guid = '' loader = SampleDashboardData(table_guid, user_guid) loader.create() ``` #### Functionality: `amundsenatlastypes` provides a number of functions that can be used separately to implement/apply entity definitions of Apache Atlas, which are available [here](/amundsenatlastypes/__init__.py). You can also simply access the individual entity definitions in JSON format by importing them from [here](amundsenatlastypes/types.py). #### Sample Data `amundsenatlastypes` provides sample data so you can populate your Atlas not only with entity definitions but also concrete entities.
