| Name | datajunction-server JSON |
| Version |
0.0.1a87
JSON |
| download |
| home_page | None |
| Summary | DataJunction server library for running to a DataJunction server |
| upload_time | 2025-02-19 07:03:04 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <4.0,>=3.10 |
| license | MIT |
| keywords |
metrics
semanticlayer
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
# DataJunction
## Introduction
DataJunction (DJ) is an open source **metrics platform** that allows users to define
metrics and the data models behind them using **SQL**, serving as a **semantic layer**
on top of a physical data warehouse. By leveraging this metadata, DJ can enable efficient
retrieval of metrics data across different dimensions and filters.
## Getting Started
To launch the DataJunction UI with a minimal DataJunction backend, start the default docker compose environment.
```sh
docker compose up
```
If you'd like to launch the full suite of services, including open-source implementations of the DataJunction query service and
DataJunction reflection service specifications, use the `demo` profile.
```sh
docker compose --profile demo up
```
DJUI: [http://localhost:3000/](http://localhost:3000/)
DJ Swagger Docs: [http://localhost:8000/docs](http://localhost:8000/docs)
DJQS Swagger Docs: [http://localhost:8001/docs](http://localhost:8001/docs)
Jaeger UI: [http://localhost:16686/search](http://localhost:16686/search)
Jupyter Lab: [http://localhost:8888](http://localhost:8888)
## How does this work?
At its core, DJ stores metrics and their upstream abstractions as interconnected nodes.
These nodes can represent a variety of elements, such as tables in a data warehouse
(**source nodes**), SQL transformation logic (**transform nodes**), dimensions logic,
metrics logic, and even selections of metrics, dimensions, and filters (**cube nodes**).
By parsing each node's SQL into an AST and through dimensional links between columns,
DJ can infer a graph of dependencies between nodes, which allows it to find the
appropriate join paths between nodes to generate queries for metrics.
Raw data
{
"_id": null,
"home_page": null,
"name": "datajunction-server",
"maintainer": null,
"docs_url": null,
"requires_python": "<4.0,>=3.10",
"maintainer_email": null,
"keywords": "metrics, semanticlayer",
"author": null,
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/97/c9/61df78e87e55628ab2f196d1e4c45f47968dc8313e82a300cafe29552fb3/datajunction_server-0.0.1a87.tar.gz",
"platform": null,
"description": "# DataJunction\n\n## Introduction\n\nDataJunction (DJ) is an open source **metrics platform** that allows users to define\nmetrics and the data models behind them using **SQL**, serving as a **semantic layer**\non top of a physical data warehouse. By leveraging this metadata, DJ can enable efficient\nretrieval of metrics data across different dimensions and filters.\n\n\n\n## Getting Started\n\nTo launch the DataJunction UI with a minimal DataJunction backend, start the default docker compose environment.\n\n```sh\ndocker compose up\n```\n\nIf you'd like to launch the full suite of services, including open-source implementations of the DataJunction query service and\nDataJunction reflection service specifications, use the `demo` profile.\n\n```sh\ndocker compose --profile demo up\n```\n\nDJUI: [http://localhost:3000/](http://localhost:3000/)\nDJ Swagger Docs: [http://localhost:8000/docs](http://localhost:8000/docs)\nDJQS Swagger Docs: [http://localhost:8001/docs](http://localhost:8001/docs)\nJaeger UI: [http://localhost:16686/search](http://localhost:16686/search)\nJupyter Lab: [http://localhost:8888](http://localhost:8888)\n\n## How does this work?\n\nAt its core, DJ stores metrics and their upstream abstractions as interconnected nodes.\nThese nodes can represent a variety of elements, such as tables in a data warehouse\n(**source nodes**), SQL transformation logic (**transform nodes**), dimensions logic,\nmetrics logic, and even selections of metrics, dimensions, and filters (**cube nodes**).\n\nBy parsing each node's SQL into an AST and through dimensional links between columns,\nDJ can infer a graph of dependencies between nodes, which allows it to find the\nappropriate join paths between nodes to generate queries for metrics.\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "DataJunction server library for running to a DataJunction server",
"version": "0.0.1a87",
"project_urls": {
"Homepage": "https://datajunction.io",
"Repository": "https://github.com/DataJunction/dj"
},
"split_keywords": [
"metrics",
" semanticlayer"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "7ed3fddb14c5426cf78e1ac3a62ca6b26b0065bc11f2827d7de02fc7f19202f0",
"md5": "7b3550d06630ec725a665b78365ad33d",
"sha256": "b2e08cc6192ad62b8bd00e9dc41e7d7b3f5cfc45e18c23d424f98d7794343eb2"
},
"downloads": -1,
"filename": "datajunction_server-0.0.1a87-py3-none-any.whl",
"has_sig": false,
"md5_digest": "7b3550d06630ec725a665b78365ad33d",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<4.0,>=3.10",
"size": 554844,
"upload_time": "2025-02-19T07:03:06",
"upload_time_iso_8601": "2025-02-19T07:03:06.902432Z",
"url": "https://files.pythonhosted.org/packages/7e/d3/fddb14c5426cf78e1ac3a62ca6b26b0065bc11f2827d7de02fc7f19202f0/datajunction_server-0.0.1a87-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "97c961df78e87e55628ab2f196d1e4c45f47968dc8313e82a300cafe29552fb3",
"md5": "869e41aeebdc31129d243d662be3e7f0",
"sha256": "7830c70d041c2864c7809392975e83e6f93981576dbeeab0b1c0bbfb7cd32575"
},
"downloads": -1,
"filename": "datajunction_server-0.0.1a87.tar.gz",
"has_sig": false,
"md5_digest": "869e41aeebdc31129d243d662be3e7f0",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<4.0,>=3.10",
"size": 799753,
"upload_time": "2025-02-19T07:03:04",
"upload_time_iso_8601": "2025-02-19T07:03:04.330272Z",
"url": "https://files.pythonhosted.org/packages/97/c9/61df78e87e55628ab2f196d1e4c45f47968dc8313e82a300cafe29552fb3/datajunction_server-0.0.1a87.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-02-19 07:03:04",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "DataJunction",
"github_project": "dj",
"travis_ci": false,
"coveralls": true,
"github_actions": true,
"tox": true,
"lcname": "datajunction-server"
}
