Skip to main content

Composable Query Meta Language

Project description


Composable Query Meta Language

CQML is declarative data format for specifying complete data analysis pipelines. It is most commonly implemented as YAML, but can trivially be transformed into JSON, CSON, or macOS and Java property lists.

The initial back-end is written for the DataBrick's flavor of PySpark and Spark SQL, but should be easy to extend to other databases and warehouses.


#pip install git+ #@v3-daily
pip install cqml #==0.3.0
import cqml


From top-level directory:

$ python3 -m pip install -r requirements.txt
$ pip install pytest
$ python3 -m pytest

Building the Packages

$ python3 -m pip install --upgrade build
$ python3 -m pip install --upgrade twine
$ prerelease && release && python3 -m build && python3 -m twine upload dist/* && postrelease

Development Build

awk -Fv '{printf("%sv%d\n",$1,v$2+1)}' version.txt > /tmp/version.txt && cp /tmp/version.txt version.txt && git commit -a && git push

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

cqml-0.4.5.tar.gz (24.8 kB view hashes)

Uploaded Source

Built Distribution

cqml-0.4.5-py3-none-any.whl (17.4 kB view hashes)

Uploaded Python 3

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