A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).
Project description
omniduct provides uniform interfaces for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).
- Documentation: http://omniduct.readthedocs.io
- Source: https://github.com/airbnb/omniduct
- Bug reports: https://github.com/airbnb/omniduct/issues
It provides:
- A generic plugin-based programmatic API to access data in a consistent manner across different services (see supported protocols).
- A framework for lazily connecting to data sources and maintaining these connections during the entire lifetime of the relevant Python session.
- Automatic port forwarding of remote services over SSH where connections cannot be made directly.
- Convenient IPython magic functions for interfacing with data providers from within IPython and Jupyter Notebook sessions.
- Utility classes and methods to assist in maintaining registries of useful services.
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
omniduct-1.1.5.tar.gz
(113.7 kB
view details)
File details
Details for the file omniduct-1.1.5.tar.gz.
File metadata
- Download URL: omniduct-1.1.5.tar.gz
- Upload date:
- Size: 113.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1f63044ca55d3d541c3dd66ef2ccbbb86805dac7e5841b480507c6aba612b919 |
|
| MD5 | 7b17d4f922fe5702a426f4df59911142 |
|
| BLAKE2b-256 | d8e24dc4ffeeb98438bcbcbaeacee80f97330ebe0b3f47748c939bcff52752e5 |
