streamsx.hbase 1.5.2
pip install streamsx.hbase
Latest version
Released:
HBASE integration for IBM Streams
Navigation
Verified details
These details have been verified by PyPIMaintainers
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Apache Software License (Apache License - Version 2.0)
- Author: IBM Streams @ github.com
- Tags streams
Classifiers
- Development Status
- License
- Programming Language
Project description
Overview
Provides functions and classes to access HBASE. For example, connect to Hortonworks (HDP).
This package exposes the com.ibm.streamsx.hbase toolkit as Python methods for use with Streaming Analytics service on IBM Cloud and IBM Streams including IBM Cloud Pak for Data.
Documentation
Project details
Verified details
These details have been verified by PyPIMaintainers
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Apache Software License (Apache License - Version 2.0)
- Author: IBM Streams @ github.com
- Tags streams
Classifiers
- Development Status
- License
- Programming Language
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
Built Distribution
File details
Details for the file streamsx.hbase-1.5.2.tar.gz
.
File metadata
- Download URL: streamsx.hbase-1.5.2.tar.gz
- Upload date:
- Size: 16.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1b40c9d6a275e13723dae1c3e2bf75dbd2003221cf607b5d6d709adc9ec9ff8d |
|
MD5 | b657755794bed76fe25187571029c1dd |
|
BLAKE2b-256 | ae053a2a006b57ee6e4ae18e7f619d1a4f5a6b3a023bd0e78b7a5437bd33eef3 |
File details
Details for the file streamsx.hbase-1.5.2-py2.py3-none-any.whl
.
File metadata
- Download URL: streamsx.hbase-1.5.2-py2.py3-none-any.whl
- Upload date:
- Size: 18.5 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4481eff4b014aa0ac6192d7c8b792910d453e7722d70e59012a0157e5dac8a95 |
|
MD5 | 953587d9e9a91247f91c89c8c09606ca |
|
BLAKE2b-256 | a225ef1ed3be8a642055985a75cceb8a7a2301ef907a11024e1a9e9456ec78ed |