Install required libraries: $ pip3 install couchbaseįor now, the below modification is required to the common Python 3 http client otherwise, you would hit an error. (environments) jmunta-mac:~ jagadeshmunta Virtual environment setup: $ pip3 install virtualenv Ubuntu slave using for Python 3 runtime verificationĭirect setup (pip3 automatically installed): Use either pip3 or pip3.x (pip3.6 for example) to install packages based on the installed Python 3 version. Later during the runtime, either use python 3 commands or a python in python 3 virtual env. To setup Python 3 from scratch, run the below commands on a new host with major supported platforms. See the testrunner p圓 commits for changes Python 3 Setup
#UPGRADE TO PYTHON 2.7.9 CODE#
To get an idea on the key changes, here is the summary list of code changes needed from Python 2 to Python 3. See more details on the release at Python's releases and Python 3 documentation. You can pick the latest Python 3.x version (it depends on the pre-release, stable, security-fixes version on a specific platform, 3.7 or 3.6), which we are referring to as Python 3 throughout this blog. Now, sharing our learnings with those porting problems incurred and solutions here so that it can help you at your end.
Some of the problems were identified during the porting process. Our goal now is to do a complete switch to Python 3 runtime instead of co-running with both Python 3 and Python 2.Īs part of the Python 3 porting process, we have identified the major changes needed during the porting process.
The TestRunner git repository can be found at. The Couchbase functional testing framework, TestRunner has been developed in Python 2. This document is going to provide tips and tricks while upgrading to Python 3 along with common problems encountered during the Couchbase test infra migration process.Ĭouchbase is an open source Enterprise-class MultiCloud to Edge NoSQL Database. Even if the bug fix support deadline crossed, its ok (because your code is still working) but better to be close to this date so that we are on the same page with other Python community and support. Now, because of Python's official unsupported announcement caused the team to think about the migration prioritization. If there's no extra time and budget allocated for this effort, it goes to the bottom of the priority list. Why would someone bother about migration if there is no need at this time for any specific improvement like more performance in some cases or resolving some reliability issues etc., in your code? One of the major hurdles is that the majority of working code simply breaks (read more at why-was-python-3-made-incompatible-with-python-2) whether it be from direct language syntax or issues with third-party APIs. Why don't teams just jump start on this migration? You may also like: Python 2 to 3 Migration: Now or Never? So, it is important to migrate any current Python 2 code to Python 3 syntax and stick to Python 3 going forward. We know that Python 2 is entering into unsupported mode by end of this year. Support officially stops January 1 2020, but the final release will occur after that date.” In addition, see the note from Python's site, “Being the last of the 2.x series, 2.7 will receive bugfix support until 2020. A future version of pip will drop support for Python 2.7."
#UPGRADE TO PYTHON 2.7.9 UPGRADE#
Please upgrade your Python as Python 2.7 won’t be maintained after that date. "DEPRECATION: Python 2.7 will reach the end of its life on January 1st, 2020. If you are, then you might also keep seeing the deprecation message (shown below) as a reminder while working with python 2 or pip. There is a good chance that you might still be working on a Python 2 product or testing Python 2 code.
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