django-multiple-schemas
pgsync
| django-multiple-schemas | pgsync | |
|---|---|---|
| 1 | 1 | |
| 10 | 1,071 | |
| - | - | |
| 0.0 | 7.5 | |
| about 3 years ago | 20 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
django-multiple-schemas
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Production-ready shell startup scripts: The Set Builtin
When you build an application and make it available through container technology, either you have an ENTRYPOINT or CMD instructions at the end of its Dockerfile. Depending on which framework you're using and some requirements you have, sometimes it's better to have a bash script responsible for running your project. When it's available, generally, you'll see a bunch of commands that are executed, like the following script I created for the project Django Multiple Schemas:
pgsync
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Improving Postgres Text Search Speed 7x on Millions of Records
PGSync might be useful for those who don't mind also running Elasticsearch
https://github.com/toluaina/pgsync
What are some alternatives?
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