https://github.com/legolasvzla/pgplsql-useful-examples
Pgplsql useful scripts examples
https://github.com/legolasvzla/pgplsql-useful-examples
database-migrations etl geopy plpgsql plpgsql-scripts plpython postgis postgresql tree-structure
Last synced: about 2 months ago
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Pgplsql useful scripts examples
- Host: GitHub
- URL: https://github.com/legolasvzla/pgplsql-useful-examples
- Owner: LegolasVzla
- License: mit
- Created: 2019-07-10T02:06:58.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-02-20T15:07:55.000Z (over 5 years ago)
- Last Synced: 2025-02-27T23:14:35.416Z (7 months ago)
- Topics: database-migrations, etl, geopy, plpgsql, plpgsql-scripts, plpython, postgis, postgresql, tree-structure
- Language: PLpgSQL
- Size: 411 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# pgplsql-useful-examples
Pgplsql useful scripts examples
This a repository for Pgplsql useful scripts examples.
## ETL's
Some examples of a data migration between 2 PostgreSQL databases, related with a Aeronautic sector project. Some useful things that you can found there are:
- Use of the Cursors
- Cleaning of data
- And more things...
## Tree queries
* Use:
Give permissions to execute_all.sh file:
chmod +x execute_all.sh
Login as a postgres user:
sudo -i -u postgres
Move to the path where your clone this repository and then go to tree-queries folder:
cd tree-queries/
Finally, execute the execute_all.sh file:
./execute_all.sh
* Structure:
Files are contained inside of the temporal_schema folder, with the below structure:
a) schema -> functions: generating queries with tree json format.
b) schema -> tables: examples tables.
c) schema -> data: mock data.
## Tree postgis queries
* Use:
Give permissions to execute_all.sh file:
chmod +x execute_all.sh
Login as a postgres user:
sudo -i -u postgres
Move to the path where your clone this repository and then go to tree-postgis-queries folder:
cd tree-postgis-queries/
Finally, execute the execute_all.sh file:
./execute_all.sh
* Structure:
Files are contained inside of the temporal_schema folder, with the below structure:
a) schema -> functions: generating queries with tree json format:
- udf_spots_nearby_current_user_position: get the first 5 nearest records disregard how far the are away from the current location.
- udf_images_get.sql: get the images list related with a spot.
- udf_categories_get.sql: get the categories list related with a spot.
- udf_like_actions_get.sql: get the likes list related with a spot.
- udf_comments_get.sql: get the comments related with a spot.
- udf_commented_liked_get.sql: get the likes related with a comment of a spot.
- udf_users_tagged_get.sql: get the users tagged related with a spot.
- udf_tags_get.sql: get the tags related with a spot.
- udf_spots_nearby_within_X_kilometers_from_current_user_position: get the places within 2 km (or you can custom) from the current position where you are. This search also include places of your friends.
- udf_spots_nearby_by_filter_place_name.sql: get the places within 2 km (or you can custom) from the current position where you are, filter by a place name. This search also include places of your friends.
- udf_spot_timeline_get.sql: get the places that belongs to my friends or me.
- udf_spot_profile_get.sql: get the user profile of an account.
b) schema -> tables: examples tables. In "spots" table you can find PostGIS geometry columns (geom and position) used in the functions.
c) schema -> data: mock data.
* Database model schema:
* Response status codes:
udf_spots_nearby_within_X_kilometers_from_current_user_position return a response with the below standard:
- Success case:
{ "status" : "success", "data" : [{ }] }
- Fail case:
{ "status" : "fail", "data" : [{ } ]}
See more documentation in: [postgis](http://postgis.net/documentation/)
## Plpython3u examples
Use:
Assuming you are on Ubuntu, install plpython3 as follow:
sudo apt-get update
sudo apt-get install postgresql-contrib postgresql-plpython3
Move to the path where your clone this repository and then go to plpython3u-examples folder:
cd plpython3u-examples/
Create your virtualenv and install the requirements:
virtualenv env --python=python3
source env/bin/activate
pip install -r requirements.txt
Give permissions to execute_all.sh file:
chmod +x execute_all.sh
Login as a postgres user:
sudo -i -u postgres
Finally, execute the execute_all.sh file:
./execute_all.sh
Structure:
Files are contained inside of the temporal_schema folder, with the below structure:
a) schema -> functions:
- udf_reverse_geocoding_geopy: get full adress of a point from latitude and longitude parameters using geopy.
See more documentation in: [geopy](https://github.com/geopy/geopy)
Contributions
-----------------------
All work to improve performance is good
Enjoy it!