Python Implementation of Pipelined Relational Query Language (PRQL)
Project description
PyPrql
Python implementation of PRQL.
Documentation of PRQL is at https://github.com/max-sixty/prql
Installation
pip install pyprql
CLI
Usage:
prql 'connection_string'
prql 'postgresql://user:password@localhost:5432/database'
Examples:
prql 'sqlite:///chinook.db'
Try it out:
curl https://github.com/qorrect/PyPrql/blob/main/resources/chinook.db?raw=true -o chinook.db
prql "sqlite:///chinook.db"
PRQL> show tables
pyprql.to_sql
query='''
from employees
filter country = "USA"
derive [
gross_salary: salary + payroll_tax,
gross_cost: gross_salary + benefits_cost
]
filter gross_cost > 0
aggregate by:[title, country] [
average salary,
sum salary,
average gross_salary,
sum gross_salary,
average gross_cost,
sum_gross_cost: sum gross_cost,
row_count: count salary
]
sort sum_gross_cost
filter row_count > 200
take 20
'''
from pyprql import to_sql
sql = to_sql(query)
print(sql)
SELECT AVG(salary),
SUM(salary),
AVG(salary + payroll_tax),
SUM(salary + payroll_tax),
AVG(salary + payroll_tax + benefits_cost),
SUM(salary + payroll_tax + benefits_cost) as sum_gross_cost,
COUNT(salary) as row_count,
salary + payroll_tax as gross_salary,
(salary + payroll_tax) + benefits_cost as gross_cost
FROM `employees` employees_e
WHERE country="USA" AND (gross_salary+benefits_cost)>0
GROUP BY title, country
HAVING row_count >200
ORDER BY sum_gross_cost
LIMIT 20
Differences from the spec
The parser is only able to parse casts in select statements insde of [ ], so
select foo | as float
will fail, it must be wrapped in brackets as a single item list.
select [ foo | as float ]
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
pyprql-0.2.0.tar.gz
(17.9 kB
view details)
Built Distribution
pyprql-0.2.0-py3-none-any.whl
(18.0 kB
view details)
File details
Details for the file pyprql-0.2.0.tar.gz.
File metadata
- Download URL: pyprql-0.2.0.tar.gz
- Upload date:
- Size: 17.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1c537fc98279c1320ee876b9337fb57af33dffe0385ad047ade2eff5206dfee8 |
|
| MD5 | da36e2bb337b97fab2b30273ab700390 |
|
| BLAKE2b-256 | dd31e616fb9465e52baf0f3708366e6e0b3cf83abb304f215b7deb8b51592b01 |
Provenance
File details
Details for the file pyprql-0.2.0-py3-none-any.whl.
File metadata
- Download URL: pyprql-0.2.0-py3-none-any.whl
- Upload date:
- Size: 18.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1c2b93a86f0fb541715cba4aedd3fdbb8498d3174b8b3ca1cf244ef00e0ef7d2 |
|
| MD5 | ee612cb989b5459f0c4397f52f2dcdb9 |
|
| BLAKE2b-256 | d191c3ab2e111b9fc5e1e4fe0bdcf7fef90504c556f74d387a0a5ccca7d70bd4 |
