Skip to main content

Universal SQL Builder

SQL framework ORM independent, it helps you build sql query in python
What ever you using Hive, HBase, Spark* SQL, Django & FLASK etc so you can gernate simple SQL query
Its return raw sql query string this can be use in any Framework


Installation

Step 1: pip install universal-sql-builder
Step 2: from UniversalSqlBuilder import UniversalSqlBuilder
Step 3: Flow the examples....


Select


UniversalSqlBuilder.table("employee").select("id,name").select(",department").get()


Where

You can use key and value based parameters : where("city=", "ABC")
Or you can use raw where query : where("col=(select id from users)")
UniversalSqlBuilder.table("employee").select("id,name").select(",department").where("ram=(select id from users)").where("city=", "delhi").get()


OrWhere and WhereBetween

If you want data according min and max use :
whereBetween("age",[200,300])  UniversalSqlBuilder.table("employee").select("id,name").whereBetween("age",[200,300]).get()
Using OR with where :
UniversalSqlBuilder.table("employee").select("id,name").orWhere("seller=",'100').get()


GroupBy, OrderBy amd Limit

Use of group by : groupBy("name")


UniversalSqlBuilder.table("employee").select("id,name").groupBy("name").get()

Use order by : orderBy("ID","desc") 


UniversalSqlBuilder.table("employee").select("id,name").orderBy("ID","desc").get()

use with limit : limit(10,20)


UniversalSqlBuilder.table("employee").select("id,name").limit(10,20).get()


Join ('FULL OUTER', 'INNER', 'LEFT', 'RIGHT', 'JOIN')


Default : join("users","users.id=employee.emp_id")

FULL OUTER : join("users","users.id=employee.emp_id","FULL OUTER")

INNER : join("users","users.id=employee.emp_id","INNER")

LEFT : join("users","users.id=employee.emp_id","LEFT")

RIGHT : join("users","users.id=employee.emp_id","RIGHT")

JOIN : join("users","users.id=employee.emp_id","JOIN")


Having & OrHaving

Using OR with Having :
UniversalSqlBuilder.table("employee").select("id,name").orHaving("seller=",'100').get()

You can use key and value based parameters : having("city=", "ABC")
Or you can use raw where query : having("col=(select id from users)")

UniversalSqlBuilder.table("employee").select("id,name").select(",department").having("id=(select id from users)").having("city=", "delhi").get()


Making Advance Query

Using OR with Having :
print(UniversalSqlBuilder.table("employee") .select("id,name") .select(",department") .where("city=", "delhi") .where("order_id=("+UniversalSqlBuilder.table("orders as temp").select("temp.id").orderBy("temp.id", "desc").get()+")") .orWhere("seller=", '100') .orWhere("brand=", 'rock') .having("city=", "delhi") .orHaving("seller=", '100') .orHaving("brand=", 'rock') .whereBetween("age", [200, 300]) .join("users", "users.id=employee.emp_id", "left") .join("cars", "cars.id=employee.emp_id") .groupBy("name") .orderBy("ID", "desc") .limit(10, 20).get())

SELECT id, name, department FROM employee LEFT JOIN users ON users.id = employee.emp_id INNER JOIN cars ON cars.id = employee.emp_id WHERE city = 'delhi' AND order_id = (SELECT temp.id FROM orders AS temp ORDER BY temp.id DESC) AND age >= 200 AND age <= 300 AND (seller = '100' OR brand = 'rock') GROUP BY name HAVING city = 'delhi' AND (seller = '100' OR brand = 'rock') ORDER BY ID DESC LIMIT 20 , 10

Release files for universal-sql-builder 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for universal-sql-builder 0.1.1
File Size Uploaded
universal-sql-builder-0.1.1.tar.gz 8.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for universal-sql-builder 0.1.1
File Interpreter ABI Platform
universal_sql_builder-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 16.2 kB

Release files / universal-sql-builder-0.1.1.tar.gz

Download URL universal-sql-builder-0.1.1.tar.gz
Size 8.0 kB
Tags Source
SHA-256 checksum
How to use checksums
e254d96b296fdbc2f0741b2e49532237d78ef9b430c2791adf76a23942755f0a
BLAKE2b-256 checksum
How to use checksums
08dcb5aa6e45fe106e7b66ef5cad115b8b644fb927335a5254a34bd08cf601ad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5

Release files / universal_sql_builder-0.1.1-py3-none-any.whl

Download URL universal_sql_builder-0.1.1-py3-none-any.whl
Size 8.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
85def83a64c0af5d52f2bd15237dd2c8ec4f2f40b445bc9796086d2da0c40624
BLAKE2b-256 checksum
How to use checksums
e20a7ccba77064ad6f362406547e87d439bc5050a52144e9d44dcf66e60dee7e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5

Release history Release notifications | RSS feed

This release

0.1.1 This release

2 release files

0.1.0

2 release files

0.0.9

2 release files

0.0.8

2 release files

0.0.7

2 release files

0.0.6

2 release files

0.0.5

2 release files

0.0.4

2 release files

0.0.3

2 release files

0.0.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page