semvec/pypi-packages huggingface dataset:
ddlparser 1.1
parse sql , compare two .sql file , generate optimization hint for your sql and various other utilities
License: MIT
Requires Python: >=3.9.0


# Project : Sondesh 

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<br>
![logo.png](https://i.ibb.co/x596NHL/logo.png)    

## Description

Sondesh is the name of my cat . I love him very much 
so i've decided to name this project after him.

This project is all about a parser and comparator . 
Question is what it is parsing ? 
- It parse SQL statements , but only DDL statements
- It supports many sql dialects , example oracle , postgresql , sparksql , hive .. 
- There is a cli app ( cli_app.py ), it compares two DDL statements and show you the differences in terminal

## How to use the cli app ? 

```commandline
python cli_app.py
```
- Then just follow the instruction in the terminal 
- You either paste the raw sql or paste any absolute / relative path of sql file

![compare_result.png](https://i.ibb.co/94VWWTy/compare-result.png)

### Dependencies

* Windows 10 , Debian , BSD these are the supported platform 
* Python version >=  3.8

### Installing

* ddl_compare can be installed using pip 

```
pip install ddl-parse
```

### Usage

```python
from ddlparser import ddl_parser
import pprint

result = ddl_parser.parse_from_file('/home/koushik/sample_ddl.sql')
pprint.pprint(result)
``` 

Using the CLI APP . 

1. Just Open the Terminal 
2. type sondesh
3. VOALAA !!!!! 

![logo_terminal.png](https://i.ibb.co/F67hnjf/cli-app-terminal.png)

## What Next :

1. Integration to remote file system to load .sql from there and parse it
2. Integration with data-catalogues like spark catalogue or hive metastore and compare ddl.