sql-parser VS sqlparse

You can tokenize the query using [sql-parser](https://github.com/phpmyadmin/sql-parser) and then write functions to load, filter, sort, and group data, if you really wanted to.

Hi! This is because ansi quotes are not yet supported: https://github.com/phpmyadmin/sql-parser/issues/284 What application does require ansi quotes?

SQL Parser in phpmyadmin is a validating SQL lexer and parser with a focus on MySQL dialect.

Suggest checking out the sqlparse library for a way to do the different flavours without needing to address each case directly: https://github.com/andialbrecht/sqlparse

Gotcha, since we haven't actually written all of this yet I don't have any useful code snippets to share but we've discussed tackling the problem internally using something like sqlparse. You'd need to identify the relevant sql chunks, parse them for table dependency information and then create the relevant entities in whichever data lineage tool you were using.

sqlparse – A non-validating SQL parser module for Python

Regular expressions is a popular approach to extract information from SQL statements. However, regular expressions quickly become too complex to handle common features like WITH, sub-queries, windows clauses, aliases and quotes. sqlparse is a popular python package that uses regular expressions to parse SQL.

This one is not bad: https://github.com/andialbrecht/sqlparse.

We used this repo for this: https://github.com/andialbrecht/sqlparse. I may have miscommunicated. We didn't write the parser from scratch, we created a way for the parser to detect downstream and upstream dependencies of the resource.