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Converter to turn sql tables into Python classes

VanDenHendeSimon/sql-to-python-classes

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README.md

MySQL Table Mapping To Python Automation

During my Data Management course at Howest University, we learned the ins and outs of the Data Manupilation Language. Translated: CRUD. Translated: Create Read Update Delete.

However, to access your database, and be able to execute these queries from your serivce (like a website), an exact replica of each database table had to be created. The emphasis here lies on exact. The main 3 parameters are:
— Datatype
— Limits
— Where are nulls allowed?

This sounds very straight forward, but we have to keep in mind that datatypes in MySQL are not exact matches of datatypes in Python.

Take for instance CHAR (50), or VARCHAR (50), or DECIMAL (8,2), or tinyint, smallint, mediumint, … The list goes on. These have to be processed and validated carefully in the setter function of each property, which mirrors one column of one table.

When your database has a lot of tables, which have a lot of columns, this can rapidly turn into a lot of work. On top of that, there is also a very high risk to commit human-errors. Both of these I thought could be avoided by automation.

All of this manual labor is eliminated by this script.
All of the generated code is included in this repo: ./sql/anyfolder_python

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Converter to turn sql tables into Python classes

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Convert SQL strings into Python syntax trees

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pysparkling/python-sql-parser

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README.md

This package convert SQL string into a syntax tree object.

These objects can then be manipulated via Python’s code.

The SQL syntax used is the one used by Apache Spark, based on Presto’s one.

from sqlparser import parse_statement from sqlparser.utils import print_tree tree = parse_statement('SELECT * FROM table WHERE column LIKE "%Python%"') print_tree(tree)

Result (each line is a node of the tree):

|SingleStatementContext |-StatementDefaultContext |--QueryContext |---QueryTermDefaultContext |----QueryPrimaryDefaultContext |-----RegularQuerySpecificationContext |------SelectClauseContext |-------TerminalNodeImpl[SELECT] |-------NamedExpressionSeqContext |--------NamedExpressionContext |---------ExpressionContext |----------PredicatedContext |-----------ValueExpressionDefaultContext |------------StarContext |-------------TerminalNodeImpl[*] |------FromClauseContext |-------TerminalNodeImpl[FROM] |-------RelationContext |--------TableNameContext |---------MultipartIdentifierContext |----------ErrorCapturingIdentifierContext |-----------IdentifierContext |------------UnquotedIdentifierContext |-------------NonReservedContext |--------------TerminalNodeImpl[table] |-----------RealIdentContext |---------TableAliasContext |------WhereClauseContext |-------TerminalNodeImpl[WHERE] |-------PredicatedContext |--------ValueExpressionDefaultContext |---------ColumnReferenceContext |----------IdentifierContext |-----------UnquotedIdentifierContext |------------NonReservedContext |-------------TerminalNodeImpl[column] |--------PredicateContext |---------TerminalNodeImpl[LIKE] |---------ValueExpressionDefaultContext |----------ConstantDefaultContext |-----------StringLiteralContext |------------TerminalNodeImpl["%Python%"] |---QueryOrganizationContext |-TerminalNodeImpl[] 

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Convert SQL strings into Python syntax trees

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Sql To Python Converter

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LAST UPDATED: 24 Oct, 2022 289 PEOPLE USED

Pandas.DataFrame.to_sql — Pandas 1.4.0 Documentation

pandas.DataFrame.to_ sql ¶ DataFrame. to_ sql (name, con, schema = None, if_exists = ‘fail’, index = True, index_label = None, chunksize = None, dtype = None, method = None) [source] ¶ Write records stored in a DataFrame to a SQL database. Databases supported by SQLAlchemy are supported. Tables can be newly created, appended to, or overwritten.

Introduction To Python SQL Libraries – Real Python

In the above script, you define a function create_connection() that accepts three parameters:. host_name; user_name; user_password; The mysql.connector Python SQL module contains a method .connect() that you use in line 7 to connect to a MySQL database server. Once the connection is established, the connection object is returned to the calling function. Finally, in .

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