README.md python-sqlparser A Python Module for the 'General SQL Parser' library (sqlparser.com) Supported Systems This library currently supports: Windows 32bit/64bit and Linux 32bit/64bit. There are currently no binaries for Mac OSX available.
Alternatives to JSqlParser? General SQL Parser looks pretty good, with extended SQL syntax (like PL/SQL and T-SQL) and java +.NET APIs. The tool is commercial (license available online), with a free download option.
Also, please note that this module does not support Python 3.* Installation Simply clone or download this git and execute python setup.py build python setup.py install The setup script will automatically download the right library (from sqlparser.com) for you. Usage Simply import the module with import sqlparser The following example will parse a simple query.
Due to the complexity of the SQL grammar, many people have attempted but failed to generate a successful parser. Here, at Gudu Software, we have developed a parser that can successfully reduce the difficulties associated with decoding SQL grammar. Vendors are constantly releasing new versions of databases, so maintaining an original home-grown SQL parser is time consuming, error-prone, and costly. We are dedicated to helping your product adapt to the latest versions of database programs. With the appropriate library, like the one we provide, you can save hundred of hours, if not more, on developing time.
As a result, the efficiency of your business will increase dramatically. FEATURES: Clean up messy SQL codes: Easily integrate SQL formatter into your application for a color coded layout that is easy to navigate, giving your product a professional feeling. Detect SQL syntax errors: Your application will be able to validate SQL syntax before a database executes the query.
This is very useful especially if your SQL was dynamically built based on user input. Rid SQL injections: Avoid being vulnerable to SQL injection in your ASP.NET or Java application, by automatically detecting malicious SQL segment with our ready-to-use library. Retrieve/Refactor table & column name: Precisely determining and renaming every table and column in stored SQL statements is very complex with a lot of nesting and sub-queries, but we can make it hassle-free for you. Find affected SQL objects: Parse out the affect SQL objects in a SQL file that can have many different types of SQL (select, insert, create, drop, etc), and helping to determine what is being affected, including but not limited to schema, table, column.
Discover the relationship in DDL: Quickly locate the primary key and/or foreign key in DDL scripts to figure out the complex relationship among the various tables. Extracted table, attribute names, data types can be used to generate the CRUD-Statements. Query parse tree in XML: Parsing SQL is a notoriously difficult task, but we are here to help. You will be provided with a SQL query parse tree in XML output that will allow you to further process SQL scripts. Rewrite and convert SQL: Modify SQL expression/condition in where clause to reconstruct a new filter. Rewrite Oracle proprietary joins to ANSI SQL compliant joins. Translate SQL between different databases.
CRUD Reportor: Read complex and large SQL scripts to find out tables have Create, Read, Update, Delete and Insert operations against them immediately, it's almost impossible to do that without help with a tool. SQL Parser can even do more: We are dedicated to constantly improving our product so it will be easier to use with more flexibility, making it a valuable asset to your software product. Here, we have provided you with additional demos that may be helpful to you.
New Release -support - character in DB2 identifier -support parenthesis in the left side of set clause of DB2. -rename unit dbcmds to lzdbcmds. -support sql server deny statement -support sql statement that block statement that follow declare statement directly.
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