Validates syntax without connecting to a database
Prepares a detailed SQL parse tree node structure
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.
Easily integrate SQL formatter into your application to generate a color coded, professional, and intuitive SQL layout, giving your product a professional feeling.
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.
Avoid being vulnerable to SQL injection on your ASP.NET or Java application, by automatically detecting malicious SQL segment with our operational library.
Precisely determining and renaming every table and column in stored SQL statements is very complex with a lot of nesting and sub-queries. With us, however, that tedious procedure can become hassle-free one for you.
Parse out the affected SQL objects in a SQL file that can have many different types of SQL (select, insert, create, drop, etc). this can help determine what is being affected, including but not limited to schema, table, column.
Quickly locate the primary key and/or foreign key in DDL scripts to figure out the complex relationship between the various tables. Extracted table, attribute names, data types can all be used to generate the CRUD-Statements.
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.
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.
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.
Determining the impact and data lineage for database objects. capture and represent column level data lineage between applications; find table/view and column references and more.
If you have any questions about General SQL Parser, You can always send us an email and we'll get back to you within 24 hours.