Parsing machine-generated SQL in SQL Server [closed] - sql

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Ninjas,
this is a little bit hard.
I have an application's audit database based on SQL Server 2012. Inside there is a table with NTEXT column that contains raw text of sql queries. The queries are machine-like generated and they're not 'human friendly' readable (column is up to 20000 chars long, has a lot of aliases etc).
I am looking for a tool that allows me to parse that sql queries texts and will list all the columns and tables that are used in the query.
Up to now we've tried to figure out the algorithm on our own. But maybe there is a ready tool that will do it automaticly.
Thanks in advance for your help
Kaspar_

Answer 1

Create a new C# project. NuGet package id="Microsoft.SqlServer.TransactSql.ScriptDom" version="13.0.1601.5" targetFramework="net46"
Then you can do all kinds of cool things. Here is some sample code to capture parse errors. You will want to use the Parser that corresponds to your version of SQL Server naturally.
using Microsoft.SqlServer.TransactSql.ScriptDom;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
namespace <EnterNamespaceHere>
{
public class ParsingError
{
public ParsingError(ParseError error)
{
Number = error.Number;
Offset = error.Offset;
Line = error.Line;
Column = error.Column;
Message = error.Message;
}
public int Column { get; private set; }
public int Line { get; private set; }
public string Message { get; private set; }
public int Number { get; private set; }
public int Offset { get; private set; }
public override string ToString()
{
return $"Error {Number} at offset {Offset} ({Line},{Column}): '{Message}'";
}
}
public static class TSqlHelper
{
public static bool ParseSyntax(string sql,
out IEnumerable<ParsingError> reportedErrors)
{
TSqlParser parser = new TSql130Parser(true);
IList<ParseError> errors;
using (StringReader rdr = new StringReader(sql))
{
parser.Parse(rdr, out errors);
}
if (errors != null && errors.Count > 0)
{
reportedErrors = errors.Select(
pe => new ParsingError(pe));
return false;
}
reportedErrors = null;
return true;
}
}
}