MySQL SQL Parser

The built-in MySQL SQL engine in General SQL Parser provides in-depth analysis of an organization's MySQL SQL script(including function/procedure of course) at a detailed level that would not be possible without a complete, 100% compatible query parser.

Parsing SQL is a notoriously difficult task because the SQL syntax of MySQL is very ambiguous in a lot of places. Many people have attempted to write a full SQL grammar with parser generate tool and failed.

Now you can fully incorporated this MySQL SQL parser into your products, instantly adding a powerful SQL processing capability to your program. With the right library, you can get your job done quickly by saving hundred of hours, if not more, on developing time.

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. With us, however, that tedious procedure can become hassle-free one 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.


Supported SQL

Level 1: SQL parser recognizes that this is a valid SQL statement, but can't validate the syntax of this specific SQL statement. This demo shows how General SQL Parser can handle this kind of SQL statements.

Level 2: SQL Parser fully parses this kind of SQL statements with detailed query parse tree node elements and provides everything you need to analyze and manipulate this kind of SQL statements.

Level 1 statements: 119, Level 2 statements: 23, generated by General SQL Parser Java Version,2017/09/29

SQL statements Level 1 Level 2
alter database Y
alter function Y
alter procedure Y
alter table Y Y
alter view Y
analyze table Y
backup table Y
begin Y
cache index Y
call Y Y
case Y
change master to Y
check table Y
checksum table Y
close Y
commit Y
create aggregate function Y Y
create database Y
create definer = current_user procedure Y Y
create definer = current_user trigger Y Y
create fulltext index Y Y
create or replace view Y Y
create table Y Y
create user Y
deallocate prepare Y
declare Y
delete Y Y
delimiter Y
desc Y Y
do Y
drop database Y
drop function Y
drop index Y Y
drop prepare Y
drop procedure Y
drop table Y Y
drop trigger Y
drop user Y
drop view Y
execute Y Y
explain Y Y
fetch Y
flush Y
grant Y
handler Y
if Y
insert Y Y
iterate Y
kill Y
leave Y
load data from master Y
load data infile Y
load index into cache Y
load table Y
lock table Y
loop Y
open Y
optimize local table Y
prepare Y Y
purge binary logs Y
release savepoint Y
rename table Y
rename user Y
repair local table Y
repeat Y
replace Y Y
reset Y
reset master Y
reset slave Y
restore table Y
revoke Y
rollback Y
savepoint Y
select Y Y
set Y Y
set autocommit Y
set global sql_slave_skip_counter Y
set global transaction Y
set sql_log_bin Y
show bdb logs Y
show binlog events Y
show character set Y
show collation Y
show columns Y
show create database Y
show create function Y
show create procedure Y
show create table Y
show create view Y
show databases Y
show engines Y
show errors Y
show fields Y
show full processlist Y
show full tables Y
show function status Y
show global status Y
show global variables Y
show grants Y
show index Y
show innodb status Y
show master logs Y
show master status Y
show privileges Y
show profile Y
show profiles Y
show slave hosts Y
show slave status Y
show table status Y
show triggers Y
show warnings Y
signal Y Y
start slave Y
stop slave Y
truncate Y Y
unlock tables Y
update Y Y
use Y Y
while Y


Any other benefits can I get by using this SQL Parser?

Yes, of course. We collect all kinds of examples in this page to illustrate how and why you want to use general sql parser, hope it can help you to make better use of this library.



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.