Oracle SQL Parser

The built-in Oracle SQL engine in General SQL Parser provides in-depth analysis of an organization's Oracle SQL script(including PLSQL script) 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 syntax of Oracle SQL 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 Oracle 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: 123, Level 2 statements: 35, generated by General SQL Parser Java Version,2017/09/29

SQL statements Level 1 Level 2
alter cluster Y
alter database Y
alter dimension Y
alter diskgroup Y
alter function Y
alter index Y
alter indextype Y
alter java Y
alter materialized view Y
alter materialized view log Y
alter operator Y
alter outline Y
alter package Y
alter procedure Y
alter profile Y
alter resource cost Y
alter role Y
alter rollback segment Y
alter sequence Y
alter session Y Y
alter system Y
alter table Y Y
alter tablespace Y
alter trigger Y Y
alter type Y
alter user Y
alter view Y Y
analyze Y
associate statistics Y
audit Y
call Y Y
comment Y Y
commit Y
create bigfile tablespace Y
create bitmap index Y Y
create cluster Y
create context Y
create controlfile Y
create editionable function Y Y
create editionable package Y Y
create editionable package body Y Y
create editionable procedure Y Y
create database Y Y
create database link Y
create dimension Y
create directory Y Y
create diskgroup Y
create force view Y Y
create global temp table Y Y
create indextype Y
create java Y
create library Y Y
create materialized view Y Y
create materialized view log Y
create operator Y
create or replace public synonym Y Y
create or replace trigger Y Y
create or replace type Y Y
create or replace type body Y Y
create outline Y
create pfile Y
create profile Y
create resotre point Y
create role Y
create rollback segment Y
create schema Y
create sequence Y Y
create spfile Y
create user Y
delete Y Y
disassociate statistics Y
drop cluster Y
drop context Y
drop database Y
drop database link Y
drop dimension Y
drop directory Y
drop diskgroup Y
drop function Y
drop index Y Y
drop indextype Y
drop java Y
drop library Y
drop materialized view Y
drop materialized view log Y
drop operator Y
drop outline Y
drop package Y
drop procedure Y
drop profile Y
drop public synonym Y
drop restore point Y
drop role Y
drop rollback segment Y
drop sequence Y Y
drop table Y Y
drop tablespace Y
drop trigger Y
drop type Y
drop type body Y
drop user Y
drop view Y Y
execute Y Y
execute immediate Y Y
explain plan Y Y
flashback database Y
flashback table Y
grant Y
insert Y Y
lock table Y
merge Y Y
noaudit Y
purge Y
rename Y
revoke Y
rollback Y
savepoint Y
select Y Y
set constraint Y
set role Y
set transaction Y
truncate Y Y
update Y Y



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.


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.