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Tech UpdatesSeptember 5, 20263 min

Open-source tool: Simple example of syntax conversion for batch SQL code: 'ORACLE START WITH CONNECT' syntax conversion

Open-source Tool: A Simple Syntax Transformation Example for Batch SQL Code: Transforming 'ORACLE START WITH CONNECT' Syntax ## Introduction During project migration between different databases, compatibility issues with SQL...

Open-source Tool: A Simple Syntax Transformation Example for Batch SQL Code: Transforming 'ORACLE START WITH CONNECT' Syntax

Introduction

During project migration between different databases, compatibility issues with SQL syntax often arise. If a large amount of code needs to be rewritten manually, it can take a lot of time and increase the likelihood of errors. However, there are tools that can automatically transform syntax in large volumes. In this article, we will explore the use of the open-source tool ZGLanguage to automatically convert SQL code for solving the "ORACLE START WITH CONNECT" syntax issue.

Problem and Solution

Problem

When migrating projects between different databases, compatibility issues with SQL syntax often arise. For example, code written in Oracle may not work on another database management system without additional changes. If a large amount of code needs to be rewritten manually, it can take a lot of time and increase the likelihood of errors.

Solution

For automatic conversion of syntax code in large volumes, the open-source tool ZGLanguage can be used. It helps developers batch convert SQL code, thereby reducing the workload of manual modifications and error rates.

Syntax Transformation Example

Original Code

Suppose we have the following Oracle code using the "START WITH CONNECT BY NOCYCLE" syntax:

SELECT * FROM tree START WITH id = 1 CONNECT BY NOCYCLE PRIOR id = parentid;

Transformed Code

Through setting transformation rules, this code can be transformed into the following code using the "WITH RECURSIVE" syntax:

WITH recursive wr_tree AS (
    SELECT id, parentid, 1 as level 
    FROM tree 
    WHERE id = 1
    UNION ALL
    SELECT tree.id, tree.parentid, level + 1 
    FROM tree, wr_tree 
    WHERE tree.parentid = wr_tree.id
)
SELECT * FROM wr_tree ORDER BY id;

Transformation Rule Configuration

Reconfiguration of the transformation rule can be done through the file START_WITH_CONNECT_SQL_REPLACE.syn:

__DEF_FUZZY__ Y
__DEF_DEBUG__ N
__DEF_CASE_SENSITIVE__ N
__DEF_LINE_COMMENT__ --
__DEF_LINES_COMMENT__ /* */
__DEF_STR__
__IF_KW__ <1,100> [1,1]ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz [0,100]ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789_
__DEF_PATH__
__START_WITH_CONNECT__ 1 : sel @ %__IF_KW__ | select : cc @ | * : frm @ | from : srctab @ | __NAME__ : sta @ %__IF_KW__ | start : wth @ %__IF_KW__ | with : swp @ | __NAME__ : dy1 @ | = : int @ | __INT__ : str @ + __STRING__ : cnn @ %__IF_KW__ | connect : by @ %__IF_KW__ |
...

Advantages of Using ZGLanguage

Accelerating Migration Process

Using ZGLanguage allows significantly accelerating the migration process between different databases, as it automatically transforms syntax code.

Reducing Error Risk

Thanks to the automation of the code transformation process, the risk of errors is significantly reduced.

Saving Time

Manually rewriting a large amount of code takes a lot of time. Using ZGLanguage saves developers' time.

Conclusion

The open-source tool ZGLanguage provides an effective solution for automatically transforming large volumes of SQL syntax code. This is particularly useful when migrating projects between different databases where syntactic differences may cause problems.