Home Database Mysql Tutorial Oracle 去掉小数末尾的0的方法

Oracle 去掉小数末尾的0的方法

Jun 07, 2016 pm 05:10 PM

Oracle PL/SQL查询语句有的时候要将number类型的字段转换成varchar2类型 在报表或页面上经常会出现:

Oracle PL/SQL查询语句有的时候要将number类型的字段转换成varchar2类型
在报表或页面上经常会出现:

.440
.441
1.0
10.100

之类的数据,,要不就是小数点前面的0被to_char或cast函数去掉了,或是末尾的无效小数位上的0没有被去掉,很是闹心。
jsp界面上还好处理,可以用类似下面的方法来处理:

Jsp代码

  • 体重:(Km)
    但是在超级报表中,单元格中要显示的数字就不太好处理了,要将查询出的字段进行处理,
    下面我总结了一下处理方法:
    step1:格式化将小数点前的0保留、去掉末尾的0,去掉前面因格式化产生的多余的空格:

    Plsql代码

    select t.num from( select ltrim(rtrim(to_char(0.44, '99990.000'), '0') , ' ') as num from dual union select ltrim(rtrim(to_char(0.441, '99990.000'), '0'), ' ') as num from dual union select ltrim(rtrim(to_char(1.0, '99990.0'), '0'), ' ') as num from dual union select ltrim(rtrim(to_char(10.100, '99990.000'), '0'), ' ') as num from dual )t /* 结果: 0.44 0.441 1. 10.1 */

    step2:去掉可以多余的小数点:

    Plsql代码

    linux

  • Statement of this Website
    The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

    Hot AI Tools

    Undresser.AI Undress

    Undresser.AI Undress

    AI-powered app for creating realistic nude photos

    AI Clothes Remover

    AI Clothes Remover

    Online AI tool for removing clothes from photos.

    Undress AI Tool

    Undress AI Tool

    Undress images for free

    Clothoff.io

    Clothoff.io

    AI clothes remover

    AI Hentai Generator

    AI Hentai Generator

    Generate AI Hentai for free.

    Hot Article

    R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
    1 months ago By 尊渡假赌尊渡假赌尊渡假赌
    R.E.P.O. Best Graphic Settings
    1 months ago By 尊渡假赌尊渡假赌尊渡假赌
    R.E.P.O. How to Fix Audio if You Can't Hear Anyone
    1 months ago By 尊渡假赌尊渡假赌尊渡假赌
    R.E.P.O. Chat Commands and How to Use Them
    1 months ago By 尊渡假赌尊渡假赌尊渡假赌

    Hot Tools

    Notepad++7.3.1

    Notepad++7.3.1

    Easy-to-use and free code editor

    SublimeText3 Chinese version

    SublimeText3 Chinese version

    Chinese version, very easy to use

    Zend Studio 13.0.1

    Zend Studio 13.0.1

    Powerful PHP integrated development environment

    Dreamweaver CS6

    Dreamweaver CS6

    Visual web development tools

    SublimeText3 Mac version

    SublimeText3 Mac version

    God-level code editing software (SublimeText3)

    Explain InnoDB Full-Text Search capabilities. Explain InnoDB Full-Text Search capabilities. Apr 02, 2025 pm 06:09 PM

    InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

    How do you alter a table in MySQL using the ALTER TABLE statement? How do you alter a table in MySQL using the ALTER TABLE statement? Mar 19, 2025 pm 03:51 PM

    The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

    When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

    Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

    Can I install mysql on Windows 7 Can I install mysql on Windows 7 Apr 08, 2025 pm 03:21 PM

    Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

    How do I configure SSL/TLS encryption for MySQL connections? How do I configure SSL/TLS encryption for MySQL connections? Mar 18, 2025 pm 12:01 PM

    Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

    What are some popular MySQL GUI tools (e.g., MySQL Workbench, phpMyAdmin)? What are some popular MySQL GUI tools (e.g., MySQL Workbench, phpMyAdmin)? Mar 21, 2025 pm 06:28 PM

    Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

    Difference between clustered index and non-clustered index (secondary index) in InnoDB. Difference between clustered index and non-clustered index (secondary index) in InnoDB. Apr 02, 2025 pm 06:25 PM

    The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values ​​and pointers to data rows, and is suitable for non-primary key column queries.

    How do you handle large datasets in MySQL? How do you handle large datasets in MySQL? Mar 21, 2025 pm 12:15 PM

    Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

    See all articles