thinkphp数据查询和遍历数组实例,thinkphp数据查询
thinkphp数据查询和遍历数组实例,thinkphp数据查询
本文实例讲述了thinkphp数据查询和遍历数组的方法。分享给大家供大家参考。具体方法如下:
数据库可以使用DSN方法进行配置:
复制代码 代码如下:
'DB_PREFIX'=>'tp_', //设置表前缀
'DB_DSN'=>'mysql://root:@localhost:3306/thinkphp',//使用DSN方式配置数据库信息
如果两种方式同时存在,以DSN方式为优先,还有一种简单实用模型的方式.
M() 等效为 new Model();
复制代码 代码如下:
$m=M('User');//表名要大写非常重要
$arr=$m->select();
使用模型的实例可以对数据进行操作,操作的工作一般就是对数据库进行 增删改查 CURD
增 -C Create $m->add()
删 -D Delete $m->delete()
改 -U Update $m->save()
查 -R Read $m->select()
复制代码 代码如下:
$m=M('User');//表名要大写非常重要
$arr=$m->select();//得到的是一个数组
$this->assign('data',$arr);//把一个二维数组分配给data
$this->display();//调用模板
模板可以遍历数组
复制代码 代码如下:
//vo代表的是当前的数组,因为是二维数组按顺序读取。
---------
我们可以开启调试功能中的page_trace,帮助进行调试用的
1.开启调试功能 在index.php中
复制代码 代码如下:
define('APP_DEBUG',true);//开启调试模式
2.需要设置配置文件config.php(Home/Conf/),开启页面trace
复制代码 代码如下:
'SHOW_PAGE_TRACE'=>true,//开启页面Trace
然后刷新就会在页面右下角出现调试台,可以查看sql、错误、流程、文件等调式信息.
希望本文所述对大家的ThinkPHP框架程序设计有所帮助。

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



The method of using a foreach loop to remove duplicate elements from a PHP array is as follows: traverse the array, and if the element already exists and the current position is not the first occurrence, delete it. For example, if there are duplicate records in the database query results, you can use this method to remove them and obtain results without duplicate records.

Methods for deep copying arrays in PHP include: JSON encoding and decoding using json_decode and json_encode. Use array_map and clone to make deep copies of keys and values. Use serialize and unserialize for serialization and deserialization.

The performance comparison of PHP array key value flipping methods shows that the array_flip() function performs better than the for loop in large arrays (more than 1 million elements) and takes less time. The for loop method of manually flipping key values takes a relatively long time.

PHP's array_group_by function can group elements in an array based on keys or closure functions, returning an associative array where the key is the group name and the value is an array of elements belonging to the group.

The best practice for performing an array deep copy in PHP is to use json_decode(json_encode($arr)) to convert the array to a JSON string and then convert it back to an array. Use unserialize(serialize($arr)) to serialize the array to a string and then deserialize it to a new array. Use the RecursiveIteratorIterator to recursively traverse multidimensional arrays.

Multidimensional array sorting can be divided into single column sorting and nested sorting. Single column sorting can use the array_multisort() function to sort by columns; nested sorting requires a recursive function to traverse the array and sort it. Practical cases include sorting by product name and compound sorting by sales volume and price.

PHP's array_group() function can be used to group an array by a specified key to find duplicate elements. This function works through the following steps: Use key_callback to specify the grouping key. Optionally use value_callback to determine grouping values. Count grouped elements and identify duplicates. Therefore, the array_group() function is very useful for finding and processing duplicate elements.

The PHP array merging and deduplication algorithm provides a parallel solution, dividing the original array into small blocks for parallel processing, and the main process merges the results of the blocks to deduplicate. Algorithmic steps: Split the original array into equally allocated small blocks. Process each block for deduplication in parallel. Merge block results and deduplicate again.
