问题描述
我正在尝试将MySQL数据库数据转换为json格式.我的文件必须采用嵌套父母和孩子的格式. (请参阅摘要)这是因为我试图使用d3数据可视化(可折叠的树形布局),该可视化要求以某种方式格式化json数据.下面我附上了我的json文件的摘要.我在尝试编写嵌套的sql语句来执行此操作时遇到了一些问题.我还附加了数据库的视觉效果,以查看正在处理的内容.任何建议都会有很大帮助.谢谢!
I am trying to get MySQL database data into json format. My file needs to be in the format of nested parents and children. (see snippet) This is because I am trying to use a d3 data visualization (collapsible tree layout) that requires that the json data be formatted in a certain way. Below I have attached a snippet of what I the json file to look like. I am having some issues trying to write nested sql statements to do this. I have also attached a visual of my database to see what I am dealing with. Any advice will help greatly. Thanks!
我要获取的json格式如下:
The json format I am trying to get is something like this:
{
"name": "Projects",
"children": [
{
"name":"category_name#1", "description":"category",
"children": [
{
"name":"sub_category_name1",
"description":"category description text here",
"children":[
{"name": "project1",
"description":"project 1 text goes here",
"children":[
{"name":"mike", "email":"[email protected]"},
{"name":"dan", "email":"[email protected]"}
]
},
{
"name": "project2",
"description":"project 2 text goes here",
"children":[
{"name":"steve", "email":"[email protected]"},
{"name":"chris", "email":"[email protected]"}
]
}
]
},
{
"name": "sub_category_name2",
"description":"sub category description text goes here..",
"children": [
{"name": "project3",
"description":"project3 text goes here ",
"children":[
{"name":"Alex", "email":"[email protected]"}
]
}
]
}
]
},
.
. //more categories with children of subcategories and sub_cat children of projects
.
}
推荐答案
我过去在本教程中取得了成功: http://www.d3noob.org /2013/02/using-mysql-database-as-source-of-data.html
I've had success with this tutorial in the past:http://www.d3noob.org/2013/02/using-mysql-database-as-source-of-data.html
简而言之,您将要做的是创建一个连接到MySql的php文件,执行查询并将结果转换为json.然后,您将使用此文件代替d3代码中的数据源.
In short what you'll do is create a php file that connects to MySql, performs a query and translates the results into json. You'll then use this file in place of the data source in your d3 code.
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