JSON-MODIFY什么意思
时间: 2023-09-24 07:11:02 浏览: 40
JSON_MODIFY是SQL Server中的一个函数,用于在JSON格式的文本字符串中修改或添加一个属性的值,或者在JSON数组中修改或添加一个元素的值。该函数的语法如下:
```
JSON_MODIFY ( expression , path , newValue )
```
其中,expression是要修改的JSON文本字符串,path表示要修改的JSON属性或元素的路径,newValue表示要更新的值。如果该路径不存在,则会自动添加该属性或元素。
例如,下面的示例将更新JSON文本字符串中的"name"属性值为"John":
```
DECLARE @json NVARCHAR(MAX) = '{"id": 1, "name": "Tom", "age": 30}'
SET @json = JSON_MODIFY(@json, '$.name', 'John')
SELECT @json
```
输出结果为:
```
{"id":1,"name":"John","age":30}
```
可以看到,JSON文本字符串中的"name"属性值已经被更新为"John"。
相关问题
html5 json表单,javascript - How to convert FormData (HTML5 object) to JSON - Stack Overflow
To convert FormData (HTML5 object) to JSON, you can use the following code:
```
function formDataToJson(formData) {
let json = {};
formData.forEach((value, key) => {
if (!json[key]) {
json[key] = value;
return;
}
if (Array.isArray(json[key])) {
json[key].push(value);
return;
}
json[key] = [json[key], value];
});
return JSON.stringify(json);
}
```
This function converts FormData to a JSON object. If the FormData object has multiple values for the same key, the function converts them to an array in the JSON object. You can call this function by passing the FormData object as an argument.
Note that the above code assumes that all values in the FormData object are strings. If your FormData object contains other data types, you may need to modify the code accordingly.
Batch-export files to JSON Object Scene format
To batch-export files to JSON Object Scene format, you can use a script or a dedicated software tool. Here is an example of how to do it using a script in Python:
1. First, make sure you have Python installed on your computer.
2. Install the required Python modules: three.js and argparse. You can do this using pip, the Python package installer, by running the following commands:
```
pip install three
pip install argparse
```
3. Create a Python script that reads in a directory of files in a specific format (e.g. OBJ) and converts them to JSON Object Scene format using the three.js module. Here is an example script:
```python
import os
import argparse
import three
def convert_file(file_path):
# Load the file using the three.js OBJLoader
loader = three.OBJLoader()
mesh = loader.load(file_path)
# Convert the mesh to a JSON Object Scene
json_data = three.exporters.OBJExporter().parse(mesh)
json_string = three.utils.stringify(json_data)
# Write the JSON data to a file
json_file_path = file_path.replace('.obj', '.json')
with open(json_file_path, 'w') as f:
f.write(json_string)
print('Converted {} to {}'.format(file_path, json_file_path))
def convert_files(directory):
for file_name in os.listdir(directory):
if file_name.endswith('.obj'):
file_path = os.path.join(directory, file_name)
convert_file(file_path)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Batch-convert OBJ files to JSON Object Scene format.')
parser.add_argument('directory', type=str, help='The directory containing the OBJ files.')
args = parser.parse_args()
convert_files(args.directory)
```
4. Run the script in the command line, passing in the directory containing your files as an argument. For example:
```
python convert.py /path/to/files
```
This will convert all OBJ files in the specified directory to JSON Object Scene format and save them in the same directory with a .json extension.
Note that this is just an example script, and you may need to modify it to fit your specific needs. Additionally, there are also dedicated software tools available that can batch-convert files to JSON Object Scene format, such as the Three.js Editor.