用sql解析一下以下josn: [{"supply_id":"c05debb4-55d5-4c46-85e9-b0ae4b40658d","is_enabled":true,"supply_code":3251,"supply_name":"乐颐食品（深圳）有限公司","before_cost_unit":390,"after_cost_unit":360,"diff_cost_unit":-30,"diff_cost_unit_percentage":-7.69,"before_gross_margin_percentage":21.69,"after_gross_margin_percentage":27.71,"diff_gross_margin_percentage":6.02},{"supply_id":"c7cb2c72-d608-46dc-9650-b31d922fc515","is_enabled":false,"supply_code":3690,"supply_name":"云南绿之恋农业科技有限公司","before_cost_unit":390,"after_cost_unit":360,"diff_cost_unit":-30,"diff_cost_unit_percentage":-7.69,"before_gross_margin_percentage":21.69,"after_gross_margin_percentage":27.71,"diff_gross_margin_percentage":6.02},{"supply_id":"7bcc9770-e28b-45af-96e1-dbd15c337658","is_enabled":true,"supply_code":4410,"supply_name":"广州绿之恋农业科技有限公司","before_cost_unit":390,"after_cost_unit":360,"diff_cost_unit":-30,"diff_cost_unit_percentage":-7.69,"before_gross_margin_percentage":21.69,"after_gross_margin_percentage":27.71,"diff_gross_margin_percentage":6.02},{"supply_id":"8625f2f8-f661-490a-9e55-4aa1cae5a8a6","is_enabled":true,"supply_code":1504,"supply_name":"深圳市正禾蔬菜有限公司","before_cost_unit":390,"after_cost_unit":360,"diff_cost_unit":-30,"diff_cost_unit_percentage":-7.69,"before_gross_margin_percentage":21.69,"after_gross_margin_percentage":27.71,"diff_gross_margin_percentage":6.02},{"supply_id":"49481833-e099-4eaf-9c9b-ddf4c63fbe63","is_enabled":true,"supply_code":1396,"supply_name":"福州优野生态农业有限公司（佳素）","before_cost_unit":390,"after_cost_unit":360,"diff_cost_unit":-30,"diff_cost_unit_percentage":-7.69,"before_gross_margin_percentage":21.69,"after_gross_margin_percentage":27.71,"diff_gross_margin_percentage":6.02},{"supply_id":"0d55599b-c6a6-4896-99e5-09f9379b5c8b","is_enabled":false,"supply_code":1205,"supply_name":"福州耕韵生态农业开发有限公司","before_cost_unit":390,"after_cost_unit":360,"diff_cost_unit":-30,"diff_cost_unit_percentage":-7.69,"before_gross_margin_percentage":21.69,"after_gross_margin_percentage":27.71,"diff_gross_margin_percentage":6.02},{"supply_id":"fa417a5a-d275-44bf-895b-d03aae5b932e","is_enabled":true,"supply_code":4171,"supply_name":"遂宁市旭塘农业有限公司","before_cost_unit":390,"after_cost_unit":360,"diff_cost_unit":-30,"diff_cost_unit_percentage":-7.69,"before_gross_margin_percentage":21.69,"after_gross_margin_percentage":27.71,"diff_gross_margin_percentage":6.02}]

要使用 SQL 解析该 JSON 数据，您可以使用 JSON 函数和操作符来提取所需的字段。以下是一个示例 SQL 查询，可以解析给定的 JSON 并选择供应商名称、供应商代码和成本单位差异：

SELECT 
    json_extract_scalar(json_data, '$.supply_name') AS supply_name,
    json_extract_scalar(json_data, '$.supply_code') AS supply_code,
    json_extract_scalar(json_data, '$.diff_cost_unit') AS diff_cost_unit
FROM 
    your_table,
    lateral flatten(input => parse_json(your_json_column)) -- 将 JSON 列解析为行
WHERE
    your_condition; -- 如果有其他条件，请在此处添加

请替换 `your_table` 和 `your_json_column` 为您的表名和包含 JSON 数据的列名。根据您的需求，您可以调整选择的字段和添加其他条件。

注意，在某些 SQL 数据库中，JSON 函数和操作符的语法和函数名称可能会有所不同。请根据您使用的数据库类型和版本进行调整。

相关问题

unity用LitJson读取josn文件一下内容{ "action": "next", "messages": [ { "id": "69a3b417-c2eb-cf77-ca60-a564d4ad74d1", "author": { "role": "user" }, "content": { "content_type": "text", "parts": [ "请用汤显祖的身份来回答，你好" ] } } ], "parent_message_id": "96771e47-761c-9da0-f582-e017741372bc", "model": "text-davinci-002-render-sha", "timezone_offset_min": -480 }

可以按照以下步骤进行读取：

1. 在 Unity 中，需要先将 LitJson 库添加到项目中，可以下载 LitJson 的 DLL 文件或者通过 NuGet 安装 LitJson。
2. 创建一个 JsonData 类型的变量来存储读取到的 JSON 数据。
3. 使用 File.ReadAllText() 方法读取 JSON 文件内容，并将其传递给 JsonMapper.ToObject() 方法将其解析为 JsonData 对象。
4. 根据 JSON 数据结构访问其中的字段和数组元素，获取所需的信息。

示例代码如下：

using System.IO;
using LitJson;

// ...

string filePath = "path/to/your/json/file.json";

// 读取 JSON 文件内容
string jsonContent = File.ReadAllText(filePath);

// 解析 JSON 数据
JsonData jsonData = JsonMapper.ToObject(jsonContent);

// 访问 JSON 数据中的字段和数组元素
string action = (string)jsonData["action"];
JsonData messages = jsonData["messages"];
string firstMessageId = (string)messages[0]["id"];
string firstMessageContent = (string)messages[0]["content"]["parts"][0];

在上述示例中，我们首先使用 File.ReadAllText() 方法读取 JSON 文件内容，并将其存储在字符串变量 jsonContent 中。然后，我们调用 JsonMapper.ToObject() 方法将 jsonContent 解析为 JsonData 对象，存储在 jsonData 变量中。

接着，我们可以使用索引器访问 jsonData 中的字段和数组元素。例如，我们可以使用 `(string)jsonData["action"]` 获取 action 字段的值，使用 `jsonData["messages"]` 获取 messages 数组的值，并使用 `(string)messages[0]["id"]` 获取 messages 数组的第一个元素的 id 字段的值。

最后，我们可以使用 `jsonData["content"]["parts"][0]` 访问 messages 数组的第一个元素的 content 字段的 parts 数组中的第一个元素的值，即 "请用汤显祖的身份来回答，你好"。

python爬虫中遇到requests payload 内容为{hdConditions: {,…}, others: {}, page: 1, rows: 20} hdConditions : {,…} hdPredicates : [{hdClauses: [{column: "planDte", value: "2023-06-07", operation: ">=", conjunction: "and"},…]}] 0 : {hdClauses: [{column: "planDte", value: "2023-06-07", operation: ">=", conjunction: "and"},…]} hdClauses : [{column: "planDte", value: "2023-06-07", operation: ">=", conjunction: "and"},…] 0 : {column: "planDte", value: "2023-06-07", operation: ">=", conjunction: "and"} column : "planDte" conjunction : "and" operation : ">=" value : "2023-06-07" 1 : {column: "planDte", value: "2023-06-10", operation: "<=", conjunction: "and"} column : "planDte" conjunction : "and" operation : "<=" value : "2023-06-10" 2 : {column: "checkId", value: "%", operation: "like", conjunction: "and"} column : "checkId" conjunction : "and" operation : "like" value : "%" others : {} page : 1 rows : 20 帮我转换成可识别的josn类型

可以使用Python中的json模块将payload转换成JSON格式。具体代码如下：

import json

payload = {
    "hdConditions": {
        "hdPredicates": [
            {
                "hdClauses": [
                    {
                        "column": "planDte",
                        "value": "2023-06-07",
                        "operation": ">=",
                        "conjunction": "and"
                    },
                    {
                        "column": "planDte",
                        "value": "2023-06-10",
                        "operation": "<=",
                        "conjunction": "and"
                    },
                    {
                        "column": "checkId",
                        "value": "%",
                        "operation": "like",
                        "conjunction": "and"
                    }
                ]
            }
        ]
    },
    "others": {},
    "page": 1,
    "rows": 20
}

payload_json = json.dumps(payload)
print(payload_json)

输出的结果为：

{"hdConditions": {"hdPredicates": [{"hdClauses": [{"column": "planDte", "value": "2023-06-07", "operation": ">=", "conjunction": "and"}, {"column": "planDte", "value": "2023-06-10", "operation": "<=", "conjunction": "and"}, {"column": "checkId", "value": "%", "operation": "like", "conjunction": "and"}]}]}, "others": {}, "page": 1, "rows": 20}