sqlparse是一个用于解析SQL语句的Python库,它可以将SQL语句解析为一个抽象语法树(AST),然后可以将AST转换为JSON格式。 下面是一个示例代码,演示如何使用sqlparse将SQL语句解析为JSON格式: 代码语言:txt 复制 import sqlparse import json def sql_to_json(sql): parsed = sqlparse.parse(sql) result = [] for...
sqlparse是一个Python库,用于解析和操作SQL语句。它可以帮助开发人员对SQL查询进行解析和处理。在本问题中,你想要使用sqlparse提取SQL查询语句中的where子句的JSON表示。 首先,你需要安装sqlparse库。可以通过以下命令使用pip进行安装: 代码语言:txt 复制 pip install sqlparse 安装完成后,你可以在Python脚本中导...
DECLARE @FirstObject INT , --the index of the first open bracket found in the JSON string @OpenDelimiter INT ,--the index of the next open bracket found in the JSON string @NextOpenDelimiter INT ,--the index of subsequent open bracket found in the JSON string @NextCloseDelimiter INT ,-...
The conventional way of dealing with data like this is to let a separate business layer parse a JSON 'document' into some tree structure and then update the database by making a series of calls to it. This is fine, but can get more complicated if you need to ensure that the updates t...
@type = 'array' SELECT @OpenDelimiter = @NextOpenDelimiter END ---and parse out the list or name/value pairs SELECT @contents = SUBSTRING(@json, @OpenDelimiter + 1, @NextCloseDelimiter - @OpenDelimiter - 1) SELECT @JSON = STUFF(@json, @OpenDelimiter, @NextCloseDelimiter - @OpenDelimit...
下面是`json_parse`函数的语法: ```sql json_parse(json_string, [schema]) ``` 其中,`json_string`是要解析的JSON字符串,`schema`是可选的,用于指定解析后的数据结构。 下面是一个示例,演示如何使用`json_parse`函数: ```sql SELECT json_parse('{"name": "John", "age": 30}', 'name STRING,...
/* firstly we process all strings. This is done because [{} and ] aren't escaped in strings, which complicates an iterative parse. */ @parent_ID=0; WHILE 1=1 --forever until there is nothing more to do BEGIN SELECT @start=PATINDEX('%[^a-zA-Z]["]%', @json collate SQL_Latin...
the way. Names are always strings in JSON as well as string values. Then, the routine iteratively finds the next structure that has no structure Contained within it, (and is, by definition the leaf structure), and parses it, replacing it with an object token of the form ‘@Objectxxx‘...
IF SUBSTRING(@json, @NextOpenDelimiter, 1)='{'SELECT @NextCloseDelimiterChar='}', @type='object'ELSESELECT @NextCloseDelimiterChar=']', @type='array'SELECT @OpenDelimiter=@NextOpenDelimiterEND---and parse out the list or name/value pairsSELECT@contents=SUBSTRING(@json, @OpenDelimiter+1,@...
上述範例中的查詢會在結果集另外的資料列中,將每個 JSON 文件以單一字串的形式傳回。 您可以使用 JSON_VALUE 和 OPENJSON 函式來剖析 JSON 文件中的值,並將其傳回為關聯值,如下列範例所示:PARSE JSON DOCUMENTS展開資料表 date_rep案例geo_id 2020-07-24 3 AF 2020-07-...