@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...
import sqlparse 接下来,你可以使用sqlparse.parse方法解析SQL查询语句,并使用sqlparse库中的相关方法提取where子句的JSON表示。下面是一个示例代码: 代码语言:txt 复制 import sqlparse query = "SELECT * FROM table WHERE column1 = 'value' AND column2 > 100" # 解析SQL查询语句 parsed = sqlparse....
/* firstly we process all strings. This is done because [{} and ] aren't escaped in strings, which complicates an iterative parse. */ WHILE 1 = 1 /* forever until there is nothing more to do */ BEGIN SET @start = PATINDEX('%[^a-zA-Z]["]%', @json collate SQL_Latin1_Gener...
@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 index of sub...
def parseColNameValueListJson(columnValueList: String) = { // 使用FastJSON将字符串解析为JSONArray val jSONArray = JSON.parseArray(columnValueList) // 创建一个可变的列表,用来添加列名列值对 val colNameValuePairList = scala.collection.mutable.ListBuffer[ColNameValuePair]() ...
Below is my one of JSON Column Name is "VARIALBLES" from the SQL Server table, {"EmbedContextParameters":null,"PipeData":{"First Name":"Rajkumar","Last Name":"Govindaraj","ID":"","FormType":"LeadArtist","ESubDept":"","Programme":"Kusama","ProjectCode":"AX-1234","Role...
1.首先先建立一个“通用的json解析自定义函数”。(这个代码是网络上找到的成熟代码) 直接粘贴代码 CREATE FUNCTION [dbo].[parseJSON] ( @JSON NVARCHAR(MAX) ) 。。。 这个自定义函数内容太多了,为了阅读方便,我贴在帖子尾部了。 END 1. 2. 3.
/* 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...
上述SQL把数组展开成多行数字,unnest( cast( json_parse(array_column) as array(bigint) ) ) as t(a),unnest语法把数组展开,以t来命名新生成的表,使用a来引用展开后的列。结果如下图: 统计数组中的每个元素的和 * | select sum(a) from log, unnest( cast( json_parse(array_column) as array(big...
基于Python-sqlparse的SQL表血缘追踪解析实现_fanstuck的博客-CSDN博客jxnuxwt.blog.csdn.net/article/details/127387722 ,大家可以看这篇文章,接下来是接着上篇内容补充一下该功能的完善,也就是实现SQL字段血缘的解析,这是做Hive血缘或者mysql必须完成的功能,当然实现起来也是比较麻烦的。这里主要讲一下思路和实现...