1.使用npm install xlsx 2.并在文件中引入 import XLSX from 'xlsx'; 可复制的代码如下: // 错误信息下载 exportEx = val => { let JSONData = val; let ShowLabel = ['序号', 'imei', '错误原因']; //先转化json let arrData = typeof JSONData != 'ob
Declare @JSON varchar(max) SELECT @JSON=BulkColumn FROM OPENROWSET (BULK 'C:\Desktop\pythontest2\datafile22Copy.JSON', SINGLE_CLOB) as import INSERT INTO [yourtable] ([Products], [Line of Business], [Geo subMarket], [Transport Type], [Contract Type], [Entity MR Total Actuals]) SELECT ...
JSON functions, first introduced in SQL Server 2016 (13.x), enable you to combine NoSQL and relational concepts in the same database. You can combine classic relational columns with columns that contain documents formatted as JSON text in the same table, parse and import JSON documents in rel...
以下是 OPENROWSET(BULK) 函式範例,可讀取 JSON 檔案內容,並將它以單一值形式傳回給使用者: SQL 複製 SELECT BulkColumn FROM OPENROWSET(BULK 'C:\JSON\Books\book.json', SINGLE_CLOB) as j; OPENJSON(BULK) 會讀取檔案的內容,並將它傳回至 BulkColumn。 您也可以將檔案內容載入區域變數或資料表中,如...
JSON functions, first introduced in SQL Server 2016 (13.x), enable you to combine NoSQL and relational concepts in the same database. You can combine classic relational columns with columns that contain documents formatted as JSON text in the same table, parse and import JSON documents in rel...
"table": "./dbgpt_hub/data/eval_data/tables.json", "table_natsql": "./dbgpt_hub/data/eval_data/tables_for_natsql2sql.json", "etype": "exec", "plug_value": True, "keep_distict": False, "progress_bar_for_each_datapoint": False, "natsql": False, } #执行整个Fine-tune流程 ...
values = values; return this; } @Override public String toString() { return JSONObject.toJSONString(this); } } Copyimport com.alibaba.fastjson2.JSONObject; import com.alibaba.fastjson2.JSONWriter; import com.c3stones.json.enums.Relation; import lombok.Data; import lombok.NoArgsConstructor; ...
除了上述3种方式,MaxCompute也提供了UDF的方式来生成JSON,我就是采用这种方式生成的,因为我要多行转一列,然后这一列的数据格式为JSON。 -- 1.建表 DROP TABLE IF EXISTS student_score ; CREATE TABLE IF NOT EXISTS student_score ( id BIGINT COMMENT 'id,逻辑主键' ...
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.parse...
const{Parser}=require('sql-ddl-to-json-schema');// or:import{Parser}from'sql-ddl-to-json-schema';constparser=newParser('mysql');constsql=`CREATE TABLE users (id INT(11) NOT NULL AUTO_INCREMENT,nickname VARCHAR(255) NOT NULL,deleted_at TIMESTAMP NULL,created_at TIMESTAMP DEFAULT CURRENT...