importsqlite3# 自定义聚合函数defcustom_concat(values):return', '.join(values)# 连接 SQLite 数据库conn = sqlite3.connect(':memory:') conn.create_aggregate("custom_concat",1, custom_concat)# 示例查询conn.execute(''' CREATE TABLE users ( id INTEGER PRIMARY KEY, name TEXT ); INSERT INTO us...
ready.wait()try:print("===start sqlite connection===")withtransaction()as(trans, cursor):print("starting to write") ready.wait() cursor.execute(""" insert into operation_log(ip,user_id,path,params,info,cost_time) values(?,?,?,?,?,?) """, (ip, user_id, path, params, info, ...
insert into role VALUES(1,1,'管理员',1); insert into role VALUES(2,1,'编辑',2); insert into role VALUES(3,1,'超级管理员',3); insert into role VALUES(4,2,'普通会员',4); insert into role VALUES(5,3,'高级会员',5); 1. 2. 3. 4. 5. 例子: select userId,group_concat(role...
import sqlite3# 创建数据库连接conn = sqlite3.connect('test.db')# 创建游标对象cursor = conn.cursor()# 创建数据表cursor.execute('CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)')# 插入数据cursor.execute('INSERT INTO users (name, age) VALUES (?, ?)',...
Inner join sys.dm_db_missing_index_groups as mig on mig.index_handle=mid.index_handle Order by mig.index_group_handle,mig.index_handle,column_id 1. 2. 3. 4. 5. ---在建立索引之后,再次执行以上语句。 接下来通过sys_dm_db_index_usage_stats可观察是否生成了过多的索引。
join(Orders:o,SellerId ; Employees:e,EId) 数据持久化 SQLite通过直接处理库表来实现数据持久化,分为增、改、删三种: insert into Orders values(201,'DSL',10,2000.0,'2019-01-01')update Orders set Client='IBM' where orderID=201delete from Orders where orderID=201 ...
sqlite> CREATE TABLE stu(id int); sqlite> INSERT INTO stu VALUES(1); sqlite> SELECT * FROM stu; 列出所有打开的数据库 相当于mysql的show databases命令 代码语言:javascript 代码运行次数:0 运行 AI代码解释 sqlite> .databases 列出所有表 相当于mysql的show tables命令 代码语言:javascript 代码运行次数:...
("INSERT INTO user VALUES {}", without_area_params);let mut stmt_with_area = tx.prepare_cached(st1.as_str()).unwrap();let mut stmt = tx.prepare_cached(st2.as_str()).unwrap();for _ in 0..(count / min_batch_size) {let with_area = common::get_random_bool();let age = ...
withrecursive tmp(id, name, level) as (selectid, name, 1aslevelfrom areawhere parent_id isnullunionallselect area.id, tmp.name || ', ' || area.name asname, tmp.level + 1aslevelfrom areajoin tmp on area.parent_id = tmp.id)select * from tmp;┌──────┬────...
join(T("d:/Orders.btx"):o,SellerId; T("d:/Emp.csv"):e,EId).groups(e.Dept;sum(o.Amont)) 外部数据源之间也可以方便地进行跨源计算。比如 csv 和 RESTful 左关联: join@1(json(httpfile("http://127.0.0.1:6868/api/orders").read):o,SellerId; T("d:/Emp.csv"):e,EId) ...