561 lines
18 KiB
Plaintext
561 lines
18 KiB
Plaintext
{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "BI创建表",
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"id": "9a93686f364e491f"
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},
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2025-08-20T09:06:39.520648Z",
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"start_time": "2025-08-20T09:06:39.167174Z"
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}
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},
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"source": [
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"import pandas as pd\n",
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"import mysql.connector\n",
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"from mysql.connector import Error\n",
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"\n",
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"\n",
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"def create_table(cursor, table_name):\n",
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" \"\"\"创建数据表\"\"\"\n",
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" create_table_query = f\"\"\"\n",
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" CREATE TABLE IF NOT EXISTS {table_name} (\n",
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" `选择合伙人` VARCHAR(255) COMMENT '选择合伙人',\n",
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" `合伙人姓名` VARCHAR(255) COMMENT '合伙人姓名',\n",
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" `手机号` VARCHAR(255) COMMENT '手机号',\n",
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" `合伙人身份` VARCHAR(255) COMMENT '合伙人身份',\n",
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" `合伙人所在省市` VARCHAR(255) COMMENT '合伙人所在省市',\n",
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" `合伙人登记人` VARCHAR(255) COMMENT '合伙人登记人',\n",
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" `战区经理` VARCHAR(255) COMMENT '战区经理',\n",
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" `提交人` VARCHAR(255) COMMENT '提交人',\n",
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" `合伙人分类` VARCHAR(255) COMMENT '合伙人分类',\n",
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" `战区` VARCHAR(255) COMMENT '战区',\n",
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" `订单编号` VARCHAR(255) COMMENT '订单登记表.订单编号',\n",
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" `销售阶段` VARCHAR(255) COMMENT '订单登记表.销售阶段',\n",
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" `版本` VARCHAR(255) COMMENT '订单登记表.版本',\n",
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" `年限` VARCHAR(255) COMMENT '订单登记表.年限',\n",
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" `成交金额` VARCHAR(255) COMMENT '订单登记表.成交金额',\n",
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" `佣金` VARCHAR(255) COMMENT '订单登记表.佣金',\n",
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" `理论佣金` VARCHAR(255) COMMENT '订单登记表.理论佣金',\n",
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" `佣金比例` VARCHAR(255) COMMENT '订单登记表.佣金比例',\n",
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" `合计佣金` VARCHAR(255) COMMENT '合计佣金',\n",
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" `理论合计佣金` VARCHAR(255) COMMENT '理论合计佣金',\n",
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" `特殊情况备注` VARCHAR(255) COMMENT '特殊情况备注',\n",
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" `合伙人介绍证明` VARCHAR(255) COMMENT '合伙人介绍证明（微信聊天截图等）',\n",
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" `合伙人类型` VARCHAR(255) COMMENT '合伙人类型'\n",
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" ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 ;\n",
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" \"\"\"\n",
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" cursor.execute(create_table_query)\n",
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" print(f\"成功创建表 {table_name}\")\n",
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"\n",
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"\n",
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"# 数据库连接信息\n",
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"HS_DB_Config = {\n",
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" 'host': \"f6-public.rwlb.rds.aliyuncs.com\",\n",
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" 'user': \"rw_operation_data_relay\",\n",
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" 'password': \"m+q5Z4%IVuF9bf\",\n",
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" 'database': \"f6operation_data_relay\"\n",
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"} # 衡时数据库链接配置-mysql\n",
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"\n",
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"# 表名\n",
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"table_name = \"partner_settlement_to_BI\" # 请替换为实际的表名\n",
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"\n",
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"# 连接数据库\n",
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"connection = mysql.connector.connect(\n",
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" host=HS_DB_Config[\"host\"],\n",
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" user=HS_DB_Config[\"user\"],\n",
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" password=HS_DB_Config[\"password\"],\n",
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" database=HS_DB_Config[\"database\"]\n",
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")\n",
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"\n",
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"cursor = connection.cursor()\n",
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"\n",
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"# 创建表\n",
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"create_table(cursor, table_name)\n",
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"\n",
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"# 关闭连接\n",
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"cursor.close()\n",
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"connection.close()"
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],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"成功创建表 partner_settlement_to_BI\n"
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]
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}
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],
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"execution_count": 2
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "### 向BI中写入数据",
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"id": "b2b6cd2fb31c305e"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-08-05T02:24:00.182030Z",
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"start_time": "2025-08-05T02:23:57.092710Z"
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}
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},
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"cell_type": "code",
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"source": [
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"import pandas as pd\n",
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"import mysql.connector\n",
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"from mysql.connector import Error\n",
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"\n",
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"# 连接信息\n",
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"HS_DB_Config = {\n",
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" 'host': \"f6-public.rwlb.rds.aliyuncs.com\",\n",
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" 'user': \"rw_operation_data_relay\",\n",
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" 'password': \"m+q5Z4%IVuF9bf\",\n",
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" 'database': \"f6operation_data_relay\"\n",
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"} # 衡时数据库链接配置-mysql\n",
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"table_name = \"thailand_store_data_email\" # 请替换为实际的表名\n",
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"# table_name = \"yida_process_time_statistics\"\n",
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"# 连接\n",
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"connection = mysql.connector.connect(\n",
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" host=HS_DB_Config[\"host\"],\n",
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" user=HS_DB_Config[\"user\"],\n",
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" password=HS_DB_Config[\"password\"],\n",
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" database=HS_DB_Config[\"database\"]\n",
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")\n",
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"\n",
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"print(f\"成功连接 {HS_DB_Config[\"database\"]}\")\n",
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"cursor = connection.cursor()\n",
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"\n",
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"# 读取Excel文件\n",
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"df = pd.read_excel(\n",
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" r\"C:\\Users\\Administrator.DESKTOP-7IC2USJ\\Downloads\\门店日使用数据Workshop’s_Daily_Usage_Data_20250805101517.xlsx\",\n",
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" sheet_name=\"Sheet1\")\n",
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"\n",
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"# 处理空值 - 将NaN/NaT/空字符串统一转为None\n",
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"df = df.map(lambda x: None if pd.isna(x) or str(x).strip() == '' else x)\n",
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"\n",
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"# 生成插入语句\n",
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"columns = ', '.join(df.columns)\n",
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"placeholders = ', '.join(['%s'] * len(df.columns))\n",
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"insert_query = f\"INSERT INTO {table_name} ({columns}) VALUES ({placeholders})\"\n",
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"\n",
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"# 批量插入数据\n",
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"records = [tuple(row) for row in df.values]\n",
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"cursor.executemany(insert_query, records)\n",
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"connection.commit()\n",
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"\n",
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"print(f\"成功导入 {cursor.rowcount} 条记录到 {table_name} 表\")\n",
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"\n",
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"cursor.close()\n",
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"\n",
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"connection.close()\n"
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],
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"id": "a98f8dd324b53eeb",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"成功连接 f6operation_data_relay\n",
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"成功导入 7250 条记录到 thailand_store_data_email 表\n"
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]
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}
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],
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"execution_count": 1
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "### 清空BI数据表",
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"id": "92964c5c1b836d72"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-06-10T07:02:11.293374Z",
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"start_time": "2025-06-10T07:02:10.565566Z"
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}
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},
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"cell_type": "code",
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"source": [
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"import pandas as pd\n",
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"import mysql.connector\n",
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"from mysql.connector import Error\n",
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"\n",
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"# 数据库连接信息\n",
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"host = \"rm-uf6r230vbtxf5gdz63o.mysql.rds.aliyuncs.com\"\n",
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"user = \"rw_operation_data_relay\"\n",
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"password = \"m+q5Z4%IVuF9bf\"\n",
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"database = \"f6operation_data_relay\"\n",
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"table_name = \"yida_process_time_statistics\" # 要清空的表名\n",
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"# table_name = \"thailand_store_data_email\" # 要清空的表名\n",
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"\n",
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"# 连接数据库\n",
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"try:\n",
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" connection = mysql.connector.connect(\n",
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" host=host,\n",
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" user=user,\n",
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" password=password,\n",
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" database=database\n",
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" )\n",
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"\n",
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" if connection.is_connected():\n",
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" cursor = connection.cursor()\n",
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"\n",
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" # 使用TRUNCATE清空表数据\n",
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" cursor.execute(f\"TRUNCATE TABLE {table_name}\")\n",
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" connection.commit()\n",
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"\n",
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" print(f\"成功清空表 {table_name} 中的所有数据\")\n",
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"\n",
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"except Error as e:\n",
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" print(f\"清空表时发生错误: {e}\")\n",
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" if connection.is_connected():\n",
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" connection.rollback()\n",
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"\n",
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"if connection.is_connected():\n",
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" cursor.close()\n",
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" connection.close()\n",
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" print(\"数据库连接已关闭\")\n",
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"\n",
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"\n"
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],
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"id": "406f1e2ca21ad9a",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"成功清空表 yida_process_time_statistics 中的所有数据\n",
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"数据库连接已关闭\n"
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]
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}
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],
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"execution_count": 2
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "### 更新数据表结构",
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"id": "432238219a78f927"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-08-20T08:07:48.856164Z",
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"start_time": "2025-08-20T08:07:48.650261Z"
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}
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},
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"cell_type": "code",
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"source": [
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"import mysql.connector\n",
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"from mysql.connector import Error\n",
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"\n",
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"HS_DB_Config = {\n",
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" 'host': \"f6-public.rwlb.rds.aliyuncs.com\",\n",
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" 'user': \"rw_operation_data_relay\",\n",
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" 'password': \"m+q5Z4%IVuF9bf\",\n",
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" 'database': \"f6operation_data_relay\"\n",
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"} # 衡时数据库链接配置-mysql\n",
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"# table_name = \"new_dealer_service_order_to_bi\" # 替换为你的实际表名\n",
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"\n",
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"table_name = \"non_standard_performance_to_BI\"\n",
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"column_name = \"开户/处理日期\"\n",
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"# new_column_type = \"VARCHAR(255)\" # 目标数据类型\n",
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"new_column_type = \"DATETIME\" # 目标数据类型\n",
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"\n",
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"try:\n",
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" # 连接数据库\n",
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" # 建立数据库连接\n",
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" connection = mysql.connector.connect(\n",
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" host=HS_DB_Config[\"host\"],\n",
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" user=HS_DB_Config[\"user\"],\n",
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" password=HS_DB_Config[\"password\"],\n",
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" database=HS_DB_Config[\"database\"]\n",
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" )\n",
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" cursor = connection.cursor()\n",
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"\n",
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" # 检查字段是否存在及当前数据类型\n",
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" cursor.execute(f\"\"\"\n",
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" SELECT DATA_TYPE \n",
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" FROM INFORMATION_SCHEMA.COLUMNS \n",
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" WHERE TABLE_SCHEMA = DATABASE() \n",
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" AND TABLE_NAME = '{table_name}' \n",
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" AND COLUMN_NAME = '{column_name}';\n",
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" \"\"\")\n",
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"\n",
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" column_info = cursor.fetchone()\n",
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"\n",
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" if not column_info:\n",
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" # 字段不存在时添加\n",
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" alter_query = f\"ALTER TABLE `{table_name}` ADD COLUMN `{column_name}` {new_column_type};\"\n",
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" cursor.execute(alter_query)\n",
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" print(f\"✅ 成功添加字段: `{column_name}`\")\n",
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" else:\n",
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" current_type = column_info[0]\n",
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" # 比较当前类型与目标类型（忽略括号内的长度）\n",
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" if current_type.upper() != new_column_type.split('(')[0].upper():\n",
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" # 修改数据类型\n",
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" alter_query = f\"ALTER TABLE `{table_name}` MODIFY COLUMN `{column_name}` {new_column_type};\"\n",
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" cursor.execute(alter_query)\n",
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" print(f\"✅ 成功将字段 `{column_name}` 从 {current_type} 修改为 {new_column_type}\")\n",
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" else:\n",
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" print(f\"ℹ️ 字段 `{column_name}` 已经是 {new_column_type} 类型，无需修改\")\n",
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"\n",
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" connection.commit()\n",
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"\n",
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"except Error as e:\n",
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" print(f\"❌ 操作失败：{e}\")\n",
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" if connection.is_connected():\n",
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" connection.rollback()\n",
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"\n",
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"finally:\n",
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" if connection.is_connected():\n",
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" cursor.close()\n",
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" connection.close()\n",
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" print(\"数据库连接已关闭\")"
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],
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"id": "e322e4b26a013cdd",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"❌ 操作失败：1146 (42S02): Table 'f6operation_data_relay.non_standard_performance_to_bi' doesn't exist\n",
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"数据库连接已关闭\n"
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]
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}
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],
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"execution_count": 4
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "### 清空部分数据\n",
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"id": "f0ad64203d788c79"
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},
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||
{
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||
"metadata": {
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||
"ExecuteTime": {
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||
"end_time": "2025-06-11T01:39:55.579785Z",
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||
"start_time": "2025-06-11T01:39:55.295469Z"
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}
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},
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"cell_type": "code",
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"source": [
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"import pandas as pd\n",
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"import mysql.connector\n",
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"from mysql.connector import Error\n",
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"\n",
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"# 数据库连接信息\n",
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"host = \"rm-uf6r230vbtxf5gdz63o.mysql.rds.aliyuncs.com\"\n",
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"user = \"rw_operation_data_relay\"\n",
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"password = \"m+q5Z4%IVuF9bf\"\n",
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"database = \"f6operation_data_relay\"\n",
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"table_name = \"yida_process_time_statistics\" # 要操作的表名\n",
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"# table_name = \"thailand_store_data_email\" # 要操作的表名\n",
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"min_id_to_delete = 127821 # 要删除的最小ID值\n",
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"\n",
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"# 连接数据库\n",
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"try:\n",
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" connection = mysql.connector.connect(\n",
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" host=host,\n",
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" user=user,\n",
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" password=password,\n",
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" database=database\n",
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" )\n",
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"\n",
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" if connection.is_connected():\n",
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" cursor = connection.cursor()\n",
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"\n",
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" # 使用DELETE删除ID大于等于127821的数据\n",
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" cursor.execute(f\"DELETE FROM {table_name} WHERE id >= {min_id_to_delete}\")\n",
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"\n",
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" connection.commit()\n",
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" print(f\"成功删除表 {table_name} 中ID大于等于{min_id_to_delete}的所有数据\")\n",
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"\n",
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"except Error as e:\n",
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" print(f\"删除数据时发生错误: {e}\")\n",
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" if connection.is_connected():\n",
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" connection.rollback()\n",
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"\n",
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"if connection.is_connected():\n",
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" cursor.close()\n",
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" connection.close()\n",
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" print(\"数据库连接已关闭\")"
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],
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"id": "3df14d022c9d8046",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"成功删除表 yida_process_time_statistics 中ID大于等于127821的所有数据\n",
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"数据库连接已关闭\n"
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]
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}
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],
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"execution_count": 3
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},
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": "## 删除区间数据",
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"id": "8192d432b3f65bc2"
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},
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{
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"metadata": {},
|
||
"cell_type": "code",
|
||
"outputs": [],
|
||
"execution_count": null,
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import mysql.connector\n",
|
||
"from mysql.connector import Error\n",
|
||
"\n",
|
||
"# 数据库连接信息\n",
|
||
"# host = \"rm-uf6r230vbtxf5gdz63o.mysql.rds.aliyuncs.com\"\n",
|
||
"# user = \"rw_operation_data_relay\"\n",
|
||
"# password = \"m+q5Z4%IVuF9bf\"\n",
|
||
"# database = \"f6operation_data_relay\"\n",
|
||
"# BI数据库链接配置-mysql\n",
|
||
"host = \"f6-public.rwlb.rds.aliyuncs.com\"\n",
|
||
"database = \"f6operation_data_relay\"\n",
|
||
"user = \"rw_operation_data_relay\"\n",
|
||
"password = \"m+q5Z4%IVuF9bf\"\n",
|
||
"table_name = \"thailand_store_data_email\" # 要操作的表名\n",
|
||
"# table_name = \"thailand_store_data_email\" # 要操作的表名\n",
|
||
"start_id = 104864 # 要删除的区间起始ID\n",
|
||
"end_id = 106995 # 要删除的区间结束ID\n",
|
||
"\n",
|
||
"# 连接数据库\n",
|
||
"try:\n",
|
||
" connection = mysql.connector.connect(\n",
|
||
" host=host,\n",
|
||
" user=user,\n",
|
||
" password=password,\n",
|
||
" database=database\n",
|
||
" )\n",
|
||
"\n",
|
||
" if connection.is_connected():\n",
|
||
" cursor = connection.cursor()\n",
|
||
"\n",
|
||
" # 使用DELETE删除ID在指定区间内的数据\n",
|
||
" delete_query = f\"DELETE FROM {table_name} WHERE id BETWEEN {start_id} AND {end_id}\"\n",
|
||
" cursor.execute(delete_query)\n",
|
||
"\n",
|
||
" connection.commit()\n",
|
||
" print(f\"成功删除表 {table_name} 中ID在{start_id}到{end_id}之间的所有数据\")\n",
|
||
"\n",
|
||
"except Error as e:\n",
|
||
" print(f\"删除数据时发生错误: {e}\")\n",
|
||
" if connection.is_connected():\n",
|
||
" connection.rollback()\n",
|
||
"\n",
|
||
"if connection.is_connected():\n",
|
||
" cursor.close()\n",
|
||
" connection.close()\n",
|
||
" print(\"数据库连接已关闭\")"
|
||
],
|
||
"id": "fe36740aa6724433"
|
||
},
|
||
{
|
||
"metadata": {},
|
||
"cell_type": "markdown",
|
||
"source": "## BI删表\n",
|
||
"id": "76b76aed2ce2a77f"
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-08-21T02:06:22.956060Z",
|
||
"start_time": "2025-08-21T02:06:22.797879Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"import mysql.connector\n",
|
||
"from mysql.connector import Error\n",
|
||
"\n",
|
||
"\n",
|
||
"def drop_table(cursor, table_name):\n",
|
||
" \"\"\"删除数据表\"\"\"\n",
|
||
" drop_table_query = f\"DROP TABLE IF EXISTS {table_name};\"\n",
|
||
" cursor.execute(drop_table_query)\n",
|
||
" print(f\"成功删除表 {table_name}\")\n",
|
||
"\n",
|
||
"\n",
|
||
"# 数据库连接信息\n",
|
||
"HS_DB_Config = {\n",
|
||
" 'host': \"f6-public.rwlb.rds.aliyuncs.com\",\n",
|
||
" 'user': \"rw_operation_data_relay\",\n",
|
||
" 'password': \"m+q5Z4%IVuF9bf\",\n",
|
||
" 'database': \"f6operation_data_relay\"\n",
|
||
"} # 衡时数据库链接配置-mysql\n",
|
||
"\n",
|
||
"# 表名\n",
|
||
"table_name = \"test\" # 请替换为实际的表名\n",
|
||
"\n",
|
||
"# 连接数据库\n",
|
||
"connection = mysql.connector.connect(\n",
|
||
" host=HS_DB_Config[\"host\"],\n",
|
||
" user=HS_DB_Config[\"user\"],\n",
|
||
" password=HS_DB_Config[\"password\"],\n",
|
||
" database=HS_DB_Config[\"database\"]\n",
|
||
")\n",
|
||
"\n",
|
||
"cursor = connection.cursor()\n",
|
||
"\n",
|
||
"# 删除表\n",
|
||
"drop_table(cursor, table_name)\n",
|
||
"\n",
|
||
"# 提交更改\n",
|
||
"connection.commit()\n",
|
||
"\n",
|
||
"# 关闭连接\n",
|
||
"cursor.close()\n",
|
||
"connection.close()"
|
||
],
|
||
"id": "daf2c94f811fbcdd",
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"成功删除表 test\n"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 2
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 2
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython2",
|
||
"version": "2.7.6"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|