批量ctr导入镜像的_脚本
时间: 2024-10-10 08:15:34 浏览: 29
批量导入CTR(点击率)数据到镜像通常涉及到数据处理、格式转换以及与特定数据库或分析工具(如Hadoop、Spark或大数据仓库)集成的过程。以下是一个简化的Python脚本示例,用于从CSV文件中读取CTR数据并导入到Docker容器内的MySQL数据库:
```python
# 导入必要的库
import csv
import pymysql
import docker
# 定义配置变量
csv_file = 'ctr_data.csv'
container_name = 'your_container_name'
mysql_host = 'db_container_ip_or_hostname'
mysql_user = 'your_username'
mysql_password = 'your_password'
# 连接数据库
client = docker.from_env()
container = client.containers.get(container_name)
# 确保连接成功
if container.status != 'running':
print("Container is not running, please start it first.")
else:
# 读取CSV文件
with open(csv_file, newline='') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
# 按照需要的格式填充SQL插入语句
insert_query = f"INSERT INTO your_table (feature1, feature2, ctr) VALUES ('{row['feature1']}', '{row['feature2']}', {row['ctr']});"
# 执行SQL查询
try:
with container.exec_run(cmd=f"/bin/bash -p{mysql_password} -e '{insert_query}'\"") as exec_result:
if exec_result.exit_code != 0:
print(f"Error executing query: {exec_result.stderr.decode()}")
else:
print(f"Inserted data: {insert_query}")
except Exception as e:
print(f"Error: {str(e)}")
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