这一个读取数据文件批量写入数据库的python程序
时间: 2023-03-16 22:43:41 浏览: 86
我可以提供一些示例代码,以帮助你完成这个python程序:import mysql.connectormydb = mysql.connector.connect(
host="localhost",
user="yourusername",
passwd="yourpassword"
)mycursor = mydb.cursor()sql = "INSERT INTO customers (name, address) VALUES (%s, %s)"with open('customers.csv', 'r') as file:
reader = csv.reader(file)
next(reader)
for row in reader:
name = row[0]
address = row[1]
val = (name, address)
mycursor.execute(sql, val)mydb.commit()print(mycursor.rowcount, "记录插入到customers表中。")
相关问题
python编写一个API读取数据后写入clickhouse数据库的程序框架
可以使用 Python 的 requests 库来读取数据,使用 clickhouse-driver 库来连接和写入 ClickHouse 数据库。下面是一个简单的程序框架:
```python
import requests
from clickhouse_driver import Client
# 读取数据
response = requests.get('http://your-api-url')
data = response.json()
# 连接 ClickHouse 数据库
client = Client(host='your-clickhouse-host', port=8123, user='your-user', password='your-password', database='your-database')
# 写入数据
query = 'INSERT INTO your-table (column1, column2, ...) VALUES'
for row in data:
query += f" ('{row['column1']}', {row['column2']}, ...),"
query = query[:-1] # 去除最后一个逗号
client.execute(query)
```
需要根据实际情况修改 API 的 URL、ClickHouse 的连接信息、表名和列名等。同时,为了提高写入速度,可以考虑使用 ClickHouse 的批量写入功能。
从kafka批量读取数据并批量写入到impala数据库代码示例
以下是一个从 Kafka 批量读取数据并批量写入到 Impala 数据库的代码示例:
```python
from kafka import KafkaConsumer
from impala.dbapi import connect
from impala.util import as_pandas
# Kafka 配置
KAFKA_TOPIC = 'my_topic'
KAFKA_BOOTSTRAP_SERVERS = 'localhost:9092'
# Impala 配置
IMPALA_HOST = 'localhost'
IMPALA_PORT = 21050
IMPALA_DATABASE = 'my_database'
IMPALA_TABLE = 'my_table'
# 连接 Kafka
consumer = KafkaConsumer(KAFKA_TOPIC, bootstrap_servers=KAFKA_BOOTSTRAP_SERVERS)
# 连接 Impala
conn = connect(host=IMPALA_HOST, port=IMPALA_PORT, database=IMPALA_DATABASE)
cursor = conn.cursor()
# 批量读取数据并写入 Impala
batch_size = 1000
batch = []
for message in consumer:
value = message.value.decode('utf-8')
batch.append(value)
if len(batch) >= batch_size:
values = ','.join(batch)
query = f"INSERT INTO {IMPALA_TABLE} VALUES {values}"
cursor.execute(query)
batch = []
# 提交事务并关闭连接
conn.commit()
cursor.close()
conn.close()
```
注意:这只是一个示例代码,实际情况下需要根据具体的业务需求进行修改。