python连接clickhouse数据库的两种方式小结
来源:脚本之家    时间:2022-05-17 09:51:38
目录
python连接clickhouse数据库主要针对clickhouse_driver的使用进行简要介绍python将数据写入clickhouse

python连接clickhouse数据库

在Python中获取系统信息的一个好办法是使用psutil这个第三方模块。

顾名思义,psutil = process and system utilities,它不仅可以通过一两行代码实现系统监控,还可以跨平台使用。

主要针对clickhouse_driver的使用进行简要介绍

第一步:

通过pip install clickhouse_driver 安装 clickhouse_driver

第二步:

方法一:使用clickhouse_driver 包中的Client类,通过实例化一个客户端进行对数据库的增删改查操作
from clickhouse_driver import Client
from datetime import datetime
import psutil
host_name = "192.168.50.94"
client = Client(host=host_name,database="default",user="default",password="自己设的密码",send_receive_timeout=20,port=55666)
now = datetime.now()
time_stamp = now.strftime("%a %b %d %H:%M:%S CST %Y")# Tue Apr 06 15:32:55 CST 2021  
create_at = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
disk_io = psutil.disk_io_counters()
net_io = psutil.net_io_counters()
chart_name = ["磁盘IO","网络IO"]
metric_name1 = ["读(数量)","写(数量)", "读(字节)", "写(字节)", "读(时间)", "写(时间)"]
metric_name2 = ["发送字节数","接收字节数","发送包数","接收包"]
metric_value1 = [disk_io.read_count,disk_io.write_count,disk_io.read_bytes,disk_io.write_bytes,disk_io.read_time,disk_io.write_time]
metric_value2 = [net_io.bytes_sent,net_io.bytes_recv,net_io.packets_sent,net_io.packets_recv]
try:
    for i in chart_name:
        if i is "磁盘IO":
            for j in metric_name1:
                sql = "insert into clickhouse_host_metrics777(time_stamp,host_name, chart_name, metric_name,metric_value,create_at) " \
                      "values("%s","%s","%s","%s","%s","%s")" % \
                         (time_stamp, host_name, i, j, metric_value1[metric_name1.index(j)], create_at)
                res = client.execute(sql)
        elif i is "网络IO":
            for j in metric_name2:
                sql = "insert into clickhouse_host_metrics777(time_stamp,host_name, chart_name, metric_name,metric_value,create_at) " \
                      "values("%s","%s","%s","%s","%s","%s")" % \
                      (time_stamp, host_name, i, j, metric_value2[metric_name2.index(j)], create_at)
                res = client.execute(sql)
    print("成功写入数据")
except Exception as e:
    print(str(e))
方法二:使用clickhouse_driver 包中的connect函数,通过实例化一个客户端进行对数据库的增删改查操作
from datetime import datetime
import psutil
from clickhouse_driver import connect
host_name = "192.168.50.94"
#账号:密码@主机名:端口号/数据库
conn = connect("clickhouse://default:自己设的密码@"+host_name+":55666/default")
cursor = conn.cursor()
now = datetime.now()
time_stamp = now.strftime("%a %b %d %H:%M:%S CST %Y")# Tue Apr 06 15:32:55 CST 2021  
create_at = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
disk_io = psutil.disk_io_counters()
net_io = psutil.net_io_counters()
chart_name = ["磁盘IO","网络IO"]
metric_name1 = ["读(数量)","写(数量)", "读(字节)", "写(字节)", "读(时间)", "写(时间)"]
metric_name2 = ["发送字节数","接收字节数","发送包数","接收包"]
metric_value1 = [disk_io.read_count,disk_io.write_count,disk_io.read_bytes,disk_io.write_bytes,disk_io.read_time,disk_io.write_time]
metric_value2 = [net_io.bytes_sent,net_io.bytes_recv,net_io.packets_sent,net_io.packets_recv]
try:
    for i in chart_name:
        if i is "磁盘IO":
            for j in metric_name1:
                sql = "insert into clickhouse_host_metrics777(time_stamp,host_name, chart_name, metric_name,metric_value,create_at) values("%s","%s","%s","%s","%s","%s")" % \
                         (time_stamp, host_name, i, j, metric_value1[metric_name1.index(j)], create_at)
                # res = client.execute(sql)
                res = cursor.execute(sql)
        elif i is "网络IO":
            for j in metric_name2:
                sql = "insert into clickhouse_host_metrics777(time_stamp,host_name, chart_name, metric_name,metric_value,create_at) values("%s","%s","%s","%s","%s","%s")" % \
                      (time_stamp, host_name, i, j, metric_value2[metric_name2.index(j)], create_at)
                res = cursor.execute(sql)
    cursor.close()
    print("成功写入数据")
except Exception as e:
    print(str(e))

python将数据写入clickhouse

from clickhouse_driver import Client 
 
# connect ClickHouse
client = Client(host= ,port= ,user= ,database= , password=)
 
 
# 得到table1中查询的数据导入table2中(database2中应该事先建立对应的table2表)
query_ck_sql = """ SELECT *
    FROM database1.table1
    WHERE date = today() """
# 导入数据到临时表
try:
    # 导入数据
    client.execute("insert into {official_table_db}.{official_all_table_name}  \
        {query_ck_sql}".format(
            official_table_db = database2, 
            official_table_name = table2, 
            query_ck_sql = query_ck_sql) 
        ,types_check = True)
except Exception as e:
    print str(e)

以上为个人经验,希望能给大家一个参考,也希望大家多多支持脚本之家。

关键词: 写入数据 导入数据 顾名思义 希望大家 系统信息

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