python连接clickhouse数据库的两种方式小结 python连接clickhouse数据库的两种

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 Clientfrom datetime import datetimeimport psutilhost_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 2021create_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 datetimeimport psutilfrom clickhouse_driver import connecthost_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 2021create_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 ClickHouseclient = 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.table1WHERE 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)

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