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国产数据库oceanBbase,达梦,金仓与mysql数据库的性能对比 七、python读oceanBase数据库

时间:2024-11-20 13:07:43浏览次数:1  
标签:oceanBbase 金仓 数据库 游标 pymysql cursor1 time execution

#coding=utf-8
import pymysql
import time
#测试单表插入性能

try:
    start_time = time.time()  # 记录开始时间
    connection1 = pymysql.connect(host='192.168.0.98', user='user', password='passwd', database='oceanBasedb', port=2883)

    # 操作数据库
    cursor1 = connection1.cursor()  # 创建一个游标

    # 查询手机信息
    sql = " select   *  from DB_TEST_T"

    # 执行SQL查询(假设你已经建立了数据库连接和游标)
    cursor1.execute(sql)
    # 获取查询结果
    rows = cursor1.fetchall()
    i = 0
    for row in rows:
        ID = row[0]


    end_time = time.time()  # 记录结束时间
    execution_time = end_time - start_time  # 计算执行时间
    print(f"Function execution took {execution_time} seconds")

except pymysql.Error as e:
    print(f'错误:,{e}')

 

标签:oceanBbase,金仓,数据库,游标,pymysql,cursor1,time,execution
From: https://www.cnblogs.com/yclh/p/18556649

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