为企业规划网站注意什么建设营销网站多少钱

场景：
使用分库分表的业务有时分库数量几百甚至上千，当主管需要查询每个库中的数据，掌握数据分布情况。要你查看哪些库中的表数量大于某个量级的给找出来 ，你会怎么做。

例子 ：
mysql库数量：db_xx_deviceinfo0-999 共1000个库每个库中 28个表。

一、查系统表(缺点：数据不是很精确，优点：快速。)

root@localhost 14:17:  [information_schema]>select TABLE_SCHEMA,TABLE_NAME,TABLE_ROWS from tables where TABLE_SCHEMA like 'db_xx_deviceinfo%' and TABLE_ROWS>200000;
+-----------------------+------------------------+------------+
| TABLE_SCHEMA          | TABLE_NAME             | TABLE_ROWS |
+-----------------------+------------------------+------------+
| db_xx_deviceinfo104 | electric_meter_reading |    1578844 |
| db_xx_deviceinfo696 | electric_meter_reading |    3579983 |
| db_xx_deviceinfo696 | push_data_record       |     975528 |
+-----------------------+------------------------+------------+

二、采用查询业务表的方式(缺点：写脚本去完成，有点麻烦，优点：快速与准确)

1、脚本

#! _*_ coding:utf-8 _*_import pymysql
import sys
from concurrent.futures import ThreadPoolExecutor, as_completedm_host = sys.argv[1]
m_user='tmp_select'
m_port = sys.argv[2]  # 这里是字符串类型
m_db = sys.argv[3]
t_count = sys.argv[4]def get_mysql_connection():"""获取MySQL数据库连接"""# 从密码文件中读取密码try:with open('/root/.ssh/.password.txt', 'r') as f:password = f.read().strip()except Exception as e:print(f"无法读取密码文件: {e}")sys.exit(1)# 连接MySQLtry:conn = pymysql.connect(host=m_host,  # MySQL服务器IPport=int(m_port),  # 关键修复：将字符串转换为整数user=m_user,   # 用户名password=password,   # 密码charset='utf8mb4',cursorclass=pymysql.cursors.DictCursor,connect_timeout=30)return connexcept Exception as e:print(f"数据库连接失败: {e}")sys.exit(1)def check_database_exists(conn, db_name):"""检查数据库是否存在"""try:with conn.cursor() as cursor:cursor.execute("SHOW DATABASES LIKE %s", (db_name,))return cursor.fetchone() is not Noneexcept Exception as e:print(f"检查数据库 {db_name} 是否存在时出错: {e}")return Falsedef check_table_data_count(db_name):"""检查单个库中所有表的数据量"""results = []try:# 为每个线程创建独立的连接with open('/root/.ssh/.pwd.txt', 'r') as f:password = f.read().strip()conn = pymysql.connect(host=m_host,port=int(m_port),user=m_user,password=password,database=db_name,charset='utf8mb4',cursorclass=pymysql.cursors.DictCursor,connect_timeout=10)with conn.cursor() as cursor:# 获取当前数据库中的所有表cursor.execute("SHOW TABLES")tables = cursor.fetchall()for table in tables:table_name = list(table.values())[0]# 查询表的数据量try:cursor.execute(f"SELECT COUNT(*) as count FROM `{table_name}`")count_result = cursor.fetchone()data_count = count_result['count']# 如果数据量大于t_count，记录结果if data_count > int(t_count):result_str = f"库名: {db_name}, 表名: {table_name}, 数据量: {data_count}"results.append(result_str)except Exception as e:print(f"查询表 {db_name}.{table_name} 数据量时出错: {e}")continueconn.close()except Exception as e:print(f"检查数据库 {db_name} 时出错: {e}")return resultsdef main():"""主函数"""print("开始检查各库表数据量...")print(f"连接MySQL服务器: %s:%s, 用户: %s" %(m_host,m_port,m_user))# 生成所有数据库名database_names = [f"{m_db}{str(i)}" for i in range(1000)]# 先检查哪些数据库存在conn = get_mysql_connection()existing_dbs = []print("正在检查存在的数据库...")for db_name in database_names:if check_database_exists(conn, db_name):existing_dbs.append(db_name)conn.close()print(f"发现 {len(existing_dbs)} 个数据库存在")# 使用多线程并行检查每个数据库all_results = []with ThreadPoolExecutor(max_workers=20) as executor:# 提交所有任务future_to_db = {executor.submit(check_table_data_count, db_name): db_name for db_name in existing_dbs}# 处理完成的任务for i, future in enumerate(as_completed(future_to_db)):db_name = future_to_db[future]try:results = future.result()all_results.extend(results)# 实时输出结果for result in results:print(result)# 显示进度if (i + 1) % 10 == 0:print(f"已完成 {i + 1}/{len(existing_dbs)} 个数据库的检查")except Exception as e:print(f"处理数据库 {db_name} 时发生错误: {e}")# 保存结果到文件if all_results:with open('table_data_count_results.txt', 'w', encoding='utf-8') as f:for result in all_results:f.write(result + '\n')print(f"\n检查完成，共找到 {len(all_results)} 个表的数据量大于{t_count}")print("结果已保存到 table_data_count_results.txt 文件中")else:print(f"未找到数据量大于{t_count}的表")if __name__ == "__main__":main()

2、运行查询
python3 910.py 1x2.1x.5.x1 3305 db_xx_deviceinfo 200000