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MySQL数据库面试题

MySQL数据库面试题:一千万的数据 应该如何查询?

时间:2023-09-23 12:47:22 来源:IT袋 作者:苏晓敏
导读:MySQL数据库面试题,今天带来的IT技巧小经验MySQL数据库面试题及一千万的数据方面的讲解,下面为详细的介绍。 最近在给大家做模拟面试和简历优化,其中发现很多人一看到 什么千万级数据

MySQL数据库面试题

今天带来的IT技巧小经验MySQL数据库面试题及一千万的数据方面的讲解,下面为详细的介绍。

最近在给大家做模拟面试和简历优化,其中发现很多人一看到什么千万级数据之类的面试题就会腿软。

也许有些人没遇过上千万数据量的表,也不清楚查询上千万数据量的时候会发生什么。

今天就来带大家实操一下,这次是基于MySQL 5.7.26做测试

MySQL数据库面试题

准备数据

没有一千万的数据怎么办?

没有数据自己不会造吗?

造数据难吗?

代码创建一千万?

那是不可能的,太慢了,可能真的要跑一天。可以采用数据库脚本执行速度快很多。

创建表

CREATE TABLE `user_operation_log`  (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `user_id` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `ip` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `op_data` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr1` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr2` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr3` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr4` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr5` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr6` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr7` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr8` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr9` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr10` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr11` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  `attr12` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL,
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic;

创建数据脚本

采用批量插入,效率会快很多,而且每1000条数就commit,数据量太大,也会导致批量插入效率慢

DELIMITER ;;
CREATE PROCEDURE batch_insert_log()
BEGIN
  DECLARE i INT DEFAULT 1;
  DECLARE userId INT DEFAULT 10000000;
 set @execSql = 'INSERT INTO `test`.`user_operation_log`(`user_id`, `ip`, `op_data`, `attr1`, `attr2`, `attr3`, `attr4`, `attr5`, `attr6`, `attr7`, `attr8`, `attr9`, `attr10`, `attr11`, `attr12`) VALUES';
 set @execData = '';
  WHILE i<=10000000 DO
   set @attr = "'测试很长很长很长很长很长很长很长很长很长很长很长很长很长很长很长很长很长的属性'";
  set @execData = concat(@execData, "(", userId + i, ", '10.0.69.175', '用户登录操作'", ",", @attr, ",", @attr, ",", @attr, ",", @attr, ",", @attr, ",", @attr, ",", @attr, ",", @attr, ",", @attr, ",", @attr, ",", @attr, ",", @attr, ")");
  if i % 1000 = 0
  then
     set @stmtSql = concat(@execSql, @execData,";");
    prepare stmt from @stmtSql;
    execute stmt;
    DEALLOCATE prepare stmt;
    commit;
    set @execData = "";
   else
     set @execData = concat(@execData, ",");
   end if;
  SET i=i+1;
  END WHILE;
END;;
DELIMITER ;

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