如何使用分区处理MySQL的亿级数据优化

CREATE TABLE `tb_name` (
  `id_`,
  ...,
  KEY `idx_1` (`create_user_`) 
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='应用日志'
PARTITION BY RANGE(to_days(log_time_)) (
    PARTITION p1231 VALUES LESS THAN (737425),
    PARTITION p0101 VALUES LESS THAN (737426),
    PARTITION p0102 VALUES LESS THAN (737427),
    PARTITION p0103 VALUES LESS THAN (737428),
    PARTITION p0104 VALUES LESS THAN (737429),
......
);

delimiter $$
create procedure proc_name(param varchar(50))
begin
 declare start_date date;
    declare end_date date;
    set start_date = '2018-12-31';
    set end_date = '2019-02-01';
    
    start transaction;
 truncate tmp_talbe;
 commit;
    
    while start_date < end_date do
  set @partition_name = date_format(start_date, '%m%d');
        set @start_time = now(); -- 记录当前分区操作起始时间
        
  start transaction;
  set @sqlstr = concat(
   "insert into tmp_talbe",
   "select field_names ",
            "from tb_name partition(p", @partition_name,") t ",
            "where conditions;"
   );
  -- select @sqlstr;
  prepare stmt from @sqlstr;  
  execute stmt;
  deallocate prepare stmt;
  commit;
        
        -- 插入日志
        set @finish_time = now(); -- 操作结束时间
        insert into oprerate_log values(param, @partition_name, @start_time, @finish_time, timestampdiff(second, @start_time, @finish_time));
        
  set start_date = date_add(start_date, interval 1 day);
    end while;
end
$$
delimiter ;