MySQL InnoDB：最佳实践批量插入

Question

我正在尝试向InnoDB表中插入2x 700 000条记录，我认为这相当慢。

我已经尝试了几件事，但是我不确定实现最佳插入效率的最佳方法是什么。

创建表sql：

DROP TABLE IF EXISTS `booking_daily_analysis`;
CREATE TABLE IF NOT EXISTS `booking_daily_analysis` (
  `id` INT NOT NULL AUTO_INCREMENT,
  `booking_id` INT NULL,
  `action_id` INT NOT NULL,
  `creative_id` INT NULL,
  `position_id` INT NULL,
  `profile_id` INT NULL,
  `start` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
  `end` datetime NOT NULL DEFAULT '0000-00-00 00:00:00',
  `hits` INT NOT NULL DEFAULT 0,
  `uniqueHits` INT NOT NULL DEFAULT 0 COMMENT 'contacts van vroeger',
  PRIMARY KEY (`id`,`action_id`)
  #INDEX `booking_id_idx` (`booking_id` ASC),
  #FOREIGN KEY (`booking_id`) REFERENCES `booking` (`id`) ON DELETE SET NULL ON UPDATE CASCADE,
  #INDEX `creative_id_idx` (`creative_id` ASC),
  #FOREIGN KEY (`creative_id`) REFERENCES `creative` (`id`) ON DELETE SET NULL ON UPDATE CASCADE,
  #INDEX `position_id_idx` (`position_id` ASC),
  #FOREIGN KEY (`position_id`) REFERENCES `position` (`id`) ON DELETE SET NULL ON UPDATE CASCADE,
  #INDEX `action_id_idx` (`action_id` ASC),
  #FOREIGN KEY (`action_id`) REFERENCES `action` (`id`) ON DELETE NO ACTION ON UPDATE CASCADE,  
  #INDEX `profile_id_idx` (`profile_id` ASC),
  #FOREIGN KEY (`profile_id`) REFERENCES `profile` (`id`) ON DELETE SET NULL ON UPDATE CASCADE
) ENGINE=InnoDB DEFAULT CHARACTER SET=utf8;

如您所见，很多索引和外键（innoDb每个外键都需要一个索引），但是索引会降低插入速度，因此我尝试在通过alter语句插入之后添加它们：

START TRANSACTION;
alter table `booking_daily_analysis` add index `booking_id_idx` (`booking_id` ASC), add constraint `fk_booking_id` foreign key (`booking_id`) REFERENCES `booking` (`id`) on delete set null on update cascade;
alter table `booking_daily_analysis` add index `creative_id_idx` (`creative_id` ASC), add constraint `fk_creative_id` foreign key (`creative_id`) references `creative` (`id`) on delete set null on update cascade;
alter table `booking_daily_analysis` add index `position_id_idx` (`position_id` ASC), add constraint `fk_position_id` foreign key (`position_id`) references `position` (`id`) on delete set null on update cascade;
alter table `booking_daily_analysis` add index `action_id_idx` (`action_id` ASC), add constraint `fk_action_id` foreign key (`action_id`) references `action` (`id`) on delete set null on update cascade;
alter table `booking_daily_analysis` add index `profile_id_idx` (`profile_id` ASC), add constraint `fk_profile_id` foreign key (`profile_id`) references `profile` (`id`) on delete set null on update cascade;
COMMIT;

不确定是否需要交易。

在脚本的顶部，我指定了以下选项：

SET foreign_key_checks=0;
SET unique_checks=0;

底端：

SET unique_checks = 1;
SET foreign_key_checks = 1;

2x 700 000插入语句（对此仅2行）

START TRANSACTION;
insert into nrc.booking_daily_analysis (id, action_id, start, end, hits, uniqueHits, position_id, booking_id, creative_id, profile_id)
select id, 1, start, end, impressions, contacts, position_id, booking_id, creative_id, new_profile_id from adhese_nrc.temp_ad_slot_ids;
COMMIT;

START TRANSACTION;
-- Insert clicks for click action (click action is 2)
insert into nrc.booking_daily_analysis (id, action_id, start, end, hits, uniqueHits, position_id, booking_id, creative_id, profile_id)
select id, 2, start, end, clicks, 0, position_id, booking_id, creative_id, new_profile_id from adhese_nrc.temp_ad_slot_ids;
COMMIT;

如您所见，插入中的唯一区别是动作ID（1-> 2）。

所以我想知道，这是走的路还是我在这里错过了什么？

MySQL工作台的最新输出：

14:32:13    START TRANSACTION   0 row(s) affected   0.000 sec

14:32:13    FIRST INSERT 717718 row(s) affected Records: 717718  @ 11.263 sec

14:32:24    COMMIT  0 row(s) affected   0.020 sec
14:32:24    START TRANSACTION   0 row(s) affected   0.000 sec

14:32:24    SECOND INSERT   717718 row(s) affected Records: 717718 @ 21.268 sec

14:32:46    COMMIT  0 row(s) affected   0.011 sec
14:32:46    START TRANSACTION   0 row(s) affected   0.000 sec

14:32:46    add index `booking_id_idx`  1435436 row(s) affected Records: 1435436 @ 39.393 sec
14:33:25    add index `creative_id_idx  1435436 row(s) affected Records: 1435436  @ 68.801 sec
14:34:34    add index `position_id_idx` 1435436 row(s) affected Records: 1435436  Duplicates: 0  Warnings: 0 @ 142.877 sec
14:36:57    add index `action_id_idx` 1435436 row(s) affected Records: 1435436  Duplicates: 0  Warnings: 0 @ 162.160 sec
14:40:00    add index `profile_id_idx` 1435436 row(s) affected Records: 1435436  Duplicates: 0  Warnings: 0 @ 763.309 sec

Answer 1

本手册页还建议更改innodb_autoinc_lock_mode 。

如果不需要该功能，请禁用二进制日志记录 。

增加某些InnoDB缓冲区的大小也可能有所帮助（特别是innodb_buffer_pool_size ）。

我认为在这种情况下不希望使用事务。 如果需要在同一事务中应用少量连续更改，则可以通过合并到一个写入中来优化这些更改。 就您而言，我相信您只会无用地加载重做日志。

这给我提出了另一个建议：尝试一次插入较少数量的行，如下所示：

INSERT INTO destination
SELECT * FROM source LIMIT 0, 10000;

INSERT INTO destination
SELECT * FROM source LIMIT 10000, 10000; -- and so on

最后，如果您有大量可用内存，则可能需要手动将整个数据加载到临时内存表中，然后从此内存表插入目标位置（可能是小批量）：

CREATE TEMPORARY TABLE destination_tmp LIKE source;
ALTER destination_tmp ENGIN=MEMORY;
INSERT INTO destination_tmp SELECT * FROM source;
INSERT INTO destination SELECT * FROM destination_tmp;

确保max_heap_table_size值足够大。