MySQL数据库InnoDB数据恢复工具使用总结 - 数据库编程

名以及表中的各个列。备注：其中可能有正确的行记录，也可能有不正确的行记录。官方文档中这个章节给出了如何调整表定义获取尽可能多的有效数据，同时过滤掉垃圾行，这里不再详细描述。
customer 0 120 "" "" "" 32770 0 "0000-00-00 00:12:80" 0
customer 0 0 "" "" "" 0 0 "9120-22-48 29:44:00" 2
customer 61953 0 "" "" "" 2816 0 "7952-32-67 11:43:49" 0
customer 0 0 "" "" "" 0 0 "0000-00-00 00:00:00" 0
... snip ...
customer 0 0 "" "" "" 0 0 "0000-00-00 00:00:00" 16777728
customer 28262 114 "" "" NULL 25965 117 "4603-91-96 76:21:28" 5111809
customer 0 82 "" "" "" 22867 77 "2775-94-58 03:19:18" 1397573972
customer 2 1 "PATRICIA" "JOHNSON" "PATRICIA.JOHNSON@sakilacustomer.org" 6 1 "2006-02-14 22:04:36" 1140008240
customer 3 1 "LINDA" "WILLIAMS" "LINDA.WILLIAMS@sakilacustomer.org" 7 1 "2006-02-14 22:04:36" 1140008240
customer 4 2 "BARBARA" "JONES" "BARBARA.JONES@sakilacustomer.org" 8 1 "2006-02-14 22:04:36" 1140008240
customer 5 1 "ELIZABETH" "BROWN" "ELIZABETH.BROWN@sakilacustomer.org" 9 1 "2006-02-14 22:04:36" 1140008240
customer 6 2 "JENNIFER" "DAVIS" "JENNIFER.DAVIS@sakilacustomer.org" 10 1 "2006-02-14 22:04:36" 1140008240
customer 7 1 "MARIA" "MILLER" "MARIA.MILLER@sakilacustomer.org" 11 1 "2006-02-14 22:04:36" 1140008240
customer 8 2 "SUSAN" "WILSON" "SUSAN.WILSON@sakilacustomer.org" 12 1 "2006-02-14 22:04:36" 1140008240
customer 9 2 "MARGARET" "MOORE" "MARGARET.MOORE@sakilacustomer.org" 13 1 "2006-02-14 22:04:36" 1140008240
... snip ...

customer 0 0 "" "" "" 0 0 "0000-00-00 00:00:00" 0
customer 0 0 "" "" "" 0 0 "7679-35-98 86:44:53" 720578985

7. 导入数据到数据库中
最后，为了完成数据恢复，需要将步骤6中constraints_parser工具的输出结果，使用LOAD DATA INFILE命令导入到数据库中。命令如下：
LOAD DATA INFILE '/tmp/customer_data.tsv'
REPLACE INTO TABLE customer
FIELDS TERMINATED BY '\t'
OPTIONALLY ENCLOSED BY '"'
LINES STARTING BY 'customer\t'
(customer_id, store_id, first_name, last_name, email,
address_id, active, create_date, @last_update)
SET last_update = FROM_UNIXTIME(@last_update);　

至此，完成了数据的恢复和导入过程。希望大家不会有机会去实践这篇文章介绍的方法。

摘自大圆那些事

MySQL数据库InnoDB数据恢复工具使用总结(三)