Overview
I was interested in finding out new techniques that we can use in extracting data via MySQL errors. This is a detailed write-up which will make you understand how I made these queries. When we look how MySQL handles integers I was interested in causing overflows. This is how MySQL stores integers.
(Source: http://dev.mysql.com/doc/refman/5.5/en/integer-types.html)
These overflow errors will cause in MySQL versions 5.5.5 and above only. In below versions integer overflows would result in a silent wraparound.
The data type BIGINT is of 8 bytes in size which means it’s of 64 bits. If we take the maximum signed value of a BIGINT its “0b0111111111111111111111111111111111111111111111111111111111111111”, “0x7fffffffffffffff”, “9223372036854775807” in binary, hex and decimal respectively. Once we evaluate numerical expressions on this value like adding will cause a “BIGINT value is out of range” error.
mysql> select 9223372036854775807+1;
ERROR 1690 (22003): BIGINT value is out of range in '(9223372036854775807 + 1)'

