Mysql Matching “Same” Emails

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Mysql Matching “Same” Emails
I have a table with 2 columns email
and id
. I need to find emails that are closely related. For example:
email
id
john.smith12@example.com
and
john.smith12@some.subdomains.example.com
These should be considered the same because the username (john.smith12
) and the most top level domain (example.com
) are the same. They are currently 2 different rows in my table. I've written the below expression which should do that comparison but it takes hours to execute (possibly/probably because of regex). Is there a better way to write this:
john.smith12
example.com
select c1.email, c2.email
from table as c1
join table as c2
on (
c1.leadid <> c2.leadid
and
c1.email regexp replace(replace(c2.email, '.', '[.]'), '@', '@[^@]*'))
The explain of this query comes back as:
id, select_type, table, type, possible_keys, key, key_len, ref, rows, Extra
1, SIMPLE, c1, ALL, NULL, NULL, NULL, NULL, 577532, NULL
1, SIMPLE, c2, ALL, NULL, NULL, NULL, NULL, 577532, Using where; Using join buffer (Block Nested Loop)
The create table is:
CREATE TABLE `table` (
`ID` int(11) NOT NULL AUTO_INCREMENT,
`Email` varchar(100) DEFAULT NULL,
KEY `Table_Email` (`Email`),
KEY `Email` (`Email`)
) ENGINE=InnoDB AUTO_INCREMENT=667020 DEFAULT CHARSET=latin1
I guess the indices aren't being used because of the regexp.
The regex comes out as:
john[.]smith12@[^@]*example[.]com
which should match both addresses.
Update:
I've modified the on
to be:
on
on (c1.email <> '' and c2.email <> '' and c1.leadid <> c2.leadid and substr(c1. email, 1, (locate('@', c1.email) -1)) = substr(c2. email, 1, (locate('@', c2.email) -1))
and
substr(c1.email, locate('@', c1.email) + 1) like concat('%', substr(c2.email, locate('@', c2.email) + 1)))
and the explain
with this approach is at least using the indices.
explain
id, select_type, table, type, possible_keys, key, key_len, ref, rows, Extra
1, SIMPLE, c1, range, table_Email,Email, table_Email, 103, NULL, 288873, Using where; Using index
1, SIMPLE, c2, range, table_Email,Email, table_Email, 103, NULL, 288873, Using where; Using index; Using join buffer (Block Nested Loop)
So far this has executed for 5 minutes, will update if there is a vast improvement.
@Barmar That makes sense, I've updated to a non-regex but not seeing an improvement yet.
– user3783243
yesterday
%
at the beginning of a LIKE
pattern prevents it from using an index. You want the pattern to be john.smith@%
– Barmar
yesterday
%
LIKE
john.smith@%
Maybe you could use a generated column that holds a canonical version of the email.
– Barmar
yesterday
Yes, something like
WHERE c1.email LIKE CONCAT(SUBSTR(c2.email, 1, POSITION(c2.email, '@')), '%') AND ...
– Barmar
yesterday
WHERE c1.email LIKE CONCAT(SUBSTR(c2.email, 1, POSITION(c2.email, '@')), '%') AND ...
1 Answer
1
No REGEXP_REPLACE
needed, so it will work in all versions of MySQL/MariaDB:
REGEXP_REPLACE
UPDATE tbl
SET email = CONCAT(SUBSTRING_INDEX(email, '@', 1),
'@',
SUBSTRING_INDEX(
SUBSTRING_INDEX(email, '@', -1),
'.',
-2);
Since no index is useful, you may as well not bother with a WHERE
clause.
WHERE
I thought the index would only be ignored if there were wildcards used on both sides of the expression. I thought with one
%
either left or right, it could still use an index. Is that incorrect? I can't make an edit but there a missing )
and it'll be -3
so we account for second level TLDs, like UK. CONCAT(SUBSTRING_INDEX(email, '@', 1), '@', SUBSTRING_INDEX( SUBSTRING_INDEX(email, '@', -1), '.', -3));
– user3783243
yesterday
%
)
-3
CONCAT(SUBSTRING_INDEX(email, '@', 1), '@', SUBSTRING_INDEX( SUBSTRING_INDEX(email, '@', -1), '.', -3));
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Related: stackoverflow.com/questions/12318083/…
– Barmar
yesterday