create index for select query with multiple OR conditions and AND conditions

I have a query like the one shown below:

select count(test.id) from table1 
   inner join table2 on table1.id = table2.id
   where    (table2.email = 'test@gmail.com' 
   OR (table2.phone1 IS NOT NULL AND table2.phone1 in ('123456')) 
   OR (table2.phone2 IS NOT NULL AND table2.phone2 in ('1234456'))) 
   AND table2.id <> 1234 
   AND table2.created_at >= '2015-10-10' 
   AND table2.status NOT IN ('test') 
   AND table2.is_test = 'No';

I have an index on table2.email, table2.phone1, table2.phone2, table2.created_at. These are all single indexed and not composite indexes. As far as I know, a composite index on (table2.email, table2.phone1, table2.phone2) would not work because the conditions are OR conditions. I created a composite index on (table2.id, table2.created_at, table2.status, table2.is_test) but I got the same result in the explain query. The explain query is shown below

id  select_type table   type    possible_keys key     key_len ref rows Extra
 1  SIMPLE     table2   range   PRIMARY,     created_at  8        293  Using where
                                created_at,
                                email,
                                phone1,
                                phone2, 
                                com_index       
  1   SIMPLE    table1  eq_ref  PRIMARY       PRIMARY    4    id   1  Using index

Here com_index is the composite index I created. How can I create an index to speed this query up. It looks like from the explain result, the key selected for the query is created_at. Is there a way I can create a composite index for table 2? Please help me. Thanks in advance.

EDIT: explain for production on this query:

+----+-------------+-------+--------+----------------------------------------------+---------+---------+----------------------+--------+-------------+
| id | select_type | table | type   | possible_keys                                | key     | key_len | ref                  | rows   | Extra       |
+----+-------------+-------+--------+----------------------------------------------+---------+---------+----------------------+--------+-------------+
|  1 | SIMPLE      | l0_   | range  | PRIMARY,created_at,email,day_phone,eve_phone | PRIMARY | 4       | NULL                 | 942156 | Using where |
|  1 | SIMPLE      | m1_   | eq_ref | PRIMARY                                      | PRIMARY | 4       | lead_platform.l0_.id |      1 | Using index |
+----+-------------+-------+--------+----------------------------------------------+---------+---------+----------------------+--------+-------------+

Genrally, MySQL can't use an index on 3 possible columns (email, phone1, phone2).

I suspect the rest of your conditions are not very specific and will not give great results on your production database (meaning, most of the items are not "Test" etc.).

Optimizing a query with an OR statement across multiple columns is tricky.

This article shows that splitting such a query to multiple queries with UNION can be much faster. In your case, it would be 3 queries combined, with no OR statements. This way MySQL can perform an index merge - using the indexes on email, phone1 and phone2.

Test it and let me know if it's faster on real data.

SELECT COUNT(DISTINCT(t.id)) FROM (
    SELECT test.id FROM table1 
       INNER JOIN table2 on table1.id = table2.id
       WHERE table2.email = 'test@gmail.com' 
       AND table2.id <> 1234 
       AND table2.created_at >= '2015-10-10' 
       AND table2.status NOT IN ('test') 
       AND table2.is_test = 'No'

    UNION ALL 

    SELECT test.id FROM table1 
       INNER JOIN table2 on table1.id = table2.id
       WHERE table2.phone1 IS NOT NULL AND table2.phone1 in ('123456')
       AND table2.id <> 1234 
       AND table2.created_at >= '2015-10-10' 
       AND table2.status NOT IN ('test') 
       AND table2.is_test = 'No'

    UNION ALL   

    SELECT test.id FROM table1 
       INNER JOIN table2 on table1.id = table2.id
       WHERE table2.phone2 IS NOT NULL AND table2.phone2 in ('1234456')
       AND table2.id <> 1234 
       AND table2.created_at >= '2015-10-10' 
       AND table2.status NOT IN ('test') 
       AND table2.is_test = 'No') AS t