I added an index column to each after I imported. Here's a listing of the two tables.
la_entire +----------------+-------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +----------------+-------------+------+-----+---------+----------------+ | id1 | int(3) | | | 0 | | | id2 | varchar(6) | | | | | | first_name | varchar(30) | | | | | | last_name | varchar(30) | | | | | | street_address | varchar(50) | | | | | | city | varchar(30) | | | | | | state | char(2) | | | | | | zip | varchar(9) | | | | | | email_address | varchar(50) | | | | | | idx | int(7) | | PRI | NULL | auto_increment | +----------------+-------------+------+-----+---------+----------------+ 10 rows in set (0.00 sec)
+----------------+-------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +----------------+-------------+------+-----+---------+----------------+ | id | int(5) | | | 0 | | | county | int(5) | | | 0 | | | precinct | int(5) | | | 0 | | | last_name | varchar(30) | | | | | | first_name | varchar(30) | | | | | | src_address | varchar(30) | | | | | | src_city | varchar(30) | | | | | | src_state | varchar(20) | | | | | | src_zip | int(5) | | | 0 | | | email_address | varchar(30) | | | | | | new_city | varchar(30) | | | | | | new_state | varchar(20) | | | | | | new_zip | int(5) | | | 0 | | | new_zip4 | int(4) | | | 0 | | | new_address | varchar(30) | | | | | | dma_flag | varchar(4) | | | | | | deceased | varchar(4) | | | | | | phone | int(12) | | | 0 | | | time_zone | varchar(4) | | | | | | phone_sol | varchar(4) | | | | | | cluster | varchar(4) | | | | | | age | varchar(4) | | | | | | income | varchar(4) | | | | | | pres_child | varchar(4) | | | | | | own_rent | varchar(4) | | | | | | length_of_res | varchar(4) | | | | | | buyer | varchar(4) | | | | | | responder | varchar(4) | | | | | | gender | varchar(4) | | | | | | occupation | varchar(4) | | | | | | education | varchar(4) | | | | | | donor_prospect | varchar(4) | | | | | | scr1ast1 | varchar(4) | | | | | | scr1bst1 | varchar(4) | | | | | | scr2ast1 | varchar(4) | | | | | | scr2bst1 | varchar(4) | | | | | | decile1 | varchar(4) | | | | | | decile2 | varchar(4) | | | | | | decile3 | varchar(4) | | | | | | decile4 | varchar(4) | | | | | | scr1ast2 | varchar(4) | | | | | | scr1bst2 | varchar(4) | | | | | | decile5 | varchar(4) | | | | | | decile6 | varchar(4) | | | | | | dob | varchar(12) | | | | | | party | varchar(4) | | | | | | idx | int(7) | | PRI | NULL | auto_increment | +----------------+-------------+------+-----+---------+----------------+ 47 rows in set (0.00 sec)
My latest attempt at a query is this:
select la_entire.* from la_entire left join la_final on la_entire.email_address = la_final.email_address where la_final.email_address is null;
Any help?
Ed
Stefan Kuhn said the following on 7/20/2004 12:05 PM:
I would expect that the speed problems are due to missing indices. Did you do proper indexing? If unsure, post your table structures and query.
Stefan
Am Tuesday 20 July 2004 17:45 schrieb Edward Ritter:
I've got a task that's gonna require me to compare one table to another and remove the rows from the first table that are found in the second table that match email_address.
I'm running 4.0.20a-nt-log. The first table has 10 colomns and about 50K records, and the second table has 46 columns and has about 16K records.
I've attempted a number of selects that just sat and hung the computer. I know I must be doing something wrong. I figure I'll need to do a left join on it, but I've not had much experience with joins as such and I need a little assistance.
Can anyone help me work this out? If you need more info, let me know.
Ed
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