Thanks, adding the indexes worked beautifully. I'll go knock my head on
the desk now. Thanks for your time :)
Ed
Edward Ritter said the following on 7/20/2004 1:08 PM:
Thanks, I'll take a look at that. The id isn't unique, so that's why I
added the idx column.
Does my query look okay beyond that? I'll add the additional indexes and
try again.
Ed
Garth Webb said the following on 7/20/2004 1:03 PM:
What is the 'idx' for when you already have an 'id' column? Also, you
need an index on the column that you are joining on; having a single
indexed column on a table doesn't automatically improve all queries
against that table. Put an index on the 'email_address' fields of both
tables. You'll need:
ALTER TABLE la_entire
ADD INDEX idx_email_address (email_address);
ALTER TABLE la_final
ADD INDEX idx_email_address (email_address);
See:
http://dev.mysql.com/doc/mysql/en/ALTER_TABLE.html
On Tue, 2004-07-20 at 09:22, Edward Ritter wrote:
Stefan:
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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