MySql Query - optimization with varchars, indexs, taking over an hour to run - php

Question

So I need to run a query that I do not know the UUID - but need to find it... so I am using the street num, street name, and a company UUID to find it
I have a few million records, and this took query is taking around an HOUR!!
any advice to speed it up?
gisPoints
UUID Indexed Unique varchar(36)
street_num int(11)
street_name varchar(128)
geoPoint_temp
UUID Indexed Unique varchar(36)
street_num int(11)
street_name varchar(128)
gcomUUID Indexed varchar(36)
update geoPoint_temp as temp JOIN gisPoints as `prod` on prod.gcomUUID=temp.gcomUUIDand prod.street_num=temp.street_num and prod.street_name REGEXP(temp.street_name)
set temp.UUID=prod.UUID,temp.customerUUID=prod.customerUUID WHERE temp.`uploadstate` = '1'";

Answer 1

Assuming you have the following values (in PHP):
$street_num = ...;//something
$street_name = ...;//something
$gcomUUID = ...;//something
If you run the following sql code:
$sql = "SELECT * FROM (
SELECT * FROM (
SELECT * FROM geoPoint_temp WHERE gcomUUID = $gcomUUID)
WHERE street_name = $street_name)
WHERE street_num = $street_num;"
You should obtain a list of rows (0 or more) from geoPoint_temp that have matching values, and it should be relatively fast even in a big table.
After obtaining those rows, you can check if the row count is greater than zero, and if so update the rows. If your using MySQL (PDO), you could do something similar to the following:
$count = $stmt->rowCount();
if ($count>0)
{
$rows = $stmt->fetchAll();
foreach ($rows as $row)
{
$sql = "UPDATE geoPoint_temp SET ... WHERE UUID = ".$row['UUID'];
$stmt = $conn->prepare($sql);
$stmt->execute();
}
}
Let me know if that helped.
EDITED:
Try the following as well and let me know if it works:
$sql = "
UPDATE geoPoint_temp SET ... WHERE UUID IN
(SELECT * FROM (
SELECT * FROM (
SELECT * FROM geoPoint_temp WHERE gcomUUID = $gcomUUID)
WHERE street_name = $street_name)
WHERE street_num = $street_num);"
And replace ... with the values you want updated.

Answer 2

This runs in 1.5 seconds opposed to the hours it was taking before
Much help to #Webeng for pointing us in the right direction!
$custquery="UPDATE geoPoint_temp as temp
join
(
select prod.name, prod.street_num, prod.street_name, prod.UUID,prod.customerUUID, prod.gcomUUID
FROM gisPoints as `prod`
JOIN
(
select t1.gcomUUID , t1.street_num, t1.street_name
FROM geoPoint_temp as t1
) as sub1 on prod.gcomUUID =sub1.gcomUUID and prod.street_num=sub1.street_num
) as sub2 on sub2.gcomUUID =temp.gcomUUID
and sub2.street_num=temp.street_num
AND sub2.street_name LIKE (CONCAT('%',temp.street_name,'%'))
set temp.customerUUID = sub2.customerUUID, temp.UUID=sub2.UUID";
$custre=mysql_query($custquery);
if (!$custre) { echo 'Could not run custre query: ' . mysql_error(); exit; }