SQL alternative to sub-query in FROM - mysql

Question

I have a table containing user to user messages. A conversation has all messages between two users. I am trying to get a list of all the different conversations and display only the last message sent in the listing.
I am able to do this with a SQL sub-query in FROM.
CREATE TABLE `messages` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`from_user_id` bigint(20) DEFAULT NULL,
`to_user_id` bigint(20) DEFAULT NULL,
`type` smallint(6) NOT NULL,
`is_read` tinyint(1) NOT NULL,
`is_deleted` tinyint(1) NOT NULL,
`text` longtext COLLATE utf8_unicode_ci NOT NULL,
`heading` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`created_at_utc` datetime DEFAULT NULL,
`read_at_utc` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
);
SELECT * FROM
(SELECT * FROM `messages` WHERE TYPE = 1 AND
(from_user_id = 22 OR to_user_id = 22)
ORDER BY created_at_utc DESC
) tb
GROUP BY from_user_id, to_user_id;
SQL Fiddle:
http://www.sqlfiddle.com/#!2/845275/2
Is there a way to do this without a sub-query?
(writing a DQL which supports sub-queries only in 'IN')

Answer 1

You seem to be trying to get the last contents of messages to or from user 22 with type = 1. Your method is explicitly not guaranteed to work, because the extra columns (not in the group by) can come from arbitrary rows. As explained in the [documentation][1]:
MySQL extends the use of GROUP BY so that the select list can refer to
nonaggregated columns not named in the GROUP BY clause. This means
that the preceding query is legal in MySQL. You can use this feature
to get better performance by avoiding unnecessary column sorting and
grouping. However, this is useful primarily when all values in each
nonaggregated column not named in the GROUP BY are the same for each
group. The server is free to choose any value from each group, so
unless they are the same, the values chosen are indeterminate.
Furthermore, the selection of values from each group cannot be
influenced by adding an ORDER BY clause. Sorting of the result set
occurs after values have been chosen, and ORDER BY does not affect
which values within each group the server chooses.
The query that you want is more along the lines of this (assuming that you have an auto-incrementing id column for messages):
select m.*
from (select m.from_user_id, m.to_user_id, max(m.id) as max_id
from message m
where m.type = 1 and (m.from_user_id = 22 or m.to_user_id = 22)
) lm join
messages m
on lm.max_id = m.id;
Or this:
select m.*
from message m
where m.type = 1 and (m.from_user_id = 22 or m.to_user_id = 22) and
not exists (select 1
from messages m2
where m2.type = m.type and m2.from_user_id = m.from_user_id and
m2.to_user_id = m.to_user_id and
m2.created_at_utc > m.created_at_utc
);
For this latter query, an index on messages(type, from_user_id, to_user_id, created_at_utc) would help performance.

Answer 2

Since this is a rather specific type of data query which goes outside common ORM use cases, DQL isn't really fit for this - it's optimized for walking well-defined relationships.
For your case however Doctrine fully supports native SQL with result set mapping. Using a NativeQuery with ResultSetMapping like this you can easily use the subquery this problem requires, and still map the results on native Doctrine entities, allowing you to still profit from all caching, usability and performance advantages.
Samples found here.

Answer 3

If you mean to get all conversations and all their last messages, then a subquery is necessary.
SELECT a.* FROM messages a
INNER JOIN (
SELECT
MAX(created_at_utc) as max_created,
from_user_id,
to_user_id
FROM messages
GROUP BY from_user_id, to_user_id
) b ON a.created_at_utc = b.max_created
AND a.from_user_id = b.from_user_id
AND a.to_user_id = b.to_user_id
And you could append the where condition as you like.
THE SQL FIDDLE.

Answer 4

I don't think your original query was even doing this correctly. Not sure what the GROUP BY was being used for other than maybe try to only return a single (unpredictable) result.
Just add a limit clause:
SELECT * FROM `messages`
WHERE `type` = 1 AND
(`from_user_id` = 22 OR `to_user_id` = 22)
ORDER BY `created_at_utc` DESC
LIMIT 1
For optimum query performance you need indexes on the following fields:
type
from_user_id
to_user_id
created_at_utc