如何在一个查询中合并不同的多个选择？

Question

Is it possible to combine all the tables in one or maybe two queries?

I tried to use union but i need access to each row in query.

And the biggest problem for me is to sort all of this with ORDER BY.

For example i need to print first query rows in one div, second query rows in another div and so on..

(SELECT 
      link as RelLink, 
      date as RelDate,
      title as RelTitle 
   FROM torrent 
   WHERE moderate = 1 
   ORDER BY date DESC LIMIT 0,12),
(SELECT 
      torrent as TorLink1, 
      date as TorDate1, 
      title as TorTitle1 
   FROM torrents 
   WHERE moderate = 1 AND genre = 1 
   ORDER BY date DESC LIMIT 10),
(SELECT 
      date as TorDate2, 
      torrent as TorLink2, 
      title as TorTitle2 
   FROM torrents 
   WHERE moderate = 1 AND genre = 2 
   ORDER BY date DESC LIMIT 10),
(SELECT 
      link as NewsLink1, 
      date as NewsDate1, 
      title as NewsTitle1 
   FROM news 
   WHERE moderate = 1
   ORDER BY date DESC LIMIT 0,10),
(SELECT 
      link as NewsLink2, 
      date as NewsDate2,
      title as NewsTitle2 
   FROM news 
   WHERE moderate = 1 
   ORDER BY date DESC LIMIT 10,10);

Answer 1

Yes, it's possible to do what you ask. You need UNION ALL between your queries. You also need to use the same aliases for your columns in each of the items you're UNION ing together.

Here's what will do the job for you. I didn't repeat all your subqueries

SELECT Link, Date, Title 
FROM (
    SELECT link as Link, date as Date, title as Title 
      FROM torrent  WHERE moderate = 1 ORDER BY date DESC LIMIT 0,12
    UNION ALL
    SELECT torrent as Link, date as Date, title as Title 
      FROM torrents  WHERE moderate = 1 AND genre = 1 ORDER BY date DESC LIMIT 10
    UNION ALL
    SELECT torrent as Link, date as Date, title as Title
      FROM torrents WHERE moderate = 1 AND genre = 2 ORDER BY date DESC LIMIT 10 
    UNION ALL
   /* etc etc */
) AS query
ORDER BY Date DESC

Notice how all the columns are made to conform to each other by using the same aliases?

If you want these items deduplicated, use UNION rather that UNION ALL . It's a little slower because of the deduplication process, but you're only handling dozens of rows so that's likely not a problem.