This is a read-only copy of the MariaDB Knowledgebase generated on 2024-11-14. For the latest, interactive version please visit https://mariadb.com/kb/.

Optimizing for "Latest News"-style Queries

The problem space

Let's say you have "news articles" (rows in a table) and want a web page showing the latest ten articles about a particular topic.

Variants on "topic":

  • Category
  • Tag
  • Provider (of news article)
  • Manufacturer (of item for sale)
  • Ticker (financial stock)

Variants on "news article"

  • Item for sale
  • Blog comment
  • Blog thread

Variants on "latest"

  • Publication date (unix_timestamp)
  • Most popular (keep the count)
  • Most emailed (keep the count)
  • Manual ranking (1..10 -- 'top ten')

Variants on "10" - there is nothing sacred about "10" in this discussion.

The performance issues

Currently you have a table (or a column) that relates the topic to the article. The SELECT statement to find the latest 10 articles has grown in complexity, and performance is poor. You have focused on what index to add, but nothing seems to work.

  • If there are multiple topics for each article, you need a many-to-many table.
  • You have a flag "is_deleted" that needs filtering on.
  • You want to "paginate" the list (ten articles per page, for as many pages as necessary).

The solution

First, let me give you the solution, then I will elaborate on why it works well.

  • One new table called, say, Lists.
  • Lists has _exactly_ 3 columns: topic, article_id, sequence
  • Lists has _exactly_ 2 indexes: PRIMARY KEY(topic, sequence, article_id), INDEX(article_id)
  • Only viewable articles are in Lists. (This avoids the filtering on "is_deleted", etc)
  • Lists is InnoDB. (This gets "clustering".)
  • "sequence" is typically the date of the article, but could be some other ordering.
  • "topic" should probably be normalized, but that is not critical to this discussion.
  • "article_id" is a link to the bulky row in another table(s) that provide all the details about the article.

The queries

Find the latest 10 articles for a topic:

SELECT  a.*
    FROM  Articles a
    JOIN  Lists s ON s.article_id = a.article_id
    WHERE  s.topic = ?
    ORDER BY  s.sequence DESC
    LIMIT  10;

You must not have any WHERE condition touching columns in Articles.

When you mark an article for deletion; you must remove it from Lists:

DELETE  FROM  Lists
    WHERE  article_id = ?;

I emphasize "must" because flags and other filtering is often the root of performance issues.

Why it works

By now, you may have discovered why it works.

The big goal is to minimize the disk hits. Let's itemize how few disk hits are needed. When finding the latest articles with 'normal' code, you will probably find that it is doing significant scans of the Articles table, failing to quickly home in on the 10 rows you want. With this design, there is only one extra disk hit:

  • 1 disk hit: 10 adjacent, narrow, rows in Lists -- probably in a single "block".
  • 10 disk hits: The 10 articles. (These hits are unavoidable, but may be cached.) The PRIMARY KEY, and using InnoDB, makes these quite efficient.

OK, you pay for this by removing things that you should avoid.

  • 1 disk hit: INDEX(article_id) - finding a few ids
  • A few more disk hits to DELETE rows from Lists. This is a small price to pay -- and you are not paying it while the user is waiting for the page to render.

See also

Rick James graciously allowed us to use this article in the Knowledge Base.

Rick James' site has other useful tips, how-tos, optimizations, and debugging tips.

Original source: http://mysql.rjweb.org/doc.php/lists

Content reproduced on this site is the property of its respective owners, and this content is not reviewed in advance by MariaDB. The views, information and opinions expressed by this content do not necessarily represent those of MariaDB or any other party.