SQL - 在表格的一列中查找数字的所有实例，并在该行的另一列中显示数据

Question

I have a database with id numbers from 1 all the way to around 5000. Each page displays data from it's corresponding row based on page hashes using ajax to load the relevant data into each div. Each row has a varchar column that tells what other items are relevant. On each page, I would like to cross index the whole table to find instances of the relevant id in other entries and display the title of that entry from the table with a link (which will be generated automatically using a script). For example, if my id is 346, I would like to parse the 'relevant' column for any entries that contain a reference to #346 and display the data from the 'title' column of that row for each instance found in the table.

So, a selection of my database looks like this.

+-------------------+----------------+------------------+------------------+
| id (INT)          | title (VCHAR)  | author (VCHAR)   | relevant (VCHAR) |
+-------------------+----------------+------------------+------------------+
| 346               | title A        | name             | See #2 and #24   |
| 347               | title B        | name             | See #789         |
| 348               | title C        | name             | See #1 and #346  |
| 349               | title D        | name             | See #34 and #224 |
| 340               | title E        | name             | See #34 and #346 |
| 341               | title F        | name             | See #13 and #87  |
| 342               | title G        | name             | See #346 and #600|
| 343               | title H        | name             | See #346 and #808|
 --------------------------------------------------------------------------

So, based on my url hash, which would be #346, I should see output into a div that looks like this

See also:
Title C    Title E     Title G     Title H

What is the best method for doing this? Would it be better to use some other reference besides a url hash since I'm already pulling the id from the database using it?

Answer 1

As mentionned in the comment by @M.Eriksson, your database structure is wrong and will lead you to bad performances.

Now, if you need to keep your current data structure and if performances are not critical, you can sort this out by doing one more query for each results:

• Loop over each of your articles, use a regex to extract all the #id of column relevant into an array.

• Build a SQL query based on that array:

  SELECT * FROM your_table WHERE id=id1 OR id=id2 OR id=id3...

(that can be easily done using the function implode )