Looking for another method to count in a single query So, I found this article is very useful Join two tables and return data and count in a single query
and here Single query to return counts over different IDs in a single record for some IDs or parameter to use.

So my question is, if I have more than 10 IDs or parameters for which I need counts,  using COUNT(CASE WHEN ... (as below) becomes awkward and hard to maintain:

SELECT COUNT(CASE WHEN table1.id = 1 THEN table2.id END) as count1,
       COUNT(CASE WHEN table1.id = 2 THEN table2.id END) as count2,
       COUNT(CASE WHEN table1.id = 3 THEN table2.id END) as count3,
       ...,
       COUNT(CASE WHEN table1.id = 10 THEN table2.id END) as count10


Is there a better way to solve this problem?

More details:
I am using MySql database and use Codeigniter to process my data. This my current query:

&lt;?php defined('BASEPATH') OR exit('No direct script access allowed');
class Model_provenance extends CI_Model {
    function __contruct()
    {
        parent :: __contruct();
        $this-&gt;load-&gt;database();
    }
    function count_koleksi_by_provenance_status() {
        $query = $this-&gt;db-&gt;select('provenance.provenance_status, cat_provenance.status AS provenance_status,
                                    COUNT(provenance.provenance_status) AS total,
                                    COUNT(CASE WHEN provenance.provenance_status = 1 then cat_provenance.status END) AS count1,
                                    COUNT(CASE WHEN provenance.provenance_status = 2 then cat_provenance.status END) AS count2,
                                    COUNT(CASE WHEN provenance.provenance_status = 3 then cat_provenance.status END) AS count3,
                                    COUNT(CASE WHEN provenance.provenance_status = 4 then cat_provenance.status END) AS count4,
                                    COUNT(CASE WHEN provenance.provenance_status = 5 then cat_provenance.status END) AS count5,
                                    COUNT(CASE WHEN provenance.provenance_status = 6 then cat_provenance.status END) AS count6,
                                    COUNT(CASE WHEN provenance.provenance_status = 7 then cat_provenance.status END) AS count7,
                                    COUNT(CASE WHEN provenance.provenance_status = 8 then cat_provenance.status END) AS count8,
                                    COUNT(CASE WHEN provenance.provenance_status = 9 then cat_provenance.status END) AS count9', FALSE)
                        -&gt;join('provenance', 'provenance.provenance_status = cat_provenance.ID', 'LEFT')
                        -&gt;group_by('cat_provenance.status')
                        -&gt;order_by('cat_provenance.ID', 'ASC')
                        -&gt;from('cat_provenance')
                        -&gt;get();
        if($query-&gt;num_rows() &gt; 0) {
            return $query-&gt;result();
        } else {
            return NULL;
        }
    }
}


The cat_provenance data table looks like this:

ID | status
------------------
1  | Grant
2  | Legacy
3  | Gift
4  | Purchase
5  | Recompense
6  | Discovery
7  | Search
8  | Exchange
9  | Conversion


The provenance data table has the following columns:


ID
provenanceID
coll_regID
authorID
provenance_status
date_from
date_to
buy_price
provenance_desc
post_by
post_create
edit_by
edit_datetime


I want the final result to look something like this:


Grant (2)
Legacy (5)
Gift (0)
Purchase (0)
Recompense (1)
Discovery (10)
Search (5)
Exchange (3)
Conversion (0)


The key here is I need to see a total for every category, even if that total is 0.

So if I have 20 ID or more in the cat_provenance table, do I have to write this part:

COUNT(CASE WHEN provenance.provenance_status = 1 then cat_provenance.status END) AS count1


or is there another method that I can use so I do not write that part one by one?

Hopefully, this better explains my question.
From the information provided, it sounds like you don't absolutely have to have the data in the format:

  Grant | Legacy | Gift | Purchase | ...
 -------+--------+------+----------+------
    2   |    5   |   0  |     0    | ...


If you can use the data in the format:

  Status  | Count
----------+-------
 Grant    |     2
 Legacy   |     5
 Gift     |     0
 Purchase |     0
 ...      |   ...


Then the simplest solution is to pull the data back as follows:

SELECT cat.status as `Status`, COUNT(p.id) as `Count`
  FROM cat_provenance cat
         LEFT JOIN provenance p ON (cat.ID = p.provenance_status)
 GROUP BY cat.status WITH ROLLUP


Results will look like the above. By including WITH ROLLUP, we include a row with Status NULL and Count the grand total for all categories.

  Status  | Count
----------+-------
 ...      |   ...
 NULL     |    26


Note: code untested