[Solved] MySQL - How to select the \"max\" of a \"count\" column for a table with millions of records?

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MySQL - How to select the \"max\" of a \"count\" column for a table with millions of records?

Database type:

I have a table called ticket_log which has millions of records in it. Each ticket log is for a ticket, so the ticket_log table has a ticket_id column. I need to find out which ticket has the maximum number of logs.

If the table had only a couple of thousand entries, then the following query would have easily worked -

select ticket_id, count(ticket_log_id) as myCount 
from ticket_log 
group by ticket_id 
order by myCount desc limit 1

However, when I try running this on a table that has millions of records in it, the query takes forever. Some optimization techniques suggest that we can add a filter of sorts to the query like where ticket_created > '2014' for example, but that is not an option.

Given this scenario, how can the query be optimized for a very large number of records?

Update: the query took slightly over an hour to run for the table with millions of records.

How to optimize this SQL query?

The following recommendations will help you in your SQL tuning process.
You'll find 3 sections below:

  1. Description of the steps you can take to speed up the query.
  2. The optimal indexes for this query, which you can copy and create in your database.
  3. An automatically re-written query you can copy and execute in your database.
The optimization process and recommendations:
  1. Create Optimal Indexes (modified query below): The recommended indexes are an integral part of this optimization effort and should be created before testing the execution duration of the optimized query.
Optimal indexes for this query:
ALTER TABLE `ticket_log` ADD INDEX `ticket_log_idx_ticket_id` (`ticket_id`);
The optimized query:
        count(ticket_log.ticket_log_id) AS myCount 
        myCount DESC LIMIT 1

Related Articles

* original question posted on StackOverflow here.