mysqldatabasedatabase-optimization

How to optimize this query? Slow query


Hi I am Trying to Optimize this Query. If there are a lot of transactions in the timeframe it can take up to 10 Seconds to execute on my local environment. I tried to create a Index on the created_at column but it doesn't solve the issue if there are a lot of rows in the table (my table has only 4m rows). Can someone recommend some optimization tips?

select 
   count(*) as total,
   trader_id 
from 
  (select * 
   from `transactions`
   where `created_at` >= '2018-05-04 10:54:00'
   order by `id` desc)
  as `transactions`
 where
   `transactions`.`market_item_id` = 1
    and `transactions`.`market_item_id` is not null
    and `gift` = 0
 group by `trader_id`;

Edit:

id  select_type table   partitions  type    possible_keys   key key_len ref rows    filtered    Extra

1   SIMPLE  transactions    NULL    range   transactions_market_item_id_foreign,transactions_trader_id_foreign,transactions_created_at_index    transactions_created_at_index   5   NULL    107666  2.41    Using index condition; Using where; Using MRR; Using temporary; Using filesort

Solution

  • Delete the (unnecessary) inner query:

    select 
      count(*) as total,
      trader_id 
    from transactions
    where created_at >= '2018-05-04 10:54:00'
    and market_item_id = 1
    and gift = 0
    group by trader_id
    

    Notes: