Is it possible to speed up a sum() in MySQL?

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I'm doing a "select sum(foo) from bar" query on a MySQL database that's summing up 7.3mm records and taking about 22 seconds per run. Is there a trick to speeding up sums in MySQL?

No, you can't speed up the function itself. The problem here is really that you're selecting 7.3 million records. MySQL has to scan the entire table, and 7.3 million is a pretty big number. I'm impressed that it finishes that fast, actually.

A strategy you could employ would be to break your data into smaller subsets (perhaps by date? Month?) and maintain a total sum for old data that's not going to change. You could periodically update the sum, and the overall value could be calculated by adding the sum, and any new data that's been added since then, which will be a much smaller number of rows.

Mysql select sum() performance Solutions, Can someone tell me how to get sum to calculate faster? If I use SUM() is takes about 5 seconds, whereas if I use count(*) it's instant. The problem is that my� Find Information Related to How Do I Speed Up My Computer. Search For How Do I Speed Up My Computer & Get Fantastic Results

Turn on QUERY CACHE in mysql. Caching is OFF by default. You need to set mysql ini file.

-- hint mysql server about caching
SELECT SQL_CACHE sum(foo) FROM bar;

MySQL optimizer may be able to return a cache if no changes were made to the table.

Read more here: http://www.mysqlperformanceblog.com/2006/07/27/mysql-query-cache/

Is it possible to speed up a sum() in MySQL?, Is it possible to speed up a sum() in MySQL? H_Developer Apr 1, 2019 457 0. No , you can't speed up the function itself. The problem here is really that you're� GigaPromo is the website to compare Speed Up My Website. Search and save now!

Two things here:

1) You should not do sum for 7.3m records on regular basis - introduce staging tables serving business needs (by day, month, year, department, etc.) and fill them on scheduled basis, possibly reuse those tables instead of original 'raw' table (like select summarized value for each day when you need few days interval, etc.)

2) check your transaction settings

http://dev.mysql.com/doc/refman/5.0/en/set-transaction.html#isolevel_repeatable-read

Speed up GROUP BY queries with subselects in MySQL, To speed up MySQL queries, you can add GROUP BY to group only the set and then it will start to cluster it, executing the sum and the average functions. We can't avoid the group by over the 1.3M rows, but we are able to� Speed Up My Website! Find Related Articles on Visymo Search

No, not really. It will always have to enumerate all the rows in the table.

You could create a additional table and update the sum in there on every insert, update, delete?

Improving performance for sum and group by with large datasets , The big issue is "inflation-deflation" when you do JOIN + GROUP BY . Think of what JOIN does -- it generates an intermediate table with teams * types/team� "Boost" Speeds Instantly With Any of the Top 10 PC Boosters Listed Here. Try it Now! Read the Ratings & Compare Top 10 PC Cleaners. You Won't Believe Who's on Top for 2020.

You can probably try adding an index on bar.foo field. The index will contain all values of bar column, but is smaller thus quicker to scan than the original foo table, especially if foo has a lot of other columns.

How can I make CASE WHEN query faster?, An even better solution is to add to a Summary Table every month. This would speed the 'report' up -- perhaps to well under 1 second. Also, something needs to � Is it possible to speed up a sum() in MySQL? H_Developer Apr 1, 2019 444 0 No, you can't speed up the function itself. The problem here is really that you're selecting 7.3 million records.

4. Query Performance Optimization, Selection from High Performance MySQL, 2nd Edition [Book] needs to do: the server can finish and clean up the query as quickly as possible. And here is another that's equivalent, but instead of using SUM() uses COUNT()� MySQL indexes may take up more space and decrease performance on inserts, deletes, and updates. However, if your table has more than 10 rows, they can considerably reduce select query execution time.

4. Optimizing Schema and Data Types, For example, a denormalized schema can speed up some types of queries However, if you're planning to index columns, avoid making them nullable if possible. MySQL provides the FROM_UNIXTIME() and UNIX_TIMESTAMP() functions The same technique works for other aggregate functions, such as SUM() and� If you use the SUM() function in a SELECT statement that returns no row, the SUM() function returns NULL, not zero. The DISTINCT option instructs the SUM() function to calculate the sum of only distinct values in a set. The SUM() function ignores the NULL values in the calculation. MySQL SUM() function illustration. First, create a new table named sum_demo:

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Comments
  • It is possible in other databases though; ex. Oracle, MS SQL,
  • Will the cached-value get updated when a value of foo gets updated? Or will MySQL just re-sum the entire table again next time this query is run?
  • @BlueRaja-DannyPflughoeft the cache will be cleared and it will re-sum the whole table.
  • The query cache is deprecated as of MySQL 5.7.20, and is removed in MySQL 8.0. dev.mysql.com/doc/refman/5.7/en/query-cache-configuration.html
  • fixed mistake in referring to the column. should be bar.foo, not foo.bar. thanks to @harry-b
  • May-be this answer is unrelated to exact question asked, but really often culprit for performance problems are JOINS. You should always keep in mind, that MySQL don't have any magic mechanism to optimize joins!