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How long should MySQL queries take?
A query can take up to one hour if it crunches extremely large amount of data once every 6 months in a system where only it is running. It won’t be a problem. Another query can take 100ms only but it’s on a web server and 1000 persons are connecting simultaneously!
How do I speed up slow MySQL queries?
Tips to Improve MySQL Query Performance
- Optimize Your Database. You need to know how to design schemas to support efficient queries.
- Optimize Joins. Reduce the join statements in queries.
- Index All Columns Used in ‘where’, ‘order by’, and ‘group by’ Clauses. INDEXES.
- Use Full-Text Searches.
- MySQL Query Caching.
How can I speed up MySQL update query?
Another way to get fast updates is to delay updates and then do many updates in a row later. Performing multiple updates together is much quicker than doing one at a time if you lock the table. For a MyISAM table that uses dynamic row format, updating a row to a longer total length may split the row.
Why are my query plans taking so long?
Lacking them, the database optimizer/planner has to create a query plan that scans the entire table. While the table is not big, it is not very small either. Adding an index on (firstid, secondid) will improve performance a lot. However 300 seconds looks too long, even for a table scan, so the hardware or the DBMS settings should be examined, too.
Why is MySQL-Query taking so long to execute?
I have a query that I am trying to execute at the moment but after letting it load for a few minutes I am thinking there is probably something I am doing wrong. Here is what I am trying to execute:
What can I do to make MySQL Query faster?
To make the query faster in your case there have three things you can do. Don’t know it will help you or not but According to SQL optimizing query concepts, it must help. Create CLUSTERED INDEX for all your tables. Cluster index makes the SELECT query faster at 30:70 of ratio.
How to reduce the length of MySQL Query?
Consider switching from 8-byte DOUBLE (about 16 significant digits) to 4-byte FLOAT (about 7 significant digits) for the metrics. A 1-byte ENUM (‘put’,’call’) would save 3 bytes per row. Normalizing the Option (a long string). There may be more tips.