Why is mysql query so slow with many joins?

Why is mysql query so slow with many joins?

Please see comments within the query. If it helps, this is using the WordPress DB schema. Your performance issue is most likely caused by the join with the ‘term_taxonomy’ table. All other joins seems to use the primary key (where you probobly have working indexes on).

How to identify performance issues with MySQL queries?

Schema Analyzer – Analyzes your database schemas for missing primary keys, redundant indexes and tables using the MyISAM storage engine. Transaction Log – Lists out long-running transactions and deadlocks across database cluster where you can easily view what transactions are causing the deadlocks.

What to do when SQL query joins multiple tables?

Create an index on these tables or define the joined field as a PRIMARY KEY. As i can see, t1 table is the one which is being joined with all the tables, instead of putting them in a single query with so many joins, you can possibly try a Union of different queries something like this.

Can a 10 second query cause performance degradation?

The slow queries definition might differ in different cases since there are certain occasions that even a 10 second query is acceptable and still not slow. However, if your application is an OLTP, it’s very common that a 10 second or even a 5 second query is an issue or causes performance degradation to your database.

How to improve query speed with many joins?

Make Sure all the columns on which there is “ON” conditional statements is there, should be indexed. This will significantly improve the speed. If you still find that your query is slow then add the EXPLAIN plan of my query so I can find which columns needs INDEX.

How long does it take to join a table in SQL?

After joining 12 tables, there was no significant change in query execution time. By the time I had joined the 13th table the execution time jumped to a 1 second; 14th table 4 seconds, 15th table 20 s, 16th 90 seconds. Keijro’s suggestion to use a correlated subqueries instead of joins e.g.