Why are joins bad when considering scalability?

Question

Why are joins bad or \'slow\'. I know i heard this more then once. I found this quote

The problem is joins are relatively slow, especially over very

Answer 1

People with terrabyte sized databases still use joins, if they can get them to work performance-wise then so can you.

There are many reasons not to denomalize. First, speed of select queries is not the only or even main concern with databases. Integrity of the data is the first concern. If you denormalize then you have to put into place techniques to keep the data denormalized as the parent data changes. So suppose you take to storing the client name in all tables instead of joining to the client table on the client_Id. Now when the name of the client changes (100% chance some of the names of clients will change over time), now you need to update all the child records to reflect that change. If you do this wil a cascade update and you have a million child records, how fast do you suppose that is going to be and how many users are going to suffer locking issues and delays in their work while it happens? Further most people who denormalize because "joins are slow" don't know enough about databases to properly make sure their data integrity is protected and often end up with databases that have unuseable data becasue the integrity is so bad.

Denormalization is a complex process that requires an thorough understanding of database performance and integrity if it is to be done correctly. Do not attempt to denormalize unless you have such expertise on staff.

Joins are quite fast enough if you do several things. First use a suggorgate key, an int join is almost alawys the fastest join. Second always index the foreign key. Use derived tables or join conditions to create a smaller dataset to filter on. If you have a large very complex database, then hire a professional database person with experience in partioning and managing huge databases. There are plenty of techniques to improve performance without getting rid of joins.

If you just need query capability, then yes you can design a datawarehouse which can be denormalized and is populated through an ETL tool (optimized for speed) not user data entry.