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Re: How max Innodb table data size will impact usage performance
Posted by: Rick James
Date: March 05, 2016 12:11AM

I can write a query on a 1000-row table that will take hours.

I can write a query on a billion-row table that is 'guaranteed' to take less than 100ms.

In other words, there are too many variations of schema, queries, indexes, etc, to answer your question as asked.

I don't see many billion-row tables, but they are usually designed to perform "well enough".

If you want to talk specifics, let's see a tentative SHOW CREATE TABLE. We can probably point out _likely_ flaws if it were to have 100M rows.

Example 1:
No indexes on the table.
If you don't know why that is a red flag, go back to Databases 101.

Example 2:
would raise a big reg flag in my mind. Why? Because UUIDs (GUIDs) are 36 characters and _very_ random. Very random indexes perform poorly at scale.

Example 3:
Single-column index on every column.
A common mistake of novices. It hits the same problem as Example 2.

Example 4:
No compound (composite) indexes.
Another indicator of a Novice.

Example 5:
Lots of BIGINT columns.
Do you really need to waste the space (8 bytes vs 4)? Will you really be counting higher than 4 billion?

Example 6:
Not using ENUM or TINYINT for flags and/or indexing flags.

Example 7:
Not having an explicit PRIMARY KEY on an InnoDB table.


About 9% of the tables discussed on these forums are bigger than 10 million rows. Yes, many have encountered performance problems, but many of the problems can be fixed.

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Re: How max Innodb table data size will impact usage performance
March 05, 2016 12:11AM

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