- MySQL Performance: Identifying Long Queries
- MySQL Performance: MyISAM vs InnoDB
- MySQL Performance: How To Leverage MySQL Database Indexing
- MySQL Performance: MySQL vs. MariaDB
- MySQL Performance: Converting MySQL to MariaDB
- MySQL System Config & Routine Maintenance
- MySQL Performance: InnoDB Buffers & Directives
- MySQL Performance: MyISAM
- MySQL Performance: MySQL/MariaDB Indexes
- MySQL Performance: Intro to JOINS in SQL
Throughout this tutorial, we will cover some of the fundamentals of indexing. As part of the MySQL series, we will introduce capabilities of MySQL indexing and the role it plays in optimizing database performance. Liquid Web recommends consulting with a DBA before making any changes to your production level application.
What is Indexing?
Indexing is a powerful structure in MySQL which can be leveraged to get the fastest response times from common queries. MySQL queries achieve efficiency by generating a smaller table, called an index, from a specified column or set of columns. These columns, called a key, can be used to enforce uniqueness. Below is a simple visualization of an example index using two columns as a key.
| ROW | COLUMN_1 | COLUMN_2 |
| 1 | data1 | data2 |
| 2 | data1 | data1 |
| 3 | data1 | data1 |
| 4 | data1 | data1 |
| 5 | data1 | data1 |
Queries utilize indexes to identify and retrieve the targeted data, even if they are a combination of keys. Without an index, running that same query results in an inspection of every row for the needed data. Indexing produces a shortcut, with much faster query times on expansive tables. A textbooks analogy may provide another common way to visualize how indexes function.
When to Enable Indexing?
Indexing is only advantageous for huge tables with regularly accessed information. For instance, to continue with our textbook analogy, it makes little sense to index a children’s storybook with only a dozen pages. It’s more efficient to simply read the book to find each occurrence of the word “turtle” than it would be to set up and maintain indexes, query for those indexes, and then review each page provided. In the computing world, those extra tasks surrounding indexing represent wasted resources which would be better purposed by not indexing.
Without indexes, when tables grow to enormous proportions, response times suffer from queries targeting those obtuse tables. Inefficient queries manifest into latency within application or website performance. We commonly identify this latency by using the MySQL slow query log feature. You can find more details about using the slow query log feature in the first article in this series: MySQL Performance: Identifying Long Queries.
Once a colossal table hits its tipping point, it reaches the potential for downtime for applications and websites. Conducting routine evaluations for growing database establishes optimal database performance and sidesteps long queries’ inherent interruptions.
MySQL Indexing Pros vs. Cons
There are benefits and downsides to using MySQL indexing, and we’ll discuss the significant pros and cons for your consideration. These aspects will guide you to decide whether indexing is an appropriate choice for your situation.
What Information Does One Index?
Selecting what to index is probably the most challenging part to indexing your databases. Determining what is important enough to index and what is benign enough to not index. Generally speaking, indexing works best on those columns that are the subject of the WHERE clauses in your commonly executed queries. Consider the following simplified table:
ID, TITLE, LAST_NAME, FIRST_NAME, MAIDEN_NAME, DOB, GENDER, AGE, DESCRIPTION, HISTORY, ETC...
If your queries rely on testing the WHERE clause using LAST_NAME and FIRST_NAME then indexing by these two columns would significantly increase query response times. Alternately, if your queries rely on a simple ID lookup, indexing by ID would be the better choice.
These examples are merely a rudimentary example, and there are several types of indexing structures built-in to MySQL. The following MySQL page discusses these types of indexes in greater detail, and a recommended read for anyone considering indexing: How MySQL Uses Indexes
What is a Unique Index?
Another point for consideration when evaluating which columns to serve as the key in your index is whether to use the UNIQUE constraint. Setting the UNIQUE constraint will enforce uniqueness based on the configured indexing key. As with any key, this can be a single column or a concatenation of multiple columns. The function of this constraint ensures that there are no duplicate entries in the table based on the configured key.
What is a Primary Key Index?
As commonly invoked as the UNIQUE constraint the PRIMARY KEY is used to optimize indexes. This constraint ensures that the designated PRIMARY KEY cannot be of a null value. As a result, a performance boost occurs when running on an InnoDB storage engine for the table in question. This boost is due to how InnoDB physically stores data, placing null valued rows in the key out of contiguous sequence with rows that have values. Enabling this constraint ensures the rows of the table are kept in contiguous order for quicker responses.
Now we will cover some of the basics of manipulating indexes using MySQL syntax. In examples, we will include the creation, deletion, and listing of indexes. Keep in mind, these examples have placeholder entries for the specific keywords. These keywords are self-explanatory by nature for easy reading, and below is an outline of them.
Tables can have multiple indexes. Managing indexes will inevitably require being able to list the existing indexes on a table. The syntax for viewing an index is below.
SHOW INDEX FROM tableName;
Index creation has a simple syntax. The difficulty is in determining what columns need indexing and whether enforcing uniqueness is necessary. Below we will illustrate how to create indexes with and without a PRIMARY KEY and UNIQUE constraints.
As previously mentioned, tables can have multiple indexes. Multiple indexing is useful for creating indexes attuned to the queries required by your application or website. The default settings allow for up to 16 indexes per table, increase this number but is generally more than is necessary. Indexes can be created during a table’s creation or added on to the table as additional indexes later on. We will go over both methods below.
Example: Create a Table with a Standard Index
CREATE TABLE tableName (
INDEX ( ID )
Example: Create a Table with Unique Index & Primary Key
CREATE TABLE tableName (
PRIMARY KEY (ID),
UNIQUE INDEX ( ID )
Example: Add an Index to Existing Table
CREATE INDEX indexName ON tableName (ID, LName, FName, LOC);
Example: Add an Index to Existing Table with Primary Key
CREATE UNIQUE INDEX indexName ON tableName (ID, LName, FName, LOC);
While managing indexes, you may find it necessary to remove some. Deleting indexes is also a very simple process, see the example below:
DROP INDEX indexName ON tableName;
There are many ways to optimize your database for true efficiency. If you would like to learn more or convert the search engines types available in MySQL read through our MyISAM vs. InnoDB tutorial. Or if you are need of high functioning databases check out our MySQL product page to view different options.