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Query statistics in MySQL

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Important statistics collected for the executed query, including time, temporary tables, indexes, joins, etc., are collected in the "Query Statistics SQL Editor Results" tab (see the following two images).

Require

  • Enable queries and collect performance schema statistics.

  • performance_schema Statement detection enabled.

SQL Editor: Query Statistics

MySQL 中的查询统计

Visual Interpretation Plan

The Visual Explanation feature creates and presents a visual description of a MySQL EXPLAIN statement by leveraging additional data contained in the enhanced JSON format. All EXPLAIN formats, including standard format, raw extended JSON, and visual query plans, can be used to execute queries in MySQL Workbench.

Intuitive demonstration of use

Execute the query in the SQL Editor and select Execution Procedure from the query results menu to receive a visual description of the execution plan. In addition to the default visual explain view, the execution plan also contains a tabular explain view, similar to what you see when you run EXPLAIN in the MySQL client. For more information about how MySQL executes statements, see Optimizing Queries Using EXPLAIN.

Visual explanation convention

Visual explanation diagrams should be read from bottom to top, left to right. An overview of the graphical, textual, and informational conventions used to represent the various elements of a visual interpretation plan is given in the diagram example below. For more details, see -

  • Graphics Standard

  • Information and text conventions

Visual explanation of the first graph The graph provides a visual description of the following query.

select  * FROM employee_table

Visual explanation example

MySQL 中的查询统计

Graphic convention

  • Standard box: table

  • Rounded corner box: GROUP and SORT operations

  • Frame Box: Subquery

  • Diamond: Connection

Text and information conventions

  • Standard text below box: Table (or alias) name

  • Bold text below
  • box: Key/index used

  • The number in the upper right corner of the box: the number of rows used in the filtered table

  • The number in the upper left corner of the box: the relative cost of accessing the table (requires MySQL 5.7 or higher)

  • The number on the right side of the nested loop (or hash join) diamond: the number of rows generated by the JOIN

  • Number above diamond: relative cost of JOIN (requires MySQL 5.7 or higher)

The following table shows the relevant colors and descriptions used in visual interpretation diagrams. For more information about cost estimates, see Optimizer Cost Model.

Visual explanation chart information

system name

color

Text on visualization chart

Tooltip related information

system

blue

Single line: system constant

The cost is very low

constant

blue

Single line: constant

The cost is very low

EQ_REF

green

Unique key lookup

Low Cost - The optimizer is able to find an index that can be used to retrieve the required records. It's fast because the index search points directly to the page containing all rows of data

refer to

green

Non-unique key lookup

Low-Medium -- Low if there are fewer matching rows; higher as the number of rows increases

full text

yellow

Full text index search

Dedicated full-text search. Low - for this specialized search requirement

REF_OR_NULL

green

Search by key to get NULL value

Low-medium - if the number of matched rows is small; higher as the number of rows increases

INDEX_MERGE

green

Index merge

Medium - Looking for better index choices in queries to improve performance

UNIQUE_SUBQUERY

orange color

Unique key lookup in subquery table

Low -- for efficient subquery processing

INDEX_SUBQUERY

orange color

Non-unique key lookup in subquery table

Low -- for efficient subquery processing

scope

orange color

Index range scan

Medium -- Partial index scan

index

red

Full index scan

High - especially for large indexes

all

red

Full table scan

Very High - Very high cost for large tables, but less impact for small tables. No free index is found for the table, forcing the optimizer to search every row. It may also mean that the search is too broad and the index will be useless.

unknown

black

unknown

Note: This is the default value in case a match cannot be determined

in conclusion

In this article, we learned how to get query statistics in MySQL Workbench and what different characteristics it has at the same time.

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