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Kevin Murphy for The Gnar Company

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EXPLAIN Like I'm Five: Five ways to run EXPLAIN on your Rails database queries

EXPLAINing Myself

Running EXPLAIN to show the execution plan for different database queries can help you understand why the performance of a particular database interaction is the way it is, and how you might be able to improve it. The purpose of this post is not to interpret and understand the results of an execution plan. Rather, we'll learn five different ways you can get this information from your Rails app.

Some of these examples are PostgreSQL-specific.

1. ActiveRecord's explain Method

Rails already has the explain method built into ActiveRecord for you to use. You can add explain to any ActiveRecord relation, and you'll receive the
execution plan.

> User.where(email: "").explain
=> EXPLAIN for: SELECT "users".* FROM "users" WHERE "users"."email" = $1 [["email", ""]]
                      QUERY PLAN
 Seq Scan on users  (cost=0.00..2.71 rows=1 width=340)
   Filter: ((email)::text = ''::text)
(2 rows)
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This gives us a great starting point, and works across various databases. However, if you want some additional features, like running EXPLAIN ANALYZE, you'll need to look elsewhere.

2. Interpolating a Query in an ActiveRecord Connection

You can fall back to creating your own SQL statement and passing that into ActiveRecord's execute method. However, you probably don't want to go through the error-prone and arduous effort of hand-writing the SQL query you just wrote using ActiveRecord's syntax.

Luckily, you don't have to! You can convert your ActiveRecord query to a string with .to_sql, and add that into a string you provide to execute:

> ActiveRecord::Base.connection.execute("EXPLAIN #{User.where(email: "").to_sql}").values
=> [["Seq Scan on users  (cost=0.00..2.71 rows=1 width=340)"], ["  Filter: ((email)::text = ''::text)"]]
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This itself isn't much of a win at all over using ActiveRecord's explain method. It's longer, you've got to remember to grab the values from the execute results, and the output isn't as nicely formatted. However, because this is "just SQL" that you're running in execute, you can use any features your database engine of choice provides, like EXPLAIN ANALYZE:

> ActiveRecord::Base.connection.execute("EXPLAIN ANALYZE #{User.where(email: "").to_sql}").values
=> [["Seq Scan on users  (cost=0.00..2.71 rows=1 width=340) (actual time=0.184..0.233 rows=0 loops=1)"],
 ["  Filter: ((email)::text = ''::text)"],
 ["  Rows Removed by Filter: 57"],
 ["Planning time: 0.185 ms"],
 ["Execution time: 0.472 ms"]]
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Thanks to Mark Lodato for this recommendation.

3. The activerecord-explain-analyze Gem

If you're willing to take on a dependency to get some additional explanatory power, are using ActiveRecord 4 through 6, and use PostgresSQL, then you can reach for the activerecord-explain-analyze gem.

Now you can specify the output formatting of your EXPLAIN results, and call EXPLAIN ANALYZE:

> User.where(email: "").explain(analyze: true)
=> EXPLAIN for: SELECT "users".* FROM "users" WHERE "users"."email" = $1
Seq Scan on public.users  (cost=0.00..2.71 rows=1 width=340) (actual time=0.120..0.128 rows=0 loops=1)
  Output: id, email, sign_in_count, current_sign_in_at, last_sign_in_at, current_sign_in_ip, last_sign_in_ip, created_at, updated_at, time_zone, first_name, last_name, role, applicant_id, centrify_uuid, display_name, uuid, login_authorized, invite_id, legacy_identifier, disabled_at, invite_sent_at, password_last_changed_at, deprovisioning_reason
  Filter: (( = ''::text)
  Rows Removed by Filter: 57
  Buffers: shared hit=2
Planning time: 0.277 ms
Execution time: 0.183 ms
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4. The pg-eyeballs Gem

pg-eyeballs is another gem that's PostgreSQL-specific, and provides additional functionality that ActiveRecord's explain method does not currently.

Our sought-after EXPLAIN ANALYZE is one of many options you can request:

> User.where(email: "").eyeballs.explain(options: [:analyze])
=> ["Seq Scan on users  (cost=0.00..2.71 rows=1 width=340) (actual time=0.028..0.036 rows=0 loops=1)\n  Filter: ((email)::text = ''::text)\n  Rows Removed by Filter: 57\nPlanning time: 0.087 ms\nExecution time: 0.084 ms"]
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5. Terminal CLI of Your Database

All of these prior examples have been run from within a Rails process such as the Rails console. However, we can skip Rails entirely and use our database directly. In our case with PostgreSQL, we can use psql.

# psql -U postgres
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After connecting, we can list which databases exist with \l.

postgres=# \l
                                              List of databases
                Name                 |  Owner   | Encoding |  Collate   |   Ctype    |   Access privileges
 example_app_development             | postgres | UTF8     | en_US.utf8 | en_US.utf8 |

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After finding the correct database, we can connect to it with \c.

postgres=# \c example_app_development
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And then we can run any query we would like, including EXPLAIN:

example_app_development=# EXPLAIN SELECT * FROM USERS WHERE EMAIL = '';
                      QUERY PLAN
 Seq Scan on users  (cost=0.00..2.71 rows=1 width=340)
   Filter: ((email)::text = ''::text)
(2 rows)
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Again, we have all the features available to us that our database engine supports, so we can use EXPLAIN ANALYZE or any other functionality, without needing it to be built into Rails. This gives us all the power our database provides, but we lose the expressiveness of ActiveRecord's query API - or
rather, we need to find the .to_sql representation of the query we're interested in prior to using this.

EXPLAINing Which to Use

If you're interested in quickly getting an execution plan of an existing ActiveRecord query, start with using ActiveRecord's explain method.

Should you need more functionality that your database engine provides, you can execute any query you would like to your database through ActiveRecord.

If you need that additional functionality, such as EXPLAIN ANALYZE, on a regular basis, consider taking on an additional dependency that'll provide that for you, such as activerecord-explain-analyze or pg-eyeballs.

Don't forget you can go directly to your database without using Rails as an intermediary.

I hope this has EXPLAINed a thing or two (or five) about ways to gather performance information for your queries. Once you decide which method is right for you, good luck optimizing!

This post originally published on The Gnar Company blog.

Learn more about how The Gnar builds Ruby on Rails applications.

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