Optimizing Complex Rails Queries with Raw SQL
Deploying Rails applications, especially on platforms like Heroku, can sometimes reveal performance bottlenecks stemming from complex database queries. This article demonstrates how using raw SQL can significantly improve the efficiency of such queries.
Leveraging Raw SQL in Rails
Rails provides a mechanism for executing custom SQL directly. This bypasses the ActiveRecord query builder, often resulting in faster execution times. Here's the process:
ActiveRecord::Base.connection.execute
to run the query against the database.Illustrative Example
Let's examine a scenario involving joined tables and ordering:
<code class="language-ruby">@payments = PaymentDetail.joins(:project).order('payment_details.created_at desc') @payment_errors = PaymentError.joins(:project).order('payment_errors.created_at desc') @all_payments = (@payments + @payment_errors)</code>
This code joins PaymentDetail
and PaymentError
tables, ordering the results by the created_at
timestamp. The equivalent raw SQL is:
<code class="language-sql">sql = "SELECT * FROM payment_details pd LEFT JOIN projects p ON pd.project_id = p.id UNION ALL SELECT * FROM payment_errors pe LEFT JOIN projects p ON pe.project_id = p.id ORDER BY created_at DESC"</code>
Execution is then straightforward:
<code class="language-ruby">records_array = ActiveRecord::Base.connection.execute(sql)</code>
Performance Gains
Employing raw SQL eliminates the overhead of Rails' Active Record query generation, potentially leading to substantial performance improvements, especially with large datasets. The records_array
can be treated like any Ruby array, allowing for seamless integration into your application logic. This technique is particularly valuable when dealing with intricate queries prone to timeouts.
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