<h2>Overview</h2>
ActiveRecordTracer is an invaluable tool for developers working with Active Record in Ruby on Rails applications. If you've ever found your application slowing down due to excessive queries or loaded records, this gem could be a game changer. It provides a simplified way to identify the most costly queries and the records that are being loaded frequently, thus allowing for more efficient performance tuning of your application.
With its straightforward installation and flexible reporting capabilities, ActiveRecordTracer is designed to help you pinpoint bottlenecks and optimize your database interactions effectively. Whether you're tracing queries during development or analyzing test runs, this tool makes the process easier and more comprehensive.
<h2>Features</h2>
<ul>
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Compatibility: Requires Ruby 3.1+ and Active Record 7.1+, ensuring modern development environments are supported.
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Easy Installation: Simply add it to your Gemfile and execute a few commands to get started.
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Start/Stop API: Utilize the .start/.stop methods for precise control over when to monitor your queries, allowing for tailored reports.
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Customizable Reports: Generate reports with options to limit maximum entries displayed, adjust backtrace lines, and choose whether to ignore cached or schema queries.
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Detailed Logging Options: The pretty_print method offers enhancements for logging, including options to specify file paths and detail levels for output.
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Testing Support: Easily integrate with Minitest for tracing during test runs, helping maintain performance standards in your applications.
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Open Source: Released under the MIT License, inviting community contributions and modifications to enhance its functionality.
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</ul>
ActiveRecordTracer is a must-have for developers serious about optimizing the performance of their Rails applications.

<h2>Overview</h2>
ColumnsTrace is a versatile tool designed to help Rails developers improve database query efficiency by detecting unnecessary selected columns in controllers, ActiveJob, and Sidekiq jobs. By integrating this gem into your application, you can automatically trace column usage and root out inefficiencies, ensuring that your applications run smoothly and efficiently. With support for modern versions of Ruby and Rails, ColumnsTrace is an essential addition for developers looking to optimize their database interactions.
By utilizing ColumnsTrace, you can easily monitor database performance and optimize your code with minimal effort, helping you to maintain high performance in your applications. The following features make it a powerful ally in your development toolkit.
<h2>Features</h2>
<ul>
<li>Database Column Detection: Automatically detects and reports unnecessary selected database columns in Rails controllers and jobs, allowing developers to streamline their queries.</li>
<li>Compatibility: Supports Ruby 2.7+ and Rails 6.0+, ensuring modern development practices can be easily integrated.</li>
<li>Custom Reporting: Allows for the creation of custom reporters for logging column usage in a way that suits your application's needs.</li>
<li>ActiveJob and Sidekiq Support: Offers the option to enable Sidekiq integration to monitor background jobs effectively.</li>
<li>Manual Code Tracing: Provides the ability to wrap specific code with <code>ColumnsTrace.report</code> for granular column usage tracking in custom code.</li>
<li>Easy Installation: Simple installation process via Gemfile and straightforward usage instructions to get started quickly.</li>
<li>Open Source Access: Available under the MIT License, allowing developers to contribute and participate in its development.</li>
<li>Active Development: Encourages contributions and feedback from the community, ensuring continuous improvement and updates.</li>
</ul>

<h2>Overview:</h2>
FastCount is a remarkable gem designed for those working with large databases, particularly PostgreSQL, MySQL, MariaDB, and SQLite. It tackles the common problem of obtaining quick row counts in large tables, which can often take an excruciatingly long time. With its impressive ability to provide nearly accurate counts in seconds, it streamlines the process significantly for developers and database administrators, allowing them to make informed decisions without the wait. The functionalities extend beyond just counting rows; they also provide distinct count capabilities and estimations that are vital for efficient database management.
<h2>Features:</h2>
<ul>
<li>Speed: FastCount dramatically reduces the time needed for accurate counts in large tables, providing results in fractions of a second compared to traditional methods.</li>
<li>High Accuracy: Achieves over 99% accuracy in row counts, making it a reliable tool for quick estimates, especially on large datasets.</li>
<li>Multi-Database Support: Works seamlessly with PostgreSQL, MySQL, MariaDB, and SQLite, making it versatile for different database environments.</li>
<li>Estimated Count Functionality: Offers an estimated count feature that utilizes internal statistics for fast approximations, ideal for very large tables.</li>
<li>Exact Distinct Count: Utilizes "Loose Index Scan" techniques to provide fast distinct value counts, outperforming standard COUNT(DISTINCT) queries.</li>
<li>Configuration Options: Users can override default settings, allowing for custom configurations tailored to specific project needs.</li>
<li>Easy Installation: FastCount can be effortlessly added to Ruby applications through a simple Gemfile entry and supports quick setup via built-in commands.</li>
<li>Community Driven: Built on ideas from the quick_count gem, welcoming contributions and improvements from the developer community.</li>
</ul>

<h2>Overview</h2>
OnlineMigrations is a powerful tool designed to enhance the safety of PostgreSQL migrations during the development phase while providing a seamless transition to production environments. With its functionality, developers can easily identify potentially dangerous migration operations that could lead to application errors or long blocking times, and it provides guidance on safer execution methods. This gem is particularly useful in larger projects where the stakes are higher, offering a reliable way to navigate the complexities of database migrations.
The motivation behind OnlineMigrations stems from the inherent dangers involved in writing migrations, as even experienced developers struggle with the intricacies of database locking and potential issues that arise from unsafe operations. With OnlineMigrations, developers can mitigate these risks by being alerted to dangerous actions and provided with helpful instructions and helpers to execute their migrations safely.
<h2>Features</h2>
<ul>
<li>Danger Detection: Automatically identifies and flags potentially dangerous migration operations that could lead to significant application issues.</li>
<li>Preventative Measures: By default, it prevents unsafe migrations from running, ensuring that developers can avoid critical pitfalls.</li>
<li>Guidance and Helpers: Offers detailed instructions and assistance on safer ways to perform migrations, simplifying the process for developers even with less experience in PostgreSQL.</li>
<li>Custom Checks: Allows users to add or disable specific checks tailored to their project's needs, providing flexibility in migration management.</li>
<li>Compatibility: Requires Ruby 3.1+, Rails 7.1+, and PostgreSQL 12+, accommodating older versions for legacy projects.</li>
<li>Background Migration Support: Designed to work smoothly with background data and schema migrations, adding robustness to migration processes.</li>
<li>Error Messaging: When encountering a potentially dangerous migration, the tool displays relevant error messages, guiding developers on next steps to ensure safety.</li>
</ul>

<h2>Overview</h2>
If you're working with large datasets in Ruby on Rails, chances are you've experienced the challenges of processing records efficiently. Enter the "PluckInBatches" gem — a powerful tool designed to enhance ActiveRecord's capabilities for batch processing. By leveraging ActiveRecord's existing find and pluck methods, this gem enables seamless retrieval of specific fields without the need to load entire records into memory. Ideal for optimizing performance, it allows you to handle large data efficiently, making it a game-changer for developers focused on enhancing application responsiveness.
With performance improvements that can be up to twice as fast as traditional methods, PluckInBatches is a must-have for developers dealing with extensive databases. Its intelligent handling of SQL queries and memory allocation makes it an essential addition to any Ruby on Rails project, particularly those on Ruby 2.7 and above with ActiveRecord 6 or greater.
<h2>Features</h2>
<ul>
<li>Efficient Batch Processing: Utilizes pluck_each and pluck_in_batches methods, significantly improving memory usage and speed compared to traditional methods.</li>
<li>Fewer SQL Queries: Performs half the number of SQL queries needed, optimizing database interactions.</li>
<li>Customizable Batch Size: Set your own batch size with the option to specify it, defaulting to 1000 for convenience.</li>
<li>Flexible Starting and Ending Points: Easily define start and finish values for primary keys, allowing for targeted data retrieval.</li>
<li>Error Handling Options: Customize error handling with the ability to ignore errors based on application configurations.</li>
<li>Orderable Columns: Specify cursor columns for iteration which should be orderable, ensuring predictable data processing.</li>
<li>Support for Various Ruby and ActiveRecord Versions: Compatible with Ruby 2.7+ and ActiveRecord 6+, catering to modern development needs while offering support for older versions upon request.</li>
</ul>

<h2>Overview</h2>
Iteration is an innovative extension for Sidekiq that enhances long-running jobs by making them interruptible and resumable. Designed for high availability, it ensures that progress is saved at various checkpoints during execution, effectively preventing data loss when jobs are interrupted or need to be restarted. This is particularly useful in environments with large datasets, where jobs can take an inordinate amount of time to complete, especially as the number of records grows exponentially.
With the unpredictability of cloud environments, having a solution that minimizes the risk of losing job progress is essential. Iteration addresses this issue head-on, allowing developers to focus on building robust applications without the constant worry of job reliability.
<h2>Features</h2>
<ul>
<li>Checkpointing Capability: Save progress throughout the job, enabling resumable execution when interrupted.</li>
<li>Seamless Integration: Hooks directly into Sidekiq with no need for extra configuration, making it easy to incorporate into existing workflows.</li>
<li>Efficient Iteration: Utilize <code>build_enumerator</code> and <code>each_iteration</code> methods to streamline the processing of records in large datasets.</li>
<li>Custom Lifecycle Callbacks: Offers the flexibility to define behaviors for various stages of job processing, enhancing control over job executions.</li>
<li>Memory Optimization: Reduces memory usage and request overhead by managing job executions as one single job rather than numerous smaller ones.</li>
<li>Graceful Interruption Handling: Designed to handle infrastructure interruptions smoothly, reducing the risk of job failures in unpredictable cloud settings.</li>
<li>Enhanced Monitoring: Simplifies Sidekiq monitoring by maintaining a predictable number of jobs, making it easier to navigate and manage in the web UI.</li>
<li>Easy Job Management: Facilitates stopping, pausing, or deleting individual jobs quickly when necessary, thereby improving responsiveness in critical situations.</li>
</ul>

Fatkodima

Active_record_tracer

Columns_trace

Fast_count

Online_migrations

Pluck_in_batches

Sidekiq Iteration