ActiveRecord
Better Rails by Knowing Better Database
#activerecord
#postgresql
#ruby-on-rails
#database-performance
#data-modeling
#performance-optimization
#transactions
Better Rails by Knowing Better Database
by Ding ding YeIn the presentation titled "Better Rails by Knowing Better Database," delivered by Ding Ding Ye at Rails Pacific 2014, the speaker emphasizes the importance of understanding databases to enhance the effectiveness of Rails applications. The discussion highlights the interconnectedness of Rails and database systems, showcasing how a better grasp of database principles can lead to more efficient, reliable, and scalable applications.
Key points discussed include:
- Database Fundamentals: The speaker explains basic concepts of relational databases, including tables, relationships, and queries. Emphasizing how Rails interacts with databases, he encourages developers to have a solid foundation in these principles.
- Optimizing Queries: Ye discusses strategies for writing better queries to improve performance. This includes insights on avoiding N+1 query problems and leveraging eager loading to reduce database hits.
- Leveraging Indexes: The importance of database indexing is highlighted, explaining how it can speed up data retrieval and improve overall application responsiveness. The speaker provides examples demonstrating scenarios where indexing can significantly optimize performance.
- Understanding ActiveRecord: The presentation dives into the ActiveRecord library, detailing its role in abstracting database interactions in Rails applications. The speaker shares tips to leverage ActiveRecord effectively, including common pitfalls to avoid.
- Real-World Case Studies: Ye shares anecdotes from his experiences working with various applications, showcasing how a deeper understanding of database structures has led to improved application performance, illustrating points with concrete examples.
The conclusion drives home the message that mastering database concepts is not just beneficial, but essential for Rails developers who aim to build robust applications. By understanding the underlying data management, developers can write cleaner code and avoid many common performance issues that arise from poor database utilization.
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Hello! So, are you hungry? I have good news for you.
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After my session, you can have lunch. First, I want to thank the organizers for the conference.
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As I mentioned in yesterday's panel discussion, to become a senior developer, we need solid and broad knowledge.
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This year, Ruby on Rails has turned 10 years old and remains one of the best frameworks in the world.
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The Rails core team keeps adding new features and best practices into the framework.
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However, nowadays, there are more voices claiming that Rails is not for beginners anymore. This statement is both true and not true.
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It is true because there is so much background knowledge required besides Rails itself. It's not true because Rails has done a good job of hiding those details.
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Regardless, if we want to become senior developers or architects, we must learn those foundational concepts.
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Today's topic is about databases in Rails. Let me introduce myself.
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I'm Ding Ding Ye from mainland China. You can find me on Twitter and Facebook.
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I am the founder of a simple and productive CL tool for product teams, and I'm also the organizer of Rails China.
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We will hold the sixth Rails China conference on November 1st and 2nd, so welcome everyone!
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I also run a podcast called Tiawa, which targets engineers in China.
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Now, let’s start my topic. We all know that real-world applications are complex, especially Enterprise applications.
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Our goal is to have a low load but a low response time. This is the architecture most commonly used in real-world applications.
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We have the front-end web server handling requests from browsers or clients and then passing them to applications.
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The application server accepts these requests and interacts with the database server for data exchange.
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Many studies test where the performance bottlenecks are among these components. Based on appearances, we see that 44% of performance bottlenecks occur in the database server, 32% in the application server, 14% in the web server, and 10% on the network.
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This result suggests that nearly 76% of performance bottlenecks appear in the application and database servers.
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Identifying performance bottlenecks is crucial for optimizing application performance.
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As we can see, database performance is critical for overall application performance. There are many factors that contribute to poor database performance.
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These include inefficient SQL statements, poor data model design, inadequate database configurations, missing or inefficient indexes, inefficient data caching, and long concurrent transactions.
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To avoid these problems, let's explore some best practices.
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Every application starts with data modeling. This is the job of the database designer who transforms user requirements into application data models.
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Let's look at a simple example. Here, everyone should be familiar with this code snippet. It creates a table called 'users' with attributes such as user ID, name, email, confirmation status, and account ID.
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We define several constraints in our schema, such as 'name' should not be null, and 'confirmed' should be true by default. This ensures data integrity.
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Data integrity constraints protect against accidental damage to the database.
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For our example, we also create a primary key called 'ID' for the user table, which is an auto-incrementing field.
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The second type of constraint is 'NOT NULL' because we mark the 'name' of the user as required. The third type is 'UNIQUE' to ensure that the 'uid' field is unique across the table.
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The fourth type is the 'REFERENTIAL' constraint, ensuring that the 'account ID' of the user must also appear in the 'accounts' table.
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However, database integrity is managed within your application models rather than solely in the database itself. That's why we use validations to enforce data integrity.
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The benefit of handling validations at the application level is that we can easily customize error messages when a constraint is violated.
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Let's elaborate a bit more on referential constraints. Before we create a user record, we want to ensure that the corresponding account record exists.
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If we delete the account without any control, the user record will remain in a dirty state because it cannot find the account anymore, violating the referential constraint and causing bugs in our application.
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That’s why we use dependent options to control what happens to associated objects when the account is destroyed.
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There are several options available, such as 'delete', which destroys associated user records when the account is destroyed, or 'nullify', which sets the user’s account ID to null.
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The 'restrict' option raises an error if there are associated users when attempting to delete the account.
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Nonetheless, it is still possible to violate referential constraints if we use statements such as 'account.delete', because no callbacks will be triggered.
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If we require real foreign key support, we should use the 'foreign key' option that is included in the Rails 4.2 framework by default.
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Let’s discuss another topic: views. This is not the view in MVC but rather a database view.
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Database views are not widely used in real applications but can be very useful in certain situations.
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A view is essentially a virtual table based on the result set of a SQL query. For example, we might want to create a view to list user memberships in projects.
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This can be complex with multiple joins, but by creating a view, we simplify the query.
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In essence, by defining a view, we can streamline our database interactions, avoiding unnecessarily complex queries.
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However, remember that the view is not a real table and does not store data itself.
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Views can often be read-only and cannot be directly inserted or updated.
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Another type of view is the materialized view, which should be used when the result of a view does not change frequently.
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Materialized views will store the result in the database, allowing for faster query results at the cost of additional maintenance.
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Now, let's talk about indexing. Recall that nearly 10% of database performance problems arise from missing, ineffective, or inefficient indexes.
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Indexes are the primary mechanism to improve performance in a database.
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When working with a specific table, it’s essential to know which indexes to create and the trade-offs involved.
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Index types vary based on their algorithms, with B+ trees being the most widely used in nearly all databases.
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B+ tree structures allow efficient searching, improving retrieval times over linear scanning.
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When searching for a record, the index helps to efficiently locate the desired data without scanning every record.
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In conclusion, while indexes can significantly boost performance, they come with trade-offs regarding storage space and maintenance overhead.
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Understanding these factors will help in determining whether to create an index.
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Finally, let's discuss transactions, which are crucial for maintaining data integrity within a database.
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A transaction is a sequence of operations performed as a single logical unit of work.
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For example, in Rails, when updating a user’s name, if a validation fails, the transaction can be rolled back.
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These transactions help ensure that the database remains consistent.
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Understanding how transactions are wrapped around operations will help avoid confusion surrounding callbacks.
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The ACID properties (Atomicity, Consistency, Isolation, Durability) of transactions ensure that data integrity is maintained.
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For example, during concurrent transactions, isolation ensures that transactions do not interfere with each other.
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In practice, there are different isolation levels which determine how transactions interact.
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Understanding these isolation levels is important to prevent unexpected results.
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Transactions are a fundamental part of working with databases and knowing how they work will make you a better developer.
