Can Gorilla Mux handle route parameters with different data types? If so, how?
- No, Gorilla Mux can only handle route parameters of the same data type.
- Yes, by converting all parameters to string data type.
- Yes, by defining separate routes for each data type.
- Yes, by using regular expressions in route patterns to specify data types.
Gorilla Mux can handle route parameters with different data types by using regular expressions in route patterns. Regular expressions allow you to specify patterns that match specific data types, such as integers or strings, for route parameters. This provides flexibility in handling various types of data in your routes.
Consider a scenario where a function interacts with a database. How would you mock the database interactions for unit testing this function?
- Create a separate test database for unit testing
- Directly connect to the production database for testing
- Manually insert test data into the production database
- Use a mocking framework to simulate database responses
By using a mocking framework, you can simulate the behavior of the database interactions without actually accessing the database. This allows for controlled testing without the need for a real database connection, making tests faster and more reliable.
What does database connection pooling optimize in a Go application?
- Connection usage
- Memory usage
- Network usage
- Resource usage
Database connection pooling optimizes connection usage in a Go application. Rather than opening and closing database connections for each query, it maintains a pool of connections that can be reused, reducing the overhead of establishing new connections and improving performance.
What is the purpose of reflection in Go?
- Code optimization
- Dynamic type conversion
- Improved error handling
- Run-time introspection
Reflection in Go refers to the ability of a program to examine its own structure, particularly types. It allows for dynamic type introspection and modification at runtime. This feature is useful in scenarios such as implementing generic algorithms, serialization, and parsing.
In Go, how do you represent JSON data in your code?
- Arrays
- Maps
- Pointers
- Structs
In Go, JSON data is commonly represented using structs, where each field in the struct corresponds to a key-value pair in the JSON object.
Which tool is commonly used to measure code coverage in Go programs?
- GoCover
- GoLint
- GoTest
- GoTool
GoTest is commonly used in the Go programming language to measure code coverage. It is a built-in tool that provides functionality for writing and running test suites. By using GoTest with appropriate flags, developers can generate coverage reports that show which parts of their codebase are covered by tests. This helps ensure that critical code paths are adequately tested and can aid in identifying areas that require additional test coverage.
You're working on a legacy codebase with minimal test coverage. How would you prioritize which parts of the code to test first?
- Begin by testing modules or components that are frequently modified or have a history of bugs.
- Focus on testing modules that have complex logic or dependencies to ensure comprehensive coverage.
- Prioritize testing of critical functionalities that are prone to errors or have high impact on the application's functionality.
- Start with unit tests for small, isolated functions before moving to integration or end-to-end tests.
Prioritizing testing based on critical functionalities ensures that the most important parts of the codebase are thoroughly tested, reducing the risk of critical bugs in production. It also helps in stabilizing the application by addressing potential issues early in the development cycle.
Anonymous functions are often used in Go for _______ purposes.
- Concurrency
- Error Handling
- Looping
- Type Conversion
Anonymous functions are commonly used in Go for concurrency purposes, such as spawning goroutines and implementing callback functions.
Middleware functions in Go typically have access to both the _______ and _______ objects, allowing them to inspect and manipulate both the request and response.
- Context,
- Error,
- Request,
- Response,
Middleware functions in Go typically have access to both the request and response objects, allowing them to inspect and manipulate both the request and response. This access facilitates tasks such as authentication, logging, adding headers, modifying payloads, etc., within the middleware layer before passing the request to the main handler. It enhances flexibility and enables centralized processing of common functionalities.
Suppose you're implementing a command-line tool in Go, and you want to handle different options provided by the user. Which control structure in Go would be the most suitable choice for this scenario?
- if-else
- switch
- for-loop
- select
For handling different options provided by the user in a command-line tool implemented in Go, the switch control structure would be the most suitable choice. The switch statement allows you to evaluate multiple conditions based on the value of an expression and execute the corresponding block of code. This makes it ideal for parsing and handling command-line options efficiently. Unlike if-else statements, which can become cumbersome with multiple options, switch statements offer a cleaner and more concise syntax for managing various cases. Therefore, in this scenario, using switch ensures better readability and maintainability of the code.