Strategies to Boost Java Code Efficiency:
Better Ways to Speed up Your Java Code
In the whirlwind of Java development, it's vital to optimize the performance of your code to meet performance expectations. Here are 12 valuable tips you can apply to achieve this feat, enhancing your code quality and maintaining an efficient application.
- Compact Methods
Long methods are a maintenance headache and also negatively impact performance. Strive to create methods that focus on performing single functions. This approach is beneficial for both code maintainability and performance, as the methods will be faster to load and execute.
- Simplify Conditional Statements
Overuse of multiple statements can drain your application's resources. JVM has to compare numerous conditions, and this can become a bottleneck when coupled with looping statements like , , etc. Instead, group conditions and obtain a boolean outcome, which can be used in the statement to simplify the code. To increase performance further, consider utilizing a statement where possible.
- Pre-calculate Collection Size
While iterating through a collection, always pre-calculate its size before the iteration. Getting the size of the collection during iteration can lead to inefficiencies in the process.
- Avoid String Concatenation
Strings are immutable objects, which means multiple objects are created when you use the operator for concatenation, especially in complex SQL queries. To prevent this, use or . The former is preferred because of its performance advantage due to non-synchronized methods.
- Opt for Primitive Types
Primitive types store data on stack memory, while Java objects are stored on heap memory. Whenever possible, employ primitive types instead of objects, as data access from stack memory is faster than heap memory.
- Curb BigDecimal Usage
While BigDecimal provides accurate precision for decimal values, its overuse can significantly harm performance, especially in loops. If precision isn't critical, consider using long or double data types with proper casting instead.
- Spare Big Objects' Creation
Objects such as DB connection objects, system configuration objects, and session objects for logged-in users consume plenty of resources. Be mindful of their creation to avoid performance bottlenecks. Whenever possible, reuse these objects instead of creating them multiple times. Utilize the Singleton pattern or object cloning to achieve this.
- Embrace Stored Procedures
Rather than writing complex queries, it's better to write stored procedures and call them while processing. Stored procedures are stored as objects in the database and pre-compiled, leading to faster execution compared to query execution within applications.
- Optimize SQL Statements
Utilize prepared statements instead of statements for parameterized query execution, as the former is compiled once and can be executed multiple times, while the latter is compiled and executed every time it's called. Prepared statements also help prevent SQL injection attacks.
- Moderate Logging
Logging is an essential part of any application. However, unnecessary logging and incorrect log levels can impact performance. Avoid logging big objects and restrict logs to specific parameters that need monitoring. For non-critical information, consider setting log levels to higher values like , , and .
- Optimize SELECT Queries
In database queries, select only the necessary columns. Overselecting columns can lead to slower query execution and increased network traffic between the database and application.
- Streamline Joins
When querying multiple tables, ensure that the joins are properly implemented. Improper joins can cause delays in query execution, leading to performance degradation. If possible, avoid subqueries and create indexes on frequently used table columns for better query execution performance.
For continued growth in your Java development journey, consider enrolling in the self-paced course "Java Programming Foundation" on the platform ****. Gain insight into core Java concepts, working with data structures, operators, functions, loops, and more. Elevate your Java skills and start delivering performance-optimized code with these tips and best practices!
Resources:
- Optimizing Java applications
- Top 10 Java Performance Best Practices
- Java Garbage Collector Guide: Z GC
- Spring Boot Performance Optimization
- Java Best Practices
In the process of optimizing Java code performance, consider using primitive types instead of objects as data access from stack memory is faster than heap memory. Furthermore, original Java technology such as stack and heap can aid in understanding the memory allocation mechanism in Java, which can help in optimizing code performance more effectively.
