The performance optimization skills of the Java library verification framework
The performance optimization skills of the Java class library verification framework
Overview:
When developing the Java library, the verification framework is a common function that is used to verify the effectiveness of input parameters, form data or other data.However, verification operations may become a performance bottleneck, especially when the amount of data is large or the verification rules are complicated.This article will introduce the performance optimization skills of some Java library verification frameworks to help developers improve the efficiency of the verification framework.
1. Avoid repeated verification:
During the verification process, sometimes the same verification rules are applied to the same data many times.In order to improve performance, it can be avoided by cache verification results to avoid repeated verification.To save the verified data and results with a MAP data structure, you can immediately return the cache result when the same verification request next time, without re -verification.
The following is a simple example code, which demonstrates how to improve performance by cache verification results:
import java.util.HashMap;
import java.util.Map;
public class ValidationCache {
private static Map<String, Boolean> cache = new HashMap<>();
public static synchronized boolean isValid(String data) {
if (cache.containsKey(data)) {
return cache.get(data);
}
boolean isValid = // Perform validation logic
cache.put(data, isValid);
return isValid;
}
}
// Use examples
boolean result1 = ValidationCache.isValid("data1");
boolean result2 = ValidationCache.isValid("data2");
2. Appropriate use of regular expression:
Regular expression is a powerful tool that can be used to verify various complex data modes.However, too complicated regular expressions may lead to decline in performance.When writing verification rules, try to choose simple but effective regular expressions to avoid unnecessary complexity.
For example, if you only need to verify whether a string is a number, you can use simple regular expression `\\ d+" `.Instead of using more complicated regular expressions, such as `[0-9]+" `.
3. Use appropriate data structure:
When verifying a large amount of data, the appropriate data structure can improve performance.For example, using hashset instead of ArrayList to store verification rules can reduce the time complexity of finding and comparison.Hashset uses the spread list to find and insert operation with a constant time complexity.
The following is a sample code that uses hashSet to store verification rules and verify:
import java.util.HashSet;
import java.util.Set;
public class ValidationFramework {
private static Set<String> rules = new HashSet<>();
public static void addRule(String rule) {
rules.add(rule);
}
public static boolean isValid(String data) {
for (String rule : rules) {
if (!data.matches(rule)) {
return false;
}
}
return true;
}
}
// Use examples
ValueFramework.addrule ("\\ d+"); // Add verification rules
boolean result1 = ValidationFramework.isValid("123");
boolean result2 = ValidationFramework.isValid("abc");
in conclusion:
Optimizing the performance of the Java library verification framework is essential to improve the overall performance of the application.By avoiding repeated verification, proper use of regular expressions and selection of appropriate data structures, developers can significantly improve the efficiency of the verification framework.According to specific application needs, you can also try other performance optimization skills, such as parallel verification and delayed verification.
