JBundle Thin Base Utilities Base64 Base64 Code framework in Java library optimization strategy

Optimization strategy in the Java class library: JBundle Thin Base Utilities Base64 Code framework Summary: Base64 is an encoding method for converting binary data into printed ASCII characters.The JBundle Thin Base Utilities Library provides the Base64 encoding and decoding method to process the conversion of string and file data.This article will introduce the strategy of optimizing the Base64 Code framework in the Java library and provide the corresponding Java code example. 1. Use the built -in library: The Java class library has provided the base64 encoding and decoding class, which can be used directly.For example, you can use java.util.base64 to make string coding and decoding: import java.util.Base64; public class Base64Utils { public static String encode(String str) { byte[] encodedBytes = Base64.getEncoder().encode(str.getBytes()); return new String(encodedBytes); } public static String decode(String str) { byte[] decodedBytes = Base64.getDecoder().decode(str.getBytes()); return new String(decodedBytes); } } 2. Using thread security library: When using base64 encoding and decoding in a multi -threaded environment, you can select a thread security library to avoid the problem of concurrent access.For example, you can use the Base64 in the Apache Commons Codec Library: import org.apache.commons.codec.binary.Base64; public class Base64Utils { public static String encode(String str) { byte[] encodedBytes = Base64.encodeBase64(str.getBytes()); return new String(encodedBytes); } public static String decode(String str) { byte[] decodedBytes = Base64.decodeBase64(str.getBytes()); return new String(decodedBytes); } } 3. Use cache and reuse: Base64 encoding and decoding is a computational dense operation, which may consume a lot of CPU resources.In order to improve performance, you can use the strategy of cache and reuse.For example, you can use the cache class in the Guava library to store the string that has been encoded or decoded:: import com.google.common.cache.Cache; import com.google.common.cache.CacheBuilder; import java.util.concurrent.TimeUnit; public class Base64Utils { private static final Cache<String, String> cache = CacheBuilder.newBuilder() .maximumSize(1000) .expireAfterWrite(10, TimeUnit.MINUTES) .build(); public static String encode(String str) { String encodedStr = cache.getIfPresent(str); if (encodedStr == null) { byte[] encodedBytes = Base64.getEncoder().encode(str.getBytes()); encodedStr = new String(encodedBytes); cache.put(str, encodedStr); } return encodedStr; } public static String decode(String str) { String decodedStr = cache.getIfPresent(str); if (decodedStr == null) { byte[] decodedBytes = Base64.getDecoder().decode(str.getBytes()); decodedStr = new String(decodedBytes); cache.put(str, decodedStr); } return decodedStr; } } Summary: By using the Base64 encoding and decoding function provided by the Java class library, you can optimize the BASE64 Code framework in the Java library with the use of cache and reuse strategies.This can improve performance and better process the conversion needs of string and file data. Reference link: -JAVA official document: https://docs.oracle.com/en/java/javase/11/docs/api/java.base/java/base64.html - Apache Commons Codec：https://commons.apache.org/proper/commons-codec/apidocs/org/apache/commons/codec/binary/Base64.html - Guava Cache：https://github.com/google/guava/wiki/CachesExplained