


What is the difference between JSON serialization and JDK serialization in storage?
Apr 19, 2025 pm 05:33 PMJSON serialization and JDK serialization: storage space difference analysis
This article discusses the differences in data storage between two common methods: JSON serialization and JDK serialization. In storage systems such as Redis, choosing the right serialization method is crucial because it directly affects storage efficiency and space usage.
background:
During the process of learning Redis, the author found that JSON serialization is usually more efficient and takes up less space than JDK serialization. However, when studying OAuth2 in the Pig framework, it was found that its token token is serialized using JDK, which triggered in-depth thinking on the efficiency differences between the two serialization methods. In actual tests, after the same data is serialized using JSON, the storage space is much larger than that of JDK serialization (JDK version 17). After further testing different types of data, it was found that JSON serialization took up less space in some cases. This shows that the efficiency difference between JSON and JDK serialization is not absolute, but is closely related to the data type.
Test method:
To verify this conclusion, the following test was designed: JSON and JDK serialization were performed using RedisTemplate
, and the storage space size was compared. The test code snippet is as follows:
// ... (Omit some code, including dependency injection and ObjectMapper initialization) ... @Test void testRedisSerialization() throws JsonProcessingException { ComplexObject complexObject = createComplexObject(); // Create the test object redisTemplate.opsForValue().set("json:test", complexObject); // JSON serialization redisTemplate.setValueSerializer(RedisSerializer.java()); // JDK serialization redisTemplate.opsForValue().set("jdk:test", complexObject); // ... (Compare storage space size) ... } // ... (Omit the ComplexObject class definition and createComplexObject method) ...
analyze:
JSON serialization is based on text and has high storage efficiency of character data, but non-character data such as numbers and booleans take up more space in JSON. The JSON format is well readable and portable, but its textual properties cause the spatial overhead to be greater than binary serialization.
JDK serialization is binary serialization, which contains metadata such as the data itself and type information. Therefore, in some cases, the spatial efficiency is not much higher than other binary serialization methods. But for binary data, JDK serialization saves more space. However, the data serialized by JDK can only be read by Java programs, which lacks readability and editability.
in conclusion:
The advantages and disadvantages of JSON and JDK serialization depend on the specific application scenario and data type. JSON is more suitable for character-type data, while JDK serialization is more efficient when processing binary data. When choosing a serialization method, you need to weigh factors such as space occupation, readability, portability and compatibility based on actual needs.
The above is the detailed content of What is the difference between JSON serialization and JDK serialization in storage?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

To develop a complete Python Web application, follow these steps: 1. Choose the appropriate framework, such as Django or Flask. 2. Integrate databases and use ORMs such as SQLAlchemy. 3. Design the front-end and use Vue or React. 4. Perform the test, use pytest or unittest. 5. Deploy applications, use Docker and platforms such as Heroku or AWS. Through these steps, powerful and efficient web applications can be built.

Avoiding SQL injection in PHP can be done by: 1. Use parameterized queries (PreparedStatements), as shown in the PDO example. 2. Use ORM libraries, such as Doctrine or Eloquent, to automatically handle SQL injection. 3. Verify and filter user input to prevent other attack types.

The garbled problem in Java Chinese is mainly caused by inconsistent character encoding. The repair method includes ensuring the consistency of the system encoding and correctly handling encoding conversion. 1.Use UTF-8 encoding uniformly from files to databases and programs. 2. Clearly specify the encoding when reading the file, such as using BufferedReader and InputStreamReader. 3. Set the database character set, such as MySQL using the ALTERDATABASE statement. 4. Set Content-Type to text/html;charset=UTF-8 in HTTP requests and responses. 5. Pay attention to encoding consistency, conversion and debugging skills to ensure the correct processing of data.

For good reason, Blockdag focuses on buyer interests. Blockdag has raised an astonishing $265 million in 28 batches of its pre-sales As 2025 approaches, investors are steadily accumulating high-potential crypto projects. Whether it’s low-cost pre-sale coins that offer a lot of upside, or a blue chip network that prepares for critical upgrades, this moment provides a unique entry point. From fast scalability to flexible modular blockchain architecture, these four outstanding names have attracted attention throughout the market. Analysts and early adopters are watching closely, calling them the best crypto coins to buy short-term gains and long-term value now. 1. BlockDag (BDAG): 7 days left

Linux system restricts user resources through the ulimit command to prevent excessive use of resources. 1.ulimit is a built-in shell command that can limit the number of file descriptors (-n), memory size (-v), thread count (-u), etc., which are divided into soft limit (current effective value) and hard limit (maximum upper limit). 2. Use the ulimit command directly for temporary modification, such as ulimit-n2048, but it is only valid for the current session. 3. For permanent effect, you need to modify /etc/security/limits.conf and PAM configuration files, and add sessionrequiredpam_limits.so. 4. The systemd service needs to set Lim in the unit file

Custom Laravel user authentication logic can be implemented through the following steps: 1. Add additional verification conditions when logging in, such as mailbox verification. 2. Create a custom Guard class and expand the authentication process. Custom authentication logic requires a deep understanding of Laravel's authentication system and pay attention to security, performance and maintenance.

ServiceWorker implements offline caching by intercepting network requests and providing pre-cache resources. The specific steps include: 1) Register ServiceWorker and check browser support; 2) Define cache policies and pre-cache resources in the sw.js file; 3) Pre-cache resources using install event and decide to obtain resources from the cache or network in the fetch event; 4) Pay attention to version control, cache policy selection and debugging skills; 5) Optimize cache size, process dynamic content, and ensure that scripts are loaded through HTTPS.

Deploying and tuning Jenkins on Debian is a process involving multiple steps, including installation, configuration, plug-in management, and performance optimization. Here is a detailed guide to help you achieve efficient Jenkins deployment. Installing Jenkins First, make sure your system has a Java environment installed. Jenkins requires a Java runtime environment (JRE) to run properly. sudoaptupdatesudoaptininstallopenjdk-11-jdk Verify that Java installation is successful: java-version Next, add J
