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Java development company briefs about Lazy and Eager fetch in JPA/Hibernate
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JAVA,JAVA DEVELOPMENT COMPANY,LAZY FETCH,EAGER FETCH,JPA,HIBERNET 2016-07-08 06:08:28
Simplify Cloud Data Security: A Deep Dive Into Protecting Sensitive Data in Java
Featuring encryption, anonymization, hashing, and access control Network security incidents occur now and then, mostly caused by data leakage. Data security has aroused widespread concern, and the community keeps working hard on approaches to simplify data security, especially in sensitive data protection. Sensitive data includes but is not limited to personally identifiable information (PII) like names, ID numbers, passport numbers, driver’s license numbers, contact information like addre...
JAVA,SECURITY,ENCRYPTION,DECRYPTION,TOKENIZATION 2023-04-28 21:22:10
Processing Unicode Data in Python - A Primer to Understand Non-English Data Processing
Introduction: Currently we live in a world where people of diverse cultures/backgrounds use electronic devices to express their ideas, do their daily work that earns them their daily bread, and entertain themselves using content that is created using their own language and so on. Naturally, in order to make all these things happen, any computational instrument, be it a laptop or a desktop computer, or a smartphone, or something else, should be capable enough to serve all of these things in a man...
PYTHON,UNICODE,UTF-8,NON-ENGLISH DATA,ASCII CODE 2019-04-10 00:55:19
Python Process Protection Watchdog
Project Design Purpose: During participating the cyber exercise as red team member, we found that the injected malware or attack launching program can easy be stopped by the blue team or defense program / mechanisms via killing the process / deleting the file. To address this, our project aims to develop a robust watchdog program designed to bind to target programs, diligently monitor their execution states, and ensure uninterrupted functionality. Continuous Monitoring: Establish a vigilant wa...
Cloud Computing’s most Basic Concepts-Service Models
With the containerization of Docker, Kubernetes, CNCF, and the development of open-source communities, related frameworks and technology is booming and iterating rapidly. Cloud Computing, been applied for many years, is pushing developers into the new technological era. Companies and developers who are not using or not planning to use Cloud-Native gradually feel tremendous pressure in keeping up with the technology trends. The first step is to understand the concepts of IaaS, PaaS, FaaS, SaaS, S...
Consistency between Redis Cache and SQL Database
Nowadays, Redis has become one of the most popular cache solution in the Internet industry. Although relational database systems (SQL) bring many awesome properties such as ACID, the performance of the database would degrade under high load in order to maintain these properties. In order to fix this problem, many companies & websites have decided to add a cache layer between the application layer (i.e., the backend code which handles the business logic) and the storage layer (i.e., the SQL d...
How Query Optimizer Works in RDBMS
In a previous post, we discussed how the various relational operators are implemented in relational database systems. If you have read that post, you probably still remember that there are a few alternative implementations for every operator. Thus, how should RDBMS determine which algorithm (or implementation) to use? Obviously, to optimize the performance for any query, RDBMS has to select the correct the algorithm based on the query. It would not be desirable to always use the same algori...
DATABASE,DATABASE DESIGN,DATABASE OPTIMIZATION 2019-04-20 07:26:32
MySQL Index Merge Optimization Practices
In production environment databases, it is often seen that some SQL where conditions include: equal condition on a normal index + primary key range query + order by limit Although using a normal index would be more efficient, the system chooses to use index merge instead in some cases. This article explores such index merge situations. Index Merge Official Introduction The Index Merge access method retrieves rows with multiple range scans and merges their results into one. Generall...
INDEX MERGE,MYSQL,PRIMARY INDEX,SECONDARY INDEX 2024-09-10 04:52:26
Do Not Be Misled by ‘Build an App in 5 Minutes’: In-Depth Practice with Cursor
In August this year, I tried out Cursor and was thoroughly impressed, prompting me to write an introductory article about it. Soon after, I transitioned my daily work environment entirely from GitHub Copilot + JetBrains to the paid version of Cursor. After several months of use, it has felt incredibly smooth. While using it myself, I’ve often recommended Cursor to colleagues and friends. However, many of them still have questions, such as: What advantages does it have over native ChatGPT ...
ARTIFICIAL INTELLIGENCE,GUIDE,CURSOR,CODE EDITING,WINDSURF,DISCUSSION 2024-12-17 21:30:22
When and How to Use the Go Channel
Go’s concise structure and powerful native library enable us to hit the ground running easily. It is more efficient than Java or Python when implementing the same functions, especially its concurrent programming, which is very handy and widely admired due to its goroutine and channel. goroutine and channel has much to dig into, and let’s start with channel, which I used to consider narrowly as a message queue to transfer data between gorouti...
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