Cristi Boboc’s Post

Database testing is one of the areas that might have the smaller number of open source tools. The programming languages have many xUnit tools and mocking frameworks, but this is not the case for databases. This article provides a list of open source tools that can be used to perform unit, load and security testing on several relational (MySQL, Oracle, SQLServer, etc.) and NoSQL databases.

#4: Hibernate Integration "Integrating Hibernate with Spring Boot makes database interactions smoother. Mapping entities to tables has never been easier! 😎 #SpringBoot #Hibernate" Reading: https://hibernate.org/orm/ https://lnkd.in/dtc9Bp7e

Stored Procedures: • A stored procedure is a prepared SQL code that can be saved, so the code can be reused over and over again. • So if there is an SQL query that will have to be written over and over again, save it as a stored procedure, and then just call it to execute it. • Parameters can also be passed to a stored procedure, so that the stored procedure can act based on the parameter value(s) that is passed • A procedure can be thought of as a function or a method. • They can be invoked through triggers, other procedures, or applications on Java, PHP etc. • All the statements of a block are passed to Oracle engine all at once which increases processing speed and decreases the traffic. • Syntax: 1. create or replace procedure "INSERTUSER"     2. (id IN NUMBER,     3. name IN VARCHAR2     4. is     5. begin     6. insert into user values(id,name);     7. end;     8. / Stored Procedures -Advantages : • Better Performance : The procedure calls are quick and efficient as stored procedures are compiled once and stored in executable form. • Hence the response is quick. • The executable code is automatically cached, hence lowers the memory requirements. • Higher Productivity : Since the same piece of code is used again and again so, it results in higher productivity. • Ease of Use : To create a stored procedure, one can use any Java Integrated Development Environment (IDE). • Then, they can be deployed on any tier of network architecture

How to Identify and Optimize Slow SQL Queries If you are a developer who doesn’t use database ORMs like Hibernate that much, you are no stranger to the concept of SQL query optimization. As developers, we know that a slow SQL query can reduce our application's efficiency and performance, leaving our users with a bad experience. In this post, we want to share our experience and offer insights using real-life examples on how to identify and optimize slow SQL queries, especially when working with relational database management systems like PostgreSQL, MySQL, MSSQL, Oracle, etc. https://hubs.li/Q02mxtn-0 #continuousfeedback #kotlin #java #springboot

It's easy to connect to a Dolt database from Java applications via JDBC. The JDBC API gives you a standard interface for executing SQL queries and reading results from a Dolt SQL server. Our blog by Jason Fulghum walks through a sample project. https://lnkd.in/enfhGNUH

JPA, hibernate has become the standard framework whenever there is database persistence work required. However, be careful if you want to persist large data from CSV files into the database using spring boot. Note that jpa hibernate entities have a full entity lifecycle management and it may not be necessary for the sake of inserting large data into relational databases. Plain old jdbc connection is far less complicated and extremely fast for persistence. Remember, the latest framework doesn't always mean the best framework

"Hey everyone! 📢 I’ve just wrapped up implementing CRUD functionalities with Hibernate ORM and MySQL, which is a foundational aspect for managing data in any robust application" Here’s a glimpse of the key concepts used: POJO Class: Created a POJO Class Called "Student.java" which contains getters and setter methods and attributes This class directly creates the table in MySQL called student_table. Core Hibernate Components: 1.Configuration-used to configure any xml resource 2.Session Factory-responsible for the creation of Session objects 3.Session-used to get the database connection 4.Transaction-used to begin and commit the transaction 5.Query-used to create queries to store data 6.Criteria-- used to implement HCQL Annotations used: 1.@Entity-represents table in database 2.@Table-to mention the table name(course_table) 3.@Id-represents primary key 4.@Column- used to mention column name, length Hibernate Configuration: hibernate.cfg.xml: This file is responsible for setting up Hibernate and defining the database connection parameters. Driver Class for connecting to MySQL Connection URL : Where my database exists A heartfelt thanks to Jonnalagadda Surya Kiran sir for his outstanding guidance and support during this learning journey. Your mentorship has been instrumental in developing my skills and expertise in these areas! hashtag #JavaDevelopment #HibernateORM #CRUDImplementation #JavaPersistence #FullStackJourney #MySQL

My friend Kunal Srivastava asked: "How can we save the data permanently in H2 after the server stops?" In my previous post, we discussed how to set up an H2 database in Spring Boot, but the data was being lost every time the server stopped. Now, I've found a way to save the data permanently in H2 even after the server restarts! previous post - https://lnkd.in/gEsAAJHG 🎯 Here's how I did it: In the application.properties file, I changed the datasource URL from the default in-memory option to a file-based approach. This points H2 to a local file on the disk where it stores the data. I also ensured that Hibernate was set up to handle schema updates without dropping the table structure by adding: spring.jpa.hibernate.ddl-auto=update Finally, I included the required dependencies in the pom.xml: Now, after I stop the server, the data is stored safely, and once the server is up again, the data is restored automatically! 🚀 🔧 Taking it Further with Other Databases H2 is great for development, but when working on production-level applications, we often switch to databases like MySQL, PostgreSQL, or SQL Server. Here are a few steps on how you can configure those databases in Spring Boot: To use MySQL, PostgreSQL, or SQL Server, we simply update the application.properties file to point to the respective database instance. Additionally, we add the corresponding database driver to pom.xml based on the chosen database (MySQL, PostgreSQL, SQL Server, etc.).

🚀🚀I have Successfully Completed CRUDOperations in Hibernate using MySQL database🚀🚀 I have taken Employee as POJO Class. In this I have implemented ADD(); ,UPDATE(); ,DELETE(); ,View by ID(); methods. Annotations @Entity - it will represent table in the database. @TABLE - it is used to give name for table. @ID - it is a Primary key. @Column - it is used to specify the Name, Length, Nullable, Unique. ✨✨Special thanks to my mentor Jonnalagadda Surya Kiran Sir for his his Excellent Guidance and Support.✨✨ #Maven #Hibernate #ORM

This week I started a Springboot Technology project to get some repetition working with REST API's. A REST API is a collection of URL's that perform operations. For example; "myapp.com/readnotes" where readnotes is where the server fetches the list of notes. We refer to these as REST endpoints, HTTP methods are what we use as users requesting data from the server. The 4 most common HTTP methods: GET: fetch from server POST: Create on server PUT: Update on server DELETE: Delete from server The goal of making a REST API is to make the collection of URL's available on the internet for the public to be able to access (REST API's are language and platform independent). I am using: **Spring Boot (dependencies): 1. Spring Data JPA 2. Spring Boot DevTools 3. Lambok 4. MySQL Driver 5. Validation **MySQL DBA UK server and workbench **Maven web dependencies You can follow my progress on this build on GitHub: https://lnkd.in/eSVWvfkQ