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Hibernate 2nd Quarter 🌜🌛 2022

ORM | Google vs. Oracle | Code with Me | Signal | Impfzertifikate | Apple Find My | Hibernate | JDBC | Retool | ProductShot

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Esta pergunta lendária é recorrente até hoje, neste vídeo eu apresento o meu ponto de vista sobre o tema explicando as situações que eu não considero aplicável este tipo e framework.

We are skipping a new HWYRT episode this week, as we are busy preparing our third anniversary show! However, over the summer, Bryan and Peter released five episodes of Thought Platform, their new conversation podcast. Here’s the first episode, Nature, for your listening pleasure. Please check out all the other episodes exclusively at RadioPublic:  

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In this episode, Kito, Danno, and Ian discuss their key areas of focus for the New Year, as well as naming for EE4J and Java EE, plus Polymer, PrimeNG, Bootstrap, Arquillian, Hibernate, Spring Cloud, Docker, Machine Learning, adoption of Agile practices, and more.

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• Response from Oracle

EE4J: Current Status and What’s Next

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Hibernate Picked as Project of the Month on Sourceforge

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In our last Hibernate lesson, you learned how to fix duplicate data from hibernate queries.

In this lesson we’re going to focus on some of theaggregate functions that can be used with Hibernate, and of course that means diving into theGroup By clause.

What’s important to note is that Hibernate doesn’t ever refer to it as group by, instead they use the term projections.

So, armed with this knowledge, let’s jump into the lesson!

Grouping Data with Hibernate

In our examples, I’m going to show you how to create a query with hibernate that will group your data in some manner.

When we build our query, we will be focusing on using Hibernate’s Criteria queries, which allows for a nice way to build queries without having to know any SQL.

First, let’s start off with an example that we will build on.

...continue reading.

In our last Hibernate lesson, you learned how to fix duplicate data from hibernate queries.

In this lesson we’re going to focus on some of theaggregate functions that can be used with Hibernate, and of course that means diving into theGroup By clause.

What’s important to note is that Hibernate doesn’t ever refer to it as group by, instead they use the term projections.

So, armed with this knowledge, let’s jump into the lesson!

Grouping Data with Hibernate

In our examples, I’m going to show you how to create a query with hibernate that will group your data in some manner.

When we build our query, we will be focusing on using Hibernate’s Criteria queries, which allows for a nice way to build queries without having to know any SQL.

First, let’s start off with an example that we will build on.

...continue reading.

In our last Hibernate lesson, you learned how to fix duplicate data from hibernate queries.

In this lesson we’re going to focus on some of theaggregate functions that can be used with Hibernate, and of course that means diving into theGroup By clause.

What’s important to note is that Hibernate doesn’t ever refer to it as group by, instead they use the term projections.

So, armed with this knowledge, let’s jump into the lesson!

Grouping Data with Hibernate

In our examples, I’m going to show you how to create a query with hibernate that will group your data in some manner.

When we build our query, we will be focusing on using Hibernate’s Criteria queries, which allows for a nice way to build queries without having to know any SQL.

First, let’s start off with an example that we will build on.

...continue reading.

How to Fix Duplicate Data from Hibernate Queries

This problem was the bane of my existence when I first started using Hibernate because I had no idea where the problem was coming from.

If you’re executing a query and finding that you have a bunch of duplicate records and haven’t a clue why, then you’re in the right place.

You see the problem is typically caused by having left joins (or optional joins) in your objects. When you have a base object, like say User and it joins to another table/object in an optional One-to-Many or optional Many-to-Many format, then you may get duplicates.

Consider this scenario… A User objects joins to the LoginHistory object, which keeps track of all the times a particularUser has logged into the system. And let’s say our user has logged in many times. You’ll have a situation where you have many records in the LoginHistory table.

So what happens when you run a query that joins to the LoginHistory table? Well it will return as many rows as there are entries for that User in the LoginHistory table.

So because of this, Hibernate doesn’t massage the data for you, it just returns exactly what it got from the database. The ball is in your court to tell Hibernate what to do with records it has retrieved.

There are two solutions to this problem:

1. Declare your joining object as a Set
2. Make use of Distinct Root Entity Results Transformer

Click Here to Keep Reading

How to Fix Duplicate Data from Hibernate Queries

This problem was the bane of my existence when I first started using Hibernate because I had no idea where the problem was coming from.

If you’re executing a query and finding that you have a bunch of duplicate records and haven’t a clue why, then you’re in the right place.

You see the problem is typically caused by having left joins (or optional joins) in your objects. When you have a base object, like say User and it joins to another table/object in an optional One-to-Many or optional Many-to-Many format, then you may get duplicates.

Consider this scenario… A User objects joins to the LoginHistory object, which keeps track of all the times a particularUser has logged into the system. And let’s say our user has logged in many times. You’ll have a situation where you have many records in the LoginHistory table.

So what happens when you run a query that joins to the LoginHistory table? Well it will return as many rows as there are entries for that User in the LoginHistory table.

So because of this, Hibernate doesn’t massage the data for you, it just returns exactly what it got from the database. The ball is in your court to tell Hibernate what to do with records it has retrieved.

There are two solutions to this problem:

1. Declare your joining object as a Set
2. Make use of Distinct Root Entity Results Transformer

Click Here to Keep Reading

How to Fix Duplicate Data from Hibernate Queries

This problem was the bane of my existence when I first started using Hibernate because I had no idea where the problem was coming from.

If you’re executing a query and finding that you have a bunch of duplicate records and haven’t a clue why, then you’re in the right place.

You see the problem is typically caused by having left joins (or optional joins) in your objects. When you have a base object, like say User and it joins to another table/object in an optional One-to-Many or optional Many-to-Many format, then you may get duplicates.

Consider this scenario… A User objects joins to the LoginHistory object, which keeps track of all the times a particularUser has logged into the system. And let’s say our user has logged in many times. You’ll have a situation where you have many records in the LoginHistory table.

So what happens when you run a query that joins to the LoginHistory table? Well it will return as many rows as there are entries for that User in the LoginHistory table.

So because of this, Hibernate doesn’t massage the data for you, it just returns exactly what it got from the database. The ball is in your court to tell Hibernate what to do with records it has retrieved.

There are two solutions to this problem:

1. Declare your joining object as a Set
2. Make use of Distinct Root Entity Results Transformer

Click Here to Keep Reading

Now it’s time to dive into the nitty gritty of Hibernate’s mysterious inner workings.

I’m by no means an expert in Hibernate, but I do use it almost every day for my own projects, so I do know a thing or two about how it works.

One topic that had me scratching my head for ages was the Hibernate life cycle. What I mean by the life cycle is the way Hibernate interacts with Java objects at certain points in the existence of said Java objects.

Let’s start from the beginning…

What the heck is a Hibernate Life Cycle?

You see, Hibernate is picky about your Java objects. Hibernate prefers your objects to be in a certain “state”, known as the persistent state… this persistent state is one of four different states that exist inside of the hibernate persistence life cycle.

Once you have a firm grasp of the different states that an object can be in (as it pertains to Hibernate) you’ll be well on your way to mastering the Hibernate framework.

So let’s get this Hibernate persistence life cycle lesson started shall we?

Continue reading via: http://howtoprogramwithjava.com/session58

Now it’s time to dive into the nitty gritty of Hibernate’s mysterious inner workings.

I’m by no means an expert in Hibernate, but I do use it almost every day for my own projects, so I do know a thing or two about how it works.

One topic that had me scratching my head for ages was the Hibernate life cycle. What I mean by the life cycle is the way Hibernate interacts with Java objects at certain points in the existence of said Java objects.

Let’s start from the beginning…

What the heck is a Hibernate Life Cycle?

You see, Hibernate is picky about your Java objects. Hibernate prefers your objects to be in a certain “state”, known as the persistent state… this persistent state is one of four different states that exist inside of the hibernate persistence life cycle.

Once you have a firm grasp of the different states that an object can be in (as it pertains to Hibernate) you’ll be well on your way to mastering the Hibernate framework.

So let’s get this Hibernate persistence life cycle lesson started shall we?

Continue reading via: http://howtoprogramwithjava.com/session58

Now it’s time to dive into the nitty gritty of Hibernate’s mysterious inner workings.

I’m by no means an expert in Hibernate, but I do use it almost every day for my own projects, so I do know a thing or two about how it works.

One topic that had me scratching my head for ages was the Hibernate life cycle. What I mean by the life cycle is the way Hibernate interacts with Java objects at certain points in the existence of said Java objects.

Let’s start from the beginning…

What the heck is a Hibernate Life Cycle?

You see, Hibernate is picky about your Java objects. Hibernate prefers your objects to be in a certain “state”, known as the persistent state… this persistent state is one of four different states that exist inside of the hibernate persistence life cycle.

Once you have a firm grasp of the different states that an object can be in (as it pertains to Hibernate) you’ll be well on your way to mastering the Hibernate framework.

So let’s get this Hibernate persistence life cycle lesson started shall we?

Continue reading via: http://howtoprogramwithjava.com/session58

What the heck is a Fetch Type?

Great question! Hibernate is a very handy framework for removing your need to fully understand SQL, but it will force you to understand things such as joins.

Joining two tables in SQL is the foundation of a relational database, as joins allow you to actually define relationships between tables (objects).

Having said that, relationships are important to understand when talking about fetch types in Hibernate. This is the case because whenever you define a relationship in Hibernate, you’ll also need to define the fetch type. The fetch type essentially decides whether or not to load all of the relationships of a particular object/table as soon as the object/table is initially fetched.

For more information please see the show notes via http://howtoprogramwithjava.com/session57

What the heck is a Fetch Type?

Great question! Hibernate is a very handy framework for removing your need to fully understand SQL, but it will force you to understand things such as joins.

Joining two tables in SQL is the foundation of a relational database, as joins allow you to actually define relationships between tables (objects).

Having said that, relationships are important to understand when talking about fetch types in Hibernate. This is the case because whenever you define a relationship in Hibernate, you’ll also need to define the fetch type. The fetch type essentially decides whether or not to load all of the relationships of a particular object/table as soon as the object/table is initially fetched.

For more information please see the show notes via http://howtoprogramwithjava.com/session57

What the heck is a Fetch Type?

Great question! Hibernate is a very handy framework for removing your need to fully understand SQL, but it will force you to understand things such as joins.

Joining two tables in SQL is the foundation of a relational database, as joins allow you to actually define relationships between tables (objects).

Having said that, relationships are important to understand when talking about fetch types in Hibernate. This is the case because whenever you define a relationship in Hibernate, you’ll also need to define the fetch type. The fetch type essentially decides whether or not to load all of the relationships of a particular object/table as soon as the object/table is initially fetched.

For more information please see the show notes via http://howtoprogramwithjava.com/session57