High performance java persistence pdf

High-Performance Java Persistence — eBook

If you’re interested in a print copy, then check out the Paperback version on Amazon, Amazon.co.uk, Amazon.de or Amazon.fr.

This book is a journey into Java data access performance tuning. From connection management, to batch updates, fetch sizes and concurrency control mechanisms, it unravels the inner workings of the most common Java data access frameworks.

The first part aims to reduce the gap between application developers and database administrators. For this reason, it covers both JDBC and the database fundamentals that are of paramount importance when reducing transaction response times. In this first part, you’ll learn about connection management, batch updates, statement caching, result set fetching and database transactions.

The second part demonstrates how you can take advantage of JPA and Hibernate without compromising application performance. In this second part, you’ll learn about the most efficient Hibernate mappings (basic types, associations, inheritance), fetching best practices, caching and concurrency control mechanisms.

The third part is dedicated to jOOQ and its powerful type-safe querying capabilities, like window functions, common table expressions, UPSERT, stored procedures and database functions.

Created By

Vlad Mihalcea is a Java Champion and one of the top Hibernate ORM project committers. He created the Hypersistence Optimizer tool, which scans your application configuration and mappings and tells you what changes you need to make to speed up your data access layer.

He’s been answering thousands of questions about Hibernate and JPA on StackOverflow for which he’s got gold badges for Hibernate, Java, and JPA tags.

Whenever he finds something interesting, he likes to share it on his personal blog. He believes in Open Source Software, and he thinks every developer should get involved, one way or the other.

If he doesn’t find a suitable tool for a job, he takes the initiative and starts a new open source project, like Hibernate Types or FlexyPool.

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The High-Performance Java Persistence book and video course code examples

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README.md

High-Performance Java Persistence

The High-Performance Java Persistence book and video course code examples. I wrote this article about this repository since it’s one of the best way to test JDBC, JPA, Hibernate or even jOOQ code. Or, if you prefer videos, you can watch this presentation on YouTube.

Are you struggling with application performance issues?

Imagine having a tool that can automatically detect if you are using JPA and Hibernate properly. No more performance issues, no more having to spend countless hours trying to figure out why your application is barely crawling.

Imagine discovering early during the development cycle that you are using suboptimal mappings and entity relationships or that you are missing performance-related settings.

More, with Hypersistence Optimizer, you can detect all such issues during testing and make sure you don’t deploy to production a change that will affect data access layer performance.

Hypersistence Optimizer is the tool you’ve been long waiting for!

If you are interested in on-site training, I can offer you my High-Performance Java Persistence training which can be adapted to one, two or three days of sessions. For more details, check out my website.

If you want me to review your application and provide insight into how you can optimize it to run faster, then check out my consulting page.

High-Performance Java Persistence Video Courses

If you want the fastest way to learn how to speed up a Java database application, then you should definitely enroll in my High-Performance Java Persistence video courses.

High-Performance Java Persistence Book

Or, if you prefer reading books, you are going to love my High-Performance Java Persistence book as well.

All examples require at least Java 17 because of the awesome Text Blocks feature, which makes JPQL and SQL queries so much readable.

You need to use Maven 3.6.2 or newer to build the project.

On IntelliJ IDEA, the project runs just fine. You will have to make sure to select Java 17 or newer.

The project uses various database systems for integration testing, and you can configure the JDBC connection settings using the DatasourceProvider instances (e.g., PostgreSQLDataSourceProvider ).

By default, without configuring any database explicitly, HSQLDB is used for testing.

However, since some integration tests are designed to work on specific relational databases, we will need to have those databases started prior to running those tests.

Therefore, when running a DB-specific test, this GitHub repository will execute the following steps:

1. First, the test will try to find whether there’s a local RDBMS it can use to run the test.
2. If no local database is found, the integration tests will use Testcontainers to bootstrap a Docker container with the required Oracle, SQL Server, PostgreSQL, MySQL, MariaDB, YugabyteDB, or CockroachDB instance on demand.

While you don’t need to install any database manually on your local OS, this is recommended since your tests will run much faster than if they used Testcontainers.

Manual Database configuration

• PostgreSQL You can install PostgreSQL, and the password for the postgres user should be admin . Now you need to create a high_performance_java_persistence database.
• Oracle You need to download and install Oracle XE Set the sys password to admin Connect to Oracle using the «sys as sysdba» user and create a new user:

 alter session set "_ORACLE_SCRIPT"=true; create user oracle identified by admin default tablespace users; grant dba to oracle; alter system set processes=1000 scope=spfile; alter system set sessions=1000 scope=spfile; ALTER PROFILE DEFAULT LIMIT PASSWORD_LIFE_TIME UNLIMITED; 

CREATE USER 'mysql'@'localhost'; SET PASSWORD for 'mysql'@'localhost'='admin'; GRANT ALL PRIVILEGES ON high_performance_java_persistence.* TO 'mysql'@'localhost'; GRANT SELECT ON mysql.* TO 'mysql'@'localhost'; FLUSH PRIVILEGES; 

To build the project, don’t use install or package. Instead, just compile test classes like this:

mvnw clean test-compile

Or you can just run the build.bat or build.sh scripts which run the above Maven command.

Afterward, just pick one test from the IDE and run it individually.

Don’t you run all tests at once (e.g. mvn clean test ) because the test suite will take a very long time to complete.

So, run the test you are interested in individually.

Enjoy learning more about Java Persistence, Hibernate, and database systems!

About

The High-Performance Java Persistence book and video course code examples

Источник

High performance java persistence pdf

Сказка об очередной золушке.Понятная своими первыми страницами, в чём-то наивная и банальная.Похожа на книжки-малышки своим сюжетом.но есть плюс:неплохо написана и такая складная в своих событиях.На мой

Маскарад [bg]

Защо е пусната част от книгата? Наистина ли си мислите, че някой ще влезне тук за да купува ?

Детские игрушки — куклы

Продолжаем слушать книги серии «Технология среди нас» с четвертой части, так как третья не прошла цензуры. Коротко, что было в третьей: команда разработчиков вложила сексуальные предпочтения в по моделей и

От судьбы не убежать (СИ)

Больница в Гоблинском переулке

Очень милая история. Динамичная, насыщенная и захватывающая, а местами несколько жёсткая. Героиня немножко напрягала в конце своих поступком, но с какой-то стороны её можно понять. PS. На данный

Разрыв не по шаблону

Книга не для легкого чтения,треть книжки точно.Книжка в основном понравилась,не смотря на встречающиеся ляпы и некоторую шаблонность автора в своих сюжетах.В этой книжке у меня нет ярко выраженных

Сказка для дочери (СИ)

Грустная приятная история.(Рада за одного из главных героев у него семья, но жаль дружбу они НЕ сохранили не смогли, хотя все зависило только от них видно НЕ ЗАХОТЕЛИ)что ж — семья это правильно.(Жаль только,

High-Performance Java Persistence

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Аннотация

A high-performance data access layer must resonate with the underlying database system. Knowing the inner workings of a relational database and the data access frameworks in use can make the difference between a high-performance enterprise application and one that barely crawls.
This book is a journey into Java data access performance tuning. From connection management, to batch updates, fetch sizes and concurrency control mechanisms, it unravels the inner workings of the most common Java data access frameworks.
The first part aims to reduce the gap between application developers and database administrators. For this reason, it covers both JDBC and the database fundamentals that are of paramount importance when reducing transaction response times. In this first part, you’ll learn about connection management, batch updates, statement caching, result set fetching and database transactions.
The second part demonstrates how you can take advantage of JPA and Hibernate without compromising application performance. In this second part, you’ll learn about the most efficient Hibernate mappings (basic types, associations, inheritance), fetching best practices, caching and concurrency control mechanisms.
The third part is dedicated to jOOQ and its powerful type-safe querying capabilities, like window functions, common table expressions, UPSERT, stored procedures and database functions.

Источник

High-Performance Java Persistence: Get the most out of your persistence layer

Update 2020-06-09
A high-performance data access layer must resonate with the underlying database system. Knowing the inner workings of a relational database and the data access frameworks in use can make the difference between a high-performance enterprise application and one that barely crawls.
This book is a journey into Java data access performance tuning. From connection management, to batch updates, fetch sizes and concurrency control mechanisms, it unravels the inner workings of the most common Java data access frameworks.
The first part aims to reduce the gap between application developers and database administrators. For this reason, it covers both JDBC and the database fundamentals that are of paramount importance when reducing transaction response times. In this first part, you’ll learn about connection management, batch updates, statement caching, result set fetching and database transactions.
The second part demonstrates how you can take advantage of JPA and Hibernate without compromising application performance. In this second part, you’ll learn about the most efficient Hibernate mappings (basic types, associations, inheritance), fetching best practices, caching and concurrency control mechanisms.
The third part is dedicated to jOOQ and its powerful type-safe querying capabilities, like window functions, common table expressions, UPSERT, stored procedures and database functions.

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Источник