Mohamed Sanaulla - Java 11 Cookbook
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- Book:Java 11 Cookbook
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- Year:2018
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Java 11 Cookbook: summary, description and annotation
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Solutions for modular, functional, reactive, GUI, network, and multithreaded programming
Key Features- Explore the latest features of Java 11 to implement efficient and reliable code
- Develop memory-efficient applications, understanding new garbage collection in Java 11
- Create restful webservices and microservices with Spring boot 2 and Docker
For more than three decades, Java has been on the forefront of developing robust software that has helped versatile businesses meet their requirements. Being one of the most widely used programming languages in history, its imperative for Java developers to discover effective ways of using it in order to take full advantage of the power of the latest Java features. Java 11 Cookbook offers a range of software development solutions with simple and straightforward Java 11 code examples to help you build a modern software system.
Starting with the installation of Java, each recipe addresses various problem by explaining the solution and offering insights into how it works. Youll explore the new features added to Java 11 that will make your application modular, secure, and fast. The book contains recipes on functional programming, GUI programming, concurrent programming, and database programming in Java. Youll also be taken through the new features introduced in JDK 18.3 and 18.9.
By the end of this book, youll be equipped with the skills required to write robust, scalable, and optimal Java code effectively.
What you will learn- Set up JDK and understand whats new in the JDK 11 installation
- Implement object-oriented designs using classes and interfaces
- Manage operating system processes
- Create a modular application with clear dependencies
- Build graphical user interfaces using JavaFX
- Use the new HTTP Client API
- Explore the new diagnostic features in Java 11
- Discover how to use the new JShell REPL tool
The book is for intermediate-to-advanced Java programmers who want to make their applications fast, secure, and scalable.
Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.
Mohamed Sanaulla: author's other books
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Another important property of a transaction is the transaction isolation level. It defines the boundaries between database users. For example, can other users see your database changes before they are committed? The higher the isolation (the highest is serializable), the more time it takes a transaction to complete in the case of concurrent access to the same records. The less restrictive the isolation (the least restrictive is read uncommitted), the dirtier the data is, which means that other users can get the values you have not committed yet (and are maybe never going to commit).
Usually, it is enough to use the default level, which is typically TRANSACTION_READ_COMMITTED, although it may be different for different databases. JDBC allows you to get the current transaction isolation level by calling the method getTransactionIsolation() on the Connection object. The method setTransactionIsolation() of the Connection object allows you to set any isolation level as needed.
In the case of complex decision-making logic about which changes need to be committed and which need to be rolled back, one can use two other Connection methods to create and delete savepoints. The setSavepoint(String savepointName) method creates a new savepoint and returns a Savepoint object, which can later be used to roll back all the changes up to this point using the rollback (Savepoint savepoint) method. A savepoint can be deleted by calling releaseSavepoint(Savepoint savepoint).
The most complex types of database transactions are distributed transactions. They are sometimes called global transactions, XA transactions, or JTA transactions (the latter is a Java API that consists of two Java packages, namely javax.transaction and javax.transaction.xa). They allow for the creation and execution of a transaction that spans operations across two different databases. Providing a detailed overview of distributed transactions is outside the scope of this book.
In this recipe, you will learn how to use the fork/join framework for the divide-and-conquer computation pattern.
- Add a new DB add-on to the application:
Here, addons:create takes the add-on name and the service plan name, both separated by a colon (:). You can learn more about the add-on details and plans at https://elements.heroku.com/addons/jawsdb-maria. Also, the Heroku CLI command to add the add-on to your application is given toward the end of the add-on details page for all add-ons.
- Open the DB dashboard to view the connection details, such as URL, username, password, and the database name:
The jawsdb dashboard looks something similar to the following:
- You can even get the MySQL connection string from the JAWSDB_URL configuration property. You can list the configuration for your app by using the following command:
=== rest-demo-on-cloud Config Vars
JAWSDB_URL:
- Copy the connection details, create a new connection in MySQL Workbench, and connect to this connection. The database name is also created by the add-on. Run the following SQL statements after connecting to the database:
create table person(
id int not null auto_increment,
first_name varchar(255),
last_name varchar(255),
place varchar(255),
primary key(id)
);
INSERT INTO person(first_name, last_name, place)
VALUES('Heroku First', 'Heroku Last', 'USA');
INSERT INTO person(first_name, last_name, place)
VALUES('Jaws First', 'Jaws Last', 'UK');
- Create a new properties file for the Heroku profile, application-heroku.properties, at src/main/resources, with the following properties:
:3306/x81mhi5jwesjewjg?useSSL=false
spring.datasource.username = zzu08pc38j33h89q
spring.datasource.password =
You can find the connection-related details in the add-on dashboard.
- Update the src/main/resources/application.properties file to replace the value of the spring.profiles.active property to heroku.
- Commit and push the changes to the Heroku remote:
$ git push heroku master
- Once the deployment succeeds, run the heroku open command. Once the page loads in the browser, click on the Persons link. This time, you will see a different set of data, the one we entered in our Heroku add-on:
{
"id":1,
"firstName":"Heroku First",
"lastName":"Heroku Last",
"place":"USA"
},
{
"id":2,
"firstName":"Jaws First",
"lastName":"Jaws Last",
"place":"UK"
}
]
With this, we have integrated with a database that we created in Heroku.
In this book, you will find several headings that appear frequently (Getting ready, How to do it..., How it works..., There's more..., and See also). To give clear instructions on how to complete a recipe, use these sections as follows:
- Follow steps 1 and 2 of the Installing JDK 18.9 on Windows and setting up the PATH variable recipe to reach the downloads page.
- Copy the download link (tar.gz) for the JDK for the Linux x64 platform from the downloads page.
- Download the JDK by using $> wget , for example, $> wget https://download.java.net/java/early_access/jdk11/26/BCL/jdk-11-ea+26_linux-x64_bin.tar.gz.
- Once the download completes, you should have the relevant JDK available, for example, jdk-11-ea+26_linux-x64_bin.tar.gz. You can list the contents by using $> tar -tf jdk-11-ea+26_linux-x64_bin.tar.gz. You can even pipe it to more to paginate the output: $> tar -tf jdk-11-ea+26_linux-x64_bin.tar.gz | more.
- Extract the contents of the tar.gz file under /usr/lib by using $> tar -xvzf jdk-11-ea+26_linux-x64_bin.tar.gz -C /usr/lib. This will extract the contents into a directory, /usr/lib/jdk-11. You can then list the contents of JDK 11 by using $> ls /usr/lib/jdk-11.
- Update the JAVA_HOME and PATH variables by editing the .bash_aliases file in your Linux home directory:
Source the .bashrc file to apply the new aliases:
$> source ~/.bashrc $> echo $JAVA_HOME /usr/lib/jdk-11 $>javac -version javac 11-ea $> java -version java version "11-ea" 2018-09-25Java(TM) SE Runtime Environment 18.9 (build 11-ea+22)
Java HotSpot(TM) 64-Bit Server VM 18.9 (build 11-ea+22, mixed
mode)
The standard SQL statement for table creation looks as follows:
CREATE TABLE table_name (column1_name data_type(size),
column2_name data_type(size),
column3_name data_type(size),
....
);
Here, table_name and column_name have to be alphanumeric and unique (inside the schema) identifiers. The limitations for the names and possible data types are database-specific. For example, Oracle allows the table name to have 128 characters, while in PostgreSQL, the maximum length of the table name and column name is 63 characters. There are differences in the data types too, so read the database documentation.
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