Friday Jul 19, 2013

Java API for JSON Processing: An Introduction to JSON

A new article, now up on otn/java, by Oracle’s Jitandra Kotamraju, titled “Java API for JSON Processing: An Introduction to JSON,” takes a look at how Java API for JSON Processing provides portable APIs to parse, generate, transform and query JSON, also known as JavaScript Object Notation. Kotamraju, a principal member of the technical staff at Oracle, is the JSON Processing specification lead.

JSO, a lightweight, text-based, language-independent data exchange format that is easy to read and write by both humans and machines, can represent two structured types: objects and arrays. Kotamraju, the JSON Processing specification lead, explains that “an object is an unordered collection of zero or more name/value pairs. An array is an ordered sequence of zero or more values. The values can be strings, numbers, booleans, null and these two structured types.”

JSON is frequently used in Ajax applications, configurations, databases, and RESTful web services. JSON is offered as the data exchange format with their RESTful web services by all popular websites.

Kotamraju gets under the hood with both the object model and streaming APIs. He concludes that the API for JSON Processing offers the following capabilities:
* “Parsing input streams into immutable objects or event streams
* Writing event streams or immutable objects to output streams
* Programmatically navigating immutable objects
* Programmatically building immutable objects with builders”

The API forms a base for building data binding, transformation, querying, or other manipulation APIs. JAX-RS 2.0 provides native integration for the Java API for JSON Processing.

Check out the article here.

Thursday Jun 27, 2013

An Overview of Batch Processing in Java EE 7

Up on otn/java is a new article by Oracle senior software engineer Mahesh Kannan, titled “An Overview of Batch Processing in Java EE 7.0,” which explains the new batch processing capabilities provided by JSR 352 in Java EE 7. Kannan explains that “Batch processing is used in many industries for tasks ranging from payroll processing; statement generation; end-of-day jobs such as interest calculation and ETL (extract, load, and transform) in a data warehouse; and many more. Typically, batch processing is bulk-oriented, non-interactive, and long running—and might be data- or computation-intensive. Batch jobs can be run on schedule or initiated on demand. Also, since batch jobs are typically long-running jobs, check-pointing and restarting are common features found in batch jobs.”

JSR 352 defines the programming model for batch applications plus a runtime to run and manage batch jobs. The article covers feature highlights, selected APIs, the structure of Job Scheduling Language, and explains some of the key functions of JSR 352 using a simple payroll processing application. The article also describes how developers can run batch applications using GlassFish Server Open Source Edition 4.0.

Kannan summarizes the article as follows:

“In this article, we saw how to write, package, and run simple batch applications that use chunk-style steps. We also saw how the checkpoint feature of the batch runtime allows for the easy restart of failed batch jobs. Yet, we have barely scratched the surface of JSR 352. With the full set of Java EE components and features at your disposal, including servlets, EJB beans, CDI beans, EJB automatic timers, and so on, feature-rich batch applications can be written fairly easily.”

Check out the article here.

About

Insider News from the Java Team at Oracle!

duke
javeone logo
Links


Search

Archives
« July 2014
SunMonTueWedThuFriSat
  
1
2
3
4
5
6
7
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
  
       
Today