Click here to close now.

Welcome!

Java IoT Authors: Liz McMillan, Elizabeth White, Lori MacVittie, Dinko Eror, Gregor Petri

Related Topics: Java IoT

Java IoT: Article

StAX: Java's XML Pull Parser Specification

An overview

Until recently Java programmers have had three options when wishing to access the XML infoset: they could use DOM, JDOM, or SAX. With the release of the JSR 173 StAX specification, Java programmers now have a fourth option, which gives them the efficiency of SAX with a convenient and extendable programming model. This article explores the rationale behind StAX's pull parsing model and describes how you can use the API to more cleanly create Java code to extract the information you need from your XML document. The article describes StAX's two API flavors, "cursor" and "event," and provides some of the reasons why the specification ended up containing two sets of reading and writing APIs. Example usage of each of the reading APIs and each of the writing APIs will be provided.

Document Streaming vs Document Object Model
When creating code that processes XML documents there are two approaches to dealing with the XML infoset data: object model and streaming. With object model, you first create an in-memory object model tree that holds the complete infoset state for an XML document; once in memory you can freely navigate around the tree and even evaluate arbitrary XPath expressions against the tree. This flexibility comes at a price - the complete details of the XML document must be held in memory as objects for the entire duration of the document processing. The creation of the document object graph requires considerable processor resources and takes up a large memory footprint. This may not be a problem for small XML documents, but for large XML ones memory may become a bottleneck to application performance.

With the streaming approach the XML infoset is processed in a serial manner (as a depth first traversal of the XML infoset tree); once an element has been seen its state is discarded and may be garbage collected. Only the infoset state at the current point of the document is available at any one time, which clearly limits the types of processing that can be done and implies that you need to know what processing you are going to perform before reading in the XML document. If you don't think you will ever need to use XML streaming, try loading a 100 megabyte XML file into your latest application and watch what happens.

Streaming Pull Parsing vs Streaming Push Parsing
If you are creating an application that's memory limited, either because you are running on a constrained device (as in a phone) or your application is simultaneously processing several requests (as in an application server), you need to read your XML documents using a streaming model. In the past you were restricted to using the Simple API for XML (SAX). SAX was the first widely available API for reading XML in Java and provides a very low-level, efficient API that deals directly with the character data in the XML document. SAX uses a push processing model in which the SAX library reads the XML document and calls methods on your application objects as it encounters elements and text within the XML document. Although the SAX API is simple, the code application developers need to create to use SAX is not.

A "pull" parsing alternative to SAX's "push" parsing has lurked in the background for some time, but no longer: the recently ratified StAX specification now standardizes a pull parser for Java. StAX provides an alternative processing model where you call methods on the parser at your leisure and move the processing along at your command. The key difference here is that with SAX you don't have control of the application thread and can only accept invocations from the parser. In contrast, with pull parsing you own the application thread and you control when and where you call the XML parser.

This control over "when and where" leads to increased freedoms in application design, allowing you to either collect all your parsing code together or alternatively place your parsing code within the objects that understand that particular type of information.

Pull parsing has the following advantages over push parsing:

  • Parsing simple documents can now be done with simple code.
  • It's much simpler to write recursive descent parsing code for more complex documents.
  • More than one document can be read by an application at one time with just a single thread. This can be useful when part way through reading one document you need to read a second document.
  • The parser can be told to skip parts of the XML document that are not relevant to the application, which simplifies your code and may reduce processing time and memory churn.
  • You can create streaming pipelines in an object-oriented way that are efficient and simple to use.
XML Information Model
The StAX specification models an XML document as a set of events, and these events are pulled by the application and supplied in the order in which they are encountered in the XML document. The StAX specification defines the following types of events: Attribute, Characters, Comment, StartDocument, EndDocument, StartElement, EndElement, Namespace, DTD, EntityDeclaration, EntityReference, NotationDeclaration, and ProcessingInstruction.

The last five event types are only seen if your document contains a DTD. Each event has different properties associated with it depending on the type of event.

A StAX parser is an engine that reads a Unicode character stream and converts the textual data into events. Below is an example XML document:


<?xml version="1.0" encoding="UTF-8"?>
<pre1:foo xmlns:pre1="http://www.example.com/foons">
	<pre1:sometext>
			the text <![CDATA[<notallowed> as normal text]]> other text
	</pre1:sometext>
	<pre2:bar ratio="5.5" xmlns:pre2="http://www.example.com/barns"/>
</pre1:foo>

The above document would be parsed into the events shown in Figure 1.

As you can see, this small document would be converted (by default) into a stream of 14 primary events. Each colored circle in the figure is an event object. The large circles are the primary events that are seen by the application, while the small circles are secondary events that are generally accessed from some primary event.

Salient points about the event stream to note are:

  • Every StartElement event has a matching EndElement event, even for empty events like <eg/>.
  • Attributes, although events, are not (normally) seen in the event stream but are instead accessible from their StartElement event.
  • Namespaces events are not (normally) seen in the event stream but instead appear twice, first accessible from a StartElement and, second, accessible from the corresponding EndElement.
  • XML Character data may be split over more than one event and crop up where you might not expect.
While parsing an XML document the StAX parsing engine maintains a namespace stack. The namespace stack holds details of all the XML namespaces defined for the current element and its ancestors. This namespace stack is accessible though the interface javax.xml. namespace.NamespaceContext, which includes methods for looking up a namespace URI given a prefix and looking up a prefix given a namespace URI.

Cursor vs Iterator
The Story of Two APIs

When programming in Java, object creation has traditionally been seen as the enemy of performance. One of the SAX API's main advantages is that very few superfluous objects are created during the parsing of an XML document. SAX even gives the application direct access into the parser's internal character buffer in order to read text content! This lean and mean approach leads to very efficient parsing of XML. One of the design goals for StAX was for it to be at least as fast as SAX.

Very early on during the process of creating the StAX specification two alternative API styles were proposed by the expert group. One, which I'll call "cursor," followed SAX's lean and mean approach; the other, which I'll call "iterator," was a modern object-oriented API utilizing immutable objects. The expert group looked long and hard at which API style we should go with, including doing a performance analysis of the two styles. What we discovered was that we were trying to support three different end-user developers:

  1. Library and infrastructure developers: The group who creates app servers, JAXM, JAXB, JAXRpc, implementations, etc., and needs a very low-level and close-to-the-metal API with little overhead and few requirements for extensibility.
  2. J2ME developers: This group wants an XML pull parsing library that's small and simple and has a tiny footprint. They have little need for being able to extend the parser or modify the event stream.
  3. J2EE and J2SE developers: This large group generally wants a simple, efficient pull parser that naturally produces elegant bug-free code while allowing for more complex features such as stream modification and introducing new application event types.
We looked at many inventive ideas on how to create a single API that would allow us to "have our cake and eat it," but each of these ideas was rejected as they left us with a bad taste in our mouth and invariably produced a less-predictable API. In the end our desire to support these three developer types and our requirement that we be just as fast as SAX led the expert group to support both API styles.

Cursor API
The cursor API contains a central parser interface called XMLStreamReader that includes accessor methods for all the possible information you could retrieve from the XML Information model. The parser interface contains methods for accessing the document encoding, element names, attributes, namespaces, text content, processing instructions, etc. Methods are provided to allow access into the internal character buffer just as in SAX. The cursor approach is like a mirror image of SAX and provides direct access to string and character information while exposing methods with integer indexes for accessing attribute and namespace information just as in SAX. Thus it's possible to access all of the Information Model via a set of methods that return strings so object allocation is kept to a bare minimum.

Listing 1 provides some example code that uses an XMLStreamReader instance called "sr", which reads the example document listed in Figure 1. The code uses "sr" to walk over the document and retrieve the text content of the element <pre1:sometext> and the value of the ratio attribute of the element <pre2:bar>.

Listing 1 assumes the XMLStreamReader sr has just been created, i.e., StartDocument will be the first event.

Iterator API
The iterator API presents the event stream as an ordered list of immutable event objects. The StAX API defines a common base interface called XMLEvent and a subinterface for each of the event types listed in the XML information model. The Iterator API contains a central parser interface called XMLEventReader with just five methods in it, the most important being nextEvent(), which returns the next event in the stream. The interface XMLEventReader implements java.util.Iterator so it can be passed into routines that can handle the standard Java Iterator.

The common super interface XMLEvent contains methods for finding the actual event type and downcasting to the event subtypes. Listing 2 shows the equivalent code for reading our example XML document but using the XMLEventReader "er".

Clearly in a real application the three QName objects would be held in static final fields but are left inline here to aid in comparing the code examples.

What can I do with the iterator API that I can't do with the cursor API?

As the XMLEvent subclasses are immutable objects, you can place them in arrays, lists, and maps and pass them through your application as you desire, even after the parser has moved on to later events.

You can create your own subtypes of XMLEvent that are either completely new information items or extensions of existing events but with extra methods.

You can modify an event stream by adding or removing events in a way that's much simpler to code than with the cursor API.

Which API Should I Use?
This decision can only be made by the individual developer depending on the specific situation; if one API fitted all needs we would not have ended up with two.

My personal rules of thumb:

  1. If you're programming on J2ME, use the cursor API.
  2. If you're creating low-level infrastructure or libraries and you need to achieve the best possible performance, use the cursor API.
  3. If you want to create pipelines of XML processing, use the iterator API.
  4. If you want to modify the event stream, use the iterator API.
  5. If you want to future proof your app by enabling pluggable processing of the event stream, use the iterator API.
  6. If in doubt, use the iterator API.
Performance: What's the Beef?
During the expert group design discussions for StAX, the author created a prototype pull parser that provided both types of API styles, and a series of performance tests were performed using a wide range of XML test data. Due to the fact that the internal parser implementation was common for all the tests, the results showed the performance impact of using the iterator API style versus the cursor API style when accessing the parser.

The performance differences between the API styles arise mostly because of the extra objects that are created and later need to be garbage collected. The cursor and event API need to create the objects shown in Figure 2.

The cursor API does not need to create string objects for XML character data as it provides direct access to the internal character buffer. In addition, the iterator API needs to create the immutable event objects. The items colored yellow are string objects that may be cached to improve performance at the expense of some cache management complexity.

Figure 3 shows the number of bytes of XML processed per millisecond averaged over different sets of XML test files. The test was run on JDK 122 and JDK 142 for both API styles and with and without string caching enabled. The test files are loaded into memory so there is no I/O during the test runs.

Clearly there has been a massive (3-6 times) performance improvement across the board from JDK 122 to JDK 142. The iterator API without any string caching is 6.5 times faster on JDK 142.

String caching makes a big difference on JDK 122, running up to 50% faster, but only a small difference on JDK 142, showing less than a 5% improvement with perfect caching. Clearly we can now take Joshua Bloch at his word when he says that object pooling of lightweight objects is unnecessary with modern JVMs.

The overhead from using the iterator API style instead of the cursor API is around 25-30%. This sounds like a lot but remember this test program is doing 90% XML parsing and 10% application logic, whereas your typical application would probably be the other way round - 90% app logic and 10% parsing - which would drive the overhead down to about 3%, which is in the noise for most applications.

Of course your mileage may vary depending on your particular usage scenario. With the first generation StAX parser coming out soon, we'll see if this level of performance difference is also reflected in the real StAX parsers.

StAX Input Factories
How do I create an instance of XMLStreamReader or XMLEventReader?

StAX parsers that implement either of these two APIs are created by the javax.xml.stream.XMLInputFactory, which follows the standard factory pattern. When we get JAXP support you'll be able to create instances via the JAXP APIs. Create a new instance of XMLInputFactory by calling newInstance(); this method will search for a StAX implementation using the standard techniques.

The input factory has a set of configuration parameters that control the features of the parser that will be created by the factory. Once you have an instance of the factory you can override the default configuration parameter values.

Some of the more interesting configuration parameters are:

  • javax.xml.stream.isCoalescing: Defaults to false but when set to true will request a parser that coalesces all contagious text into a single character event.
  • javax.xml.stream.supportDTD: Defaults to true, but when set to false will request a parser that does not support DTDs in XML documents.
  • javax.xml.stream.resolver: Can be used to set an implementation of XMLResolver, which is used during parsing to resolve external entities.
Below is the code to create an instance of the XMLStreamReader on a File f.


        XMLInputFactory factory = XMLInputFactory.newInstance();
        XMLStreamReader sr = factory.createXMLStreamReader(new FileInputStream(f));
And to create an XMLEventReader
        XMLInputFactory factory = XMLInputFactory.newInstance();
        XMLEventReader sr = factory.createXMLEventReader(new FileInputStream(f));

If we wanted a differently featured parser, we would set some configuration parameters before creating the parser as follows:


        XMLInputFactory factory = XMLInputFactory.newInstance();
        factory.setProperty("javax.xml.stream.isCoalescing",Boolean.TRUE);
      factory.setProperty("javax.xml.stream.supportDTD",Boolean.FALSE);
        XMLEventReader sr = factory.createXMLEventReader(new FileInputStream(f));

Some of the standard configuration parameters are optional, meaning that some implementations may choose not to support the feature. You can check to see if a standard (or nonstandard) configuration parameter is supported by calling isPropertySupported() on the factory instance. Here's an example of using an optional feature:


        XMLInputFactory factory = XMLInputFactory.newInstance();
        if(factory.isPropertySupported("javax.xml.stream.isValidating")){
            factory.setProperty("javax.xml.stream.isValidating",Boolean.TRUE);
            factory.setProperty("javax.xml.stream.reporter",this);
        }
        XMLStreamReader sr = factory.createXMLStreamReader(new FileInputStream(f));

The above code instantiates a DTD validating parser if the implementation supports DTD validation.

Once you have created either an XMLStreamReader or an XMLEventReader parser you can find out what its configuration is by calling getProperty() on the parser.

One important design feature of StAX is that you must specify the properties of the parser before you create the parser and you cannot change the property value for an existing parser nor set a new data source into the parser. The rationale behind these restrictions is that we wanted to enable optimized and modular implementations.

A StAX implementation could use a special parsing engine with its own optimized byte to Unicode decoding when reading from a java.io.InputStream; alternatively it could use a different parsing engine when a java.io.Reader is the data source. Another example is the javax.xml.stream.supportDTD property that when "false" could trigger an implementation to use a simpler, faster parsing engine. If we allowed any of the configuration parameters to be modifiable after the parser was created, these types of optimization would be considerably harder to implement.

What About Writing XML?
StAX is a truly bidirectional API and can be effectively used to generate XML, either from scratch or as the result of a StAX Event pipeline. The StAX writers are intelligent in that they maintain namespace stacks and can automatically generate namespace prefixes (if you don't care what they look like). The writers can also close elements using the correct prefix and localname.

Listings 3 and 4 show some code to generate our example XML file using someText and ratio variables. If you want to use the cursor API, the code appears as in Listing 3. If you want to use the iterator API, the code should look like Listing 4.

The writers automatically escape any illegal Unicode characters such as < or & that are found in character content or attribute values.

Summary
After a lot of hard work the StAX API specification has finally seen the light of day and Java application programmers now have a standard pull parser interface for XML. The StAX API has many advantages over the SAX API for developers, including a simpler programming model and the ability to modify the event stream data and extend the information model to allow the introduction of application-specific additions. J2ME programmers now have an XML API that matches their resource-constrained environments, while library developers now have a standard API to use that fits in with their client applications' threading models and performance expectations.

Acknowledgment
I would like to thank the members of the JSR 173 expert group for an interesting and stimulating set of discussions over the past two years.

More Stories By David Stephenson

David has worked in the computing industry for over ten years working in areas of distributed systems, middleware and IT solutions. David has a wide range of experience in computing having worked for Hewlett Packard laboratories and for the HPs middleware divisions creating e-services technology. Lately David has worked in the area of web services and on both the Java and .net platforms and has been HPís contributing expert in the JCP for both JSR31 and JSR173.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@ThingsExpo Stories
Internet of Things (IoT) will be a hybrid ecosystem of diverse devices and sensors collaborating with operational and enterprise systems to create the next big application. In their session at @ThingsExpo, Bramh Gupta, founder and CEO of robomq.io, and Fred Yatzeck, principal architect leading product development at robomq.io, discussed how choosing the right middleware and integration strategy from the get-go will enable IoT solution developers to adapt and grow with the industry, while at the same time reduce Time to Market (TTM) by using plug and play capabilities offered by a robust IoT ...
The Internet of Things is not only adding billions of sensors and billions of terabytes to the Internet. It is also forcing a fundamental change in the way we envision Information Technology. For the first time, more data is being created by devices at the edge of the Internet rather than from centralized systems. What does this mean for today's IT professional? In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists addressed this very serious issue of profound change in the industry.
SYS-CON Events announced today that BMC will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. BMC delivers software solutions that help IT transform digital enterprises for the ultimate competitive business advantage. BMC has worked with thousands of leading companies to create and deliver powerful IT management services. From mainframe to cloud to mobile, BMC pairs high-speed digital innovation with robust IT industrialization – allowing customers to provide amazing user experiences with optimized IT per...
There will be 150 billion connected devices by 2020. New digital businesses have already disrupted value chains across every industry. APIs are at the center of the digital business. You need to understand what assets you have that can be exposed digitally, what their digital value chain is, and how to create an effective business model around that value chain to compete in this economy. No enterprise can be complacent and not engage in the digital economy. Learn how to be the disruptor and not the disruptee.
Internet of Things is moving from being a hype to a reality. Experts estimate that internet connected cars will grow to 152 million, while over 100 million internet connected wireless light bulbs and lamps will be operational by 2020. These and many other intriguing statistics highlight the importance of Internet powered devices and how market penetration is going to multiply many times over in the next few years.
It is one thing to build single industrial IoT applications, but what will it take to build the Smart Cities and truly society-changing applications of the future? The technology won’t be the problem, it will be the number of parties that need to work together and be aligned in their motivation to succeed. In his session at @ThingsExpo, Jason Mondanaro, Director, Product Management at Metanga, discussed how you can plan to cooperate, partner, and form lasting all-star teams to change the world and it starts with business models and monetization strategies.
The Internet of Things is not only adding billions of sensors and billions of terabytes to the Internet. It is also forcing a fundamental change in the way we envision Information Technology. For the first time, more data is being created by devices at the edge of the Internet rather than from centralized systems. What does this mean for today's IT professional? In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists will addresses this very serious issue of profound change in the industry.
Business as usual for IT is evolving into a "Make or Buy" decision on a service-by-service conversation with input from the LOBs. How does your organization move forward with cloud? In his general session at 16th Cloud Expo, Paul Maravei, Regional Sales Manager, Hybrid Cloud and Managed Services at Cisco, discusses how Cisco and its partners offer a market-leading portfolio and ecosystem of cloud infrastructure and application services that allow you to uniquely and securely combine cloud business applications and services across multiple cloud delivery models.
In his General Session at 16th Cloud Expo, David Shacochis, host of The Hybrid IT Files podcast and Vice President at CenturyLink, investigated three key trends of the “gigabit economy" though the story of a Fortune 500 communications company in transformation. Narrating how multi-modal hybrid IT, service automation, and agile delivery all intersect, he will cover the role of storytelling and empathy in achieving strategic alignment between the enterprise and its information technology.
Buzzword alert: Microservices and IoT at a DevOps conference? What could possibly go wrong? In this Power Panel at DevOps Summit, moderated by Jason Bloomberg, the leading expert on architecting agility for the enterprise and president of Intellyx, panelists peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem fillin...
Growth hacking is common for startups to make unheard-of progress in building their business. Career Hacks can help Geek Girls and those who support them (yes, that's you too, Dad!) to excel in this typically male-dominated world. Get ready to learn the facts: Is there a bias against women in the tech / developer communities? Why are women 50% of the workforce, but hold only 24% of the STEM or IT positions? Some beginnings of what to do about it! In her Opening Keynote at 16th Cloud Expo, Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, d...
Converging digital disruptions is creating a major sea change - Cisco calls this the Internet of Everything (IoE). IoE is the network connection of People, Process, Data and Things, fueled by Cloud, Mobile, Social, Analytics and Security, and it represents a $19Trillion value-at-stake over the next 10 years. In her keynote at @ThingsExpo, Manjula Talreja, VP of Cisco Consulting Services, discussed IoE and the enormous opportunities it provides to public and private firms alike. She will share what businesses must do to thrive in the IoE economy, citing examples from several industry sectors.
In his keynote at 16th Cloud Expo, Rodney Rogers, CEO of Virtustream, discussed the evolution of the company from inception to its recent acquisition by EMC – including personal insights, lessons learned (and some WTF moments) along the way. Learn how Virtustream’s unique approach of combining the economics and elasticity of the consumer cloud model with proper performance, application automation and security into a platform became a breakout success with enterprise customers and a natural fit for the EMC Federation.
SYS-CON Events announced today that the "Second Containers & Microservices Conference" will take place November 3-5, 2015, at the Santa Clara Convention Center, Santa Clara, CA, and the “Third Containers & Microservices Conference” will take place June 7-9, 2016, at Javits Center in New York City. Containers and microservices have become topics of intense interest throughout the cloud developer and enterprise IT communities.
SYS-CON Events announced today that the "First Containers & Microservices Conference" will take place June 9-11, 2015, at the Javits Center in New York City. The “Second Containers & Microservices Conference” will take place November 3-5, 2015, at Santa Clara Convention Center, Santa Clara, CA. Containers and microservices have become topics of intense interest throughout the cloud developer and enterprise IT communities.
With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be! Internet of @ThingsExpo, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 17th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The Internet of Things (IoT) is the most profound change in personal an...
17th Cloud Expo, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy. Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and infrastructure as a service.
The 17th International Cloud Expo has announced that its Call for Papers is open. 17th International Cloud Expo, to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, APM, APIs, Microservices, Security, Big Data, Internet of Things, DevOps and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportunity. Submit your speaking proposal today!
In his keynote at 16th Cloud Expo, Rodney Rogers, CEO of Virtustream, discusses the evolution of the company from inception to its recent acquisition by EMC – including personal insights, lessons learned (and some WTF moments) along the way. Learn how Virtustream’s unique approach of combining the economics and elasticity of the consumer cloud model with proper performance, application automation and security into a platform became a breakout success with enterprise customers and a natural fit for the EMC Federation.
The 4th International Internet of @ThingsExpo, co-located with the 17th International Cloud Expo - to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA - announces that its Call for Papers is open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.