Welcome!

Java IoT Authors: Elizabeth White, Yeshim Deniz, Zakia Bouachraoui, Liz McMillan, Pat Romanski

RSS Feed Item

Re: XML Schema: "Best used with the ______ tool"

Michael Kay wrote:
> I don't have any performance data, and I would love to see some. But XSLT
> and XQuery processors also use tree representations that are much faster and
> smaller than a DOM (in one recent Saxon measurement, 40% of the size, 40%
> faster to build, and 30 times faster to navigate), and I don't think there's
> any intrinsic reason why they should be slower than data binding. I'm not
> saying they are faster, just challenging your assertion that they are
> impossibly slow - I think the burden of proof is on you.
>   

I don't think I said they were "impossibly slow", though I would be 
surprised if XSLT and XQuery performance could actually match data 
binding for reasonable business applications. If you'd like to try a 
comparison, I have an earthquake data set and schema I use for comparing 
web service stack performance. The client queries the server for quakes 
within specified time, location, and magnitude ranges. The server 
responds with all the matching quakes, grouped by geographical area 
(using predetermined standard areas) and sorted within each area by 
date/time. I'd love to see this implemented using XSLT or XQuery by 
someone who knows what they're doing, to see how the performance 
compared with the data binding implementations.

>> XQuery may be usable when you only need a few selected items 
>> of data from the documents, but it's not a realistic approach 
>> when all the data in the document is actually used by the application.
>>     
>
> Why?
>   

Why would any developer in his right mind want to first do queries to 
retrieve the data from the document and then organize the data himself 
into something usable by the application? I see that Boris has responded 
to this separately, and agree with his points.

>> For most web services applications the Java (or other programming
>> language) representation is actually primary, and XML is just 
>> being used for interchange. 
>>     
>
> I don't think it matters which is primary, the complexity comes from having
> two representations and keeping them aligned. But I would have thought the
> format used for data interchange is primary in the sense that it needs to be
> agreed with other parties, whereas the Java representation is under local
> control. (Unless of course you're running the same code at both ends, in
> which case I'm not sure why you're using XML at all.)
>   

There's a surprising amount of web services work that's being done where 
there's only one client and one server implementation, especially when 
the service is being initially developed and the formats are subject to 
a lot of changes.

But I do agree on the problems involved in maintaining two 
representations. How much of a problem this presents for data binding 
when the schema changes depends on what you're doing to the schema. If 
you're just adding new optional data and perhaps changing some names, it 
should be trivial to regenerate the data binding model and adjust your 
application code to match (especially using any modern IDE). If you're 
making structural changes to the schema the changes in the generated 
model will require more work on your application code - but the same is 
going to be true when using XSLT/XQuery.

  - Dennis

Read the original blog entry...

IoT & Smart Cities Stories
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility. As they do so, IT professionals are also embr...
The Japan External Trade Organization (JETRO) is a non-profit organization that provides business support services to companies expanding to Japan. With the support of JETRO's dedicated staff, clients can incorporate their business; receive visa, immigration, and HR support; find dedicated office space; identify local government subsidies; get tailored market studies; and more.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Atmosera delivers modern cloud services that maximize the advantages of cloud-based infrastructures. Offering private, hybrid, and public cloud solutions, Atmosera works closely with customers to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Atmosera's expertise simplifies the process of cloud transformation and our 20+ years of experience managing complex IT environments provides our customers with the confidence and trust tha...
AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc.
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility.
Today's workforce is trading their cubicles and corporate desktops in favor of an any-location, any-device work style. And as digital natives make up more and more of the modern workforce, the appetite for user-friendly, cloud-based services grows. The center of work is shifting to the user and to the cloud. But managing a proliferation of SaaS, web, and mobile apps running on any number of clouds and devices is unwieldy and increases security risks. Steve Wilson, Citrix Vice President of Cloud,...
When Enterprises started adopting Hadoop-based Big Data environments over the last ten years, they were mainly on-premise deployments. Organizations would spin up and manage large Hadoop clusters, where they would funnel exabytes or petabytes of unstructured data.However, over the last few years the economics of maintaining this enormous infrastructure compared with the elastic scalability of viable cloud options has changed this equation. The growth of cloud storage, cloud-managed big data e...