In the video below, we take a closer look at Spring Auto-Wiring Beans with @Autowired annotation. Let’s get started!
This article describes the steps that need to be followed in order to invoke a stored procedure with complex Abstract Data Type as IN, OUT, and IN OUT parameter in Mule 4.
The lack of documentation to handle ADT payloads while invoking stored procedures and technical issues while retrieving the ADT response in mule run time 4.x.x discouraged developers using mulesoft for the purpose.
Is there life after COVID-19? Of course there is, even though it may be quite different, and it may be hard to get there. But there’s one thing in common in the "before" and "after" pictures: science and technology as the cornerstones of modern society, for better or worse.
We have argued before that Knowledge Graph is a technology that enables other technologies to accelerate their growth, and it also enables humans to take stock of their own knowledge. This is why the future is Knowledge Graph.
In our current time of crisis, it’s a sad fact that there are many taking advantage of distracted governments, businesses, and individuals. With the majority of workforces in the Western world currently working from home, often on insecure networks, and far removed from their typical IT support structure, an increase in cybersecurity threats has reared its head during the COVID-19 crisis.
I recently spoke with Quentin Rhoads-Herrera of CRITICALSTART to discuss trends they have recently witnessed, how the company is helping during the crisis, and cutting through some cybersecurity jargon. You can hear the full interview below.
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val myFuture = Future {
// you have no future, you are DOOMED!
42
// JK.
}
The Scenario
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def gimmeMyPreciousValue(yourArg: Int): Future[String]
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object MyService {
def produceThePreciousValue(theArg: Int): String = "The meaning of your life is " + (theArg / 42)
def submitTask[A](actualArg: A)(function: A => Unit): Boolean = {
// send the function to be evaluated on some thread, at the discretion of the scheduling logic
true
}
}
-
A "production" function that is completely deterministic.
-
A submission function that has a pretty terrible API because the function argument will be evaluated on one of the service’s threads, and you can’t get the returned value back from another thread’s call stack.
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def gimmeMyPreciousValue(yourArg: Int): Future[String] = Future {
MyService.produceThePreciousValue(yourArg)
}
The Solution
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// create an empty promise
val myPromise = Promise[String]()
// extract its future
val myFuture = myPromise.future
// do your thing with the future, assuming it will be filled with a value at some point
val furtherProcessing = myFuture.map(_.toUpperCase())
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val asyncCall(promise: Promise[String]): Unit = {
promise.success("Your value here, your majesty")
}
How to Use it
def gimmeMyPreciousValue(yourArg: Int): Future[String] = {
// create promise now
val thePromise = Promise[String]()
// submit a task to be evaluated later, at the discretion of the service
// note: if the service is not on the same JVM, you can pass a tuple with the arg and the promise so the service has access to both
MyService.submit(yourArg) { x: Int =>
val preciousValue = MyService.producePreciousValue(x)
thePromise.success(preciousValue)
}
// return the future now, so it can be reused by whoever's consuming it
thePromise.future
}
failure
, trySuccess
/ tryFailure
and more. The Threat
The recent surge in Work-From-Home, triggered by the COVID-19 crisis, is here to stay and the first sign of it is that "WFH" has been added to the alphabet soup of jargons crowding the technology industry. WFH, however, has also created a fresh set of challenges for organizations to protect their intellectual assets from cyberattacks. It’s a no-brainer to say that our home networks are far more vulnerable than enterprise networks. Companies are leveraging this crisis to meet immediate needs as well as for building more lasting, longer-term access to a variety of resources in the cloud as well as in the enterprise data center.
As the world logs on to enterprise networks from home, the demand for more secure remote access for employees is at an all-time high. Organizations must prepare for possible cyberattacks on our home IT networks to exploit its vulnerabilities. They need to monitor IT use for signs of malicious behaviour, safeguard sensitive data and assure maximum compliance with privacy and regulatory requirements. Also, the extensive use of cloud services necessitated by the COVID-19 crisis, both on-premise and public, will compel enterprises to reassess this ecosystem and take additional steps to protect it.
I had the opportunity to meet virtually with Dani Golan, CEO and Co-founder, and Derek Swanson, CTO of Kaminario as part of the 34th IT Press Tour.
Hybrid multi-cloud infrastructure continues to win the day for enterprises. This is driven by the exponential growth of data, limited budgets, digitalization of business, and changing demand for skills and roles. The globalization of business requires access to data everywhere with everything being connected and data being collected at millions of endpoints while remaining compliant with geographically-specific data privacy laws.
Vue.JS is a JavaScript library that has taken the world of frontend developers by storm. Even for one of the latest libraries on JavaScript, Vue stands a stiff competition for the existing leaders like React and Angular.
As for recent stats, here is a comparison between the popularity of these three JavaScript frameworks:
Despite Java not providing a zip operation, you don’t need either 30 additional lines to implement it, nor a third party library. Simply compose a zipline through the existing Stream API.
Abstract
Java, from its 8th version onward, provides an easy way to query sequences of elements through its Stream Interface, which provides several operations out of the box. This set of operations is quite versatile but, as can be expected, it does not cover all the operations a programmer may require. One such operation is zip, as we can observe in one of the most visited posts about Java Streams in Stackoverfow: Zipping streams using JDK8 with lambda (java.util.stream.Streams.zip). Even 7 years later, we are now on Java 14 release and there is no zip operation for Streams yet.