By Peter Smid
Offers whole details on a number of programming strategies, from the elemental parts to dozens of complex recommendations. comprises greater than 1,000 illustrations, tables, formulation, advice, shortcuts and real-world examples. deals exceptional reference fabric beneficial for talents education in any respect degrees of CNC. provides an encyclopedic, logically prepared method of CNC programming, permitting the reader to seem up a topic of curiosity in basic terms. makes use of move references all through to lead the reader to the right kind resolution or technique to an issue.
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Additional info for CNC Programming Handbook, 2nd Edition
An interesting problem arose with object-oriented programming: the implementation of concurrency and parallelism. These two concepts are the Achilles’ heel of structured and object-oriented programming. Imagine an implementation of threads in C ++ or Java; complexity is vast and proneness to error is very large. Concurrency is not easy; making more than one thing with a program is related to dealing with race conditions, semaphores, mutexes, locks, shared data, and all the stuff related to multithreading.
The following are some examples. Queue[String] = Queue(Akka, Cassandra, Kafka, Scala) The dequeueFirst and dequeueAll methods dequeue the elements matching the predicate. Queue[String] = Queue(Mesos, Cassandra, Kafka) Stacks The stack follows the last-in, first-out (LIFO) data structure. The following are some examples. Stack[String] = Stack() Ranges Ranges are most commonly used with loops, as shown in the following examples. ArrayBuffer[Char] = ArrayBuffer(a, b, c, d, e) // An old fashioned for loop using a range scala> for (i <- 1 to 5) println(i) 1 2 3 4 5 Summary Since all the examples in this book are in Scala, we need to reinforce it before beginning our study.
The upcoming chapters go into greater depth on each of these technologies. We will explore the connectors and the integration practices, and link techniques, as well as describe alternatives to every situation. 16 PART II Playing SMACK CHAPTER 3 The Language: Scala The main part of the SMACK stack is Spark, but sometimes the S is for Scala. You can develop in Spark in four languages: Java, Scala, Python, and R. Because Apache Spark is written in Scala, and this book is focused on streaming architecture, we are going to show examples in only the Scala language.