SCALA Assignment Help

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SCALA Assignment Help

Scala is a programming language that blends both functional programming and object-oriented programming to a high-level language. This multi-paradigm language will let the Java and other language programmers stay productive. The static types present in this language would totally keep the bugs in complicated applications at bay. The JavaScript run time and JVM will allow programming homework help programmers to boost high-performance systems and give access to extensive libraries. Scala that has a Java compiler will be used to generate Java libraries and Java className files. This is interoperable with both the Java and .Net languages.

There are many companies that are switching from Java to Scala language due to the scalability and productivity it is offered for the organization. There are many new and powerful features that are added to this language, which makes it tough for students to grasp. Scala will use the functions of practical and object-oriented languages. This helps the programming languages that are related to the static type. The programs in Scala can be run in Java virtual machines. The compilation of the code will happen in byte code. 

Advantages of Using Scala Programming Language

Scala was created in 2003 with the mean to address the issues that are experienced by software engineers with Java. There are many programming dialects that bombed severely to rival Java, aside from Scala. A couple of the advantages a software engineer would harvest by changing to Java. These include:

  • Scalable
  • Object-oriented
  • Compatible and interoperable
  • New features and functionalities

The Scala programming language was first evolved by Martin Odersky. The language was created by submitting a general direction to practical programming and Petri nets. The primary thought behind building up this programming language is to offer interoperability with various stages. In any case, Scala isn't a superset of Java, rather, it is interoperable with Java. Additionally, it was discovered that the projects accumulated in Scala are proficient over Java since it holds the capacity to mean byte codes in Java. This is an exquisite and brief language that has been gotten from two watchwords to be specific versatile and language. The language will develop to fulfill the needs of Scala Homework Help software engineers that develop after some time. This language has highlights of both useful programming and article situated programming that will assist the engineers with staying beneficial. Scale being interoperable with Java and. Net dialects, the compiler will create Java documents that are anything but difficult to execute on JVM machines or compilers that would produce pairs that are anything but difficult to execute on .NET CLR.

All of these Scala advantages are factored in by our experts while extending the help in Scala Homework and SCALA Assignments.

Scala Programming Strengths in Scala Assignment Help Services

Comparing with java, when using SCALA our code becomes significantly shorter

	Java: className circlenew {

	private double r; // radius=r

	private doubleh; // height=h

	public circlenew (double r) {

	this.r = r;

Why Programmer use SCALA for SCALA Assignment Help Online

Scala is a programming language largely compared to Java and Python because of their capability of all of them being used by big data experts when choosing a programming language for Apache Spark. Different data analysts or data scientists may prefer any of the programming languages between Scala and Python because of the benefits they realize. Both Scala and Python are easy to program and help data experts get productive fast. Hence, they can learn both.

Scala is, however, normally the first preferred choice to Python when it comes to which is a better programming language for Apache Spark.

Sample of SCALA Assignment Help Done by Experts

P1. Shortest Path Distance

In this task, you need to compute the shortest path distance between two given nodes in a directed unweighted graph, named “direct.graph”. The shortest path distance from node to node is the minimum path length from to b.


“direct.graph” is stored in the edge list format. Each line contains two numbers ab, representing a directed edge from to b. For example, a sample graph file “direct. graph” contains the following lines:

1 2

1 3

1 4

2 3

2 5

3 1

3 2

4 2

4 5

NoteSNAP is a collection of real-world graph data available for download. You can use these graphs for practices and testing.

Besides “direct.graph”, your program should read from another input file named “DTest” that contains one or multiple lines of node pairs for the shortest path distance query. Each line is in aformat, for example:

2 4

4 3

Note: You can assume all node ids listed in “DTest” are valid.


The output of your program should be a file named “DRes”, where the number on each line corresponding to the shortest path distance of querying nodes (following the same order). For example, following the above sample graph and queries, your output file should contain



Note: It is possible that two query nodes are not reachable, in this case, you should output −1.


  • In practice, the input graph can be very large (millions of nodes and edges), you need to be careful to choose a proper data structure to represent the graph (adjacency matrix may not be a good idea).
  • For an unweighted graph, the single pair shortest path problem can be answered with Breadth-First-Search.

You can start with a parallel BFS implementation with MapReduce or Spark.

P2. Connected Component Count

In this task, you need to compute the number of the connected components of an undirected graph, named “undirect.graph”. A connected component is a maximal group of nodes such that every pair of them are reachable (i.e., connected by a sequence of consecutive edges). A graph can have more than one connected component. Note that an isolated node is considered as one connected component.


“undirect.graph” is stored in an edge list format. Each line contains two numbers a b, representing an edge connecting and b. For example, a sample graph file “undirect.graph” contains the following lines:

Note: You can assume each edge is stored only once (i.e., “2 1” will not appear if “1 2” is given). Similar to P1, you can use SNAP graphs for the test.


The output of your program should be a file named “CCRes”, which contains only the count of connected components. For example, following the above sample graph and queries, your output file should be


  • There are multiple ways to determine the number of connected components. One straightforward solution is to use a node coloring strategy, which has nodes in a connected component marked with the same color. There is another Hash-Min algorithm to borrow.

P3. Sparse Matrix-Vector Multiplication

In this task, you need to implement the sparse matrix-vector multiplication, namely SpMV, in a parallel computing framework. SpMV is the computation of the following form: ~y A~x, where is a sparse matrix, ~y, and ~x are dense vectors.


Matrix is stored in the Compressed-Row-Storage (CRS) format, which is represented with three one dimensional arrays that respectively contain the extents of rows, column indices, and nonzero values (see explanation of CRS here). These arrays are stored in three files: “rindx”, “cindx”, and “data”. For example, given a matrix A: