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NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 31 : You have given following two files
1 . Content.txt: Contain a huge text file containing space separated words.
2 . Remove.txt: Ignore/filter all the words given in this file (Comma Separated).
Write a Spark program which reads the Content.txt file and load as an RDD, remove all the words from a broadcast variables (which is loaded as an RDD of words from Remove.txt).
And count the occurrence of the each word and save it as a text file in HDFS.
Content.txt
Hello this is ABCTech.com
This is TechABY.com
Apache Spark Training
This is Spark Learning Session
Spark is faster than MapReduce
Remove.txt
Hello, is, this, the
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create all three files in hdfs in directory called spark2 (We will do using Hue).
However, you can first create in local filesystem and then upload it to hdfs
Step 2 : Load the Content.txt file
val content = sc.textFile("spark2/Content.txt") //Load the text file
Step 3 : Load the Remove.txt file
val remove = sc.textFile("spark2/Remove.txt") //Load the text file
Step 4 : Create an RDD from remove, However, there is a possibility each word could have trailing spaces, remove those whitespaces as well. We have used two functions here flatMap, map and trim.
val removeRDD= remove.flatMap(x=> x.splitf',") ).map(word=>word.trim)//Create an array of words
Step 5 : Broadcast the variable, which you want to ignore
val bRemove = sc.broadcast(removeRDD.collect().toList) // It should be array of Strings
Step 6 : Split the content RDD, so we can have Array of String. val words = content.flatMap(line => line.split(" "))
Step 7 : Filter the RDD, so it can have only content which are not present in "Broadcast
Variable". val filtered = words.filter{case (word) => !bRemove.value.contains(word)}
Step 8 : Create a PairRDD, so we can have (word,1) tuple or PairRDD. val pairRDD = filtered.map(word => (word,1))
Step 9 : Nowdo the word count on PairRDD. val wordCount = pairRDD.reduceByKey(_ + _)
Step 10 : Save the output as a Text file.
wordCount.saveAsTextFile("spark2/result.txt")
NEW QUESTION: 2
During a project meeting, a team member reports using an innovative method to work on a requirement After reviewing the change log the project manager realizes that the team member added more functionality.
What does this describe?
A. Secondary risk
B. Scope creep
C. Scope change
D. Risk mitigation
Answer: B
NEW QUESTION: 3
HOTSPOT
Click in the Facebook screen shown to begin adding a cover photo that will capture and communicate what your page is all about:
Answer:
Explanation:
NEW QUESTION: 4
Identify the correct movement request where the move orders are preapproved requests for subinventory transfers that bring material from a source location to a shipment staging subinventory within the organization.
A. Movement Request Requisitions
B. Automatic Movement Request Requisitions
C. Shipping Movement Request
D. Pick Wave Movement Request
E. Replenishment Movement Request
Answer: D
Explanation:
Explanation
Pick Wave Move Orders
Pick wave move orders are pre-approved requests for subinventory transfers to bring material from a source location in the warehouse to a staging subinventory. These move orders are generated automatically by the Oracle Shipping Execution pick release process.
For all move orders, the final result is one of the two supported transactions:
1. Subinventory Transfer or
2. Account Issue.
http://functional-scm.blogspot.com/2011/12/move-orders-in-oracle-apps.html