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NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 80 : You have been given MySQL DB with following details.
user=retail_dba
password=cloudera
database=retail_db
table=retail_db.products
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Columns of products table : (product_id | product_category_id | product_name | product_description | product_price | product_image )
Please accomplish following activities.
1. Copy "retaildb.products" table to hdfs in a directory p93_products
2. Now sort the products data sorted by product price per category, use productcategoryid colunm to group by category
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Import Single table .
sqoop import --connect jdbc:mysql://quickstart:3306/retail_db -username=retail_dba - password=cloudera -table=products --target-dir=p93
Note : Please check you dont have space between before or after '=' sign. Sqoop uses the
MapReduce framework to copy data from RDBMS to hdfs
Step 2 : Step 2 : Read the data from one of the partition, created using above command, hadoop fs -cat p93_products/part-m-00000
Step 3 : Load this directory as RDD using Spark and Python (Open pyspark terminal and do following}. productsRDD = sc.textFile(Mp93_products")
Step 4 : Filter empty prices, if exists
#filter out empty prices lines
Nonempty_lines = productsRDD.filter(lambda x: len(x.split(",")[4]) > 0)
Step 5 : Create data set like (categroyld, (id,name,price)
mappedRDD = nonempty_lines.map(lambda line: (line.split(",")[1], (line.split(",")[0], line.split(",")[2], float(line.split(",")[4])))) tor line in mappedRDD.collect(): print(line)
Step 6 : Now groupBy the all records based on categoryld, which a key on mappedRDD it will produce output like (categoryld, iterable of all lines for a key/categoryld) groupByCategroyld = mappedRDD.groupByKey() for line in groupByCategroyld.collect():
print(line)
step 7 : Now sort the data in each category based on price in ascending order.
# sorted is a function to sort an iterable, we can also specify, what would be the Key on which we want to sort in this case we have price on which it needs to be sorted.
groupByCategroyld.map(lambda tuple: sorted(tuple[1], key=lambda tupleValue:
tupleValue[2])).take(5)
Step 8 : Now sort the data in each category based on price in descending order.
# sorted is a function to sort an iterable, we can also specify, what would be the Key on which we want to sort in this case we have price which it needs to be sorted.
on groupByCategroyld.map(lambda tuple: sorted(tuple[1], key=lambda tupleValue:
tupleValue[2] , reverse=True)).take(5)

NEW QUESTION: 2

A. Yes
B. No
Answer: A

NEW QUESTION: 3
이 질문은 밑줄 친 텍스트가 올바른지 판단하기 위해 평가해야 합니다.
단위 테스트는 기능 또는 제품이 완료된 것으로 간주되기 전에 완료되어야 하는 최종 테스트 세트입니다.
밑줄 친 텍스트가 명령문을 올 Y 르지 않게하는 경우 정답을 선택하십시오.
밑줄이 표시된 텍스트가 문장을 정확하게 만들려면 "변경 필요 없음"을 선택하십시오.
A. 변경이 필요 없음
B. 시스템
C. 통합
D. 사용자 동의
Answer: D
Explanation:
설명:
사용자 수용 테스트 (UAT)는 소프트웨어 테스트 프로세스의 마지막 단계입니다. UAT 동안 실제 소프트웨어 사용자는 소프트웨어를 테스트하여 사양에 따라 실제 시나리오에서 필요한 작업을 처리할수 ​​있는지 확인합니다.
UAT는 새로 개발 된 소프트웨어를 출시하기 전에 최종적이고 중요한 소프트웨어 프로젝트 절차중 하나입니다.
UAT는 베타 테스트, 응용 프로그램 테스트 또는 최종 사용자 테스트라고도 합니다.

NEW QUESTION: 4
How do routers in the PIM domain learn the address of the elected BSR?
A. The address information of the elected BSR is flooded through the network in a PIM Hello message.
B. The address information of the elected BSR is unicast to them in a bootstrap message.
C. The address information of the elected BSR is flooded through the network in a bootstrap message.
D. The address information of the elected BSR is preconfigured on all routers.
Answer: C