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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
HOTSPOT
You create a custom style by using CSS3.
A box with rounded corners must appear around text. The box must match the following illustration:

You need to add the CSS3 markup to your style.
How should you complete the relevant CSS styles? (To answer, select the appropriate option from each drop-down list in the answer area.)
Hot Area:

Answer:
Explanation:

Explanation/Reference:
* box-sizing
The box-sizing property is used to tell the browser what the sizing properties (width and height) should include.
Should they include the border-box or just the content-box which is the default value of the width and height properties.
* border-radius
The border-radius property is a shorthand property for setting the four border-*-radius properties.
Example
Add rounded borders to a <div> element:
div {
border: 2px solid;
border-radius: 25px;
}
Reference: CSS3 box-sizing Property; CSS3 border-radius Property

NEW QUESTION: 3
Amazon CloudWatch "_____"メトリックス(AWSマネジメントコンソールまたはAmazon Cloud Watch APIで利用可能)を注意深く監視し、レプリケーションエラーのためにリードレプリカが遅れた場合はリードレプリカを再作成することをお勧めします。
A. Write Lag
B. Replica Lag
C. Read Replica
D. Single Replica
Answer: B