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Download DemoVendor: Cloudera
Certifications: Cloudera Certified Associate CCA
Exam Code: CCA175
Exam Name: CCA Spark and Hadoop Developer Exam
Updated: Dec 01, 2024
Q&As: 95
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Problem Scenario 55 : You have been given below code snippet.
val pairRDDI = sc.parallelize(List( ("cat",2), ("cat", 5), ("book", 4),("cat", 12))) val
pairRDD2 = sc.parallelize(List( ("cat",2), ("cup", 5), ("mouse", 4),("cat", 12)))
operation1
Write a correct code snippet for operationl which will produce desired output, shown below.
Array[(String, (Option[lnt], Option[lnt]))] = Array((book,(Some(4},None)),
(mouse,(None,Some(4))), (cup,(None,Some(5))), (cat,(Some(2),Some(2)),
(cat,(Some(2),Some(12))), (cat,(Some(5),Some(2))), (cat,(Some(5),Some(12))),
(cat,(Some(12),Some(2))), (cat,(Some(12),Some(12)))J
Correct Answer: See the explanation for Step by Step Solution and configuration.
Solution : pairRDD1.fullOuterJoin(pairRDD2).collect
fullOuterJoin [Pair]
Performs the full outer join between two paired RDDs.
Listing Variants
def fullOuterJoin[W](other: RDD[(K, W)], numPartitions: Int): RDD[(K, (Option[V],
OptionfW]))]
def fullOuterJoin[W](other: RDD[(K, W}]}: RDD[(K, (Option[V], OptionfW]))]
def fullOuterJoin[W](other: RDD[(K, W)], partitioner: Partitioner): RDD[(K, (Option[V],
Option[W]))]
Problem Scenario 72 : You have been given a table named "employee2" with following detail. first_name string last_name string Write a spark script in python which read this table and print all the rows and individual column values.
Correct Answer: See the explanation for Step by Step Solution and configuration.
Solution :
Step 1 : Import statements for HiveContext from pyspark.sql import HiveContext
Step 2 : Create sqIContext sqIContext = HiveContext(sc)
Step 3 : Query hive
employee2 = sqlContext.sql("select' from employee2")
Step 4 : Now prints the data for row in employee2.collect(): print(row)
Step 5 : Print specific column for row in employee2.collect(): print( row.fi rst_name)
Problem Scenario 14 : You have been given following mysql database details as well as other info. user=retail_dba password=cloudera database=retail_db jdbc URL = jdbc:mysql://quickstart:3306/retail_db Please accomplish following activities.
1.
Create a csv file named updated_departments.csv with the following contents in local file system. updated_departments.csv 2,fitness 3,footwear 12,fathematics 13,fcience 14,engineering 1000,management
2.
Upload this csv file to hdfs filesystem,
3.
Now export this data from hdfs to mysql retaildb.departments table. During upload make sure existing department will just updated and new departments needs to be inserted.
4.
Now update updated_departments.csv file with below content. 2,Fitness 3,Footwear 12,Fathematics 13,Science 14,Engineering 1000,Management 2000,Quality Check
5.
Now upload this file to hdfs.
6.
Now export this data from hdfs to mysql retail_db.departments table. During upload make sure existing department will just updated and no new departments needs to be inserted.
Correct Answer: See the explanation for Step by Step Solution and configuration.
Solution :
Step 1 : Create a csv tile named updateddepartments.csv with give content.
Step 2 : Now upload this tile to HDFS.
Create a directory called newdata.
hdfs dfs -mkdir new_data
hdfs dfs -put updated_departments.csv newdata/
Step 3 : Check whether tile is uploaded or not. hdfs dfs -Is new_data
Step 4 : Export this file to departments table using sqoop.
sqoop export --connect jdbc:mysql://quickstart:3306/retail_db \
-username retail_dba \
--password cloudera \
-table departments \
--export-dir new_data \
-batch \
-m 1 \
-update-key department_id \
-update-mode allowinsert
Step 5 : Check whether required data upsert is done or not. mysql --user=retail_dba password=cloudera
show databases;
use retail_db;
show tables;
select" from departments;
Step 6 : Update updated_departments.csv file.
Step 7 : Override the existing file in hdfs.
hdfs dfs -put updated_departments.csv newdata/
Step 8 : Now do the Sqoop export as per the requirement.
sqoop export --connect jdbc:mysql://quickstart:3306/retail_db \
-username retail_dba\
--password cloudera \
--table departments \
--export-dir new_data \
--batch \
-m 1 \
--update-key-department_id \
-update-mode updateonly
Step 9 : Check whether required data update is done or not. mysql --user=retail_dba password=cloudera
show databases;
use retail db;
show tables;
select" from departments;
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