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CCA175 Practice Questions

Question # 1

Problem Scenario 12 : 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.
1. Create a table in retailedb with following definition.
CREATE table departments_new (department_id int(11), department_name varchar(45),
created_date T1MESTAMP DEFAULT NOW());
2. Now isert records from departments table to departments_new
3. Now import data from departments_new table to hdfs.
4. Insert following 5 records in departmentsnew table. Insert into departments_new
values(110, "Civil" , null); Insert into departments_new values(111, "Mechanical" , null);
Insert into departments_new values(112, "Automobile" , null); Insert into departments_new
values(113, "Pharma" , null);
Insert into departments_new values(114, "Social Engineering" , null);
5. Now do the incremental import based on created_date column.

Answer: See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Login to musql db
mysql -user=retail_dba -password=cloudera
show databases;
use retail db; show tables;
Step 2 : Create a table as given in problem statement.
CREATE table departments_new (department_id int(11), department_name varchar(45),
createddate T1MESTAMP DEFAULT NOW());
show tables;
Step 3 : isert records from departments table to departments_new insert into
departments_new select a.", null from departments a;
Step 4 : Import data from departments new table to hdfs.
sqoop import \
-connect jdbc:mysql://quickstart:330G/retail_db \
~username=retail_dba \
-password=cloudera \
-table departments_new\
-target-dir /user/cloudera/departments_new \
-split-by departments
Stpe 5 : Check the imported data.
hdfs dfs -cat /user/cloudera/departmentsnew/part"
Step 6 : Insert following 5 records in departmentsnew table.
Insert into departments_new values(110, "Civil" , null);
Insert into departments_new values(111, "Mechanical" , null);
Insert into departments_new values(112, "Automobile" , null);
Insert into departments_new values(113, "Pharma" , null);
Insert into departments_new values(114, "Social Engineering" , null);
commit;
Stpe 7 : Import incremetal data based on created_date column.
sqoop import \
-connect jdbc:mysql://quickstart:330G/retaiI_db \
-username=retail_dba \
-password=cloudera \
-table departments_new\
-target-dir /user/cloudera/departments_new \
-append \
-check-column created_date \
-incremental lastmodified \
-split-by departments \
-last-value "2016-01-30 12:07:37.0"
Step 8 : Check the imported value.
hdfs dfs -cat /user/cloudera/departmentsnew/part"


Question # 2

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.

Answer: See the explanation for Step by Step Solution and configuration.
Explanation:
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;


Question # 3

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

Answer: See the explanation for Step by Step Solution and configuration.
Explanation:
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]))]


Question # 4

Problem Scenario 15 : 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. In mysql departments table please insert following record. Insert into departments
values(9999, '"Data Science"1);
2. Now there is a downstream system which will process dumps of this file. However,
system is designed the way that it can process only files if fields are enlcosed in(') single
quote and separate of the field should be (-} and line needs to be terminated by : (colon).
3. If data itself contains the " (double quote } than it should be escaped by \.
4. Please import the departments table in a directory called departments_enclosedby and
file should be able to process by downstream system.

Answer: See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Connect to mysql database.
mysql -user=retail_dba -password=cloudera
show databases; use retail_db; show tables;
Insert record
Insert into departments values(9999, '"Data Science"');
select" from departments;
Step 2 : Import data as per requirement.
sqoop import \
-connect jdbc:mysql;//quickstart:3306/retail_db \
~username=retail_dba \
-password=cloudera \
-table departments \
-target-dir /user/cloudera/departments_enclosedby \
-enclosed-by V -escaped-by \\ -fields-terminated-by-' -lines-terminated-by :
Step 3 : Check the result.
hdfs dfs -cat/user/cloudera/departments_enclosedby/part"


Question # 5

Problem Scenario 9 : 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.
1. Import departments table in a directory.
2. Again import departments table same directory (However, directory already exist hence
it should not overrride and append the results)
3. Also make sure your results fields are terminated by '|' and lines terminated by '\n\

Answer: See the explanation for Step by Step Solution and configuration.
Explanation:
Solutions :
Step 1 : Clean the hdfs file system, if they exists clean out.
hadoop fs -rm -R departments
hadoop fs -rm -R categories
hadoop fs -rm -R products
hadoop fs -rm -R orders
hadoop fs -rm -R order_items
hadoop fs -rm -R customers
Step 2 : Now import the department table as per requirement.
sqoop import \
-connect jdbc:mysql://quickstart:330G/retaiI_db \
-username=retail_dba \
-password=cloudera \
-table departments \
-target-dir=departments \
-fields-terminated-by '|' \
-lines-terminated-by '\n' \
-ml
Step 3 : Check imported data.
hdfs dfs -Is departments
hdfs dfs -cat departments/part-m-00000
Step 4 : Now again import data and needs to appended.
sqoop import \
-connect jdbc:mysql://quickstart:3306/retail_db \
-username=retail_dba \
-password=cloudera \
-table departments \
-target-dir departments \
-append \
-tields-terminated-by '|' \
-lines-termtnated-by '\n' \
-ml
Step 5 : Again Check the results
hdfs dfs -Is departments
hdfs dfs -cat departments/part-m-00001


Question # 6

Problem Scenario 27 : You need to implement near real time solutions for collecting
information when submitted in file with below information.
Data
echo "IBM,100,20160104" >> /tmp/spooldir/bb/.bb.txt
echo "IBM,103,20160105" >> /tmp/spooldir/bb/.bb.txt
mv /tmp/spooldir/bb/.bb.txt /tmp/spooldir/bb/bb.txt
After few mins
echo "IBM,100.2,20160104" >> /tmp/spooldir/dr/.dr.txt
echo "IBM,103.1,20160105" >> /tmp/spooldir/dr/.dr.txt
mv /tmp/spooldir/dr/.dr.txt /tmp/spooldir/dr/dr.txt
Requirements:
You have been given below directory location (if not available than create it) /tmp/spooldir .
You have a finacial subscription for getting stock prices from BloomBerg as well as
Reuters and using ftp you download every hour new files from their respective ftp site in
directories /tmp/spooldir/bb and /tmp/spooldir/dr respectively.
As soon as file committed in this directory that needs to be available in hdfs in
/tmp/flume/finance location in a single directory.
Write a flume configuration file named flume7.conf and use it to load data in hdfs with
following additional properties .
1. Spool /tmp/spooldir/bb and /tmp/spooldir/dr
2. File prefix in hdfs sholuld be events
3. File suffix should be .log
4. If file is not commited and in use than it should have _ as prefix.
5. Data should be written as text to hdfs

Answer: See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create directory mkdir /tmp/spooldir/bb mkdir /tmp/spooldir/dr
Step 2 : Create flume configuration file, with below configuration for
agent1.sources = source1 source2
agent1 .sinks = sink1
agent1.channels = channel1
agent1 .sources.source1.channels = channel1
agentl .sources.source2.channels = channell agent1 .sinks.sinkl.channel = channell
agent1 .sources.source1.type = spooldir
agent1 .sources.sourcel.spoolDir = /tmp/spooldir/bb
agent1 .sources.source2.type = spooldir
agent1 .sources.source2.spoolDir = /tmp/spooldir/dr
agent1 .sinks.sink1.type = hdfs
agent1 .sinks.sink1.hdfs.path = /tmp/flume/finance
agent1-sinks.sink1.hdfs.filePrefix = events
agent1.sinks.sink1.hdfs.fileSuffix = .log
agent1 .sinks.sink1.hdfs.inUsePrefix = _
agent1 .sinks.sink1.hdfs.fileType = Data Stream
agent1.channels.channel1.type = file
Step 4 : Run below command which will use this configuration file and append data in hdfs.
Start flume service:
flume-ng agent -conf /home/cloudera/flumeconf -conf-file
/home/cloudera/fIumeconf/fIume7.conf -name agent1
Step 5 : Open another terminal and create a file in /tmp/spooldir/
echo "IBM,100,20160104" » /tmp/spooldir/bb/.bb.txt
echo "IBM,103,20160105" » /tmp/spooldir/bb/.bb.txt mv /tmp/spooldir/bb/.bb.txt
/tmp/spooldir/bb/bb.txt
After few mins
echo "IBM,100.2,20160104" » /tmp/spooldir/dr/.dr.txt
echo "IBM,103.1,20160105" »/tmp/spooldir/dr/.dr.txt mv /tmp/spooldir/dr/.dr.txt
/tmp/spooldir/dr/dr.txt


Question # 7

Problem Scenario 82 : You have been given table in Hive with following structure (Which
you have created in previous exercise).
productid int code string name string quantity int price float
Using SparkSQL accomplish following activities.
1. Select all the products name and quantity having quantity <= 2000
2. Select name and price of the product having code as 'PEN'
3. Select all the products, which name starts with PENCIL
4. Select all products which "name" begins with 'P\ followed by any two characters,
followed by space, followed by zero or more characters

Answer: See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Copy following tile (Mandatory Step in Cloudera QuickVM) if you have not done it.
sudo su root
cp /usr/lib/hive/conf/hive-site.xml /usr/lib/sparkVconf/
Step 2 : Now start spark-shell
Step 3 ; Select all the products name and quantity having quantity <= 2000
val results = sqlContext.sql(......SELECT name, quantity FROM products WHERE quantity
<= 2000......)
results.showQ
Step 4 : Select name and price of the product having code as 'PEN'
val results = sqlContext.sql(......SELECT name, price FROM products WHERE code =
'PEN.......)
results. showQ
Step 5 : Select all the products , which name starts with PENCIL
val results = sqlContext.sql(......SELECT name, price FROM products WHERE
upper(name) LIKE 'PENCIL%.......}
results. showQ
Step 6 : select all products which "name" begins with 'P', followed by any two characters,
followed by space, followed byzero or more characters
- "name" begins with 'P', followed by any two characters,
- followed by space, followed by zero or more characters
val results = sqlContext.sql(......SELECT name, price FROM products WHERE name LIKE
'P_ %.......)
results. show()


Question # 8

Problem Scenario 26 : You need to implement near real time solutions for collecting
information when submitted in file with below information. You have been given below
directory location (if not available than create it) /tmp/nrtcontent. Assume your departments
upstream service is continuously committing data in this directory as a new file (not stream
of data, because it is near real time solution). As soon as file committed in this directory
that needs to be available in hdfs in /tmp/flume location
Data
echo "I am preparing for CCA175 from ABCTECH.com" > /tmp/nrtcontent/.he1.txt
mv /tmp/nrtcontent/.he1.txt /tmp/nrtcontent/he1.txt
After few mins
echo "I am preparing for CCA175 from TopTech.com" > /tmp/nrtcontent/.qt1.txt
mv /tmp/nrtcontent/.qt1.txt /tmp/nrtcontent/qt1.txt
Write a flume configuration file named flumes.conf and use it to load data in hdfs with
following additional properties.
1. Spool /tmp/nrtcontent
2. File prefix in hdfs sholuld be events
3. File suffix should be Jog
4. If file is not commited and in use than it should have as prefix.
5. Data should be written as text to hdfs

Answer: See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create directory mkdir /tmp/nrtcontent
Step 2 : Create flume configuration file, with below configuration for source, sink and
channel and save it in flume6.conf.
agent1 .sources = source1
agent1 .sinks = sink1
agent1.channels = channel1
agent1 .sources.source1.channels = channel1
agent1 .sinks.sink1.channel = channel1
agent1 .sources.source1.type = spooldir
agent1 .sources.source1.spoolDir = /tmp/nrtcontent
agent1 .sinks.sink1 .type = hdfs
agent1 .sinks.sink1.hdfs.path = /tmp/flume
agent1.sinks.sink1.hdfs.filePrefix = events
agent1.sinks.sink1.hdfs.fileSuffix = .log
agent1 .sinks.sink1.hdfs.inUsePrefix = _
agent1 .sinks.sink1.hdfs.fileType = Data Stream
Step 4 : Run below command which will use this configuration file and append data in
hdfs.
Start flume service:
flume-ng agent -conf /home/cloudera/flumeconf -conf-file
/home/cloudera/fIumeconf/fIume6.conf -name agent1
Step 5 : Open another terminal and create a file in /tmp/nrtcontent
echo "I am preparing for CCA175 from ABCTechm.com" > /tmp/nrtcontent/.he1.txt
mv /tmp/nrtcontent/.he1.txt /tmp/nrtcontent/he1.txt
After few mins
echo "I am preparing for CCA175 from TopTech.com" > /tmp/nrtcontent/.qt1.txt
mv /tmp/nrtcontent/.qt1.txt /tmp/nrtcontent/qt1.txt


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