Kalyan Spark Streaming + Phoenix + Flume + Play Project

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          Kalyan Spark + Phoenix + Flume + Play Project
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1. Generate Sample Users

2. Generate Sample Product Logs

3. Using the `Flume` transfer the `product.log` file changes to `Phoenix`

4. Use `Spark Streaming` to listen `Flume` data

5. Save the streaming data into `Phoenix` for analytics

6. Give Real-Time analysis on `Phoenix` data using UI tools

7. You can still add your own features

8. Visualize data in UI


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                  Execute the below operations
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1. Execute the below `Phoenix Operations`

Start the Hadoop , Hbase & Phoenix

DROP TABLE users;

CREATE TABLE users("userid" bigint PRIMARY KEY, "username" varchar, "password" varchar, "email" varchar, "country" varchar, "state" varchar, "city" varchar, "dt" varchar);

DROP TABLE productlog;

CREATE TABLE IF NOT EXISTS productlog("userid" bigint not null, "username" varchar, "email" varchar, "product" varchar not null, "transaction" varchar, "country" varchar, "state" varchar, "city" varchar, "dt" varchar not null CONSTRAINT pk PRIMARY KEY ("userid", "product", "dt"));


2. Generate Sample Users by running `GenerateUsers.scala` code



3. Execute the below `Flume Operations`

Create `kalyan-spark-project` folder in `$FLUME_HOME` folder

Copy `exec-avro.conf` file into `$FLUME_HOME/kalyan-spark-project` folder

Execute below command to start flume agent

$FLUME_HOME/bin/flume-ng agent -n agent --conf $FLUME_HOME/conf -f $FLUME_HOME/kalyan-spark-project/exec-avro.conf -Dflume.root.logger=DEBUG,console



4. Generate Sample Logs by running `GenerateProductLog.scala`



5. Execute the below `Spark Operations`

Stream Sample Logs From Flume Sink using `Spark Streaming` by running  `KalyanSparkFlumeStreaming.scala` and pass the below arguments

2 localhost 1234 false



Stream Sample Logs From Kafka Producer using `Spark Streaming` by running `KalyanSparkKafkaStreaming.scala` and pass the below arguments

2 topic1,topic2 localhost:9092 false



6. Use Zeppelin for UI



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                Kalyan Spark + Phoenix + Flume + Play Project : Visualization
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1. Open new Terminal

2. Change the directory using below command

cd /home/orienit/spark/workspace/kalyan-spark-streaming-phoenix-project

3. Run the Project using below command

activator run



4. Open the browser with below link : Home Page

http://localhost:9000/




5. Open the browser with below link : Users Page

http://localhost:9000/kalyan/users



6. Open the browser with below link : Different Graphs

http://localhost:9000/kalyan/home



7. Open the browser with below link : Products Page 1

http://localhost:9000/kalyan/graphs/products



8. Open the browser with below link : Products Page 2

http://localhost:9000/kalyan/graphs/products




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    Kalyan Spark + Phoenix + Flume + Play Project : Zeppelin Visualization
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1. Open new Terminal

2. Run the Zeppelin Project using below command

zeppelin-daemon.sh start

3. Open the browser using below link

http://localhost:8080/

4. Create a new Notebook with name is `Kalyan Spark Streaming Phoenix Project`

5. Follow the below screenshot



6. Run the paragraphs

7. Execute below command

%sql

select * from prouctlog



8. Execute below command

%sql

select userid, count(*) as cnt from prouctlog group by userid



9. Check the below graphs

 

How To Stream JSON Data Into Hive Using Apache Flume

Pre-Requisites of Flume + Hive Project:

hadoop-2.6.0
flume-1.6.0
hive-1.2.1
java-1.7

NOTE: Make sure that install all the above components

Flume + Hive Project Download Links:

`hadoop-2.6.0.tar.gz` ==> link
`apache-flume-1.6.0-bin.tar.gz` ==> link
`apache-hive-1.2.1-src.tar.gz` ==> link
`kalyan-json-hive-agent.conf` ==> link
`bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar` ==> link

-----------------------------------------------------------------------------

1. create "kalyan-json-hive-agent.conf" file with below content

agent.sources = EXEC
agent.sinks = HIVE
agent.channels = MemChannel

agent.sources.EXEC.type = exec
agent.sources.EXEC.command = tail -F /tmp/users.json
agent.sources.EXEC.channels = MemChannel

agent.sinks.HIVE.type = hive
agent.sinks.HIVE.hive.metastore = thrift://localhost:9083
agent.sinks.HIVE.hive.database = kalyan
agent.sinks.HIVE.hive.table = users2
agent.sinks.HIVE.serializer = JSON
agent.sinks.HIVE.channel = MemChannel

agent.channels.MemChannel.type = memory
agent.channels.MemChannel.capacity = 1000
agent.channels.MemChannel.transactionCapacity = 100


2. Copy "kalyan-json-hive-agent.conf" file into "$FUME_HOME/conf" folder

3. Copy "bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar" file into "$FLUME_HOME/lib" folder

4. Generate Large Amount of Sample JSON data follow this article.

5. Execute Below Command to Generate Sample JSON data with 100 lines. Increase this number to get more data ...

java -cp $FLUME_HOME/lib/bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar \
com.orienit.kalyan.examples.GenerateUsers \
-f /tmp/users.json \
-n 100 \
-s 1

6. Verify the Sample JSON data in Console, using below command

cat /tmp/users.json

7. To work with Flume + Hive Integration

Follow the below steps

Follow this aritcle to work with below procedure.

Refer: http://kalyanbigdatatraining.blogspot.in/2016/10/how-to-work-with-acid-functionality-in.html


i. update '~/.bashrc' file with below changes

export HIVE_HOME=/home/orienit/work/apache-hive-1.2.1-bin
export PATH=$HIVE_HOME/bin:$PATH

export HCAT_HOME=$HIVE_HOME/hcatalog
export PATH=$HCAT_HOME/bin:$PATH





ii. reopen the Terminal

iii. start the hive using 'hive' command.




iv. list out all the databases in hive using 'show databases;' command




v. create a new database (kalyan) in hive using below command.

create database if not exists kalyan;

vi. use kalyan database using 'use kalyan;' command




vii. list out all the tables in kalyan database using 'show tables;' command.




viii. create 'users2' table in kalyan database using below command.

CREATE TABLE IF NOT EXISTS kalyan.users2 (
  userid BIGINT,
  username STRING,
  password STRING,
  email STRING,
  country STRING,
  state STRING,
  city STRING,
  dt STRING
)
clustered by (userid) into 5 buckets stored as orc;

ix. Display the data from 'users2' table using below command

select * from users2;

x. start the hive in external metastore db mode using below command

hive --service metastore




8. Execute the below command to `Extract data from JSON data into Hive using Flume`

$FLUME_HOME/bin/flume-ng agent -n agent --conf $FLUME_HOME/conf -f $FLUME_HOME/conf/kalyan-json-hive-agent.conf -Dflume.root.logger=DEBUG,console

9. Verify the data in console

10. Verify the data in Hive 

Execute below command to get the data from hive table 'users2'

select * from users2;

How To Stream CSV Data Into Hive Using Apache Flume

Pre-Requisites of Flume + Hive Project:

hadoop-2.6.0
flume-1.6.0
hive-1.2.1
java-1.7

NOTE: Make sure that install all the above components

Flume + Hive Project Download Links:

`hadoop-2.6.0.tar.gz` ==> link
`apache-flume-1.6.0-bin.tar.gz` ==> link
`apache-hive-1.2.1-src.tar.gz` ==> link
`kalyan-csv-hive-agent.conf` ==> link
`bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar` ==> link

-----------------------------------------------------------------------------

1. create "kalyan-csv-hive-agent.conf" file with below content

agent.sources = EXEC
agent.sinks = HIVE
agent.channels = MemChannel

agent.sources.EXEC.type = exec
agent.sources.EXEC.command = tail -F /tmp/users.csv
agent.sources.EXEC.channels = MemChannel

agent.sinks.HIVE.type = hive
agent.sinks.HIVE.hive.metastore = thrift://localhost:9083
agent.sinks.HIVE.hive.database = kalyan
agent.sinks.HIVE.hive.table = users1
agent.sinks.HIVE.serializer = DELIMITED
agent.sinks.HIVE.serializer.delimiter = ","
agent.sinks.HIVE.serializer.fieldnames=userid,username,password,email,country,state,city,dt
agent.sinks.HIVE.channel = MemChannel

agent.channels.MemChannel.type = memory
agent.channels.MemChannel.capacity = 1000
agent.channels.MemChannel.transactionCapacity = 100


2. Copy "kalyan-csv-hive-agent.conf" file into "$FUME_HOME/conf" folder

3. Copy "bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar" file into "$FLUME_HOME/lib" folder

4. Generate Large Amount of Sample CSV data follow this article.

5. Execute Below Command to Generate Sample CSV data with 100 lines. Increase this number to get more data ...

java -cp $FLUME_HOME/lib/bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar \
com.orienit.kalyan.examples.GenerateUsers \
-f /tmp/users.csv \
-d ',' \
-n 100 \
-s 1




6. Verify the Sample CSV data in Console, using below command

cat /tmp/users.csv

7. To work with Flume + Hive Integration

Follow the below steps

Follow this aritcle to work with below procedure.

Refer: http://kalyanbigdatatraining.blogspot.in/2016/10/how-to-work-with-acid-functionality-in.html


i. update '~/.bashrc' file with below changes

export HIVE_HOME=/home/orienit/work/apache-hive-1.2.1-bin
export PATH=$HIVE_HOME/bin:$PATH

export HCAT_HOME=$HIVE_HOME/hcatalog
export PATH=$HCAT_HOME/bin:$PATH





ii. reopen the Terminal

iii. start the hive using 'hive' command.




iv. list out all the databases in hive using 'show databases;' command




v. create a new database (kalyan) in hive using below command.

create database if not exists kalyan;




vi. use kalyan database using 'use kalyan;' command




vii. list out all the tables in kalyan database using 'show tables;' command.




viii. create 'users1' table in kalyan database using below command.

CREATE TABLE IF NOT EXISTS kalyan.users1 (
  userid BIGINT,
  username STRING,
  password STRING,
  email STRING,
  country STRING,
  state STRING,
  city STRING,
  dt STRING
)
clustered by (userid) into 5 buckets stored as orc;




ix. Display the data from 'users1' table using below command

select * from users1;



x. start the hive in external metastore db mode using below command

hive --service metastore




8. Execute the below command to `Extract data from CSV data into Hive using Flume`

$FLUME_HOME/bin/flume-ng agent -n agent --conf $FLUME_HOME/conf -f $FLUME_HOME/conf/kalyan-csv-hive-agent.conf -Dflume.root.logger=DEBUG,console

9. Verify the data in console




10. Verify the data in Hive

Execute below command to get the data from hive table 'users1'

select * from users1;

How To Stream JSON Data Into Phoenix Using Apache Flume

Pre-Requisites of Flume Project:

hadoop-2.6.0
flume-1.6.0
hbase-1.1.2
phoenix-4.7.0
java-1.7

NOTE: Make sure that install all the above components

Flume Project Download Links:

`hadoop-2.6.0.tar.gz` ==> link
`apache-flume-1.6.0-bin.tar.gz` ==> link
`hbase-1.1.2-bin.tar.gz` ==> link
`phoenix-4.7.0-HBase-1.1-bin.tar.gz` ==> link
`kalyan-json-phoenix-agent.conf` ==> link
`bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar` ==> link
`phoenix-flume-4.7.0-HBase-1.1.jar` ==> link
`json-path-2.2.0.jar` ==> link
`commons-io-2.4.jar` ==> link

-----------------------------------------------------------------------------

1. create "kalyan-json-phoenix-agent.conf" file with below content

agent.sources = EXEC
agent.channels = MemChannel
agent.sinks = PHOENIX

agent.sources.EXEC.type = exec
agent.sources.EXEC.command = tail -F /tmp/users.json
agent.sources.EXEC.channels = MemChannel

agent.sinks.PHOENIX.type = org.apache.phoenix.flume.sink.PhoenixSink
agent.sinks.PHOENIX.batchSize = 10
agent.sinks.PHOENIX.zookeeperQuorum = localhost
agent.sinks.PHOENIX.table = users2
agent.sinks.PHOENIX.ddl = CREATE TABLE IF NOT EXISTS users2 (userid BIGINT NOT NULL, username VARCHAR, password VARCHAR, email VARCHAR, country VARCHAR, state VARCHAR, city VARCHAR, dt VARCHAR NOT NULL CONSTRAINT PK PRIMARY KEY (userid, dt))
agent.sinks.PHOENIX.serializer = json
agent.sinks.PHOENIX.serializer.columnsMapping = {"userid":"userid", "username":"username", "password":"password", "email":"email", "country":"country", "state":"state", "city":"city", "dt":"dt"}
agent.sinks.PHOENIX.serializer.partialSchema = true
agent.sinks.PHOENIX.serializer.columns = userid,username,password,email,country,state,city,dt
agent.sinks.PHOENIX.channel = MemChannel

agent.channels.MemChannel.type = memory
agent.channels.MemChannel.capacity = 1000
agent.channels.MemChannel.transactionCapacity = 100

2. Copy "kalyan-json-phoenix-agent.conf" file into "$FUME_HOME/conf" folder

3. Copy "phoenix-flume-4.7.0-HBase-1.1.jar, json-path-2.2.0.jar, commons-io-2.4.jar and bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar" files into"$FLUME_HOME/lib" folder

4. Generate Large Amount of Sample JSON data follow this article.

5. Execute Below Command to Generate Sample JSON data with 100 lines. Increase this number to get more data ...

java -cp $FLUME_HOME/lib/bigdata-examples-0.0.1-SNAPSHOT-dependency-jars.jar \
com.orienit.kalyan.examples.GenerateUsers \
-f /tmp/users.json \
-n 100 \
-s 1




6. Verify the Sample JSON data in Console, using below command

cat /tmp/users.json




7. To work with Flume + Phoenix Integration

Follow the below steps

i. start the hbase using below 'start-hbase.sh' command.



ii. verify the hbase is running or not with "jps" command




iii. Start the phoenix using below 'sqlline.py localhost' command.



iv. list out all the tables in phoenix using '!tables' command




8. Execute the below command to `Extract data from JSON data into Phoenix using Flume`

$FLUME_HOME/bin/flume-ng agent -n agent --conf $FLUME_HOME/conf -f $FLUME_HOME/conf/kalyan-json-phoenix-agent.conf -Dflume.root.logger=DEBUG,console




9. Verify the data in console




10. Verify the data in Phoenix

Execute below command to get the data from phoenix table 'users2'

!tables

select count(*) from users2;

select * from users2;