My IT Journey : Flume

Showing posts with label Flume. Show all posts

Monday, 27 October 2014

Apache Flume for Twitter Data Mining

Objective:

Using Apache Flume collect the Twitter data for data analysis.

Prerequisite :

Must have Twitter Application account to collect the data.
Basic knowledge of Flume life cycle.

Flume cannot collect the data from twitter using its existing in build flume source files. So we need to create our own flume source to collect the data from twitter and bind with Flume Event.

Here we are going to see how to create out custom flume source creation.

Deploy the source jar file in Flume plugin.s. Flume Execution to store the data from twitter to HDFS file system

Twitter Source :

This twitter source will serve the data collection source part in flume.

It will collect the data as a JSON Object format and binding it with Event.

Flume will collect this data from Source and store it into HDFS file system.

Here I used twitter stream version 2.2.6.

pom.xml

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"

xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">

<groupId>com.tamil</groupId>

<artifactId>TwitterSource</artifactId>

<groupId>org.twitter4j</groupId>

<artifactId>twitter4j-stream</artifactId>

</dependency>

<groupId>org.apache.flume</groupId>

<artifactId>flume-ng-core</artifactId>

<scope>provided</scope>

</dependency>

<groupId>org.apache.flume</groupId>

<artifactId>flume-ng-sdk</artifactId>

<scope>provided</scope>

</dependency>

<groupId>junit</groupId>

<artifactId>junit</artifactId>

</dependency>

</dependency>

<!-- <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-common</artifactId>

<version>2.5.0</version> <scope>provided</scope> </dependency> -->

</dependencies>

<build>

<artifactId>maven-assembly-plugin</artifactId>

<mainClass>com.tamil.TwitterSource</mainClass>

</manifest>

</archive>

<descriptorRef>jar-with-dependencies</descriptorRef>

</descriptorRefs>

</configuration>

<id>make-assembly</id>

<phase>package</phase>

<goals>

<goal>single</goal>

</goals>

</execution>

</executions>

</plugin>

</plugins>

</build>

</project>

TwitterSource.java

package com.tamil;

import java.util.HashMap;

import java.util.Map;

import org.apache.flume.Context;

import org.apache.flume.Event;

import org.apache.flume.EventDrivenSource;

import org.apache.flume.channel.ChannelProcessor;

import org.apache.flume.conf.Configurable;

import org.apache.flume.event.EventBuilder;

import org.apache.flume.source.AbstractSource;

import org.slf4j.Logger;

import org.slf4j.LoggerFactory;

import twitter4j.FilterQuery;

import twitter4j.Status;

import twitter4j.StatusDeletionNotice;

import twitter4j.StatusListener;

import twitter4j.TwitterStream;

import twitter4j.TwitterStreamFactory;

import twitter4j.conf.ConfigurationBuilder;

import twitter4j.json.DataObjectFactory;

public class TwitterSource extends AbstractSource implements EventDrivenSource, Configurable {

private static final Logger logger =LoggerFactory.getLogger(TwitterSource.class);

private String consumerKey;

private String consumerSecret;

private String accessToken;

private String accessTokenSecret;

private String[] keywords;

private TwitterStream twitterStream;

public void configure(Context context) {

consumerKey = context.getString("consumerKey");

consumerSecret = context.getString("consumerSecret");

accessToken = context.getString("accessToken");

accessTokenSecret = context.getString("accessTokenSecret");

String keywordString = context.getString("keywords");

if (keywordString.trim().length() == 0) {keywords = new String[0];}

else {

keywords = keywordString.split(",");

for (int i = 0; i < keywords.length; i++) {

keywords[i] = keywords[i].trim();

}

ConfigurationBuilder conBuilder = new ConfigurationBuilder();

conBuilder.setOAuthConsumerKey(consumerKey);

conBuilder.setOAuthConsumerSecret(consumerSecret);

conBuilder.setOAuthAccessToken(accessToken);

conBuilder.setOAuthAccessTokenSecret(accessTokenSecret);

conBuilder.setJSONStoreEnabled(true);

conBuilder.setHttpProxyHost("192.168.51.80");

conBuilder.setPrettyDebugEnabled(true);

conBuilder.setHttpProxyPort(3128);

conBuilder.setIncludeEntitiesEnabled(true);

twitterStream = new TwitterStreamFactory(conBuilder.build()).getInstance();

}

@Override

public void start() {

final ChannelProcessor channel = getChannelProcessor();

final Map<String, String> headers = new HashMap<String, String>();

StatusListener listener = new StatusListener() {

public void onStatus(Status status) {

logger.debug(status.getUser().getScreenName() + ": " + status.getText());

headers.put("timestamp", String.valueOf(status.getCreatedAt().getTime()));

Event event = EventBuilder.withBody(

DataObjectFactory.getRawJSON(status).getBytes(), headers);

channel.processEvent(event);

}

public void onDeletionNotice(StatusDeletionNotice statusDeletionNotice) {}

public void onTrackLimitationNotice(int numberOfLimitedStatuses) {}

public void onScrubGeo(long userId, long upToStatusId) {}

public void onException(Exception ex) {}

};

logger.debug("Setting up Twitter sample stream using consumer key {} and" +

" access token {}", new String[] { consumerKey, accessToken });

twitterStream.addListener(listener);

if (keywords.length == 0) {

logger.debug("Starting up Twitter sampling...");

twitterStream.sample();

}

else {

logger.debug("Starting up Twitter filtering...");

FilterQuery query = new FilterQuery().track(keywords);

twitterStream.filter(query);

}

super.start();

}

@Override

public void stop() {

logger.debug("Shutting down Twitter sample stream...");

twitterStream.shutdown();

super.stop();

}

Using maven build the jar file with corresponding dependency files .

mvn clean compile install assembly:assembly

Deploying Custom Jar file in Flume Plugins.

By Default Flume will be configured with some plugins.d path to get plugins from third party. Otherwise we can configure any folder with specific structure contain third party api as flume plugins folder using flume command line argument.

Basic structure of flume plugins folder

$/home/cloudera/Desktop/MyPlugin/plugins.d/

$/home/cloudera/Desktop/MyPlugin/plugins.d/custom-source-1/

$/home/cloudera/Desktop/MyPlugin/plugins.d/custom-source-1/lib/TamilSource.jar

$/home/cloudera/Desktop/MyPlugin/plugins.d/custom-source-1/libext/<Dependent files>

Twitter.conf

TwitterAgent.sources=Twitter

TwitterAgent.channels=MemChannel

TwitterAgent.sinks=HDFS

TwitterAgent.sources.Twitter.type=com.tamil.TwitterSource

TwitterAgent.sources.Twitter.channels=MemChannel

TwitterAgent.sources.Twitter.consumerKey=<consumerKey>

TwitterAgent.sources.Twitter.consumerSecret=< consumerSecret>

TwitterAgent.sources.Twitter.accessToken=< accessToken>

TwitterAgent.sources.Twitter.accessTokenSecret=< accessTokenSecret>

TwitterAgent.sources.Twitter.keywords=Internet Of Things, InternetOfThings,

internetofthings, IOT, iot , M2M , m2m

TwitterAgent.sinks.HDFS.channel=MemChannel

TwitterAgent.sinks.HDFS.type=hdfs

TwitterAgent.sinks.HDFS.hdfs.path=

hdfs://localhost.localdomain:8020/user/cloudera/mytwittes/%Y/%m/%d/%H/

TwitterAgent.sinks.HDFS.hdfs.fileType=DataStream

TwitterAgent.sinks.HDFS.hdfs.writeFormat=Text

TwitterAgent.sinks.HDFS.hdfs.batchSize=1000

TwitterAgent.sinks.HDFS.hdfs.rollSize=0

TwitterAgent.sinks.HDFS.hdfs.rollCount=10000

TwitterAgent.channels.MemChannel.type=memory

TwitterAgent.channels.MemChannel.capacity=10000

TwitterAgent.channels.MemChannel.transactionCapacity=100

Its time to run the Flume Script

$flume-ng agent -n TwitterAgent -f Twitter.conf --plugins-path /home/cloudera/Desktop/MyPlugin/plugins.d -Dflume.root.logger=DEBUG,console

Output will be :

14/10/26 09:44:19 INFO node.PollingPropertiesFileConfigurationProvider: Configuration provider starting

14/10/26 09:44:19 INFO node.PollingPropertiesFileConfigurationProvider: Reloading configuration file:Tamila.conf

14/10/26 09:44:19 INFO conf.FlumeConfiguration: Processing:HDFS

14/10/26 09:44:19 INFO conf.FlumeConfiguration: Added sinks: HDFS Agent: TwitterAgent

14/10/26 09:44:19 INFO conf.FlumeConfiguration: Processing:HDFS

14/10/26 09:44:19 INFO conf.FlumeConfiguration: Post-validation flume configuration contains configuration for agents: [TwitterAgent]

14/10/26 09:44:19 INFO node.AbstractConfigurationProvider: Creating channels

14/10/26 09:44:19 INFO channel.DefaultChannelFactory: Creating instance of channel MemChannel type memory

14/10/26 09:44:20 INFO node.AbstractConfigurationProvider: Created channel MemChannel

14/10/26 09:44:20 INFO source.DefaultSourceFactory: Creating instance of source Twitter, type com.tamil.TwitterSource

14/10/26 09:44:20 INFO sink.DefaultSinkFactory: Creating instance of sink: HDFS, type: hdfs

14/10/26 09:44:20 INFO hdfs.HDFSEventSink: Hadoop Security enabled: false

14/10/26 09:44:20 INFO node.AbstractConfigurationProvider: Channel MemChannel connected to [Twitter, HDFS]

14/10/26 09:44:20 INFO node.Application: Starting new configuration:{ sourceRunners:{Twitter=EventDrivenSourceRunner: { source:com.tamil.TwitterSource{name:Twitter,state:IDLE} }} sinkRunners:{HDFS=SinkRunner: { policy:org.apache.flume.sink.DefaultSinkProcessor@79c8a90d counterGroup:{ name:null counters:{} } }} channels:{MemChannel=org.apache.flume.channel.MemoryChannel{name: MemChannel}} }

14/10/26 09:44:20 INFO node.Application: Starting Channel MemChannel

14/10/26 09:44:20 INFO instrumentation.MonitoredCounterGroup: Monitored counter group for type: CHANNEL, name: MemChannel: Successfully registered new MBean.

14/10/26 09:44:20 INFO instrumentation.MonitoredCounterGroup: Component type: CHANNEL, name: MemChannel started

14/10/26 09:44:20 INFO node.Application: Starting Sink HDFS

14/10/26 09:44:20 INFO node.Application: Starting Source Twitter

14/10/26 09:44:20 INFO instrumentation.MonitoredCounterGroup: Monitored counter group for type: SINK, name: HDFS: Successfully registered new MBean.

14/10/26 09:44:20 INFO instrumentation.MonitoredCounterGroup: Component type: SINK, name: HDFS started

14/10/26 09:44:20 INFO twitter4j.TwitterStreamImpl: Establishing connection.

Now you can check the data in HDFS using

$ hadoop fs -ls hdfs://localhost.localdomain/user/cloudera/mytwittes

Thursday, 18 September 2014

My First Apache Flume Program

My Objective:

Flume should point to a source file [ typically log file] in local system.
Flume should read the file and store the file into HDFS specific folder specified in flume configuration.
Whenever any changes in the file occur Flume should read and update the same into HDFS file system.

Instead of Streaming log file , I created my own text file similor to log file. So whenever I change the content using editor and save flume agent should run and invoke the changes from local file and it should update the same into HDFS file.

1. Create a local file into the following folder.

/home/cloudera/Desktop/JavaCode/FlumeExample/first/myLog.log

2. Create a HDFS Directory to store to configure with Flume.

So that flume will read the local file MyLog.log and write into HDFS directory with some file name [ HDFS will take care to create HDFS File name ]

$ hadoop fs -mkdir hdfs://localhost.localdomain/user/cloudera/tamilflume

3. Create Flume Configuration file "myflume.conf"

agent.sources=exec-source

agent.sinks=hdfs-sink

agent.channels=ch1

agent.sources.exec-source.type=exec

agent.sources.exec-source.command=tail -F /home/cloudera/Desktop/JavaCode/FlumeExample/first/myLog.log

agent.sinks.hdfs-sink.type=hdfs

agent.sinks.hdfs-sink.hdfs.path= hdfs://localhost.localdomain/user/cloudera/tamilflume

agent.sinks.hdfs-sink.hdfs.filePrefix=apacheaccess

agent.sinks.hdfs-sink.hdfs.rollInterval=10

agent.sinks.hdfs-sink.hdfs.rollSize=0

agent.channels.ch1.type=memory

agent.channels.ch1.capacity=1000

agent.sources.exec-source.channels=ch1

agent.sinks.hdfs-sink.channel=ch1

Here 'agent' is the name for the flume agent,

so configuration file uses the name for source, sink & channel configuration.

source :

type = exec [ executable command ]

command is linux tail command , like tail the log file.

sink :

type is hdfs [ Hadoop file syste ]

path is newly created hdfs://localhost.localdomain/user/cloudera/tamilflume path.

fileprefix string , that all the hdfs files in hdfs directory will starts with this string value.

channel :

type is memory.

capacity is 1000 . means 1000 agents can run.

Its time to run the flume agent.

Open the terminal and get into the location where you stored your myflume.conf.

$ flume-ng agent -n agent -c conf -f myflume.conf --name agent -Dflume.root.logger=INFO,console

Now you can see Flume agent will start running

SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.

SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]

14/09/17 10:25:34 INFO node.PollingPropertiesFileConfigurationProvider: Configuration provider starting

14/09/17 10:25:34 INFO node.PollingPropertiesFileConfigurationProvider: Reloading configuration file:myflume.conf

14/09/17 10:25:34 INFO conf.FlumeConfiguration: Added sinks: hdfs-sink Agent: agent

14/09/17 10:25:34 INFO conf.FlumeConfiguration: Processing:hdfs-sink

14/09/17 10:25:34 INFO conf.FlumeConfiguration: Post-validation flume configuration contains configuration for agents: [agent]

14/09/17 10:25:34 INFO node.AbstractConfigurationProvider: Creating channels

14/09/17 10:25:34 INFO channel.DefaultChannelFactory: Creating instance of channel ch1 type memory

14/09/17 10:25:34 INFO node.AbstractConfigurationProvider: Created channel ch1

14/09/17 10:25:34 INFO source.DefaultSourceFactory: Creating instance of source exec-source, type exec

14/09/17 10:25:34 INFO sink.DefaultSinkFactory: Creating instance of sink: hdfs-sink, type: hdfs

14/09/17 10:25:35 INFO hdfs.HDFSEventSink: Hadoop Security enabled: false

14/09/17 10:25:35 INFO node.AbstractConfigurationProvider: Channel ch1 connected to [exec-source, hdfs-sink]

14/09/17 10:25:35 INFO node.Application: Starting new configuration:{ sourceRunners:{exec-source=EventDrivenSourceRunner: { source:org.apache.flume.source.ExecSource{name:exec-source,state:IDLE} }} sinkRunners:{hdfs-sink=SinkRunner: { policy:org.apache.flume.sink.DefaultSinkProcessor@4a776482 counterGroup:{ name:null counters:{} } }} channels:{ch1=org.apache.flume.channel.MemoryChannel{name: ch1}} }

14/09/17 10:25:35 INFO node.Application: Starting Channel ch1

14/09/17 10:25:35 INFO instrumentation.MonitoredCounterGroup: Monitored counter group for type: CHANNEL, name: ch1: Successfully registered new MBean.

14/09/17 10:25:35 INFO instrumentation.MonitoredCounterGroup: Component type: CHANNEL, name: ch1 started

14/09/17 10:25:35 INFO node.Application: Starting Sink hdfs-sink

14/09/17 10:25:35 INFO node.Application: Starting Source exec-source

14/09/17 10:25:35 INFO instrumentation.MonitoredCounterGroup: Monitored counter group for type: SINK, name: hdfs-sink: Successfully registered new MBean.

14/09/17 10:25:35 INFO instrumentation.MonitoredCounterGroup: Component type: SINK, name: hdfs-sink started

14/09/17 10:25:35 INFO source.ExecSource: Exec source starting with command:tail -F /home/cloudera/Desktop/JavaCode/FlumeExample/first/myLog.log

14/09/17 10:25:35 INFO instrumentation.MonitoredCounterGroup: Monitored counter group for type: SOURCE, name: exec-source: Successfully registered new MBean.

14/09/17 10:25:35 INFO instrumentation.MonitoredCounterGroup: Component type: SOURCE, name: exec-source started

14/09/17 10:25:39 INFO hdfs.HDFSSequenceFile: writeFormat = Writable, UseRawLocalFileSystem = false

14/09/17 10:25:39 INFO hdfs.BucketWriter: Creating hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974739772.tmp

14/09/17 10:25:51 INFO hdfs.BucketWriter: Closing hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974739772.tmp

14/09/17 10:25:51 INFO hdfs.BucketWriter: Close tries incremented

14/09/17 10:25:51 INFO hdfs.BucketWriter: Renaming hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974739772.tmp to hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974739772

Whenever you edit the log file and save you can see the Flume writer will trigger in Flume agent console.

14/09/17 10:25:51 INFO hdfs.HDFSEventSink: Writer callback called.

14/09/17 10:25:59 INFO hdfs.HDFSSequenceFile: writeFormat = Writable, UseRawLocalFileSystem = false

14/09/17 10:25:59 INFO hdfs.BucketWriter: Creating hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974759526.tmp

14/09/17 10:26:09 INFO hdfs.BucketWriter: Closing hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974759526.tmp

14/09/17 10:26:09 INFO hdfs.BucketWriter: Close tries incremented

14/09/17 10:26:09 INFO hdfs.BucketWriter: Renaming hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974759526.tmp to hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974759526

14/09/17 10:26:09 INFO hdfs.HDFSEventSink: Writer callback called.

14/09/17 10:26:32 INFO hdfs.HDFSSequenceFile: writeFormat = Writable, UseRawLocalFileSystem = false

14/09/17 10:26:32 INFO hdfs.BucketWriter: Creating hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974792793.tmp

14/09/17 10:26:42 INFO hdfs.BucketWriter: Closing hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974792793.tmp

14/09/17 10:26:42 INFO hdfs.BucketWriter: Close tries incremented

14/09/17 10:26:42 INFO hdfs.BucketWriter: Renaming hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974792793.tmp to hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974792793

14/09/17 10:26:42 INFO hdfs.HDFSEventSink: Writer callback called.

14/09/17 10:27:03 INFO hdfs.HDFSSequenceFile: writeFormat = Writable, UseRawLocalFileSystem = false

14/09/17 10:27:03 INFO hdfs.BucketWriter: Creating hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974823232.tmp

14/09/17 10:27:13 INFO hdfs.BucketWriter: Closing hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974823232.tmp

14/09/17 10:27:13 INFO hdfs.BucketWriter: Close tries incremented

14/09/17 10:27:13 INFO hdfs.BucketWriter: Renaming hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974823232.tmp to hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974823232

14/09/17 10:27:13 INFO hdfs.HDFSEventSink: Writer callback called.

Even you can see the HDFS folder to see the files.

$ hadoop fs -ls hdfs://localhost.localdomain/user/cloudera/tamilflume

Found 4 items

-rw-r--r-- 1 cloudera cloudera 142 2014-09-17 10:25 hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974739772

-rw-r--r-- 1 cloudera cloudera 170 2014-09-17 10:26 hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974759526

-rw-r--r-- 1 cloudera cloudera 200 2014-09-17 10:26 hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974792793

-rw-r--r-- 1 cloudera cloudera 228 2014-09-17 10:27 hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974823232

You can print the file content using

$ hadoop fs -cat hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974739772

SEQ !org.apache.hadoop.io.LongWritable"org.apache.hadoop.io.BytesWritable��Bu�'�|ȊH��*hikumar

H��.

$ hadoop fs -cat hdfs://localhost.localdomain/user/cloudera/tamilflume/apacheaccess.1410974759526

SEQ !org.apache.hadoop.io.LongWritable"org.apache.hadoop.io.BytesWritablezC��=

SrW�

�iq�B�H��:�hikumarH��;Hi Tamil

Well-done guys. You done it :-).