subject:"Storm KafkaSpout Integration"

Re: Storm KafkaSpout Integration

2016-04-04 Thread John Reilly

.executor - Opened
> spout words:(10)
> 32689 [Thread-17-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(6)
> 32688 [Thread-13-words] WARN  storm.kafka.KafkaUtils - there are more
> tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32688 [Thread-21-words] WARN  storm.kafka.KafkaUtils - there are more
> tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32739 [Thread-21-words] WARN  storm.kafka.KafkaUtils - Task [6/10] no
> partitions assigned
> 32739 [Thread-21-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(8)
> 32687 [Thread-27-words] WARN  storm.kafka.KafkaUtils - there are more
> tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32740 [Thread-27-words] WARN  storm.kafka.KafkaUtils - Task [9/10] no
> partitions assigned
> 32740 [Thread-27-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(11)
> 32687 [Thread-23-words] WARN  storm.kafka.KafkaUtils - there are more
> tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32740 [Thread-23-words] WARN  storm.kafka.KafkaUtils - Task [7/10] no
> partitions assigned
> 32736 [Thread-29-words] WARN  storm.kafka.KafkaUtils - Task [10/10] no
> partitions assigned
> 32742 [Thread-17-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(6)
> 32872 [Thread-29-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(12)
> 32742 [Thread-25-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(10)
> 32742 [Thread-21-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(8)
> 32742 [Thread-27-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(11)
> 32742 [Thread-19-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(7)
> 32741 [Thread-15-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(5)
> 32740 [Thread-13-words] WARN  storm.kafka.KafkaUtils - Task [2/10] no
> partitions assigned
> 32873 [Thread-29-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(12)
> 32872 [Thread-23-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(9)
> 32873 [Thread-13-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(4)
> 32873 [Thread-23-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(9)
> 32873 [Thread-13-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(4)
> 37756 [Thread-23-words-EventThread] INFO
>  org.apache.curator.framework.state.ConnectionStateManager - State change:
> CONNECTED
> 37757 [Thread-17-words-EventThread] INFO
>  org.apache.curator.framework.state.ConnectionStateManager - State change:
> CONNECTED
> 37757 [Thread-21-words-EventThread] INFO
>  org.apache.curator.framework.state.ConnectionStateManager - State change:
> CONNECTED
> 37757 [Thread-11-words-EventThread] INFO
>  org.apache.curator.framework.state.ConnectionStateManager - State change:
> CONNECTED
> 37773 [Thread-11-words] INFO  storm.kafka.PartitionManager - Read
> partition information from: /twitter/twitter-topic-id/partition_0  --> null
> 37915 [Thread-11-words] INFO  storm.kafka.PartitionManager - No partition
> information found, using configuration to determine offset
> 37915 [Thread-11-words] INFO  storm.kafka.PartitionManager - Starting
> Kafka 127.0.0.1:0 from offset 185
> 37916 [Thread-11-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(3)
> 37917 [Thread-11-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(3)
> 62005 [Thread-11-words] INFO  backtype.storm.daemon.executor - Processing
> received message source: __system:-1, stream: __tick, id: {}, [30]
> 62013 [Thread-13-words] INFO  backtype.storm.daemon.executor - Processing
> received message source: __system:-1, stream: __tick, id: {}, [30]
>
>
> --
> Date: Wed, 30 Mar 2016 10:10:54 +0530
> Subject: Re: Storm KafkaSpout Integration
> From: dkira...@aadhya-analytics.com
> To: user@storm.apache.org
>
>
> Hi david,
>
> I think everything is good but you are missing a statement
> config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1); add it after the line
> config.setDebug(true);
>
> *Best regards,*
> *K.Sai Dilip Reddy.*
>
> On Tue, Mar 29, 2016 at 10:03 PM, david kavanagh <david_...@hotmail.com>
> wrote:
>
> Hi all,
>
> I am currently trying use TestTopologyStaticHosts to try connect the
> KafkaSpout to a Kafka topic. I have a ZooKeeper and a Kafka instance
> running on my localhost. I have a topic named "twitter-topic" that has some
> tweets in it. This is all working as expected. I can run th

RE: Storm KafkaSpout Integration

2016-04-01 Thread david kavanagh

Larry,
Could you please explain yourself? A single worded email telling me what to do 
is confusing and ignorant.Why are you telling me to unsubscribe? I was trying 
to be helpful by giving someone some code that they requested.  
RegardsDavid

Date: Fri, 1 Apr 2016 10:25:51 +0100
Subject: Re: Storm KafkaSpout Integration
From: larrya...@gmail.com
To: user@storm.apache.org

unsubscribe
2016-04-01 10:18 GMT+01:00 david kavanagh <david_...@hotmail.com>:



Hey,
What i found online was a simple java Kafka Consumer, and i used that code to 
write my own KafkaSpout.Here is the link to the consumer that i found: 
http://wpcertification.blogspot.ie/2014/08/java-client-for-publishing-and.html
I am using my implementation for a college assignment. Its working well enough 
for me to do what i need, but i doubt very much that it would be production 
quality. Here is the code anyway, it might be useful for something.
RegardsDavid
---
package storm.kafka;
import backtype.storm.Config;import backtype.storm.metric.api.IMetric;import 
backtype.storm.spout.SpoutOutputCollector;import 
backtype.storm.task.TopologyContext;import 
backtype.storm.topology.OutputFieldsDeclarer;import 
backtype.storm.topology.base.BaseRichSpout;import kafka.message.Message;import 
backtype.storm.tuple.Fields;import backtype.storm.tuple.Values;import 
backtype.storm.utils.Utils;import org.slf4j.Logger;import 
org.slf4j.LoggerFactory;import storm.kafka.PartitionManager.KafkaMessageId;
import java.util.*;
import java.io.UnsupportedEncodingException;import java.nio.ByteBuffer;import 
java.util.HashMap;import java.util.List;import java.util.Map;import 
java.util.Properties;
import kafka.consumer.Consumer;import kafka.consumer.ConsumerConfig;import 
kafka.consumer.ConsumerIterator;import kafka.consumer.KafkaStream;import 
kafka.javaapi.consumer.ConsumerConnector;import 
kafka.javaapi.message.ByteBufferMessageSet;import 
kafka.message.MessageAndOffset;
public class MyKafkaSpout extends BaseRichSpout {
SpoutOutputCollector _collector;KafkaStream<byte[], byte[]> _stream;
public static class KafkaConnector extends Thread {
final static String clientId = "KafkaTweetConsumer";final 
static String TOPIC = "twitter-topic";ConsumerConnector 
consumerConnector;
public KafkaConnector(){Properties properties = new 
Properties();   
properties.put("zookeeper.connect","localhost:2181");   
properties.put("group.id","test-group");ConsumerConfig 
consumerConfig = new ConsumerConfig(properties); consumerConnector = 
Consumer.createJavaConsumerConnector(consumerConfig);   }
public KafkaStream<byte[], byte[]> getStream() {
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(TOPIC, new Integer(1));   Map<String, 
List<KafkaStream<byte[], byte[]>>> consumerMap = 
consumerConnector.createMessageStreams(topicCountMap); 
KafkaStream<byte[], byte[]> kafkaStream =  consumerMap.get(TOPIC).get(0);   
return kafkaStream; }}


@Overridepublic void open(Map conf, final TopologyContext context, 
final SpoutOutputCollector collector) {  _collector = collector;
KafkaConnector kafkaConnector = new KafkaConnector();   _stream 
= kafkaConnector.getStream();
}
@Override   public void nextTuple() {   ConsumerIterator<byte[], 
byte[]> it = _stream.iterator();   String message = new 
String(it.next().message());   _collector.emit(new Values(message));   }
@Override   public void ack(Object id) {}
@Override   public void fail(Object id) {   }
@Overridepublic void declareOutputFields(OutputFieldsDeclarer 
declarer) {   declarer.declare(new Fields("tweet"));}}
 

Date: Thu, 31 Mar 2016 11:12:38 -0700
Subject: Re: Storm KafkaSpout Integration
From: tech.login@gmail.com
To: user@storm.apache.org

Hey David,
I would be interested in seeing what Kafka-Spouts you found online and why you 
found them better.Also, if you have your own Kafka-Spout opensourced in github, 
a link to that would be great too.
Thanks Tid
On Thu, Mar 31, 2016 at 2:21 AM, david kavanagh <david_...@hotmail.com> wrote:



Hi Spico,
I changed the parallelism as you suggested but it didn't work. Yesterday 
evening i gave up on using the KafkaSpout class that comes with storm. I found 
some Kafka consumer java classes online and wrote my own Kafka spout which is 
working fine. Thanks for the advice anyway. 
RegardsDavid 
Date: Wed, 30 Mar 2016 21:33:38 +0300
Subject: Re: Storm KafkaSpout Integration
From: spicoflo...@gmail.com
To: user@storm.apache.org

hi,
 i think the problem that you have is

Re: Storm KafkaSpout Integration

2016-04-01 Thread Larry Akah

unsubscribe

2016-04-01 10:18 GMT+01:00 david kavanagh <david_...@hotmail.com>:

> Hey,
>
> What i found online was a simple java Kafka Consumer, and i used that code
> to write my own KafkaSpout.
> Here is the link to the consumer that i found:
> http://wpcertification.blogspot.ie/2014/08/java-client-for-publishing-and.html
>
> I am using my implementation for a college assignment. Its working well
> enough for me to do what i need, but i doubt very much that it would be
> production quality. Here is the code anyway, it might be useful for
> something.
>
> Regards
> David
>
> ---
>
> package storm.kafka;
>
> import backtype.storm.Config;
> import backtype.storm.metric.api.IMetric;
> import backtype.storm.spout.SpoutOutputCollector;
> import backtype.storm.task.TopologyContext;
> import backtype.storm.topology.OutputFieldsDeclarer;
> import backtype.storm.topology.base.BaseRichSpout;
> import kafka.message.Message;
> import backtype.storm.tuple.Fields;
> import backtype.storm.tuple.Values;
> import backtype.storm.utils.Utils;
> import org.slf4j.Logger;
> import org.slf4j.LoggerFactory;
> import storm.kafka.PartitionManager.KafkaMessageId;
>
> import java.util.*;
>
> import java.io.UnsupportedEncodingException;
> import java.nio.ByteBuffer;
> import java.util.HashMap;
> import java.util.List;
> import java.util.Map;
> import java.util.Properties;
>
> import kafka.consumer.Consumer;
> import kafka.consumer.ConsumerConfig;
> import kafka.consumer.ConsumerIterator;
> import kafka.consumer.KafkaStream;
> import kafka.javaapi.consumer.ConsumerConnector;
> import kafka.javaapi.message.ByteBufferMessageSet;
> import kafka.message.MessageAndOffset;
>
> public class MyKafkaSpout extends BaseRichSpout {
>
> SpoutOutputCollector _collector;
> KafkaStream<byte[], byte[]> _stream;
>
> public static class KafkaConnector extends Thread {
>
> final static String clientId = "KafkaTweetConsumer";
> final static String TOPIC = "twitter-topic";
> ConsumerConnector consumerConnector;
>
> public KafkaConnector(){
>Properties properties = new Properties();
>properties.put("zookeeper.connect","localhost:2181");
>properties.put("group.id","test-group");
>ConsumerConfig consumerConfig = new ConsumerConfig(properties);
>consumerConnector =
> Consumer.createJavaConsumerConnector(consumerConfig);
> }
>
> public KafkaStream<byte[], byte[]> getStream() {
> Map<String, Integer> topicCountMap = new HashMap<String,
> Integer>();
> topicCountMap.put(TOPIC, new Integer(1));
> Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap =
> consumerConnector.createMessageStreams(topicCountMap);
> KafkaStream<byte[], byte[]> kafkaStream =
>  consumerMap.get(TOPIC).get(0);
> return kafkaStream;
> }
> }
>
>
>
> @Override
> public void open(Map conf, final TopologyContext context, final
> SpoutOutputCollector collector) {
> _collector = collector;
>
> KafkaConnector kafkaConnector = new KafkaConnector();
> _stream = kafkaConnector.getStream();
>
> }
>
> @Override
>   public void nextTuple() {
> ConsumerIterator<byte[], byte[]> it = _stream.iterator();
> String message = new String(it.next().message());
> _collector.emit(new Values(message));
>   }
>
>   @Override
>   public void ack(Object id) {
>   }
>
>   @Override
>   public void fail(Object id) {
>   }
>
>   @Override
> public void declareOutputFields(OutputFieldsDeclarer declarer) {
>declarer.declare(new Fields("tweet"));
> }
> }
>
>
>
> --
> Date: Thu, 31 Mar 2016 11:12:38 -0700
> Subject: Re: Storm KafkaSpout Integration
> From: tech.login@gmail.com
> To: user@storm.apache.org
>
> Hey David,
>
> I would be interested in seeing what Kafka-Spouts you found online and why
> you found them better.
> Also, if you have your own Kafka-Spout opensourced in github, a link to
> that would be great too.
>
> Thanks
> Tid
>
> On Thu, Mar 31, 2016 at 2:21 AM, david kavanagh <david_...@hotmail.com>
> wrote:
>
> Hi Spico,
>
> I changed the parallelism as you suggested but it didn't work. Yesterday
> evening i gave up on using the KafkaSpout class that comes with storm. I
> found some Kafka consumer java classes online and wrote my own Kafka spout
> which is working fine. Thanks for th

RE: Storm KafkaSpout Integration

2016-04-01 Thread david kavanagh

Hey,
What i found online was a simple java Kafka Consumer, and i used that code to 
write my own KafkaSpout.Here is the link to the consumer that i found: 
http://wpcertification.blogspot.ie/2014/08/java-client-for-publishing-and.html
I am using my implementation for a college assignment. Its working well enough 
for me to do what i need, but i doubt very much that it would be production 
quality. Here is the code anyway, it might be useful for something.
RegardsDavid
---
package storm.kafka;
import backtype.storm.Config;import backtype.storm.metric.api.IMetric;import 
backtype.storm.spout.SpoutOutputCollector;import 
backtype.storm.task.TopologyContext;import 
backtype.storm.topology.OutputFieldsDeclarer;import 
backtype.storm.topology.base.BaseRichSpout;import kafka.message.Message;import 
backtype.storm.tuple.Fields;import backtype.storm.tuple.Values;import 
backtype.storm.utils.Utils;import org.slf4j.Logger;import 
org.slf4j.LoggerFactory;import storm.kafka.PartitionManager.KafkaMessageId;
import java.util.*;
import java.io.UnsupportedEncodingException;import java.nio.ByteBuffer;import 
java.util.HashMap;import java.util.List;import java.util.Map;import 
java.util.Properties;
import kafka.consumer.Consumer;import kafka.consumer.ConsumerConfig;import 
kafka.consumer.ConsumerIterator;import kafka.consumer.KafkaStream;import 
kafka.javaapi.consumer.ConsumerConnector;import 
kafka.javaapi.message.ByteBufferMessageSet;import 
kafka.message.MessageAndOffset;
public class MyKafkaSpout extends BaseRichSpout {
SpoutOutputCollector _collector;KafkaStream<byte[], byte[]> _stream;
public static class KafkaConnector extends Thread {
final static String clientId = "KafkaTweetConsumer";final 
static String TOPIC = "twitter-topic";ConsumerConnector 
consumerConnector;
public KafkaConnector(){Properties properties = new 
Properties();   
properties.put("zookeeper.connect","localhost:2181");   
properties.put("group.id","test-group");ConsumerConfig 
consumerConfig = new ConsumerConfig(properties); consumerConnector = 
Consumer.createJavaConsumerConnector(consumerConfig);   }
public KafkaStream<byte[], byte[]> getStream() {
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(TOPIC, new Integer(1));   Map<String, 
List<KafkaStream<byte[], byte[]>>> consumerMap = 
consumerConnector.createMessageStreams(topicCountMap); 
KafkaStream<byte[], byte[]> kafkaStream =  consumerMap.get(TOPIC).get(0);   
return kafkaStream; }}


@Overridepublic void open(Map conf, final TopologyContext context, 
final SpoutOutputCollector collector) {  _collector = collector;
KafkaConnector kafkaConnector = new KafkaConnector();   _stream 
= kafkaConnector.getStream();
}
@Override   public void nextTuple() {   ConsumerIterator<byte[], 
byte[]> it = _stream.iterator();   String message = new 
String(it.next().message());   _collector.emit(new Values(message));   }
@Override   public void ack(Object id) {}
@Override   public void fail(Object id) {   }
@Overridepublic void declareOutputFields(OutputFieldsDeclarer 
declarer) {   declarer.declare(new Fields("tweet"));}}
 

Date: Thu, 31 Mar 2016 11:12:38 -0700
Subject: Re: Storm KafkaSpout Integration
From: tech.login@gmail.com
To: user@storm.apache.org

Hey David,
I would be interested in seeing what Kafka-Spouts you found online and why you 
found them better.Also, if you have your own Kafka-Spout opensourced in github, 
a link to that would be great too.
Thanks Tid
On Thu, Mar 31, 2016 at 2:21 AM, david kavanagh <david_...@hotmail.com> wrote:



Hi Spico,
I changed the parallelism as you suggested but it didn't work. Yesterday 
evening i gave up on using the KafkaSpout class that comes with storm. I found 
some Kafka consumer java classes online and wrote my own Kafka spout which is 
working fine. Thanks for the advice anyway. 
RegardsDavid 
Date: Wed, 30 Mar 2016 21:33:38 +0300
Subject: Re: Storm KafkaSpout Integration
From: spicoflo...@gmail.com
To: user@storm.apache.org

hi,
 i think the problem that you have is that you have stup one partition per 
topic, but you try to conume with 10 kafka task spouts. 
check this lines builder.setSpout("words", new KafkaSpout(kafkaConfig), 10);
10 represents the task parslellism for the spout, that shoul be in the case of 
kafka the same number as the partition you have  setup for kafka topic. you use 
more than one kafka partition when you would like to consume in parallel the 
data from the topic. please check the very

Re: Storm KafkaSpout Integration

2016-03-31 Thread Tech Id

Hey David,

I would be interested in seeing what Kafka-Spouts you found online and why
you found them better.
Also, if you have your own Kafka-Spout opensourced in github, a link to
that would be great too.

Thanks
Tid

On Thu, Mar 31, 2016 at 2:21 AM, david kavanagh <david_...@hotmail.com>
wrote:

> Hi Spico,
>
> I changed the parallelism as you suggested but it didn't work. Yesterday
> evening i gave up on using the KafkaSpout class that comes with storm. I
> found some Kafka consumer java classes online and wrote my own Kafka spout
> which is working fine. Thanks for the advice anyway.
>
> Regards
> David
>
> --
> Date: Wed, 30 Mar 2016 21:33:38 +0300
> Subject: Re: Storm KafkaSpout Integration
> From: spicoflo...@gmail.com
> To: user@storm.apache.org
>
> hi,
> i think the problem that you have is that you have stup one partition per
> topic, but you try to conume with 10 kafka task spouts.
> check this lines builder.setSpout("words", new KafkaSpout(kafkaConfig),
> 10);
> 10 represents the task parslellism for the spout, that shoul be in the
> case of kafka the same number as the partition you have  setup for kafka
> topic. you use more than one kafka partition when you would like to consume
> in parallel the data from the topic. please check the very good
> documentation on ksfka partition on confluent site.
> in my opinon, set up your hint parallelism to 1 would solve the problem.
> tne max spout pending has a different meaning.
> regards,
> florin
>
> On Wednesday, March 30, 2016, david kavanagh <david_...@hotmail.com>
> wrote:
> > I am only creating one partition in code here:
> >  GlobalPartitionInformation hostsAndPartitions = new
> GlobalPartitionInformation();
> >  hostsAndPartitions.addPartition(0, new Broker("127.0.0.1", 9092));
> >  BrokerHosts brokerHosts = new StaticHosts(hostsAndPartitions);
> > I hope that answered your question. I am new to both Storm and Kafka so
> i am not sure exactly how it works.
> > If i am understanding you correctly, the line you told me to add in the
> first email should work because i am only creating one partition?
> > config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1);
> > Thanks again for the help :-)
> > David
> > 
> > Date: Wed, 30 Mar 2016 15:36:19 +0530
> > Subject: Re: Storm KafkaSpout Integration
> > From: dkira...@aadhya-analytics.com
> > To: user@storm.apache.org
> >
> >
> > Hi david,
> >
> > Can I know how many partitions you are having?
> > statement I have given to you is default.if you are  running with no of
> partitions make sure you give same number eg: if you are running with two
> partitions change the number to 2 in the statement .
> > config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING,2 );
> >
> > Best regards,
> > K.Sai Dilip Reddy.
> > On Wed, Mar 30, 2016 at 3:00 PM, david kavanagh <david_...@hotmail.com>
> wrote:
> >
> > Thanks for the reply!
> > I added the line as you suggested but there is still no difference
> unfortunately.
> > I am just guessing at this stage but judging by the output below it, it
> seems like it is something to do with the partitioning or the offset.
> > The warnings start by staying that  there are more tasks than
> partitions.
> > Task 1 is assigned the partition that is created in the code
> (highlighted in green), then the rest of the tasks are not assigned any
> partitions.
> > Eventually is states 'Read partition information from:
> /twitter/twitter-topic-id/partition_0  --> null'
> > So it seems like it is not reading data from Kafka at all. I really
> don't understand what is going on here.
> > Any ideas?
> >
> > Kind Regards
> > David
> > --
> > Storm Output:
> > Thread-9-print] INFO  backtype.storm.daemon.executor - Prepared bolt
> print:(2)
> > 32644 [Thread-11-words] INFO
>  org.apache.curator.framework.imps.CuratorFrameworkImpl - Starting
> > 32685 [Thread-19-words] WARN  storm.kafka.KafkaUtils - there are more
> tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> > 32686 [Thread-19-words] WARN  storm.kafka.KafkaUtils - Task [5/10] no
> partitions assigned
> > 32686 [Thread-17-words] WARN  storm.kafka.KafkaUtils - there are more
> tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> > 32686 [Thread-15-words] WARN  storm.kafka.KafkaUtils - there are more
> tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> > 32686 [Thread-17-words] WARN  storm.kafka.KafkaUt

RE: Storm KafkaSpout Integration

2016-03-31 Thread david kavanagh

Hi Spico,
I changed the parallelism as you suggested but it didn't work. Yesterday 
evening i gave up on using the KafkaSpout class that comes with storm. I found 
some Kafka consumer java classes online and wrote my own Kafka spout which is 
working fine. Thanks for the advice anyway. 
RegardsDavid 
Date: Wed, 30 Mar 2016 21:33:38 +0300
Subject: Re: Storm KafkaSpout Integration
From: spicoflo...@gmail.com
To: user@storm.apache.org

hi,
 i think the problem that you have is that you have stup one partition per 
topic, but you try to conume with 10 kafka task spouts. 
check this lines builder.setSpout("words", new KafkaSpout(kafkaConfig), 10);
10 represents the task parslellism for the spout, that shoul be in the case of 
kafka the same number as the partition you have  setup for kafka topic. you use 
more than one kafka partition when you would like to consume in parallel the 
data from the topic. please check the very good documentation on ksfka 
partition on confluent site.
 in my opinon, set up your hint parallelism to 1 would solve the problem. tne 
max spout pending has a different meaning.
regards,
florin

On Wednesday, March 30, 2016, david kavanagh <david_...@hotmail.com> wrote:
> I am only creating one partition in code here:
>  GlobalPartitionInformation hostsAndPartitions = new 
> GlobalPartitionInformation();
>  hostsAndPartitions.addPartition(0, new Broker("127.0.0.1", 9092));
>  BrokerHosts brokerHosts = new StaticHosts(hostsAndPartitions);
> I hope that answered your question. I am new to both Storm and Kafka so i am 
> not sure exactly how it works. 
> If i am understanding you correctly, the line you told me to add in the first 
> email should work because i am only creating one partition?
> config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1);
> Thanks again for the help :-)
> David
> ________
> Date: Wed, 30 Mar 2016 15:36:19 +0530
> Subject: Re: Storm KafkaSpout Integration
> From: dkira...@aadhya-analytics.com
> To: user@storm.apache.org
>
>
> Hi david,
>
> Can I know how many partitions you are having?
> statement I have given to you is default.if you are  running with no of  
> partitions make sure you give same number eg: if you are running with two 
> partitions change the number to 2 in the statement .
> config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING,2 );
>  
> Best regards,
> K.Sai Dilip Reddy.
> On Wed, Mar 30, 2016 at 3:00 PM, david kavanagh <david_...@hotmail.com> wrote:
>
> Thanks for the reply!
> I added the line as you suggested but there is still no difference 
> unfortunately. 
> I am just guessing at this stage but judging by the output below it, it seems 
> like it is something to do with the partitioning or the offset.
> The warnings start by staying that  there are more tasks than partitions. 
> Task 1 is assigned the partition that is created in the code (highlighted in 
> green), then the rest of the tasks are not assigned any partitions.
> Eventually is states 'Read partition information from: 
> /twitter/twitter-topic-id/partition_0  --> null'
> So it seems like it is not reading data from Kafka at all. I really don't 
> understand what is going on here.
> Any ideas?
>
> Kind Regards
> David
> --
> Storm Output:
> Thread-9-print] INFO  backtype.storm.daemon.executor - Prepared bolt print:(2)
> 32644 [Thread-11-words] INFO  
> org.apache.curator.framework.imps.CuratorFrameworkImpl - Starting
> 32685 [Thread-19-words] WARN  storm.kafka.KafkaUtils - there are more tasks 
> than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32686 [Thread-19-words] WARN  storm.kafka.KafkaUtils - Task [5/10] no 
> partitions assigned
> 32686 [Thread-17-words] WARN  storm.kafka.KafkaUtils - there are more tasks 
> than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32686 [Thread-15-words] WARN  storm.kafka.KafkaUtils - there are more tasks 
> than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32686 [Thread-17-words] WARN  storm.kafka.KafkaUtils - Task [4/10] no 
> partitions assigned
> 32686 [Thread-15-words] WARN  storm.kafka.KafkaUtils - Task [3/10] no 
> partitions assigned
> 32686 [Thread-11-words] WARN  storm.kafka.KafkaUtils - there are more tasks 
> than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32686 [Thread-11-words] INFO  storm.kafka.KafkaUtils - Task [1/10] assigned 
> [Partition{host=127.0.0.1:9092, partition=0}]
> 32687 [Thread-29-words] WARN  storm.kafka.KafkaUtils - there are more tasks 
> than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32697 [Thread-19-words-EventThread] INFO  
> org.apache.curator.framework.state.ConnectionStateManager - State change: 
> CO

Re: Storm KafkaSpout Integration

2016-03-30 Thread Spico Florin

hi,
i think the problem that you have is that you have stup one partition per
topic, but you try to conume with 10 kafka task spouts.
check this lines builder.setSpout("words", new KafkaSpout(kafkaConfig), 10);
10 represents the task parslellism for the spout, that shoul be in the case
of kafka the same number as the partition you have  setup for kafka topic.
you use more than one kafka partition when you would like to consume in
parallel the data from the topic. please check the very good documentation
on ksfka partition on confluent site.
in my opinon, set up your hint parallelism to 1 would solve the problem.
tne max spout pending has a different meaning.
regards,
florin

On Wednesday, March 30, 2016, david kavanagh <david_...@hotmail.com> wrote:
> I am only creating one partition in code here:
>  GlobalPartitionInformation hostsAndPartitions = new
GlobalPartitionInformation();
>  hostsAndPartitions.addPartition(0, new Broker("127.0.0.1", 9092));
>  BrokerHosts brokerHosts = new StaticHosts(hostsAndPartitions);
> I hope that answered your question. I am new to both Storm and Kafka so i
am not sure exactly how it works.
> If i am understanding you correctly, the line you told me to add in the
first email should work because i am only creating one partition?
> config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1);
> Thanks again for the help :-)
> David
> 
> Date: Wed, 30 Mar 2016 15:36:19 +0530
> Subject: Re: Storm KafkaSpout Integration
> From: dkira...@aadhya-analytics.com
> To: user@storm.apache.org
>
>
> Hi david,
>
> Can I know how many partitions you are having?
> statement I have given to you is default.if you are  running with no of
partitions make sure you give same number eg: if you are running with two
partitions change the number to 2 in the statement .
> config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING,2 );
>
> Best regards,
> K.Sai Dilip Reddy.
> On Wed, Mar 30, 2016 at 3:00 PM, david kavanagh <david_...@hotmail.com>
wrote:
>
> Thanks for the reply!
> I added the line as you suggested but there is still no difference
unfortunately.
> I am just guessing at this stage but judging by the output below it, it
seems like it is something to do with the partitioning or the offset.
> The warnings start by staying that  there are more tasks than partitions.
> Task 1 is assigned the partition that is created in the code (highlighted
in green), then the rest of the tasks are not assigned any partitions.
> Eventually is states 'Read partition information from:
/twitter/twitter-topic-id/partition_0  --> null'
> So it seems like it is not reading data from Kafka at all. I really don't
understand what is going on here.
> Any ideas?
>
> Kind Regards
> David
> --
> Storm Output:
> Thread-9-print] INFO  backtype.storm.daemon.executor - Prepared bolt
print:(2)
> 32644 [Thread-11-words] INFO
 org.apache.curator.framework.imps.CuratorFrameworkImpl - Starting
> 32685 [Thread-19-words] WARN  storm.kafka.KafkaUtils - there are more
tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32686 [Thread-19-words] WARN  storm.kafka.KafkaUtils - Task [5/10] no
partitions assigned
> 32686 [Thread-17-words] WARN  storm.kafka.KafkaUtils - there are more
tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32686 [Thread-15-words] WARN  storm.kafka.KafkaUtils - there are more
tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32686 [Thread-17-words] WARN  storm.kafka.KafkaUtils - Task [4/10] no
partitions assigned
> 32686 [Thread-15-words] WARN  storm.kafka.KafkaUtils - Task [3/10] no
partitions assigned
> 32686 [Thread-11-words] WARN  storm.kafka.KafkaUtils - there are more
tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32686 [Thread-11-words] INFO  storm.kafka.KafkaUtils - Task [1/10]
assigned [Partition{host=127.0.0.1:9092, partition=0}]
> 32687 [Thread-29-words] WARN  storm.kafka.KafkaUtils - there are more
tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32697 [Thread-19-words-EventThread] INFO
 org.apache.curator.framework.state.ConnectionStateManager - State change:
CONNECTED
> 32697 [Thread-25-words-EventThread] INFO
 org.apache.curator.framework.state.ConnectionStateManager - State change:
CONNECTED
> 32697 [Thread-29-words-EventThread] INFO
 org.apache.curator.framework.state.ConnectionStateManager - State change:
CONNECTED
> 32697 [Thread-13-words-EventThread] INFO
 org.apache.curator.framework.state.ConnectionStateManager - State change:
CONNECTED
> 32697 [Thread-27-words-EventThread] INFO
 org.apache.curator.framework.state.ConnectionStateManager - State change:
CONNECTED
> 32697 [Thread-15-words-EventThread] INFO

Re: Storm KafkaSpout Integration

2016-03-30 Thread Sai Dilip Reddy Kiralam

d-27-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(11)
> 32687 [Thread-23-words] WARN  storm.kafka.KafkaUtils - there are more
> tasks than partitions (tasks: 10; partitions: 1), some tasks will be idle
> 32740 [Thread-23-words] WARN  storm.kafka.KafkaUtils - Task [7/10] no
> partitions assigned
> 32736 [Thread-29-words] WARN  storm.kafka.KafkaUtils - Task [10/10] no
> partitions assigned
> 32742 [Thread-17-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(6)
> 32872 [Thread-29-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(12)
> 32742 [Thread-25-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(10)
> 32742 [Thread-21-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(8)
> 32742 [Thread-27-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(11)
> 32742 [Thread-19-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(7)
> 32741 [Thread-15-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(5)
> 32740 [Thread-13-words] WARN  storm.kafka.KafkaUtils - Task [2/10] no
> partitions assigned
> 32873 [Thread-29-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(12)
> 32872 [Thread-23-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(9)
> 32873 [Thread-13-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(4)
> 32873 [Thread-23-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(9)
> 32873 [Thread-13-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(4)
> 37756 [Thread-23-words-EventThread] INFO
>  org.apache.curator.framework.state.ConnectionStateManager - State change:
> CONNECTED
> 37757 [Thread-17-words-EventThread] INFO
>  org.apache.curator.framework.state.ConnectionStateManager - State change:
> CONNECTED
> 37757 [Thread-21-words-EventThread] INFO
>  org.apache.curator.framework.state.ConnectionStateManager - State change:
> CONNECTED
> 37757 [Thread-11-words-EventThread] INFO
>  org.apache.curator.framework.state.ConnectionStateManager - State change:
> CONNECTED
> 37773 [Thread-11-words] INFO  storm.kafka.PartitionManager - Read
> partition information from: /twitter/twitter-topic-id/partition_0  --> null
> 37915 [Thread-11-words] INFO  storm.kafka.PartitionManager - No partition
> information found, using configuration to determine offset
> 37915 [Thread-11-words] INFO  storm.kafka.PartitionManager - Starting
> Kafka 127.0.0.1:0 from offset 185
> 37916 [Thread-11-words] INFO  backtype.storm.daemon.executor - Opened
> spout words:(3)
> 37917 [Thread-11-words] INFO  backtype.storm.daemon.executor - Activating
> spout words:(3)
> 62005 [Thread-11-words] INFO  backtype.storm.daemon.executor - Processing
> received message source: __system:-1, stream: __tick, id: {}, [30]
> 62013 [Thread-13-words] INFO  backtype.storm.daemon.executor - Processing
> received message source: __system:-1, stream: __tick, id: {}, [30]
>
>
> --
> Date: Wed, 30 Mar 2016 10:10:54 +0530
> Subject: Re: Storm KafkaSpout Integration
> From: dkira...@aadhya-analytics.com
> To: user@storm.apache.org
>
>
> Hi david,
>
> I think everything is good but you are missing a statement
> config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1); add it after the line
> config.setDebug(true);
>
> *Best regards,*
> *K.Sai Dilip Reddy.*
>
> On Tue, Mar 29, 2016 at 10:03 PM, david kavanagh <david_...@hotmail.com>
> wrote:
>
> Hi all,
>
> I am currently trying use TestTopologyStaticHosts to try connect the
> KafkaSpout to a Kafka topic. I have a ZooKeeper and a Kafka instance
> running on my localhost. I have a topic named "twitter-topic" that has some
> tweets in it. This is all working as expected. I can run the consumer in
> the terminal and it returns the tweets. I want to use the KafkaSpout to
> connect to the Kafka topic and pull the tweets into a topology. I have
> been working on this a few days now and no success.
>
> So far i have learned that when Storm is run in local mode that it uses an
> in memory zookeeper on port 2000, which would not allow it to connect to
> the Kafka topic. I have tried to get around this using the following syntax
> that i found online:
>
> LocalCluster cluster = new LocalCluster("localhost", new Long(2181));
>
> It is still not working but it seems to be connecting to Kafka as it gives
> a 'closed socket connection' message when i cancel the operation (after it
> does not work and hangs open). It also says in the storm output that it is
> connected to localhost 2181 so it seems to be getting that far. I have
>

RE: Storm KafkaSpout Integration

2016-03-30 Thread david kavanagh

-19-words] INFO  backtype.storm.daemon.executor - 
Activating spout words:(7)32741 [Thread-15-words] INFO  
backtype.storm.daemon.executor - Activating spout words:(5)32740 
[Thread-13-words] WARN  storm.kafka.KafkaUtils - Task [2/10] no partitions 
assigned32873 [Thread-29-words] INFO  backtype.storm.daemon.executor - 
Activating spout words:(12)32872 [Thread-23-words] INFO  
backtype.storm.daemon.executor - Opened spout words:(9)32873 [Thread-13-words] 
INFO  backtype.storm.daemon.executor - Opened spout words:(4)32873 
[Thread-23-words] INFO  backtype.storm.daemon.executor - Activating spout 
words:(9)32873 [Thread-13-words] INFO  backtype.storm.daemon.executor - 
Activating spout words:(4)37756 [Thread-23-words-EventThread] INFO  
org.apache.curator.framework.state.ConnectionStateManager - State change: 
CONNECTED37757 [Thread-17-words-EventThread] INFO  
org.apache.curator.framework.state.ConnectionStateManager - State change: 
CONNECTED37757 [Thread-21-words-EventThread] INFO  
org.apache.curator.framework.state.ConnectionStateManager - State change: 
CONNECTED37757 [Thread-11-words-EventThread] INFO  
org.apache.curator.framework.state.ConnectionStateManager - State change: 
CONNECTED37773 [Thread-11-words] INFO  storm.kafka.PartitionManager - Read 
partition information from: /twitter/twitter-topic-id/partition_0  --> 
null37915 [Thread-11-words] INFO  storm.kafka.PartitionManager - No partition 
information found, using configuration to determine offset37915 
[Thread-11-words] INFO  storm.kafka.PartitionManager - Starting Kafka 
127.0.0.1:0 from offset 18537916 [Thread-11-words] INFO  
backtype.storm.daemon.executor - Opened spout words:(3)37917 [Thread-11-words] 
INFO  backtype.storm.daemon.executor - Activating spout words:(3)62005 
[Thread-11-words] INFO  backtype.storm.daemon.executor - Processing received 
message source: __system:-1, stream: __tick, id: {}, [30]62013 
[Thread-13-words] INFO  backtype.storm.daemon.executor - Processing received 
message source: __system:-1, stream: __tick, id: {}, [30]

Date: Wed, 30 Mar 2016 10:10:54 +0530
Subject: Re: Storm KafkaSpout Integration
From: dkira...@aadhya-analytics.com
To: user@storm.apache.org

Hi david,

I think everything is good but you are missing a statement 
config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1); add it after the line  
config.setDebug(true); Best regards,K.Sai Dilip Reddy.

On Tue, Mar 29, 2016 at 10:03 PM, david kavanagh <david_...@hotmail.com> wrote:



Hi all,
I am currently trying use TestTopologyStaticHosts to try connect the KafkaSpout 
to a Kafka topic. I have a ZooKeeper and a Kafka instance running on my 
localhost. I have a topic named "twitter-topic" that has some tweets in it. 
This is all working as expected. I can run the consumer in the terminal and it 
returns the tweets. I want to use the KafkaSpout to connect to the Kafka topic 
and pull the tweets into a topology. I have been working on this a few days now 
and no success.
So far i have learned that when Storm is run in local mode that it uses an in 
memory zookeeper on port 2000, which would not allow it to connect to the Kafka 
topic. I have tried to get around this using the following syntax that i found 
online:
LocalCluster cluster = new LocalCluster("localhost", new Long(2181));
It is still not working but it seems to be connecting to Kafka as it gives a 
'closed socket connection' message when i cancel the operation (after it does 
not work and hangs open). It also says in the storm output that it is connected 
to localhost 2181 so it seems to be getting that far. I have included the full 
output from Storm in a txt file attached.
Here is the code i am using in the TestTopologyStaticHosts class:
 public static void main(String[] args) throws Exception {
//String zkConnString = "localhost:2181";
GlobalPartitionInformation hostsAndPartitions = new 
GlobalPartitionInformation();hostsAndPartitions.addPartition(0, new 
Broker("127.0.0.1", 9092));BrokerHosts brokerHosts = new 
StaticHosts(hostsAndPartitions);// BrokerHosts brokerHosts = new 
ZkHosts(zkConnString, "/brokers");
SpoutConfig kafkaConfig = new SpoutConfig(brokerHosts, 
"twitter-topic","/twitter","twitter-topic-id");kafkaConfig.scheme = new 
SchemeAsMultiScheme(new StringScheme());
//kafkaConfig.forceStartOffsetTime(-2);
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("words", new KafkaSpout(kafkaConfig), 10);
builder.setBolt("print", new PrinterBolt()).shuffleGrouping("words");
LocalCluster cluster = new LocalCluster("localhost", new Long(2181));
Config config = new Config();config.setDebug(true);// 
config.put("storm.zookeeper.servers", "localhost");// 
config.put("storm.zookeeper.port&q

Re: Storm KafkaSpout Integration

2016-03-29 Thread Sai Dilip Reddy Kiralam

Hi david,

I think everything is good but you are missing a statement
config.put(Config.TOPOLOGY_MAX_SPOUT_PENDING, 1); add it after the line
config.setDebug(true);



*Best regards,*
*K.Sai Dilip Reddy.*

On Tue, Mar 29, 2016 at 10:03 PM, david kavanagh 
wrote:

> Hi all,
>
> I am currently trying use TestTopologyStaticHosts to try connect the
> KafkaSpout to a Kafka topic. I have a ZooKeeper and a Kafka instance
> running on my localhost. I have a topic named "twitter-topic" that has some
> tweets in it. This is all working as expected. I can run the consumer in
> the terminal and it returns the tweets. I want to use the KafkaSpout to
> connect to the Kafka topic and pull the tweets into a topology. I have
> been working on this a few days now and no success.
>
> So far i have learned that when Storm is run in local mode that it uses an
> in memory zookeeper on port 2000, which would not allow it to connect to
> the Kafka topic. I have tried to get around this using the following syntax
> that i found online:
>
> LocalCluster cluster = new LocalCluster("localhost", new Long(2181));
>
> It is still not working but it seems to be connecting to Kafka as it gives
> a 'closed socket connection' message when i cancel the operation (after it
> does not work and hangs open). It also says in the storm output that it is
> connected to localhost 2181 so it seems to be getting that far. I have
> included the full output from Storm in a txt file attached.
>
> Here is the code i am using in the TestTopologyStaticHosts class:
>
>  public static void main(String[] args) throws Exception {
>
> //String zkConnString = "localhost:2181";
>
> GlobalPartitionInformation hostsAndPartitions = new
> GlobalPartitionInformation();
> hostsAndPartitions.addPartition(0, new Broker("127.0.0.1", 9092));
> BrokerHosts brokerHosts = new StaticHosts(hostsAndPartitions);
> // BrokerHosts brokerHosts = new ZkHosts(zkConnString, "/brokers");
>
> SpoutConfig kafkaConfig = new SpoutConfig(brokerHosts,
> "twitter-topic","/twitter","twitter-topic-id");
> kafkaConfig.scheme = new SchemeAsMultiScheme(new StringScheme());
> //kafkaConfig.forceStartOffsetTime(-2);
>
> TopologyBuilder builder = new TopologyBuilder();
> builder.setSpout("words", new KafkaSpout(kafkaConfig), 10);
> builder.setBolt("print", new
> PrinterBolt()).shuffleGrouping("words");
> LocalCluster cluster = new LocalCluster("localhost", new
> Long(2181));
> Config config = new Config();
> config.setDebug(true);
> // config.put("storm.zookeeper.servers", "localhost");
> // config.put("storm.zookeeper.port", "2181");
> cluster.submitTopology("kafka-test", config,
> builder.createTopology());
>
> Thread.sleep(60);
>
> }
>
> Judging by the output it seems that there is a problem with connecting to
> the Kafka partitions.
> I have tried many different things to get it to work but no luck. I have
> also been looking at using the KafkaSpoutTestTopology class but it is
> expecting arguments including 'dockerIp' which i don't understand.
>
> Should i be using Storm in localmode?
> Should i be using the TestTopologyStaticHosts class or would the 
> KafkaSpoutTestTopology
> class be better?
>
> Any help at all would be greatly appreciated because i am really stuck.
>
> Kind Regards
> David Kavanagh
>
>

Storm KafkaSpout Integration

2016-03-29 Thread david kavanagh

Hi all,
I am currently trying use TestTopologyStaticHosts to try connect the KafkaSpout 
to a Kafka topic. I have a ZooKeeper and a Kafka instance running on my 
localhost. I have a topic named "twitter-topic" that has some tweets in it. 
This is all working as expected. I can run the consumer in the terminal and it 
returns the tweets. I want to use the KafkaSpout to connect to the Kafka topic 
and pull the tweets into a topology. I have been working on this a few days now 
and no success.
So far i have learned that when Storm is run in local mode that it uses an in 
memory zookeeper on port 2000, which would not allow it to connect to the Kafka 
topic. I have tried to get around this using the following syntax that i found 
online:
LocalCluster cluster = new LocalCluster("localhost", new Long(2181));
It is still not working but it seems to be connecting to Kafka as it gives a 
'closed socket connection' message when i cancel the operation (after it does 
not work and hangs open). It also says in the storm output that it is connected 
to localhost 2181 so it seems to be getting that far. I have included the full 
output from Storm in a txt file attached.
Here is the code i am using in the TestTopologyStaticHosts class:
 public static void main(String[] args) throws Exception {
//String zkConnString = "localhost:2181";
GlobalPartitionInformation hostsAndPartitions = new 
GlobalPartitionInformation();hostsAndPartitions.addPartition(0, new 
Broker("127.0.0.1", 9092));BrokerHosts brokerHosts = new 
StaticHosts(hostsAndPartitions);// BrokerHosts brokerHosts = new 
ZkHosts(zkConnString, "/brokers");
SpoutConfig kafkaConfig = new SpoutConfig(brokerHosts, 
"twitter-topic","/twitter","twitter-topic-id");kafkaConfig.scheme = new 
SchemeAsMultiScheme(new StringScheme());
//kafkaConfig.forceStartOffsetTime(-2);
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("words", new KafkaSpout(kafkaConfig), 10);
builder.setBolt("print", new PrinterBolt()).shuffleGrouping("words");
LocalCluster cluster = new LocalCluster("localhost", new Long(2181));
Config config = new Config();config.setDebug(true);// 
config.put("storm.zookeeper.servers", "localhost");// 
config.put("storm.zookeeper.port", "2181"); 
cluster.submitTopology("kafka-test", config, builder.createTopology());
Thread.sleep(60);
}
Judging by the output it seems that there is a problem with connecting to the 
Kafka partitions.I have tried many different things to get it to work but no 
luck. I have also been looking at using the KafkaSpoutTestTopology class but it 
is expecting arguments including 'dockerIp' which i don't understand.
Should i be using Storm in localmode?Should i be using the 
TestTopologyStaticHosts class or would the KafkaSpoutTestTopology class be 
better?
Any help at all would be greatly appreciated because i am really stuck.
Kind RegardsDavid Kavanagh
  [INFO] Scanning for projects...
[INFO]
[INFO] 
[INFO] Building storm-kafka 0.9.6
[INFO] 
[INFO]
[INFO] --- maven-remote-resources-plugin:1.2.1:process (default) @ storm-kafka 
---
[INFO]
[INFO] --- maven-resources-plugin:2.5:resources (default-resources) @ 
storm-kafka ---
[debug] execute contextualize
[INFO] Using 'UTF-8' encoding to copy filtered resources.
[INFO] skip non existing resourceDirectory 
/Users/david_kav/Desktop/College/Project/storm-0.9.6/external/storm-kafka/src/main/resources
[INFO] Copying 3 resources
[INFO]
[INFO] --- maven-compiler-plugin:3.1:compile (default-compile) @ storm-kafka ---
[INFO] Changes detected - recompiling the module!
[INFO] Compiling 50 source files to 
/Users/david_kav/Desktop/College/Project/storm-0.9.6/external/storm-kafka/target/classes
[WARNING] 
/Users/david_kav/Desktop/College/Project/storm-0.9.6/external/storm-kafka/src/jvm/storm/kafka/KafkaUtils.java:
 Some input files use unchecked or unsafe operations.
[WARNING] 
/Users/david_kav/Desktop/College/Project/storm-0.9.6/external/storm-kafka/src/jvm/storm/kafka/KafkaUtils.java:
 Recompile with -Xlint:unchecked for details.
[INFO]
[INFO] >>> exec-maven-plugin:1.2.1:java (default-cli) > validate @ storm-kafka 
>>>
[INFO]
[INFO] <<< exec-maven-plugin:1.2.1:java (default-cli) < validate @ storm-kafka 
<<<
[INFO]
[INFO] --- exec-maven-plugin:1.2.1:java (default-cli) @ storm-kafka ---
3447 [storm.kafka.TestTopologyStaticHosts.main()] INFO  
org.apache.storm.zookeeper.ZooKeeper - Client 
environment:zookeeper.version=3.4.6-1569965, built on 02/20/2014 09:09 GMT
3452 [storm.kafka.TestTopologyStaticHosts.main()] INFO  
org.apache.storm.zookeeper.ZooKeeper - Client environment:host.name=192.168.1.11
3452 [storm.kafka.TestTopologyStaticHosts.main()] INFO

Re: Storm KafkaSpout Integration

RE: Storm KafkaSpout Integration

Re: Storm KafkaSpout Integration

RE: Storm KafkaSpout Integration

Re: Storm KafkaSpout Integration

RE: Storm KafkaSpout Integration

Re: Storm KafkaSpout Integration

Re: Storm KafkaSpout Integration

RE: Storm KafkaSpout Integration

Re: Storm KafkaSpout Integration

Storm KafkaSpout Integration

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