【大資料架構】3. kafka安裝與使用

標籤：

1.kafka是一種高輸送量的分布式發布訂閱訊息系統，它可以處理消費者規模的網站中的所有動作流資料

Step 1: Download the code
Download the 0.8.2.0 release and un-tar it.

> tar -xzf kafka_2.10-0.8.2.0.tgz> cd kafka_2.10-0.8.2.0

Step 2: Start the server首先要create zookeeper。>bin/zookeeper-server-start.sh config/zookeeper.properties

[2013-04-22 15:01:37,495] INFO Reading configuration from: config/zookeeper.properties (org.apache.zookeeper.server.quorum.QuorumPeerConfig)...

然後現在新開啟一個視窗啟動server:

> bin/kafka-server-start.sh config/server.properties[2013-04-22 15:01:47,028] INFO Verifying properties (kafka.utils.VerifiableProperties)[2013-04-22 15:01:47,051] INFO Property socket.send.buffer.bytes is overridden to 1048576 (kafka.utils.VerifiableProperties)...

如果沒有錯的話，zookeeper一般綁定的是2181（連接埠號碼），server是9092.不能多次運行否則會出現連接埠佔用的錯誤。檢查連接埠是否被佔用：

>lsof -i :9092  或者netstat -anp | grep 9092

如果被佔用，則使用 kill -9 pid

測試某個連接埠是否通： telnet hostip port

Step 3: Create a topicLet‘s create a topic named "test" with a single partition and only one replica:

> bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test

We can now see that topic if we run the list topic command:

> bin/kafka-topics.sh --list --zookeeper localhost:2181test

Alternatively, instead of manually creating topics you can also configure your brokers to auto-create topics when a non-existent topic is published to.Step 4: Send some messagesKafka comes with a command line client that will take input from a file or from standard input and send it out as messages to the Kafka cluster. By default each line will be sent as a separate message.

Run the producer and then type a few messages into the console to send to the server.

> bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test This is a messageThis is another message

Step 5: Start a consumerKafka also has a command line consumer that will dump out messages to standard output.

> bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginningThis is a messageThis is another message

If you have each of the above commands running in a different terminal then you should now be able to type messages into the producer terminal and see them appear in the consumer terminal.

All of the command line tools have additional options; running the command with no arguments will display usage information documenting them in more detail.

Step 6: Setting up a multi-broker clusterSo far we have been running against a single broker, but that‘s no fun. For Kafka, a single broker is just a cluster of size one, so nothing much changes other than starting a few more broker instances. But just to get feel for it, let‘s expand our cluster to three nodes (still all on our local machine).

First we make a config file for each of the brokers:

> cp config/server.properties config/server-1.properties > cp config/server.properties config/server-2.properties

Now edit these new files and set the following properties:

 config/server-1.properties:    broker.id=1    port=9093    log.dir=/tmp/kafka-logs-1 config/server-2.properties:    broker.id=2    port=9094    log.dir=/tmp/kafka-logs-2

The  broker.id property is the unique and permanent name of each node in the cluster. We have to override the port and log directory only because we are running these all on the same machine and we want to keep the brokers from all trying to register on the same port or overwrite each others data.

We already have Zookeeper and our single node started, so we just need to start the two new nodes:

> bin/kafka-server-start.sh config/server-1.properties &...> bin/kafka-server-start.sh config/server-2.properties &...

Now create a new topic with a replication factor of three:

> bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 3 --partitions 1 --topic my-replicated-topic

Okay but now that we have a cluster how can we know which broker is doing what? To see that run the "describe topics" command:

> bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic my-replicated-topicTopic:my-replicated-topicPartitionCount:1ReplicationFactor:3Configs:Topic: my-replicated-topicPartition: 0Leader: 1Replicas: 1,2,0Isr: 1,2,0

Here is an explanation of output. The first line gives a summary of all the partitions, each additional line gives information about one partition. Since we have only one partition for this topic there is only one line.

• "leader" is the node responsible for all reads and writes for the given partition. Each node will be the leader for a randomly selected portion of the partitions.
• "replicas" is the list of nodes that replicate the log for this partition regardless of whether they are the leader or even if they are currently alive.
• "isr" is the set of "in-sync" replicas. This is the subset of the replicas list that is currently alive and caught-up to the leader.

Note that in my example node 1 is the leader for the only partition of the topic.

We can run the same command on the original topic we created to see where it is:

> bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic testTopic:testPartitionCount:1ReplicationFactor:1Configs:Topic: testPartition: 0Leader: 0Replicas: 0Isr: 0

So there is no surprise there—the original topic has no replicas and is on server 0, the only server in our cluster when we created it.

Let‘s publish a few messages to our new topic:

> bin/kafka-console-producer.sh --broker-list localhost:9092 --topic my-replicated-topic...my test message 1my test message 2^C 

Now let‘s consume these messages:

> bin/kafka-console-consumer.sh --zookeeper localhost:2181 --from-beginning --topic my-replicated-topic...my test message 1my test message 2^C

Now let‘s test out fault-tolerance. Broker 1 was acting as the leader so let‘s kill it:

> ps | grep server-1.properties7564 ttys002    0:15.91 /System/Library/Frameworks/JavaVM.framework/Versions/1.6/Home/bin/java...> kill -9 7564

Leadership has switched to one of the slaves and node 1 is no longer in the in-sync replica set:

> bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic my-replicated-topicTopic:my-replicated-topicPartitionCount:1ReplicationFactor:3Configs:Topic: my-replicated-topicPartition: 0Leader: 2Replicas: 1,2,0Isr: 2,0

But the messages are still be available for consumption even though the leader that took the writes originally is down:

> bin/kafka-console-consumer.sh --zookeeper localhost:2181 --from-beginning --topic my-replicated-topic...my test message 1my test message 2^C

參考：http://kafka.apache.org/

http://www.cloudera.com/content/cloudera/en/documentation/cloudera-kafka/latest/topics/kafka_spark.html

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【大資料架構】3. kafka安裝與使用