Showing posts with label kafka. Show all posts
Showing posts with label kafka. Show all posts
Monday, March 25, 2019
Monday, July 2, 2018
Friday, October 6, 2017
Tuesday, September 5, 2017
Sunday, June 18, 2017
Friday, February 19, 2016
Running Apache Kafka in Docker Container
Apache Kafka : Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system.
Docker containers : wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, system libraries – anything you can install on a server. This guarantees that it will always run the same, regardless of the environment it is running in.
in this quick demo I will make use of a Docker image to run Apache Kafka in a Docker container.
Env: Single node pre-installed with RHEL7
Docker Installation:
Apache Kafka setup
1. pull the docker image for the zookeeper
3. Run zookeeper docker container in detach mode
4. Run docker container for Kafka
5. get host ip where zk is running
6. get host ip where kafka is running
7. in the next course of action lets create a topic for that start interactive shell
8. start a kafka producer which will publish vmstat output of every one second to the broker
9. open a different shell and start a consumer
the consumer will start running and consume the vmstat logs from the producer.
Docker containers : wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, runtime, system tools, system libraries – anything you can install on a server. This guarantees that it will always run the same, regardless of the environment it is running in.
in this quick demo I will make use of a Docker image to run Apache Kafka in a Docker container.
Env: Single node pre-installed with RHEL7
Docker Installation:
yum update curl -sSL https://get.docker.com/ | sh service docker start service docker status // to check service is up
Apache Kafka setup
1. pull the docker image for the zookeeper
docker pull dockerkafka/zookeeper2. pull docker image for kafka
docker pull dockerkafka/zookeeper
3. Run zookeeper docker container in detach mode
docker run -d --name zookeeper -p 2181:2181 dockerkafka/zookeeper
4. Run docker container for Kafka
docker run --name kafka -p 9092:9092 --link zookeeper:zookeeper dockerkafka/kafka &
5. get host ip where zk is running
docker inspect --format '{{ .NetworkSettings.IPAddress }}' zookeeper
172.17.0.2
6. get host ip where kafka is running
docker inspect --format '{{ .NetworkSettings.IPAddress }}' kafka
7. in the next course of action lets create a topic for that start interactive shell
docker exec -t -i exec kafka bash kafka-topics.sh --create --topic vmstat_logs --zookeeper 172.17.0.2:2181 --replication-factor 1 --partitions 1
8. start a kafka producer which will publish vmstat output of every one second to the broker
vmstat 1 | kafka-console-producer.sh --topic vmstat_logs --broker-list 172.17.0.3:9092
9. open a different shell and start a consumer
docker exec -t -i kafka bash kafka-console-consumer.sh --topic vmstat_logs --from-beginning --zookeeper 172.17.0.2:2181
the consumer will start running and consume the vmstat logs from the producer.
Thursday, February 18, 2016
Apache Flume : Data ingestion from Kafka to HDFS
flume configuration to setup kafka as source and HDFS as sink.
tier1.channels = kafkachannel tier1.sink = hdfssink tier1.channels.kafkachannel.type = org.apache.flume.channel.kafka.KafkaChannel tier1.channels.kafkachannel.brokerList = kafkabroker-1:9092,kafkabroker-2:9092 tier1.channels.kafkachannel.topic = logs tier1.channels.kafkachannel.zookeeperConnect = kafkabroker-1:2181 tier1.channels.kafkachannel.parseAsFlumeEvent = false tier1.sinks.hdfssink.type = hdfs tier1.sinks.hdfssink.hdfs.path = /tmp/logs tier1.sinks.hdfssink.hdfs.rollinterval = 5 tier1.sinks.hdfssink.hdfs.fileType = DataStream tier1.sinks.hdfssink.channel = kafkachannel
Subscribe to:
Posts (Atom)