how to load a Kafka topic to HDFS? - hadoop

Question

I am using hortonworks sandbox.
creating topic:
./kafka-topics.sh --create --zookeeper 10.25.3.207:2181 --replication-factor 1 --partitions 1 --topic lognew
tailing the apache access log directory:
tail -f /var/log/httpd/access_log |./kafka-console-producer.sh --broker-list 10.25.3.207:6667 --topic lognew
At another terminal (of kafka bin) start consumer:
./kafka-console-consumer.sh --zookeeper 10.25.3.207:2181 --topic lognew --from-beginning
The apache access logs are sent to the kafka topic "lognew".
I need to store them to HDFS.
Any ideas or suggestions regarding how to do this.
Thanks in advance.
Deepthy

Answer 1

we use camus.
Camus is a simple MapReduce job developed by LinkedIn to load data
from Kafka into HDFS. It is capable of incrementally copying data from
Kafka into HDFS such that every run of the MapReduce job picks up
where the previous run left off. At LinkedIn, Camus is used to load
billions of messages per day from Kafka into HDFS.
But it looks like it's replaced with gobblin
Gobblin is a universal data ingestion framework for extracting,
transforming, and loading large volume of data from a variety of data
sources, e.g., databases, rest APIs, FTP/SFTP servers, filers, etc.,
onto Hadoop. Gobblin handles the common routine tasks required for all
data ingestion ETLs, including job/task scheduling, task partitioning,
error handling, state management, data quality checking, data
publishing, etc. Gobblin ingests data from different data sources in
the same execution framework, and manages metadata of different
sources all in one place. This, combined with other features such as
auto scalability, fault tolerance, data quality assurance,
extensibility, and the ability of handling data model evolution, makes
Gobblin an easy-to-use, self-serving, and efficient data ingestion
framework.

Answer 2

You have several other options as well:
Use Apache Flume to read messages from Kafka and write them to your HDFS. There are several examples of how you can set it up, but one article from Cloudera covers that topic quite well. They even named the solution Flafka ;)
Use Kafka HDFS Connector, which is quite simple to set up. However, it would require Confluent Kafka (which still is open sourced).
We tested both quite successfully.