Kafka and Hadoop at LinkedIn Meetup

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The document discusses several methods for getting data from Kafka into Hadoop, including batch tools like Camus, Sqoop2, and NiFi. It also covers streaming options like using Kafka as a source in Hive with the HiveKa storage handler, Spark Streaming, and Storm. The presenter is a software engineer and former consultant who now works at Cloudera on projects including Sqoop, Kafka, and Flume. They also maintain a blog on these topics and discuss setting up and using Kafka in Cloudera Manager.

Kafka &
Hadoop
Gwen Shapira / Software Engineer

2©2014 Cloudera, Inc. All rights reserved.
• 15 years of moving data around
• Formerly consultant
• Now Cloudera Engineer:
– Sqoop Committer
– Kafka
– Flume
About Me

3©2014 Cloudera, Inc. All rights reserved.
There’s a book on that!

4©2014 Cloudera, Inc. All rights reserved.
We are also blogging

6
Getting Data from Kafka to Hadoop
There are only
bad options.
It's about finding
the best one.
©2014 Cloudera, Inc. All rights reserved.

7
Batch
©2014 Cloudera, Inc. All rights reserved.

8©2014 Cloudera, Inc. All rights reserved.
Camus

9©2014 Cloudera, Inc. All rights reserved.
Camus
ZooKeeper
Setup
Topic Offsets
ProcessesHDFSOtherSystems
Task
Task
Task
In process
Avro Files
In process
Avro Files Audit Counts
Clean Up
Kakfa
B
A
C
D
F
G H
I
E

10©2014 Cloudera, Inc. All rights reserved.
Sqoop2
From
(RDBMS,
HDFS,
Hive,
Hbase)
To
(RDBMS,
HDFS,
Hbase,
Hive
Kafka)
Engine
(Webserver,
Rest API,
Repository,
MapReduce)
Client

11©2014 Cloudera, Inc. All rights reserved.
NiFi!

12
Mappers
HiveKa = Hive + Kafka
Hive
Storag
e
Handle
r
KafkaInputFor
mat.
getSplits()
Kafka
Get topic, partitions
and offsets
MapReduc
e
Setup
Mappers
Mappers
KafkaRecordRea
der
Get data
Avro
SerDe
Kafka
Kafka

13Click to enter confidentiality information

14Click to enter confidentiality information

15
Streaming
©2014 Cloudera, Inc. All rights reserved.

16©2014 Cloudera, Inc. All rights reserved.
Flume + Kafka = Flafka

17
Sources Interceptors Selectors Channels Sinks
Flume Agent
How does work?
Twitter, logs,
webserver,
Kafka…
Mask, re-format,
validate…
DR, critical
Memory, file,
Kafka
HDFS,
Hbase, Solr,
Kafka

18
But I just want to
get data from Kafka
to Hbase / HDFS
©2014 Cloudera, Inc. All rights reserved.

19
Channels Sinks
Flume Agent
Kafka Channel
Kafka! HDFS,
Hbase, Solr

20
Kafka Channel
Sources Interceptors Selectors Channels
Flume Agent
Twitter, logs,
webserver,
Kafka…
Mask, re-format,
validate…
DR, critical
Memory, file,
Kafka

21©2014 Cloudera, Inc. All rights reserved.
SparkStreaming
Single Pass
Source
RawInput
DStream
RDD
Source
RawInput
DStream
RDD
RDD
Filter Count Print
Source
RawInput
DStream
RDD
RDD
RDD
Single Pass
Filter Count Print
Pre-first
Batch
First
Batch
Second
Batch

22©2014 Cloudera, Inc. All rights reserved.
Storm
Spout
Source
Split
words
bolts
Split
words
bolts
Spout
Split
words
bolts
Split
words
bolts
Count
Count
Count
Spout Layer Fan out Layer 1 Shuffle Layer 2

23©2014 Cloudera, Inc. All rights reserved.
Retro Thoughts

24©2014 Cloudera, Inc. All rights reserved.
• Data often has schema
• At least it should
• Kafka is unaware – which is good
• Need capability to figure out schema for events
• Without including it in every event
Schema

25©2014 Cloudera, Inc. All rights reserved.
Kafka in Cloudera Manager

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1. Kafka & Hadoop Gwen Shapira / Software Engineer

8. 9©2014 Cloudera, Inc. All rights reserved. Camus ZooKeeper Setup Topic Offsets ProcessesHDFSOtherSystems Task Task Task In process Avro Files In process Avro Files Audit Counts Clean Up Kakfa B A C D F G H I E

11. 12 Mappers HiveKa = Hive + Kafka Hive Storag e Handle r KafkaInputFor mat. getSplits() Kafka Get topic, partitions and offsets MapReduc e Setup Mappers Mappers KafkaRecordRea der Get data Avro SerDe Kafka Kafka

12. 13Click to enter confidentiality information

13. 14Click to enter confidentiality information

16. 17 Sources Interceptors Selectors Channels Sinks Flume Agent How does work? Twitter, logs, webserver, Kafka… Mask, re-format, validate… DR, critical Memory, file, Kafka HDFS, Hbase, Solr, Kafka

18. 19 Channels Sinks Flume Agent Kafka Channel Kafka! HDFS, Hbase, Solr

19. 20 Kafka Channel Sources Interceptors Selectors Channels Flume Agent Twitter, logs, webserver, Kafka… Mask, re-format, validate… DR, critical Memory, file, Kafka

20. 21©2014 Cloudera, Inc. All rights reserved. SparkStreaming Single Pass Source RawInput DStream RDD Source RawInput DStream RDD RDD Filter Count Print Source RawInput DStream RDD RDD RDD Single Pass Filter Count Print Pre-first Batch First Batch Second Batch

21. 22©2014 Cloudera, Inc. All rights reserved. Storm Spout Source Split words bolts Split words bolts Spout Split words bolts Split words bolts Count Count Count Spout Layer Fan out Layer 1 Shuffle Layer 2

23. 24©2014 Cloudera, Inc. All rights reserved. • Data often has schema • At least it should • Kafka is unaware – which is good • Need capability to figure out schema for events • Without including it in every event Schema

25. Questions?

Editor's Notes

This gives me a lot of perspective regarding the use of Hadoop
https://gist.github.com/gwenshap/9699072
Batch MapReduce job. Exactly once semantics. Run once every X minutes.
A - The setup stage fetches broker urls and topic information from ZooKeeper. B - The setup stage persists information about topics and offsets in HDFS for the tasks to read. C - The tasks read the persisted information from the setup stage. D - The tasks get events from Kakfa. E - The tasks write data to a temp location in HDFS in the format defined by the user defined decoder, in this case Avro formatted files. F - The tasks move the data in the temp location to a final location when the task is cleaning up. G - The task writes out audit counts on its activities. H - A clean up stage reads all the audit counts from all the tasks. I - The clean up stage reports back to Kakfa what has been persisted.
Kafka source + sink for Flume
Does not require programming.
Does not require programming.
Does not require programming.
MicroBatch stream processing framework. Basically Spark code executed in a slightly different context and some windowing functions.
Stream processing framework. Quite popular. Can be event-based or micro-batching (with Trident). Requires low level awareness of API.

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Editor's Notes