Apache Falcon : 22 Sept 2014 for Hadoop User Group France (@Criteo) By Cedric Carbone (@carbone) and JB Onofre (@jbonofre) #HUGFR

1. HUG France - 22 Sept 2014 - @Criteo
Data Management platform for Hadoop
Cédric Carbone, Talend CTO
@carbone
Jean-Baptiste Onofré, Falcon Committer
@jbonofre
Ce support est mis à disposition selon les termes de la Licence Creative
Commons Attribution - Pas d’Utilisation Commerciale - Pas de Modification 2.0
France. - http://creativecommons.org/licenses/by-nc-nd/2.0/fr/
© Talend 2014 1

2. Overview
• Falcon is a Data Management solution for Hadoop
• Falcon in production at InMobi since 2012
• InMobi gave Falcon to ASF in April 2013
• Falcon is in Apache incubation
• Falcon embedded per default inside HDP
• Falcon leverages a lot of Apache components
- Oozie, Ambari, ActiveMQ, HCat, Sqoop…
• Committer/PPMC/IPMC:
- #8 InMobi
- #5 Hortonworks
- #1 Talend
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3. Why Falcon?
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4. Why Falcon?
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5. What is Falcon?
• Data Motion Import, Export, CDC
• Policy-based Lifecycle Management Retention, Replication,
Archival, Anonymization of PII data
• Process orchestration and scheduling Late data handling,
reprocessing, dependency checking, etc. Multi-cluster management to
support Local/Global Aggregations, Rollups, etc.
• Data Governance Lineage, Audit, SLA
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6. Falcon - The Solution!
• Introduces a higher layer of abstraction – Data Set Decouples a
data location and its properties from workflows Understanding the life-time
of a feed will allow for implicit validation of the processing rules
• Provides the key services for data processing apps Common data
services are simple directives, No need to define them verbosely in
each job Allows process owners to keep their processing specific to
their application logic Sits in the execution path, intercepts to handle
OOB data / retries etc.
• Promotes Polyglot Programming Does not do any heavy lifting but
delegates to tools with in the Hadoop ecosystem
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7. Falcon Basic Concepts : Data Pipelines
• Cluster: : Represents the Hadoop cluster
• Feed: Defines a “dataset”
• Process: Consumes feeds, invokes processing logic & produces feeds
• Entity Actions: submit, list, dependency, schedule, suspend, resume, status,
definition, delete, update
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8. Falcon Entity Relationships
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9. Cluster Entity
<?xml version="1.0"?>
<cluster colo=”talend-datacenter" description="" name=”prod-cluster">
<interfaces>
Needed by distcp for replications
Writing to HDFS
<interface type="readonly" endpoint="hftp://nn:50070" version="2.2.0" />
<interface type="write" endpoint="hdfs://nn:8020" version="2.2.0" />
<interface type="execute" endpoint=”rm:8050" version="2.2.0" />
<interface type="workflow" endpoint="http://os:11000/oozie/" version="4.0.0" />
<interface type=”registry" endpoint=”thrift://hms:9083" version=”0.12.0" />
<interface type="messaging" endpoint="tcp://mq:61616?daemon=true" version="5.1.6" />
</interfaces>
<locations>
Used to submit processes as MR
Submit Oozie jobs
<location name="staging" path="/apps/falcon/prod-cluster/staging" />
<location name="temp" path="/tmp" />
<location name="working" path="/apps/falcon/prod-cluster/working" />
</locations>
</cluster>
Hive metastore to register/
deregister partitions and
get events on partition availability
Used For alerts
HDFS directories used by Falcon server
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10. Feed Entity
Feed run frequency in mins/hrs/days/mths
<?xml version="1.0"?>
<feed description=“" name=”testFeed” xmlns="uri:falcon:feed:0.1">
<frequency>hours(1)</frequency>
<late-arrival cut-off="hours(6)”/>
<groups>churnAnalysisFeeds</groups>
<clusters>
Late arrival cutoff
<cluster name=”cluster-primary" type="source">
Feeds can belong to multiple groups
<validity start="2012-01-01T00:00Z" end="2099-12-31T00:00Z"/>
<retention limit="days(2)" action="delete"/>
One or more source & target clusters for retention & replication
</cluster>
<cluster name=”cluster-secondary" type="target">
<validity start="2012-01-01T00:00Z" end="2099-12-31T00:00Z"/>
<location type="data” path="/churn/weblogs/${YEAR}-${MONTH}-${DAY}-${HOUR} "/>
<retention limit=”days(7)" action="delete"/>
</cluster>
</clusters>
<locations>
Global location across clusters - HDFS paths or Hive tables
<location type="data” path="/weblogs/${YEAR}-${MONTH}-${DAY}-${HOUR} "/>
</locations>
<ACL owner=”hdfs" group="users" permission="0755"/>
<schema location="/none" provider="none"/>
</feed>
Access Permissions
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11. Process Entity
<process name="process-test" xmlns="uri:falcon:process:0.1”>
<clusters>
<cluster name="cluster-primary">
Which cluster should the process run on and when
<validity start="2011-11-02T00:00Z" end="2011-12-30T00:00Z" />
</cluster>
How frequently does the process run , how many instances can be run in parallel and in what order
</clusters>
<parallel>1</parallel>
<order>FIFO</order>
<frequency>days(1)</frequency>
<inputs>
<input end="today(0,0)" start="today(0,0)" feed="feed-clicks-raw" name="input" />
</inputs>
<outputs>
Input & output feeds for process
<output instance="now(0,2)" feed="feed-clicks-clean" name="output" />
</outputs>
<workflow engine="pig" path="/apps/clickstream/clean-script.pig" />
<retry policy="periodic" delay="minutes(10)" attempts="3"/>
<late-process policy="exp-backoff" delay="hours(1)">
<late-input input="input" workflow-path="/apps/clickstream/late" />
</late-process>
</process>
The processing logic.
Retry policy on failure Handling late input feeds
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12. High Level Architecture
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13. Demo #1 : my first feed
• Start Falcon on a single cluster
• Submission of one simple feed
• Check into Oozie the generated job
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14. Replication & Retention
• Sophisticated retention policies expressed in one place
• Simplify data retention for audit, compliance, or for data re-processing
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15. Demo #2: processes notification
 Motivation: being able to be notified about processes activity “outside”
of the cluster
 Falcon manages workflow, send JMS notification, and a Camel route
react to the notification
 Result: trigger an action (Camel route) when a notification is sent by
Falcon (eviction, late-arrival, process execution, …)
 Mix BigData/Hadoop and ESB technologies
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16. Demo #2: workflow
Falcon ActiveMQ
Camel
2014-03-19 11:25:43,273 | INFO | LCON.my-process] | process-listener | rg.apache.camel.util.CamelLogger
176 | 74 - org.apache.camel.camel-core - 2.13.0.SNAPSHOT | Exchange[ExchangePattern: InOnly, BodyType:
java.util.HashMap, Body: {brokerUrl=tcp://localhost:61616, timeStamp=2014-03-19T10:24Z, status=SUCCEEDED,
logFile=hdfs://localhost:8020/falcon/staging/falcon/workflows/process/my-process/logs/instancePaths-2013-11-15-06-
05.csv, feedNames=output, runId=0, entityType=process, nominalTime=2013-11-15T06:05Z, brokerTTL=4320,
workflowUser=null, entityName=my-process, feedInstancePaths=hdfs://localhost:8020/data/output,
operation=GENERATE, logDir=null, workflowId=0000026-140319105443372-oozie-jbon-W, cluster=local,
brokerImplClass=org.apache.activemq.ActiveMQConnectionFactory, topicName=FALCON.my-process}]
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17. Demo #2 : Data Notification
• All notification will be in ActiveMQ
• Subscribers : Camel routes
• Add some files and see the notification system working!
• http://blog.nanthrax.net/2014/03/hadoop-cdc-and-processes-notification-with-
apache-falcon-apache-activemq-and-apache-camel/
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18. Data Pipeline Tracing
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19. Topologies
• STANDALONE
– Single Data Center
– Single Falcon Server
– Hadoop jobs and relevant processing involves only one cluster
• DISTRIBUTED
– Multiple Data Centers
– Falcon Server per DC
– Multiple instances of hadoop clusters and workflow schedulers
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20. Multi cluster failover
 Motivation: replicate subset of data from one cluster to another,
guarantee the different eviction depending of the data subset
 Falcon manages workflow on primary cluster, and replication on failover
cluster
 Result: support business continuity without requiring full data
reprocessing
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21. Roadmap
 Improvement on the late-arrival messages in FALCON.ENTITY.TOPIC
(ActiveMQ)
 Feed implicit processes (no need of process) providing “native” CDC
 Straight forward MR usage (without pig, oozie workflow XML, …)
 More data acquisition
 Monitoring/Management/Designer dashboard
 TLP !!!
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22. Questions?
Data Management platform for Hadoop
Cédric Carbone, Talend CTO
@carbone
Jean-Baptiste Onofré, Falcon Committer
@jbonofre
Ce support est mis à disposition selon les termes de la Licence Creative
Commons Attribution - Pas d’Utilisation Commerciale - Pas de Modification 2.0
France. - http://creativecommons.org/licenses/by-nc-nd/2.0/fr/
© Talend 2014 22