Cassandra+Hadoop

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This document discusses using MapReduce with Cassandra. It describes how writing to Cassandra from MapReduce has always been possible, while reading was enabled starting with Cassandra 0.6.x. Using MapReduce with Cassandra provides analytics capabilities and avoids single points of failure compared to MapReduce with HBase. The document covers setup and configuration considerations like locality, and provides examples of a separate cluster approach and hybrid cluster approach. It also outlines future work like improving output to Cassandra and adding Hive support.

Technology Business

MR + Cassandra - History

Writing to Cassandra - always been possible

MR + Cassandra - History

Writing to Cassandra - always been possible
Cassandra 0.6.x enables reading data

MR + Cassandra - History

Writing to Cassandra - always been possible
Cassandra 0.6.x enables reading data
Uses its own InputSplit, InputFormat, RecordReader

Why MR + Cassandra?

Cassandra is a great data store but what about
analytics? MapReduce!
Arguable win over MapReduce + HBase, no SPOF

Setup and Conﬁguration
Job/Task Trackers

Setup and Conﬁguration
Job/Task Trackers
On already established cluster

Setup and Conﬁguration
Job/Task Trackers
On already established cluster
Overlays Cassandra cluster

Setup and Conﬁguration
Job/Task Trackers
On already established cluster
Overlays Cassandra cluster
Hybrid

Setup and Conﬁguration
Job/Task Trackers
On already established cluster
Overlays Cassandra cluster
Hybrid
Locality

Setup and Conﬁguration
Job/Task Trackers
On already established cluster
Overlays Cassandra cluster
Hybrid
Locality
Gives data’s host information to job tracker

A Complete Overlay
Separate
Job Tracker

Task Trackers
Collocated with
Cassandra Nodes

A Complete Overlay
Separate
Job Tracker

Task Trackers
Collocated with
Cassandra Nodes
- Bonus -
Data locality!

A Hybrid Cluster

Task Trackers
on
Cassandra nodes

A Hybrid Cluster

- Bonus -
Data locality
Integrate w/Cluster

Task Trackers
on
Cassandra nodes

Pig + Cassandra

contrib/pig - a Cassandra speciﬁc storage backing
Requires latest Pig - 0.7

Future Work

Simple output to Cassandra - Cassandra-1101
OutputFormat, OutputReducer, OutputWriter

Future Work

Simple output to Cassandra - Cassandra-1101
OutputFormat, OutputReducer, OutputWriter
Hive support - Cassandra-913

Future Work

Simple output to Cassandra - Cassandra-1101
OutputFormat, OutputReducer, OutputWriter
Hive support - Cassandra-913
Optimizations for start/end row - Cassandra-1125

Questions...

jeromatron on twitter
jeromatron on #cassandra channel on freenode irc
jeremy (dot) hanna (at) rackspace (dot) com

What's hot

From the original abstract: If you're already using Cassandra you're already aware of it’s strengths of high availability and linear scalability. The downside to this power is less query flexibility. For an OLTP system with an SLA this is an acceptable tradeoff, but for a data scientist it’s extremely limiting. Enter Apache Spark. Apache spark complements an existing Cassandra cluster by providing a means of executing arbitrary queries, filters, sorting and aggregation. It’s possible to use functional constructs like map, filter, and reduce, as well as SQL and DataFrames. In this presentation I’ll show you how to process Cassandra data in bulk or through a Kafka stream using Python. Then we’ll visualize our data using iPython notebooks, leveraging Pandas and matplotlib. This is an advanced talk. We will assume existing knowledge of Cassandra and CQL.

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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Cassandra+Hadoop

1. CASSANDRA + HADOOP

2. Two Aspects MapReduce Pig

3. MR + Cassandra - History

4. MR + Cassandra - History Writing to Cassandra - always been possible

5. MR + Cassandra - History Writing to Cassandra - always been possible Cassandra 0.6.x enables reading data

6. MR + Cassandra - History Writing to Cassandra - always been possible Cassandra 0.6.x enables reading data Uses its own InputSplit, InputFormat, RecordReader

7. Why MR + Cassandra? Cassandra is a great data store but what about analytics? MapReduce! Arguable win over MapReduce + HBase, no SPOF

8. Setup and Conﬁguration

9. Setup and Conﬁguration Job/Task Trackers

10. Setup and Conﬁguration Job/Task Trackers On already established cluster

11. Setup and Conﬁguration Job/Task Trackers On already established cluster Overlays Cassandra cluster

12. Setup and Conﬁguration Job/Task Trackers On already established cluster Overlays Cassandra cluster Hybrid

13. Setup and Conﬁguration Job/Task Trackers On already established cluster Overlays Cassandra cluster Hybrid Locality

14. Setup and Conﬁguration Job/Task Trackers On already established cluster Overlays Cassandra cluster Hybrid Locality Gives data’s host information to job tracker

15. Setup and Conﬁguration Job/Task Trackers On already established cluster Overlays Cassandra cluster Hybrid Locality Gives data’s host information to job tracker Conﬁgure both topologies - Cassandra + Hadoop

16. A Separate Cluster

17. A Complete Overlay Separate Job Tracker Task Trackers Collocated with Cassandra Nodes

18. A Complete Overlay Separate Job Tracker Task Trackers Collocated with Cassandra Nodes - Bonus - Data locality!

19. A Hybrid Cluster Task Trackers on Cassandra nodes

20. A Hybrid Cluster - Bonus - Data locality Integrate w/Cluster Task Trackers on Cassandra nodes

21. Tutorial contrib/word_count example

22. Pig + Cassandra contrib/pig - a Cassandra speciﬁc storage backing Requires latest Pig - 0.7

23. Future Work

24. Future Work Simple output to Cassandra - Cassandra-1101 OutputFormat, OutputReducer, OutputWriter

25. Future Work Simple output to Cassandra - Cassandra-1101 OutputFormat, OutputReducer, OutputWriter Hive support - Cassandra-913

26. Future Work Simple output to Cassandra - Cassandra-1101 OutputFormat, OutputReducer, OutputWriter Hive support - Cassandra-913 Optimizations for start/end row - Cassandra-1125

27. Future Work Simple output to Cassandra - Cassandra-1101 OutputFormat, OutputReducer, OutputWriter Hive support - Cassandra-913 Optimizations for start/end row - Cassandra-1125 Other reﬁnements based on feedback

28. Questions... jeromatron on twitter jeromatron on #cassandra channel on freenode irc jeremy (dot) hanna (at) rackspace (dot) com

Cassandra+Hadoop

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Editor's Notes