SDEC2011 Introducing Hadoop

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Korea Sdec

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Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC.
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Introducing Hadoop
Mastering Hadoop Map-reduce for Data Analysis

Shashank Tiwari
blog: shanky.org | twitter: @tshanky
st@treasuryoﬁdeas.com

Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC
All other & referenced work is copyrighted to their respective owners

What is Hadoop

$Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners A Map/Hash View •{ • "row_key_1" : { "name" : { • "ﬁrst_name" : "Jolly", "last_name" : "Goodfellow" • } } }, • "location" : { "zip": "94301" },$

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APIs have become a part of the product ecosystem - and help the businesses by extending their developer base, and offering seamless integration with other services or products. Sometimes, the APIs themselves are the product. However, with so many APIs around, patterns emerge. Patterns are repeatable, reusable solutions to commonly occurring problems. Where there are patterns, there are also antipatterns. While APIs are not a new paradigm - there are no set standards or specifications formed by a committees or governing bodies for APIs. On top of this, the APIs are often built at various stages of the product, and have a good chance of being disjoint as more are added. In this talk Netflix engineers will discuss various antipatterns that creep into the API design and implementation, and how to identify and avoid them. They will also share their experiences with building APIs. While the antipatterns do not pose as big a functional challenge, they can and do impact integration efforts, scalability and performance among other things. After this session, you should be able to get familiar with the best practices around solving the most common patterns, and make your engineers and API consumers happy!

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Currently telecom companies store their data in database or data warehouse, treating them through ETL process and working on statistics and analysis by using OLAP tools or data mining engines. However, due to the data explosion along with the spread of Smart Phones traditional data storages like DB and DW aren’t sufficient to cope with these “Big Data”. As an alternative the method of storing data in Hadoop and performing ETL process and Ad-hoc Query with Hive is being introduced, and China Mobile is being mentioned as the most representative example. But, they are adopted mainly by new projects, which have low barriers in applying the new Hive data model and HQL. On the other hand, it is extremely difficult to replace the existing database with the combination of Hadoop and Hive if there are already a number of tables and SQL queries. NexR is migrating the telecom company’s data from Oracle DB to Hadoop, and converting a lot of existing Oracle SQL queries to Hive HQL queries. Though HQL supports a similar syntax to ANSI-SQL, it lacks a large portion of basic functions and hardly supports Oracle analytic functions like rank() which are utilized mainly in statistical analysis. Furthermore, the difference of data types like null value is also blocking the application of it. In this presentation, we will share the experience converting Oracle SQL to Hive HQL and developing additional functions with MapReduce. Also, we will introduce several ideas and trials to improve Hive performance. http://sdec.kr/

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Key-value stores are widely used in applications that only require primary key data access, which is common in many web applications. Because developing an industrial grade key value store is expensive, the conventional solution is to use one of the existing key-value stores and layer application semantics on top of the primitives provided by the store. This approach leads to potential inefficiencies, because application specific semantics can often allow optimizations in the implementation of the store. We present an alternative approach, using the TACC platform to provide a key-value store implementation that is both performant and easily customizable. The TACC programming model separates state from logic: state is stored in a collection of distributed in-memory database instances, while logic is performed by distributed agents that react asynchronously to changes in objects stored in the database instances. Agents can selectively subscribe to updates using a fine-grain hierarchical directory system to mount objects into a local namespace. TACC provides performance comparable to hand-coded C while reducing the actual source code size to a fraction of that. We describe the implementation and performance of a scalable and fault tolerant key-value store using TACC, pointing out the benefits realized by using TACC's strong, user-defined types and triggering/notification.Key-value stores are widely used in applications that only require primary key data access, which is common in many web applications. Because developing an industrial grade key value store is expensive, the conventional solution is to use one of the existing key-value stores and layer application semantics on top of the primitives provided by the store. This approach leads to potential inefficiencies, because application specific semantics can often allow optimizations in the implementation of the store. We present an alternative approach, using the TACC platform to provide a key-value store implementation that is both performant and easily customizable. The TACC programming model separates state from logic: state is stored in a collection of distributed in-memory database instances, while logic is performed by distributed agents that react asynchronously to changes in objects stored in the database instances. Agents can selectively subscribe to updates using a fine-grain hierarchical directory system to mount objects into a local namespace. TACC provides performance comparable to hand-coded C while reducing the actual source code size to a fraction of that. We describe the implementation and performance of a scalable and fault tolerant key-value store using TACC, pointing out the benefits realized by using TACC's strong, user-defined types and triggering/notification. http://sdec.kr/

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SDEC2011 Introducing Hadoop

1. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC. Copyright for all other & referenced work is retained by their respective owners. Introducing Hadoop Mastering Hadoop Map-reduce for Data Analysis Shashank Tiwari blog: shanky.org | twitter: @tshanky st@treasuryoﬁdeas.com

2. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners What is Hadoop

3. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners HDFS Architecture

4. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Namenode/Datanode, JobTracker/TaskTracker

5. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners MapReduce

6. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners ZK Namespace

7. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Essential HBase Schema

8. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Multi-dimensional View

9. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners A Map/Hash View •{ • "row_key_1" : { "name" : { • "ﬁrst_name" : "Jolly", "last_name" : "Goodfellow" • } } }, • "location" : { "zip": "94301" },

10. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Architectural View (HBase)

11. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners The Persistence Mechanism

12. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners The underlying ﬁle format

13. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Installing & Setting up Hadoop • Required software: Java 1.6.x, ssh + sshd • Download • Install • Conﬁgure • single-node • pseudo-distributed • cluster

14. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Download • Source: http://hadoop.apache.org/ • Version: • 0.20.203.x -- current stable • 0.20.x -- previous stable • Includes • Hadoop Common -- common utilities, HDFS, MapReduce

15. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Install • Extract: tar zxvf hadoop-0.20.203.0rc1.tar.gz • Move & Create Symbolic Link • ln -s hadoop-0.20.203.0 hadoop • On Windows • http://developer.yahoo.com/hadoop/tutorial/module3.html

16. Confidential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Configure -- single-node • Edit: conf/hadoop-env.sh • Set JAVA_HOME • Default configuration is single-node • Start bin/hadoop (for command options) • Reference: http://hadoop.apache.org/common/docs/r0.20.203.0/ single_node_setup.html

17. Confidential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Configure -- pseduo-distributed • Edit: conf/core-site.xml (configure HDFS daemon) • Edit: conf/hdfs-site.xml (configure HDFS replication factor) • Edit: conf/mapred-site.xml (configure MapReduce JobTracker daemon) • Enable ssh to localhost (without passphrase) • Reference: http://hadoop.apache.org/common/docs/r0.20.203.0/ single_node_setup.html

18. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Start Hadoop • Format HDFS: bin/hadoop namenode -format • Start all daemons: bin/start-all.sh • Verify logs • Browse the web interface: • Namenode: http://localhost:50070/ • JobTracker: http://localhost:50030/

19. Confidential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Take Hadoop for a test-drive • Run examples (hadoop-examples-0.20.203.0.jar) • Grep using regular expressions • Copy files to HDFS: bin/hadoop fs -put bin input • Grep for files which have text beginning with ‘start’ • Verify output on HDFS: bin/hadoop fs -cat output/* • Copy output to local filesystem & verify: bin/hadoop fs -get output output && cat output/*

20. Confidential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Configure -- cluster • References: • http://hadoop.apache.org/common/docs/r0.20.203.0/cluster_setup.html (official documentation) • http://developer.yahoo.com/hadoop/tutorial/module7.html (Managing a Hadoop Cluster. Source: YDN) • http://wiki.datameer.com/display/DAS1/Hadoop+Cluster+Configuration+Tips

21. Conﬁdential, for personal use only. All original content copyright owned by Treasury of Ideas LLC All other & referenced work is copyrighted to their respective owners Questions? • blog: shanky.org | twitter: @tshanky • st@treasuryoﬁdeas.com

SDEC2011 Introducing Hadoop

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SDEC2011 Introducing Hadoop