Running hadoop on ubuntu linux

Sep 28, 2010Download as PPT, PDF5 likes3,149 views

The document discusses Hadoop and HDFS. It provides an overview of HDFS architecture and how it is designed to be highly fault tolerant and provide high throughput access to large datasets. It also discusses setting up single node and multi-node Hadoop clusters on Ubuntu Linux, including configuration, formatting, starting and stopping the clusters, and running MapReduce jobs.

Introduction Single-Node Cluster http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Linux_(Single-Node_Cluster) Multi-Node Cluster http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Linux_(Multi-Node_Cluster) Decommission Issues ITRI Cloud Storage System Architecture Agenda

HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware . HDFS provides high throughput access to application data and is suitable for applications that have large data sets . HDFS relaxes a few POSIX requirements to enable streaming access to file system data. Introduction

Introduction (con’t) HDFS Architecture (source:http://hadoop.apache.org/core/docs/current/hdfs_design.html

Introduction (con’t) HDFS multi-node overview (source:http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Linux_(Multi-Node_Cluster)

Introduction (con’t) HDFS multi-node cluster Architecture (source:http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Linux_(Multi-Node_Cluster)

Prerequisites Sun JAVA 6 Add a hadoop system user Configuration SSH public key authentication Single-Node Cluster need to access localhost Disabling IPv6 Hadoop installation Configuration <HADOOP_INSTALL>/conf/hadoop-env.sh <HADOOP_INSTALL>/conf/core-site.xml <HADOOP_INSTALL>/conf/mapred-site.xml <HADOOP_INSTALL>/conf/hdfs-site.xml Single-Node Cluster

Formatting the name node <HADOOP_INSTALL>/hadoop/bin/hadoop namenode -format Starting/Stop your single-node cluster <HADOOP_INSTALL>/bin/start-all.sh <HADOOP_INSTALL>/bin/stop-all.sh Check hadoop processes are running jps Copy local example data to HDFS <HADOOP_INSTALL>/ bin/hadoop dfs -copyFromLocal /tmp/gutenberg gutenberg <HADOOP_INSTALL>/ bin/hadoop dfs –ls <HADOOP_INSTALL>/ bin/hadoop dfs -ls gutenberg Run the MapReduce job bin/hadoop jar hadoop-0.20.2-examples.jar wordcount gutenberg gutenberg-output Single-Node Cluster(con’t)

http ://localhost:50030/ - web UI for MapReduce job tracker(s) http://localhost:50060/ - web UI for task tracker(s) http://localhost:50070/ - web UI for HDFS name node(s) Single-Node Cluster(con’t)

/etc/hosts SSH access Configuration <HADOOP_INSTALL>/conf/masters master <HADOOP_INSTALL>/conf/slaves master slave anotherslave01 anotherslave02 anotherslave03 <HADOOP_INSTALL>/ conf/core-site.xml <value> hdfs://master:54310 </value> <HADOOP_INSTALL>/ conf/mapred-site.xml <HADOOP_INSTALL>/ conf/hdfs-site.xml Multi-Node Cluster

Make a large cluster smaller by taking out a bunch of nodes simultaneously. How can this be done? Create a file “excludes” slave97 slave98 slave99 Add configuration in <HADOOP_INSTALL>/conf/hadoop-site.xml <property> <name>dfs.hosts.exclude</name> <value>excludes</value> </property> <HADOOP_INSTALL>/bin/hadoop dfsadmin -refreshNodes Decommission

NameNode backup NameNode shutdown DataNode shutdown Add DataNode dynamically Remove DataNode dynamically(Decommission?) How to tune file/block size? Big data testing Issues

Cloud Storage System Architecture HDFS Client HDFS DataNode HDFS NameNode HDFS DataNode … iSCSI Target iSCSI Initiator VM Volume DMS

Read Flow HDFS Client HDFS DataNode HDFS NameNode iSCSI Target iSCSI Initiator VM Volume I.1 I.2 I.4 1 4 5 6 I.5 I.3 I.4 DMS 2 3

Write Flow HDFS DataNode 1 HDFS NameNode 1 4 5 6 HDFS DataNode 2 7 VM (Domain-U) HDFS Client iSCSI Target iSCSI Initiator VM Volume I.1 I.2 I.4 I.5 I.3 I.4 9 8 10 7.1 8.2 11 12 DMS 2 3

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Running hadoop on ubuntu linux

1. Running Hadoop On Ubuntu Linux

2. Introduction Single-Node Cluster http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Linux_(Single-Node_Cluster) Multi-Node Cluster http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Linux_(Multi-Node_Cluster) Decommission Issues ITRI Cloud Storage System Architecture Agenda

3. HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware . HDFS provides high throughput access to application data and is suitable for applications that have large data sets . HDFS relaxes a few POSIX requirements to enable streaming access to file system data. Introduction

4. Introduction (con’t) HDFS Architecture (source:http://hadoop.apache.org/core/docs/current/hdfs_design.html

5. Introduction (con’t) HDFS multi-node overview (source:http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Linux_(Multi-Node_Cluster)

6. Introduction (con’t) HDFS multi-node cluster Architecture (source:http://www.michael-noll.com/wiki/Running_Hadoop_On_Ubuntu_Linux_(Multi-Node_Cluster)

7. Prerequisites Sun JAVA 6 Add a hadoop system user Configuration SSH public key authentication Single-Node Cluster need to access localhost Disabling IPv6 Hadoop installation Configuration <HADOOP_INSTALL>/conf/hadoop-env.sh <HADOOP_INSTALL>/conf/core-site.xml <HADOOP_INSTALL>/conf/mapred-site.xml <HADOOP_INSTALL>/conf/hdfs-site.xml Single-Node Cluster

8. Formatting the name node <HADOOP_INSTALL>/hadoop/bin/hadoop namenode -format Starting/Stop your single-node cluster <HADOOP_INSTALL>/bin/start-all.sh <HADOOP_INSTALL>/bin/stop-all.sh Check hadoop processes are running jps Copy local example data to HDFS <HADOOP_INSTALL>/ bin/hadoop dfs -copyFromLocal /tmp/gutenberg gutenberg <HADOOP_INSTALL>/ bin/hadoop dfs –ls <HADOOP_INSTALL>/ bin/hadoop dfs -ls gutenberg Run the MapReduce job bin/hadoop jar hadoop-0.20.2-examples.jar wordcount gutenberg gutenberg-output Single-Node Cluster(con’t)

9. http ://localhost:50030/ - web UI for MapReduce job tracker(s) http://localhost:50060/ - web UI for task tracker(s) http://localhost:50070/ - web UI for HDFS name node(s) Single-Node Cluster(con’t)

10. /etc/hosts SSH access Configuration <HADOOP_INSTALL>/conf/masters master <HADOOP_INSTALL>/conf/slaves master slave anotherslave01 anotherslave02 anotherslave03 <HADOOP_INSTALL>/ conf/core-site.xml <value> hdfs://master:54310 </value> <HADOOP_INSTALL>/ conf/mapred-site.xml <HADOOP_INSTALL>/ conf/hdfs-site.xml Multi-Node Cluster

11. Make a large cluster smaller by taking out a bunch of nodes simultaneously. How can this be done? Create a file “excludes” slave97 slave98 slave99 Add configuration in <HADOOP_INSTALL>/conf/hadoop-site.xml <property> <name>dfs.hosts.exclude</name> <value>excludes</value> </property> <HADOOP_INSTALL>/bin/hadoop dfsadmin -refreshNodes Decommission

12. NameNode backup NameNode shutdown DataNode shutdown Add DataNode dynamically Remove DataNode dynamically(Decommission?) How to tune file/block size? Big data testing Issues

13. Cloud Storage System Architecture HDFS Client HDFS DataNode HDFS NameNode HDFS DataNode … iSCSI Target iSCSI Initiator VM Volume DMS

14. Read Flow HDFS Client HDFS DataNode HDFS NameNode iSCSI Target iSCSI Initiator VM Volume I.1 I.2 I.4 1 4 5 6 I.5 I.3 I.4 DMS 2 3

15. Write Flow HDFS DataNode 1 HDFS NameNode 1 4 5 6 HDFS DataNode 2 7 VM (Domain-U) HDFS Client iSCSI Target iSCSI Initiator VM Volume I.1 I.2 I.4 I.5 I.3 I.4 9 8 10 7.1 8.2 11 12 DMS 2 3

Editor's Notes

#3: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#4: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#5: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#6: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#7: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#8: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#9: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#10: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#11: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#12: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。
#13: 說明專案規劃的重要性、與生命週期各階段的關係及相關流程領域。說明 CMMI 專案規劃流程領域的規範內容。提供一些專案規劃範例程序。說明如何規劃製作專案規劃程序。

Running hadoop on ubuntu linux

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Editor's Notes