The document discusses the key configuration settings needed to set up a single node Hadoop cluster. It explains the default configuration files and properties in Hadoop. The core-site.xml, hdfs-site.xml, yarn-site.xml, and mapred-site.xml configuration files need to be modified with properties like fs.default.name, dfs.replication, yarn.nodemanager.aux-services, and mapreduce.framework.name. The document provides examples of configuring properties for the namenode and datanode directories, block size, replication factor, and YARN-related settings. It recommends overriding default properties as needed and links to a guide for setting up a single node pseudo-
12cR2 Single-Tenant: Multitenant Features for All EditionsFranck Pachot
Multitenant architecture is available even without Oracle's multitenant option. In this session take a look at the overhead and the 12.2 new features so that you can choose among single-tenant or non-container databases. These features include agility in data movement, easy flashback, and fast upgrade.
MySQL Replication: Demo Réplica en EspañolKeith Hollman
MySQL Replication technical example in Spanish.
Ejemplo técnico de réplica de MySQL en Español.
Es una guía muy rápida para quitar el miedo a empezar a jugar con réplica.
MySQL Enterprise Backup: Backup & Recovery Performance tests, full and partial restores, comparisons using MySQL Utilities, using transportable tablespaces, etc.
A simple scenario on a small environment, using ubuntu a laptop and an external hd, showing how to use MEB and leave mysqldump to those specific situations, and reduce backup and restore times via MEB and single-image files, extracting specific .ibd or .frm's and recover the lost rows, or a dropped table.
12cR2 Single-Tenant: Multitenant Features for All EditionsFranck Pachot
Multitenant architecture is available even without Oracle's multitenant option. In this session take a look at the overhead and the 12.2 new features so that you can choose among single-tenant or non-container databases. These features include agility in data movement, easy flashback, and fast upgrade.
MySQL Replication: Demo Réplica en EspañolKeith Hollman
MySQL Replication technical example in Spanish.
Ejemplo técnico de réplica de MySQL en Español.
Es una guía muy rápida para quitar el miedo a empezar a jugar con réplica.
MySQL Enterprise Backup: Backup & Recovery Performance tests, full and partial restores, comparisons using MySQL Utilities, using transportable tablespaces, etc.
A simple scenario on a small environment, using ubuntu a laptop and an external hd, showing how to use MEB and leave mysqldump to those specific situations, and reduce backup and restore times via MEB and single-image files, extracting specific .ibd or .frm's and recover the lost rows, or a dropped table.
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How to configure the clusterbased on Multi-site (WAN) configurationAkihiro Kitada
Step by step instruction to configure Apache Geode cluster based on Multi-site (WAN) configuration. This is basically applicable to Pivotal GemFire - commercial version of Apache Geode.
MySQL's new Secure by Default Install -- All Things Open October 20th 2015Dave Stokes
One of the new features of MySQL 5.7 is enhanced security. This includes password rotation, lengthening the user name field, SSL encouragement, and much more. This session presented at All Things open 2015 and covers the changes in MySQL 5.7
In this presentation I’ll be discussing the following beginner points to understanding and creating monitoring.
* Why Monitor?
* What’s the minimum to Monitor?
* How to monitor?
* Monitoring Software Options.
* How to use the most basic of monitoring to help
* The basics of graphing results
* The rule of Everything
* The important on Application metrics and timings
For a very little investment in time, simple monitoring can be in place, and I can guarantee it will be of benefit to any system.
The basis of monitoring are metrics that combined with application measurements can provide trending insights, bottleneck understanding and provide valuable feedback about your growing site.
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How to configure the clusterbased on Multi-site (WAN) configurationAkihiro Kitada
Step by step instruction to configure Apache Geode cluster based on Multi-site (WAN) configuration. This is basically applicable to Pivotal GemFire - commercial version of Apache Geode.
MySQL's new Secure by Default Install -- All Things Open October 20th 2015Dave Stokes
One of the new features of MySQL 5.7 is enhanced security. This includes password rotation, lengthening the user name field, SSL encouragement, and much more. This session presented at All Things open 2015 and covers the changes in MySQL 5.7
In this presentation I’ll be discussing the following beginner points to understanding and creating monitoring.
* Why Monitor?
* What’s the minimum to Monitor?
* How to monitor?
* Monitoring Software Options.
* How to use the most basic of monitoring to help
* The basics of graphing results
* The rule of Everything
* The important on Application metrics and timings
For a very little investment in time, simple monitoring can be in place, and I can guarantee it will be of benefit to any system.
The basis of monitoring are metrics that combined with application measurements can provide trending insights, bottleneck understanding and provide valuable feedback about your growing site.
The What, Why and How of (Web) Analytics Testing (Web, IoT, Big Data)Anand Bagmar
Learning Objectives:
The most used and heard about buzz words in the Software Industry today are … IoT and Big Data!
With IoT, with a creative mindset looking for opportunities and ways to add value, the possibilities are infinite. With each such opportunity, there is a huge volume of data being generated - which if analyzed and used correctly, can feed into creating more opportunities and increased value propositions.
There are 2 types of analysis that one needs to think about.
1. How is the end-user interacting with the product? This will give some level of understanding into how to re-position and focus on the true value add features for the product.
2. With the huge volume of data being generated by the end-user interactions, and the data being captured by all devices in the food-chain of the offering, it is important to identify patterns from what has happened, and find out new product / value opportunities based on usage patterns.
Learn what is Web Analytics, why is it important, and see some techniques how you can test it manually and and also automate that validation.
What are the top 100 SQL Interview Questions and Answers in 2014? Based on the most popular SQL questions asked in interview, we've compiled a list of the 100 most popular SQL interview questions in 2014.
This pdf includes oracle sql interview questions and answers, sql query interview questions and answers, sql interview questions and answers for freshers etc and is perfect for those who're appearing for a linux interview in top IT companies like HCL, Infosys, TCS, Wipro, Tech Mahindra, Cognizant etc
This list includes SQL interview questions in the below categories:
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If you're looking for the top 100 linux interview questions and answers, then you've come to the right place. We at hirist have compiled a list of the top linux interview questions that are asked by companies like TCS, Infosys, Wipro, HCL and Cognizant and put it together in a pdf format that can be downloaded for free.
You can easily download this free linux interview questions pdf file and use it to prepare for an interview. It doesn't matter if you're looking for linux interview questions and answers for freshers or linux interview questions and answers for experienced because this presentation will cater to both segments.
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The Hadoop Cluster Administration course at Edureka starts with the fundamental concepts of Apache Hadoop and Hadoop Cluster. It covers topics to deploy, manage, monitor, and secure a Hadoop Cluster. You will learn to configure backup options, diagnose and recover node failures in a Hadoop Cluster. The course will also cover HBase Administration. There will be many challenging, practical and focused hands-on exercises for the learners. Software professionals new to Hadoop can quickly learn the cluster administration through technical sessions and hands-on labs. By the end of this six week Hadoop Cluster Administration training, you will be prepared to understand and solve real world problems that you may come across while working on Hadoop Cluster.
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
Hadoop Interview Questions and Answers by rohit kapakapa rohit
Hadoop Interview Questions and Answers - More than 130 real time questions and answers covering hadoop hdfs,mapreduce and administrative concepts by rohit kapa
Hadoop is an open source software framework that supports data-intensive distributed applications. Hadoop is licensed under the Apache v2 license. It is therefore generally known as Apache Hadoop. Hadoop has been developed, based on a paper originally written by Google on MapReduce system and applies concepts of functional programming. Hadoop is written in the Java programming language and is the highest-level Apache project being constructed and used by a global community of contributors. The Topics covered in the presentation are:
1. Understand Cluster Planning
2.Understand Hadoop Fully Distributed Cluster Setup with two nodes.
3.Add further nodes to the running cluster
4.Upgrade existing Hadoop cluster from Hadoop 1 to Hadoop 2
5.Understand Active namenode failure and how passive takes over
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
The following blogs will help you understand the significance of Hadoop Administration training:
http://www.edureka.co/blog/why-should-you-go-for-hadoop-administration-course/
http://www.edureka.co/blog/how-to-become-a-hadoop-administrator/
http://www.edureka.co/blog/hadoop-admin-responsibilities/
With the advent of Hadoop, there comes the need for professionals skilled in Hadoop Administration making it imperative to be skilled as a Hadoop Admin for better career, salary and job opportunities.
ACADGILD:: FRONTEND LESSON -Ruby on rails vs groovy on railsPadma shree. T
Have you ever wondered as to what these terms are – Ruby, Groovy, Rail and got confused as to what all this is about? Which one to choose? Which one is better and which is not? Well then here is a blog which I write with the intention of making things clear between Ruby on Rails and Groovy on Rails.
ACADGILD:: ANDROID LESSON-How to analyze & manage memory on android like ...Padma shree. T
This Blog is all about memory management in Android. It provides information about how you can analyze & reduce memory usage while developing an Android app.
Memory management is a complex field of computer science and there are many techniques being developed to make it more efficient. This guide is designed to introduce you to some of the basic memory management issues that programmers face.
ACADGILD:: HADOOP LESSON - File formats in apache hivePadma shree. T
This Blog aims at discussing the different file formats available in Apache Hive. After reading this Blog you will get a clear understanding of the different file formats that are available in Hive and how and where to use them appropriately. Before we move forward lets discuss about Apache Hive.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
1. ACADGILDACADGILD
INTRODUCTION
Are you a Hadoop developer and want to know the basics of configuring Hadoop cluster? If yes then
this blog will help you to set up a single node cluster on your machine right away!
This blog aims to provide a brief on the most needed settings that need to be taken care of, for a
successful installation.
What Is The Default Configuration In Hadoop?
This blog will guide you with the right settings to setup a single node cluster step by step. The single
node mode is usually used by the developers to test their sample codes.
When you download the Hadoop tar file and install it with default settings, you get a standalone mode.
All the xml files for Hadoop contains properties defined by Apache through which Hadoop understands
its limitations and responsibilities as well as its working nature.
The links below give us the default property settings for all types of configuration files that are needed
for Hadoop:
http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/core-default.xml
http://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/hdfs-default.xml
http://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-
core/mapred-default.xml
http://hadoop.apache.org/docs/current/hadoop-yarn /hadoop-yarn-common/yarn-default.xml
The four files that need to be configured explicitly while setting up a single node hadoop cluster are:
•Core-site.xml
•HDFS-site.xml
•YARN-site.xml
•xml
Overriding The Default xml Properties In site.xml File
We can override some explicit properties by configuring them in above files.
Example:
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2. ACADGILDACADGILD
In Hadoop, default replication factor is 3 but we can override that property by making replication factor
as 1 by explicitly configuring the property in hdfs-site.xml.
Overriding the default parameters optimizes the cluster, improves performance and lets one know about
the internal working of Hadoop ecosystem.
Below screenshot shows different files which can be either overridden with explicit properties or can
be used as default properties in Hadoop cluster.
How site.xml Overrides default.xml Settings
Hadoop’s jar files are available in the following path:
$HADOOP_HOME/share/hadoop/
[here HADOOP_HOME indicates path where Hadoop is installed]
It gets all the default configuration details, like default replication factor which is 3
from DFSclient.java from one of the jar files
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3. ACADGILDACADGILD
$HADOOP_HOME/share/hadoop/
The default configuration files have specific classpath from where it is always loaded in reference for
working Hadoop. Similarly the modified site.xml files given to developer are loaded from classpath
and checked for additional configuration objects created and deployed into the existing Hadoop
ecosystem overriding the default.xml files.
We will look through the xml files wich we specifically need to alter files at the time of basic
installation of the single node cluster.
Common things to all xml files
We can specify the new value with tags like <property>, <name>, <description>, <final>, etc. inside
predefined <configuration> tag. As Hadoop is an open source framework so the owners have provided
option to override some features by declaring some attribute inside various site.xml files.
Settings that need to be done in Core-site.xml
Some of the important properties are:
•Configuring the name node address
•Configuring the rack awareness factor
•Selecting the type of security
Refer the Table below for the schematic representation of the above properties:
<property>
<name>fs.default.name</name>
<value>hdfs://localhost:9000</value>
<description>The name of the default file system. Either the literal string "local" or a host:port for
NDFS. </description>
<final>true</final>
</property>
<property>
<name>hadoop.security.authentication</name>
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4. ACADGILDACADGILD
<value>kerberos</value>
<description>
Set the authentication for the cluster. Valid values are: simple or kerberos.
</description>
</property>
<property>
<name>fs.trash.interval</name>
<value>0</value>
<description>Number of minutes between trash checkpoints.
If zero, the trash feature is disabled.
</description>
</property>
<name>fs.default.name</name>Here is a detailed description of the below attribute which is
compulsorily needed for configuring Hadoop single node cluster.
<value>hdfs://localhost:9000</value>
A filesystem path in Hadoop has two main components:
•A URI (Uniform Resource Identifier) that identifies the file system
•A path which specifies only the path
Hadoop tries to find that path on the file system defined by fs.default.name
Syntax:
hdfs://<authority><port>
Hadoop tries to find the path on HDFS whose namenode is running at <authority><port>
At some point, if a user specifies both the URI and the path in the request, then the URI in the request
overrides fs.default.name and Hadoop tries to find the path on the filesystem identified by the URI in
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5. ACADGILDACADGILD
the request.
One of the important tasks done by fs.default.name filesystem is handling the delete operation in
Hadoop ecosystem.
Some of the overridden name attributes are hadoop.security.authentication, fs.trash.interval,
fs.default.name. Explanation for the attribute we use while setting single node cluster is explained here
with the help of these examples.These examples help us to understand it better while sharing the
customized config.
Settings To Be Done In HDFS-site.xml
The properties inside this xml file deals with storage procedure inside HDFS of Hadoop. Some of the
important properties are:
•Configure port access
•Manages ssl client authentication
•Controls Network interface
•Changes file permission
Some of the overridden name attributes are dfs.namenode.name.dir, dfs.datanode.data.dir, blocksize,
replication, etc.
Explanation for the attributes that we use while setting single node cluster is explained here.
Block replication can be configured using the below setting:
<name>replication </name>
<value>3</value>
The default is used if replication is not specified in create time which is 3 .
Maximum block replication can be 512 and minimum can be 1.
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6. ACADGILDACADGILD
We can change the replication factor on a per file basis using the Hadoop FS shell
$hadoop fs-setrep –w 3 /my_file
All files inside directory are available here
$hadoop fs-setrep –w 3 /my_dir
Block size can be configured using
<name>dfs.namenode.name.dir</name>
<value>/user/tom/Hadoop/namenode</value>
This takes the specified path for namenode directory on local filesystem. It has the parent property of
directory and stores the name table. If this is a comma-delemited list of directories then the name table
is replicated in all the directories, for redundancy. In case of any loss for data, this redundancy helps in
recovering the lost data. Here comes the replication factor, which again defines how many copies of a
file has been stored.
<name>dfs.datanode.data.dir</name>
<value>/user/tom/Hadoop/namenode </value>
This takes the specified path for datanode directory on local filesystem. It has the parent property of
directory on the local filesystem on DFS datanode and stores it in blocks. If this is comma delimited list
of directories then data will be stored in named directories, typically on different devices.
<name>dfs.block.size</name>
<value>134217728</value>
It will change the default block size for all files inside HDFS. In this case, we set the dfs.block.size to
128MB. Changing this setting will only affect the block size of files placed into HDFS after this
settings has taken effect.
The fsck command will give replication factor as result with other important factors as shown in figure
below:
$hdfs fsck /<path of file >/<name of file >
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7. ACADGILDACADGILD
Settings In yarn-site.xml
Understanding about yarn-site.xml is easy if I explain you some relative concepts of YARN and why
YARN came into existence in Hadoop v2.x .
In Hadoop v1.x TaskTraker and JobTracker were present to handle the job of allocating resources to
processes.
YARN has ResourceManager settings which effects resource allocation with node manager and
application manager. Some of the important properties are:
•WebAppProxy Configuration
•MapReduce Configuration
•NodeManager Configuration
•ResourceManager Configuration
•IPC Configuration
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8. ACADGILDACADGILD
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
It tells the NodeManager if any auxillary service called mapreduce.shuffle need to implemented. After
we tell the NodeManager to implement that service, we give it a class name as the means to implement
that service. This particular configuration tells MapReduce how to do its shuffle because
NodeManagers won’t shuffle data for a non- MapReduce job. We need to configure such a service for
MapReduce by default.
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
This property tells NodeManager that MapReduce container will have to do a shuffle from the map
tasks to the reduce task.
Previously the shuffle step was part of the MapReduce TaskTracker.
The shuffle is an auxillary service and must be sent in the configuration file. In addition we
have yarn.nodemanager.aux.services.mapreduce.shuffle. Although it is possible to write your own
shuffle handler by extending this class, it is recommended that the default class be used.
Shuffle handler :- It is a process that runs inside the YARN NodeManager, the rest server and many
third party applications and they all use the port 8080. This will result in conflicts if you deploy more
than one at a time without reconfiguring the default port.
Some of the overridden name attributes are yarn.resourcemanager.am.max-attempts,
yarn.resourcemanager.proxy-user-privileges.enabled, yarn.nodemanager.aux-services,
yarn.nodemanager.aux-services.mapreduce.shuffle.class etc.
mapred-site.xml
When Hadoop runs for any analysis of dataset, the framework at runtime for MapReduce jobs is a vast
set of rules for assigning jobs to slave and maintain the jobs records. Here YARN in Hadoop2.x is
introduced to help this framework to work efficiently and take the workload for job related
assignments. It is again a large unit of Hadoop ecosystem which helps running the map and reduce the
collaboration with YARN. Some of the important features it handles are:
•Node health script variables
•Proxy Configuration
https://acadgild.com/blog/key-configurations-in-hadoop-installation/https://acadgild.com/blog/key-configurations-in-hadoop-installation/
9. ACADGILDACADGILD
•Job Notification Configuration
<name>mapreduce.framework.name</name>
<value>yarn</value>
The value of this attribute determines whether you are running MapReduce framework in local mode,
classic (mapreduce v1) mode or YARN(MapReduce v2) mode. The local mode indicates that the job is
run locally using local JobRunner. If set to YARN , the job is submitted and executed via the YARN-
cluster.
Some of the overridden name attributes are yarn.app.mapreduce.client.max-retries,
mapreduce.shuffle.port, mapreduce.job.tags, I/O properties.
All these properties explained above sum up the requirement for a single node hadoop cluster.
Follow the document given in the below link to set up a pseudo mode single node hadoop cluster for a
deep understanding.
https://drive.google.com/file/d/0Bxr27gVaXO5scjVxZDBzV3IwRVE/view?usp=sharing
https://acadgild.com/blog/key-configurations-in-hadoop-installation/https://acadgild.com/blog/key-configurations-in-hadoop-installation/
10. ACADGILDACADGILD
•Job Notification Configuration
<name>mapreduce.framework.name</name>
<value>yarn</value>
The value of this attribute determines whether you are running MapReduce framework in local mode,
classic (mapreduce v1) mode or YARN(MapReduce v2) mode. The local mode indicates that the job is
run locally using local JobRunner. If set to YARN , the job is submitted and executed via the YARN-
cluster.
Some of the overridden name attributes are yarn.app.mapreduce.client.max-retries,
mapreduce.shuffle.port, mapreduce.job.tags, I/O properties.
All these properties explained above sum up the requirement for a single node hadoop cluster.
Follow the document given in the below link to set up a pseudo mode single node hadoop cluster for a
deep understanding.
https://drive.google.com/file/d/0Bxr27gVaXO5scjVxZDBzV3IwRVE/view?usp=sharing
https://acadgild.com/blog/key-configurations-in-hadoop-installation/https://acadgild.com/blog/key-configurations-in-hadoop-installation/