Hadoop Administration Training | Hadoop Administration Tutorial | Hadoop Administration | Edureka
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This Edureka Hadoop Administration Training tutorial will help you understand the functions of all the Hadoop daemons and what are the configuration parameters involved with them. It will also take you through a step by step Multi-Node Hadoop Installation and will discuss all the configuration files in detail. Below are the topics covered in this tutorial: 1) What is Big Data? 2) Hadoop Ecosystem 3) Hadoop Core Components: HDFS & YARN 4) Hadoop Core Configuration Files 5) Multi Node Hadoop Installation 6) Tuning Hadoop using Configuration Files 7) Commissioning and Decommissioning the DataNode 8) Hadoop Web UI Components 9) Hadoop Job Responsibilities
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Hadoop Administration Training | Hadoop Administration Tutorial | Hadoop Administration | Edureka
- 1. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Webpage
- 2. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Agenda ➢ What is Big Data? ➢ Hadoop Introduction: Solution to Big Data Problem ➢ Hadoop Ecosystem ➢ Hadoop Core Components: HDFS & YARN ➢ Hadoop Core Configuration Files ➢ Multi-Node Hadoop Installation ➢ Configuring Hadoop using Configuration Files ➢ Commissioning/ Decommissioning of the DataNode ➢ Hadoop Web UI Components ➢ Hadoop Job Responsibilities
- 3. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING What is Big Data?
- 4. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING What is Big Data? “Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications” Volume Variety Velocity Value Veracity Uncertainty and inconsistencies in the data Finding correct meaning out of the data Data is being generated at an alarming rate Processing different types of data Processing increasing huge data sets
- 5. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop: Solution to Big Data
- 6. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop: Solution to Big Data Hadoop Cluster HDFS (Storage) MapReduce (Processing) Allows parallel processing of the data stored in HDFS Master Slaves Allows to dump any kind of data across the cluster Hadoop is a framework that allows us to store and process large data sets in parallel and distributed fashion
- 7. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Ecosystem
- 8. EDUREKA HADOOP CERTIFICATION TRAINING www.edureka.co/big-data-and-hadoop Hadoop Ecosystem
- 9. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Core Components
- 10. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Core Components Secondary Namenode
- 11. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING HDFS Core Components
- 12. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING HDFS Core Components NameNode ▪ Master daemon ▪ Maintains and Manages DataNodes ▪ Records metadata e.g. location of blocks stored, the size of the files, permissions, hierarchy, etc. ▪ Receives heartbeat and block report from all the DataNodes DataNode ▪ Slave daemons ▪ Stores actual data ▪ Serves read and write requests from the clients Secondary NameNode ▪ Checkpointing Node ▪ Responsible for combining the EditLogs with FsImage from the NameNode Secondary NN
- 13. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING HDFS Architecture
- 14. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING HDFS Architecture write
- 15. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING YARN Core Components
- 16. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING YARN Core Components
- 17. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING YARN Architecture
- 18. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING YARN Architecture Resource Manager Node Manager Node Manager container App Master App Master container Node Manager App Master container Client Node Status Resource Request MapReduce Status
- 19. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Cluster
- 20. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Cluster Slaves and Master Machines NameNode Secondary NameNode Slave Nodes Slave Nodes Slave Nodes Slave Nodes Slave Nodes Slave Nodes Slave Nodes Slave Nodes Slave Nodes Slave Nodes switch switch switch core switch Rack 1 Rack 2 Rack 3
- 21. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Cluster Modes
- 22. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Cluster Modes Standalone (or Local) Mode ➢ No daemons, everything runs in a single JVM ➢ Suitable for running MapReduce programs during development ➢ Has no DFS or Distributed File System Pseudo Distributed Mode ➢ All Hadoop daemons run on the local machine Multi-Node Cluster Mode ➢ Hadoop daemons run on a cluster of machines
- 23. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Cluster Hardware Specification
- 24. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Cluster Hardware Specification NameNode DataNodes ▪ RAM: 64 GB, ▪ Hard disk: 1 TB ▪ Processor: Xenon with 8 Cores ▪ Ethernet: 3 x 10 GB/s ▪ OS: 64-bit CentOS ▪ Power: Redundant Power Supply ▪ RAM: 32 GB ▪ Hard disk: 1 TB ▪ Processor: Xenon with 4 Cores ▪ Ethernet: 3 x 10 GB/s ▪ OS: 64-bit CentOS ▪ Power: Redundant Power Supply ▪ RAM: 16GB ▪ Hard disk: 6 x 2TB ▪ Processor: Xenon with 2 cores ▪ Ethernet: 3 x 10 GB/s ▪ OS: 64-bit CentOS Active/Passive NameNode Secondary NameNode DataNode
- 25. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Configuration Files
- 26. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING HDFS Configuration Files Configuration setting for Hadoop Core such as I/O settings that are common to HDFS and MapReduce 1 /etc/hadoop/core-site.xml Configuration settings for HDFS daemons, the NameNode, the Secondary NameNode and DataNodes 2 /etc/hadoop/hdfs-site.xml Configuration settings for MapReduce3 /etc/hadoop/mapred-site.xml
- 27. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING HDFS Configuration Files specifies environment variables that affect the JDK used by Hadoop Daemon (bin/hadoop) 5 hadoop-env.sh A list of machines specifying each DataNode and Node Manager 6 slaves Configuration settings for YARN Daemons 4 /etc/hadoop/yarn-site.xml
- 28. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Multi-Node Hadoop Installation (Demo)
- 29. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Configuring Hadoop 02 core-site.xml 03 hdfs-site.xml 04 mapred-site.xml 05 Yarn-site.xml 01 hadoop-env.sh
- 30. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hadoop-env.sh export HADOOP_PID_DIR=/home/hadoop/data/pid export HADOOP_HEAPSIZE=2000 export JAVA_HOME=/home/hadoop/jdk Java Implementation to use Max. amount of Heap to use Directory where the daemons’ process id files are stored.
- 31. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Configuring Hadoop 02 core-site.xml 03 hdfs-site.xml 04 mapred-site.xml 05 Yarn-site.xml 01 hadoop-env.sh
- 32. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING core-site.xml Default Port Number and Filesystem Name Specifying Temporary Directory
- 33. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Configuring Hadoop 02 core-site.xml 03 hdfs-site.xml 04 mapred-site.xml 05 Yarn-site.xml 01 hadoop-env.sh
- 34. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hdfs-site.xml Replication Factor
- 35. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hdfs-site.xml Replication Factor: 3 Moving test.txt into HDFS File Replication: 3 Listing Files in directory
- 36. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hdfs-site.xml If true, enable permission checking in HDFS
- 37. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hdfs-site.xml Local Directory where FsImage will be stored
- 38. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hdfs-site.xml Local Directory where all the DFS data will be stored
- 39. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hdfs-site.xml Block Size Configuration in Bytes file.xml 1 2 8 M B 128 MB 1 2 8 M B 128 MB HDFS Cluster HDFS Blocks moving to HDFS Note: The default Block Size is 128 MB
- 40. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hdfs-site.xml Secondary NameNode HTTP Address
- 41. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING hdfs-site.xml Directory where Secondary NameNode stores the temporary images to merge
- 42. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Configuring Hadoop 02 core-site.xml 03 hdfs-site.xml 04 mapred-site.xml 05 Yarn-site.xml 01 hadoop-env.sh
- 43. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING mapred-site.xml MAP Other Maps REDUCEinput-split in-memory buffer partition, sort and spill to disc merge fetch merge merge partitions mapreduce.task.io.sort.factor Default: 10 mapreduce.task.io.sort.mb Default: 100 MB reduce phase M A P R E D U C E J O B W O R K F L O W
- 44. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING mapred-site.xml Number of streams (spill files) to merge at once while sorting files Total amount of buffer memory to use while sorting files, in megabytes Runtime framework for executing MapReduce jobs
- 45. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING mapred-site.xml threshold at which buffer data will spilled into disc by thread Local Disc 20 % 50 % 80%80% Spill data Node Manager RAM local directory where MapReduce stores intermediate data files
- 46. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING mapred-site.xml MapReduce JobHistory Server IPC host:port MapReduce JobHistory Server Web UI host:port
- 47. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Configuring Hadoop 02 core-site.xml 03 hdfs-site.xml 04 mapred-site.xml 05 Yarn-site.xml 01 hadoop-env.sh
- 48. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING MapReduce Job Workflow
- 49. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING yarn-site.xml The address of the applications manager interface in the RM. The address of the scheduler interface Required by NodeManagers to connect to Resource Manager
- 50. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING yarn-site.xml Where to aggregate logs to Remote log Dir Where to store container logs URL where aggregated logs can be accessed after the application completes
- 51. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING yarn-site.xml Path to file with nodes to exclude. Path to file with nodes to include minimum allocation for every container request at the RM, in MBs
- 52. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING yarn-site.xml maximum allocation for every container request at the RM, in MBs Amount of physical memory, in MB, that can be allocated for containers. maximum allocation for every container request at the RM, in terms of virtual CPU cores
- 53. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Commissioning DataNode & NodeManager
- 54. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Commissioning DataNode NameNode DataNode1 DataNode2 DataNode3 NameNode DataNode1 DataNode2 DataNode3 DataNode4 NameNode DataNode1 DataNode2 DataNode3 DataNode4 Run Balancer Commissioning DataNode
- 55. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Commissioning DataNode 1 Update hdfs-site.xml: dfs.hosts.include 2 Update yarn-site.xml: yarn.resourcemanager.n odes.include-path 3 Add DataNode IP to file ‘includes’ i6 5 4 hadoop dfsadmin - report hdfs dfsadmin -refreshNodes yarn rmadmin -refreshNodes
- 56. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Demo
- 57. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Decommissioning DataNode & NodeManager
- 58. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Decommissioning DataNode NameNode DataNode1 DataNode2 DataNode3 DataNode4 NameNode DataNode1 DataNode2 DataNode3 Decommissioning DataNode (no balancer required)
- 59. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Decommissioning DataNode 1 Update hdfs-site.xml: dfs.hosts.exclude 2 Update yarn-site.xml: yarn.resourcemanager.n odes.exclude-path 3 Add DataNode IP to file ‘excludes’ i6 5 4 hadoop dfsadmin - report hdfs dfsadmin -refreshNodes yarn rmadmin -refreshNodes
- 60. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Demo
- 61. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Web UI Component
- 62. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING NameNode Web UI - 50070
- 63. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING ResourceManager Web UI - 8088
- 64. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Secondary NameNode Web UI - 50090
- 65. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING JobHistory Web UI - 19888
- 66. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Architecture - Recap
- 67. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Architecture - Recap Secondary NameNode NameNode ResourceManager DataNode DataNode NodeManger NodeManager container App Master container App Master NodeManger NodeManager container App Master container App Master DataNode DataNode JobHistory Server
- 68. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Conclusion: Hadoop Job Responsibilities
- 69. www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING Hadoop Admin Job Responsibilities Responsible for implementation and support of the Enterprise Hadoop environment Involves designing, capacity arrangement, cluster set up, performance fine-tuning, monitoring, structure planning & scaling Need to implement concepts of Hadoop eco system such as YARN, MapReduce, HDFS, HBase, Zookeeper, Pig and Hive Manage, monitor and analyze Hadoop File System & Log files. Also responsible for Security measures
- 70. EDUREKA HADOOP CERTIFICATION TRAINING www.edureka.co/big-data-and-hadoop Thank You … Questions/Queries/Feedback