Distributed-System-Mini-Google

Project number two of Distributed System course at Pitt for graduate students.

Amanda Crawford: acrawfor

Raphael

1. Project Overview
   1. Map Reduce Design Considerations
2. Mini Google Overview
3. Hadoop
   1. Hadoop Phases
   2. Hadoop Cluster
4. Hadoop Communication Paradigmns
   1. Job Tracker - Task Tracker
   2. Map to Combine
   3. Combine to Partition
   4. Partion to Reducer
5. HDFS Design Considerations
   1. HDFS Operations
   2. Components

Project Overview

Map Reduce Design Considerations

• How do we assign work units to workers?
• What if we have more work units than workers?
• What if workers need to share partial results?
• How do we aggregate partial results?  How do we know all the workers have finished?
• What if workers fail?

Mini Google Overview

1. Hadoop Implementation

• HDFS
• MapReduce Engine
• HBase / Lucene ( will not be used in project but influences designs)

2. Alternate Implementation

• Distributed File System - Data Storage and Batch Processing
• MapReduce - Computing
• Inverted Index - Searching and Query Handling

Hadoop

Hadoop Phases

1. Map
2. Sort/ Shuffle / Aggregate
3. Reduce

Hadoop Cluster

• Master Nodes
  • Yarn Resource Manager
  • HDFS Name Node
  • Job Trackers
  • Work Queue
• Worker Nodes
  • Yarn NodeManager
  • HDFS DataNode
  • Task Tracker and tasks

Hadoop Communication Paradigmns

Job Tracker - Task Tracker

• _Task Trackers
  • create and remove tasks received from the job trackers
  • communicates task status to job tracker by sending heartbeats
• _Job Tracker
  • Manages task trackers
  • Schedule and tracks jobs progress
  • Receives jobs from clients

Map to Combine

Combine to Partition

Partion to Reducer

HDFS Design Considerations

Source: https://hadoop.apache.org/docs/r1.2.1/hdfs_design.html

HDFS Operations

• Read - Load data

Components

• Name Node
• Data Node
• Task Tracker

Sources: Map Reduce & Hadoop

Hadoop YARN

Hadoop HDFS

[Hadoop HDFS] (https://www.tutorialspoint.com/hadoop/hadoop_hdfs_overview.htm)

Searching HDFS

HBase

[MapReduce] (https://www.guru99.com/introduction-to-mapreduce.html)

[MapReduce] (https://hci.stanford.edu/courses/cs448g/a2/files/map_reduce_tutorial.pdf)

[MapReduce] (https://www.tutorialspoint.com/hadoop/hadoop_mapreduce.htm) MAP Reduce Thorough

Apache Map Reduce Partition Tools

RPYC

Multiprocessing

Inverted Index