mapreducepatterns | MapReduce Design Patterns | Architecture library

by adamjshook Java Version: v1.0.0 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | mapreducepatterns Summary

mapreducepatterns is a Java library typically used in Architecture applications. mapreducepatterns has no bugs, it has no vulnerabilities and it has low support. However mapreducepatterns build file is not available. You can download it from GitHub.

Repository for MapReduce Design Patterns (O’Reilly 2012) example source code.

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Support

mapreducepatterns has a low active ecosystem.

It has 213 star(s) with 193 fork(s). There are 46 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 164 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mapreducepatterns is v1.0.0

mapreducepatterns Support

Best in #Architecture

Average in #Architecture

mapreducepatterns Support

Best in #Architecture

Average in #Architecture

Quality

mapreducepatterns has 0 bugs and 0 code smells.

mapreducepatterns Quality

Best in #Architecture

Average in #Architecture

mapreducepatterns Quality

Best in #Architecture

Average in #Architecture

Security

mapreducepatterns has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

mapreducepatterns code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

mapreducepatterns Security

Best in #Architecture

Average in #Architecture

mapreducepatterns Security

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License

mapreducepatterns does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

mapreducepatterns License

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mapreducepatterns License

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mapreducepatterns releases are available to install and integrate.

mapreducepatterns has no build file. You will be need to create the build yourself to build the component from source.

mapreducepatterns saves you 2207 person hours of effort in developing the same functionality from scratch.

It has 4830 lines of code, 278 functions and 41 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

mapreducepatterns Reuse

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mapreducepatterns Reuse

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Top functions reviewed by kandi - BETA

kandi has reviewed mapreducepatterns and discovered the below as its top functions. This is intended to give you an instant insight into mapreducepatterns implemented functionality, and help decide if they suit your requirements.

Submit parallel jobs

Submit a parallel job

Main entry point

Demonstrates how to delete bloom filtering

Run a DistributedGrep

Demonstrates how to submit a DistinctUserCount

The main method for testing

Main entry point for testing

Runs the average driver

Runs a job

Entry point to the JobChaining driver

Command - line tool

Runs a Bloom filtering algorithm

Main command line entry point

Test program

Entry point for the Replicated join driver

Entry point for the join

Entry point for the composite join driver

Main method

Creates a new bloom filter

Main command line

Get all kandi verified functions for this library.

mapreducepatterns Key Features

Repository for MapReduce Design Patterns (O'Reilly 2012) example source code

mapreducepatterns Examples and Code Snippets

No Code Snippets are available at this moment for mapreducepatterns.

Community Discussions

Trending Discussions on mapreducepatterns

How does RecordReader send data to mapper in Hadoop

Trending Discussions on mapreducepatterns

How does RecordReader send data to mapper in Hadoop

QUESTION

How does RecordReader send data to mapper in Hadoop

Asked 2018-Dec-04 at 11:04

I'm new to Hadoop and currently I'm learning mapreduce design pattern from Donald Miner & Adam Shook MapReduce Design Pattern book. So in this book there is Cartesian Product Pattern. My question is:

When does record reader send data to mapper?
Where is the code that send the data to mapper?

What I see is next function in CartesianRecordReader class read both split without sending the data.

Here is the source code https://github.com/adamjshook/mapreducepatterns/blob/master/MRDP/src/main/java/mrdp/ch5/CartesianProduct.java

That's all, thanks in advance :)

ANSWER

Answered 2018-Dec-04 at 07:27

When does record reader send data to mapper?

Let me answer by giving you an idea how how the mapper and the RecordReader are related. This is the Hadoop code that sends data to the mapper. 1

  RecordReader input;

  K1 key = input.createKey();
  V1 value = input.createValue();

  while (input.next(key, value)) {
    // map pair to output
    mapper.map(key, value, output, reporter);
    if(incrProcCount) {
      reporter.incrCounter(SkipBadRecords.COUNTER_GROUP, 
          SkipBadRecords.COUNTER_MAP_PROCESSED_RECORDS, 1);
    }
  }

Basically, the Hadoop will call next until it returns false, and at every call key and value will obtain new values. Key being normally the bytes read so far and value the next line in the file.

Where is the code that send the data to mapper?

That code is at the source code of hadoop (Probably at the MapContextImpl class) but it resembles what I have wrote in the code snippet.

EDIT : The source code is at MapRunner.

Source https://stackoverflow.com/questions/53364195

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install mapreducepatterns

You can download it from GitHub.
You can use mapreducepatterns like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the mapreducepatterns component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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