mapreducepatterns | MapReduce Design Patterns | Architecture library

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

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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                        summary
                        mapreducepatterns has a low active ecosystem.
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                        It has 213 star(s) with 193 fork(s). There are 46 watchers for this library.
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                        It had no major release in the last 12 months.
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                        There are 2 open issues and 1 have been closed. On average issues are closed in 164 days. There are no pull requests.
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                        It has a neutral sentiment in the developer community.
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                        The latest version of mapreducepatterns is v1.0.0
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                                  kandi-Quality Quality

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                                    mapreducepatterns has 0 bugs and 0 code smells.
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                                                mapreducepatterns has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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                                                mapreducepatterns code analysis shows 0 unresolved vulnerabilities.
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                                                There are 0 security hotspots that need review.
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                                                            mapreducepatterns does not have a standard license declared.
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                                                            Check the repository for any license declaration and review the terms closely.
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                                                            Without a license, all rights are reserved, and you cannot use the library in your applications.
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                                                                        mapreducepatterns releases are available to install and integrate.
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                                                                        mapreducepatterns has no build file. You will be need to create the build yourself to build the component from source.
                                                                        summary
                                                                        mapreducepatterns saves you 2207 person hours of effort in developing the same functionality from scratch.
                                                                        summary
                                                                        It has 4830 lines of code, 278 functions and 41 files.
                                                                        summary
                                                                        It has low code complexity. Code complexity directly impacts maintainability of the code.
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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
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                                                                                  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
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                                                                                  Trending Discussions on mapreducepatterns

                                                                                  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:

                                                                                  1. When does record reader send data to mapper?
                                                                                  2. 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 .

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                                                                                  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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