MapReduce | Querying IMDB dataset using MapReduce and Hadoop framework

 by   Harshit-modi Java Version: Current License: MIT

kandi X-RAY | MapReduce Summary

kandi X-RAY | MapReduce Summary

MapReduce is a Java library typically used in Big Data, Kafka, Spark, Hadoop applications. MapReduce has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MapReduce build file is not available. You can download it from GitHub.

Querying IMDB dataset using MapReduce and Hadoop framework on a single node cluster.
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              MapReduce has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              MapReduce has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MapReduce is current.

            kandi-Quality Quality

              MapReduce has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              MapReduce is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              MapReduce releases are not available. You will need to build from source code and install.
              MapReduce has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MapReduce and discovered the below as its top functions. This is intended to give you an instant insight into MapReduce implemented functionality, and help decide if they suit your requirements.
            • Main method for testing .
            Get all kandi verified functions for this library.

            MapReduce Key Features

            No Key Features are available at this moment for MapReduce.

            MapReduce Examples and Code Snippets

            No Code Snippets are available at this moment for MapReduce.

            Community Discussions

            QUESTION

            Import org.apache statement cannot be resolved in GCP Shell
            Asked 2021-Jun-10 at 21:48

            I had used the below command in GCP Shell terminal to create a project wordcount

            ...

            ANSWER

            Answered 2021-Jun-10 at 21:48

            I'd suggest finding an archetype for creating MapReduce applications, otherwise, you need to add hadoop-client as a dependency in your pom.xml

            Source https://stackoverflow.com/questions/67916362

            QUESTION

            Map-reduce functional outline
            Asked 2021-Jun-02 at 02:15

            Note: this is more a basic programming question and nothing about the Hadoop or Map/Reduce methods of "big data processing".

            Let's take a sequence (1 2 3 4 5):

            To map it to some function, let's say square, I can do something like:

            ...

            ANSWER

            Answered 2021-Jun-02 at 02:15

            To give you the intuition, we need to step away (briefly) from a concrete implementation in code. MapReduce (and I'm not just talking about a particular implementation) is about the shape of the problem.

            Say we have a linear data structure (list, array, whatever) of xs, and we have a transform function we want to apply to each of them, and we have an aggregation function that can be represented as repeated application of an associative pairwise combination:

            Source https://stackoverflow.com/questions/67795552

            QUESTION

            How to use apache-dolphinscheduler's queue?
            Asked 2021-May-22 at 14:50

            I am confused about the apache-dolphinscheduler's queue, as in user-guide, the queue is used for spark、mapreduce. But I want to use python code product seeds to queue and another python code in workers pull seeds from queue and run tasks. Can you tell me whether dolphinscheduler can handle it or I must use another tools, such as Redis? Thanks.

            ...

            ANSWER

            Answered 2021-May-22 at 14:50

            as what you said, you need to use another tools. the queue designed to choose corresponding queue which exists in hadoop yarn cluster.

            Source https://stackoverflow.com/questions/67604598

            QUESTION

            Weird behaviour in MapReduce, values get overwritten
            Asked 2021-May-20 at 12:08

            I've been trying to implement the TfIdf algorithm using MapReduce in Hadoop. My TFIDF takes place in 4 steps (I call them MR1, MR2, MR3, MR4). Here are my input/outputs:

            MR1: (offset, line) ==(Map)==> (word|file, 1) ==(Reduce)==> (word|file, n)

            MR2: (word|file, n) ==(Map)==> (file, word|n) ==(Reduce)==> (word|file, n|N)

            MR3: (word|file, n|N) ==(Map)==> (word, file|n|N|1) ==(Reduce)==> (word|file, n|N|M)

            MR4: (word|file, n|N|M) ==(Map)==> (word|file, n/N log D/M)

            Where n = number of (word, file) distinct pairs, N = number of words in each file, M = number of documents where each word appear, D = number of documents.

            As of the MR1 phase, I'm getting the correct output, for example: hello|hdfs://..... 2

            For the MR2 phase, I expect: hello|hdfs://....... 2|192 but I'm getting 2|hello|hdfs://...... 192|192

            I'm pretty sure my code is correct, every time I try to add a string to my "value" in the reduce phase to see what's going on, the same string gets "teleported" in the key part.

            Example: gg|word|hdfs://.... gg|192

            Here is my MR1 code:

            ...

            ANSWER

            Answered 2021-May-20 at 12:08

            It's the Combiner's fault. You are specifying in the driver class that you want to use MR2Reducer both as a Combiner and a Reducer in the following commands:

            Source https://stackoverflow.com/questions/67593978

            QUESTION

            ZK hbase replication node grows exponentially though hbase datas properly replication for peers
            Asked 2021-May-17 at 14:27

            In the hbase-1.4.10, I have enabled replication for all tables and configured the peer_id. the list_peers provide the below result:

            ...

            ANSWER

            Answered 2021-May-17 at 14:27

            The above issue has been already filed under the below issue.

            https://issues.apache.org/jira/browse/HBASE-22784

            Upgrading to 1.4.11 fixed the zknode grows exponetially

            Source https://stackoverflow.com/questions/67288458

            QUESTION

            timeout with couchdb mapReduce when database is huge
            Asked 2021-May-13 at 14:18

            Details:

            • Apache CouchDB v. 3.1.1
            • about 5 GB of twitter data have been dumped in partitions

            Map reduce function that I have written:

            ...

            ANSWER

            Answered 2021-May-13 at 14:18

            So, I thought of answering my own question, after realizing my mistake. The answer to this is simple. It just needed more time, as the indexing takes a lot of time. you can see the metadata to see the db data being indexed.

            Source https://stackoverflow.com/questions/67429116

            QUESTION

            Apache Oozie throws ClassNotFoundException (org.apache.hadoop.conf.Configuration) during startup
            Asked 2021-May-09 at 23:25

            I built the Apache Oozie 5.2.1 from the source code in my MacOS and currently having trouble running it. The ClassNotFoundException indicates a missing class org.apache.hadoop.conf.Configuration but it is available in both libext/ and the Hadoop file system.

            I followed the 1st approach given here to copy Hadoop libraries to Oozie binary distro. https://oozie.apache.org/docs/5.2.1/DG_QuickStart.html

            I downloaded Hadoop 2.6.0 distro and copied all the jars to libext before running Oozie in addition to other configs, etc as specified in the following blog.

            https://www.trytechstuff.com/how-to-setup-apache-hadoop-2-6-0-version-single-node-on-ubuntu-mac/

            This is how I installed Hadoop in MacOS. Hadoop 2.6.0 is working fine. http://zhongyaonan.com/hadoop-tutorial/setting-up-hadoop-2-6-on-mac-osx-yosemite.html

            This looks pretty basic issue but could not find why the jar/class in libext is not loaded.

            • OS: MacOS 10.14.6 (Mojave)
            • JAVA: 1.8.0_191
            • Hadoop: 2.6.0 (running in the Mac)
            ...

            ANSWER

            Answered 2021-May-09 at 23:25

            I was able to sort the above issue and few other ClassNotFoundException by copying the following jar files from extlib to lib. Both folder are in oozie_install/oozie-5.2.1.

            • libext/hadoop-common-2.6.0.jar
            • libext/commons-configuration-1.6.jar
            • libext/hadoop-mapreduce-client-core-2.6.0.jar
            • libext/hadoop-hdfs-2.6.0.jar

            While I am not sure how many more jars need to be moved from libext to lib while I try to run an example workflow/job in oozie. This fix brought up Oozie web site at http://localhost:11000/oozie/

            I am also not sure why Oozie doesn't load the libraries in the libext/ folder.

            Source https://stackoverflow.com/questions/67462448

            QUESTION

            How to declare in scala a default param in a method of an implicit class
            Asked 2021-May-07 at 11:16

            In order to use infix notation, I have the following example of scala code.

            ...

            ANSWER

            Answered 2021-May-07 at 11:16

            No, because default arguments are only used if argument list is provided

            Source https://stackoverflow.com/questions/67433214

            QUESTION

            Function is not recognized in map reduce command, mongoDB (javascript)
            Asked 2021-May-06 at 02:43

            I have some problems with a map reduce I tried to do in MongoDB. A function I defined seems to not be visible in the reduce function. This is my code:

            ...

            ANSWER

            Answered 2021-May-06 at 02:43

            The function was defined in the locally running javascript instance, not the server.

            In order for that function to be callable from the server you will need to either predefine it there or include the definition inside the reduce function.

            But don't do that.

            From the reduce function documentation:

            The reduce function should not access the database, even to perform read operations.

            Look at using aggregation with a $lookup stage instead.

            Source https://stackoverflow.com/questions/67410169

            QUESTION

            spark submit java.lang.IllegalArgumentException: Can not create a Path from an empty string
            Asked 2021-May-04 at 06:03

            i am getting this error when i do spark submit. java.lang.IllegalArgumentException: Can not create a Path from an empty string i am using spark version 2.4.7 hadoop version 3.3.0 intellji ide jdk 8 first i was getting class not found error which i solved now i am getting this error Is it because of the dataset or something else. https://www.kaggle.com/datasnaek/youtube-new?select=INvideos.csv link to dataset

            error:

            ...

            ANSWER

            Answered 2021-May-04 at 06:03

            It just seems as output_dir variable contains incorrect path:

            Source https://stackoverflow.com/questions/67377790

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

            Vulnerabilities

            No vulnerabilities reported

            Install MapReduce

            You can download it from GitHub.
            You can use MapReduce 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 MapReduce 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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