LearningSpark | Scala examples for learning to use Spark

 by   spirom Scala Version: Current License: MIT

kandi X-RAY | LearningSpark Summary

kandi X-RAY | LearningSpark Summary

LearningSpark is a Scala library typically used in Big Data, Spark, Hadoop applications. LearningSpark has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Scala examples for learning to use Spark
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              LearningSpark has a low active ecosystem.
              It has 425 star(s) with 292 fork(s). There are 57 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 85 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of LearningSpark is current.

            kandi-Quality Quality

              LearningSpark has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              LearningSpark releases are not available. You will need to build from source code and install.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of LearningSpark
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            LearningSpark Key Features

            No Key Features are available at this moment for LearningSpark.

            LearningSpark Examples and Code Snippets

            No Code Snippets are available at this moment for LearningSpark.

            Community Discussions

            QUESTION

            Java Spark - Issue in filtering records in RDD based on number of columns
            Asked 2020-May-07 at 22:02

            This is a different issue, i am trying to filter the records in RDD based on the number of columns. This is more like a File processing.

            I have written the same in Pyspark and i see the records are filtering properly. When i am trying in Java the Valid Records are going to Error Folder.

            Downloaded the Error Files and validated using AWK to find they are having 996 column, but still getting filtered out in the Error.

            In python the exact number of Files filtered are error files.

            Below is the piece of Snippet.

            ...

            ANSWER

            Answered 2020-May-07 at 22:02

            The issue is with the Split command which i was using. Issue :- When the last column in empty , Java split is not able to consider it as a column. I had referred the following site, which talks about the Split issue

            Java String split removed empty values

            Old Snippet :

            Source https://stackoverflow.com/questions/61649626

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

            Vulnerabilities

            No vulnerabilities reported

            Install LearningSpark

            You can download it from GitHub.

            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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            CLONE
          • HTTPS

            https://github.com/spirom/LearningSpark.git

          • CLI

            gh repo clone spirom/LearningSpark

          • sshUrl

            git@github.com:spirom/LearningSpark.git

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