AnalyzerBeans | An extensible and high-performance data processing engine | Game Engine library

 by   datacleaner Java Version: 1.0.6 License: LGPL-3.0

kandi X-RAY | AnalyzerBeans Summary

kandi X-RAY | AnalyzerBeans Summary

AnalyzerBeans is a Java library typically used in Gaming, Game Engine applications. AnalyzerBeans has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub, Maven.

An extensible and high-performance data processing engine. Please visit DataCleaner here:
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              AnalyzerBeans has a low active ecosystem.
              It has 9 star(s) with 8 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 13 open issues and 38 have been closed. On average issues are closed in 18 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of AnalyzerBeans is 1.0.6

            kandi-Quality Quality

              AnalyzerBeans has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              AnalyzerBeans is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              AnalyzerBeans releases are not available. You will need to build from source code and install.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed AnalyzerBeans and discovered the below as its top functions. This is intended to give you an instant insight into AnalyzerBeans implemented functionality, and help decide if they suit your requirements.
            • Gets the results of the analysis
            • Puts the given value into the crosstab
            • Attach a result producer
            • Convert object to string
            • Iterate through the columns and store the results
            • Called when an error occurs
            • Executes the given buffer and returns the result
            • Called when an error occurs
            • This method is called when a batch is flushed
            • Extracts the columns from the input row
            • Converts a string to a type
            • Processes the mock input row
            • Render the analyzer result
            • Initialize the crosstab
            • Gets the result
            • Get the query based on the range filter category
            • Creates and returns the summary dimensions
            • Retrieves the value of the specified parameter
            • Gets the summary results
            • Returns all rows with the given annotation
            • Initializes the transformer
            • Convert string to object
            • Returns a collection of all the values that can be reduced by the given preferred frequency
            • Returns the HTML representation of the table
            • Runs a distributed job
            • Creates a map of unicode sets
            • Extracts the consumer consumers
            Get all kandi verified functions for this library.

            AnalyzerBeans Key Features

            No Key Features are available at this moment for AnalyzerBeans.

            AnalyzerBeans Examples and Code Snippets

            No Code Snippets are available at this moment for AnalyzerBeans.

            Community Discussions

            Trending Discussions on AnalyzerBeans

            QUESTION

            Spark collect() network failure
            Asked 2018-Jun-05 at 04:10

            I am just starting up with Spark. I am trying to use it to implement distributed processing for a deduplication application. The part i am working on now is supposed to get a RDD list of Pair which are the columns of the records. This process should be highly parallelisable but currently i am just working on local. When debuging everything seems to work as expected in the map function, when the collect tries to execute though everything breaks :( and i have no idea why, its not even running on a cluster. This is the part of the code let me know if you need to see more:

            ...

            ANSWER

            Answered 2018-Jun-05 at 04:10

            This is due to netty dependency conflicts. Check the dependency tree of your project and use the one that spark needs

            Source https://stackoverflow.com/questions/49303113

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

            Vulnerabilities

            No vulnerabilities reported

            Install AnalyzerBeans

            You can download it from GitHub, Maven.
            You can use AnalyzerBeans 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 AnalyzerBeans 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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          • HTTPS

            https://github.com/datacleaner/AnalyzerBeans.git

          • CLI

            gh repo clone datacleaner/AnalyzerBeans

          • sshUrl

            git@github.com:datacleaner/AnalyzerBeans.git

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