datafabric | memory fabric based on shared-memory blocks

 by   blaze Python Version: Current License: BSD-3-Clause

kandi X-RAY | datafabric Summary

kandi X-RAY | datafabric Summary

datafabric is a Python library. datafabric has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A distributed in-memory fabric based on shared-memory blocks and datashape. Any language can operate on the data.
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            kandi-support Support

              datafabric has a low active ecosystem.
              It has 13 star(s) with 3 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 886 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of datafabric is current.

            kandi-Quality Quality

              datafabric has 0 bugs and 0 code smells.

            kandi-Security Security

              datafabric has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              datafabric code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              datafabric is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              datafabric releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              It has 177 lines of code, 19 functions and 5 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed datafabric and discovered the below as its top functions. This is intended to give you an instant insight into datafabric implemented functionality, and help decide if they suit your requirements.
            • Allocate blocks of the given names .
            • Find a variable with the given name .
            • Clear all shared blocks .
            • Insert a variable into the block .
            • Return a list of all blocks
            • Run tests .
            Get all kandi verified functions for this library.

            datafabric Key Features

            No Key Features are available at this moment for datafabric.

            datafabric Examples and Code Snippets

            No Code Snippets are available at this moment for datafabric.

            Community Discussions

            Trending Discussions on datafabric

            QUESTION

            How to get default configuration properties in MapR
            Asked 2021-Mar-30 at 17:45

            I'm trying to find the default properties from the MapR Hadoop. From the HPE website (MapR is now owned by the HPE) got to know the configuration files path. But these files show only some specific properties, not all.

            ...

            ANSWER

            Answered 2021-Mar-29 at 15:12

            We can run the following command

            hadoop conf-details

            The command displays the various options to get default and modified properties.

            The output of the command is attached in the image below

            Source https://stackoverflow.com/questions/66856758

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

            Vulnerabilities

            No vulnerabilities reported

            Install datafabric

            You can download it from GitHub.
            You can use datafabric like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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/blaze/datafabric.git

          • CLI

            gh repo clone blaze/datafabric

          • sshUrl

            git@github.com:blaze/datafabric.git

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