csv-to-mysql | fastest way to import a large CSV file | CSV Processing library

 by   jonseg PHP Version: Current License: MIT

kandi X-RAY | csv-to-mysql Summary

kandi X-RAY | csv-to-mysql Summary

csv-to-mysql is a PHP library typically used in Utilities, CSV Processing applications. csv-to-mysql has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The fastest way to import a large CSV file into a MySQL table.
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            kandi-support Support

              csv-to-mysql has a low active ecosystem.
              It has 5 star(s) with 2 fork(s). There are 3 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. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of csv-to-mysql is current.

            kandi-Quality Quality

              csv-to-mysql has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              csv-to-mysql 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

              csv-to-mysql releases are not available. You will need to build from source code and install.
              It has 16 lines of code, 0 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            csv-to-mysql Key Features

            No Key Features are available at this moment for csv-to-mysql.

            csv-to-mysql Examples and Code Snippets

            No Code Snippets are available at this moment for csv-to-mysql.

            Community Discussions

            QUESTION

            Sqoop export to MySQL export job failed tool.ExportTool but got records
            Asked 2017-Apr-10 at 17:37

            This is a follow-up question from

            sqoop export local csv to MySQL error on mapreduce

            I was able to run the sqoop job and got the data into MySQL from local .csv file using below command:

            ...

            ANSWER

            Answered 2017-Apr-10 at 17:37

            The error is due to the CSV header in the file. Sqoop does not have any options to ignore the header while exporting data into MySQL. You would have to manually remove the header before performing sqoop-export.

            Any idea or should I just ignore?

            Since this is only one line, the mapper processing the split containing the header would throw exceptions but they are not potential enough to KILL the job. Between who likes to see an exception in the Job execution log.

            Source https://stackoverflow.com/questions/43328725

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

            Vulnerabilities

            No vulnerabilities reported

            Install csv-to-mysql

            You can download it from GitHub.
            PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.

            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/jonseg/csv-to-mysql.git

          • CLI

            gh repo clone jonseg/csv-to-mysql

          • sshUrl

            git@github.com:jonseg/csv-to-mysql.git

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