csv-to-mysql | fastest way to import a large CSV file | CSV Processing library
kandi X-RAY | csv-to-mysql Summary
kandi X-RAY | csv-to-mysql Summary
The fastest way to import a large CSV file into a MySQL table.
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QUESTION
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 17:37The 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
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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.
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Install csv-to-mysql
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.
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