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Posted to issues@camel.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2014/11/18 13:40:33 UTC
[jira] [Commented] (CAMEL-8060) Create data formats based on
uniVocity parsers
[ https://issues.apache.org/jira/browse/CAMEL-8060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14216143#comment-14216143 ]
ASF GitHub Bot commented on CAMEL-8060:
---------------------------------------
GitHub user adessaigne opened a pull request:
https://github.com/apache/camel/pull/335
CAMEL-8060 Add data formats based on uniVocity-parsers
There's a library called [uniVocity-parsers](https://github.com/uniVocity/univocity-parsers) that provides implementations for reading and writing CSV files, fixed-width files and TSV files.
It's quite fast according to [this benchmark](https://github.com/uniVocity/csv-parsers-comparison). Obviously it may be biased since they're doing the benchmark, but they're also open enough to provide the source code of the benchmark so anyone can reproduce it.
So it would be nice to have data formats that uses those parsers.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/adessaigne/camel CAMEL-8060
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/camel/pull/335.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #335
----
commit d375e7893c8ff76a56417e10f495fa524068d56d
Author: Antoine DESSAIGNE <an...@gmail.com>
Date: 2014-11-18T12:38:13Z
CAMEL-8060 Add data formats based on uniVocity-parsers
----
> Create data formats based on uniVocity parsers
> ----------------------------------------------
>
> Key: CAMEL-8060
> URL: https://issues.apache.org/jira/browse/CAMEL-8060
> Project: Camel
> Issue Type: New Feature
> Affects Versions: 2.14.0
> Reporter: Antoine DESSAIGNE
> Labels: dataformat
>
> There's a library called [uniVocity-parsers|https://github.com/uniVocity/univocity-parsers] that provides implementations for reading and writing CSV files, fixed-width files and TSV files.
> It's quite fast according to [this benchmark|https://github.com/uniVocity/csv-parsers-comparison]. Obviously it may be biased since they're doing the benchmark, but they're also open enough to provide the source code of the benchmark so anyone can reproduce it.
> So it would be nice to have data formats that uses those parsers.
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