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Posted to issues@commons.apache.org by "Gary Gregory (JIRA)" <ji...@apache.org> on 2018/05/21 23:21:00 UTC
[jira] [Comment Edited] (IO-577) Add readers to filter out given
characters
[ https://issues.apache.org/jira/browse/IO-577?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16483193#comment-16483193 ]
Gary Gregory edited comment on IO-577 at 5/21/18 11:20 PM:
-----------------------------------------------------------
Thank you all for the review.
[~kinow]:
{quote}
In CharacterSetFilterReader, maybe remove private static final HashSet<Integer> EMPTY_SET = new HashSet<>(0); ? And perhaps use Collections.emptySet() ?
{quote}
Yes, good catch.
{quote}
Also in CharacterSetFilterReader, I think it could be dangerous just using the collection provided by the user. Maybe create a new field using Collections.unmodifiableSet(originalSet) ?
{quote}
Yes, good catch.
[~sebb@apache.org]:
Yes, this solution is broader but simpler for the case of CSV-222 IMO. I like it because it does not make the CSV lexer more complex.
was (Author: garydgregory):
Thank you all for the review.
[~kinow]:
{quote}
In CharacterSetFilterReader, maybe remove private static final HashSet<Integer> EMPTY_SET = new HashSet<>(0); ? And perhaps use Collections.emptySet() ?
{quote}
Yes, good catch.
{quote}
Also in CharacterSetFilterReader, I think it could be dangerous just using the collection provided by the user. Maybe create a new field using Collections.unmodifiableSet(originalSet) ?
{quote}
Yes, good catch.
[~sebb@apache.org]:
Yes, this solution is broader but simpler for the case of CSV-222. I like it because it does not make the CSV lexer more complex.
> Add readers to filter out given characters
> ------------------------------------------
>
> Key: IO-577
> URL: https://issues.apache.org/jira/browse/IO-577
> Project: Commons IO
> Issue Type: New Feature
> Components: Filters
> Reporter: Gary Gregory
> Priority: Major
> Attachments: commons-io-577.patch
>
>
> Add readers to filter out given characters, handy to remove known junk characters from CSV files for example. Please see attached.
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