I personally try to steer people away from multi-line input formats b/c of
how tedious they are to write/maintain. To me, the question of supporting
CSVs maps to a more general question about whether we should support some
kind of named Record/Row type for processing data from
CSV/Hive/Avro/PB/Thrift/etc. in a generic way. I could make arguments
either way, which I'm happy to do if folks are interested, but I'd rather
hear from other people first, esp. if anyone feels strongly about it.

J


On Mon, Mar 18, 2013 at 3:14 AM, Christian Tzolov <
christian.tzo...@gmail.com> wrote:

> Hi,
>
> I am working on ETL projects that consume and produce data in the RFC4180
> [1] CSV format. Although unreliable IMO, this RFC is used as an exchange
> format by several Dutch government agencies.
>
> The RFC4180 spec supports multi-line fields (e.g. fields with line
> breaks) and escaping of double quotes and delimiters within fields. Because
> of the multi-line feature one can't use directly the
> FileInputFormat/TextInputFormat or LineRecordReader implementations.
> Furthermore as I see it the input splitting must be disabled (not sure if
> any efficient splitting strategy is possible at all).
>
> There are several java libraries that provide some RFC4180 support [3]. For
> Pig a slightly modified CSVExcelStorage UDF [2] seems to do the job (not
> sure about the input splitting though). Also the "Hadoop in Practice"
> example [4] does not support the multi-line fields.
>
> Has someone used similar 'multi-line fields' formats? I wonder how common
> is this use case.
>
> Also shall we provide support for it in Crunch?
>
> Cheers,
> Chris
>
> [1]  RFC 4180 - http://tools.ietf.org/html/rfc4180
> [2]  PIG CVSExcelStorage UDF -
>
> http://svn.apache.org/repos/asf/pig/trunk/contrib/piggybank/java/src/main/java/org/apache/pig/piggybank/storage/CSVExcelStorage.java
> [3]  jCSV, OpenCSV, SuperCSV
> [4]
>
> https://github.com/alexholmes/hadoop-book/blob/master/src/main/java/com/manning/hip/ch3/csv/CSVInputFormat.java
>



-- 
Director of Data Science
Cloudera <http://www.cloudera.com>
Twitter: @josh_wills <http://twitter.com/josh_wills>

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