I can't reproduce, so I must have done something wrong the first time,
thank you for replying.

Is there away to select from a csv directory with extract header for only
that query or table?  (Options?)



On Wed, Dec 2, 2015 at 11:56 AM, Abdel Hakim Deneche <[email protected]>
wrote:

> Hey John,
>
> What do you get when you run "select * from sys.version" ?
>
> extractHeader is false by default, so you need to explicitly set it to
> true.
>
> can you post your storage plugin configuration ?
>
> Thanks
>
> On Tue, Dec 1, 2015 at 6:04 AM, John Omernik <[email protected]> wrote:
>
> > Hey all,
> >
> > Per my comment on https://issues.apache.org/jira/browse/DRILL-4145,  I
> am
> > curious on why a CSV query (I am assuming with a default configuration,
> but
> > I have asked the question) in S3 would interpret differently than a CSV
> > query in MaprFS.
> >
> > Per the other user, they are using Drill 1.3, and I am as well (per the
> > MapR folks, I am using a Dev release version from MapR that has the
> Office
> > 1.3 release code base)
> >
> > Basically, The query from the JIRA author showed the CSV file being
> > interpreted, i.e. the "FIELD_1", "FIELD_2" etc were the headers and the
> > results broken out into columns. When I did this on the same data, I got
> > one results, columns and an array of data.
> >
> > I tried setting extractHeader: true (what is the default on this setting)
> > and that had no effect. (After I update a storage plugin, what do I need
> to
> > do to ensure I see the effect in my SQL line session? DO I need to
> > reconnect?  Basically I set the storage plugin, got the "success" then
> > changed to a difference schema and then back to my original schema and
> saw
> > no effect... should I reconnect or is that not needed?)
> >
> > Just curious on why we'd see different ways to read CSV files, the S3 vs.
> > MapRFS shouldn't be different... or am I missing something?
> >
> > Thanks!
> >
> > John
> >
>
>
>
> --
>
> Abdelhakim Deneche
>
> Software Engineer
>
>   <http://www.mapr.com/>
>
>
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