A little bit about how to read this output. Resolution occurs from the
bottom up and when you see a tick (') it means that a field is unresolved.
So here it looks like Year_2011_Month_0_Week_0_Site is missing from from
your RDD. (We are working on more obvious error messages).
Michael
On Tue, D
ok I am answering my question here. looks like name has a reserved key word
or some special treatment. unless you use alias, it doesn't work. so use an
alias always with name attribute.
select a.name from xxx a where a. = 'y' // RIGHT
select name from where t ='yy' // doesn't work
I think this problem has been fixed after the 1.1 release. Can you try the
master branch?
On Mon, Sep 29, 2014 at 10:06 PM, vdiwakar.malladi <
vdiwakar.mall...@gmail.com> wrote:
> I'm using the latest version i.e. Spark 1.1.0
>
> Thanks.
>
>
>
> --
> View this message in context:
> http://apache-
I'm using the latest version i.e. Spark 1.1.0
Thanks.
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Unresolved-attributes-SparkSQL-on-the-schemaRDD-tp15339p15376.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
--
Sorry. Not that, this one
http://arjon.es/2014/07/01/processing-json-with-spark-sql/
Thanks
Best Regards
On Tue, Sep 30, 2014 at 1:43 AM, Akhil Das
wrote:
> This one explains it nicely
> http://www.dofactory.com/topic/1816/spark-performing-a-join-and-getting-results-back-in-a-strongly-typed-col
This one explains it nicely
http://www.dofactory.com/topic/1816/spark-performing-a-join-and-getting-results-back-in-a-strongly-typed-collection.aspx
Thanks
Best Regards
On Tue, Sep 30, 2014 at 12:57 AM, Yin Huai wrote:
> What version of Spark did you use? Can you try the master branch?
>
> On M
What version of Spark did you use? Can you try the master branch?
On Mon, Sep 29, 2014 at 1:52 PM, vdiwakar.malladi <
vdiwakar.mall...@gmail.com> wrote:
> Thanks for your prompt response.
>
> Still on further note, I'm getting the exception while executing the query.
>
> "SELECT data[0].name FROM
Thanks for your prompt response.
Still on further note, I'm getting the exception while executing the query.
"SELECT data[0].name FROM people where data[0].age >=13"
*Exception in thread "main" java.lang.RuntimeException: [1.46] failure:
``UNION'' expected but identifier .age found
SELECT data[
In your case, the table has only one row, whose contents is “data”,
which is an array. You need something like |SELECT data[0].name FROM
json_table| to access the |name| field.
On 9/29/14 11:08 PM, vdiwakar.malladi wrote:
Hello,
I'm exploring SparkSQL and I'm facing issue while using the que
