Hi,

I tried load spark-csv package using %dep.
Here's link to how i did
https://www.zeppelinhub.com/#/notebook/zeppelin/2AR3N4YT3 .
Let me know if it works.

Thanks,
moon

On Tue, Jun 23, 2015 at 8:41 PM George Koshy <gkos...@gmail.com> wrote:

> Yes Alex,
> sc.version tells me String = 1.3.1
> So it is 1.3 and I used the 1.3 syntax from spark-csv website then there
> is a class not found error.
>
> NoClassDefFoundError: org/apache/commons/csv/CSVFormat
>
> I guess the spark-csv packages are not loading properly.
>
> I used %dep z.load("com.databricks:spark-csv_2.10:1.0.3")
> %dep z.load("/Users/george/Downloads/spark-csv_2.11-1.0.3.jar")
> alternatively and none of them worked. I also put the jar path in
> ZEPPELIN_JAVA_OPTS environment variable in zeppelin-env.sh
>
>
> On Tue, Jun 23, 2015 at 8:32 PM, Alexander Bezzubov <abezzu...@nflabs.com>
> wrote:
>
>> Hi George,
>>
>> does spark version that you use on the cluster matches the one zeppelin
>> is build with
>> <http://zeppelin.incubator.apache.org/docs/install/install.html>?
>> API that you use was introduced only in spark 1.4 and it is not the default
>> version yet <https://github.com/apache/incubator-zeppelin/pull/99>
>>
>> You can check by running simple scala paragraph with `sc.version`
>>
>> --
>> Alex
>>
>> On Wed, Jun 24, 2015 at 11:51 AM, George Koshy <gkos...@gmail.com> wrote:
>>
>>> Please help,
>>> I get this error
>>> error: value read is not a member of org.apache.spark.sql.SQLContext
>>> val df =
>>> sqlContext.read.format("com.databricks.spark.csv").option("header",
>>> "true").load("filename.csv")
>>>
>>>
>>> My code is as follows:
>>> import org.apache.spark.SparkContext
>>>
>>> %dep
>>> com.databricks:spark-csv_2.11:1.0.3
>>>
>>> import org.apache.spark.sql.SQLContext val sqlContext = new
>>> SQLContext(sc) val df =
>>> sqlContext.read.format("com.databricks.spark.csv").option("header",
>>> "true").load("fileName.csv")
>>>
>>> --
>>> Sincerely!
>>> George Koshy,
>>> Richardson,
>>> in.linkedin.com/in/gkoshyk/
>>>
>>
>>
>>
>> --
>> --
>> Kind regards,
>> Alexander.
>>
>>
>
>
> --
> Sincerely!
> George Koshy,
> Richardson,
> in.linkedin.com/in/gkoshyk/
>

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