Hi Ted thanks if I dont pass lit function then how can I tell
percentile_approx function to give me 25% or 50% like we do in Hive
percentile_approx(mycol,0.25).
Regards
On Mon, Oct 12, 2015 at 7:20 PM, Ted Yu <yuzhih...@gmail.com> wrote:
> Umesh:
> Have you tried calling callUdf without the lit() parameter ?
>
> Cheers
>
> On Mon, Oct 12, 2015 at 6:27 AM, Umesh Kacha <umesh.ka...@gmail.com>
> wrote:
>
>> Hi if you can help it would be great as I am stuck don't know how to
>> remove compilation error in callUdf when we pass three parameters function
>> name string column name as col and lit function please guide
>> On Oct 11, 2015 1:05 AM, "Umesh Kacha" <umesh.ka...@gmail.com> wrote:
>>
>>> Hi any idea? how do I call percentlie_approx using callUdf() please
>>> guide.
>>>
>>> On Sat, Oct 10, 2015 at 1:39 AM, Umesh Kacha <umesh.ka...@gmail.com>
>>> wrote:
>>>
>>>> I have a doubt Michael I tried to use callUDF in the following code it
>>>> does not work.
>>>>
>>>> sourceFrame.agg(callUdf("percentile_approx",col("myCol"),lit(0.25)))
>>>>
>>>> Above code does not compile because callUdf() takes only two arguments
>>>> function name in String and Column class type. Please guide.
>>>>
>>>> On Sat, Oct 10, 2015 at 1:29 AM, Umesh Kacha <umesh.ka...@gmail.com>
>>>> wrote:
>>>>
>>>>> thanks much Michael let me try.
>>>>>
>>>>> On Sat, Oct 10, 2015 at 1:20 AM, Michael Armbrust <
>>>>> mich...@databricks.com> wrote:
>>>>>
>>>>>> This is confusing because I made a typo...
>>>>>>
>>>>>> callUDF("percentile_approx", col("mycol"), lit(0.25))
>>>>>>
>>>>>> The first argument is the name of the UDF, all other arguments need
>>>>>> to be columns that are passed in as arguments. lit is just saying to
>>>>>> make
>>>>>> a literal column that always has the value 0.25.
>>>>>>
>>>>>> On Fri, Oct 9, 2015 at 12:16 PM, <saif.a.ell...@wellsfargo.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Yes but I mean, this is rather curious. How is def lit(literal:Any)
>>>>>>> --> becomes a percentile function lit(25)
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> Thanks for clarification
>>>>>>>
>>>>>>> Saif
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> *From:* Umesh Kacha [mailto:umesh.ka...@gmail.com]
>>>>>>> *Sent:* Friday, October 09, 2015 4:10 PM
>>>>>>> *To:* Ellafi, Saif A.
>>>>>>> *Cc:* Michael Armbrust; user
>>>>>>>
>>>>>>> *Subject:* Re: How to calculate percentile of a column of DataFrame?
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> I found it in 1.3 documentation lit says something else not percent
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> public static Column
>>>>>>> <https://spark.apache.org/docs/1.3.1/api/java/org/apache/spark/sql/Column.html>
>>>>>>> lit(Object literal)
>>>>>>>
>>>>>>> Creates a Column
>>>>>>> <https://spark.apache.org/docs/1.3.1/api/java/org/apache/spark/sql/Column.html>
>>>>>>> of
>>>>>>> literal value.
>>>>>>>
>>>>>>> The passed in object is returned directly if it is already a Column
>>>>>>> <https://spark.apache.org/docs/1.3.1/api/java/org/apache/spark/sql/Column.html>.
>>>>>>> If the object is a Scala Symbol, it is converted into a Column
>>>>>>> <https://spark.apache.org/docs/1.3.1/api/java/org/apache/spark/sql/Column.html>
>>>>>>> also.
>>>>>>> Otherwise, a new Column
>>>>>>> <https://spark.apache.org/docs/1.3.1/api/java/org/apache/spark/sql/Column.html>
>>>>>>> is
>>>>>>> created to represent the literal value.
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Sat, Oct 10, 2015 at 12:39 AM, <saif.a.ell...@wellsfargo.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>> Where can we find other available functions such as lit() ? I can’t
>>>>>>> find lit in the api.
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> Thanks
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> *From:* Michael Armbrust [mailto:mich...@databricks.com]
>>>>>>> *Sent:* Friday, October 09, 2015 4:04 PM
>>>>>>> *To:* unk1102
>>>>>>> *Cc:* user
>>>>>>> *Subject:* Re: How to calculate percentile of a column of DataFrame?
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> You can use callUDF(col("mycol"), lit(0.25)) to call hive UDFs from
>>>>>>> dataframes.
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Fri, Oct 9, 2015 at 12:01 PM, unk1102 <umesh.ka...@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>> Hi how to calculate percentile of a column in a DataFrame? I cant
>>>>>>> find any
>>>>>>> percentile_approx function in Spark aggregation functions. For e.g.
>>>>>>> in Hive
>>>>>>> we have percentile_approx and we can use it in the following way
>>>>>>>
>>>>>>> hiveContext.sql("select percentile_approx("mycol",0.25) from
>>>>>>> myTable);
>>>>>>>
>>>>>>> I can see ntile function but not sure how it is gonna give results
>>>>>>> same as
>>>>>>> above query please guide.
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> View this message in context:
>>>>>>> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-calculate-percentile-of-a-column-of-DataFrame-tp25000.html
>>>>>>> Sent from the Apache Spark User List mailing list archive at
>>>>>>> Nabble.com.
>>>>>>>
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>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>
