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.
>
>
>
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