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. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > > >
