Hi Divya, That's the right way to access a value for a key in a broadcast map. I'm pretty sure tough that you could do the same (or similar) with higher-level broadcast Datasets. Try it out!
Pozdrawiam, Jacek Laskowski ---- https://medium.com/@jaceklaskowski/ Mastering Apache Spark http://bit.ly/mastering-apache-spark Follow me at https://twitter.com/jaceklaskowski On Tue, Jul 19, 2016 at 4:31 AM, Divya Gehlot <divya.htco...@gmail.com> wrote: > Hi Jacek, > > Can you please share example how can I access broacasted map > val pltStnMapBrdcst = sc.broadcast(keyvalueMap ) > val df_replacekeys = > df_input.withColumn("map_values",pltStnMapBrdcst.value.get("key")))) > > Is the above the right way to access the broadcasted map ? > > > > Thanks, > Divya > > > On 18 July 2016 at 23:06, Jacek Laskowski <ja...@japila.pl> wrote: >> >> See broadcast variable. >> >> Or (just a thought) do join between DataFrames. >> >> Jacek >> >> >> On 18 Jul 2016 9:24 a.m., "Divya Gehlot" <divya.htco...@gmail.com> wrote: >>> >>> Hi, >>> >>> I have created a map by reading a text file >>> val keyValueMap = file_read.map(t => t.getString(0) -> >>> t.getString(4)).collect().toMap >>> >>> Now I have another dataframe where I need to dynamically replace all the >>> keys of Map with values >>> val df_input = reading the file as dataframe >>> val df_replacekeys = df_input.withColumn("map_values",lit(keyValueMap >>> (col("key")))) >>> >>> Would really appreciate the help . >>> >>> >>> Thanks, >>> Divya >>> >>> > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
