Spark SQL and Streaming - How to execute JDBC Query only once

[Ashish Soni <as...@gmail.com>]

Hi All  ,

I have and Stream of Event coming in and i want to fetch some additional
data from the database based on the values in the incoming data , For Eg
below is the data coming in

loginName
Email
address
city

Now for each login name i need to go to oracle database and get the userId
from the database *but i do not want to hit the database again and again
instead i want to load the complete table in memory and then find the user
id based on the incoming data*

JavaRDD<Charge> rdd = sc.textFile("/home/spark/workspace/data.csv").map(new
Function<String, String>() {
            @Override
            public Charge call(String s) {
                String str[] = s.split(",");
*                //How to load the complete table in memory and use it as
when i do outside the loop i get stage failure error *
*                   DataFrame dbRdd =
sqlContext.read().format("jdbc").options(options).load();*

System.out.println(dbRdd.filter("ogin_nm='"+str[0]+"'").count());

              return str[0]            ;
            }
        });


How i can achieve this , Please suggest

Thanks

Re: Spark SQL and Streaming - How to execute JDBC Query only once

[Raghavendra Pandey <ra...@gmail.com>]

This will not work i.e. using data frame inside map function..
Although you can try to create df separately n cache it...
Then you can join your event stream with this df.
On Jul 2, 2015 6:11 PM, "Ashish Soni" <as...@gmail.com> wrote:

> Hi All  ,
>
> I have and Stream of Event coming in and i want to fetch some additional
> data from the database based on the values in the incoming data , For Eg
> below is the data coming in
>
> loginName
> Email
> address
> city
>
> Now for each login name i need to go to oracle database and get the userId
> from the database *but i do not want to hit the database again and again
> instead i want to load the complete table in memory and then find the user
> id based on the incoming data*
>
> JavaRDD<Charge> rdd =
> sc.textFile("/home/spark/workspace/data.csv").map(new Function<String,
> String>() {
>             @Override
>             public Charge call(String s) {
>                 String str[] = s.split(",");
> *                //How to load the complete table in memory and use it as
> when i do outside the loop i get stage failure error *
> *                   DataFrame dbRdd =
> sqlContext.read().format("jdbc").options(options).load();*
>
> System.out.println(dbRdd.filter("ogin_nm='"+str[0]+"'").count());
>
>               return str[0]            ;
>             }
>         });
>
>
> How i can achieve this , Please suggest
>
> Thanks
>