How do you manage the spark context elastically when your load grows from 1000 users to 10000 users ?
On Tue, Jul 14, 2015 at 8:31 AM, Hafsa Asif <hafsa.a...@matchinguu.com> wrote: > I have almost the same case. I will tell you what I am actually doing, if > it > is according to your requirement, then I will love to help you. > > 1. my database is aerospike. I get data from it. > 2. written standalone spark app (it does not run in standalone mode, but > with simple java command or maven command), even I make its JAR file with > simple java command and it runs spark without interactive shell. > 3. Write different methods based on different queries in standalone spark > app. > 4. my restful API is based on NodeJS, user sends his request through > NodeJS, > request pass to my simple java maven project, execute particular spark > method based on query, returns result to NodeJS in JSON format. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Spark-application-with-a-RESTful-API-tp23654p23831.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 > >
