Hi,
I'm new to Spark and need some architecture tips :-) I need a way to connect the mobile app with the Spark backend to upload data to and download data from the Spark backend. The use case is that the user do something with the app. This changes are uploaded to the backend. Spark calculates something. If the user uses the app again it download the new calculated data. My plan is that the mobile app talks with a Jersey-Tomcat server and this Jersey-Tomcat server loads the data into Spark and starts the jobs. But what is the best way to upload the data to Spark and to start the job? Currently Jersey, Tomcat and Spark are on the same machine. I found this spark-jobserver[1] but I'm not sure if it is the right choise. The mobile app uploads a JSON. Jersey converts it into POJOs to do something with it. And than it converts it to JSON again to load it into Spark witch converts it to POJOs. I thought also about Spark streaming. But this means that this streaming stuff runs 24/7? [1] ... https://github.com/spark-jobserver/spark-jobserver -- Ralph Bergmann www http://www.dasralph.de | http://www.the4thFloor.eu mail ra...@dasralph.de skype dasralph facebook https://www.facebook.com/dasralph google+ https://plus.google.com/+RalphBergmann xing https://www.xing.com/profile/Ralph_Bergmann3 linkedin https://www.linkedin.com/in/ralphbergmann gulp https://www.gulp.de/Profil/RalphBergmann.html github https://github.com/the4thfloor pgp key id 0x421F9B78 pgp fingerprint CEE3 7AE9 07BE 98DF CD5A E69C F131 4A8E 421F 9B78 --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
