How big the spark stream window could be? -

-

i have data flows need calculated. thinking use spark stream job. there 1 thing not sure , feel worry about.

my requirements :

data comes in csv files every 5 minutes. need report on data of recent 5 minutes, 1 hour , 1 day. if setup spark stream calculation. need interval 5 minutes. need setup 2 window 1 hour , 1 day.

every 5 minutes there 1gb data comes in. 1 hour window calculate 12gb (60/5) data , 1 day window calculate 288gb(24*60/5) data.

i not have experience on spark. worries me.

  1. can spark handle such big window ?

  2. how ram need calculation 288 gb data? more 288 gb ram? (i know may depend on disk i/o, cpu , calculation pattern. want estimated answer based on experience)

  3. if calculation on 1 day / 1 hour data expensive in stream. have better suggestion?


Comments

Post a Comment

Popular posts from this blog

Django REST Framework perform_create: You cannot call `.save()` after accessing `serializer.data` -

-
i have following viewset: class artistprofileviewset(viewsets.modelviewset): queryset = artistprofile.objects.all() serializer_class = artistprofileserializer def perform_create(self, serializer): if serializer.is_valid(): serializer.save() with following serializers: class simpleartisttrackserializer(serializers.hyperlinkedmodelserializer): class meta: model = artisttrack fields = (...my fields...) class artistprofileserializer(serializers.hyperlinkedmodelserializer): owners = userserializer(many=true, required=false) tracks = simpleartisttrackserializer(many=true, required=false) class meta: model = artistprofile fields = (...my fields...) i getting following error: assertionerror: cannot call `.save()` after accessing `serializer.data`.if need access data before committing database inspect 'serializer.validated_data' instead. i don't see editing serializer.data object. th...
Read more

Why does Go error when trying to marshal this JSON? -

-
i'm trying rather simple example of trying decode json file structs using golang. however, when attempting error that json: cannot unmarshal object go value of type []main.track which don't understand. here's code in question, , json can found here . package main import ( "encoding/json" "fmt" "net/http" "os" ) // tracks group of track types type tracks struct { tracks []track } // track represents singular track type track struct { name string url string artist artist } // artist represents single artist type artist struct { name string mbid string url string } func main() { url := "http://ws.audioscrobbler.com/2.0/?method=geo.gettoptracks&api_key=c1572082105bd40d247836b5c1819623&format=json&country=netherlands" response, err := http.get(url) if err != nil { fmt.printf("%s\n", err) os.exit(1) } de...
Read more