Hi Gordon, Need little more clarification around reading data from Kafka.
As soon as any component behaves as a consumer of a topic/queue (iof a messaging system), it essentially does polling of the data after a regular interval (that interval may be small though). Hence essentially it captures all data/events accumulated in the queue from last polling instant to the current polling in a pull manner This pattern is very different from real time push of data where a daemon process keeps on waiting on a continuous basis for any data pushed to it. So what I'm looking clarification for is whether Flink supports a mechanism where a data source (actually any client application) can push a data to a socket which is continuously listened by a deamon process of flink. Regards, Sourav On Mon, Jan 4, 2016 at 9:39 PM, Gordon Tai (戴資力) <tzuli...@gmail.com> wrote: > Hi Sourav, > > Flink's streaming processes incoming data by-each-entry (true streaming, > as compared to micro-batch), and streaming is inherently designed as a > push-model, where a topology of stream transformations "listens" to a data > source. > > You can have a Flink streaming topology's data source configured to be > sockets or message queues such as Kafka's topics. > Any event / data that is streamed to (or in other words, "pushed" to) the > socket or Kafka topic will be processed by the Flink topology in real-time. > > Therefore, the answer is yes to your question. Hope this helps. > > BR, > Gordon > > On Tue, Jan 5, 2016 at 12:42 PM, Sourav Mazumder < > sourav.mazumde...@gmail.com> wrote: > >> Hi, >> >> Does Flink support push based data streaming where the data source can >> push the events/data to Flink cluster over a socket (instead of Flink >> pulling the data at a given frequency)? >> >> Regards, >> Sourav >> > > > > -- > *Tzu-Li Tai (Gordon Tai)* > 戴資力 > > *National Cheng Kung University, Graduate Institute of Computer and > Communication Engineering* > *High Performance Parallel and Distributed Systems Laboratory (HPDS Lab)* > 國立成功大學電機工程學系 - 電腦與通信工程研究所 > 高效能平行/分散系統實驗室 (HPDS Lab) > > *National Cheng Kung University, Engineering Science Dpt.* > 國立成功大學工程科學系 > > *Contacts* > tzuli...@ee.ncku.edu.tw > http://tzulitai.ee.ncku.edu.tw > Linkedin: tw.linkedin.com/in/tzulitai > +886981916890 >
