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
