Hi, I am using ignite 2.5.0 with spark 2.2.0 i have setup single node of ignite with data region size of max 60gb and initsize of 10gb with jvm heap size of 32g
I am streaming data from kafka and writing to ignite table. is spark a good solution to write realtime to ignite or should i use the datastreamer option of ignite. also when i am using spark my master is yarn 12 clients node of ignite get started with the spark workers. since my job is running in streaming mode is it safe if so many clients remain connected to ignite. Also how do i safely shutdown a ignite cluster. currently i am using kill -SIGTERM pid to shutdown the cluster. but many this does not work and cluster remains running mode . -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
