This is not really an Ignite question. Try asking it on Spark userlist: http://apache-spark-user-list.1001560.n3.nabble.com/
Running commands with & is a valid approach though. You can also try using nohup <https://linux.die.net/man/1/nohup>. Denis вс, 12 авг. 2018 г. в 5:12, ApacheUser <bhaskar.thungathu...@gmail.com>: > Hello Ignite Team, > > I have Spark job thats streams live data into Ignite Cache . The job gets > closed as soon as I close window(Linux shell) . The other spark streaming > jobs I run with "&" at the end of spark submit job and they run for very > long time untill they I stop or crash due to other factors etc. > > Is there any way I can run Spark-Ignite job continuously? > > This is my spark submit: > > spark-submit --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.0 > --master spark://<IP>:7077 --executor-cores x --total-executor-cores x > --executor-memory Xg --conf spark.driver.maxResultSize=Xg --driver-memory > Xg > --conf spark.default.parallelism=XX --conf > spark.serializer=org.apache.spark.serializer.KryoSerializer --class > com.yyyy.yyyy.dataload <path to Jar>.jar & > > > Thanks > > > > > -- > Sent from: http://apache-ignite-users.70518.x6.nabble.com/ >
