Comments (2)
tobegit3hub
commented on May 21, 2024
Thanks for reporting.
Have you setup the H2O cluster to run with one H2O instance? It seems to be the problem of network but I'm not sure why it fails to connect with localhost service.
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DivyaMereddy007
commented on May 21, 2024
I also got the same issue. Error Log:11-19 14:40:18.737 10.237.73.201:54321 18656 #80:54323 ERRR: Got IO error when sending batch UDP bytes: java.net.ConnectException: Connection refused. Below is the config I tried conf$spark.executor.instances <- 171
spark.yarn.executor.memoryOverhead<- 2048
conf$spark.executor.memory <- "18g"
conf$spark.executor.cores <- 5
spark.yarn.driver.memoryOverhead<- 39936
conf$spark.driver.memory<-"57.6g"
conf$spark.driver.cores<- 5
conf$'sparklyr.shell.executor-memory' <- "32g"
conf$'sparklyr.shell.driver-memory' <- "32g"
conf$spark.yarn.am.memory <- "32g"
conf$spark.dynamicAllocation.enabled <- "false"
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