Open randomthought opened 5 years ago
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.
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"
Firstly thanks for the great work!
I am having difficulties trying to get simple_tensorflow_serving working on a Kubernetes cluster. Seems to be something with H20, logs are not descriptive enough for me to pinpoint it. It just keeps hanging on the connection refused error below.