Job details - {{jobDetailCtrl.job.name}}


Every
Starting on
Job details
Python file
{{jobDetailCtrl.job.runConfig.appPath}}
Notebook file
{{jobDetailCtrl.job.runConfig.appPath}}
Jar file
{{jobDetailCtrl.job.runConfig.appPath}}
Main class name
{{jobDetailCtrl.job.runConfig.mainClass}}
Job arguments
{{jobDetailCtrl.job.runConfig.args}}
Experiment Type
{{jobDetailCtrl.job.runConfig.experimentType}}
Distribution Strategy
{{jobDetailCtrl.job.runConfig.distributionStrategy}}
Configuration parameters
Application master memory (MB)
{{jobDetailCtrl.job.runConfig.amMemory}}
Application master vcores
{{jobDetailCtrl.job.runConfig.amVCores}}
ResourceManager queue
{{jobDetailCtrl.job.runConfig.amQueue}}
Dynamic Executors
{{jobDetailCtrl.job.runConfig['spark.dynamicAllocation.enabled']}}
Minimum number of executors
{{jobDetailCtrl.job.runConfig['spark.dynamicAllocation.minExecutors']}}
Maximum number of executors
{{jobDetailCtrl.job.runConfig['spark.dynamicAllocation.maxExecutors']}}
Initial number of executors
{{jobDetailCtrl.job.runConfig['spark.dynamicAllocation.initialExecutors']}}
Number of executors
{{jobDetailCtrl.job.runConfig['spark.executor.instances']}}
Number of executor cores
{{jobDetailCtrl.job.runConfig['spark.executor.cores']}}
Executor memory (MB)
{{jobDetailCtrl.job.runConfig['spark.executor.memory']}}
Properties
{{jobDetailCtrl.job.runConfig.properties}}
JobManager memory (MB)
{{jobDetailCtrl.job.runConfig['jobmanager.heap.size']}}
Number of TaskManagers
{{jobDetailCtrl.job.runConfig['numberOfTaskManagers']}}
TaskManager memory (MB)
{{jobDetailCtrl.job.runConfig['taskmanager.heap.size']}}
Number of slots
{{jobDetailCtrl.job.runConfig['taskmanager.numberOfTaskSlots']}}
Properties
{{jobDetailCtrl.job.runConfig.properties}}
Number of Parameter Servers
{{jobDetailCtrl.job.runConfig.numOfPs}}
Number of GPUs
{{jobDetailCtrl.job.runConfig.numOfGPUs}}