@Sultan Alamro<mailto:sultan.ala...@gmail.com> great question. I had a similar scenario, where workers needed to aggregate host:port information for initializing an MPI ring, and I used direct socket communication between the workers and driver.
This is where the driver accepts sockets from workers: https://github.com/Azure/mmlspark/blob/master/src/main/scala/com/microsoft/ml/spark/lightgbm/LightGBMUtils.scala#L125 And this is where the workers send information to the driver: https://github.com/Azure/mmlspark/blob/master/src/main/scala/com/microsoft/ml/spark/lightgbm/TrainUtils.scala#L347 You could probably do something similar, and send the partitionId or some other id to the driver. Hope this helps! Thank you, Ilya From: Sultan Alamro <sultan.ala...@gmail.com> Sent: Friday, September 20, 2019 8:26 PM To: dev@spark.apache.org Subject: Spark Tasks Progress Hi all, I am trying to do some actions at the Driver side in Spark while an application is running. The Driver needs to know the tasks progress before making any decision. I know that tasks progress can be accessed within each executor or task from RecordReader class by calling getProgress(). The question is, how can I let the Driver call or have an access to getProgress() method of each task? I thought about using broadcast and accumulator variables, but I don't know how the Driver would distinguish between different tasks. Note that I am not looking for results displayed in Spark UI. Any help is appreciated!
