You can try increasing the executor memory, generally this error comes when there is not enough memory in individual executors. Job is getting completed may be because when tasks are re-scheduled it would be going through.
Thanks. On Mon, 6 Jan 2020 at 5:47 AM, Rishi Shah <rishishah.s...@gmail.com> wrote: > Hello All, > > One of my jobs, keep getting into this situation where 100s of tasks keep > failing with below error but job eventually completes. > > org.apache.spark.memory.SparkOutOfMemoryError: Unable to acquire 16384 > bytes of memory > > Could someone advice? > > -- > Regards, > > Rishi Shah >
